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

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 University of Electro-Communications Chofu Tokyo Japan Institute of Astronautics & Aeronautics University of Electronic Science and Technology Chengdu Sichuan China Faculty of Engineering King Mongkut''s Institute of Technology Ladkrabang Bangkok Thailand Department of Electrical Engineering Tamkang University Taipei Taiwan

We report the up-to-date progress of an internet based crossover robot remote control competition project starting from 2007, which is an international cooperative education program among Japan, China, Thailand, and Taiwan. The project contains two sub-subjects: the robot competition and the student-student cooperation among the participating universities. The competition is designed to be remotely controlling a robot via the internet to cooperate/compete with a locally controlled robot to finish some specified tasks where both robots are made by the students. The unique feature of the project is that everything concerned with the competition, e.g. the competition rules, the detailed technical problems, etc., are discussed and solved by the students themselves via the internet based cooperation. The demonstration of the competition between UEC and each of the partner universities proves the project helps to improve students' practical ability, innovative skills, good teamwork spirit, and communication skills, etc.

关键词： Internet Containers Humanoid robots Education Computer architecture Biological system modeling

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Tuberculosis bacilli detection in Ziehl-Neelsen-stained tissue using affine moment invariants and Extreme Learning Machine

Tuberculosis bacilli detection in Ziehl-Neelsen-stained tiss...

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International Colloquium on Signal Processing & Its Applications, CSPA

作者： M. K. Osman M. Y. Mashor H. Jaafar Faculty of Electrical Engineering Universiti Teknologi MARA Malaysia Electronic & Biomedical Intelligent Systems (EBItS) Research Group School of Mechatronic Engineering Universiti Malaysia Pedis Arau Perlis Malaysia Department of Pathology School of Medical Science Universiti Sains Islam Malaysia Kubang Kerian Kelantan Malaysia

This paper describes an approach to automate the detection and classification of tuberculosis (TB) bacilli in tissue section using image processing technique and feedforward neural network trained by Extreme Learning Machine. It aims to assist pathologists in TB diagnosis and give an alternative to the conventional manual screening process, which is time-consuming and labour-intensive. Images are captured from Ziehl-Neelsen (ZN) stained tissue slides using light microscope as it is commonly used approach for diagnosis of TB. Then colour image segmentation is used to locate the regions correspond to the bacilli. After that, affine moment invariants are extracted to represent the segmented regions. These features are invariant under rotation, scale and translation, thus useful to represent the bacilli. Finally, a single layer feedforward neural network (SLFNN) trained by Extreme Learning Machine (ELM) is used to detect and classify the features into three classes: `TB', `overlapped TB' and `non-TB'. The results indicate that the ELM gives acceptable classification performance with shorter training period compared to the standard backpropagation training algorithms.

关键词： Training Signal processing algorithms Image segmentation Classification algorithms Microscopy Image color analysis Machine learning

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Characterization of thallium bromide chloride crystals for radiation detectors

Characterization of thallium bromide chloride crystals for r...

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IEEE Symposium on Nuclear science (NSS/MIC)

作者： T. Onodera K. Hitomi C. Onodera T. Shoji K. Mochizuki Department of Electronics and Intelligent Systems Tohoku Institute of Technology Sendai Japan Cyclotron and Radioisotope Center University of Tohoku Rokkasho Japan Electronic Engineering Course Aomori Prefectural Towada Technical Senior High School Towada Japan Department of Information Technology and Electronics Faculty of Science and Engineering Ishinomaki Senshu University Ishinomaki Japan

Thallium bromide chloride (TlBr x Cl 1-x ) crystals have been evaluated as a material used for fabrication of room temperature radiation detectors. In this study, TlBr x Cl 1-x crystals with various chlorine (Cl) concentrations were grown by the travelling molten zone method and the detectors were fabricated from the crystals. The optical properties of the crystals were evaluated by measuring the transmittances. The charge transport properties were characterized by the Hecht analysis. The band gap energy of the crystals proportionally increased with Cl concentration. Mobility-lifetime products (μ(τ) of the crystals decreased with increasing Cl concentration.

关键词： Crystals Optical device fabrication Detectors Diffraction Optical diffraction Gold

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An optical artificial nose system for odor classifications based on LED arrays

An optical artificial nose system for odor classifications b...

