記述言語：日本語   掲載種別：研究論文（学術雑誌）

The Corona disaster increased the demand for vending machines due to contactless, non-personal demand. This led to the creation of various types of vending machines, including French food vending machines. Furthermore, the Corona Disaster triggered the popularity of camping alone, and the popularity of hot sandwiches heated up. From this, in anticipation of demand, the company set out to produce a hot sandwich vending machine. The hot sandwich vending machine consists of three parts: a mechanism for feeding the ingredients, a mechanism for stacking the ingredients, and a mechanism for cooking the hot sandwich. First, bread and ingredients are placed on a plate. The plate is connected to a chain and driven by a DC motor. The amount of movement is controlled by an ultrasonic sensor. When the plate is lowered, the ingredients are placed on the conveyor belt. When the ingredients are placed, the conveyor belt is driven to the next placement point of the ingredients. The amount of movement is controlled using photo interrupters. This process is repeated until all the ingredients are placed on top of each other. The stacked ingredients are sent to the hot sandwich maker. Finally, the lid of the hot sandwich maker is closed and the sandwich is grilled for 5 minutes.

DOI： 10.12792/jjiiae.12.2.190

CiNii Research

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

When photographing near transparent objects such as glass, things in the area often appear in the image (reflected light). This reflected light degrades the image information and affects computer vision task such as object detection and segmentation. Separating reflected light in an image is a challenging task in computer vision. In this study, we create synthetic images and increase the number of training data. We proposed a reflection rejection method that used DeepLabv3+ as a deep learning model and measured the accuracy of the proposed method using PSNR and SSIM, commonly used evaluation methods for reflection rejection. The accuracy of the proposed method is improved compared to the conventional method due to the feature of DeepLabv3+ to obtain information in a wide range of contexts efficiently.

DOI： 10.1007/978-981-99-9109-9_18

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Autonomous driving has received enormous attention from the academic and industrial communities. However, achieving full driving autonomy is not a trivial task, because of the complex and dynamic driving environment. Perception ability is a tough challenge for autonomous driving, while 3D object detection serves as a breakthrough for providing precise and dependable 3D geometric information. Inspired by practical driving experiences of human experts, a pure visual scheme takes sufficient responsibility for safe and stable autonomous driving. In this paper, we proposed an anchor-free and keypoint-based 3D object detector with monocular vision, named Keypoint3D. We creatively leveraged 2D projected points from 3D objects’ geometric centers as keypoints for object modeling. Additionally, for precise keypoints positioning, we utilized a novel self-adapting ellipse Gaussian filter (saEGF) on heatmaps, considering different objects’ shapes. We tried different variations of DLA-34 backbone and proposed a semi-aggregation DLA-34 (SADLA-34) network, which pruned the redundant aggregation branch but achieved better performance. Keypoint3D regressed the yaw angle in a Euclidean space, which resulted in a closed mathematical space avoiding singularities. Numerous experiments on the KITTI dataset for a moderate level have proven that Keypoint3D achieved the best speed-accuracy trade-off with an average precision of (Formula presented.) at (Formula presented.) FPS on 3D cars detection.

DOI： 10.3390/rs15051210

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

6D pose estimation of arbitrary objects is a crucial topic for intelligent transportation infrastructure measurement. However, some external environmental factors and the characteristics of the object itself impact the accuracy of the object’s pose estimation in practical applications. In this paper, we propose a new multi-class dataset ICD-4 (Industrial car Components Dataset) for 6D object pose estimation, which mainly includes four component categories, and every category takes 20,000 different scenarios. ICD-4 dataset delivers quite a few research challenges involving the range of object pose transformations and has significant research value for small-scale pose estimation tasks. We also propose an innovative method PoseMLP, a pose estimation network that uses residual MLP (multilayer perceptron) modules to predict the 6D pose estimation directly. Simultaneously, the experimental results demonstrate the effectiveness and reliability of the proposed method.

DOI： 10.1109/TITS.2023.3250604

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Deep learning-based methods have taken center stage in image recognition, such as AlexNet and deep learning-based method. At present, Image recognition based on deep learning has been widely used in agriculture, factory automation, automated driving, medical fields and so on. In the fields of automated driving and medical care, the accuracy of the image recognition directly affects human lives. For these reasons, the importance of improving the accuracy of image recognition is clear. In this paper, we focus on instance segmentation tasks. The method used is Mask R-CNN, which is the basis of current state-of-the-art methods. The network structure based on ResNet, and we tried to improve the accuracy by adding Squeeze-and-Excitation Block (SE Block). According to the result of experiments, it is proved that this method has certain advantages for object instance segmentation.

DOI： 10.1007/978-981-99-2789-0_5

Scopus

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記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

コロナ禍により、自動販売機の需要が高まっている。さらに、コロナ禍をきっかけに一人キャンプが流行し、ホットサンドの人気が過熱した。これより、需要を見越してホットサンド自動販売機の製作を目指す。これまでに、ホットサンド自動販売機の駆動部を作成した。本論文ではセンサを搭載して自動で駆動させた。ホットサンド自動販売機は、具材を送る機構、具材を重ねる機構、ホットサンドを調理する機構の3つで構成されている。パンと各具材は、設置されたボードからチェーンを送ってベルトコンベアに設置する。具材はベルトコンベアで送られ、ホットサンドメーカーに移動する。ホットサンドメーカーの蓋を閉め、5分間焼き上げる。

DOI： 10.12792/iiae2023.035

CiNii Research

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

The wireless sensor network, WSN, is a promising technology to make our social life better. However, the maintenance of the battery attached to each sensor node avoids WSN widely be used. The zero standby-power sensor node (ZSSN) extends battery life by eliminating standby power, but they impose high cost and maintenance burdens because each node has its own battery and wireless module. This paper proposes a wired-wireless hierarchical sensor network consisting of a small network group of ZPSNs (Zero power sensor node) with large capacitor as power supply that are wired together, and the parent node has a wireless module and an energy harvester. The proposed WSN can suppress the number of energy harvesters and wireless modules to that of groups. There are no batteries by replaced to the capacitors. That is, our WSN can reduce the maintenance and cost caused by which there is no battery, and each only parent node has wireless module and energy harvester. The experimental result shows that the standby ZPSN can keep enough voltage 48 days on the large capacitor to operate in active mode correctly.

DOI： 10.1088/1742-6596/2559/1/012004

Scopus

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記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

近年、COVID-19.による感染症が世界的に流行しているため、手洗いが非常に重要になっている。感染症のウイルス、手に付着した細菌やウイルスは、正しい方法で手を洗わないと体内に侵入してしまう。これを防ぐことは特に難しい。この問題を解決するために、自動手洗いシステムを提案した。このシステムは、手の位置を検出する距離センサー、スポンジで手を洗う部分、石鹸を出す部分、シャワー用の水を出す部分、手を乾かす部分から構成される。まず、汚れた手をシステムに挿入する。距離センサーが手を認識すると、石鹸が手に塗られる。すると、システム下部からスポンジが現れ、丁寧に手を洗う。洗浄後、手はシャワーの水で丁寧にすすがれる。最後に温風で手を乾燥させる。しかし、このシステムでは手をきれいにするには不十分だった。そこで、ハンドソープを噴霧する部分と洗浄する部分のスポンジをブラシに変更し、システムを改良した。

DOI： 10.12792/iiae2023.050

CiNii Research

記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

人の多く集まる施設では，靴の取り違いや盗難事件は少なくない。また，特に身体障碍者や高齢者，子供などは靴を脱いだ後に，靴箱の高い箇所や低い箇所に靴を収納することが困難な場合がある。これらの問題を解決するために，特別研究1,2では顔認証を用いて靴を管理し，自動で靴の収納・取り出しを行う靴箱を開発した。本稿では顔認証を指紋認証に変更し，靴の大きさに合わせて使用する収納スペースを変えるシステムを導入した。この靴箱は，靴の取り違いなどによる靴の紛失を防止する。また，自動で靴を出し入れできるため，使用者は靴を探す手間や鍵を用いた保管を省略できる。

DOI： 10.12792/iiae2023.036

CiNii Research

記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

外出時に雨が降っていると，多くの人は傘をさして家を出る。しかし，外を歩いている途中から雨が降ると他人の傘を盗む人もいる。また，途中で雨が止んでしまうと，出先で傘を持って帰り忘れてしまう人も存在する。以前，私たちは顔認証による盗難防止機能を備えた傘立てシステムを提案した。今回はそれを改良して，傘立てに出先で傘を持って帰り忘れないための機能をつけて，格納場所を増やした。

このシステムは持ち主の顔を認識するカメラと，傘を預かる傘立てを備えている。カメラは建物の出口と傘立ての上部についているものとする。まず，傘を収納する際に傘立て上部のカメラで持ち主の顔を登録する。その後，傘を持ち運びたいときに再度そのカメラで顔認証を行うことで，システムは自動で傘を選択し持ち主に渡す。また，顔認証により窃盗も不可能となる。したがって，傘の盗難や混乱をなくすことが可能となる。更に，出口のカメラで顔認証を行うことによって．持ち主として登録した人物が傘を取らずに出て行くと，察知できる。

DOI： 10.12792/iiae2023.049

CiNii Research

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

A new design and detection method is proposed of image sensor based LED light marker with pulse modulation using under sampling. We use general image camera to detect different LED light makers with pulse modulation frequency more than 60 Hz. This is according to the under sampling analysis that converts signal with high frequency more than 60 Hz to lower frequency signals using image camera with low frame rate frequency less than 60 Hz. Experimental results are shown with different pulse modulation frequency.

DOI： 10.1117/12.2689220

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Railroad structures must be installed at a sufficient distance from trains based on the railroad's structure gauge. Consequently, there is a demand for a system that can accurately and efficiently determine the positions of these structures. We have developed a system that uses a single 2D-LiDAR to measure structures such as tunnels inside a railroad and to generate accurate 2D drawings. However, it was not possible to clearly distinguish which structure the measured points on the 2D drawing indicated, so visual confirmation was required. In this study, we propose a material identification method that is based on the incidence angle of the laser light in 2D-LiDAR to identify the type of structure on the generated 2D drawing. The accuracy of the system, when using the proposed method, was evaluated by the identification rate and the error in the calculated incidence angle. Verification experiments demonstrated that the identification accuracy exceeds 90%, and particularly high accuracy was observed for certain materials. The results of this research are of great importance in maintaining and managing railroad infrastructure.

DOI： 10.1109/BCD57833.2023.10466318

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In an aging society, accidents involving the elderly constitute a significant social issue. Constant supervision by caregivers, regardless of day or night, is essential for accident prevention, but this leads to an increased burden on caregivers, posing a serious challenge. Against this backdrop, there is a demand for the development of bed-exit detection systems as a monitoring solution for the elderly. Previous research has proposed a system capable of detecting a person's bed-exit while preserving privacy using a sensor called Obrid-Sensor. However, it presented practical challenges. Thus, this study proposes a bed-exit detection method that can adapt to actual environmental changes. The proposed method installs the sensor with infrared LEDs and IR filters under the caregiving bed. Moreover, we extracted the features of the target by applying the inter-frame difference methods to the brightness waveforms obtained. Accordingly, it becomes feasible to robustly detect bed-exit events while minimizing the influence of natural and artificial lighting. To evaluate the effectiveness of the proposed method, verification experiments were conducted against diverse background changes in actual environments. The results revealed that the bed-exit detection rate reached 100%, confirming the practicality of the proposed method, regardless of changes in the real environment or nighttime conditions. Additionally, the false-positive rate was restrained to 10.7% or less against factors potentially leading to misidentification, ensuring a reduction in erroneous detections. These findings suggest that the proposed method can be effectively utilized as a monitoring system for the elderly in actual environments.

DOI： 10.1109/BCD57833.2023.10466325

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

A well-performed deep learning model in image segmentation relies on a large number of labeled data. However, it is hard to obtain sufficient high-quality raw data in industrial applications. Meta-learning, one of the most promising research areas, is recognized as a powerful tool for approaching image segmentation. To this end, this paper reviews the state-of-the-art image segmentation methods based on meta-learning. We firstly introduce the background of the image segmentation, including the methods and metrics of image segmentation. Second, we review the timeline of meta-learning and give a more comprehensive definition of meta-learning. The differences between meta-learning and other similar methods are compared comprehensively. Then, we categorize the existing meta-learning methods into model-based, optimization-based, and metric-based. For each categorization, the popular used meta-learning models are discussed in image segmentation. Next, we conduct comprehensive computational experiments to compare these models on two pubic datasets: ISIC-2018 and Covid-19. Finally, the future trends of meta-learning in image segmentation are highlighted.

DOI： 10.1016/j.patcog.2022.108586

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

The purpose of this study is to suggest a new method that can easily detect obstacles surrounding by use of a circle line laser and fisheye camera. This system can be attached to a mobile robot, and obstacle detection can be taken in real time while moving. Conventional obstacle detection methods are widely used such as using ultrasonic sensors to detect the presence or absence of obstacles by transmitting ultrasonic waves from a transmitter and receiving the ultrasonic waves reflected by an object at the receiver. Also obstacle detection method using LiDAR uses remote sensing technology to detect obstacles and measure distances. Our proposed method is a different obstacle detection method that can detect obstacles surrounding with large range easily. We show the system construction by use of a circle line laser and fisheye camera and obstacle detection experimental results.

DOI： 10.1145/3543895.3543942

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In this research, we propose a system that allows participants to freely change their viewpoints and move using a remote camera control system that can share screens. We use the gesture picture of a participant through any web meeting system such as the zoom system to control the shared camera by any provider using shared screen. As an example, we construct the system using the general zoom system and two programs that are gesture recognition by capturing the participant window picture and camera control according the command of gesture to share the camera movies using zoom sharing screen. There is nothing special to purchase on the participant side, and no need to create an account for the cloud server, just install the above two programs on the PC of camera provider. The weak points of the conventional remote operation can be overcome by using our proposed system.

DOI： 10.1145/3543895.3543941

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Outdoor sports are very often dirty by practicing and playing matches. If you put the uniform that remains dirty in the washing machine as it is when washing such a dirty uniform and move it, sand and dust will get stuck in the washing machine and cause it to break down. Therefore, it is necessary to perform a process of washing down to remove the dirt of the sand attached to the surface by hand before putting it in the washing machine. There are many disadvantages such as rough or dirty hands when such underwashing is done manually. Therefore, we propose a robot that can automatically remove dirt from uniforms. We will explain how to use this robot. First fix the dirty uniform under this robot. Next, bring a small vacuum cleaner fixed to the robot servomotor to the top right of the uniform. Then clean the lower right of the uniform with a vacuum cleaner. By shifting this to the left side, you can remove the sand of the entire uniform. In addition, it is now possible to adjust the strength of the vacuum cleaner by connecting the conductor to the vacuum cleaner running with the battery and applying an appropriate voltage. In addition, it became a mechanism that can save electricity as much as possible by turning on the switch only when attached to the uniform in the program. By using this robot, you can automatically wash down without any disadvantages such as getting your hands dirty. In addition, time, human labor, electricity, etc. can be saved.

DOI： 10.1145/3543895.3543943

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Numerous high-accuracy neural networks for object detection have been proposed in recent years. Creating a specific training dataset seems to be the main obstacle in putting them into practice. This paper aims to overcome this obstacle and proposes an automatic dataset creation method. This method first extracts objects from the source images and then combines them as synthetic images. These synthetic images are automatic annotated using the data flow in the process and can be used directly for training. To the best of our knowledge, this is the first automatic dataset creation method for object detection tasks. In addition, the adaptive object extraction method and created natural synthetic images make the proposed method maintain strong adaptation and generalization ability. To validate the feasibility, a dataset that includes 44 categories of objects is created for the object detection task in a vending supermarket. Under the strictest metric <italic>AP₇₅</italic>, the trained EfficientDet achieves 98.7% accuracy on the common difficulty testing set and 93.1% accuracy on the high difficulty testing set.

DOI： 10.1109/ACCESS.2022.3195490

Scopus

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担当区分：責任著者   記述言語：日本語   掲載種別：記事・総説・解説・論説等（学術雑誌）

産業応用工学会は，製品化を視野に入れた応用研究からプロトタイプの製作，製品開発までを領域とし，その領域における研究，開発を推進する学会で，2012年に設立されました。和文論文誌は今回で10巻となり，学会も10月には10周年を迎えます。
　世界の経済成長とグローバル化が急速に進んでいる現在，日本産業が発展し続けるためには，オリジナリティ溢れる先進の製品を常に世界に向けて出し続けなければなりません。そのためには，企業と高等教育機関の連携が重要です。一般に応用研究は，実験や試作を繰り返し多くの時間を費やす割には，論文になりにくい領域でもあります。本学会ではこの領域の研究を積極的に評価します。高等教育機関側でも実用化に向けたプロトタイプの製作までが研究範囲となることで，高等教育機関と企業がタッグを組み，研究開発から製品設計製造までの一連の流れがスムーズにつながることが，日本の産業界の発展に有益であると考え，この学会を設立しました。
　10年前に比べると，産学連携の意義や重要性を認識する教員の数も増えてきました。一方，高等教育機関もグローバル化の波に飲み込まれており，論文数や論文の質が国際ランキングの順位を左右する要因の1つとなっています。このため，論文を世界に向けて発信し続ける必要もあります。一方では論文を出しなさい，もう一方では，論文になりにくい共同研究を進めなさいと言うジレンマに陥っています。この問題を解決するためには，企業と共同研究を行いながら，その成果を学術的に評価する仕組みが重要です。本学会に多くの方々に参加してもらい，応用研究の重要性が広まり，応用研究に参加する人がますます増えることが大切です。
　これまでの10年間で本学会誌もようやく定着してきましたが，まだまだ十分に認知されているとは言えません。今後の10年間で認知度ならびに学会の質をもう一段向上させて，日本の学術界ならびに産業界になくてはならない学会となる事を祈念して，発刊10巻の挨拶とさせていただきます。

DOI： 10.12792/jjiiae.10.1.1

CiNii Research

担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, many noncontact sensors are intended for facilities that require hygiene to be considered. However, there is a problem in that noncontact sensors could malfunction unintentionally. In addition, there is a demerit in that noncontact sensor is not possible to perform complicated operations with one sensor because it would be limited to the simple operation of turning on when hold hand over it. In this paper, we examine the principle of a noncontact sensor that responds only to the action of waving in front of the sensor as an intentional action and does not malfunction. Additionally, since there are large and small hand waving methods, hand waving alone could be used for multiple signals. Experiments show that the proposed system is to realize not only the states of ON and OFF but also various operations with a single noncontact button.

DOI： 10.1016/j.compeleceng.2021.107582

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In the process of transportation, the handling and loading methods of rigid objects are becoming more and more perfect. However, whether in today's transportation system or in daily life, such as packing objects or sorting cables before transportation, the manipulation of deformable objects has been always inevitable and has attracted more and more attention. Due to the super degrees of freedom and the unpredictable physical state of deformed objects. It is difficult for robots to complete tasks under the environment of the deformable object. Therefore, we present a method based on imitation learning. In the generated expert demonstration, the agent is offered to learn the state sequence, and then imitate the expert's trajectory sequence which avoid the above-mentioned difficulties. In addition, compared with the baseline method, our proposed DN-Transporter Networks are more competitive in a simulation environment involving cloth, ropes or bags.

