Faculty Profiles - YOSHIDA Kaori

Papers - YOSHIDA Kaori

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Enhancing Decision-Making System with Implicit Attitude and Preferences: A Comprehensive Review in Computational Social Science Reviewed International journal

SILPANI Dian Christy, YOSHIDA Kaori

International Journal of Affective Engineering ( Japan Society of Kansei Engineering ) advpub ( 0 ) 2024.01

Authorship：Last author Language：English Publishing type：Research paper (scientific journal)

Implicit attitudes and preferences can be dynamic and context-dependent, evolving over time and in different situations. In this study, we point out 4 main topics: Implicit attitudes, preferences, decision-making system, and computational social science, to introduce a new approach to developing a decision-making system. As a comprehensive review, we set the 3 research questions as the main considerations for this study. We collected 903,451 articles using 3 major database sources (ScienceDirect, ACM Digital Library, and IEEE Xplore), screened 5 times with different viewpoints, and surveyed 14 articles to answer the research questions. As a result of the comprehensive review, we conclude that it shows the possibility of enhancing the decision-making system with implicit attitudes and preferences in a computational social science manner.

DOI： 10.5057/ijae.ijae-d-24-00011

CiNii Research

The Impact of Large Sample Datasets on Hand Gesture Recognition by Hand Landmark Classification Reviewed International journal

AHMAD Khawaritzmi Abdallah, SILPANI Dian Christy, YOSHIDA Kaori

International Journal of Affective Engineering ( Japan Society of Kansei Engineering ) 22 ( 3 ) 253 - 259 2023.07

Authorship：Last author Language：English Publishing type：Research paper (scientific journal)

Today, almost all aspects of life are influenced by technology to simplify these aspects of life. Researching how humans and computers interact is very important to build a good model for better human-computer interaction in the future. Using technology such as computer vision, we can now collect the information we are looking for directly from a human. Humans can use many kinds of modalities to interact with computers. Hands are perhaps the largest source of body language information after the face. To understand the gesture’s meaning, we can use MediaPipe Hands, developed at Google LLC, as a method to track and recognize human hands. However, if we want to understand some kinds of hand gestures using MediaPipe Hands, we need to create a condition using if-else manners. This research tried to collect the wide variety of each hand gesture using the 21 key points in x, y, and z coordinates as a feature. We chose Support Vector Machine (SVM) and Artificial Neural Network (ANN) as classifiers to validate the impact of large sample datasets. This research found that ANN is the best among all the methods we used as a classifier method for the 3D value of 21 key points from the hand skeleton. The accuracy and F1-score from ANN were 98.4% accuracy and 98.2% F1-Score, respectively, representing the best performance for each class of all the methods we used in this research.

DOI： 10.5057/ijae.ijae-d-22-00022

CiNii Research

Other Link： https://www.jstage.jst.go.jp/article/ijae/22/3/22_IJAE-D-22-00022/_pdf

Static Hand Gesture Recognition Based on Multi-Feature Extraction with Context for User Intension Reviewed

Ahmad Khawaritzmi Abdallah, Silpani Dian Christy, Yoshida Kaori

ICIC Express Letters, Part B: Applications ( ICIC International ) 15 ( 8 ) 779 - 786 2024.08

Static Hand Gesture Recognition based on Multi-Feature extraction with Context for User Intension, Reviewed International journal

(1) Khawaritzmi Abdallah Ahmad, Dian Christy Silpani and Kaori Yoshida

ICIC Express Letters, Part B: Applications 15 ( 8 ) 2024.08

An Investigation of the Effects of Presentation Methods for Visual Elements and Thinking Styles on Text Comprehension Reviewed International journal

Kouki Ueno, Kaori Yoshida and Naruki Shirahama

ICIC Express Letters, Part B: Applications 15 ( 6 ) 561 - 573 2024.06

Implicit Attitude of Human Behavior: A Review Reviewed

Dian Christy Silpani and Kaori Yoshida

Proceedings of Computer Information Systems, Biometrics and Kansei Engineering 2023 102 - 114 2023.09

Static Hand Gesture Recognition Based on Multi-Feature Extraction with Context for User Intension Reviewed International journal

Khawaritzmi Abdallah Ahmad, Dian Christy Silpani and Kaori Yoshida

Proc. of 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) ( 142 ) 2023.08

An Investigation of the Effects of Presentation Methods for Visual Elements and Thinking Styles on Text Comprehension Reviewed International journal

Kouki Ueno, Kaori Yoshida and Naruki Shirahama

Proc. of 17th International Conference on Innovative Computing, Information and Control (ICICIC2023) ( 125 ) 2023.08

A Feasibility Study on Hand Gesture Intention Interpretation Based on Gesture Detection and Speech Recognition Reviewed International journal