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International Conference on Electrical engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON

作者： Sumana Kladsomboon Mario Lutz Tawee Pongfay Teerakiat Kerdcharoen Department of Physics and Center of Nanoscience Faculty of Science Mahidol University Bangkok Thailand Materials Science and Engineering Programme Center of Intelligent Materials and Systems (CIMS) Mahidol University Bangkok Thailand Nanoelectronics and MEMS Laboratory National Electronics and Computer Technology Center (NECTEC) 112 Thailand Science Park Pahol Yothin Rd. Pathumthani 12120 Thailand National Nanotechnology Center Mahidol University Thailand

Optical electronic nose (olfactory sensing) technologies have recently become a convenient technique to identify the quality of food and beverage products based on the odor classification. In this paper, we reported an optical-based electronic nose system consisting of thin-film sensing materials, array of light emitting diode (LED), photo-detector and pattern recognition program. The organic mixtures thin film gas sensor was prepared by spin coating of Zinc-2,9,16,23- tetra-tert-butyl 29H,31H-phthalocyanine (ZnTTBPc), Zinc-5,10,15,20-tetra-phenyl-21H,23H-porphyrin (ZnTPP) and manganese(III) 5, 10, 15, 20-tetraphenyl-21H,23H-porphyrin chloride (MnTPPCI) onto a clean glass substrate. The electronic nose system was developed by using the low-cost LED array as a light source. Then the light intensity that is transmitted through the organic thin film during the experiment was detected by the color light to frequency converter device (photo-detector). The ability of this system was tested by using volatile organic compound (VOCs) vapors such as methanol, ethanol, and isopropanol. Principal component analysis (PCA) has been used as the pattern recognition for this electronic nose system. The result confirms that the sensing layer that composed of the three types of organic compounds described the groups of chemical vapors by using the array of LED.

关键词： Photonics Optical variables measurement Optical sensors Methanol

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Decentralized Task Sequencing and Multiple Mission Control for Heterogeneous Robotic Networks

Decentralized Task Sequencing and Multiple Mission Control f...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Donato Di Paola Andrea Gasparri Giovanni Ulivi David Naso Frank L. Lewis Institute of Intelligent Systems for Automation (ISSIA) National Research Council (CNR)70126 BariI Faculty of Engineering Computer Science and Automation DepartmentUniversity "Roma Tre"00146 RomeI Department of Electrical and Electronic Engineering (DEE) Polytechnic of Bari70126 BariItaly the Automation and Robotics Research Institute University of Texas at ArlingtonFort WorthTX 76118-

In this paper a novel decentralized approach for task sequencing within a multiple missions control framework is presented. The main contribution of this work concerns the decentralization of a control framework for multiple mission execution in order to enhance the robustness of the system, and the application of the latter to a heterogeneous robotic network. The proposed approach is based on the Matrixbased Discrete Event Framework (MDEF). This formalism is adapted to networks of heterogeneous robots, i.e., robots with different capabilities, and to the decentralized control of mission execution using a consensus-based approach which guarantees the agreement among robots on executed actions and their consequences.

关键词： Mathematical model Equations Resource management Robot sensing systems Availability Multiagent systems

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Supporting an English course using handhelds in a seamless learning environment

Supporting an English course using handhelds in a seamless l...

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18th International Conference on Computers in Education, ICCE 2010

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

ISBN: (纸本)9789834251246

In this paper, we propose mobile-assisted seamless vocabulary learning and present learning scenarios seeking smooth and seamless transitions between learning in-class and out-class, incorporating students' self-directed learning into classroom activities so that learning both in-class and out-class interacts with each other, which is ultimately expected to result in effective and fruitful vocabulary learning. Two experiments using mobile devices are proposed to find out some answers to the following questions: (1) Does the use of mobile devices support seamless English vocabulary learning? (2) Can the additional contents recommended by the system help linking in-class and out-class vocabulary learning.

关键词： Students

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Seamless vocabulary learning in english course using mobile devices

Seamless vocabulary learning in english course using mobile ...