DOI： 10.1109/TITS.2022.3168303

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

A complex outdoor environment includes variable illuminations, dynamic objects, and occlusion, making visual odometry in outdoor environments remains a challenging problem. This work trains a self-supervised pose estimation network based on the projection between adjacent frames. The pose between two adjacent frames is a 6D vector. It can be better solved with reliable pixels, instead of all the pixels. Thus, only reliable pixels are under consideration when training. This research proposed a boundary mask and inferior projection mask to eliminate the influence of unreliable pixels. Furthermore, we evaluated the proposed method on the KITTI datasets and compared it with other state-of-the-art deep learning-based visual odometry methods. The result shows that the proposed method can detect inferior projection and boundary pixels well. Moreover, it achieves higher accuracy in pose estimation.

DOI： 10.1007/s10015-022-00766-7

Scopus

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記述言語：日本語   掲載種別：研究論文（国際会議プロシーディングス）

人の多く集まる施設では，靴の取り違いや盗難事件は少なくない。また，特に身体障碍者や高齢者，子供などは靴箱の高い箇所や低い箇所に靴を収納することが困難な場合がある。そこで，本稿では顔認証を行うことで靴を管理し，自動で靴の収納・取り出しを行う靴箱を提案する。まず，使用者は設置されたカメラで顔写真を 登録し，靴を靴箱に預ける。靴箱から靴を取り出す際は，使用者の顔と登録した顔写真のリストで顔認証を行い，該当する靴を取り出す。この靴箱は靴の取り違いなどによる靴の紛失を防止し，靴を探す手間や鍵を用いた保管 を省略できる。

DOI： 10.12792/iiae2022.009

CiNii Research

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

工場での加工時,保管するときや輸送時,その他の工程でス金属部品の品質を保つために油を塗布する.それらの工程の途中で寸法測定が行われることがある。防錆油等の油膜が付着している被測定物を非接触式測定器のひとつである透過型レーザー変位計で測定すると測定誤差が生じてしまう。本研究では金属の形状を円柱に限定し,高解像度カメラとラインレーザーを用いた寸法測定において,反射光分布から油膜による測定誤差を低減させる。

DOI： 10.12792/iiae2022.007

CiNii Research

担当区分：筆頭著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

本学会は 2012 年に設立されました。中国を始めとして諸外国がめざましく経済発展する中，相対的に日本の産業力，影響力は低下しています。このような状況の中で，日本の産業界が生き残りをかけ，さらには他国に競争して勝つためには，オリジナリティーあふれる先進の製品を常に世界に向けて出し続ける必要があります。そのためには，企業と大学が連携して一体となって研究開発から製品化までを行う必要があります。しかし，実際のところ大学と企業では
スピード感が大きく異なります。また，応用研究やプロトタイプの製作は学術的にはあまり評価されていません。そこで，本学会では製品化を視野に入れた応用研究からプロトタイプの製作，製品開発までを領域とし，その領域における新規性，有効性を評価し，産業発展に寄与することを目的とする学会です。本学会が設立されてから 10 年間，果たして本学会は社会に貢献できたのか，今までの歩みと今後の方向性について講演します。

DOI： 10.12792/iiae2022.001

CiNii Research

記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

2020年，WHOはCOVID-19によるパンデミックを宣言し，感染者・死者数は日々増加している。これまで人類は様々な動物由来感染症と戦ってきた。一般社団法人ペットフード協会の「全国犬猫飼育実態調査」によると多くの犬猫と共存していることがわかる。このような状況で動物由来感染症が拡大しないようにする為には予防対策が非常に重要である。主な感染の伝播経路として，直接伝播と間接伝播が挙げられる。直接伝播の中で我々は，排泄物による感染方法に着目した。そこで，画像処理によって排泄を確認するとペットシーツを廃棄し，新たなペットシーツを設置する全自動ペットシーツ交換システムを開発したことで動物由来感染症に感染する確率を大きく下げることができた。しかし，飼い主が排泄物の状態を確認することなく排泄物を処理してしまうことでペットの健康状態の確認ができない。そこで，新たに排泄物の画像の確認機能，排泄物の色を判断して，異常があると判別した場合はメールにて通知する機能を追加した。異常がある色は，大きく分けると赤，黄，緑，黒，白の5色だと考えられる。

DOI： 10.12792/iiae2022.011

CiNii Research

担当区分：最終著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

スポーツとは個人または集団で行われる運動競技やその他の身体活動である．令和2年度「スポーツの実施状況等に関する世論調査」によると，成人の週一日以上のスポーツ実施率は59.9％と前年度を6.3％も上回る結果となっている．「令和元年度全国体力・運動能力，運動習慣等調査結果の概要について」によると，公立小学生のスポーツ実施率は97.1 ％，公立中学生のスポーツ実施率 は92.5 ％とほとんどの生徒が行っているという結果が ある．スポーツは種目に応じた多くの種類のユニフォー ムがあり，動きやすさやデザイン，見分けやすさなど，着用することにより多くのメリットがある．ユニフォームを，屋外のスポーツで使用すると，練習や試合でユニ フォームが砂で汚れることが多い．汚れたユニフォームをきれいに洗濯しようとしても，砂が多くついたユニフ ォームを洗うのは大変で，洗濯機だけだときれいに汚れを落とすことはできない．まず，手で下洗いをして，ある程度の汚れを落としてから洗濯機に入れる必要がある．しかし，この下洗いは時間がかかるうえになかなか汚れが取れなかったり洗剤で手が荒れたりと手作業ではとても面倒な作業である．そこで，昨年度の研究では泥を吸収する機能を自動で行うロボットを開発した．このロボットは小型の掃除機を先端に取り付けてユニフォームに押し付けながら全体の砂を吸引することで砂を自動で落とすことができる．しかし，このロボットは掃除機の吸引力が弱かったり掃除機の移動幅に隙間ができたり片面しか掃除できなかった りという問題があった．そこで，本研究では，電池でなくオンにするタイミングを制御できるように配線を組み 直し，プログラムで掃除機の動きを改善し，裏返す機能を取り付けた．

DOI： 10.12792/iiae2022.010

CiNii Research

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

IoT technology has made remarkable progress in recent years, and the world is full of IoT devices that continue to evolve every day. From smartphones, personal computers, and smartwatches to home appliances such as refrigerators and washing machines, and even indoor lights and house keys, IoT devices have become an inseparable part of our lives. In addition to devices used by individuals, IoT technology supports our daily lives from both front and back sides, such as IoT-enabled industrial equipment and satellite positioning systems. Japan has been making a national push to shift to IoT in industries that reduce the burden on workers and have recently been promoting a plan called Smart Agriculture, Forestry, and Fisheries. Among these three types of industries, the agricultural sector is slightly ahead of the others, with the Smart Agriculture Demonstration Project starting in 2019, and 182 districts in Japan are implementing the project by FY2021. The forestry and fisheries industries are also developing daily to become next-generation industries based on the program established in December 2019, although they are behind agriculture. However, the examples mentioned so far are those that have been promoted with the help of companies and the national government, although everyone has benefited from them. In this paper, we propose an IoT device that can be used as an IoT buoy by using a microcomputer, Raspberry Pi, to create a camera device that can distribute underwater images in real-time and track its location.

DOI： 10.1117/12.2655052

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In recent years, industrialization and economic development in countries around the world have led to an ever-increasing demand for energy. Renewable energies are attracting attention, but they still often use mineral resources such as coal, petroleum, and natural gas, and onshore resources are depleting day by day. These energy and metal resources, such as copper, support Japan's industries and affluent lifestyle, and if Japan continues to rely on imports for most of these resources, it will become difficult for Japan to secure a stable supply of these energies and resources. Therefore, mining of mineral resources on the seafloor is essential to solve these problems, and research on seafloor resource surveys and mining is underway. Because direct human exploration and mining of seafloor resources are naturally dangerous, underwater robots are used to explore and mine seafloor resources. However, due to light absorption and turbidity in water, the underwater image of an underwater robot is sometimes less visible, making exploration unsatisfactory. Therefore, there is a need for higher-resolution underwater images of underwater robots. In this study, we perform super-resolution of underwater images using an improved SRCNN to support research on underwater images of underwater robots. The conventional SRCNN method uses the ReLU function as the activation function, but the improved SRCNN uses the PReLU function and FReLU function, which are extended activation functions of the ReLU function, to improve accuracy.

DOI： 10.1117/12.2655051

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

With the widespread use of LiDAR sensors, 3D object detection through 3D point cloud data processing has become a research target in robotics and autonomous driving. However, the disorder and sparsity of point cloud data are the problems in traditional point cloud data processing. It is challenging to detect objects using a large amount of point cloud data. Conventional 3D object detectors have mainly grid-based methods and point-based methods. PV-RCNN proposed a framework that combines voxel-based and point-based techniques, and object features are extracted using 3D voxel CNNs. However, the resolution reduction caused by the CNN affects the localization of objects. This study aims to improve the detection accuracy of more minor things by feeding not only a single output of the voxel CNN but also multiple outputs, including high-resolution outputs, to the RPN. We came out with a new network that introduces the Multi-Scale Region Proposal Network to reduce the effect of resolution degradation. Our network has better recognition accuracy for small objects like bicycles than the original PV-RCNN. In extensive experiments, we demonstrate that our model has a 5% improvement for small things, such as cyclists training on the KITTI dataset.

DOI： 10.1117/12.2657106

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In recent years, robots have been used not only in factories. However, most robots currently used in such places can only perform the actions programmed to perform in a predefined space. For robots to become widespread in the future, not only in factories, distribution warehouses, and other places but also in homes and other environments where robots receive complex commands and their surroundings are constantly being updated, it is necessary to make robots intelligent. Therefore, this study proposed a deep learning grasp position estimation model using depth images to achieve intelligence in pick-and-place. This study used only depth images as the training data to build the deep learning model. Some previous studies have used RGB images and depth images. However, in this study, we used only depth images as training data because we expect the inference to be based on the object's shape, independent of the color information of the object. By performing inference based on the target object's shape, the deep learning model is expected to minimize the need for re-training when the target object package changes in the production line since it is not dependent on the RGB image. In this study, we propose a deep learning model that focuses on the stacked encoder-decoder structure of the Stacked Hourglass Network. We compared the proposed method with the baseline method in the same evaluation metrics and a real robot, which shows higher accuracy than other methods in previous studies.

DOI： 10.1109/COMPSAC54236.2022.00187

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, two-dimensional object detection (2D object detection) has been introduced in numerous applications such as building exterior diagnosis, crime prevention and surveillance, and medical fields. However, the distance (depth) information is not enough for indoor robot navigation, robot grasping, autonomous running, and so on, with conventional object detection. Therefore, in order to improve the accuracy of 3D object detection, this paper proposes an improvement of Point RCNN, which is a segmentation-based method using RPNs and has performed well in 3D detection benchmarks on the KITTI dataset commonly used in recognition tasks for automatic driving. The proposed improvement is to improve the network in the first stage of generating 3D box candidates in order to solve the problem of frequent false positives. Specifically, we added a Squeeze and Excitation (SE) Block to the network of pointnet++ that performs feature extraction in the first stage and changed the activation function from ReLU to Mish. Experiments were conducted on the KITTI dataset, which is commonly used in research aimed at automated driving, and an accurate comparison was conducted using AP. The proposed method outperforms the conventional method by several percent on all three difficulty levels.

DOI： 10.1016/j.cogr.2022.12.001

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

The development of various fields of computer is constantly improving people's lives. In recent years, the most obvious is the development of Artificial Intelligence (AI). Computer vision is applied to face recognition, natural language processing is applied to speech recognition, and machine learning is applied to data. Analysis and other typical application scenarios (He et al., 2019; Hosny et al., 2018; Yu et al., 2018 [1,2,3]). As the software part of robotics technology, artificial intelligence has become more and more mature. Recent research on robotics technology mainly centers on drones and assembly robots in intelligent manufacturing (Zhong et al., 2017; Egger and Masood, 2020; Chen, 2020 [4,5,6]). In addition to the above application scenarios, unmanned driving as the most important part of intelligent transportation is also a product of the combination of artificial intelligence and robots. In recent years, both academic and industrial aspects have conducted in-depth and extensive research on unmanned driving (Chen et al., 2019; Zhao et al., 2019 [7,8]). Moreover, with the gradual commercial use of the fifth-generation mobile communication technology (5G), theoretical research on the sixth-generation mobile communication technology (6G) has also begun. Stronger mobile communication technology will make the information transmission in the intelligent transportation system more stable. It also improves the reliability of Intelligent Transportation Systems (ITS), which is the most important property. We believe that 5G/6G and artificial intelligence will be the two core technologies of the future intelligent transportation system, and these two fields will also receive extensive attention, which is very likely to produce breakthrough research results, so this paper The purpose is to summarize the current development of these two fields, and summarize the cross-research progress between them, and then discuss the bottleneck of the current development of intelligent transportation system and point out the future research direction.

DOI： 10.1016/j.compeleceng.2021.107372

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

To realize image processing as hardware module is an effective way to achieve high performance and low power processing. However, hardware development is a heavy burden for software engineer handling image processing usually. High-level synthesis, HLS, converting software program to hardware automatically is a desirable technology for software engineer with less skill of hardware design. On the other hand, the HLS has a significant problem such as it tends to generate a large and low performance hardware when the software program input has never consideration of hardware organization. This paper, focusing on color image contrast enhancement based on histogram equalization, investigates software description methods considering hardware to make HLS generate a good hardware module with high-performance and low power.

DOI： 10.1109/TENSYMP52854.2021.9550810

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Industrial Internet of Things (IIoT) provide significant support for observing and controlling industrial machinery. In this article, a novel hierarchical feature enhancement network (HFEN) is proposed by combining signal processing and representation learning. The signal processing block extracts features with definite physical significance. Then, the representability of the physical features is improved by connecting stacked denoising autoencoders and squeeze-and-excitation networks. A novel two-stream architecture is designed for HFEN to fuse two types of features. Consequently, HFEN can extract features that can be analyzed for physical significance and that are also representative in terms of recognizable patterns. The experimental results prove that the performance of HFEN is satisfactory in terms of accuracy and efficiency when compared to other methods. Finally, this article also aims to demonstrate the potential of a new pairing that fuses the model-and data-driven strategies for IIoT.

DOI： 10.1109/TII.2020.3021688

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

An intelligent sensing system is mainly in assistive technology for supporting the elderly and people with disparities. A smart optical tactile sensor plays an important role in robot’s sense of touch. As processing system, an embedded system has fixed resource budget and is unsuitable for modern convolutional neural networks. However, the performances of convolutional neural networks have improved as their structure has be-come more complicated. This means that they incur higher computational costs and be-come slower. We proposed a smart optical tactile sensor, called “tactile object recognition system” in previous work. This paper extends the previous work by improving learning ability, reducing save storage and analyzing to improve compression rate of save stor-age. The proposed method consists of three steps: (i) shrinking CNN architecture, (ii) knowledge transfer by knowledge distillation, and (iii) weight sharing by quantization and K-means clustering algorithm. The performance of this method compares with shrinking, knowledge distillation, quantization technique and soft filter pruning. The result shows that the proposed method is able to improve the compression rate of save storage, and it outperforms the other compression network techniques.

DOI： 10.24507/icicelb.12.07.627

Scopus

CiNii Article

CiNii Research

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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Vehicle logo detection (VLD) is a special and significant topic in object detection for vehicle identification system applications. Nevertheless, the range of the research and analysis for VLD are seriously narrow in the real complex scenes, although it's a critical role in the object detection of small sizes. In this paper, we make further analysis work toward vehicle logo recognition and detection in real-world situations. To begin with, we propose a new multi-class VLD dataset, called VLD-45 (Vehicle Logo Dataset), which contains 45000 images and 50359 objects from 45 categories respectively. Our new dataset provides several research challenges involve in small sizes object, shape deformation, low contrast and so on. Meanwhile, we use 6 existing classifiers and 6 detectors to evaluate our dataset and show the baseline performance. According to the result, our dataset has very significant research value for the task of small-scale object detection. The dataset source: https://github.com/YangShuoys/VLD-45-B-DATASET-Detection

DOI： 10.1109/TITS.2021.3062113

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Person re-identification aims at automatically retrieving a person of interest across multiple non-overlapping camera views. Because of increasing demand for real-world applications in intelligent video surveillance, person re-identification has become an important computer vision task and achieved high performance in recent years. However, the traditional person re-identification research mainly focus on matching cropped pedestrian images between queries and candidates on commonly used datasets and divided into two steps: pedestrian detection and person re-identification, there is still a big gap with practical applications. Under the premise of model optimization, based on the existing object detection and person re-identification, this paper achieves a one-step search of the specific pedestrians in the whole images or video sequences in the real scene. The experimental results show that our method is effective in commonly used datasets and has achieved good results in real-world applications, such as finding criminals, cross-camera person tracking, and activity analysis.

DOI： 10.1007/s10015-021-00689-9

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In recent years, energy minerals have become more important due to the rapid industrialization worldwide. Due to the rapid industrialization on a global scale, there is a shortage of mineral resources, and there are more opportunities to rely on alternative energy sources. Therefore, the exploration of marine resources, which are abundant in the ocean, is being promoted. However, it is dangerous and impractical for humans to dive and search for marine resources by hand. Therefore, it is possible to proceed with underwater exploration safely by having a robot do the work instead. Robots have been used as a mainstream search tool in the underwater environment due to the existence of various hazardous environmental conditions. However, there are several problems associated with robot control in underwater environments, one of which is poor visibility in the water. One of the problems is the poor visibility in the water. To improve the visibility in the water, we are trying to increase the resolution of underwater images by using super-resolution technology. In this paper, we conduct experiments using SRCNN, which is a basic super-resolution technique for underwater images. In addition, we investigate the effectiveness of "Mish", which has been attracting attention in recent years for its potential to surpass the performance of "ReLU", although "ReLU"is a typical activation function of neural networks, on SRCNN.

DOI： 10.1117/12.2603761

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Virtual Reality (VR) systems are become popular in recent years, and the capture 3D objects from the real world have been studied. 3D objects have large and complex data. In this paper, we propose a novel method that use the shadow information and Photometric stereo with their surface from one point of view to recover the 3D shapes. The experimental results show that the proposed method performs well accuracy.

DOI： 10.1117/12.2604193

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Many animals, including pets and assistance dogs for the physically disabled, are all around us. However, there are also dangers to contact many zoonotic diseases. One of the routes of infection is though excrement, so we have developed a device to automatically fold pet sheets. In addition, we have developed a system that can remotely control this device so that it can be used in a car. The system consists of seven servo motors, a DC motor, and a pair of communication devices. When a button on the communication device is pressed while driving, the system automatically folds the pet sheets along the creases and throws them into the trash. This allows pet owners to dispose of their waste without touching the pet sheet, thus preventing zoonotic diseases. Experiments conducted on the disposal of pet sheets with urine and feces on them showed a 100% success rate.

