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Estimating communication skills based on multimodal information in group discussions

Transactions of the Japanese Society for Artificial Intelligence 2016年第6期31卷

作者： Okada, Shogo Matsugi, Yoshihiro Nakano, Yukiko Hayashi, Yuki Huang, Hung-Hsuan Takase, Yutaka Nitta, Katsumi School of Computing Tokyo Institute of Technology Japan Department of Computational Intelligence and Systems Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Japan Department of Computer and Information Science Seikei University Japan College of Sustainable System Sciences Osaka Prefecture University Japan Department of Information and Communication Science College of Information Science and Engineering Ritsumeikan University Japan

This paper focuses on developing a model for estimating communication skills of each participant in a group from multimodal (verbal and nonverbal) features. For this purpose, we use a multimodal group meeting corpus including audio signal data and head motion sensor data of participants observed in 30 group meeting sessions. The corpus also includes the communication skills of each participant, which is assessed by 21 external observers with the experience of human resource management. We extracted various kinds of features such as spoken utterances, acoustic features, speaking turns and the amount of head motion to estimate the communication skills. First, we created a regression model to infer the level of communication skills from these features using support vector regression to evaluate the estimation accuracy of the communication skills. Second, we created a binary (high or low) classification model using support vector machine. Experiment results show that the multimodal model achieved 0.62 in R2 as the regression accuracy of overall skill, and also achieved 0.93 as the classification accuracy. This paper reports effective features in predicting the level of communication skill and shows that these features are also useful in characterizing the difference between the participants who have high level communication skills and those who do not. © 2016, Japanese Society for Artificial Intelligence. All rights reserved.

关键词： Human resource management

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Image improvement in pinhole SPECT using complete data acquisition combined with statistical image reconstruction

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International Congress Series 2004年第C期1265卷 101-105页

作者： Zeniya, Tsutomu Watabe, Hiroshi Aoi, Toshiyuki Kim, Kyeong Min Teramoto, Noboru Hayashi, Takuya Sohlberg, Antti Kudo, Hiroyuki Iida, Hidehiro Department of Investigative Radiology National Cardiovascular Center Research Institute Suita Osaka 565-8565 5-7-1 Fujishiro-dai Japan Department of System Science Graduate School of Informatics Kyoto University Kyoto 606-8501 Yoshida-Honmachi Sakyo Japan Department of Clinical Physiology and Nuclear Medicine Kuopio University Hospital FIN-70211 Kuopio P.O. Box 1777 Finland Department of Computer Science Graduate School of Systems and Information Engineering University of Tsukuba Ibaraki 305-8573 1-1-1 Tennoudai Tsukuba Japan

Pinhole single-photon emission computed tomography (SPECT) with high spatial-resolution is suitable for small-animal imaging, but has limitations associated with spatial-resolution inhomogeneity or axial blurring. We have hypothesized that this blurring is due to incompleteness of projection data acquired by a single circular pinhole orbit. And we have developed a pinhole SPECT system with two circular orbits which satisfy Tuy's condition so as to provide complete data for 3D pinhole SPECT reconstruction within the whole field-of-view (FOV);a dedicated 3D ordered subsets expectation maximization (3D-OSEM) reconstruction method for two-orbit data. This study is aimed at evaluating accuracy and impact of this system. In this system, not the camera but the object rotates and the two orbits are 90° and 45° relative to object's axis. Experiments using a multiple-disk phantom filled with ^99mTc solution and a mouse bone scan using ^99mTc-labeled HMDP agent were carried out. The Feldkamp's filtered back-projection (FBP) method and the 3D-OSEM method were applied to these data sets. The axial blurring was apparent on images reconstructed by FBP for single-orbit data, while the 3D-OSEM using two-orbit data dramatically improved the resolution homogeneity and statistical noise property, and also demonstrated considerably better image quality in the mouse scan. © 2004 Elsevier B.V.

