研究者詳細 - 徳永　旭将

論文 - 徳永　旭将

分割表示49 件中 1 - 20 件目／全件表示 >>

Global-Local Consistency for Cost-Effective Anomaly Localization with Point Annotations 査読有り国際誌

徳永旭将

2024 16th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) ( IEEE ) 2024年10月

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）

Creating pixel-level ground-truth (GT) masks is quite costly for deep learning-based image segmentation. Specialists in areas such as anomaly detection and medical diagnostics face difficulties in producing many GT masks due to limited resources. To reduce this burden, we propose a cost-effective image segmentation framework with point annotations (CoSPA) that performs image segmentation with only point annotations. Point annotations refer to the partial and sparse labeled coordinates in an image. The key idea is to ensure consistency between the predictions for the same coordinates from the two different networks of CoSPA. This new consistency enables the CoSPA to improve segmentation performance and extend to semi-supervised learning. For the MVTec AD dataset, we verified the cost-effectiveness of CoSPA through an anomaly detection task. We demonstrated that the point annotating costs were reduced by 80% compared to creating GT masks. Subsequently, the CoSPA realized by 87% of the mean Intersection over Union (mIoU) achieved using the fully supervised method, DeepLabV3+. Moreover, the mIoU of CoSPA using only 30% of all point annotations defeated that of the unsupervised method, PaDiM. This study offers a new direction for economic anomaly localization.

CiNii Research

その他リンク： https://kyutech.repo.nii.ac.jp/records/2000992

Bidirectional 2D Reservoir Computing for Image Anomaly Detection without any Training 査読有り国際誌

Keiichi Nakanishi, Terumasa Tokunaga

Nonlinear Theory and Its Applications ( The Institute of Electronics, Information and Communication Engineers ) 15 ( 4 ) 838 - 850 2024年10月

Mechanism of sensory perception unveiled by simultaneous measurement of membrane voltage and intracellular calcium 査読有り国際誌

Terumasa Tokunaga, Noriko Sato, Mary Arai, Takumi Nakamura, Takeshi Ishihara

Communications Biology, ( Nature Portfolio (Springer Nature) ) 7 ( 1150 ) 2024年09月

担当区分：筆頭著者,　責任著者記述言語：英語掲載種別：研究論文（学術雑誌）

Measuring neuronal activity is important for understanding neuronal function. Ca2+ imaging by genetically encoded calcium indicators (GECIs) is a powerful way to measure neuronal activity. Although it revealed important aspects of neuronal function, measuring the neuronal membrane voltage is important to understand neuronal function as it triggers neuronal activation. Recent progress of genetically encoded voltage indicators (GEVIs) enabled us fast and precise measurements of neuronal membrane voltage. To clarify the relation of the membrane voltage and intracellular Ca2+, we analyzed neuronal activities of olfactory neuron AWA in Caenorhabditis elegans by GCaMP6f (GECI) and paQuasAr3 (GEVI) responding to odorants. We found that the membrane voltage encodes the stimuli change by the timing and the duration by the weak semi-stable depolarization. However, the change of the intracellular Ca2+ encodes the strength of the stimuli. Furthermore, ODR-3, a G-protein alpha subunit, was shown to be important for stabilizing the membrane voltage. These results suggest that the combination of calcium and voltage imaging provides a deeper understanding of the information in neural circuits. (Figure presented.)

DOI： 10.1038/s42003-024-06778-2

Scopus

その他リンク： https://link.springer.com/article/10.1038/s42003-024-06778-2

Global-Local Consistency for Cost-Effective Anomaly Localization with Point Annotations 査読有り国際誌

Keiichi Nakanishi, Ryoya Katafuchi, Terumasa Tokunaga

The proceedings of 16th IIAI International Congress on Advanced Applied Informatics ( IEEE Computer Society ) 53 - 57 2024年07月

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）

日本高松 2024年07月06日 - 2024年07月12日

DOI： 10.1109/IIAI-AAI63651.2024.00019

Kyutacar

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85208092849&origin=inward

Layer-wise External Attention by well-localized attention map for efficient deep anomaly detection 招待有り査読有り国際誌