DOI： 10.1117/12.2604364

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In-vehicle cameras and surveillance cameras are used in many situations in our daily lives. Visibility degradation in foggy environments is caused by the scattering of reflected light from real objects by minute water droplets or fog in the medium through which light passes. The degree of degradation depends on the density of suspended microparticles existing between the observed object and the observation point in the medium. In general, the farther the object is from the camera, the more it is affected by the fog. The purpose of image de-fogging is to improve the clarity of an object by removing the effects of fog in the image.

DOI： 10.1117/12.2603771

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Due to the rising demand for minerals and metals, various deep-sea mining systems have been developed for the detection of mines and mine-like objects on the seabed. However, many of them contain some issues due to the diffusion of dangerous substances and radioactive substances in water. Therefore, efficient and accurate visual monitoring is expected by introducing artificial intelligence. Most recent deep-sea mining machines have little intelligence in visual monitoring systems. Intelligent robotics, e.g., deep learning-based edge computing for deep-sea visual monitoring systems, have not yet been established. In this paper, we propose the concept of a learning-based deep-sea visual monitoring system and use testbeds to show the efficiency of the proposed system. For example, to sense the underwater environment in real time, a large quantity of observation data, including captured images, must be transmitted from the seafloor to the ship, but large-capacity underwater communication is difficult. In this paper, we propose using deep compressed learning for real-time communication. In addition, we propose the gradient generation adversarial network (GGAN) to recover the heavily destroyed underwater images. In the application layer, wavelet-aware superresolution is used to show high-resolution images. Therefore, the development of an intelligent remote control deep-sea mining system with good convenience using deep learning applicable to deep-sea mining is expected.

DOI： 10.1016/j.cogr.2020.12.002

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Visual servo is a method for robot arm motion control. It is controlled by the end effector velocity that is the result in calculating the internal Jacobi matrix and vector of feature error. In general, automatic robotic task require high quality sensor that can measure a 3-dimential distance, and do calibration in order to suit the sensor frame and robot frame in Euclidean space. In this paper, we only use RGB camera as the data collection, which not requiring the calibration in sensor frame. Thus, our method is simpler than any other automatic motion methods. Meanwhile, the proposed characteristics based visual servo method has varying the hyper parameter, and show the effectiveness for indicating the precision of pose error both simulation and actual environments.

DOI： 10.1016/j.cogr.2021.06.002

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In view of the existing privacy protection means, the sensitive areas in the pictures, such as face, text and other parts, are changed to protect privacy, or the objects involving privacy are removed from the picture or video. However, the obvious defect of these methods is that they destroy the practicability of the photos. When the privacy information in the photos is removed, the important information contained in the photos is also removed. In order to solve this problem, this paper introduces the generative adversarial network and proposes an image privacy protection algorithm. This algorithm defines information privacy methods and optimizes limited areas to ensure that information is properly protected. Different image protection schemes are designed to adapt and not adapt to the safe path. In order to meet the needs of privacy protection, we apply the image privacy protection algorithm in the generative adversarial network. Finally, the simulation analysis of the privacy protection algorithm based on the generative adversarial network is carried out. The experimental results show that compared with the encryption algorithm, the privacy protection algorithm based on the generative adversarial network has better performance in the end-to-end delay and encryption speed.

DOI： 10.1109/MLBDBI51377.2020.00105

Scopus

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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2020 IEEE. Big data-driven deep learning methods have been widely used in image or video segmentation. The main challenge is that a large amount of labeled data is required in training deep learning models, which is important in real-world applications. To the best of our knowledge, there exist few researches in the deep learning-based visual segmentation. To this end, this paper summarizes the algorithms and current situation of image or video segmentation technologies based on deep learning and point out the future trends. The characteristics of segmentation that based on semi-supervised or unsupervised learning, all of the recent novel methods are summarized in this paper. The principle, advantages and disadvantages of each algorithms are also compared and analyzed.

DOI： 10.1109/COMPSAC48688.2020.00-84

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2020. We address trade of between low latency and high accuracy for tactile image recognition using a random-dot sensor on embedded systems. Convolutional neural networks are developed deeper and more complicated to achieve higher accuracy, but realworld applications such as mobiles and embedded systems have a fixed resource budget. The resource-constrained platforms need to be driven in a timely fashion and keep high correctness to build an efficient convolutional neural network. We propose an efficient model based on a shrinking technique in order to manage the multi-objectives, that are low latency in embedded systems and an accurate model. The shrinking technique takes advantage of high accurate pretrained networks and reduces the number of parameters and number of operations. We not only provide faster and smaller model but also increase accuracy. We measured performance on tactile image for accuracy and Jetson TX2 for latency. The result showed that latency decreased by 28.3 percent, but high accuracy. ICIC International

DOI： 10.24507/icicel.14.07.703

Scopus

CiNii Research

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2020, Springer Nature Switzerland AG. The deep-sea tripod systems are designed and built at the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center (PCMSC) in Santa Cruz, California. They are recovered in late September 2014 after spending about half a year collecting data on the floor of the South China Sea. The deep-sea tripod systems are named as Free-Ascending Tripod (FAT), are deployed at 2,100 m water depth—roughly 10 times as deep as most tripods dedicated to measuring currents and sediment movement at the seafloor. Deployment at this unusual depth was made possible by the tripod’s ability to rise by itself to the surface rather than being pulled up by a line. Instruments mounted on the tripod took bottom photographs and measured such variables as water temperature, current velocity, and suspended-sediment concentration. FAT is used to better understand how and where deep-seafloor sediment moves and accumulates. Besides of this, we also use them to study the deep-sea biology. The obtained the images from the camera, the biology animals are hardly to be distinguished. In this project, we are concerned to use novel underwater imaging technologies for recovering the deep-sea scene.

DOI： 10.1007/978-3-030-04946-1_49

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2013 IEEE. Tactile object recognition (TOR) is critical in robot perception. However, as an embedded system, a robot brain has a fixed resource budget and is unsuitable for modern convolutional neural networks (CNNs). To bridge this gap, we present a simple network-compression approach that improves the accuracy-latency trade-off of the network. The multi-trim network structure (MTNS) is a robust combination of network compression (NC) techniques providing a lightweight network with no performance drop. Furthermore, as an optical tactile sensor, we present a random-dot sensor that obtains rich information with a single touch, thus avoiding modality fusion. The random-dot sensor captures the object shapes and inputs them to TOR. In an experimental evaluation, we compare the performances of the proposed MTNS approach with those of CNN filter pruning, the network quantization technique, an adaptive mixture of low-rank factorizations, and knowledge distillation. The MTNS better resolved the accuracy-latency trade-off in tactile object recognition than the modern NC methods. By combining the random-dot sensor and MTNS approach, TOR enhances the accuracy and processing time performances.

DOI： 10.1109/ACCESS.2020.3014879

Scopus

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担当区分：最終著者,　責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

IEEE Image segmentation with language referring expression can complete object segmentation based on expression text. Existing image segmentation methods show good results on high-performance computers, but most robot systems need real-time and high accuracy. At present, most methods cannot meet these requirements well. Therefore, we propose a high-precision and real-time deep learning network that integrates the two tasks of image segmentation with language referring expression and referring expression comprehension and then treats them as two branches. Specifically, the proposed network first merges the two tasks. The feature maps of different scales extracted by each branch are fed back to the two branches to obtain prediction results. These two tasks promote and restrict each other. Experiments show that our method has better real-time performance and higher accuracy than existing methods.

DOI： 10.1109/JSEN.2020.3041046

Scopus

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記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

It is difficult for the people have physical disabilities. Especially, people with poor fingertips drive a car while using an accelerator on right hand and a brake on left hand. But, there is a problem that is difficult for those people. We suggest the blinker and hazard lamp support system for the people have handicapped in arm and fingers. The system determines the face direction using the camera and microphone. After that the system starts a blinker or hazard. As a result, we made possible for those people turn on a blinker or hazard.

DOI： 10.12792/jjiiae.8.2.140

CiNii Article

CiNii Research

担当区分：責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2019 IEEE. Surface-Defect segmentation plays an important role. It is very necessary to detect on products during production process. Though there are several previous works in surface-defect segmentation, it needs high handcraft skill. We address automatic segmentation algorithm in surface using U-shape inverted residuals to achieve end-to-end learning network. A proposed method is data acquisition, surface-defect segmentation network creation and training. First, the experimental image is augmented by image processing technique, such as rotation, flip, translation, skew and zoom in, which is randomly augmented. Second, U-shape inverted residuals segmentation network is created by changing backbone of encoder and reconstructs decoder by inverted of encoder in order to improve performance of segmentation network. In the final step, the training step of the proposed network is set. To evaluate the performance of the proposed network, each plastic hose tip and dental caries 10, 000 image are used to compare between proposed network and Unet [15]. From the experiment, Dice score and IoU are 77.11% and 62.75% in plastic hose tip, respectively. In dental caries problem, Dice score and IoU are 84.16% and 72.65%, respectively. The results show that the proposed network is satisfactory and able to be improved for higher performance. Advantages of the method are that it avoids handcraft feature extraction and is automatically learning.

DOI： 10.1109/BMEiCON47515.2019.8990212

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2019 Elsevier B.V. With the global popularity of Internet of Things (IoT) technology, increasingly numbers of digital mobile products have been developed, and they have increased the productivity of people's daily lives. These electronic products are used in all aspects of life, such as medical care, office life, home services, and sports. However, most of these products are designed for healthy people with high literacy rates. For disabled people, these products cannot be widely used. In this paper, new, differently shaped touch sensors are proposed for body sensor network-based devices. This touch sensor can be formed into any shape because of the use of conductive fabric adhesive tape as a switch. That property is why the sensor can change positions in the body sensor network in which the human body is used as a trigger to safely activate the touch switch. The number of switch sensors can easily be increased or decreased without changing the wiring of the central controller. The number of sensors in a switch sensor system is greater than that in other touch switch systems, and the accuracy is higher.

DOI： 10.1016/j.comcom.2019.07.019

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2019 IEEE. The scientific and technological revolution of the Internet of Things has begun in the area of oceanography. Historically, humans have observed the ocean from an external viewpoint in order to study it. In recent years, however, changes have occurred in the ocean, and laboratories have been built on the sea floor. Approximately 70.8 percent of the Earth's surface is covered by oceans and rivers. The Ocean of Things is expected to be important for disaster prevention, ocean resource exploration, and underwater environmental monitoring. Unlike traditional wireless sensor networks, the Ocean Network has its own unique features, such as low reliability and narrow bandwidth. These features will be great challenges for the Ocean Network. Furthermore, the integration of the ocean network with artificial intelligence has become a topic of increasing interest for oceanology researchers. The cognitive ocean network (CONet) will become the mainstream of future ocean science and engineering developments. In this article, we define the CONet. The contributions of the article are as follows: a CONet architecture is proposed and described in detail; important and useful demonstration applications of the CONet are proposed; and future trends in CONet research are presented.

DOI： 10.1109/MWC.2019.1800325

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2019 Association for Computing Machinery. ACM The current fishing population is getting small. As one of the causes, it is conceivable that young people in their 20s and 30s are getting away from fishing due to overuse smartphones. We thought that the population of fishing may increase by being able to fish more easily, therefore this system was developed and focused on the action of tying fishing lines which is indispensable for fishing. This system requires only one hand, so it is easy not only for handicapped people but also for fashionable people to tie a fishing line. This system can be used in the bad weather. This system will make the fishing population increase in Japan(1).

DOI： 10.1145/3325291.3325382

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2019 Association for Computing Machinery. The purpose of this study is to develop a device that can make the choreography of dance easily. Since ancient times, people have given meanings and various purposes to dance as an action to music such as expressing emotions, praying to God, and transmitting traditional history. The research why people dance [1] leads us to the conclusion: people dance in order to convey what they can not tell with words. The messages of dance has not been changed until today. Dancing is recognized as the simplest means of communication. When we dance, we do not need words, and dancing is expected to offer opportunities of communication and to improve communication skills[2]. a large-scale tournament is held as a sport, Such as baseball and volleyball, and the participants and the audiences from all over the world are impressed. Like this way, dancing also touches people’s hearts. And probably everyone knows how wonderful dancing is. There are 6 million people doing street dance in Japan and street dance has high popularity and status[3]. Japanese Ministry of Education announced the martial arts and dance class are compulsory in a junior high school in March 2008 [4],. and they said “Dance is one of the exercises to communicate with friends through exchanging expressions and movements and change image. It is recognized as a movement that we can enjoy feeling emotion with others, capturing images and expressing oneself.” This is why Japanese Ministry of Education regard dancing as a required subject. From these facts, it is obvious that dance is familiar to anyone and it is enjoyed by all ages, genders and tribes all over the world. In order to dance, " Choreographer of the dance" is very important. The choreographer is the subject of this research. Now, the dance has become more familiar, and dance production will inevitably become more familiar. It is one of the good examples that the martial arts and dance are compulsory in junior high school described above. The dance classes in the elementary school mainly focus on learning personal skills such as capturing the characteristics of rhythms and dances. But in junior high school, the dance classes mainly focus on group learning and team learning. And it aims at communication and presentation through the process of deepening the expression in dancing. [4]. To make a presentation, making choregraph is necessary. There are another scene that the creative dance is required such as stage appearances at cultural festivals and events at banquets. They are familiar to us. Although creating dance has become familiar, creating dance is not easy for amateur students and adults. So they cannot create dance right away, and some training is required. I think that there are some solutions to overcome by developing application in choregraphing dance. The procedures for choreographing dances at entertainments and cultural festivals are mainly described as follows [5]. 1. Define for whom to dance. 2. Define the place to dance. 3. Choose a song to use. 4. Find videos to help you choreograph. 5. Move in front of the mirror to check. 6. Write down the choreograph on paper to record it. Steps 1 to 3 are the foundations for the choreographer. The procedure will determine the direction of choreography. Step 4 is a search for choreography that fits the direction defined in step 3. It is difficult to design every choreography from the beginning without dance experience. Therefore, it is often used to find videos of experienced dance creators. Step 5 is to confirm and correct the choreography.. Step 6 is to make a dancing score to explain the choreography to others while making sure to remember the choreography that you created. The goal of this study is to develop an application or tool that can solve the complains in these procedures and increase the efficiency. Therefore, in this research, we have decided to take up two points. One of these is in Step 5: "I can’t see the movement by myself" and the other is in Step 6 "I forget the choreography I created". The reason we focused on the two points is that dance is difficult to remain as a form comparing other general creation. If the suggestion for dance choreography can be actually confirmed, checking at the mirror will not be necessary, and at the same time there will be no worries about forgetting choreography. Therefore, It can be expected to omit steps 5 and 6. From these things, the purpose of this research is to make dance formable and simplify the creation of choreography by developing an application that saves and reproduces choreography of dance for students who are not familiar to dance production. The following applications and tools have already existed. Standing position creation application "daisy beat" that can register the standing position of the dancer in each scene [7]. Step 2 and step 6 can be improved. You can create a dance score which can express a pose with a stickman. Dance score creation application "odorifu" [8]. Step 6 can be improved. A dance video search application "choreograph master dance!" [9]. Step 4 can be improved.

DOI： 10.1145/3325291.3325383

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2019 Association for Computing Machinery. The introduction of automatic guided vehicles is increasing in the world. However, it has a big problem of dropping luggage. As a method for preventing this, the automatic guided vehicle itself is required to measure the arrangement and size of the load and to automatically run according to the state of the load. As loads of automatic guided vehicles, cardboard boxes are well used and they are stacked up. In such a case, it is difficult to recognize the overlapping of objects by image processing, because the colors of them are similar. In order to solve this problem, a plurality of high-performance cameras are required, but it costs. In this study, the four illuminations are turned on one by one . The four images are captured by a camera located to top side. The shadows of object are formed around it, so it is possible to easily extract the edge of object. To detect edge, we practice image processing. Contrast adjustment is practiced to the captured four images as preprocessing. Next, the four images are synthesized to one image. After the binalization, the edge is extracted. Since the shadow exists around object, we can extract the edge easily. From the extracted edge, it is possible to detect the size of object overlapping. Actually, we practiced some experiments. Four boxes with different sizes were prepared. Their colors are all the same. In the conventional method, when the boxes overlapped, it was not possible to detect the upper box. However, with this method, even when the boxes overlap, it was possible to correctly detect the size of all the boxes. The detection error is less than 5%.

DOI： 10.1145/3325291.3325385

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2019 Association for Computing Machinery. In recent years, the demand for unmanned transfer robots is increasing. However, most unmanned transfer robots run on a predetermined route. It cannot easily change its route. There is a possibility of collision if there is a package in the route. The technique of obstacle detection is important to avoid collision with obstacles. Currently, as an obstacle detection sensor, an ultrasonic sensor, PSD sensor camera are often used. However, these sensors have some disadvantages. As for ultrasonic sensor, an error occurs is caused by noise, and it cannot measure in a wide range. PSD sensors also cannot be used in a wide range. In addition, it malfunctions due to irregular reflection from the floor. In the case of a camera, it is necessary to sequentially update the background image. We cannot detect distance to the object by camera. In order to solve the above problems, this study proposes a method for obstacle detection using a line laser and a camera. With this method, an obstacle is detected in a wide range. It is possible to measure the size of and the distance to obstacle. In addition, it has the following features compared with the conventional methods. (1) Processing is simpler than camera processing. (2) It is not affected by variations in illumination and sound noise. (3) As the work before a robot starts, only setting the irradiation angle of laser and the distance between laser and robot. Therefore, the preliminary work can be remarkably reduced.

DOI： 10.1145/3325291.3325384

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 1986-2012 IEEE. As it combines AI and IoT, autonomous driving has attracted a great deal of attention from both academia and industry because of its benefits to the economy and society. However, ultra-low delay and ultra-high reliability cannot be guaranteed by individual autonomous vehicles with limited intelligence and the existing architectures of the Internet of Vehicles. In this article, based on a cloud/fog-computing pattern and the IoT AI service framework, we propose a cross-domain solution for auto-driving. In contrast to existing studies, which mainly focus on communication technologies, our solution achieves intelligent and flexible autonomous driving task processing and enhances transportation performance with the help of the Cognitive Internet of Vehicles. We first present an overview of the enabling technology and the architecture of the Cognitive Internet of Vehicles for autonomous driving. Then we discuss the autonomous driving Cognitive Internet of Vehicles specifically from the perspectives of what to compute, where to compute, and how to compute. Simulations are then conducted to prove the effect of the Cognitive Internet of Vehicles for autonomous driving. Our study explores the research value and opportunities of the Cognitive Internet of Vehicles in autonomous driving.

DOI： 10.1109/MNET.2019.1800339

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017 Elsevier Ltd In recent years, underwater image processing has been a focus of many studies. Most underwater image processing technologies are focused on descattering, absorption correction and reflection correction. For a deep sea mining machine, dust seriously affects visual acuity. To correct for this, a two-part dust removal approach is proposed. Underwater red-green minimum channel prior descattering is used to remove fine dust in the first stage. However, the impact of dust streaks on images is always undesirable. Consequently, we propose a further deep convolutional neural-network-based dust removal method. The experimental results show that the proposed method performs better in removing haze-like scatters and dust-like scatters.

