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IEEE Symposium on Nuclear science (NSS/MIC)

作者： T. Onodera K. Hitomi T. Tada T. Shoji K. Mochizuki Department of Electronics and Intelligent Systems Tohoku Institute of Technology Sendai Japan Cyclotron and Radioisotope Center Tohoku University Rokkasho Japan Department of Tnformation Technology and Electronics Faculty of Science and Engineering Ishinomaki Senshu University Ishinomaki Japan

Thallium bromide (TIBr) has been regarded as candidate detector materials for the gamma-ray spectrometers operating at room temperature. In this study, a simple and rapid method, the filter method, was performed to purify a raw TIBr material used for fabrication of TIBr detectors. The material was loaded on shards of crushed quartz and installed in a Pyrex tube, and was melted using a furnace. A purified material passing through interspaces of the shards of quartz was collected in a quartz ampoule located at the outlet of the Pyrex tube. After the purification, impurities colored black extracted from the raw material remained. TlBr crystals were then grown by the travelling molten zone method both from the raw material and the purified material. TlBr detectors were fabricated from the grown crystals, and were characterized by measuring mobility-lifetime products (μτ) for carriers and gamma-ray spectra ( 137 Cs) at room temperature. μτ for electrons of a TlBr detector fabricated from the purified material was around 5 times higher than that of a detector fabricated from the raw material.

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Adaptive Learning with Large Variability of Teaching Signals for Neural Networks and Its Application to Motion Control of an Industrial Robot

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International Journal of Automation and computing 2011年第1期8卷 54-61页

作者： Fusaomi Nagata Keigo Watanabe Department of Mechanical Engineering Faculty of Engineering Tokyo University of Science Department of Intelligent Mechanical Systems Graduate School of Natural Science and Technology Okayama University

Recently, various control methods represented by proportional-integral-derivative （PID） control are used for robotic control. To cope with the requirements for high response and precision, advanced feedforward controllers such as gravity compensator, Coriolis/centrifugal force compensator and friction compensators have been built in the controller. Generally, it causes heavy computational load when calculating the compensating value within a short sampling period. In this paper, integrated recurrent neural networks are applied as a feedforward controller for PUMA560 manipulator. The feedforward controller works instead of gravity and Coriolis/centrifugal force compensators. In the learning process of the neural network by using back propagation algorithm, the learning coefficient and gain of sigmoid function are tuned intuitively and empirically according to teaching signals. The tuning is complicated because it is being conducted by trial and error. Especially, when the scale of teaching signal is large, the problem becomes crucial. To cope with the problem which concerns the learning performance, a simple and adaptive learning technique for large scale teaching signals is proposed. The learning techniques and control effectiveness are evaluated through simulations using the dynamic model of PUMA560 manipulator.

关键词： Neural networks large-scale teaching signal sigmoid function adaptive learning servo system PUMA560 manipulator trajectory following control nonlinear control.

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Erratum to: The quantum dynamic capacity formula of a quantum channel;Public and private resource trade-offs for a quantum channel

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Quantum Information Processing 2012年第6期11卷 1503-1509页

作者： Mark M. Wilde Min-Hsiu Hsieh School of Computer Science McGill University Montreal Canada ERATO-SORST Quantum Computation and Information Project Japan Science and Technology Agency Tokyo Japan Statistical Laboratory University of Cambridge Cambridge UK Centre for Quantum Computation and Intelligent Systems (QCIS) Faculty of Engineering and Information Technology (FEIT) University of Technology Sydney (UTS) Sydney Australia

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Inkjet printing of chemiresistive sensors based on polymer and carbon nanotube networks

Inkjet printing of chemiresistive sensors based on polymer a...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： P. Lorwongtragool E. Sowade T. N. Dinh O. Kanoun T. Kerdcharoen R. R. Baumann Faculty of Science Materials Science and Engineering Programme and Center of Intelligent Materials and Systems (CIMS) Mahidol University Bangkok Thailand Institute for Print and Media Technology Department of Digital Printing and Imaging Technology Chemnitz University of Technology Chemnitz Germany Measurement and Sensor Technology Chemnitz University of Technology Chemnitz Germany Faculty of Science Department of Physics Mahidol University Bangkok Thailand