Keiichi Nakanishi, Ryo Shiroma, Tokihisa Hayakawa, Ryoya Katafuchi, Terumasa Tokunaga

SN Computer Science ( Springer Nature ) 592 ( 5 ) 2024年05月

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）

The external attention mechanism offers a promising approach to enhance image anomaly detection (Hayakawa et al., in: IMPROVE, pp. 100-–110, 2023). Nevertheless, the effectiveness of this method is contingent upon the judicious selection of an intermediate layer with external attention. In this study, we performed a comprehensive series of experiments to clarify the mechanisms through which external attention improves detection performance. We assessed the performance of the LEA-Net (Hayakawa et al., in: IMPROVE, pp. 100–110, 2023), which implements layer-wise external attention, using MVTec AD and Plant Village datasets. The detection performances of the LEA-Net were compared with that of the baseline model under different anomaly maps generated by three unsupervised approaches. In addition, we investigated the relationship between the detection performance of LEA-Net and the selection of an attention point, which means an intermediate layer where external attention is applied. The findings reveal that the synergy between the dataset and the generated anomaly map influenced the effectiveness of the LEA-Net. For poorly localized anomaly maps, the selection of the attention point becomes a pivotal factor in determining detection efficiency. At shallow attention points, a well-localized attention map successfully notably improves the detection performance. For deeper attention points, the overall intensity of the attention map is essential; this intensity can be substantially amplified by layer-wise external attention, even for a low-intensity anomaly map. Overall, the results suggest that for layer-wise external attention, the positional attributes of anomalies hold greater significance than the overall intensity or visual appearance of the anomaly map.

DOI： 10.1007/s42979-024-02912-3

Kyutacar

その他リンク： https://www.scopus.com/record/display.uri?eid=2-s2.0-85194873765&origin=resultslist

Layer-Wise External Attention by Well-Localized Attention Map for Efficient Deep Anomaly Detection 招待有り査読有り国際誌

徳永旭将

SN Computer Science ( Springer ) 5 ( 5 ) 592 2024年05月

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）

CiNii Research

その他リンク： https://kyutech.repo.nii.ac.jp/records/2000766

Bidirectional 2D reservoir computing for image anomaly detection without any training 査読有り国際誌

Nakanishi K., Tokunaga T.

Nonlinear Theory and its Applications, IEICE 15 ( 4 ) 838 - 850 2024年01月

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）

Image anomaly detection is a crucial task in computer vision, where convolutional neural networks (CNN) often deliver exceptional performances. Hardware implementation of machine learning models is also important for achieving inference speed-up and power savings. However, the massive number of CNN parameters poses challenges for hardware implementation. This study introduces reservoir computing (RC) to create a compact image processor without training, thereby enabling scalable deployment. Our proposed bidirectional 2-dimensional reservoir computing (BiRC2D) is a feature extractor based on RC. Experiments conducted on the MVTec AD dataset, a benchmark dataset for real-world anomaly detection task, validated the efficacy of BiRC2D when integrated into the patch distribution modeling (PaDiM) framework. The mean intersection over union (mIoU) score from PaDiM with BiRC2D outperformed or was comparable to the mIoU score from PaDiM with ResNet-50 in several categories while reducing the parameter count by up to 98%.

DOI： 10.1587/nolta.15.838

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105002778025&origin=inward

Layer-wise External Attention for Efficient Deep Anomaly Detection 査読有り

Tokihisa Hayakawa, Keiichi Nakanishi, Ryoya Katafuchi, Terumasa Tokunaga

Proceedings of the 3rd International Conference on Image Processing and Vision Engineering ( SCITEPRESS - Science and Technology Publications ) 100 - 110 2023年01月

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）

チェコプラハ

DOI： 10.5220/0011856800003497

CiNii Research

その他リンク： https://www.scitepress.org/Link.aspx?doi=10.5220/0011856800003497

Behavioral forgetting of olfactory learning is mediated by interneuron-regulated network plasticity in Caenorhabditis elegans 査読有り国際誌