DOI： 10.1016/j.optlastec.2017.09.017

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2019, Springer Science+Business Media, LLC, part of Springer Nature. The scientific and technological revolution in Internet of Things is set off in oceanography. Humans have always observed the ocean outside the ocean to study the ocean. In recent years, it changes have been made into the interior of the ocean and the laboratories have been built on the sea floor. Approximately 71% of the Earth’s surface is covered by water. Ocean of things is expected to be important for disaster prevention, ocean resource exploration, and underwater environmental monitoring. Different from traditional wireless sensor networks, ocean of things has its own unique features, such as low reliability and narrow bandwidth. These features may be great challenges for ocean of things. Furthermore, the integration of artificial intelligence and ocean of things has become a topic of increasing interests for oceanology research fields. Cognitive ocean of things (COT) will become the mainstream of future ocean science and engineering development. In this paper, we provide the definition of COT, and the main contributions of this paper are (1) we review the ocean observing networks all the world; (2) we propose the COT architecture and describe the details of it; (3) important and useful applications are discussed; (4) we point out the future trends of COT researches.

DOI： 10.1007/s11276-019-01953-4

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2013 IEEE. High-definition display technology for underwater images is of great significance for many applications, such as marine animal observation, seabed mining, and marine fishery production. The traditional underwater visual display systems have problems, such as low visibility, poor real-time performance, and low resolution, and cannot meet the needs of real-time high-definition displays in extreme environments. To solve these issues, we propose an underwater image enhancement method and a corresponding image super-resolution algorithm. To improve the quality of underwater images, we modify the Retinex algorithm and combine it with a neural network. The Retinex algorithm is used to defog the underwater image, and then, the image brightness is improved by applying gamma correction. Then, by combining with the dark channel prior and multilayer perceptron, the transmission map is further refined to improve the dynamic range of the image. In the super-resolution process, the current convolutional neural network reconstruction algorithm is only trained on the Y channel, which will lead to problems due to the insufficient acquisition of the color feature. Therefore, an image super-resolution reconstruction algorithm that is based on color features is proposed. The experimental results show that the proposed method improves the reconstruction effect of the image edges and texture details, increases the image clarity, and enhances the image color recovery.

DOI： 10.1109/ACCESS.2019.2925209

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2013 IEEE. To monitor the sedimentary process and morphological evolution in the South China Sea, free-ascending deep-sea tripod (FDT) has been developed. This FDT was equipped with a deep-sea camera and landed on the sea floor at a depth of 2100 m. Although the FDT was equipped with an artificial light, the battery capacity limited the duration and intensity of light. Therefore, enhancing such low-illumination images to obtain clear visual effects is an important advancement for analyzing the geological evolution process. In this paper, an adaptive bright-color channel-based low-light underwater image-enhancement method and a denoising method are proposed to enhance such images and remove noise and artifacts. The experimental results demonstrated that the proposed method outperformed state-of-the-art methods.

DOI： 10.1109/ACCESS.2019.2897691

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

Copyright © 2019 Inderscience Enterprises Ltd. Image segmentation is a fundamental process in image processing that has found application in many fields, such as neural image analysis, and underwater image analysis. In this paper, we propose a novel fast level set method (FLSM)-based underwater image segmentation method to improve the traditional level set methods by avoiding the calculation of signed distance function (SDF). The proposed method can speed up the computational complexity without re-initialisation. We also provide a fast semi-implicit additive operator splitting (AOS) algorithm to improve the computational complex. The experiments show that the proposed FLSM performs well in selecting local or global segmentation regions.

DOI： 10.1504/IJCSE.2019.101879

Scopus

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記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

身体に障害を持つ人にとって車を運転することは困難である。特に，手や指先が不自由な人は足でウインカーを動作させる特別仕様車を使い運転する人もいる。しかし，運転しながらウインカーを出したり，ワイパーを出したりすることは難しいという問題がある。そこで，そのような人が簡単にウインカーやハザードを出せるシステムの開発を行うことにした。このシステムは，音声で起動した後，顔の方向でウインカーやハザードを出すシステムである。顔方向はOpen CVのoptical flowを用いて判別する。これにより手や指先に障害を持つ人が運転中に簡単にウインカーやハザードを出すことを可能にした。

DOI： 10.12792/iiae2019.025

CiNii Article

CiNii Research

記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017, Springer Science+Business Media New York. Convolutional networks are currently the most popular computer vision methods for a wide variety of applications in multimedia research fields. Most recent methods have focused on solving problems with natural images and usually use a training database, such as Imagenet or Openimage, to detect the characteristics of the objects. However, in practical applications, training samples are difficult to acquire. In this study, we develop a powerful approach that can accurately learn marine organisms. The proposed filtering deep convolutional network (FDCNet) classifies deep-sea objects better than state-of-the-art classification methods, such as AlexNet, GoogLeNet, ResNet50, and ResNet101. The classification accuracy of the proposed FDCNet method is 1.8%, 2.9%, 2.0%, and 1.0% better than AlexNet, GooLeNet, ResNet50, and ResNet101, respectively. In addition, we have built the first marine organism database, Kyutech10K, with seven categories (i.e., shrimp, squid, crab, shark, sea urchin, manganese, and sand).

DOI： 10.1007/s11042-017-4585-1

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2018 Elsevier B.V. In recent years, unmanned aerial vehicle (UAV) technologies have rapidly developed. Drones, which are one type of UAV, are used in many industrial fields, such as photography, delivery and agriculture. However, a commercial drone can fly for only approximately 20 min on one charge. Furthermore, drones are prohibited from flying in some areas, and cannot be operated in bad weather. Due to the development of drone technologies, we must reduce energy consumption and achieve long-range movement. To overcome these limitations, we develop a new air–land amphibious car drone that can fly and requires less power consumption in land mode; this extends the range of mobility of the drone. Moreover, land mode can be used to pass through restricted areas or bad weather conditions by sliding. Furthermore, we develop a Convolutional Neural Network (CNN)-based algorithm for detecting the road in a captured scene. To more accurately segment the road region based on images from the equipped camera of the drone, we propose atrous spatial pyramid pooling (ASPP) ResNet blocks, instead of Resblocks, which were proposed by DeepLab. The experimental results demonstrate that the proposed method improves the pixel accuracy (PA) to 85.6% and achieves a mean Intersection over Union (mIoU) of 55.8%.

DOI： 10.1016/j.future.2018.02.036

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017 IEEE. Unmanned aerial vehicles (UAVs) are used in many fields including weather observation, farming, infrastructure inspection, and monitoring of disaster areas. However, the currently available UAVs are prone to crashing. The goal of this paper is the development of an anomaly detection system to prevent the motor of the drone from operating at abnormal temperatures. In this anomaly detection system, the temperature of the motor is recorded using DS18B20 sensors. Then, using reinforcement learning, the motor is judged to be operating abnormally by a Raspberry Pi processing unit. A specially built user interface allows the activity of the Raspberry Pi to be tracked on a Tablet for observation purposes. The proposed system provides the ability to land a drone when the motor temperature exceeds an automatically generated threshold. The experimental results confirm that the proposed system can safely control the drone using information obtained from temperature sensors attached to the motor.

DOI： 10.1109/JIOT.2017.2737479

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2018 Elsevier B.V. Underwater optical images are usually influenced by low lighting, high turbidity scattering and wavelength absorption. To solve these issues, a great deal of work has been performed to improve the quality of underwater images. Most of them use the high-intensity LEDs for lighting to obtain the high contrast images. However, in high turbidity water, high-intensity LEDs cause strong scattering and absorption. In this paper, we propose a light field imaging approach for solving underwater imaging problems in a low-intensity light environment. As a solution, we tackle the problem of de-scattering from light field images by using deep convolutional neural networks with depth estimation. Furthermore, a spectral characteristic-based color correction method is used for recovering the color reduction. Experimental results show the effectiveness of the proposed method by challenging real-world underwater imaging.

DOI： 10.1016/j.future.2018.01.001

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

In this paper, an identifying and classifying algorithm is proposed to solve the problem of recognizing objects accurately and effectively. First, via image preprocessing, initial images are obtained via denoising, smoothness, and image erosion. Then, we use granularity analysis and morphology methods to recognize the objects. For small objects identification and to analyze the objects, we calculate four characteristics of each cell: area, roundness, rectangle factor, and elongation. Finally, we segment the cells using the modified active contour method. In addition, we apply chromatic features to recognize the blood cancer cells. The algorithm is tested on multiple collected clinical cases of blood cell images. The results prove that the algorithm is valid and efficient when recognizing blood cancer cells and has relatively high accuracy rates for identification and classification. The experimental results also certificate the effectiveness of the proposed method for extracting precise, continuous edges with limited human intervention, especially for images with neighboring or overlapping blood cells. In addition, the results of the experiments show that this algorithm can accelerate the detection velocity.

DOI： 10.1007/s11042-017-4529-9

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017, Springer Science+Business Media, LLC. Optical underwater images often demonstrate low contrast, heavy scatter, and color distortion. Contrast enhancement methods have been proposed to solve these issues. However, such methods typically do not consider high-level inhomogeneous scatter removal and do not focus on real-scene color restoration. We proposed a hierarchical transmission fusion method and a color-line ambient light estimation method for image de-scattering from a single input image. Our proposed method can be summarized into three steps. Firstly, we take the dark channel as prior information to estimating the preliminary transmission and ambient light. In the second step, we then use color lines to estimate the refined ambient light in selected patches. The refined transmission is obtained by hierarchical transmission maps using maximum local energy-based fusion at different turbidity levels. We then use a joint normalized filter to obtain the final transmission. Finally, a chromatic color correction method and de-blurring algorithm are used to recover the scene color. Experimental results demonstrate that the accurate estimation of the depth map and ambient light by the proposed method can recover visually appealing images with sharp details.

DOI： 10.1007/s11036-017-0933-7

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017, Springer Science+Business Media, LLC. When measuring the magnetism of large objects such as air cargo, magnetic flux is measured using a fixed magnetic sensor as the large object is moved. However, there are some problems for moving large objects. One is the strength of the moving machine, and another is the manufacturing cost of the machine. In general, many companies with large objects requiring magnetic measurement send the objects to a magnetic measurement company instead of obtaining the measurement themselves. However, as the number of such measurements increases, the cost increases. To address these problems, we propose a novel magnetic measurement method that enables magnetic measurement when a large object is fixed but a magnetic sensor is moved. Using our method, magnetic flux can be easily measured, regardless of an object’s size, and does not require a machine to move large objects.

DOI： 10.1007/s11036-017-0931-9

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017, Springer Science+Business Media, LLC. Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan’s economy and solves various social problems. In recent years, AI has attracted attention as a key for growth in developed countries such as Europe and the United States and developing countries such as China and India. The attention has been focused mainly on developing new artificial intelligence information communication technology (ICT) and robot technology (RT). Although recently developed AI technology certainly excels in extracting certain patterns, there are many limitations. Most ICT models are overly dependent on big data, lack a self-idea function, and are complicated. In this paper, rather than merely developing next-generation artificial intelligence technology, we aim to develop a new concept of general-purpose intelligence cognition technology called “Beyond AI”. Specifically, we plan to develop an intelligent learning model called “Brain Intelligence (BI)” that generates new ideas about events without having experienced them by using artificial life with an imagine function. We will also conduct demonstrations of the developed BI intelligence learning model on automatic driving, precision medical care, and industrial robots.

DOI： 10.1007/s11036-017-0932-8

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© Copyright 2018 The Institute of Electronics, Information and Communication Engineers. This paper shows a describing method of an image processing software in C for high-level synthesis (HLS) technology considering function chaining to realize an efficient hardware. A sophisticated image processing would be built on the sequence of several primitives represented as sub-functions like the gray scaling, filtering, binarization, thinning, and so on. Conventionally, generic describing methods for each subfunction so that HLS technology can generate an efficient hardware module have been shown. However, few studies have focused on a systematic describing method of the single top function consisting of the sub-functions chained. According to the proposed method, any number of sub-functions can be chained, maintaining the pipeline structure. Thus, the image processing can achieve the near ideal performance of 1 pixel per clock even when the processing chain is long. In addition, implicitly, the deadlock due to the mismatch of the number of pushes and pops on the FIFO connecting the functions is eliminated and the interpolation of the border pixels is done. The case study on a canny edge detection including the chain of some sub-functions demonstrates that our proposal can easily realize the expected hardware mentioned above. The experimental results on ZYNQ FPGA show that our proposal can be converted to the pipelined hardware with moderate size and achieve the performance gain of more than 70 times compared to the software execution. Moreover, the reconstructed C software program following our proposed method shows the small performance degradation of 8% compared with the pure C software through a comparative evaluation preformed on the Cortex A9 embedded processor in ZYNQ FPGA. This fact indicates that a unified image processing library using HLS software which can be executed on CPU or hardware module for HW/SW co-design can be established by using our proposed describing method.

DOI： 10.1587/transinf.2017RCP0001

Scopus

CiNii Article

CiNii Research

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Copyright © 2018 EAI. In recent years, unmanned aerial vehicle (UAV) technologies are developing rapidly. Drone, one type of the UAVs, is used in many industrial fields, such as photography, delivery and agriculture. However, the commercial drone can flying only about 20 minutes at one charge. Furthermore, the drone prohibits flying at the limited area, and it also can’t work in bad weather. Due to the development of drone technologies, we must reduce energy consumption, and realize high range movement. In order to solve these limitations, we develop a new type of drone, which has the function of flight and vehicle can move less power consumption. It extends high range of mobility to drone. Moreover, it can be used to pass through the limitation area or bad weather condition by sliding.

DOI： 10.4108/eai.28-9-2017.2273334

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© Springer International Publishing AG 2018. Aerial unmanned vehicle is widely used in many fields, such as weather observation, framing, inspection of infrastructure, monitoring of disaster areas. However, the current aerial unmanned vehicle is difficult to avoid falling in the case of failure. The purpose of this article is to develop an anomaly detection system, which prevents the motor from being used under abnormal temperature conditions, so as to prevent safety flight of the aerial unmanned vehicle. In the anomaly detection system, temperature information of the motor is obtained by DS18B20 sensors. Then, the reinforcement learning, a type of machine learning, is used to determine the temperature is abnormal or not by Raspberrypi processing unit. We also build an user interface to open the screen of Raspberrypi on laptop for observation. In the experiments, the effectiveness of the proposed system to stop the operation state of drone when abnormality exceeds the automatically learned motor temperature. The experimental results demonstrate that the proposed system is possibility for unmanned flight safely by controlling drone from information obtained by attaching temperature sensors.

DOI： 10.1007/978-3-319-69877-9_32

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© Springer International Publishing AG 2018. Underwater optical images are usually influenced by low lighting, high turbidity scattering and wavelength absorption. In order to solve these issues, a great deal of work has bee n used to improve the quality of underwater images. Most of them used the high-intensity LED for lighting to obtain the high contrast images. However, in high turbidity water, high-intensity LED causes strong scattering and absorption. In this paper, we firstly propose a light field imaging approach for solving underwater depth map estimation problems in low-intensity lighting environment. As a solution, we tackle the problem of de-scattering from light field images by using deep convolutional neural fields in depth estimation. Experimental results show the effectiveness of the proposed method through challenging real world underwater imaging.

DOI： 10.1007/978-3-319-69877-9_33

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017, Springer Science+Business Media New York. Underwater cameras are widely used to observe the sea floor. They are usually included in autonomous underwater vehicles (AUVs), unmanned underwater vehicles (UUVs), and in situ ocean sensor networks. Despite being an important sensor for monitoring underwater scenes, there exist many issues with recent underwater camera sensors. Because of light’s transportation characteristics in water and the biological activity at the sea floor, the acquired underwater images often suffer from scatters and large amounts of noise. Over the last five years, many methods have been proposed to overcome traditional underwater imaging problems. This paper aims to review the state-of-the-art techniques in underwater image processing by highlighting the contributions and challenges presented in over 40 papers. We present an overview of various underwater image-processing approaches, such as underwater image de-scattering, underwater image color restoration, and underwater image quality assessments. Finally, we summarize the future trends and challenges in designing and processing underwater imaging sensors.

DOI： 10.1007/s11036-017-0863-4

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

� Springer International Publishing AG 2017. There have been increased developments in ocean exploration using autonomous underwater vehicles (AUVs) and unmanned underwater vehicles (UUVs). However, the contrast of underwater images is still a major issue for application. It is difficult to acquire clear underwater images around underwater vehicles. Since the 1960s, sonar sensors have been extensively used to detect and recognize objects in oceans. Due to the principles of acoustic imaging, sonar-imaged images have many shortcomings, such as a low signal to noise ratio and a low resolution. Consequently, vision sensors must be used for short-range identification because sonars yield to low-quality images. This thesis will concentrate solely on the optical imaging sensors for ocean observing. Although the underwater optical imaging technology makes a great progress, the recognition of underwater objects also remains a major issue in recent days. Different from the common images, underwater images suffer from poor visibility due to the medium scattering and light distortion. First of all, capturing images underwater are difficult, mostly due to attenuation caused by light. The random attenuation of the light mainly causes the haze appearance along with the part of the light scattered back from the water. In particular, the objects at a distance of more than 10 m are almost indistinguishable because of absorption. Furthermore, when the artificial light is employed, it can cause a distinctive footprint on the seafloor. In this paper, we will analysis the recent trends of ocean exploration approaches.

DOI： 10.1007/978-3-319-46245-5_1

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. The wireless sensor network (WSN) is a promising technology for monitoring infrastructures, industrial structures, home security, industrial security, elderly people, and so on. An attractive characteristic of the WSN is to be easily installed to the conventional places by using the battery driven sensor nodes. The equipment cost is rather cheap since the heavy constructing work for wiring the power rails is not needed. On the other hand, the management cost to change the batteries attached to many sensor nodes may be large. Conventional researches have reduced the power consumption of the WSN, i.e. extended the battery life, to reduce such management cost. Some of them have attempted to make the sensor node stay at the standby mode as much as possible, and to reduce the standby power consumption. In contrast to reduce the standby power, we have proposed the sensor node that completely eliminates the standby power consumption. However, the proposed sensor node wakes up from the status without any power, while the conventional node wakes up from the status with some power even if the standby current is very small. That is, the wake-up time of the proposed sensor node may become longer than the conventional node. The longer the wake-up time, the larger the power consumption. This time duration may affect to the power consumption of the WSN when using the proposed sensor nodes. This paper extends the traditional equations for the battery life estimation to our sensor node in order to perform an initial trade-off quickly by using simple equations in an early stage of the development. The estimation calculates the battery life considering the wakeup time by using the measured parameters. As a result of the estimation, it is shown that the our proposal can realize the attractive WSN applications with a long battery life by greatly reducing the power consumption compared with the conventional sensor nodes.