关键词： Complete data acquisition Pinhole SPECT Small animal Statistical image reconstruction Tuy's condition

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Symplectic discrete-time Krasovskii passivity-based control for output consensus*

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IFAC-PapersOnLine 2023年第2期56卷 8562-8567页

作者： Yu Kawano Alessio Moreschini Michele Cucuzzella Graduate School of Advanced Science and Engineering Hiroshima University Higashi-hiroshima 739-8527 Japan Department of Electrical and Electronic Engineering Imperial College London SW7 2AZ London U.K. Department of Electrical Computer and Biomedical Engineering University of Pavia 27100 Pavia Italy

In this paper, we design a sampled-data distributed output feedback controller to achieve output consensus for linear continuous-time port-Hamiltonian systems in presence of unknown disturbances. The key idea is borrowed from Krasovskii passivity-based output consensus control for continuous-time dynamics. To conceptualise this rationale to sampled control systems, we deal with a discrete-time system arising from a symplectic discretization of a continuous-time linear port-Hamiltonian system, such as the implicit midpoint method. As a preliminary step, we introduce the concept of Krasovskii passivity for discrete-time systems and further show that a discretized linear port-Hamiltonian system is Krasovskii passive in the discrete-time sense. Then, based on the discrete-time version of Krasovskii passivity, we develop a sampled-data output feedback controller to achieve output consensus. The proposed sampled-data controller can be understood as a symplectic discretization of the continuous-time output consensus controller. Finally, we illustrate the effectiveness of the main result by achieving current sharing in a DC power network.

关键词： Sampled-data control port-Hamiltonian systems passivity output consensus

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Active Disturbance Rejection control for Nonlinear Two-tank Liquid Level Cascade systems with Model Uncertainties

Active Disturbance Rejection Control for Nonlinear Two-tank ...

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The Society of Instrument and control Engineers Annual Conference 2015

作者： Lijun Wang Fen Zhang Qing Li Yixin Yin Qing Zheng Yumeng Zhang School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Department of Electrical and Computer Engineering Gannon University

Due to the nonlinearities, model uncertainties and disturbances of the two-tank liquid level cascade system,active disturbance rejection controller(ADRC) solution was developed. First, a nonlinear mechanism model and its linearized model were built based on the theories of fluid dynamics for the system. Second, first-order linear ADRCs for the outer loop of the two cascade systems with an unknown order were designed, respectively. With a simple integrator as the normalized type of the feedback system, other parts of dynamic system which are different from the normalized type are treated as the total disturbances. The disturbances were estimated by the second-order linear extended state observer and compensated in the control law. Then the system, with nonlinearities, uncertainties and disturbances, is reduced to only a linear integrator. In comparison with the traditional PI controller, simulation results show that both the proposed ADRCs have better robustness and adaptability against model uncertainties.

关键词： Two-tank systems,nonlinear systems,uncertain systems,cascade systems,active disturbance rejection control

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Web-based 3D visualization and interaction of medical data using Web3D

Web-based 3D visualization and interaction of medical data u...

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SICE Annual Conference

作者： Sittapong Settapat Tiranee Achalakul Michiko Ohkura Division of Functional Control Systems Graduate School of Engineering Shibaura Institute of Technology Tokyo Japan Department of Computer Engineering Faculty of Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand Faculty of Engineering Shibaura Institute of Technology Tokyo Japan

ISBN: (纸本)9781424476428

This paper describes our current work in the design and development of web-based 3D reconstruction and visualization frameworks for medical data and presents a design framework for web-based 3D visualization and interaction for medical data. We implement a web-based 3D medical data visualization application with X3D technology. The web-based X3D framework integrated with a modular approach can extend cross-platform and inter-application data transfer ability and support run-time architecture to represent and communicate 3D scenes and objects. We also present the adaptability of a Web3D standard to visualize and interact with 3D medical data without a special extension.