Silpani Dian Christy, Suematsu Keishi, Yoshida Kaori

Journal of Advanced Computational Intelligence and Intelligent Informatics ( Fuji Technology Press Ltd. ) 26 ( 3 ) 375 - 381 2022.05

Authorship：Last author Language：English Publishing type：Research paper (scientific journal)

In this paper, considering the characteristics of hand gestures that occur during a natural, unscripted human conversation, we report the results of experiments involving the data analysis of the video recordings of experiments. The recorded conversations between two subjects and the assistant in the experiments (the first author) are analyzed for findings that might be useful to future human-robot interaction (HRI), findings regarding the recognition of hand gestures in natural conversations. In the experiment, hand gestures that appeared naturally during the conversations were manually selected, and their elapsed times and number of appearances were analyzed. In addition, these unscripted conversations were analyzed with a voice recognition system, and the meanings of the hand gestures that appear in the recorded video were interpreted. It was observed that some gestures were made consciously and others unconsciously. Some gestures appeared multiple times with similar meanings and the same intention, especially gestures involving pointing at something to emphasize a sentence or word. Other observations included that there were times when (i) each subject made different hand gestures to convey the same meaning, (ii) both subjects made the same hand gesture but intended different meanings, and (iii) a specific gesture was made by the same subject but with different intended meanings. After considering the results of these experiments, we conclude that it is better to combine gestures with the utterances at the time in order to interpret their intended meanings correctly.

DOI： 10.20965/jaciii.2022.p0375

Scopus

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85132786254&origin=inward

特集：「地域における AI 社会実装」特集「地域における AI 社会実装」にあたって

吉田香, 諏訪博彦, 清田陽司

人工知能 ( 一般社団法人人工知能学会 ) 37 ( 2 ) 170 - 171 2022.01

Calibration Cost Reduction of Indoor Localization Using Bluetooth Low Energy Beacon Reviewed International journal

As Mansur, Shimizu Hiroshi, Benaissa Brahim, Yoshida Kaori, Köppen Mario

Journal of Advanced Computational Intelligence and Intelligent Informatics ( Fuji Technology Press Ltd. ) 26 ( 1 ) 97 - 106 2022.01

Language：English Publishing type：Research paper (scientific journal)

Indoor localization based on Bluetooth low energy (BLE) beacons has been rapidly developed, and many approaches have been developed to achieve higher estimation accuracy. In these methods, the received signal strength (RSS) is the input. However, the measurement of indoor environments is affected easily; the signal may be reflected and attenuated by obstacles such as the human body, walls, and furniture, which creates a challenge for methods based on signal mapping. In this study, BLE signal characteristics are investigated in an indoor localization setting. An experiment is performed using one BLE beacon and multiple receivers installed at different wall and ceiling positions. The raw RSS is observed, and the relationship between the BLE beacon signal strength characteristics against the human body effect as well as the receiver’s placement in the observation area are discussed. Signal mapping is performed, where the signal strength is measured from all receivers simultaneously. The position estimation accuracy is examined based on different data scenarios. The results show that the estimation position estimated by the BLE beacon based on extensive BLE beacon data does not affect the estimation accuracy.

DOI： 10.20965/jaciii.2022.p0097

Scopus

CiNii Article

CiNii Research

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85124460770&origin=inward

Hand Gesture Recognition by Hand Landmark Classification Reviewed International journal

AHMAD Khawaritzmi Abdallah, SILPANI Dian Christy, YOSHIDA Kaori

International Symposium on Affective Science and Engineering ( Japan Society of Kansei Engineering ) ISASE2022 ( 0 ) 1 - 4 2022.01

Authorship：Last author Language：English Publishing type：Research paper (international conference proceedings)

These years, computer vision technology has been rapidly advanced. On the other hand, customer satisfaction is essential for the industry to improve its service but use traditional methods ineffectively. Using technology such as computer vision, we can now collect the information we are looking for directly from a human. Humans can use many kinds of modalities to interact with computers. Hands are perhaps the largest source of body language information after the face. To understand the gesture's meaning, we can use MediaPipe Hands developed at Google LLC as a method to track and recognize human hands. However, if we want to understand some kinds of hand gestures using MediaPipe Hands, we need to create a condition ourselves by using if-else conditions. This research tried to collect the many varieties of each hand gesture using the 21 key points in x, y, and z coordinates as a feature. As classifiers, we chose the support vector machine (SVM) and the artificial neural network (ANN). This research found that SVM using a polynomial kernel is the best among all of the methods we used as a classifier method for the 3D value of 21 key points from the hand skeleton. The accuracy and F1-score from SVM using a polynomial kernel were 86.26% accuracy and 82% F1-score, respectively, representing the best performance for each class of all the methods we used in this research.