DOI： 10.1109/CSE-EUC-DCABES.2016.179

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2017 IEEE. In this paper, we describe a system that learns surrounding human voice and sounds emitted from an object, and visually conveys it to hearing impaired people. In Japan where the total population of hearing impaired people increases, although the disparity from healthy people is narrowed by enriching the welfare service dedicated to the hearing impaired, the surrounding people (nursing care person) become variously to the hearing impaired people needed to take care. In this paper, we propose an information transmission system using speech recognition as a service for surrounding people who care for the hearing impaired, to make the deaf person behave as a healthy person in the same position.

DOI： 10.1109/ACIT-CSII-BCD.2017.66

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. We are from the previous, we continue the improvement of the previous studies. It is improvement of the system for initial extinguishing detects the fire. This system is able to perform automatic initial fire in a house fitted with a fire extinguisher. Features of the system, can operate the extinguisher by remote control via a Web browser. In addition, processing the image of the infrared camera in a python program that uses OpenCV. As a result, automatically detects the fire, and sends an alert to the user. In this study, we made improvements to this system. As a result, it became possible to detect a wide range of fire extinguishing.

DOI： 10.1109/ACIT-CSII-BCD.2016.029

Scopus

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担当区分：責任著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. The magnetic measurement of large objects suchas the air cargo fixes magnetic sensor and we move an object andmeasure the amount of change. In this case, in a device movingan object, a problem occurs. It is a problem of the strength ofmaterials and the manufacture cost. Therefore the manufacturerasks the specialized company for the magnetic measurement ofthe large object in many cases. However, in the manufacturerproducing large measurement objects of the having many kinds, a large cost is necessary for magnetic measurement. Thus wepropose that method of new magnetic measurement usingposture information. By this new method, we move magneticsensor and enable the magnetic measurement of the object. Wedevelop the new magnetic measurement system whichcorresponds to an object of what kind of size and weight by astudy of this method.

DOI： 10.1109/ACIT-CSII-BCD.2016.026

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.5.71

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Copyright © 2016 John Wiley & Sons, Ltd. Wound area changes over multiple weeks are highly predictive of the wound healing process. A big data eHealth system would be very helpful in evaluating these changes. We usually analyze images of the wound bed for diagnosing injury. Unfortunately, accurate measurements of wound region changes from images are difficult. Many factors affect the quality of images, such as intensity inhomogeneity and color distortion. To this end, we propose a fast level set model-based method for intensity inhomogeneity correction and a spectral properties-based color correction method to overcome these obstacles. State-of-the-art level set methods can segment objects well. However, such methods are time-consuming and inefficient. In contrast to conventional approaches, the proposed model integrates a new signed energy force function that can detect contours at weak or blurred edges efficiently. It ensures the smoothness of the level set function and reduces the computational complexity of re-initialization. To increase the speed of the algorithm further, we also include an additive operator-splitting algorithm in our fast level set model. In addition, we consider using a camera, lighting, and spectral properties to recover the actual color. Numerical synthetic and real-world images demonstrate the advantages of the proposed method over state-of-the-art methods. Experimental results also show that the proposed model is at least twice as fast as methods used widely. Copyright © 2016 John Wiley & Sons, Ltd.

DOI： 10.1002/cpe.3927

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. Computer-generated Holograms (CGHs) are widely used for constructing optical wave fronts from numerically objects. In this paper, we propose a novel type of speckle elimination method for Lohmann-type CGHs, which is called Iterative Speckle Reduction Algorithm (ISRA). This algorithm is proposed for the speckle reduction in the reconstruction of digital holograms. The speckles can be reduced by avoiding the isolated zeros among the sampled points of the reconstructed image. The results show that the speckle elimination method highly improved the traditional Lohmann-type method for image reconstruction.

DOI： 10.1109/TENCON.2016.7848111

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.5.15

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. In recent years, sonar has been widely used for restoring the underwater terrain. Sonar imaging has the benefits such as long-range photographing, robust for turbidity water. However, it is not suitable for short-range imaging. Meanwhile, it also cannot meet the need of mining machine. Therefore, it is important to develop a 3D reconstruction method for short-range imaging. In this paper, we propose a Kinect-based underwater 3D image reconstruction method. To overcome the drawbacks of low accuracy of depth maps, we propose a novel super-resolution (SR) method, which uses the underwater dark channel prior dehazing, weight guided image SR, and inpainting. The proposed method considered the influence of mud sediments in water, it performs better than the traditional methods. The experimental results demonstrated that, after inpainting, dehazing and the super-resolution, it can obtain high accuracy depth maps.

DOI： 10.1109/ICPADS.2016.0168

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2017 IEEE. Underwater optical cameras are widely used for security monitoring in ocean, such as earthquake prediction and tsunami alarming. Optical cameras recognize objects for autonomous underwater vehicles and provide security protection for sea-floor networks. However, there are many issues for underwater optical imaging, such as forward and backward scattering, light absorption, and sea snow. Many underwater image processing techniques have been proposed to overcome these issues. Among these techniques, the depth map gives important information for many applications of the post-processing. In this paper, we propose a Kinect-based underwater depth map estimation method that uses a captured coarse depth map by Kinect with the loss of depth information. To overcome the drawbacks of low accuracy of coarse depth maps, we propose a corresponding reconstruction architecture that uses the underwater dual channels prior dehazing model, weighted enhanced image mode filtering, and inpainting. Our proposed method considers the influence of mud sediments in water and performs better than the traditional methods. The experimental results demonstrated that, after inpainting, dehazing, and interpolation, our proposed method can create high-accuracy depth maps.

DOI： 10.1109/ACCESS.2017.2690455

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© MYU K.K. Smart touch sensors are used in many applications, such as the iPhone and some smart home systems. Recent touch sensors perform well in consumer electrical devices; however, there are some drawbacks. For example, most touch sensors have low accuracy for detecting human movements. Many require significant power and have a fixed shape. We propose a flexible, highly accurate, and energy-conserving touch sensor. Our primary contributions are as follows: (1) an energy-conserving touch sensor is developed and tested experimentally; (2) a flexible and arbitrarily shaped touch sensor is designed; and (3) the manufacturing cost is very low and up to 200 touch sensors can be connected to the system. As a result, this energy-conserving touch sensor can be fabricated using common manufacturing processes for consumer electronic devices.

DOI： 10.18494/SAM.2017.1458

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2013 IEEE. Underwater images are degraded due to scatters and absorption, resulting in low contrast and color distortion. In this paper, a novel self-similarity-based method for descattering and super resolution (SR) of underwater images is proposed. The traditional approach of preprocessing the image using a descattering algorithm, followed by application of an SR method, has the limitation that most of the high-frequency information is lost during descattering. Consequently, we propose a novel high turbidity underwater image SR algorithm. We first obtain a high resolution (HR) image of scattered and descattered images by using a self-similarity-based SR algorithm. Next, we apply a convex fusion rule for recovering the final HR image. The super-resolved images have a reasonable noise level after descattering and demonstrate visually more pleasing results than conventional approaches. Furthermore, numerical metrics demonstrate that the proposed algorithm shows a consistent improvement and that edges are significantly enhanced.

DOI： 10.1109/ACCESS.2017.2648845

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2016 by the authors; licensee MDPI, Basel, Switzerland. The number of accidents involving elderly individuals has been increasing with the increase of the aging population, posing increasingly serious challenges. Most accidents are caused by reduced judgment and physical abilities, which lead to severe consequences. Therefore, studies on support systems for elderly and visually impaired people to improve the safety and quality of daily life are attracting considerable attention. In this study, a road surface condition distinction method using reflection intensities obtained by an ultrasonic sensor was proposed. The proposed method was applied to movement support systems for elderly and visually impaired individuals to detect dangerous road surfaces and give an alarm. The method did not perform well in previous studies of puddle detection, because the alert provided by the method did not enable users to avoid puddles. This study extended the method proposed by previous studies with respect to puddle detection ability. The findings indicate the effectiveness of the proposed method by considering four road surface conditions. The proposed method could detect puddle conditions. The effectiveness of the proposed method was verified in all four conditions, since users could differentiate between road surface conditions and classify the conditions as either safe or dangerous.

DOI： 10.3390/s16101678

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. Vision-based underwater navigation and object detection requires robust computer vision algorithms to operate in turbid water. Many conventional methods aimed at improving visibility in low turbid water. In this paper, we propose a novel contrast enhancement measurement for different enhancement methods' assessment. As a rule to compare the performance of different image enhancement algorithms, a more comprehensive image quality assessment index Q is proposed. The index combines the benefits of SSIM index and colour distance index. Experimental results show that the proposed approach statistically outperforms state-of-the-art general purpose underwater image contrast enhancement algorithms.

DOI： 10.1109/IS3C.2016.19

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. In daily life, people often forgotten their luggage or things by some mistakes. It makes people's life much more terrible. In order to prevent such incidents from happening again, we designed a lost luggage reminder system, which based on electrically conductive fiber antenna (ECFA) tag and acceleration sensors. The information of IC tag marked objects (such as books or wallet) are collected by ECFA tag, and send it to RFID reader. Meanwhile, utilize the acceleration sensors for distinguish the status of objects. If the objects are lost, system will notice the owner. The proposed system overcomes the drawbacks of traditional reminder systems (e.g. it can be applied in any occasion, can be distinguished within a very short time, and can be detected the luggage with a long distance). During abundant experiments, we evaluate the proposed system both with high accuracy and high speed.

DOI： 10.1109/IS3C.2016.17

Scopus

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記述言語：日本語   掲載種別：記事・総説・解説・論説等（大学・研究所紀要）

DOI： 10.1109/IS3C.2016.5

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. Accidents in daily life happen more often on elderly people owing to regressions in judgement and physical abilities. Meanwhile, the increasing number of accidents happened on visual impairment is becoming a social problem. Based on backgrounds, the movement support systems for improving the safety of elderly and visually impaired people are attracting a lot of attentions. In our previous research, road surface condition distinction method using reflection intensities obtained by ultrasonic sensor has been proposed. The proposed method is applied to the movement support system for elderly or visually impaired people for detecting dangerous road surfaces and giving an alarm to users. In this paper, the method based on the previous one with puddle detecting ability is proposed, and the evaluation of the improved method has been implemented according to experimental results. The proposed method can be applied in support systems on wheel chairs and white canes for improving safety.

DOI： 10.1109/IS3C.2016.41

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2016 IEEE. Vision-based underwater navigation and object detection requires robust computer vision algorithms to operate in turbid water. Many conventional methods aimed at improving visibility in low turbid water. In this paper, we propose a novel contrast enhancement to enhance high turbid underwater images using descattering and color correction. The proposed enhancement method removes the scatter and preserves colors. In addition, as a rule to compare the performance of different image enhancement algorithms, a more comprehensive image quality assessment index u is proposed. The index combines the benefits of SSIM index and color distance index. Experimental results show that the proposed approach statistically outperforms state-of-the-art general purpose underwater image contrast enhancement algorithms. The experiment also demonstrated that the proposed method performs well for image classification.

DOI： 10.1109/ICIP.2016.7532708

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2016 Elsevier Ltd Vision-based underwater navigation and object detection requires robust computer vision algorithms to operate in turbid water. Many conventional methods aimed at improving visibility in low turbid water. High turbid underwater image enhancement is still an opening issue. Meanwhile, we find that the de-scattering and color correction of underwater images affect classification results. In this paper, we correspondingly propose a novel joint guidance image de-scattering and physical spectral characteristics-based color correction method to enhance high turbidity underwater images. The proposed enhancement method removes the scatter and preserves colors. In addition, as a rule to compare the performance of different image enhancement algorithms, a more comprehensive image quality assessment index Q u is proposed. The index combines the benefits of SSIM index and color distance index. We also use different machine learning methods for classification, such as support vector machine, convolutional neural network. Experimental results show that the proposed approach statistically outperforms state-of-the-art general purpose underwater image contrast enhancement algorithms. The experiment also demonstrated that the proposed method performs well for image classification.

DOI： 10.1016/j.compeleceng.2016.08.008

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.4.148

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© 2016 Elsevier Inc. All rights reserved. This paper describes a novel method for enhancing optical images using a weighted guided trigonometric filter and the camera's spectral properties in turbid water. Absorption, scattering, and artificial lighting are three major distortion issues in underwater optical imaging. Absorption permanently removes photons from the imaging path. Scattering is caused by large suspended particles found in turbid water, which redirect the angle of the photon path. Artificial lighting results in footprint effects, which cause vignetting distortion in the captured image. Our contributions include a novel deep-sea imaging method that compensates for the attenuation discrepancy along the propagation path, and an effective underwater scene enhancement scheme. The recovered images are characterized by a reduced noise level, better exposure of dark regions, and improved global contrast such that the finest details and edges are significantly enhanced. Our experiments showed that the average Peak Signal to Noise Ratio (PSNR) improved by at least 1 dB when compared with state-of-the-art-methods.

DOI： 10.1016/j.jvcir.2016.03.029

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.4.80

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.4.61

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.12792/JIIAE.4.94

担当区分：最終著者   記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2015 IEEE. Wound area changes over multiple weeks are highly predictive of the wound healing process. Big data processing is considered as one of the main solutions for it. We usually analysis the images of wound bed. Unfortunately, accurate measurements of wound area changes are difficult. In this paper, we propose a novel level set model (LSM) for pre-processing the intensity inhomogeneity images before encoder. State-of-The-Art LSMs can segment objects. However, most of these methods are time-consuming and inefficient. The proposed fast level set model (FLSM) is based on the piecewise constant and piecewise smooth Chan-Vese model and additive operator splitting algorithm. Different from conventional approaches, the proposed model integrates a new signed energy force function that can efficiently detect contours at weak or blurred edges. It ensures the smoothness of the level set function and reduces the computational complexity of re-initialization. Numerical synthetic and real world images demonstrate the advantages of the proposed method over state-of-The-Art methods. Experimental results also show that proposed model is at least twice as fast as the widely used models.

DOI： 10.1109/CBD.2015.37

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2015 MTS. The deep-sea tripod systems designed and built at the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center (PCMSC) in Santa Cruz, California. They were recovered in late September 2014 after spending about half a year collecting data on the floor of the South China Sea. The Free-Ascending Tripod (FAT) was deployed at 2,100 meters water depth-roughly 10 times as deep as most tripods dedicated to measuring currents and sediment movement at the seafloor. Deployment at this unusual depth was made possible by the tripod's ability to rise by itself to the surface rather than being pulled up by a line. Instruments mounted on the tripod took bottom photographs and measured such variables as water temperature, current velocity, and suspended-sediment concentration. FAT is used to better understand how and where deep-seafloor sediment moves and accumulates. Besides of this, we also use them to study the deep-sea biology. The obtained the images from the camera, the biology animals are hardly to be distinguished. In this paper, we are concerned to use the image processing technology for recovering the deep-sea scene.

DOI： 10.23919/oceans.2015.7401872

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Copyright © 2016 Inderscience Enterprises Ltd. This paper describes a novel method for ocean scene 3D reconstruction. While light is travelling through water, light rays are distorted depending on the wavelength. That is, absorption, scattering and colour distortion are three major distortion issues for underwater optical imaging. Scattering is caused by large suspended particles, as in turbid water that contains abundant particles, which causes the degradation of the captured image. Colour distortion corresponds to the varying degrees of attenuation encountered by light travelling in water at different wavelengths, causing ambient underwater environments to be dominated by a bluish tone. Our key contributions proposed here include a novel deep-sea imaging model to compensate for the attenuation discrepancy along the propagation path and an effective underwater scene 3D reconstruction method. The recovered 3D images are characterised by a reduced noise level, better exposure of the dark regions, and improved global contrast where the finest details and edges are enhanced significantly.

DOI： 10.1504/IJCSE.2016.076950

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

For the wireless sensor network (WSN), one of the most significant problems is the battery exchange for many sensor nodes. To make the battery changing rarely happen, we have proposed the sensor node architecture with zero standby power. We performed the preliminary experiments for the proposed node. However, we have never shown an application realized by it. In this paper, we demonstrate an application using our sensor node as the door monitor. The result of the case study have shown that our proposed sensor node can Implement a door monitoring system In the WSN and significantly reduced the power consumption during the standby compared with the conventional one.

Scopus

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担当区分：最終著者   記述言語：英語   掲載種別：研究論文（学術雑誌）

© Copyright 2016 Inderscience Enterprises Ltd. We describe a method for removing non-Gaussian image noise in natural images, underwater images and biomedical images, based on a statistical model of the decomposed contourlet coefficients. This method utilises the non-Gaussian multivariate shrinkage (NGMS) probability density function (PDF) to model neighbourhood contourlet coefficients. Then, according to the proposed PDF model, we design a maximum a posteriori (MAP) estimator, which relies on a Bayesian statistics representation for the contourlet coefficients of noisy images. There are three obvious virtues of this method. Firstly, contourlet transform decomposition prior to curvelet transform and wavelet transform by using ellipse sampling grid. Secondly, NGMS model is more effective in presentation of the noisy image contourlet coefficients. Thirdly, the NGMS model takes full account of the correlation between coefficients. Some comparisons with the best available results will be presented in order to illustrate the effectiveness of the proposed method.

DOI： 10.1504/IJCSE.2016.076210

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2015 IEEE. The many companies have been developing the various products relating to robots in the recent decades. Despite the market range of robots have enlarged, robots are not spread yet. There are a lot of problems to be solved and we focused on the charging method. If this is solved, the robots will become more widespread than now. In this paper, we will introduce the overview of new contact-type charger needless the positioning which we already developed. In addition to that, we are going to introduce and explain the device which can communicate with charger using only two lines.

DOI： 10.1109/ICIEV.2015.7333999

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

©, 2015 ICIC international. This paper aimed to propose a body parts 3D mesh data construction method by using a consumer 3D camera. A modified Phase-Only-Correlation (POC) method is applied to the detection of the corresponding point. Different from a dedicated measurement stereo camera, the optical axes of a consumer use 3D camera is installed several meters in front of the lens in order to give a sense of reality of human being’s visual characteristic. This study contributes an additional template matching approach to POC and finds a fitting function to the traditional triangulation measurement method to compensate for its disadvantage. The simulation shows that the proposed method constructs a correct 3D mesh shape of body parts surface.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

©, 2015 ICIC international. This research proposes an Image Processing System Touch Panel using Single Camera. Image processing based single camera figure touch position detection approach has several significant advantages. (1) No sensing devices need to be instrumented on the surface of the touch screen. (2) Minimum sensor construction can reduce the failure rate to realize maintenance free system. (3) This approach enables an easy installation and a low-cost touch sensing. The problem of using a single camera is how to detect the touch action and the position of the finger from a single view image. In order to solve this problem, we use the reflected fingertip image that appears on the back of the screen. Detecting the fingertip and the reflected image on the screen effectively, we enable to detect touch position only using single camera. In this paper, we provide concrete method, algorithm, implement details, and several experimental results.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Blue LEDs are now mass-produced, and road traffic signal heads using LED systems are being used. LED signal heads have advantages such as energy savings and a long life. However, newly proposed LED signal heads have difficulty reducing problems such as the washout phenomenon. In this paper, we have proposed reducing the washout phenomenon of LED signal heads by using LED element 192 and the low-reflection black plate called a "phantom board" on a blank area between the elements. On the basis of light intensity distribution and luminance uniformity measurements, it was confirmed that the LED signal head we proposed satisfies the conditions described in the traffic signal lighting specifications of the National Police Agency. The visibility of the signal head was improved, as apparent from the before and after improvement pictures taken in the morning and the evening when the sun was at a low altitude and as a result of the phantom ratio.