Jamine Teo, Itsuki Kurokawa, Yuuki Onishi, Noriko Sato, Tomohiro Kitazono, Terumasa Tokunaga, Manabi Fujiwara, Takeshi Ishihara

eNeuro ( the Society for Neuroscience ) 9 ( 4 ) 2022年08月

記述言語：英語掲載種別：研究論文（学術雑誌）

Forgetting is important for animals to manage acquired memories to enable adaptation to changing environments; however, the neural network in mechanisms of forgetting is not fully understood. To understand the mechanisms underlying forgetting, we examined olfactory adaptation, a form of associative learning, in Caenorhabditis elegans (C. elegans). The forgetting of diacetyl olfactory adaptation in C. elegans is regulated by secreted signals from AWC sensory neurons via the TIR-1/JNK-1 pathway. These signals cause a decline of the sensory memory trace in AWA neurons where diacetyl is mainly sensed. To further understand the neural network that regulates this forgetting, we investigated the function of interneurons downstream of AWA and AWC neurons. We found that a pair of interneurons, AIA, is indispensable for the proper regulation of behavioral forgetting of diacetyl olfactory adaptation. Loss of or inactivation of AIA caused the impairment of the chemotaxis recovery after adaptation without causing severe chemotaxis defects in naïve animal. AWA Ca2+ imaging analyses suggested that loss or inactivation of AIA interneurons did not affect the decline of the sensory memory trace after the recovery. Furthermore, AIA responses to diacetyl were observed in naïve and after the recovery, but not just after the conditioning, suggesting that AIA responses after the recovery are required for the chemotaxis to diacetyl. We propose that the functional neuronal circuit for attractive chemotaxis to diacetyl is changed temporally at the recovery phase so that AIA interneurons are required for chemotaxis, although AIAs are dispensable for attractive chemotaxis to diacetyl in naïve animals.

DOI： https://doi.org/10.1523/ENEURO.0084-22.2022

その他リンク： https://www.eneuro.org/content/early/2022/08/17/ENEURO.0084-22.2022

半教師あり二値分類のためのクラス事前確率を用いたコスト関数の提案査読有り

中西慶一, 徳永旭将

第25回画像の認識・理解シンポジウム ( 情報処理学会コンピュータビジョンとイメージメディア(CVIM)研究会 ) 2022年07月

担当区分：最終著者,　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）

日本姫路 2022年07月25日 - 2022年07月28日

本稿は半教師あり二値分類のための新しいコスト関数を提案する. 提案するコスト関数は, Focal Loss を半教師あり分類のために拡張した損失関数とクラス事前確率罰則項から構成される. クラス事前確率罰則項を導入することで, ラベルなしデータにおける正例の割合がわかる場合, その事前情報を直接的に推論に活用することが可能である. 提案するコスト関数の有用性を評価するため, CIFAR-10 を用いた画像二値分類試験を行った. その結果, 少量のラベルありデータセットや不均衡なデータセットにおいて, 提案するコスト関数は既存のコスト関数と比べて優れた性能を示すことを確認した.

その他リンク： https://sites.google.com/view/miru2022/program#h.44rbhnwbmvlj

Behavioral Forgetting of Olfactory Learning Is Mediated by Interneuron-Regulated Network Plasticity in Caenorhabditis elegans 査読有り

Teo J.H.M., Kurokawa I., Onishi Y., Sato N., Kitazono T., Tokunaga T., Fujiwara M., Ishihara T.