DOI： 10.5057/isase.2022-c000026

CiNii Research

Other Link： https://www.jstage.jst.go.jp/article/isase/ISASE2022/0/ISASE2022_1_34/_pdf

A First Prototype of an Emotional Smart Speaker Reviewed International journal

Enrique A. de la Cal, Alberto Gallucci, José Ramón Villar, Kaori Yoshida, Mario Koeppen

Advances in Intelligent Systems and Computing 1401 304 - 313 2021.09

A Feasibility Study on Hand Gesture Recognition in Natural Conversation Reviewed

Silpani D.C., Suematsu K., Yoshida K.

2021 5th IEEE International Conference on Cybernetics, CYBCONF 2021 85 - 90 2021.06

より良い未来のための社会実装

吉田香

人工知能 ( 一般社団法人人工知能学会 ) 36 ( 3 ) 335 - 335 2021.01

Smart watering system based on framework of low-bandwidth distributed applications (LBDA) in cloud computing Reviewed

Sirimorok N., As M., Yoshida K., Köppen M.

Advances in Intelligent Systems and Computing 1263 AISC 447 - 459 2021.01

Language：English Publishing type：Research paper (international conference proceedings)

The estimation of soil moisture content is required for agriculture, mainly to build the irrigation scheduling model. In this study, we present a smart watering system to deal with various factors derived from the stochastic information in the agricultural operational, i.e., air temperature, air humidity, soil moisture, soil temperature, and light intensity. The methodology consists of exploiting the Internet of Things (IoT) using Low-Bandwidth Distributed Applications (LBDA) in cloud computing to integrate the real data sets collected by the several sensor technologies. We conducted experiments for the watering system used two types of soil and different plant. Here, the Long Short Term Memory Networks (LSTMs) approach in deep learning techniques used to build smart decisions concerning watering requirements and deal with heterogeneous information coming from agricultural environments. Results show that our models can effectively improve the prediction accuracy for the watering system over various soil and plants.

DOI： 10.1007/978-3-030-57796-4_43

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85090100059&origin=inward

Simple Meta-optimization of the Feature MFCC for Public Emotional Datasets Classification Reviewed International journal

de la Cal E., Gallucci A., Villar J.R., Yoshida K., Koeppen M.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 12886 LNAI 659 - 670 2021.01

Hand Position Tracking Correction of Leap Motion Controller Attached to the Virtual Reality Headset Reviewed

BELANOVÁ Dorota, YOSHIDA Kaori

International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association 25 ( 1 ) 29 - 37 2020.01

The Concept of Intelligent Space with a Robot Reviewed

International Symposium on Affective Science and Engineering 2019 ( 0 ) 1 - 4 2019.01

Tensor self-organizing map for kansei analysis Reviewed

796 - 801 2018.12

An Efficient Replay Method to Prevent SURF-Based Face Detection Reviewed

Dadkhah S., Koppen M., Sadeghi S., Yoshida K.

Proceedings - 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 18 - 25 2018.12

Language：English Publishing type：Research paper (international conference proceedings)

© 2018 IEEE. During the past couple of years, a considerable number of digital images are gathered by search engines, or uploaded by users in different social websites. These images could contain a variety of variables such as different faces, scenes, and unusual objects. The advancement of digital face recognition algorithms is sensational, recognition algorithms used by some of the social websites are even stronger than most secret service establishments. However, there is always a concern about how to protect the user's privacy when they do not want to be recognized automatically by these services. In this research, a SURF-based face recognition algorithm along with a featurebased attack to mislead this type of scheme is proposed. The recognition algorithm use different machine learning technique along with second layer descriptor counting function which makes it more powerful. However the primary focus of this research is to provide a method which can mislead this type of recognition systems with a smallest possible degradation to the image representation. The experimental results show that the proposed plan is successful to fool the SURF algorithm and its recognition system by 70%.

DOI： 10.1109/APWConCSE.2018.00012

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85074295713&origin=inward

Updatable indoor localization based on BLE signal fingerprint Reviewed

2018.11

上半身動作を用いたロボットの回避方向意図の伝達 Reviewed

石川友紀也, 末松圭史, 大坪正和, 吉田香

日本知能情報ファジィ学会論文誌 30 ( 5 ) 709 - 716 2018.10

Path planning on robot based on D∗ lite algorithm Reviewed

Belanova D., Mach M., Sinčák P., Yoshida K.

DISA 2018 - IEEE World Symposium on Digital Intelligence for Systems and Machines, Proceedings 125 - 130 2018.10

An efficient ward-based copy-move forgery detection method for digital image forensic Reviewed

2017-December 1 - 6 2018.07

Phone Application for Indoor Localization Based on Ble Signal Fingerprint Reviewed

Benaissa B., Hendrichovsky F., Yishida K., Köppen M., Sinčák P.