DOI： 10.2150/jieij.99.589

Scopus

CiNii Article

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© Springer International Publishing Switzerland 2015. This paper describes a novel method to recover underwater images by devignetting and colour correction. Scattering and colour distortion are two major problems of degradation for underwater imaging. Scattering is caused by large suspended particles. Colour distortion corresponds to the varying degrees of attenuation encountered by light traveling in water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. To this end, we propose a novel underwater imaging model, which is much closer to the light propagation model in underwater environment. We remove the noise by dual-tree complex wavelet transform. Then, solve the non-uniform illumination of artificial lights by devignetting. Finally, we recover the image colour through camera spectral responses. The corrected images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges preserving.

DOI： 10.1007/978-3-319-21969-1_46

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

This paper proposes a novel power supply circuit that can make a standby power consumption of an infrared remote (IR) controlled product completely zero. In our proposal, the ground or power line of IR controlled product in standby mode is disconnected by a power transistor. Thus, the power consumption is zero because there is no electric current path. When the user pushes the power-on button on the IR remote controller, the strong infrared light is irradiated. The infrared photodiodes attached to the IR controlled product generates the electromotive force by receiving the infrared light. This electromotive force drives the power transistor and the disconnected ground or power line is connected. As a result, the IR controlled product in standby mode with zero power is activated without any power consumption. The activated product keeps the connection of the ground or power line, and can continue to be controlled by the same single remote controller. The experimental result demonstrates that our power circuit actually achieves the zero standby power consumption while the conventional power circuit consumes the adequate standby power to be activated by the IR remote controller. The estimation indicates that our proposal does not affect the battery life of IR remote controller although the strong infrared light has to be generated.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© Springer International Publishing Switzerland 2015. Absorption, scattering, and color distortion are three major issues in underwater optical imaging. In this paper, we propose a novel underwater imaging model that compensates for the attenuation discrepancy along the propagation path. In addition, we develop a fast weighted guided filtering algorithm for enhancing underwater optical transmission map. The final enhanced images are characterized by a reduced noised level, better exposure in dark regions, and improved global contrast, by which the finest details and edges are enhanced significantly. Our experiments show that with the use of our proposed algorithm, the peak signal-to-noise ratio is improved by at least 2 dB compared to existing state-of-the-art methods. The structural similarity index is improved by about 0.01.

DOI： 10.1007/978-3-319-21969-1_12

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

We propose a novel power supply circuit that can make a standby power consumption of an infrared remote (IR) controlled product completely zero. Our proposal is a hybrid power supply circuit combining the energy harvesting and conventional power supply structure. The IR controlled product employing our proposal has no pass of electric current in the standby mode. It is activated by the electromotive force that infrared photodiodes generate by receiving the infrared light from the remote controller. The activated product acts normally using the conventional power supply rail. These activation and control to the product are uniformly handled by a single remote controller. Although the conventional power circuit consumes the adequate standby power to be activated by the IR controller, our power circuit has actually achieved the zero standby power consumption of the IR controlled product and activated the electronic product by only electromotive force of photodiodes.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

© Springer International Publishing Switzerland 2015. Today, the problem that invasive alien species threaten the local speciesis seriously happening on this planet. This happening will lost the biodiversity ofthe world. Therefore, in this paper, we propose an approach to identify and exterminatea specialized invasive alien fish species, the black bass. We combined theboosting method and statical texture analysis method for this destination. AdaBoostis used for fish detection, and the co-occurrence matrix is used for specified speciesidentification. We catch the body texture pattern after finding the fish-like creature,and make a judgement based on several statistical evaluation parameter comes fromco-occurrence matrix. Simulation result shows a reasonable possibility for identifya black bass from other fish species.

DOI： 10.1007/978-3-319-10389-1_8

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記述言語：英語   掲載種別：研究論文（学術雑誌）

The B-spline curve is often used as a method to draw an arbitrary curve like a handwritten figure. However, it is difficult to operate the position of the control points for the faithful drawing. In addition, to arrange the control points by hand, a lot of experiences are needed. In this study, the concept of S-System, which is one of the extended models of Genetic Programming, is utilized for the generation of the B-spline curve. The purpose in this study is to reproduce an arbitrary curve faithfully by using a less control points and to arrange the control points automatically. The detailed procedure is as follows. The several points on the curve are selected and it is regarded as the chromosome. The crossover is practiced between two chromosomes. For the validity of this strategy, B-spline curve similar to handwritten curve is reproduced by using a less control points, and they are arranged automatically.

DOI： 10.12792/jjiiae.003.02.03

CiNii Article

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In recent years, the smart devices equipped with imaging functions are widely spreading for consumer application. It is very convenient for people to record information using these devices. For example, people can photo one page of a book in a library or they can capture an interesting piece of news on the bulletin board when walking on the street. But sometimes, one shot full area image cannot give a sufficient resolution for OCR soft or for human visual recognition. Therefore, people would prefer to take several partial character images of a readable size and then stitch them together in an efficient way. In this study, we propose a print document acquisition method using a device with a video camera. A one-dimensional histogram based self-calibration algorithm is developed for calibration. Because the calculation cost is low, it can be installed on a smartphone. The simulation result shows that the calibration and stitching are well performed. © 2014 Lifeng Zhang et al.

DOI： 10.1155/2014/313452

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2014 SPIE. In most cases of the generation of computer-generated hologram, a zero-valued dummy area is usually added to the desired object in order to avoid the disturbance of high order reconstruction. The high order reconstruction not only disturbs the zero order reconstruction but also decreases the zero order reconstruction diffraction efficiency. In this study, we show a method to improve the zero order reconstruction diffraction efficiency by using a finite dummy area. According to the structure of a general computer-generated hologram, that is each calculated computer-generated hologram point has the same square size, then the high order reconstruction is the product of the zero order reconstruction and a sampling function with a scale factor. We use computer simulation to show the effect of dummy area in the improvement of the zero order reconstruction diffraction efficiency. According to our simulation results, we find that the zero order reconstruction diffraction efficiency increases as increasing the size of dummy area. In addition, we also find that the on-axis reconstruction has a higher reconstruction diffraction efficiency that the off-axis ones.

DOI： 10.1117/12.2071764

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

© 2014 SPIE. A new method is suggested to transform a Gaussian laser beam to a Top-hat distribution using a kinoform. An iterative dummy area method is used to uniform the distribution in the top region of the Top-hat distribution for the design of the kinoform. Simulation results show that a plane-wave-neared Top-hat distribution can be obtained. In addition, the quality dependence of Top-hat distribution is also simulated on the relationship between the Gaussian radius and the size of the kinoform.

DOI： 10.1117/12.2071171

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Road traffic signals of LED type and filament bulb type are now available. Especially, LED road traffic signal is beginning to be officially available everywhere, though the initial investment of LED road traffic signal is more expensive compared to a conventional signal using filament bulbs. However, there are some problems to be solved, respectively. In the road traffic signal using filament bulb, the pseudo-lighting phenomenon occurs when in the morning and evening sun altitude is low. On the other hand, die LED road traffic signal is difficult to reduce problems such as washout phenomenon. In this paper, by inserting the multi-eye lens unit and a light-shielding film in between the colored filter and reflector, we proposed a traffic signal which has no risk of pseudo-lighting and we have proposed reduction of washout phenomenon of LED signal head by using the LED element 192 and low-reflection black plate on a blank area between the elements. We report the development of a road traffic signals reducing the pseudo lighting phenomenon occurring in the bulb type and reducing the washout occurring in the LED type. ©2014 International Information Institute.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, camera based distance measurement has been used in many fields, especially for home entertainment and medical care area due to the elderly society. Stereo camera and RGD-D camera are well-used devices for such a destination. In this paper we proposed a modified Phase-Only-Correlation (POC) method for distance measurement by using a home use 3D camera. Stereo image measurements is a passive method, which acquires the object as two images, and then calculate the distance information from these two images according to the principle of triangulation. Different from a measurement dedicated stereo camera, a home use 3D camera cannot satisfies with a high precise installation to keeping a parallel optical axes, fixed depth of focus and so on. In this paper, we make some modification and new matching template data construction manner for POC method to resolve such a disadvantage. The simulation shows a good result © 2014 International Information Institute.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Image matting or image feathering is an important tool in natural image processing. In this paper we propose a novel guided alpha image filter for image feathering. Deferent from the traditional algorithms, the guided imaged filter computes the filtering result by considering the content of a referenced depth image. The guided alpha image filter can be used as an edge-preserving smoothing operator like bilateral filter, but has better behaviors near edges. Furthermore, the proposed algorithm by using nonlocal neighborhoods, and contribute a simple and fast algorithm giving competitive results. Experimental results indicate that our feathering results are comparable to the state of the art methods. ©2014 International Information Institute.

Scopus

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記述言語：日本語   掲載種別：記事・総説・解説・論説等（大学・研究所紀要）

DOI： 10.1109/IS3C.2014.5

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In this paper, we describe a novel image preprocessing pipeline for removing underwater sonar image noise, enhancing the structure of sonar images, and fusing the different sonar images, in the curvelet domain. Side-scan sonar acquires high quality imagery of the seafloor with very high spatial resolution but poor locational accuracy. On the other hand, multi-beam sonar obtains high precision position and underwater depth in seafloor points. In order to fully utilize all information of these two types of sonars, it is necessary to fuse the two kinds of sonar data. This paper gives curvelet transform for enhancing the signals or details in different scales separately. It also proposes a new intensity sonar image fusion method, which is based on curvelet transform. The experimental results show that the method can be used in the flat seafloor or the isotropic seabed. Compared with wavelet transform method, this method can get better performance. © 2014 International Information Institute.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Currently, in museums and galleries, parametric loudspeakers are useful that can be heard in a local place as description guide. Parametric loudspeakers have high directivity, so multiple announcements are possible that can coexist with limited space. However, conventional parametric loudspeakers have the problem that the sound maybe be heard at unexpected places because of the reflection of ultrasonic wave by walls and people. Therefore, the location and direction of parametric loudspeakers must be limited. In this paper, we propose a local audible sound generation system using ultrasound. This system generates an aimed audible tone at a local space using the intersection of ultrasound. Thus, it Can prevent the generation of audible sound by reflection at unexpected places and the sound is audible at expected local places. ©2014 International Information Institute.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Safety light curtains reliably and cost-effectively protect against access into hazardous areas. However, in practice, they need to adjust the light detection element accurately in order to receive the irradiating laser light. In this system, we utilize light-emitting diodes (LEDs) as light source, and design two hemispherical mirrors to receive the LED light. The proposed system is freely configurable, and with no dead zone detection. In addition, compared with the laser light source, the LED light has the advantages of no radiation, small electroplate. Compared with recent market products, our system has the benefits of low-cost, simple configuration, low radiation, and high efficiency. During abundant experiments, our system succeeds in detecting the intruder with 100% recognition rate. © 2014 ISSN 1881-803X.

Scopus

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記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

Electronic products using the touchscreen tend to increase. But it is difficult for elderly people who are unfamiliar with the touchscreen to operate the electronic products employing the touchscreen. In addition, cannot recognize the buttons on the touchscreen. In this study, we are aiming to realize a touchscreen that can give a sense of the button's location and click by a simple mechanism. The proposed touchscreen consists of a switch underneath the LCD module with a touchscreen and plates with an identification number at the top of the LCD module. When the touchscreen is pushed, the switch underneath the LCD module is also pressed. Thus, the user can get certain click feeling by the switch. For the plate put on the top of the LCD module, the places where icons are displayed in the touchscreen are hollowed out. Therefore, the edges around the buttons on the hollowed part give the user's finger unevenness. That is, the position and boundaries of the icons can be recognized by the finger. In addition, since the type of the plate can be determined by the ID, we can provide a variety of button arrangement according to the plate used. To evaluate the click feeling and the operability, we develop a prototype system and measure the operation error and send out the questionnaires to some testees. The measured result shows that the miss ratio of key input is less than that of a traditional touchscreen. Also, the result of questionnaires indicates that our touchscreen is easier to manipulate than the conventional one.

DOI： 10.12792/jjiiae.002.02.005

CiNii Article

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担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

Currently, unexploded ordnances have been still buried in the ground. It is important to detect and remove them. Although the devices to detect them exist, it causes fault detection if there exist a building near unexploded ordnance. To solve the problem, a magnetic device with plural differential outputs has been developed. In this method, the influence of magnetic field generated from building is reduced. However, if the magnetic field from the area is strong, the detection is sometimes failed. In addition, it is sometimes difficult to detect unexploded ordnances if the size changed. To solve these problems, a method using differential outputs and DOG filtering is proposed in this study. By the use of DOD and DOG functions, the location of unexploded ordnance is specified easily. Even if magnetic field from building is strong and the size of the unexploded ordnance is different, it is detected correctly. These are confirmed by the simulation.

DOI： 10.12792/jjiiae.002.02.001

CiNii Article

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, many electronic products are employing a touchscreen as the user interface. This trend puts visually impaired persons into a difficult situation operating such products more and more. To tackle that situation, we have proposed a supporting system to operate a capacitive touchscreen. In the proposed system, the user attaches an image sensor to the middle finger and wears an earphone. The icons displayed on the touchscreen are replaced to the color barcodes. When the user traces the touchscreen by the middle finger with the image sensor, the color barcodes are detected and then the speech guidance is generated via the earphone. By hearing the speech guidance, the user pushes the icons by the forefinger to operate the electronic product. This paper develops an image processing flow to detect the color barcode from the blurred image captured by the image sensor close to the surface of the touchscreen. In the experiments, we confirm the accuracy of the fixed point program against the floating point program, and how to construct the color barcode with several colored bars. Then, we evaluate the accuracy and performance of our image processing flow for detecting the color barcodes.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Medical image segmentation is an important research topic in recent years. In this paper, we propose a new model based on active contours model to detect object edges in a given medical image, in order to facilitate people to focus the region of interest. The proposed model is based on piecewise constant and piecewise smooths Chan-Vese Model. We accelerate the traditional CV model by using semi-implicit additive operator splitting (AOS) scheme. Different from traditional models, our model uses the level set which is corresponding to ordinary differential equation (ODE), which can speed up the computation complexity. Our model has more improved characteristics than traditional models, We also validate the proposed model by numerical synthetic and real images. The experimental results demonstrate that our model is at least two times more efficient than the state of the art methods. © 2013 ISSN 2185-2766.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Underwater laser image is seriously contaminated by speckle noise which is due to the coherent nature of the scattering effect. We describe a statistical speckle suppression method for removing underwater image noise, based on the decomposed contourlet coefficients. This method utilizes Bayesian Contourlet Estimator of Bessel K Form (BCE-BKF) probability density function (PDF) to model neighborhood contourlet coefficients. After that, according to the proposed PDF model, we design a maximum a posteriori (MAP) estimator, which relies on a Bayesian statistics representation for the contourlet coefficients of noisy images. There are three obvious virtues of this method. Firstly, contourlet transform decomposition is prior to curvelet transform and wavelet transform by using ellipse sampling grid. Secondly, BCE-BKF model is more effective in presentation of the noisy image contourlet coefficients. Thirdly, the BCE-BKF model takes full account of the correlation between coefficients. Some comparisons with the best available results will be present in order to illustrate the effectiveness of the proposed method. © 2013 ISSN 2185-2766.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In recent years, the smartphone equipped with an imaging device is widely spread. It is very convenient for people to catch information around them. For example, copy one page of a book in a library occasionally, or catch an interesting news on the Bulletin board someday. However, such a device has a low resolution that cannot give an enough resolution for OCR soft or for human visual recognition if take the full page in one shot. Therefore, naturally, people will partially take character images with a readable size and then expect to stitching them together in an efficient way. In this study, we proposed a calibration method for partial document image acquired by Web camera. It is developed as a part of video camera scan document acquisition system. It uses one dimensional histogram as main algorithm. And the calculation cost is low so that can be installed on a smartphone. The simulation result shows the effect is good. © 2013 ICIC International.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In this paper, we make some improvements to the dark channel dehazing. The dark channel prior is simple but effective for image dehazing. Our approach is based on the dark channel prior. We use another matting method - Learning Based Digital matting instead of the Closed-Form matting method. For this, we can solve the edge effect of the old approach and make a good result. © 2013 ICIC International.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Recently, many electronic products are employing a touchscreen as the user interface. This trend puts visually impaired persons into a difficult situation operating such products more and more. To tackle that situation, we have proposed a supporting system to operate a capacitive touchscreen. In the proposed system, the user attaches an image sensor to the middle finger and wears an earphone. The icons displayed on the touchscreen are replaced to the color barcodes. When the user traces the touchscreen by the middle finger with the image sensor, the color barcodes are detected and then the speech guidance is generated via the earphone. By hearing the speech guidance, the user pushes the icons by the forefinger to operate the electronic product. This paper develops a processing flow to detect the color barcode from the blurred image captured by the image sensor close to the surface of the touchscreen. In the experiments, we confirm how to construct the color barcode with several colored bars. Then, we evaluate the accuracy and performance of our processing flow.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

As a novel of multi-resolution analysis tool, the modified sharp frequency localized contourlet transforms (MSFLCT) provides flexible multiresolution, anisotropy, and directional expansion for medical images. In this paper, we proposed a new fusion rule for multimodal medical images based on MSFLCT. The multimodal medical images are decomposed by MSFLCT. For the high-pass subband, the weighted sum modified laplacian (WSML) method is used for choose the high frequency coefficients. For the lowpass subband, the maximum local energy (MLE) method is combined with region idea for low frequency coefficient selection. The final fusion image is obtained by applying inverse MSFLCT to fused lowpass and highpass subbands. Abundant experiments have been made on groups of multimodality datasets, both human visual and quantitative analysis show that the new strategy for attaining image fusion with satisfactory performance. © 2013 Springer-Verlag Berlin Heidelberg.

DOI： 10.1007/978-3-642-32172-6-17

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Texture analysis is a very important area in the field of computer vision and related fields. There are a good number of databases developed by different research groups for various texture analysis, in the field of medical analysis, robotics, recognition, analysis, image processing, etc. However, till-to-date, there is no comprehensive works covering the important databases and analyze these in various perspectives. In this paper, we consider this important task so that it becomes helpful for a researcher to choose and evaluate having crucial evaluating aspects in mind. We categorize and critically survey based on many references of the state-of-the-art related to the databases and other texture works. We strongly believe that this elegant survey will be a great contribution for the vision community, especially in the arena of texture analysis. © 2013 Elsevier B.V. All rights reserved.