eNeuro 9 ( 4 ) 2022年07月

記述言語：英語掲載種別：研究論文（学術雑誌）

Forgetting is important for animals to manage acquired memories to enable adaptation to changing environments; however, the neural network in mechanisms of forgetting is not fully understood. To understand the mechanisms underlying forgetting, we examined olfactory adaptation, a form of associative learning, in Caenorhabditis elegans. The forgetting of diacetyl olfactory adaptation in C. elegans is regulated by secreted signals from AWC sensory neurons via the TIR-1/JNK-1 pathway. These signals cause a decline of the sensory memory trace in AWA neurons, where diacetyl is mainly sensed. To further understand the neural network that regulates this forgetting, we investigated the function of interneurons downstream of AWA and AWC neurons. We found that a pair of interneurons, AIA, is indis-pensable for the proper regulation of behavioral forgetting of diacetyl olfactory adaptation. Loss or inactivation of AIA caused the impairment of the chemotaxis recovery after adaptation without causing severe chemotaxis defects in the naive animal. AWA Ca2+ imaging analyses suggested that loss or inactivation of AIA interneurons did not affect the decline of the sensory memory trace after the recovery. Furthermore, AIA responses to diacetyl were observed in naive animals and after the recovery, but not just after the conditioning, suggesting that AIA responses after the recovery are required for the chemotaxis to diacetyl. We propose that the functional neuronal circuit for attractive chemo-taxis to diacetyl is changed temporally at the recovery phase so that AIA interneurons are required for chemotaxis, although AIAs are dispensable for attractive chemotaxis to diacetyl in naive animals.

DOI： 10.1523/ENEURO.0084-22.2022

Kyutacar

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85137058885&origin=inward

Signal and Noise Separation from Satellite Magnetic Field Data through Independent Component Analysis: Prospect of Magnetic Measurements without Boom and Noise Source Information 査読有り国際誌

Shun Imajo, Masahito Nosé, Mari Aida, Haruhisa Matsumoto, Nana Higashio, Terumasa Tokunaga , Ayako Matsuoka

Journal of Geophysical Research: Space Physics ( American Geophysical Union ) 126 ( 5 ) 2021年04月

Image-based Plant Disease Diagnosis with Unsupervised Anomaly Detection based on Reconstructability of Colors 査読有り国際誌

Katafuchi, R. and Tokunaga, T.

In Proceedings of the International Conference on Image Processing and Vision Engineering - IMPROVE ( SciTePress ) 112 - 120 2021年04月

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）

Virtual Virtual 2021年04月28日 - 2021年04月30日

This paper proposes an unsupervised anomaly detection technique for image-based plant disease diagnosis. The construction of large and publicly available datasets containing labeled images of healthy and diseased crop plants led to growing interest in computer vision techniques for automatic plant disease diagnosis. Although supervised image classifiers based on deep learning can be a powerful tool for plant disease diagnosis, they require a huge amount of labeled data. The data mining technique of anomaly detection includes unsupervised approaches that do not require rare samples for training classifiers. We propose an unsupervised anomaly detection technique for image-based plant disease diagnosis that is based on the reconstructability of colors; a deep encoder-decoder network trained to reconstruct the colors of healthy plant images should fail to reconstruct colors of symptomatic regions. Our proposed method includes a new image-based framework for plant disease detection that u tilizes a conditional adversarial network called pix2pix and a new anomaly score based on CIEDE2000 color difference. Experiments with PlantVillage dataset demonstrated the superiority of our proposed method compared to an existing anomaly detector at identifying diseased crop images in terms of accuracy, interpretability and computational efficiency.

DOI： 10.5220/0010463201120120

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85115692116&origin=inward

Cohesive and anisotropic vascular endothelial cell motility driving angiogenic morphogenesis 査読有り国際誌

Takubo N., Yura F., Naemura K., Yoshida R., Tokunaga T., Tokihiro T., Kurihara H.

Scientific Reports ( Nature Publishing Group ) 9 ( 1 ) 9304-1 - 9304-9 2019年12月

記述言語：英語掲載種別：研究論文（学術雑誌）

Vascular endothelial cells (ECs) in angiogenesis exhibit inhomogeneous collective migration called “cell mixing”, in which cells change their relative positions by overtaking each other. However, how such complex EC dynamics lead to the formation of highly ordered branching structures remains largely unknown. To uncover hidden laws of integration driving angiogenic morphogenesis, we analyzed EC behaviors in an in vitro angiogenic sprouting assay using mouse aortic explants in combination with mathematical modeling. Time-lapse imaging of sprouts extended from EC sheets around tissue explants showed directional cohesive EC movements with frequent U-turns, which often coupled with tip cell overtaking. Imaging of isolated branches deprived of basal cell sheets revealed a requirement of a constant supply of immigrating cells for ECs to branch forward. Anisotropic attractive forces between neighboring cells passing each other were likely to underlie these EC motility patterns, as evidenced by an experimentally validated mathematical model. These results suggest that cohesive movements with anisotropic cell-to-cell interactions characterize the EC motility, which may drive branch elongation depending on a constant cell supply. The present findings provide novel insights into a cell motility-based understanding of angiogenic morphogenesis.