2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings 2018-January 1 - 5 2018.03

Language：English Publishing type：Research paper (international conference proceedings)

© 2018 IEEE. Indoor position of devices and persons is a very valuable information for context-aware devices and human activity recognition. The need of such information grows bigger by the advancement of IoT technologies. In this paper, we discuss existing indoor positioning approaches and their applications, give specific interest to the signal strength fingerprint approaches, to which belongs the presented paper. Bluetooth Low Energy Beacons are used as the source of the signal, and the Radial Basis Functions method is employed to create a model that relates to signal strength and position. The proposed approach allows the possibility of making all the computation on a smartphone application, namely, offline data collection and model computation, and online position estimation. Besides, it allows updating the model later.

DOI： 10.1109/NTMS.2018.8328729

Scopus

Other Link： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85047863726&origin=inward

Bad Ai: Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems Reviewed

Dadkhah S., Köeppen M., Sadeghi S., Yoshida K.

2018 9th IFIP International Conference on New Technologies, Mobility and Security, NTMS 2018 - Proceedings 2018-January 1 - 5 2018.03

BAD AI - Investigating the Effect of Half-Toning Techniques on Unwanted Face Detection Systems Reviewed

Sajjad Dadkhah and Mario Koeppen, Somayeh Sadeghi, Kaori Yoshida

the 9th IFIP International Conference on New Technologies, Mobility & Security 2018.02

Phone application for indoor localization based on BLE signal mapping Reviewed

Filip Hendrichovsky, Brahim Benaissa, Peter Sinčák, Kaori Yoshida

MobiCASE Student Workshop (MCSW2018) in conjunction with the 9th International Conference on Mobile Computing, Applications and Services (MobiCASE 2018) 2018.02

Challenges and Future Prospectives on User Modeling Reviewed

YOSHIDA Kaori

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 30 ( 4 ) 219 - 221 2018.01

Interactive Evolutionary Computation of Color Palette Design Enhanced by Impression Words Reviewed

2017.03

CoWoOZ - A cloud-based teleoperation platform for social robotics Reviewed

49 - 54 2017.03

Activity and Emotion Recognition for Elderly Health Monitoring Reviewed

17 ( 2 ) 81 - 88 2017.01

Simultaneous Kansei Analysis of Evaluators, Objects and Words by Tensor SOM Reviewed

ITONAGA Kyouhei, IWASAKI Tohru, UEMURA Yohei, YOSHIDA Kaori, FURUKAWA Tetsuo

Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 29 ( 6 ) 661 - 669 2017.01

The price of unfairness Reviewed

463 - 468 2016.10

Comparison of Near and Far Infrared Vision for Biometric Applications Reviewed

34 - 37 2016.01

How does shape of a progress bar effect time evaluation? Reviewed

OHTSUBO Masakazu, YOSHIDA Kaori

Journal of Biomedical Fuzzy Systems Association ( Biomedical Fuzzy Systems Association ) 18 ( 2 ) 31 - 39 2016.01

Language：Japanese Publishing type：Research paper (scientific journal)

The main purpose of this research is to satisfy personal computer users by visual perception perspective. There are many kinds of task related to time evaluation on application. Most researches focus on processing speed. We focus on application interface that inspired by visual perception methods to satisfy users. This study attempts to find relationship between progress bar design components and subjective speed by subjective evaluation experiments, and apply experimental results to a software interface design. We prepared the 10 different shapes of progress bar, displayed each progress bar taking time around 10 seconds to be completed, and let subjects to answer how long they felt. As a result, the quarter ring shape makes subjects feel short. We examined the experimental results through a software interface design. In this paper, we introduce two conflicting psychological opinions about time evaluation and show experimental results. As a future work, we should investigate influence of display time.

DOI： 10.24466/jbfsa.18.2_31

CiNii Article

Other Link： https://ci.nii.ac.jp/naid/130007935713

キャラクタの外見特徴と性格印象に応じた音声合成手法の提案

大野歩，大坪正和，吉田香

第 43 回あいまいと感性研究部会ワークショップ 2015.11

KL 情報量に基づく情報検索性能評価指標の提案

大坪正和，古川徹生，吉田香

第 43 回あいまいと感性研究部会ワークショップ 2015.11

Towards a Kansei WordNet by Color Design SNS Evaluation Reviewed

Kaori Yoshida, Dwilya Makiwan and Mario Koeppen

Proc. of 2015 International Conference on Intelligent Networking and Collaborative Systems (INCoS2015) 2015.09

Subjective Speed Evaluation on Striped Image Reviewed

Shunta Ando and Kaori Yoshida

2014.12

A Study on Face Impression based on Hair Style

Lu Zhang, Kaori Yoshida

International Workshop on Machine Vision and Intelligence (IWMVI 2014) 2014.10

Manga Retrieval System based on Ambiguous Memory

Shogo Nishimura, Kaori Yoshida

International Workshop on Machine Vision and Intelligence (IWMVI 2014) 2014.10

Music Recommendation System based on Lyrics and Melody

Tatsuya Kanatsu, Kaori Yoshida

International Workshop on Machine Vision and Intelligence (IWMVI 2014) 2014.10

Evolving Fair Linear Regression for the Representation of Human-Drawn Regression Lines Reviewed

