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A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device 一种基于单通道脑电设备的情绪效价估计移动应用
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492583
Mikito Ogino, Y. Mitsukura
{"title":"A Mobile Application for Estimating Emotional Valence Using a Single-Channel EEG Device","authors":"Mikito Ogino, Y. Mitsukura","doi":"10.23919/SICE.2018.8492583","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492583","url":null,"abstract":"A product assessment is the important process to develop a new product. After a new product has been developed, the product developers hire ordinary people and give an interview to them. In recent years, a new method called “neuromarketing” is used for product evaluation. However, it is difficult to use the conventional measurement devices and they are mainly used in an experimental environment. In this paper, we developed the model to estimate human emotions, especially valence by using single-channel EEG device. We used the fast Fourier transform, the robust scaling and the support vector regression to predict the valence score. The parameters of the methods were selected by using the grid search and the genetic algorithm. The designed model was evaluated by the correlation coefficient and the classification accuracy of two classes between predicted valence data and labeled valence data. The scores were 0.36 and 72.40%.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072300","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: 9
Multivariable Control of a Heat Pump System Based on a Local Linear Model Network 基于局部线性模型网络的热泵系统多变量控制
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492714
R. Clauss, Thomas Pursche, B. Tibken
{"title":"Multivariable Control of a Heat Pump System Based on a Local Linear Model Network","authors":"R. Clauss, Thomas Pursche, B. Tibken","doi":"10.23919/SICE.2018.8492714","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492714","url":null,"abstract":"The present work describes a control concept of a heat pump system using stable local linear model network. We have already shown in [1] that this model structure can be used to identify the refrigerant circuit module (RCM) with a high model quality. The RCM is a coupled constrained nonlinear multi-input multi-output (MIMO) system. Accordingly, we use a constrained model predictive controller (CMPC), which receives the optimal linear transfer functions of the system depending on the operating point via the local network. The presented concept was verified on an air/water heat pump for which a flow temperature control was implemented.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382938","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
Robust Control of Contact Force for Pantograph-Catenary System 受电弓接触网系统接触力的鲁棒控制
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492702
Pan Yu, Kang‐Zhi Liu, M. Yokoyama, Min Wu
{"title":"Robust Control of Contact Force for Pantograph-Catenary System","authors":"Pan Yu, Kang‐Zhi Liu, M. Yokoyama, Min Wu","doi":"10.23919/SICE.2018.8492702","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492702","url":null,"abstract":"To improve the quality of the current collection transmitted to a high-speed train, based on a pantograph model with a three-degree of freedom, two methods are presented to suppress the vibration of the pantograph-catenary system. One is $H_{infty}$ robust control, and the other is improved equivalent-input-disturbance (IEID)-based control. For the $H_{infty}$ robust control, a robust stability condition together with a performance criterion in the frequency domain is given to obtain a dynamic controller. For the IEID-based method, the LQR regulation combined with LMI technique and Lyapunov stability theory is used to design the control gains of the state-feedback controller, the state observer and the IEID estimator in the time domain. Simulations show that these two methods achieve good vibration suppression performance in the steady state.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125996273","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
Study on a GMDH-PID Controller Design Method Based on LASSO 基于LASSO的GMDH-PID控制器设计方法研究
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492667
S. Wakitani, Toru Yamamoto