DOI： 10.1016/j.patrec.2013.02.009

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Remote robotic exploration holds vast potential for gaining knowledge about extreme environments accessible to humans only with great difficulty. In the last two decades, various underwater devices were developed for detecting the mines and mine-like objects in the deep-sea environment. However, there are some problems in recent equipment, such as poor accuracy of mineral objects detection, without real-time processing, and low resolution of underwater images. The underwater objects recognition is a difficult task, because the physical properties of the medium, the captured images are distorted seriously by scattering, absorption and noise effects. Scattering is caused by large suspended particles, such as in turbid water, which contains abundant particles, algae, and dissolved organic compounds. Colour change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Furthermore, in the imaging plane, there always contains noise that caused by algae or organic particulates. To solve all of these problems, in this paper, we are considering utilizing the image processing methods to determine the mineral location and to recognize the mineral actually within a little processing time. We firstly analysis the recent underwater imaging models, and propose a novel underwater optical imaging model, which is much closer to the light propagation model in the underwater environment. In our imaging system, we remove the electrical noise by dual-tree complex wavelet transform. Then, solving the non-uniform illumination of artificial lights by fast guided trilateral bilateral filter and recovering the image colour through automatic colour equalization. Finally, a shape-based mineral recognition algorithm is proposed for underwater objects detection. These methods are designed for real-time execution on limited-memory platforms, and are suitable for detecting underwater objects in practice. The Initial results are presented and experiments demonstrate the effectiveness of the proposed imaging system.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In this paper, we describe a novel method of image denoising in natural images, based on a statistical model of the contourlet coefficients. During our research, the decomposed contourlet coefficients of natural images are obey non-Gaussian distribution, so we develop a non-Gaussian toward algorithm, which is named non-Gaussian multivariate shrinkage (NGMS) to model neighborhood contourlet coefficients. Then, according to the proposed probability density function PDF model, a maximum a posteriori MAP estimator is proposed, which relies on a Bayesian statistics representation for the contourlet coefficients of noisy images. Results obtained show significant improvement in the fidelity of the restored images. ©2013 International Information Institute.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

This paper describes a novel method to enhance underwater images by dehazing and colorization. Scattering and color change are two major problems of distortion for underwater imaging. Scattering is caused by large suspended particles, like fog or turbid water. Color change corresponds to the varying degrees of attenuation encountered by light traveling in the water with different wavelengths, rendering ambient underwater environments dominated by a bluish tone. Our key contribution is to propose a single image dehazing algorithm, to compensate the attenuation discrepancy along the propagation path, and to take the influence of the possible presence of an artificial lighting source into consideration. Next, the water depth in the image scene is estimated. A simple colorization method is utilized for restore color balance. The enhanced images are characterized by reduced noised level, better exposedness of the dark regions, improved global contrast while the finest details and edges are enhanced significantly. In addition, our enhancement method is comparable to higher quality than the state of the art methods. © 2012 Praise Worthy Prize S.r.l.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Speckle noise is a serious problem in the reconstruction of computer-generated holograms (CGHs). Especially for a kinoform (a phase-only CGH), the speckles lead to a large reconstruction error and it is important to eliminate the speckles. The speckles are caused by the isolated zero points in the reconstruction of a CGH, so the speckles can be avoided if there are no isolated zero points. In this study, we suggest a new method that restricts the existence range of the phase differences between the sampled points of reconstruction. The phase differences have the range of two times the phase period and we restrict them into half of the phase period after wrapping the phase differences. This strategy can successfully avoid the existence of isolated zero points so that speckles can be eliminated. The phase difference constraint process can be incorporated into the general iterative algorithms for the optimization of a kinoform. Speckleless reconstruction can be obtained after a sufficient number of iterations and the also the kinoform conditions are satisfied (i.e., the kinoform amplitude uniform condition and its phase quantization). In addition, this speckleless reconstruction has noise immune when the reconstruction phase noise is under a quarter of phase period. We will show some simulation results to show the effect of the iterative phase difference constraint method for the speckle elimination of kinoforms in our presentation. © 2012 SPIE.

DOI： 10.1117/12.999754

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

The iterative stepwise quantization method can reduce the quantization error of low-quantized kinoforms much with few calculation time. We suggest an iterative partial quantization method to improve the performance of the conventional iterative stepwise quantization method. The iterative partial quantization method uses the same process of stepwise quantization but only partial points of kinoform phase are quantized. This partial quantization gives a relaxation of kinoform phase constraint to overcome the stagnation in the Fourier repetition. The conventional iterative stepwise quantization process is performed after the iterative partial quantization and the reconstruction error caused by phase quantization can be reduced. © 2012 SPIE.

DOI： 10.1117/12.999402

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

This paper presents an image fusion method suitable for Multispectral remote sensing image fusion, based on multi-resolution analysis in remote sensing system. This method dedicates to fuse multispectral low- resolution remotely sensed images with a more highly resolved panchromatic image. The high-resolution regions of each remotely sensed image coefficients are extracted by beyond wavelet transform (BWT). BWT is a multi-resolution analysis, whose basis functions are directional edges with progressively increasing resolution. The advantage of BWT is well adapted to cured- singularities and point-singularities. There are two obvious virtues of this method. First directional detail coefficients matching image edges, which is better than obtained in separable wavelet domain. Secondly, selection strategy of maximum local energy (MLE) between low-frequency coefficients is more effective. Experiments have proved that the MLE is a new way for remotely sensed image fusion, which can get well performance. Fusion results in beyond wavelet transform are also compared.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

The benefits of multisensor fusion have motivated research in this area in recent years. Redundant fusion methods are used to enhance fusion system capability and reliability. The benefits of beyond wavelets have also prompted scholars to conduct research in this field. In this paper, we propose the maximum local energy method to calculate the low-frequency coefficients of images and compare the results with those of different beyond wavelets. An image fusion step was performed as follows: first, we obtained the coefficients of two different types of images through beyond wavelet transform. Second, we selected the low-frequency coefficients by maximum local energy and obtaining the high-frequency coefficients using the sum modified Laplacian method. Finally, the fused image was obtained by performing an inverse beyond wavelet transform. In addition to human vision analysis, the images were also compared through quantitative analysis. Three types of images (multifocus, multimodal medical, and remote sensing images) were used in the experiments to compare the results among the beyond wavelets. The numerical experiments reveal that maximum local energy is a new strategy for attaining image fusion with satisfactory performance. © 2011 Elsevier Ltd. All rights reserved.

DOI： 10.1016/j.camwa.2012.03.017

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

We describe a method for removing normal image noise based on a statistical model of the decomposed curvelet coefficients. This method proposes an anisotropic multivariate shrinkage (AMS) probability density function (PDF) to model neighborhood curvelet coefficients. Then, according to the proposed PDF model, we design a maximum a posteriori (MAP) estimator, which relies on a Bayesian statistics representation for the curvelet coefficients of images. There are three obvious virtues of this method. Firstly, curvelet transform decomposition is prior to wavelet transform by using multi-directional filter banks. Secondly, anisotropic multivariate shrinkage model is more effective in presentation of the curvelet coefficients of image. Thirdly, the proposed model can remove non-Gaussian noise very well by using multivariate shrinkage method. Some comparisons with the best available results are presented in order to illustrate the effectiveness of the proposed method. © 2012 ICIC International.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

This work proposes a new method for generating B-spline curves for the presentation of handwritten figures. The Polytope method is used to quickly determine the passing points of the B-spline curve. The generation of a single stroke included in a handwritten figure requires less than 100 [ms]. The mean number of passing points in a figure is approximately 6. Because this method has low data and time requirements for determining passing points, it can be used for sending handwritten figures via E-mails. © 2012 ICIC International.

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In recent years, as the bandelets transform has some benefits, many scholars interest in this field. They proposed many methods to solve different problems in different fields. In this paper, we propose a new method maximum local energy method to calculate the low coefficients of images. And then adopt the absolute maximum method to select the high coefficients of images. Later, we compare the results with wedgelets transform and wavelet transform. Beside the human vision, we also compare the results by quantitative analysis. In our experiments, we take wedgelet transform and bandelets transform for comparing the results. The numerical experiments explain that the maximum local energy is an effect way for image fusion, which can get well performance. © 2012 Springer-Verlag GmbH.

DOI： 10.1007/978-3-642-27311-7_78

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Nowadays, digital imaging device has become a popular item of our daily life. Even a cell phone can gives a high density image. People can enjoy taking a photo at anytime and anywhere, but such a mechanically simplified imaging device usually cannot mount an optical lens filter. Therefore the digital filtering effect is needed. Many image effect filters have been released by image processing soft maker or digital camera manufacture, but most of them were made just for funny, the resulting image is unnatural. This research focuses on the digital filtering effect, and it is realized according to a real optical lens imaging system. In this work, we prepared several optical filter lenses, and take photos with or without using them. Assuming the photo without using a filter is the real object, and then the photo using the filter is the observed filtering image, the digital filter can be derived by a division theoretically. Using these digital filters, the resulting filtering images are gotten. From these result, we find that some of the filtering effect is good, but some of the effects were not enough. Therefore, assuming the cause of these problems from the experimental results, show the direction for future research such as improving experiment approach or adopting nonlinear algorithms is also attempt.

DOI： 10.4028/www.scientific.net/AMM.103.673

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Digital X/γ-ray imaging technology has been widely used to help people deliver effective and reliable security in airports, train stations, and public buildings. Nowadays, luggage inspection system with digital radiographic/computed tomography (DR/CT) represents a most advanced nondestructive inspection technology in aviation system, which is capable of automatically discerning interesting regions in the luggage objects with CT subsystem. In this paper, we propose a new model for active contours to detect luggage objects in the system, in order to facilitate people to identify the things in luggage. The proposed method is based on techniques of piecewise constant and piecewise smooths Chan-Vese Model, semi-implicit additive operator splitting (AOS) scheme for image segmentation. Different from traditional models, the fast implicit level set scheme (FILS) is ordinary differential equation (ODE). Characterized by no need of any pre-information of topology of images and efficient segmentation of images with complex topology, the FILS scheme is fast more than traditional level set scheme 30 times. At the same time, it performs well in image segmentation of DR images in our experiments.

DOI： 10.4028/www.scientific.net/AMM.103.705

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Texture surface analysis is very important for machine vision system. We explore Gray Level Co-occurrence Matrix-based 2 nd order statistical features to understand image texture surface. We employed several features on our ground-truth dataset to understand its nature; and later employed it in a building dataset. Based on our experimental results, we can conclude that these image features can be useful for texture analysis and related fields.

DOI： 10.4028/www.scientific.net/AMM.103.717

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In this paper, we present various databases of textures. We know that texture analysis has various applications in the field of computer vision and image processing. This paper summarizes and analyzes key databases and categorize them. A good number of databases are developed by different research groups for various texture analysis, in the field of medical analysis, robotics, recognition, analysis, image processing, etc. To our knowledge, there is no paper that covers various texture databases. Hence, we feel that this paper will be useful for related researchers. © 2012 SICE.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

People living in the information age, are more and more attention to their own lives. It is also said, social life is more important in present and future. The social life contains three fields. In this paper, we will propose a new method for adjunctive therapy in social life. Recent years, as the bandelets transform has some benefits, many scholars are interested in this field. They proposed many methods to solve different problems in different fields. In this paper, we propose a new maximum local energy method to calculate the low coefficients of images. And then adopt the sum modified laplacian method to select the high coefficients of images. Later, we compare the results with wedgelets transform. In our experiments, we take wedgelets transform, bandelets transform, and LE-wedgelets transform for comparing the results. Beside the human vision, we also compare the results by quantitative analysis. The numerical experiments state clearly that the maximum local energy is an effect way for image fusion, which can get well performance in visual effect and quantitative analysis. During 100 clinic CT/MR fusion experiments in practice, compare with previous methods, the PSNR of our method is improved respectively 5.836, 5.337, 0.035.

DOI： 10.4028/www.scientific.net/AMM.103.700

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In the field of computer vision and image processing, analysis and classification of texture images have various crucial applications. However, a detailed survey on how to extract and from which method features can be extracted is necessary. In this paper, we survey key approaches of features for texture analysis. We hope that this paper will be useful for a reader who has interest texture analysis. © 2012 SICE.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

People living in the information age, are more and more attention to their lives. It is also said, social life is more important in present and future. The social life contains three fields. In this paper, we propose a new model for active contours to detect objects in a given medical image, in order to facilitate people to have medical treatment. The proposed method is based on techniques of piecewise constant and piecewise smooths Chan-Vese Model, semi-implicit additive operator splitting (AOS) scheme for image segmentation. Different from traditional models, our model uses the level set which are corresponding to ordinary differential equation (ODE). Our model has more improved characteristics than traditional models, such as: less sensibility of noise; unnecessary of re-initialization and high speed by the simplified ordinary differential function. Finally, we validate the proposed model by numerical synthetic and real images. The experimental results demonstrate that our model is at least two times more efficient than the widely used methods.

DOI： 10.4028/www.scientific.net/AMM.103.695

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

In order to resolve the problem of recognizing blood cancer cells accurately and effectively, an identifying and classifying algorithm was proposed using grey level and color space. After image processing, blood cells images were gained by using denoising, smoothness, image erosion and so on. After that, we use granularity analysis method and morphology to recognize the blood cells. And then, calculate four characterizes of each cell, which is, area, roundness, rectangle factor and elongation, to analysis the cells. Finally, we segment the cell images by the method of entropy of one-dimension histogram. Moreover, we also applied the chromatic features to recognize the blood cancer cells. The algorithm was testified in many clinical collected cases of blood cells images. The results proved that the algorithm was valid and efficient in recognizing blood cancer cells and had relatively high accurate rates on identification and classification. Experimental results also demonstrate the effectiveness of this method for extracting precise, continuous edges with limited human intervention, especially for images with neighboring or overlapping blood cells. © 2011 Binary Information Press December, 2011.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Although industrial robot has been developed well from the end of the last century, and has been well used in various fields, robotics is still being actively researched in Japan now. Chasing after national research institute, the educational institution and robot manufacturer also cost a lot of resource to develop a new generation robot. Moreover, the society gives a high expectation to robot. To provide a low price robot that can be widely used in home, in medical treatment, in welfare, and in disaster relief, etc., a high function, low cost module that can be easy exchanged for maintenance is very necessary. To achieve this aim, it is undesirable to develop the robot based on an original standard in the research institute, in the educational institution, and in the robot manufacturer, etc. separately. Therefore, a common standard in the robotic development needs to be established, and develop the robot based on the common standard. In this research, a new concept for next generation robot development is proposed. This concept contributes a higher intelligence to module, a lower manufacture cost and an easy exchange operation. © 2011 ISAROB.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Although industrial robots have developed considerably since the end of the last century, and have been used in various fields, robotics is still being actively researched in Japan. Following the work of national research institutes and educational institutions, robot manufacturers have also put considerable resources into developing a new generation of robots. Moreover, society in general has high expectations of robots. To provide a low-price robot that can be widely used in the home, in medical treatments, in welfare, and in disaster relief, etc., a high-function, low-cost module that can easily be exchanged for maintenance or repair is very necessary. To achieve this aim, it is undesirable to develop robots based on different original standards from research institutes, educational institutions, and robot manufacturers, etc. Therefore, a common standard in robotic development needs to be established, and robots must be developed based on that standard. In this research, a new concept for the next generation of robot development is proposed. This concept includes a high-intelligence module, lower manufacturing costs, and an easy exchange operation. © 2011 International Symposium on Artificial Life and Robotics (ISAROB).

DOI： 10.1007/s10015-011-0910-3

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Recently, various remote controllers are developed. However the operation of remote controller is very difficult for the physically handicapped persons who cannot move their hand. The wearable multiremote controller we are proposing uses head tracking via a camera and a head-mounted display. It is portable and can operate household appliances. It is also operated intuitively in head tracking.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

別府   2011年01月29日  -  2011年01月29日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

We show a generic describing method of hardware including a memory access controller in a C-based high-level synthesis technology (Handel-C). In this method, a prefetching mechanism to improve the performance by hiding memory access latency can be systematically described in C language. We demonstrate that the proposed method is very simple and easy through a case study. The experimental result shows that although the proposed method introduces a little hardware overhead, it can improve the performance significantly.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

岡山   2010年12月09日  -  2010年12月09日

記述言語：英語   掲載種別：研究論文（学術雑誌）

Kyutacar

記述言語：英語   掲載種別：研究論文（学術雑誌）

Kyutacar

記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, measuring instruments that automatically record measurement values by using the communication function of PC and RS232C have been widely used. However, there are a lot of measuring instruments that cannot communicate with an external instrument at present. Also, the ones that have the communication function are very expensive. The system that reads the instruction value from the image is by taking a picture of the measuring instrument with a camera. However, because the specification of the target measuring instrument has been limited, versatility of this system is low. Therefore, this paper proposes a strong numerical recognition system that doesn't depend on the model of a digital measuring instrument. The experiments showed that the proposed method has the characteristics of fast speed, efficiency and strong anti-interference. © 2010 Binary Information Press.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Combining robots with many sensor nodes on the sensor network is important to improve the home security. From view of the cost of such system, it is desired that each sensor node is very cheap. The three events to the window and the key occurring when a thief attempts to intrude into the house are detected by the different sensors conventionally. This paper proposes a method detecting the three events by using the simple light-sensor consisting of an infrared LED and a photodiode. In the experiments, the light sensor shows the characteristic tendencies that can detect each event. This fact indicates that our proposal can realize a sensor node more efficiently instead of using different sensors. © 2010 ISAROB.

Scopus

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記述言語：英語   掲載種別：研究論文（学術雑誌）

Image fusion method based on multiscale transform (MST) is a popular choice in recent research. Sharp frequency localized contourlet transform (SFLCT) that significantly outperform the original contourlet transform is proposed. Commonly, the upsamplers and the downsamplers presented in directional filter banks of SFLCT make the resulting image not shift-invariant and easily cause the pseudo-Gibbs phenomena. In order to suppress the pseudo-Gibbs phenomena, we apply cycle spinning as compensation. Then, the coefficients of shifted images are calculated. We take the following image fusion rules. First, cycle spinning the source images, the shifted images are obtained. Second, selecting the low-frequency coefficients by the local energy method and calculating the high-frequency coefficients by the sum modified Laplacian (SML), and the coefficients fusion follows. Third, applying the inverse SFLCT and the inverse cycle-spinning sequentially, the image is reconstructed. Numerical experiment results show that the proposed method significantly outperform the wavelet transform, the pyramid transform and the curvelet transform both in visual quality and in quantitative analysis. © 2010 Binary Information Press.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

In order to resolve the problem of recognizing blood cancer cells accurately and effectively, an identifying and classifying algorithm was proposed using grey level and color space. After image processing, blood cells images were gained by using denoising, smoothness, image erosion and so on. After that, we use granularity analysis method and morphology to recognize the blood cells. And then, calculate four characterizes of each cell, which is, area, roundness, rectangle factor and elongation, to analysis the cells. Moreover, we also applied the chromatic features to recognize the blood cancer cells. The algorithm was testified in 100 clinical collected cases of blood cells images. The results proved that the algorithm was valid and efficient in recognizing blood cancer cells and had relatively high accurate rates on identification and classification.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Patients sometimes forget to take medicine. It may make recovery of patients slow down. In this study, we propose a new robot supporting to take medicines on time using medicine sensors and a chewing sensor. When medicines are put into medicine sensor, the electric capacity of the medicine sensor will be changed. According to the value of capacity of the sensor, this robot can easily judge whether medicines are in the medicine box or not. The chewing sensor is made up of an ear wearing device and a unit which consists of a photodiode and an infrared LED. The infrared rays from the infrared LED irradiate a mandible. Using reflected light received by the photodiode, the chewing sensor can judge whether foods have been taken or not. By using the medicine sensors and the chewing sensor, the robot can bring the user medicines on time and have following function. If medicines are not taken at time to take medicines, the robot announces to the user. In case of medicines taken before meals, the robot warns the user to take medicines if the user is chewing before taking medicines. © 2010 ISAROB.