Mario Köppen, Kaori Yoshida and Kei Ohnishi

2014.09

How does Shape of Progress Bar Effect on Time Evaluation Reviewed

Masakazu Ohtsubo, Kaori Yoshida

Proc. of 2014 International Conference on Intelligent Networking and Collaborative Systems (INCoS 2014) 2014.09

A Study of Relation between Fixation Point and Subjective Time Evaluation

Yuuki Wakida and Kaori Yoshida

Proc. of the 14th KYUTECH-POSTECH Joint Workshop on Neuroinformatics 2014.08

A Study of influences on emotional expression by the length of consonant

Tomohito Matsushita and Kaori Yoshida

Proc. of the 14th KYUTECH-POSTECH Joint Workshop on Neuroinformatics 2014.08

A Neo-Fuzzy World for Facilitating Symbiosis of Humans and Machines

Yamakawa Takeshi, Uchio Eiji, Kobashi Shoji, Tamukoh Hakaru, Koide Hiroshi, Sugimoto Toru, Shiizuka Hisao, Yoshida Kaori, Yoshikawa Tomohiro, Honda Aoi, Hayashi Isao, Suzuki Michiyasu, Mukawa Naoki

Proceedings of the Fuzzy System Symposium ( Japan Society for Fuzzy Theory and Intelligent Informatics ) 30 ( 0 ) 864 - 871 2014.01

Language：Japanese Publishing type：Research paper (conference, symposium, etc.)

It is necessary for human beings to create "neo-fuzzy" concept in order to facilitate unimpeded communication with machines. The new concept is defined in the non-metric space and acts as a breakthrough for the traditional "fuzzy" concept. This panel discussion may excavate the following subjects; (1) inference, association, analogy and meaning understanding, (2) text understanding, text production, mechanism of communication with linguistic terms, (3) building process of neural networks in the brain which produce/understand "neo-fuzzy" linguistic terms, (4) corresponding mechanism of visual/acoustic Vorstellung to "neo-fuzzy" linguistic terms, (5) memory devices, system architecture, and some other hardware systems peculiar to "neo-fuzzy" information processing, (6) applications of communication with "neo-fuzzy" linguistic terms.

DOI： 10.14864/fss.30.0_864

CiNii Article

Other Link： https://ci.nii.ac.jp/naid/130005480616

A Study of Speech Synthesizer with Emotional Expression

Tomohito Matsushita and Kaori Yoshida

Proc. of the International Workshop on Machine Vision for Industrial Innovation (MVII2013) 136 2013.10

Illustration Image Retrieval based on Subjective Similarity

Ayumu Ohno and Kaori Yoshida

Proc. of the International Workshop on Machine Vision for Industrial Innovation (MVII2013) 146 2013.10

Voice Retrieval based on Subjective Similarity

Masakazu Ohtsubo and Kaori Yoshida

Proc. of the International Workshop on Machine Vision for Industrial Innovation (MVII2013) 137 2013.10

A Study of Speech Synthesizer with Emotional Expression

Tomohito Matsushita and Kaori Yoshida

Proc. of the 13th KYUTECH-POSTECH Joint Workshop on Neuroinformatics 11 - 12 2013.08

Locked Room Mystery Novel Writing Support System

Yuuki Wakida and Nasanobu Umeda and Kaori Yoshida

Proc. of the 13th KYUTECH-POSTECH Joint Workshop on Neuroinformatics 13 - 14 2013.08

Relational approaches to resource-aware multi-maxmin fairness in multi-valued resource sharing tasks Reviewed

Mario Köppen, Kaori Yoshida and Masato Tsuru

International Journal of Space-Based and Situated Computing 3 ( 2 ) 91 - 101 2013.07

Evolutionary Linkage Creation between Information Sources in P2P Networks Reviewed

Kei Ohnishi, Mario Köppen and Kaori Yoshida

Evolutionary Intelligence 5 ( 4 ) 245 - 259 2012.12

Meta-heuristic approach to proportional fairness Reviewed

Mario Köppen, Kaori Yoshida, Kei Ohnishi and Masato Tsuru

Evolutionary Intelligence 5 ( 4 ) 231 - 244 2012.12

Genetic Clustering Based on Segregation Distortion Caused by Selfish Genes Reviewed

Kei Ohnishi, Mario Köppen, Chang Wook Ahn and Kaori Yoshida

Proc. of 2012 IEEE International Conference on Systems, Man, and Cybernetics 2012.09

Comparative Study on Meta-heuristics for Achieving Parabolic Fairness in Wireless Channel Allocation Reviewed

Mario Köppen, Kaori Yoshida, Rodrigo Verschae, Masato Tsuru and Yuji Oie

Proc. of 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet (SAINT) 302 - 307 2012.07