DOI： 10.1038/s41598-019-45666-2

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068037379&origin=inward

SPF-CellTracker: Tracking Multiple Cells with Strongly-Correlated Moves Using a Spatial Particle Filter 査読有り国際誌

Hirose O., Kawaguchi S., Tokunaga T., Toyoshima Y., Teramoto T., Kuge S., Ishihara T., Iino Y., Yoshida R.

IEEE/ACM Transactions on Computational Biology and Bioinformatics ( Institute of Electrical and Electronics Engineers Inc. ) 15 ( 6 ) 1822 - 1831 2018年11月

記述言語：英語掲載種別：研究論文（学術雑誌）

© 2004-2012 IEEE. Tracking many cells in time-lapse 3D image sequences is an important challenging task of bioimage informatics. Motivated by a study of brain-wide 4D imaging of neural activity in C. elegans, we present a new method of multi-cell tracking. Data types to which the method is applicable are characterized as follows: (i) cells are imaged as globular-like objects, (ii) it is difficult to distinguish cells on the basis of shape and size only, (iii) the number of imaged cells in the several-hundred range, (iv) movements of nearly-located cells are strongly correlated, and (v) cells do not divide. We developed a tracking software suite that we call SPF-CellTracker. Incorporating dependency on the cells' movements into the prediction model is the key for reducing the tracking errors: the cell switching and the coalescence of the tracked positions. We model the target cells' correlated movements as a Markov random field and we also derive a fast computation algorithm, which we call spatial particle filter. With the live-imaging data of the nuclei of C. elegans neurons in which approximately 120 nuclei of neurons were imaged, the proposed method demonstrated improved accuracy compared to the standard particle filter and the method developed by Tokunaga et al. (2014).

DOI： 10.1109/TCBB.2017.2782255

Scopus

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85038382107&origin=inward

線虫の全脳活動データに対する位相解析

岩崎唯史, 寺本孝行, 大江紗, 徳永旭将, 広瀬修, 豊島有, ジャンムンソン, 吉田亮, 飯野雄一, 石原健

日本物理学会講演概要集 ( 一般社団法人日本物理学会 ) 72.1 ( 0 ) 2817 - 2817 2017年01月

記述言語：日本語掲載種別：研究論文（大学，研究機関等紀要）

<p>線虫C. elegansの神経系は302個の神経細胞から構成され，そのうち約170個が頭部に集中している．頭部に存在するこれら神経細胞の同時イメージングデータに対して，同期/非同期オーダーパラメータを用いた位相解析，および類似度行列に基づいたクラスタ解析を行った．本発表ではこれらの結果について報告する．また，シナプス結合に異常がある変異体での結果と野生型での結果の違いについても言及する．</p>

DOI： 10.11316/jpsgaiyo.72.1.0_2817

CiNii Article

CiNii Research

Accurate Automatic Detection of Densely Distributed Cell Nuclei in 3D Space 査読有り国際誌

Toyoshima Y., Tokunaga T., Hirose O., Kanamori M., Teramoto T., Jang M.S., Kuge S., Ishihara T., Yoshida R., Iino Y.