ISBN: (纸本)9781467315906

We report about the manufacturing of sensor devices for detection of volatile organic compounds (VOCs) in the air. The sensor comprises three fully inkjet-printed layers of (i) silver interdigitated electrodes (SIDE), (ii) multi-walled carbon nanotubes (MWCNTs) and (iii) poly (styrene-co-maleic acid) partial isobutyl/methyl mixed ester (PSE). We have found that inkjet printing of MWCNT layers and a PSE layer on top yields an interfacial layer leading to the formation of a MWCNTs/PSE composite-like structure. The printed layers act as chemiresistive vapor sensors due to the change of electrical resistance in presence of selected VOCs. The sensor responses to various VOCs were studied by varying the concentration of the chemicals in the air between 50 and 500 ppm. The sensing mechanism can be understood as a fractional volume change of the inkjet-printed polymer that occurs during exposure to VOCs, resulting in a structural alteration of the MWCNT-polymer network. We have found that the sensor response can be defined as a function of the VOC's concentration. To investigate the morphologies of the inkjet-printed thin films, profilometry and scanning electron microscopy (SEM) were employed.

关键词： Chemical sensors Printing Polymers Resistance Carbon nanotubes Gas detectors

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Shear Banding in an F-Actin Solution

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Physical Review Letters 2012年第24期109卷 248303-248303页

作者： Itsuki Kunita Katsuhiko Sato Yoshimi Tanaka Yoshinori Takikawa Hiroshi Orihara Toshiyuki Nakagaki Department of Complex and Intelligent Systems Faculty of Systems Information Science Future University Hakodate Kameda-nakano 116-2 Hakodate 041-8655 Japan RIKEN Center for Developmental Biology Minatojima Minami 2-2-3 Kobe 650-0047 Japan Department of Mechanical Engineering and Material Science Yokohama National University Tokiwadai 79-5 Hodogaya Yokohama 240-8501 Japan Division of Applied Physics Faculty of Engineering Hokkaido University N13W8 Sapporo 060-8628 Japan JST CREST 5 Sanbancho Chiyoda-ku Tokyo 102-0075 Japan

We report herein the first evidence that an F-actin solution shows shear banding, which is characterized by the spontaneous separation of homogeneous shear flow into two macroscopic domains of different definite shear rates. The constant shear stress observed in the F-actin solution is explained by the banded flow with volume fractions that obey the lever rule. Nonhomogenous reversible flows were observed in the F-actin solution with respect to upward and downward changes in the shear rate. This is the first time shear banding has been observed in a simple biomacromolecule. The biological implications and dynamic aspects of shear flow velocity characteristic patterns are discussed.

关键词： ACTIN SOLUTION (Chemistry) BENDING stresses SHEAR (Mechanics) BIOMOLECULES

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Internet based crossover robot remote control competition among Asian countries — Development of practice based innovative education methodology, phase V

Internet based crossover robot remote control competition am...

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IEEE International Conference on Mechatronics and Automation

作者： C. Xu A. Ming C. Kanamori H. Aoyama H. Li L. Xu X. Li T. Benjanarasuth S. Nundrakwang B. Purahong C.-C. Wong Department of Mechanical Engineering & Intelligent Systems The University of Electro-Communications Chofu Tokyo Japan Institute of Astronautics & Aeronautics University of Electronic Science & Technology of China Chengdu Sichuan China Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Electrical Engineering Tamkang University Taipei Taiwan

We introduce 2011's progress and achievements of an internet based crossover robot remote control competition between Japan and China, Thailand, and Taiwan respectively. The competition project has two subjects: the competition itself and the student-student communication and cooperation. The basic competition mode is a remotely controlled robot via the internet cooperates with a locally controlled robot to finish a specified task and, as a unique feature of the project, the student-student communication and cooperation is trained through a crossover team organization style that each team is organized by two groups from different universities and the team members required to cooperate with each other via the internet to make robots and deal with competition affairs. Our experience shows the competition benefits not only students' technical skills but also their various no-technical skills and is expected to promote the development of a practice based university education methodology in the future.

关键词： Robots Educational institutions Internet Software Hardware Organizations

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Supporting English course with mobile devices: How can we learn vocabulary seamlessly?

Supporting English course with mobile devices: How can we le...