Evolutionary P2P Networking for Realizing Adaptive Networks Reviewed

Kei Ohnishi, Mario Koeppen, Kaori Yoshida, Yuji Oie

Advances in Intelligent Modelling and Simulation: Artificial Intelligence-based Models and Techniques in Scalable Computing 186 - 213 2012.07

Color Effect on Subjective Perception of Progress Bar Speed Reviewed

Kentaro Hamada, Kaori Yoshida, Kei Ohnishi and Mario Köppen

Proc. Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011) 863 - 866 2011.12

Recommendation System Based on Competing Algorithms Reviewed

Proc. Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011) 857 - 862 2011.12

Unsorting the Proportional Fairness Relation Reviewed

Proc. Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011) 47 - 52 2011.12

A GRATIS Theorem for Relational Optimization Reviewed

Mario Köppen, Kaori Yoshida and Kei Ohnishi

674 - 679 2011.12

A Generic Approach to Multi-Fairness and Its Application to Wireless Channel Allocation Reviewed

Mario Köppen, Kaori Yoshida and Masato Tsuru

Proc. Third International Conference on Intelligent Networking and Collaborative Systems (INCoS 2011) 587 - 593 2011.12

Meta-Heuristic Optimization Reloaded Reviewed

Mario Köppen, Kaori Yoshida and Kei Ohnishi

Proc. Third World Congress on Nature and Biologically Inspired Computing (NaBIC2011) 562 - 568 2011.10

Fuzzy Approaches to Proportional Fairness Reviewed

Mario Köppen, Kaori Yoshida and Masato Tsuru

2011 International Conference on Emerging Intelligent Data and Web Technologies (EIDWT) 72 - 77 2011.09

A Heuristic Approach to Fair Routing Path Selection Reviewed

Noriaki Hirosue, Kaori Yoshida and Mario Köppen

15th International Conference of Knowledge-Based and Intelligent Information and Engineering Systems (KES2011) 176 - 186 2011.09

Annealing Heuristic for Fair Wireless Channel Allocation by Exponential Ordered-Ordered Weighted Averaging Operator Maximization Reviewed

Mario Köppen, Kaori Yoshida, Masato Tsuru and Yuji Oie

2011 IEEE/IPSJ International Symposium on Applications and the Internet (SAINT 2011) 538 - 543 2011.07

Interactive genetic algorithm for font generation system Reviewed

2010.12

Fuzzification of maxmin fairness relation based on subvector dominance degree Reviewed

344 - 349 2010.12

Fuzzification of Maxmin Fairness Relation based on Subvector Dominance Degree Reviewed

Mario Koppen,Kaori Yoshida and Masato Tsuru

Proc. of 2nd International Conference on Intelligent Networking and Collaborative Systems (INCoS2010) 2010.11

Partial user-supplied information and user modeling for improving QoS Reviewed

Rodrigo Verschae,Mario Koppen and Kaori Yoshida

Simulation Modelling Practice and Theory 19 ( 1 ) 47 - 55 2010.10

Comparison of Evolutionary Multi-Objective Optimization Algorithms for the Utilization of Fairness in Network Control Reviewed

Mario Koppen,Rodrigo Verschae,Kaori Yoshida and Masato Tsuru

2010 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2010) 2010.10

Interactive Genetic Algorithm for Font Generation System Reviewed

Kaori Yoshida,Yuta Nakagawa and Mario Koppen

World Automation Congress (WAC2010) 2010.09

Pattern Formation in Networks Inspired by Biological Development Reviewed

Ohnishi,Kei,Yoshida,Kaori and Koeppen,Mario

Arts and Technology 64 - 71 2010.04

Heuristic Maxmin Fairness for the Wireless Channel Allocation Problem Reviewed

Mario Koppen,Rodrigo Verschae,Kaori Yoshida,Masato Tsuru

International Conference on Broadband, Wireless Computing, Communication and Applications 606 - 611 2010.04

Folksonomical P2P File Sharing Networks Using Vectorized KANSEI Information as Search Tags Reviewed

Kei Ohnishi,Kaori Yoshida,and Yuji Oie

IEICE Transactions on Information and Systems E92-D ( 12 ) 2402 - -2415 2009.12

User modeling for improving QoS using partial user-supplied information Reviewed

Rodrigo Verschae,Mario Koeppen,Kaori Yoshida

The Second International Workshop on Information Network Design 2009.04

Evolutionary Routing-Path Selection in Congested Communication Networks Reviewed

Mario Koppen,Kaori Yoshida,Masato Tsuru,Yuji Oie

2009 IEEE International Conference on Systems, Man, and Cybernetics 2224 - 2229 2009.04

Auxiliary Objectives for the Evolutionary Multi-Objective Principal Color Extraction from Logo Images Reviewed