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Sensors that detect the distance and the position of an object are used in a lot of fields. Among of them, the sensors that measure the shift value of an object are a large scale system, furthermore, an accurate mounting of these sensors is required. To solve these problems, this paper proposes an optical linear sensor using one-side frosted glass. This sensor can detect the position of the light irradiation point only by putting it directly on the target. For a parallel light, it is irrelevant to the distance between this sensor and the source of light because the size of light beam is unchanged according to the distance. This sensor assumes that the sensor's surface irradiated roughly vertical with the light, and does not need a high accurate mounting. Therefore, it can be easily used. © (2010) Trans Tech Publications, Switzerland.

DOI： 10.4028/www.scientific.net/AMM.36.370

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Amerika   Hawaii   2010年11月03日  -  2010年11月03日

DOI： 10.1109/ICSENS.2010.5690554

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Amerika   Hawaii   2010年11月03日  -  2010年11月03日

DOI： 10.1109/ICSENS.2010.5690145

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Amerika   東京   2010年10月29日  -  2010年10月29日

DOI： 10.1109/ISCIT.2010.5665164

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Amerika   東京   2010年10月28日  -  2010年10月28日

DOI： 10.1109/ISCIT.2010.5665049

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

Kyutacar

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.4028/www.scientific.net/AMM.36.422

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.4028/www.scientific.net/AMM.36.387

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.4028/www.scientific.net/AMM.36.381

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.4028/www.scientific.net/AMM.36.376

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.4028/www.scientific.net/AMM.36.365

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, a system using bug-type artificial life was proposed for function discovery, and has been improved further. This system is an extended model of GA and GP. However, when the observation data is very complicated, the function is occasionally not obtained. A new concept is now introduced so that the function search can be applied to complicated observation data. The function search by the S-System is performed two or more times. This is termed search accumulation. To confirm the validity of search accumulation, the Himmelblau function, the valley function, and equal loudness level contours (ISO 226) are used as observation data. Since the distributions of the data are complicated, it is difficult to express them as an approximation function. By the use of the search accumulation strategy, a function that is in good agreement with the distribution can be successfully obtained. Thus, the validity of this strategy is confirmed. Search accumulation is also applicable to GP. © 2010 Wiley Periodicals, Inc.

DOI： 10.1002/ecj.10098

Scopus

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記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.1007/s10015-010-0760-4

Kyutacar

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

France   Nimes   2010年08月24日  -  2010年08月24日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

France   Nimes   2010年08月24日  -  2010年08月24日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Yangzhou   2010年08月21日  -  2010年08月21日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Yangzhou   2010年08月21日  -  2010年08月21日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Yangzhou   2010年08月21日  -  2010年08月21日

記述言語：英語   掲載種別：研究論文（学術雑誌）

Recently, remote controls of electric appliances have become complicated. For people who cannot operate remote controllers easily, a simple to operate one is needed. This paper proposes a wireless remote controller system using a large area optical sensor. When one of the sensors is indicated with a laser pointer, a signal of the remote control is transmitted to the electric appliance. The optical sensor which has a large sensing area can be easily indicated with a laser pointer. However, there is a problem that the cost is high to make an optical sensor with a large area. Therefore, a large area optical sensor consisting of frosted glass was developed. The area of the optical sensor can be enlarged easily by increasing the area of the frosted glass without changing the photodetector. The sensor is low cost and can detect the light pointed to the frosted glass sensitively. © 2010 The Institute of Electrical Engineers of Japan.

DOI： 10.1541/ieejsmas.130.300

Scopus

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記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Dalian   2010年08月13日  -  2010年08月13日

DOI： 10.1109/ICICIP.2010.5564350

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Dalian   2010年08月13日  -  2010年08月13日

DOI： 10.1109/ICICIP.2010.5564346

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Dalian   2010年08月13日  -  2010年08月13日

DOI： 10.1109/ICICIP.2010.5564335

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Australia   Sydney   2010年07月19日  -  2010年07月19日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   Wuhan   2010年06月25日  -  2010年06月25日

DOI： 10.1109/iCECE.2010.49

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

The three events to the window and the key occurring when a thief attempts to intrude into the house are detected by the different sensors conventionally. This paper proposes a method detecting the three events by using the simple light-sensor consisting of an infrared LED and a photodiode. In the experiments, the light sensor shows the different tendencies that can detect each evento This fact indicates that our proposal can realize a sensor module more efficiently instead of using different sensors. © 2010 The Institute of Electrical Engineers of Japan.

Scopus

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記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   福岡   2010年03月23日  -  2010年03月23日

DOI： 10.1007/978-3-642-12165-4-39

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

JAPAN   桐生   2010年03月19日  -  2010年03月19日

DOI： 10.4028/www.scientific.net/AMM.36.360

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2010年03月19日  -  2010年03月19日

記述言語：英語   掲載種別：研究論文（学術雑誌）

A new sensor to detect a smile of a person is proposed in this paper. When a person smiles, the shape of cheeks changes. The change is used for the detection of the smile. The sensor consists of a infrared LED, a photodiode and a few electronic parts. When the sensor detects a smile, at first infrared light is irradiated on a cheek. Then the sensor detects the smile by using the strength of light reflected from the cheek. As a result, the sensor is simple and can detect a smile. © 2010 The Institute of Electrical Engineers of Japan.

DOI： 10.1541/ieejsmas.130.25

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77949365136&origin=inward

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110008107758

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Singapore   別府   2010年02月04日  -  2010年02月04日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Singapore   別府   2010年02月04日  -  2010年02月04日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.1016/j.sbspro.2010.01.032

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.1016/j.sbspro.2010.01.033

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.1016/j.sbspro.2010.01.035

Scopus

記述言語：英語   掲載種別：研究論文（学術雑誌）

DOI： 10.1016/j.sbspro.2010.01.038

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Singapore   Singapore   2009年12月14日  -  2009年12月14日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

An extraction of a specific curve in image has basic problems in intelligent image sensing. The generalized Hough Transform method (GHT) is the representative method to extract arbitrary curves which are rotated and enlarged or reduced. Many the improvement models were also proposed. However, for extraction of arbitrary curves, it takes much processing time and needs much memory space. In addition, it is impossible to apply the GHT to curves including branches. For an improvement of the problems, a new method to extract arbitrary curve using one-dimensional histogram is proposed in this study. The method utilizes the Polytope method which is one of minimization algorithms. For the extraction of curves, one-dimensional histogram is used. The histogram has two characteristics. (1) The distribution of histogram changes if the parameters representing curve changes. (2) The best parameters are gotten, if the value of most frequency of histogram becomes maximum. Therefore, by using the Polytope method, the best parameters are searched so that the value of most frequency can be maximum. Unlike conventional method, the memory space is very small, processing time is very short and curves including branches can be extracted. In addition, this method is effective for an extraction of arbitrary curve with different aspect ratio. ©ISAROB 2009.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78149299828&origin=inward

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Daegu   2009年11月06日  -  2009年11月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Daegu   2009年11月06日  -  2009年11月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Daegu   2009年11月06日  -  2009年11月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Daegu   2009年11月06日  -  2009年11月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2009年10月30日  -  2009年10月30日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2009年10月29日  -  2009年10月29日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2009年10月29日  -  2009年10月29日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2009年10月29日  -  2009年10月29日

DOI： 10.1016/j.sbspro.2010.01.034

Scopus

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   桐生   2009年10月29日  -  2009年10月29日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

U.S.A   Las Vegas   2009年06月13日  -  2009年06月13日

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

大分   2009年02月05日  -  2009年02月05日

主要論文集（会議）

記述言語：英語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

An extraction of a specific figure in image has basic problems in intelligent image sensing. The generalized Hough transform (GHT) is the representative method to extract arbitrary figures which are rotated and enlarged or reduced. Many the improvement models were also proposed. However, for extraction of arbitrary figures, it takes much processing time and needs much memory space. In addition, it is impossible to apply the GHT to figures including branches. For an improvement of the problems, a new method to extract arbitrary figure using one-dimensional histogram is proposed in this study. The method utilizes the Polytope method which is one of minimization algorithms. For the extraction of figures, one-dimensional histogram is used. The histogram has two characteristics. (1) The distribution of histogram changes if the parameters representing figure changes. (2) The best parameters are gotten, if the value of most frequency of histogram becomes maximum. Therefore, by using the Polytope method, the best parameters are searched so that the maximum value of most frequency can be maximum. In comparison with conventional method, it is understood that memory space is very small, processing time is very short and figures including branches can be extracted. In addition, this method is effective for an extraction of arbitrary figure with different aspect ratio.

DOI： 10.1109/ICCAS.2008.4694232

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=58149084091&origin=inward

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Wireless communication is one of the most rapidly growing industries. The high demand for wireless communication services had led to an increase in system capacity. Then most elementary solution would be to increase bandwidth; however, this becomes ever more challenging as the electromagnetic spectrum is becoming increasingly congested. The ever-increasing demand for increased capacity in wireless communications services has led to developments of new technologies that exploit space selectivity. This is done through smart-antenna arrays and the associated adaptive beamforming algorithms. Smart-antenna systems provide opportunities for higher system capacity and improved quality of service among other things In this paper, two non-blind algorithms: Least Mean Square (LMS) and Normalized Least Mean Square (NLMS) algorithms were compared for a robust smart antenna system. It has been found that NLMS performs better in many respects than LMS and so we propose NLMS to be used by mobile companies when they will use smart antenna. Our findings are explained in details in the result and analysis section with graphs. Our comparison and findings were simulated using MATLAB.

DOI： 10.1109/ICCAS.2008.4694679

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=58149085203&origin=inward

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Seoul   2008年10月14日  -  2008年10月14日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

名古屋   2008年09月19日  -  2008年09月19日

主要論文集（会議）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

名古屋   2008年09月19日  -  2008年09月19日

主要論文集（会議）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Sokcho   2007年09月06日  -  2007年09月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   Sokcho   2007年09月06日  -  2007年09月06日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

大分   2007年01月23日  -  2007年01月23日

主要論文集（会議）

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

DOI： 10.11527/jceeek.2007.0.120.0

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130004608936

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2006年08月30日  -  2006年08月30日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2006年01月23日  -  2006年01月23日

主要論文集（会議）

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

DOI： 10.11527/jceeek.2006.0.93.0

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130004608908

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   2005年09月28日  -  2005年10月28日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

Korea   2005年09月28日  -  2005年10月28日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（学術雑誌）

It is not easy to supplement the signal from a sensor with that from the other sensors. In this study, a basic method for signal supplementation is proposed using S-System. The function for signal supplementation is found by the method. The validity is conformed by the use of three sensors. © 2004, The Institute of Electrical Engineers of Japan. All rights reserved.

DOI： 10.1541/ieejsmas.124.152

Scopus

CiNii Article

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85024453701&origin=inward

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

東京   2003年09月30日  -  2003年09月30日

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110001143883

記述言語：日本語   掲載種別：研究論文（学術雑誌）

主要雑誌

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2003年01月15日  -  2003年01月15日

主要論文集（会議）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2003年01月15日  -  2003年01月15日

主要論文集（会議）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   2002年10月15日  -  2002年10月15日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   2002年09月15日  -  2002年09月15日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   2002年09月15日  -  2002年09月15日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

Design of a simple diffuser, in which the absolute value of the phase difference between the diffuser's adjacent samples is constant, is considered. A condition is imposed in the design so that the diffuser is suitable for use with the iterative method based on the iterative Fourier transform algorithm for calculating a two-dimensional complex amplitude function that possesses a bandlimited and smooth spectrum. A method for effectively designing this diffuser is proposed, and its application in the field of digital holography is presented.

DOI： 10.1117/1.1431970

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0036465136&origin=inward

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2002年01月15日  -  2002年01月15日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2001年09月15日  -  2001年09月15日

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2001年02月01日  -  2001年02月01日

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

The 1/f noise generating mechanism is discussed with the diffusion coefficient fluctuation in the base. Results of noise measurements of the phase and amplitude or average current noises and their correlation coefficient in collector current are presented. A possible noise reduction method is suggested, using the correlation between the phase and amplitude fluctuations simultaneously. Also, measurement of the frequency and average current fluctuations along with their correlation coefficient for transistor oscillators is presented. In this case, it is found that both fluctuations correlate with each other at low frequency. A frequency stabilization technique is discussed and a new method to reduce the frequency fluctuation is proposed for an oscillator using the correlation. Published by Elsevier Science Ltd.

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=8744246214&origin=inward

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

2000年01月15日  -  2000年01月15日

記述言語：英語   掲載種別：研究論文（学術雑誌）

担当区分：筆頭著者   記述言語：日本語   掲載種別：研究論文（学術雑誌）

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/10004438189

担当区分：筆頭著者   記述言語：日本語   掲載種別：研究論文（学術雑誌）

DOI： 10.1541/ieejeiss1987.119.4_529

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/130006846015

記述言語：英語   掲載種別：研究論文（学術雑誌）

The frequency and current fluctuations, and their correlation were measured in a phase shift transistor oscillator. The spectra are of 1/f type and both are correlated. A demonstration was carried out to reduce the frequency fluctuation, and a useful method to reduce the fluctuation is proposed in an oscillator. © 1998 IEEE.

DOI： 10.1109/58.646931

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0031699486&origin=inward

記述言語：英語   掲載種別：研究論文（学術雑誌）

We measured the phase and amplitude noises and their correlation coefficient in the collector current. The noise-generating mechanism due to the diffusion coefficient fluctuation in the base is discussed, using the distributed constant circuit model. A possible noise reduction method is proposed, using the correlation between the phase and amplitude noises. © 1998 IEEE.

DOI： 10.1109/82.735363

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0032203755&origin=inward

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   1998年05月15日  -  1998年05月15日

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   1997年07月15日  -  1997年07月15日

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   1996年08月15日  -  1996年08月15日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

担当区分：責任著者   記述言語：日本語   掲載種別：研究論文（研究会，シンポジウム資料等）

画像処理の前処理としてエッジ抽出を行う場合が多い。これを実時間で行うためには、TV回路技術であるエンハンス処理の一部を利用することが考えられるが何らかの改良が必要であろう。将来的にはニューロチップを利用することが考えられる。今回、別の方法として2台のTVカメラを用いた実時間エッジ抽出方法を開発した。

CiNii Article

その他リンク： https://ci.nii.ac.jp/naid/110003339148

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   1993年11月15日  -  1993年11月15日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   1993年08月15日  -  1993年08月15日

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

USA   1992年11月15日  -  1992年11月15日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   1989年11月15日  -  1989年11月15日

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：日本語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（学術雑誌）

記述言語：英語   掲載種別：研究論文（国際会議プロシーディングス）

China   1985年10月15日  -  1985年10月15日

記述言語：英語

記述言語：英語

記述言語：日本語

開催期間： 2019年01月   記述言語：日本語  

CiNii Article

開催期間： 2019年01月   記述言語：日本語  

CiNii Article

開催期間： 2018年01月   記述言語：日本語  

近年，ロボットは多分野で活用されており，今後も市場は拡大すると考えられる。日本のロボット産業市場は2012年に約8600億円に達しており，2025年には約2兆8533億円，2025年には5兆2580億円に拡大すると予測されている(1)。特に自律移動ロボットは注目されており，そのようなロボットにおいては自己位置の認識は重要なものである。移動体の自己位置認識についてはこれまでにも多くの研究がなされており，様々な手法の自己位置検出システムが存在する。しかし，従来法である画像処理方式は処理が複雑，ランドマークの見え方に影響される，磁気方式では動作範囲の限定，周囲のレイアウト変更への対応が困難であるという欠点が存在している。本研究では処理が簡単でリアルタイム性に優れ，汎用性のある位置検出を目的とし，回転式PSDと周波数変調LED照明を用いた移動体の自己位置検出システムを開発した。

CiNii Article

開催期間： 2018年01月   記述言語：日本語  

現在、身体障害者に対する条件付き運転免許の保有数は、運転免許保有者の1%にも満たない。つまり、身体に障害を持つ人にとって車を運転することはとても困難である。本研究では、特に手や指先に障害を持つ人に向けたドライビングサポートシステムの作成を目的とする。このドライビングサポートシステムは、音声認識によりカメラを起動させた後、上下左右の顔方向により左右ウインカーの起動、ハザードランプの起動、それらの動作キャンセルを行う。本システムはを利用することで、手や指先に障害を持つ人が簡単にウインカーを出すことを可能にした。

CiNii Article

開催期間： 2018年01月   記述言語：日本語  

誰もが雨が降るとき傘を使い，使用後に私たちは傘を巻くだろう。その時，傘は濡れているので私たちの手も濡れる。傘を巻くとき，私たちは傘の骨組みの部分を握る。使用後の傘は濡れているので傘を巻くとき，手が濡れることになる。そのような理由から私たちは手を濡らさないで傘を巻く装置を開発した。傘を巻かなかったとき傘はスペースを取るので邪魔になる。また，巻かずに傘たてに入れるとその傘が他の傘の邪魔になり，その結果多くの傘を置けなくなる。傘を巻かない場合，傘の生地の部分が広がって散らかっているように見える。そして，それは整理整頓できている様には見えない。傘たてに巻いてない傘が置いてあるとき，誤ってその傘の中に傘を置いてしまう可能性がある。それが傘の破壊につながる。また，巻かれていない傘は他の傘にひっかかりやすいので傘たてから傘をとるときに他の傘を吊りあげてしまう。次に，電車やバスのような公共の交通機関を利用するとき，巻いていない傘は広がって周りの人たちを濡らすことがある。特に通勤ラッシュや帰宅ラッシュの時間には車内の人口密度が高いので傘は周りと接触しやすくなる。傘を巻かないことによって濡らされた人々はそのことを不快に思うことだろう。ではなぜ人たちは傘を巻かないのだろうか。その理由として「手間がかかる」，「面倒くさい」，「手がぬれるから」というのがある。その一方で，傘が乾くまで傘を巻かないという人もいる。傘の生地の部分が濡れた状態で傘を巻くと，湿気のせいで傘の骨が錆びてしまう可能性がある。また両手がふさがっている人は傘を巻くことが困難である。以上の理由から，傘を巻かない人たちがいる。この装置は傘を手を濡らさずに巻くことができるので，人々を手助けすることができる。

CiNii Article