2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)最新文献

Renewable implementation of rational biomolecular systems design 可再生实施合理的生物分子系统设计

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240329

Masaaki Tamba, T. Nakakuki

引用次数: 2

Analysis of Sound Imagery in EEG with a Convolutional Neural Network and an Input-perturbation Network Prediction Technique 基于卷积神经网络和输入-扰动网络预测技术的脑电声图像分析

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240467

Sarawin Khemmachotikun, Y. Wongsawat

{"title":"Analysis of Sound Imagery in EEG with a Convolutional Neural Network and an Input-perturbation Network Prediction Technique","authors":"Sarawin Khemmachotikun, Y. Wongsawat","doi":"10.23919/SICE48898.2020.9240467","DOIUrl":"https://doi.org/10.23919/SICE48898.2020.9240467","url":null,"abstract":"Sound imagery has been studied in past decades with techniques such as fMRI, PET, MEG, or tDCS. However, sound imagery phenomenon in EEG signal has not been widely studied. Use of deep learning in EEG applications is increasing in popularity due to the ability to learn EEG data without rich data pre-processing. In contrast to typical classification models, with the input -perturbation network prediction technique used here, we visualized the learned features from the trained model in terms of the correlation between the change in input frequency and the change in network prediction to better understand the features the model used for decision making. In this study, we recorded EEG signals from three subjects who were asked to perform a sound imagery task. In the first phase, subjects were asked to listen to and remember a generated sound; in the second phase, subjects were asked to imagine a sound of the same pitch. One-fourth of trials had no sound generation; EEG signals were labeled with the no imagery class. EEG signals from the remaining trials were labeled with the sound imagery class for model training. The best accuracy of 71.41% was obtained by the shallow model for subject 1, and an average accuracy of 61.00% was achieved between subjects. The model’s decision to classify EEG data into the sound imagery class was based on decreases in the delta, theta, and low beta bands in the frontal lobe and corresponding increases in the in the right temporal lobe of the brain.","PeriodicalId":240352,"journal":{"name":"2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121335596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generation of Compound Emotions Expressions with Emotion Generative Adversarial Networks (EmoGANs) 基于情绪生成对抗网络(EmoGANs)的复合情绪表达生成

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240306

Win Shwe Sin Khine, Prarinya Siritanawan, K. Kotani

{"title":"Generation of Compound Emotions Expressions with Emotion Generative Adversarial Networks (EmoGANs)","authors":"Win Shwe Sin Khine, Prarinya Siritanawan, K. Kotani","doi":"10.23919/SICE48898.2020.9240306","DOIUrl":"https://doi.org/10.23919/SICE48898.2020.9240306","url":null,"abstract":"Facial expressions of human emotions play an essential role in gaining insights into human cognition. They are crucial for designing human-computer interaction models. Although human emotional states are not limited to basic emotions such as happiness, sadness, anger, fear, disgust, and surprise, most of the current researches are focusing on those basic emotions. In this study, we proposed a new methodology to create facial expressions of compound emotions that evolve from combining those of basic emotions. In our experiments, we train our proposed model, namely Emotion Generative Adversarial Network (EmoGANs), in both unsupervised and supervised manners to improve the quality of generated images. To demonstrate the efficiency of the proposed method, we use the Extended Cohn-Kanade Dataset (CK+) and Japanese Female Facial Expressions Dataset (JAFFE) as inputs and visualize the generated images from our proposed EmoGANs. In the experiment, our proposed methodology can manipulate basic facial expressions to create facial expressions of compound emotions.","PeriodicalId":240352,"journal":{"name":"2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127322271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Disturbance Attenuation Control via Time-varying Input-to-State Stability Tracking Control Lyapunov Functions 时变输入-状态稳定跟踪控制李雅普诺夫函数干扰衰减控制

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240287

Yasuhiro Fujii, Hisakazu Nakamura

引用次数: 1

Extension of Projection Area using Head Orientation in Projected Virtual Hand Interface for Wheelchair Users 轮椅使用者投影虚拟手界面中基于头部方向的投影区域扩展