PLoS Computational Biology ( Public Library of Science ) 12 ( 6 ) 2016年06月

記述言語：英語掲載種別：研究論文（学術雑誌）

To measure the activity of neurons using whole-brain activity imaging, precise detection of each neuron or its nucleus is required. In the head region of the nematode C. elegans, the neuronal cell bodies are distributed densely in three-dimensional (3D) space. However, no existing computational methods of image analysis can separate them with sufficient accuracy. Here we propose a highly accurate segmentation method based on the curvatures of the iso-intensity surfaces. To obtain accurate positions of nuclei, we also developed a new procedure for least squares fitting with a Gaussian mixture model. Combining these methods enables accurate detection of densely distributed cell nuclei in a 3D space. The proposed method was implemented as a graphical user interface program that allows visualization and correction of the results of automatic detection. Additionally, the proposed method was applied to time-lapse 3D calcium imaging data, and most of the nuclei in the images were successfully tracked and measured.

DOI： 10.1371/journal.pcbi.1004970

Scopus

PubMed

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84978903985&origin=inward

Automated detection and tracking of many cells by using 4D live-cell imaging data 査読有り

Tokunaga T., Hirose O., Kawaguchi S., Toyoshima Y., Teramoto T., Ikebata H., Kuge S., Ishihara T., Iino Y., Yoshida R.

Bioinformatics ( Oxford University Press ) 30 ( 12 ) 2014年06月

担当区分：筆頭著者記述言語：英語掲載種別：研究論文（学術雑誌）

Motivation: Automated fluorescence microscopes produce massive amounts of images observing cells, often in four dimensions of space and time. This study addresses two tasks of time-lapse imaging analyses; detection and tracking of the many imaged cells, and it is especially intended for 4D live-cell imaging of neuronal nuclei of Caenorhabditis elegans. The cells of interest appear as slightly deformed ellipsoidal forms. They are densely distributed, and move rapidly in a series of 3D images. Thus, existing tracking methods often fail because more than one tracker will follow the same target or a tracker transits from one to other of different targets during rapid moves. Results: The present method begins by performing the kernel density estimation in order to convert each 3D image into a smooth, continuous function. The cell bodies in the image are assumed to lie in the regions near the multiple local maxima of the density function. The tasks of detecting and tracking the cells are then addressed with two hill-climbing algorithms. The positions of the trackers are initialized by applying the cell-detection method to an image in the first frame. The tracking method keeps attacking them to near the local maxima in each subsequent image. To prevent the tracker from following multiple cells, we use a Markov random field (MRF) to model the spatial and temporal covariation of the cells and to maximize the image forces and the MRF-induced constraint on the trackers. The tracking procedure is demonstrated with dynamic 3D images that each contain >100 neurons of C.elegans. © 2014 The Author. Published by Oxford University Press. All rights reserved.

DOI： 10.1093/bioinformatics/btu271

Scopus

PubMed

その他リンク： https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84902509846&origin=inward

3次元動画像内の非常に多数の細胞領域を自動追跡するための粒子フィルタ手法の開発

広瀬修, 川口翔太郎, 徳永旭将, 豊島有, 寺本孝行, 佐藤賢二, 池端久貴, 佐藤博文, 久下小百合, 石原健, 飯野雄一, 吉田亮

人工知能学会全国大会論文集 ( 一般社団法人人工知能学会 ) JSAI2014 ( 0 ) 2C32in - 2C32in 2014年01月

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）

<p>細胞動画像の典型的な特徴として多数の追跡対象物が密に存在し視覚的に類似していることが挙げられる．このような動画像に対し標準的な粒子フィルタを利用した場合，本来の追跡対象を別の対象物と誤認し追跡に容易に失敗する．この問題に対し多数の細胞の共変動性に着目し追跡のための補助情報としてこれを利用することで追跡精度の向上を目指す．</p>

DOI： 10.11517/pjsai.jsai2014.0_2c32in

CiNii Article

CiNii Research

データ同化によって線虫の神経回路をまるごと読み解く : 現状と課題招待有り査読有り

徳永旭将, 吉田亮, 岩崎唯史

シミュレーション = Journal of the Japan Society for Simulation Technology / 日本シミュレーション学会編 ( 東京 : 小宮山印刷工業 ) 32 ( 4 ) 287 - 294 2013年12月

　前のページ- 次のページ　

<徳永 旭将>

論文 - 徳永 旭将

<徳永　旭将>

論文 - 徳永　旭将