Mario Koppen and Yutaka Kinoshita and Kaori Yoshida

Proc. of IEEE Congress on Evolutionary Computation pp. 3536 - 3542 2008.04

User Modeling by Confabulation Theory Reviewed

Mario Koppen and Kaori Yoshida

Proc. Of IEEE Conference on Soft Computing in Industrial Applications pp. 55 - 59 2008.04

Archiving Strategies for On-Line Decision Making in Evolutionary Multi-Objective Optimization Reviewed

Mario Koppen and Kaori Yoshida and Masato Tsuru and Yuji Oie

Proc. of Eighth International Conference on Hybrid Intelligent Systems pp. 465 - 470 2008.04

Visualization of Pareto-Sets in Evolutionary Multi-Objective Optimization Reviewed

Mario Koeppen,Kaori Yoshida

The 7th International Conference on Hybrid Intelligent Systems 156 - 161 2007.04

Gestalt Theory in Image Processing: A discussion paper Reviewed

Mario Koeppen,Kaori Yoshida

Proc. of IEEE Soft Computing in Industrial Applications 2007.04

Perception of image similarity considering Gestalt theory Reviewed

Yutaka Kinoshita,Mario Koeppen,Kaori Yoshida

Proc. of International Conference of Soft Computing and Human Sciences 2007 2007.04

Substitute Distance Assignments in NSGA-II for Handling Many-Objective Optimization Problems Reviewed

Mario Koeppen,Kaori Yoshida

Evolutionary Multi-Criterion Optimization, 4th International Conference 727 - 741 2007.04

Many-Objective Particle Swarm Optimization by Gradual Leader Selection Reviewed

Mario Koeppen,Kaori Yoshida

Proc. of ICANNGA07 2007.04

グループウェアにおける作業スペース共有方式がユーザ間の社会的関係構築に及ぼす影響:SenseWebの評価事例 Reviewed

ロペス　ロベルト，馬田　一郎，萩田　紀博，佐藤　知裕，吉田　香，苗村　昌秀

ヒューマンインタフェース学会 8 ( 1 ) 2006.04

Analysis on Empathy-inducing Effect brought by Haiku Reviewed

Masami Suzuki,Yuichi Kobayashi,Takahiro Nakai and Kaori Yoshida

IEICE Trans. Inf & Syst. E90 2006.04

Universal Representation of Image Functions by the Sprecher Construction Reviewed

Mario Koeppen,Kaori Yoshida

Proc. of The Fourth IEEE International Workshop on Soft Computing as Transdisciplinary Science and Technology (WSTST2005) 202 - 212 2005.04

Evolutionary Change in Developmental Timing Reviewed

Kei Ohnishi,Kaori Yoshida

Proc. of Genetic and Evolutionary Computation Conference (GECCO 2005) 1561 - 1562 2005.04

A Constructive Approach to Creating A Method for Generating Images Reviewed

Kei Ohnishi,Kaori Yoshida

Proc. of Fourth International Conference on Hybrid Intelligent Systems 346 - 351 2004.12

A Constructive Approach to Image Understanding Reviewed

Kei Ohnishi,Kaori Yoshida

Proceeding of Joint 2nd International Conference on Soft Computing and Intelligent Systems and 5th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2004) 21 - 24 2004.09

Contents Management System based on Kansei Information Processing -Investigation for Multimedia Contents Delivery Service- Reviewed

Proceeding of International Conference on Intelligent Systems Design and Applications 453 - 456 2004.08

A 3D Model Search Engine for Cellular Phones Reviewed

Motofumi T. SUZUKI,Kaori YOSHIDA and Tatsuya SHIBATA

Proceedings of the 4th Japan-Korea International Symposium on Kansei Engineering 337 - 337 2003.10

A Proposal of Kansei Description for Multimedia Contents Reviewed

7th International Conference on Knowledge-Based Intelligent Information & Engineering System 466 - 473 2003.04

感性データベースと連携したパーソナルモデル構築ツール

吉田　香，本村　陽一

ITX2002 IPA未踏ソフトウェア創造事業平成12年度成果論文集 2002.04

Kansei Factor Analysis Using C4.5 Reviewed

6th On-line World Conference on Soft Computing p089.pdf - p089.pdf 2001.09

感性データベースと連携したパーソナルモデル構築ツール

吉田　香，本村　陽一

ITX2001 IPA未踏ソフトウェア創造事業平成12年度成果論文集 2001.04

Database System for Kansei-Oriented Communication Reviewed

Kaori YOSHIDA,Toshikazu Kato

2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation printing - printing 2000.10