关键词： Three dimensional displays Data visualization Image reconstruction Solid modeling Medical diagnostic imaging Navigation

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Application of collective synchronization to sensor data processing

Application of collective synchronization to sensor data pro...

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作者： Abe, Yuhei Miyano, Takaya Sugiyama, Susumu Department of Micro System Technology Ritsumeikan University 1-1-1 Noji-higashi Kusateu Shiga 525-8577 Japan Ritsumeikan University Japan Graduate School of Science and Engineering Japan Complex Systems Science United States IEE Japan Japan IEICE Japan IEEE Japan Physical Society of Japan Japan Japanese Neural Network Society Japan College of Science and Engineering Department of Micro System Technology Research Institute for Micro System Technology Ritsumeikan University Japan

This paper is concerned with a new approach for sensor data processing for sensor networks in which multiple sensors are supposed to monitor overlapping part of the environment. The proposed method is based on collective synchronization of nonlinear coupled virtual oscillators whose natural frequencies are set to sensor data. Under appropriate conditions, the oscillators are locked to a common frequency. This convergent behavior is interpreted as data processing for bleaching and classification of noisy sensor data.

关键词： Microsensors

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A Quantum Reinforcement Learning Method for Repeated Game Theory

A Quantum Reinforcement Learning Method for Repeated Game Th...

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International Conference on Computational Intelligence and Security

作者： Chunlin Chen Daoyi Dong Yu Dong Qiong Shi Department of Control and System Engineering School of Management and Engineering Nanjing University Nanjing China Key Laboratory of Systems and Control Institute of Systems Science Chinese Academy and Sciences Beijing China Department of Information Management and Decision Science University of Science and Technology Hefei China College of Humanities and Social Science Anhui Medical University Hefei China

ISBN: (纸本)1424406048

In this paper, a quantum reinforcement learning method is proposed for repeated game theory. First, the quantum reinforcement learning algorithm is introduced based on quantum state superposition principle and its superiority is analyzed. Then, it is applied to repeated games and the experiments show its effectiveness. Related issues are also discussed before the conclusion is given

关键词： Quantum mechanics Game theory Artificial intelligence Quantum computing Learning systems Nuclear magnetic resonance control systems Algorithm design and analysis History Databases

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On the formulation, performance and design choices of Cost-Curve Occupancy Grids for stereo-vision based 3D reconstruction

On the formulation, performance and design choices of Cost-C...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Martim Brandao Ricardo Ferreira Kenji Hashimoto Jose Santos-Victor Atsuo Takanishi Graduate School of Advanced Science and Engineering Waseda University 41-304 17 Kikui-cho Shinjuku-ku Tokyo 162-0044 JAPAN Institute for Systems and Robotics Instituto Superior Tecnico Universidade de Lisboa Portugal Faculty of Science and Engineering Waeda University Department of Modern Mechanical Engineering Waseda University

ISBN: (纸本)9781479969357

We present a grid-based 3D reconstruction method which integrates all costs given by stereo vision into what we call a Cost-Curve Occupancy Grid (CCOG). Occupancy probabilities of grid cells are estimated in a Bayesian formulation, from the likelihood of stereo cost measurements taken at all distance hypotheses. This is accomplished with only a small set of probabilistic assumptions which we discuss in the paper. We quantitatively characterize the method's performance under different conditions of both image noise and number of used stereo pairs, compared also to traditional algorithms. We complement the study by giving insights on design choices of CCOGs such as likelihood model, window size of the cost function and use of a hole filling method. Experiments were made on a real-world outdoors dataset with ground-truth data.