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240271

Kohei Morita, T. Hiraki, H. Matsukura, D. Iwai, Kosuke Sato

{"title":"Extension of Projection Area using Head Orientation in Projected Virtual Hand Interface for Wheelchair Users","authors":"Kohei Morita, T. Hiraki, H. Matsukura, D. Iwai, Kosuke Sato","doi":"10.23919/SICE48898.2020.9240271","DOIUrl":"https://doi.org/10.23919/SICE48898.2020.9240271","url":null,"abstract":"A projected virtual hand interface, which visually extends arms of users using projection images, enables wheelchair users to reach unreachable objects; however, its projection area is narrower than the reaching area required for the users. To address this problem, we propose a wheelchair system enhanced with a projected virtual hand that allows controlling a projection area using user’s head orientation. The proposed system estimates the current orientation of a user’s head and controls the pan and tilt of a projector accordingly to move a projection area considering the positional relationship with a projection plane. As users can operate the projection area simply by turning their head, this operation can be executed simultaneously with operations of a virtual hand using their hands. We propose a control model for projector rotation according to the user’s head direction. The conducted user experience study has revealed that the proposed method enables users to perform pointing tasks in a shorter time compared with the existing method, and moreover, it has acceptable interface usability.","PeriodicalId":240352,"journal":{"name":"2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128642577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Monotonicity Analysis for Optimal Scheduling of Storage Batteries and Power Generators – Considering Ramp Limit of Thermal Power Plant – 考虑火电厂坡道极限的蓄电池与发电机组最优调度单调性分析

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240277

M. Koike, T. Ishizaki, J. Imura

引用次数: 0

Interleaving Generation Evolutionary Algorithm with Precedence Evaluation of Tentative Offspring 具有暂定子代优先评价的交错生成进化算法

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240410

H. Noguchi, Akari Sonoda, Tomohiro Harada, R. Thawonmas

引用次数: 4

EEG Feature Selection for Subjective Preference 基于主观偏好的脑电特征选择

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240470

Wichaya Wichienchai, Y. Wongsawat

{"title":"EEG Feature Selection for Subjective Preference","authors":"Wichaya Wichienchai, Y. Wongsawat","doi":"10.23919/SICE48898.2020.9240470","DOIUrl":"https://doi.org/10.23919/SICE48898.2020.9240470","url":null,"abstract":"The quantitative-based human behavior finding is one of the most challenging problem to access the human preference in neuromarketing. The humans’ subconscious response to a decision making relevant to the process of brain electrical signal using electroencephalogram (EEG). The EEG signals are related to the positions of the electrode in the international 10 – 20 system. In this research, the EEG of five participants are recorded while they are choosing the product which is preferred and unpreferred from the nearly identical composition and flavor of the two brands of snack. The signal was normalized and extracted using the power spectral density (PSD) and asymmetry index to observe behavioral differences between the two cerebral hemispheres. According to the experiments, the left frontal with asymmetry index can potentially illustrate the preferred product. To further emphasize, by using the root mean square error calculated from the support vector machine (SVM), the results show that the error in the group using asymmetry feature is less than using the traditional normative PSD feature. According to these results, a systematic human preference prediction can be potentially done using the EEG.","PeriodicalId":240352,"journal":{"name":"2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123680011","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Relationships Between Middle-Range Topology and Weights on Face-to-Face Communication Networks 面对面通信网络中程拓扑与权值的关系

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240381

Shun'ichi Amano, Y. Miyake

{"title":"The Relationships Between Middle-Range Topology and Weights on Face-to-Face Communication Networks","authors":"Shun'ichi Amano, Y. Miyake","doi":"10.23919/SICE48898.2020.9240381","DOIUrl":"https://doi.org/10.23919/SICE48898.2020.9240381","url":null,"abstract":"Weighted network analysis deals with both the topology of connection and its weights. The primary interest of the analysis is the relationship between topology and weights. For instance, scaling-law between degree and strength have been widely observed. However, the relationship between middle range topology and weights has not been explicitly investigated because conventional analysis was biased toward global or local range topology. In this study, we clarify the relationship between middle range topology and weights in a social network that is a face-to-face communication network in a corporate organization. As results, we found that the specific trend of the relationship appears in the range of two degrees of separation. This indicates the middle ranges of a weighted network have a non-trivial trend that cannot be derived from local or global ranges, and the trend also depends on the number of steps in the middle ranges. In addition, the approach of this study is expected to be useful for detecting features unique to the middle ranges of weighted social networks.","PeriodicalId":240352,"journal":{"name":"2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121661298","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development of Blocked Route Signboard Detection Algorithm for Autonomous Mobile Robot Combining Omnidirectional Camera and 3D-LiDAR 结合全向相机和3D-LiDAR的自主移动机器人阻塞路径标识检测算法的开发

2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2020-09-23 DOI: 10.23919/SICE48898.2020.9240367

Toshiki Kono, T. Ohkubo, Kazuyuki Kobayashi, Kajiro Watanabe

引用次数: 0