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26th Annual computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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Evidence-based Practice of Chinese Medicine in Physical Rehabilitation Science

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Chinese Journal of Integrative Medicine 2013年第10期19卷 723-729页

作者： Arthur de Sá Ferreira Laboratory of Computational Simulation and Modeling in Rehabilitation Program of Rehabilitation ScienceCentro Universitario Augusto MottaRio de JaneiroRJBrazil(21041-021) Department of Physical Therapy UniversidadeSalgado de OliveiraNiteróiRJBrazil(21041-021)

Chinese medicine is among other traditional medical systems practiced either as a coadjutant intervention to Greek medicine or as the unique therapeutic intervention for illness prevention, treatment or rehabilitation. The complete spectrum from that traditional system includes acupuncture and moxibustion, herbal and food therapy, massage therapy （tuina）, physical exercises （taijiquan）, and breathing exercises （qigong）. In this article, it is presented several randomized controlled trials and systematic reviews on the application of all therapeutic modalities from Chinese medicine in the physical rehabilitation scenario. The discussed studies encompasses both ＂positive＂ and ＂negative＂ results of Chinese medicine intervention for disabilities due to illnesses of the nervous, musculoskeletal or cardiovascular systems. Additionally, the importance of the personalized approach for Chinese medicineand rehabilitation is emphasized together with the need for reproducible methods for pattern differentiation and intervention selection. Chinese medicine resources are recognized as promising methods for therapeutic rehabilitation and can be incorporated into the rehabilitation science. The wide variety of therapeutic resources explains why Chinese medicine is currently a multidisciplinary practice for health protection and promotion, early diagnosis and treatment as well as rehabilitation with roles in the public health care system.

关键词： rehabilitation physical therapy Chinese medicine

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DFT Study of Proton Transfer in Methyl Urocanate and Butyl Urocanate

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Macromolecular Symposia 2015年第1期354卷

作者： Janchai Yana Suwabun Chirachanchai Chatchai Jarumaneeroj Vannajan Sanghiran Lee Kanchanok Kodchakorn Kohji Tashiro Piyarat Nimmanpipug Department of Chemistry Faculty of Science and Technology Chiang Mai Rajabhat University Chiang Mai 50300 Thailand Computational Simulation Modeling Laboratory (CSML) Department of Chemistry and Center of Excellence for Innovation in Chemistry and Materials Science Research Center Faculty of Science Chiang Mai University Chiang Mai 50200 Thailand The Petroleum and Petrochemical College Chulalongkorn University Bangkok 10330 Thailand Department of Chemistry Faculty of Science University of Malaya Kuala Lumpur 50603 Malaysia Department of Future Industry-Oriented Basic Science and Materials Toyota Technological Institute Nagoya 468-8511 Japan

Development of proton conductivity is necessary to improve polymer electrolyte efficiency of proton exchange membrane fuel cell (PEMFC) which is alternative environmentally friendly resource. Modification of polymer electrolyte has been employed using water free polymer instead of hydrated polymer membrane to disregard water loss problem at high temperature. Heterocycles such as imidazole and benzimidazole derivatives was considered for anhydrous membrane modification to encourage proton transfer in polymer electrolyte membrane. Alkyl urocanate was interested as a vehicle for proton transfer between side chains of polymer membrane. In this work, investigation of blending of butyl urocanate in polymer membrane to assist the proton transfer ability was carried out. Energy barrier of proton movement between alkyl urocanate was calculated. The preferred orientation of bimolecular alkyl urocanaetes was initiated by crystallographic data. The energies of various proton position in between neighbouring molecules were calculated to determine the barrier of proton transfer. The density function theory (DFT) with generalized gradient approximation (GGA) and BLYP function was used for calculation. The energy barrier of butyl urocanate was found lower than methyl urocanate corresponding to the previous experimental proton conductivity data.

关键词： alkyl urocanate energy barrier proton transfer

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Promoting integrative medicine by computerization of traditional Chinese medicine for scientific research and clinical practice: The SuiteTCM Project

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Journal of Integrative Medicine 2013年第2期11卷 135-139页

作者： Arthur de Sá Ferreira Laboratory of Computational Simulation and Modeling in Rehabilitation Post-graduation Program of Rehabilitation Science Augusto Motta University Center

BACKGROUND： Chinese and contemporary Western medical practices evolved on different cultures and historical contexts and, therefore, their medical knowledge represents this cultural divergence. Computerization of traditional Chinese medicine （TCM） is being used to promote the integrative medicine to manage, process and integrate the knowledge related to TCM anatomy, physiology, semiology, pathophysiology, and therapy. METHODS： We proposed the development of the SuiteTCM software, a collection of integrated computational models mainly derived from epidemiology and statistical sciences for computerization of Chinese medicine scientific research and clinical practice in all levels of prevention. The software includes components for data management （DataTCM）, simulation of cases （SimTCM）, analyses and validation of datasets （SciTCM）, clinical examination and pattern differentiation （DiagTCM, TongueTCM, and PulseTCM）, intervention selection （AcuTCM, HerbsTCM, and DietTCM）, management of medical records （ProntTCM）, epidemiologic investigation of sampled data （ResearchTCM）, and medical education, training, and assessment （StudentTCM）. DISCUSSION： The SuiteTCM project is expected to contribute to the ongoing development of integrative medicine and the applicability of TCM in worldwide scientific research and health care. The SuiteTCM 1.0 runs on Windows XP or later and is freely available for download as an executable application.