关键词： Stereoviews three-dimensional displays Stereo pairs Vehicle Occupancy Cost functions image noise ground truth

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Analysis of TAx4 hybrid trigger and events 37

Analysis of TAx4 hybrid trigger and events

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37th International Cosmic Ray Conference, ICRC 2021

作者： Kim, Sang Woo Abbasi, R.U. Abu-Zayyad, T. Allen, M. Arai, Y. Arimura, R. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Iwasaki, A. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kharuk, I. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nakazawa, A. Nishio, E. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Oku, Y. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sano, K. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Tsunesada, Y. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. Department of Physics Sungkyunkwan University Jang-an-gu Suwon Korea Republic of Department of Physics Loyola University Chicago ChicagoIL United States High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University Nagano Nagano Japan The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan Astrophysical Big Bang Laboratory RIKEN Wako Saitama Japan Department of Physics SungKyunKwan University Jang-an-gu Suwon Korea Republic of Department of Physics Tokyo City University Setagaya-ku Tokyo Japan Institute for Nuclear Research The Russian Academy of Sciences Moscow Russia Faculty of Systems Engineering and Science Shibaura Institute of Technology Minato-ku Tokyo Japan Department of Engineering Science Faculty of Engineering Osaka Electro-Communication University Neyagawa-shi Osaka Japan Department of Physics Chiba University Chiba Chiba Japan Service de Physique Théorique Université Libre de Bruxelles Brussels Belgium Department of Physics Yonsei University Seodaemun-gu Seoul Korea Republic of Center for Astrophysics

The Telescope Array is the largest ultra-high energy cosmic ray hybrid detector in the Northern hemisphere. While the TAx4 Surface Detector (TAx4 SD) has a duty cycle of 100%, it should be noted that the TAx4 Fluorescence Detector (TAx4 FD) observes the full longitudinal profile of the cosmic ray air showers and therefore is able to determine their energies more accurately than TAx4 SD. In addition, observing cosmic rays in hybrid mode ("hybrid events") has several advantages. Events seen in hybrid mode by the TAx4 FD and SD are used to establish the energy scale of the TAx4 SD. Moreover, the FD longitudinal profile is used to determine the mass composition of the primary comic ray particles, when the event geometries are well constrained by FD and SD measurements simultaneously. Despite large differences in the TAx4 SD/FD standalone performances, both detector types complement each other in measuring important physical quantities. Since August 2019, direction, energy, and Xmax can be obtained from reconstructing hybrid events. In this poster, preliminary analysis of TAx4 hybrid trigger and TAx4 hybrid events will be presented with focus on energy and Xmax observations. © Copyright owned by the author(s).

关键词： Cosmic rays

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Water Monitoring Prototype Using Internet of Things Technology

Water Monitoring Prototype Using Internet of Things Technolo...

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International Conference on advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA)

作者： Anifatul Faricha Dimas Adiputra Isa Hafidz Moch. Iskandar Riansyah Billy Montolalu Lora Khaula Amifia Mochamad Fauzan Rasyid I.P. Moch. Bagus Abdulloh Hamid Nushfi Dimas Herjuno Department of Electrical Engineering Institut Teknologi Telkom Surabaya Surabaya Indonesia Department of Computer Engineering Institut Teknologi Telkom Surabaya Surabaya Indonesia Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Kitakyushu Japan

ISBN: (数字)9781728130903

ISBN: (纸本)9781728130910

In the digital era, the using of Internet of Things (IoT) is popular among the industrial revolution 4.0. This technology offers to integrate information from several entities at several sources which can be accessed at any places. In the water monitoring system, the conventional measurement leads the efficiency and complexity issues. Conventionally, to check the water quality, the researcher must come to the place to monitor the water directly or by analyzing it into Laboratory. Therefore, in this study, we apply this technology for a water monitoring system. In this system, to acquire water quality, there are several physical parameters which measured by sensor module such as temperature, pH, turbidity, and conductivity. Those parameters are transmitted to microcontroller i.e., Arduino MKR Wifi 1010 which has the Internet of Things platform. According to the result performances, our system successfully displays the water quality using IoT Platform. Hence, information about water quality can be monitored and accessed everywhere and anytime. According to the result analysis, the average value of temperature, conductivity, turbidity, and pH are 22.472°C, 309.78, 3.4963, and 6.19 respectively.

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