{"title":"Study on a GMDH-PID Controller Design Method Based on LASSO","authors":"S. Wakitani, Toru Yamamoto","doi":"10.23919/SICE.2018.8492667","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492667","url":null,"abstract":"This paper proposes a group method of data handling based PID (GMDH-PID) controller using the least absolute shrinkage and selection operator (LASSO) that is one of the sparse modeling methods. A database-driven PID (DD-PID) controller is one of the effective nonlinear PID controller design methods. However, some electrical control units in industrial systems cannot implement the algorithm because the DD-PID control scheme requires a large amount of memory capacity and high-performance processor. The GMDH-PID controller that approximately expresses the behavior of the DD-PID controller by combinations of simple nonlinear functions has been proposed to solve the above problem. Although the GMDH-PID method can reduce the amount of memory capacity and calculation costs, calculated coefficients in nonlinear functions may not stable due to the multicollinearity of input signals. In this research, instead of the least squares method, the LASSO is employed as a coefficient calculation method of the GMDH in which some coefficients can be calculated as zero in order to avoid the influence of the multicollinearity. The effectiveness of the proposed method is evaluated by simulation examples.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131440361","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: 1
A High-order Iterative Learning Control for Discrete-Time Linear Switched Systems 离散线性切换系统的高阶迭代学习控制
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492561
Z. Shao, Zhaoxia Duarr
{"title":"A High-order Iterative Learning Control for Discrete-Time Linear Switched Systems","authors":"Z. Shao, Zhaoxia Duarr","doi":"10.23919/SICE.2018.8492561","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492561","url":null,"abstract":"In this paper, a high-order iterative learning control (ILC) scheme is proposed for discrete-time linear switched systems with iteration-varying factors (e.g. reference trajectories, initial states and disturbances). The iteration-varying factors of initial states here mean the resetting errors which may exist at the beginning of each pass due to the poor repetitiveness of the system. Firstly, a high-order ILC law embedding the characteristic of known variation of the reference trajectories is introduced to the system. In order to handle the iteration-varying factors, a Lyapunov-Krasovskii function is proposed and sufficient conditions for exponential stability with $l_{2}$ performance of the system are derived in the form of a set of linear matrix inequalities (LMIs). Finally, a numerical example is given to illustrate the effectiveness of the proposed results.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114455668","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: 4
Nonlinear Model Predictive Control of Automobiles with Switching Transmission Characteristics 具有切换传动特性的汽车非线性模型预测控制
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492637
Yusuke Hagi, T. Kawabe, Tsuyoshi Yuno, Takanobu Sawada, Hiraku Ooba
{"title":"Nonlinear Model Predictive Control of Automobiles with Switching Transmission Characteristics","authors":"Yusuke Hagi, T. Kawabe, Tsuyoshi Yuno, Takanobu Sawada, Hiraku Ooba","doi":"10.23919/SICE.2018.8492637","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492637","url":null,"abstract":"We propose a novel method of solving NMPC problem for nonlinear systems that include switching behaviors. The effectiveness of this method is confirmed by a numerical simulation of the fuel-efficiency optimization of an automobile capable of switching the transmission characteristics of the continuously variable transmission (CVT). We also propose a method of reducing the difference between the relaxed problem and the original one.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132759924","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
Fast Road Detection Methods on a Large Scale Dataset for Assisting Robot Navigation Using Kernel Principal Component Analysis and Deep Learning 基于核主成分分析和深度学习的大规模数据集快速道路检测方法
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492578
K. Khalilullah, M. Jindai, Shunsuke Ota, T. Yasuda
{"title":"Fast Road Detection Methods on a Large Scale Dataset for Assisting Robot Navigation Using Kernel Principal Component Analysis and Deep Learning","authors":"K. Khalilullah, M. Jindai, Shunsuke Ota, T. Yasuda","doi":"10.23919/SICE.2018.8492578","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492578","url":null,"abstract":"A large database needs a heavy computation when the analysis is needed. The heavy computation leads to decrease the autonomous system performance. In our previous work, a complete vision based dirvable road detection method was proposed using Deep Belief Neural Network(DBNN). However, the previous method is unable to perform in real time for a large scale database. Due to solve this problem, in this paper, two fast drivable road detection approaches have been proposed using Kernel Principal Component Analysis-Deep Belief Neural Network (KPCA-DBNN) and Dimensionality Reduction Deep Belief Neural Network (DRDBNN) to reduce heavy computation for a large database. In the KPCA-DBNN, KPCA is used for dimensionality reduction and DBNN is used for classification. In the DRDBNN, two DBNNs are used. One DBNN is used for dimensionality reduction, and other DBNN is used for classification. The performance of the two approaches is demonstrated by the experimental results. From the experimental results, we see that the KPCA-DBNN and DRDBNN approaches reduce the processing time as compared to the conventional DBNN method. In addition, the results indicate that DRDBNN performed better than KPCA-DBNN in terms of detection accuracy on a large road database.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132249985","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