Generative user models for Adaptive Information Retrieval Reviewed

Yoichi Motomura,Kaori YOSHIDA,Kazunori Fujimoto

2000 IEEE International Conference on System, Man, and Cybernetics 665 - 670 2000.10

A Study of Kansei Factor in Image Database System Reviewed

Kaori YOSHIDA,Toshikazu Kato

The 4th Asian Fuzzy Systems Symposium 329 - 334 2000.06

芸術をコンピュータで鑑る

吉田　香

日本ファジィ学会誌 12 ( 4 ) 465 - 468 2000.04

A Study of Database System with KANSEI Information Reviewed

Kaori YOSHIDA,Toshikazu KATO,Torao YANARU

IEEE International Conference on System, Man, and Cybernetics VI-253-VI-256 1999.10

Subjective Aspects in Image Database System Reviewed

Kaori YOSHIDA,Toshikazu KATO,Torao YANARU

International Joint Conference on Neural Networks CD-ROM 1999.07

Image Retrieval System based on Subjective Interpretation Reviewed

Kaori YOSHIDA,Toshikazu KATO and Torao YANARU

Methodologies for the Conception Design and Application of Soft Computing 1 247 - 250 1998.04

A Model for Emotional Aspects on Visual Art Works Reviewed

Kaori YOSHIDA,Toshikazu KATO and Torao YANARU

Procs. of the 5th Int'l Conf. on Neural Information Processing 2 923 - 926 1998.04

Image Retrieval System using Impression Words Reviewed

Kaori YOSHIDA,Toshikazu KATO and Torao YANARU

Proc. of 1998 IEEE Int'l Conf. on System Man and Cybernetics 2780 - 2784 1998.04

An Emotion Processing System Based on Fuzzy Inference and Subjective Observations Reviewed

Torao YANARU, Naruki SHIRAHAMA, Kaori YOSHIDA and Masahiro NAGAMATSU

Information Science 101 217 - 247 1997.04

Supporting Human-Human Interaction beyond Cultural Backgrounds Reviewed

Toshikazu KATO, Tadayuki SOTA, Nadia BIANCHI and Kaori YOSHIDA

Procs. of the Conference on Human Factors in Computing Systems Basic Research Symposium 1997.04

A Proposal of Emotional Processing System Reviewed

Kaori YOSHIDA, Masahiro NAGAMATSU and Torao YANARU

Methodologies for the Conception Design and Application of Intelligent Systems 802 - 805 1996.04

A Basic Concept of Human Cognitive Model Based on Subjective Observation Reviewed

Naruki SHIRAHAMA, Torao YANARU, Kaori YOSHIDA and Masahiro NAGAMATSU

Biomedical Fuzzy and Human Sciences 2 37 - 44 1996.04

A Human Cognitive Model based on Mapping Function -An Application to Emotion Processing- Reviewed

Naruki SHIRAHAMA, Masahiro NAGAMATSU, Kaori YOSHIDA and Kazuhiro MIYAMOTO

Methodologies for the Conception Design and Application of Intelligent Systems 790 - 793 1996.04

A Proposal of Emotional Processing System Using Neural Cell Model Reviewed

Kaori YOSHIDA, Masahiro NAGAMATSU and Torao YANARU

Proc. of 1996 IEEE Int'l Conf. on System Man and Cybernetics accepted 1996.04

A Proposal of Emotional Processing Model Reviewed

Kaori YOSHIDA and Torao YANARU

Proc. of the 9th Int'l Conf. on Industrial & Engineering Applications of Artificial Intelligence and Expert System 563 - 568 1996.04

An Application of Frame Oriented Theory to Decision Processing and Evaluation of Psychiatric Diagnosis Reviewed

Kaori YOSHIDA, Naruki SHIRAHAMA and Torao YANARU

Biomedical Fuzzy and Human Sciences 1 15 - 20 1995.04

An Application of Frame Oriented Theory to decision processing and evaluation of medical diagnosis Reviewed

Kaori YOSHIDA and Torao YANARU

Procs. of the Int'l Joint Conf. of the 4th IEEE Int'l Conf. on Fuzzy Systems and the 2nd Int'l Fuzzy Engineering Symposium 2 497 - 502 1995.04

A Proposal of Emotional Memory Model Reviewed

Kaori YOSHIDA and Torao YANARU

Proc. of the 2nd New Zealand Int'l Two-Stream Conf. on Artificial Neural Networks and Expert System 67 - 70 1995.04

A New Approach to Construct a Basic Concept of Human Cognitive Model based on Subjective Observation Reviewed

Naruki SHIRAHAMA, Kaori YOSHIDA, Seiji YOKOJI and Torao YANARU

Procs. of the 6th Int'l Fuzzy Systems Association World Congress 2 321 - 324 1995.04

Theory for Subjective Observation concerning Vectors derived from Frame Oriented Patterns -An application to decision processing and evaluation of medical diagnosis- Reviewed

Torao YANARU and Kaori YOSHIDA

Proc. of the 3rd Int'l Conf. on Fuzzy Logic Neural Nets and Soft Computing 319 - 322 1994.04

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Papers - YOSHIDA Kaori