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19th International Conference on Computers in Education, ICCE 2011

作者： Uosaki, Noriko Ogata, Hiroaki Sugimoto, Taro Hou, Bin Li, Mengmeng Yano, Yoneo Dept. of Information Science and Intelligent Systems Faculty of Engineering University of Tokushima Japan

ISBN: (纸本)9786161201883

We proposed SMALL system as a blue print seeking for seamless language learning in our previous study. In this paper, we describe how far we have developed the system for the realization of intertwining in-class formal learning with outside-class self-learning. As our first step, the target has been English vocabulary learning, since vocabulary learning is one of the fundamental aspects of language learning. We also aim to create a knowledge-aware virtual learning community to promote P2P interaction in our seamless learning environment.

关键词： Computer aided instruction

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Seeking for seamless language learning: How can we entwine formal learning with informal learning?

Seeking for seamless language learning: How can we entwine f...

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19th International Conference on Computers in Education, ICCE 2011

作者： Uosaki, Noriko Ogata, Hiroaki Sugimoto, Taro Hou, Bin Li, Mengmeng Yano, Yoneo Dept. of Information Science and Intelligent Systems Faculty of Engineering University of Tokushima Japan

ISBN: (纸本)9786161201883

We proposed SMALL system seeking for seamless language learning in our previous study [1]. In this paper, we describe how far we have developed the system for the realization of seamless learning. As our first step, we aim to support English vocabulary learning, since vocabulary learning is one of the fundamental aspects of language learning. We also aim to create a knowledge-aware virtual learning community to promote P2P interaction in our seamless learning environment. Before the actual use of the system in a classroom environment, a pilot experiment was conducted, which shows that we need to change some functions in our system.

关键词： Computer aided instruction

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Robotics cloud and robotics school

Robotics cloud and robotics school

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7th International Conference on Natural Language Processing and Knowledge engineering, NLP-KE 2011

作者： Ren, Fuji Department of Information Science and Intelligent Systems Faculty of Engineering University of Tokushima 770-8506 Tokushima Japan

ISBN: (纸本)9781612847283

In the near future, robots with advanced intelligence will be used for the service of society, families, and individuals. In this paper, we propose the concept of an advanced intelligence machine, which is a device that uses both natural and artificial intelligence and is capable of affective recognition and generation of affective speech and behavior. We describe the concept of a "robotics cloud" for use by advanced intelligence machines in human-robot interactions and provide a theoretical framework and technology blueprint of the construction of a robotics cloud. In addition, we propose a "robotics school" for building robotics clouds and describe a framework for the school, its certification program, and a method for authentication of the school. The influence of robots on the development of society, scientific and technological progress, and human-robot relationships are also discussed. © 2011 IEEE.

关键词： Human robot interaction

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Pusher Reheating Furnace Control Via Fuzzy-Neural Model Predictive Control Synthesis

Pusher Reheating Furnace Control Via Fuzzy-Neural Model Pred...

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IEEE International Conference intelligent systems

作者： Goran Stojanovski Mile Stankovski Imre J. Rudas Juanwei Jing Faculty of Electrical Eng. & Information Technologies Karpos 2 SS Cyril & Methodius University Skopje MK-1000 R. of Macedonia Institute of Intelligent Engineering Systems óbuda University Bécsi út 96/B H-1034 Budapest Hungary College of Information Science and Engineering Institute of Control Theory & Navigation Technology Northeastern University Shenyang Liaoning 100006 P.R. of China

ISBN: (纸本)9781467322768

A design of fuzzy model-based predictive control for industrial furnaces has been derived and applied to the model of three-zone 25 MW RZS pusher furnace at Skopje Steelworks. The fuzzy-neural variant of Sugeno fuzzy model, as an adaptive neuro-fuzzy implementation, is employed as a predictor in a predictive controller. In order to build the predictive controller the adaptation of the fuzzy model using dynamic process information is carried out. Optimization procedure employing a simplified gradient technique is used to calculate predictions of the future control actions.

关键词： Fuzzy-neural models fuzzy model predictive control optimization set-point control time-delay processes. fuzzy modeling Predictive controllers Model predictive control dial steel machine Industrial furnaces Reheating furnaces Optimization Procedure Predictive control Pusher furnaces Steel plants

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