An Unsupervised Approach to Place-Specific Change Classification 特定地点变化分类的非监督方法
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492631
Inagami Kazunori, Tanaka Kanji, Fei Xiaoxiao
{"title":"An Unsupervised Approach to Place-Specific Change Classification","authors":"Inagami Kazunori, Tanaka Kanji, Fei Xiaoxiao","doi":"10.23919/SICE.2018.8492631","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492631","url":null,"abstract":"In this study, we address the problem of supervised change detection for robotic map learning applications, in which the aim is to train a place-specific change classifier (e.g., support vector machine (SVM)) to predict changes from a robot's view image. An open question is the manner in which to partition a robot's workspace into places (e.g., SVMs) to maximize the overall performance of change classifiers. This is a chicken-or-egg problem: if we have a well-trained change classifier, partitioning the robot's workspace into places is rather easy; However, training a change classifier requires a set of place-specific training data. In this study, we address this novel problem, which we term unsupervised place discovery. In addition, we present a solution powered by convolutional-feature-based visual place recognition, and validate our approach by applying it to two place-specific change classifiers, namely, nuisance and anomaly predictors.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131081354","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
Evaluation of Error and Sensitivity for Force Sensor Using Shape-Memory Polymer 形状记忆聚合物力传感器的误差和灵敏度评价
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492564
Kazuto Takashima, Ryo Onoda, T. Mukai
{"title":"Evaluation of Error and Sensitivity for Force Sensor Using Shape-Memory Polymer","authors":"Kazuto Takashima, Ryo Onoda, T. Mukai","doi":"10.23919/SICE.2018.8492564","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492564","url":null,"abstract":"Robotic technology is being increasingly used in a variety of fields, including not only manufacturing, but also nursing and welfare. Applications of robotic technology in nursing and welfare require the measurement of a wide range of forces in order to grasp and lift objects accurately in different operating environments. In light of this, we have developed a force sensor that uses a shape-memory polymer (SMP) whose stiffness varies with temperature. The relationship between the applied force and the deformation of the SMP changes depending on the temperature, which allows the measurement range and sensitivity to be changed with temperature. Our sensor, which consists of strain gauges bonded to an SMP beam, senses the applied force by measuring the strain in the SMP as it bends. In the present study, four SMP force sensors with different numbers of strain gauges and steel plates were fabricated, and their accuracy and sensitivity were evaluated. Experiments using the prototypes demonstrated that the sensor with one steel plate had a small error and a large sensitivity range.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133354164","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: 4
Risk Analysis of Financial Time-Series Using Multi-Scale Entropy 基于多尺度熵的金融时间序列风险分析
2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE) Pub Date : 2018-09-01 DOI: 10.23919/SICE.2018.8492649
S. Nobukawa, T. Sekine, M. Chiba, Teruya Yamanishi, H. Nishimura
{"title":"Risk Analysis of Financial Time-Series Using Multi-Scale Entropy","authors":"S. Nobukawa, T. Sekine, M. Chiba, Teruya Yamanishi, H. Nishimura","doi":"10.23919/SICE.2018.8492649","DOIUrl":"https://doi.org/10.23919/SICE.2018.8492649","url":null,"abstract":"Recently, there are growing concerns about the time-scale dependency of complexity in financial data. To evaluate the risk of financial data, we adopt a multi-scale entropy analysis, which can measure complexity with timescale dependency, to time-series of TOPIX during 1/7/1992-6/1/2016. The results confirm that sample entropy exhibits higher value, especially with large-scale factor, near main financial incidents. Furthermore, we classify a multi-scale entropy profile against the time-scale by K-means. Furthermore, we confirm that the multi-scale entropy profile during main financial incidents belongs to the class with larger 1 st component of principal component analysis. Therefore, we conclude that multi-scale entropy is a useful tool for evaluating the risk of financial data.","PeriodicalId":425164,"journal":{"name":"2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)","volume":"450 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115729594","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: 1
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