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18th International Conference on Computers in Education, ICCE 2010

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

ISBN: (纸本)9789834251239

In this paper, we propose mobile-assisted vocabulary learning and present learning scenarios seeking smooth and seamless transitions between learning in-class and outside-class, incorporating students' self-learning into classroom activities, which is expected to result in effective vocabulary learning. Two experiments using mobile devices are proposed to find out some answers to the following questions: (1) Does the use of mobile devices support seamless English vocabulary learning? (2) Can the additional adaptive contents recommended by the system help vocabulary learning?

关键词： Students

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Texture image retrieval based on gray-primitive co-occurrence matrix

Texture image retrieval based on gray-primitive co-occurrenc...

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International Conference on Natural Language Processing and Knowledge engineering

作者： Wang, Wei Suzuki, Motoyuki Ren, Fuji Dept. of Info. Science and Intelligent Systems Faculty of Engineering University of Tokushima Tokushima Japan

ISBN: (纸本)9781424468966

The research of texture similarity is very important component of content-based image retrieval system. Firstly the rotation invariance of gray-primitive co-occurrence matrix was proved in this paper, then a new texture image retrieval technique based on gray-primitive co-occurrence matrix was presented. The result of experiment indicates that the algorithm proposed has low computational complexity and certain noise resisting ability. ©2010 IEEE.

关键词： Image texture

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Project selection with interval-valued fuzzy numbers

Project selection with interval-valued fuzzy numbers

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International Symposium on Computational Intelligence and Informatics

作者： Christer Carlsson Robert Fullér József Mezeiz IAMSR Abo Akademi University Abo Finland Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Óbuda University Budapest Hungary IAMSR Åbo Akademi University Abo Finland John von Neumann Obuda University Budapest Hungary Turku Centre for Computer Science Joukahaisenkatu 3-5 B FIN-20520 Åbo Finland

We introduce a possibilistic mean value for interval-valued fuzzy numbers as the arithmetic mean of the possibilistic mean values of its upper and lower fuzzy numbers. Furthermore, we suggest a ranking method for interval-valued fuzzy numbers based on their possibilistic mean value and show an application to capital budgeting decisions when the revenues from projects are represented by interval-valued trapezoidal fuzzy numbers.

关键词： Fuzzy sets Electronic mail Decision making Informatics Computational intelligence Linearity Probabilistic logic

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Quantification of the human ability to identify fragmented letters through visual interpolation

Transactions of Japanese Society for Medical and Biological ...

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Transactions of Japanese Society for Medical and Biological engineering 2010年第4期48卷 369-376页

作者： Jiang, Yinlai Ikegami, Masanaga Yanagida, Hirotaka Takahashi, Tatsuhisa Wang, Shuoyu Department of Intelligent Mechanical Systems Engineering Kochi University of Technology Department of Psychology Asahikawa Medical College Department of Informatics Faculty of Engineering Yamagata University Department of Mathematical Information Science Asahikawa Medical College

To quantify a subjects skill at visual interpolation, as in the identification of incomplete letters, we developed a new computer-based system for presenting fragmented letters of the English alphabet. Using this system, we examined the quantitative relationship between the fragmentation of letters and their correct identification in six healthy young male subjects. The 26 letters (black, 72-point, MSP Gothic) were randomly displayed one by one on the screen of a personal computer: each letter appeared once per test. Each of the letters was presented within a square (128 × 128 pixels) against a white background for 200 ms. The fragmented letters were produced by randomly removing pixels from complete letters using three different modes of elimination: removal of single dots or small and large rectangles with random rotation. The complete and fragmented letters were evaluated with respect to the density of information provided by the pixels that constituted the letters according to information theory. There was a direct correlation between the percentage of pixels removed from the complete letters and the density of information about the removed pixels. The scores for the correct identification of fragmented letters with dot elimination remained at almost 100% correct identification regardless of the percentage of pixels removed. In contrast, the correct identification scores with the elimination of large rectangles decreased with the removal of 70%, 80%, 86%, 90%, and 92% of pixels. The correct identification scores for the elimination of small rectangles fell between the scores for the other elimination modes. These results suggest that the identification of fragmented letters could be related to the recognition of structures in which imaginary lines exist between closest pixels, within some limited distance between existing pixels. The evaluation of fragmented-letter identification using this system may be useful for quantifying the capability of visual interpolat

关键词： Pixels

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