关键词： traditional Chinese medicine evidence-based practice computer-assisted decision making

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Adhesion Improvement via Surface Functionalization of Epoxy-Resin Base Post by Low Temperature Plasma

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Macromolecular Symposia 2015年第1期354卷

作者： Waleepan Rakitikul Vannajan Sanghiran Lee Piriya Yavirach Dheerawan Boonyawan Piyarat Nimmanpipug Department of Chemistry Faculty of Science Chiang Rai Rajabhat University 80/9 Paholyothin Road Ban Du Muang Chiang Rai 57100 Thailand Computational Simulation and Modeling Laboratory (CSML) Department of Chemistry Faculty of Science Chiang Mai University 239 Huaykaew Road Suthep Muang Chiang Mai 50200 Thailand Department of Chemistry Faculty of Science University of Malaya Kuala Lumpur 50603 Malaysia Department of Prosthodontic Faculty of Dentistry Chiang Mai University 239 Huaykaew Road Suthep Muang Chiang Mai 50200 Thailand Department of Physics Faculty of Science Chiang Mai University 239 Huaykaew Road Suthep Muang Chiang Mai 50200 Thailand

The adhesion between dental materials could be improved by an increase of interfacial polarity. In this study, low temperature plasma was used to treat an epoxy-based post. The surface modifications after treatment were characterized by X-ray photoelectron spectroscopy (XPS) which showed the existence of N, O- containing groups in the epoxy-based post. Furthermore, functionalization positions were proposed by Quantum Mechanic (QM) calculation. It could confirm the position that such a functional group was formed at hydroxyl group and alpha-carbon with an energy level around 93–97 kcal/mol through hydrogen abstraction reaction. Both experiments and calculations show consistent results indicating polar group formation on the surface after plasma treatments.

关键词： adhesion functionalization plasma reaction pathway

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Multiple vehicles' license plate tracking and recognition via isotropic dilation

Multiple vehicles' license plate tracking and recognition vi...

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International Conference on computational Intelligence, Communication Systems and Networks

作者： Angeline, Lorita Khong, Wei Leong Wong, Farrah Saad, Ismail Teo, Kenneth Tze Kin Modeling Simulation and Computational Algorithm Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769544823

In this paper, a new algorithm for Automatic License Plate Localisation and Recognition (ALPR) is proposed on the basis of isotropic dilation that can be achieved using the binary image Euclidean distance transform. In a blob analysis problem, any two Region of Interest (RoIs) that is discontinuous are typically treated as separate blobs. However, the proposed algorithm combine with Connected Component Analysis (CCA) are coded to seek for RoI within a certain distance of other RoI to be treated as non-unique. This paper investigates the design and implementation of several pre-processing techniques and isotropic dilation algorithm to classify moving vehicles with different backgrounds and varying angles. A multi-layer feed-forward back-propagation Neural Network is used to train the segmented and refined characters. The results obtained can be used for implementation in the vehicle parking management system. © 2011 IEEE.

关键词： Binary images

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Exploring Q-learning optimization in traffic signal timing plan management

Exploring Q-learning optimization in traffic signal timing p...

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International Conference on computational Intelligence, Communication Systems and Networks

作者： Chin, Yit Kwong Lee, Lai Kuan Bolong, Nurmin Yang, Soo Siang Teo, Kenneth Tze Kin Modeling Simulation and Computational Algorithm Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769544823

Traffic congestions often occur within the entire traffic network of the urban areas due to the increasing of traffic demands by the outnumbered vehicles on road. The problem may be solved by a good traffic signal timing plan, but unfortunately most of the timing plans available currently are not fully optimized based on the on spot traffic conditions. The incapability of the traffic intersections to learn from their past experiences has cost them the lack of ability to adapt into the dynamic changes of the traffic flow. The proposed Q-learning approach can manage the traffic signal timing plan more effectively via optimization of the traffic flows. Q-learning gains rewards from its past experiences including its future actions to learn from its experience and determine the best possible actions. The proposed learning algorithm shows a good valuable performance that able to improve the traffic signal timing plan for the dynamic traffic flows within a traffic network. © 2011 IEEE.

关键词： Traffic congestion

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Adaptive tracking of overlapping vehicles via Markov Chain Monte Carlo with CUSUM path plot algorithm

Adaptive tracking of overlapping vehicles via Markov Chain M...

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International Conference on computational Intelligence, Communication Systems and Networks

作者： Kow, Wei Yeang Khong, Wei Leong Wong, Farrah Saad, Ismail Teo, Kenneth Tze Kin Modeling Simulation and Computational Algorithm Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769544823

Vehicle detection and tracking is essential in traffic surveillance and traffic flow optimization. However, occlusion or overlapped vehicle tracking is difficult and remain a challenging research topic in image processing. In this paper, a conventional Markov Chain Monte Carlo (MCMC) is enhanced via Cumulative Sum (CUSUM) path plot in order to track vehicles in overlapping situation. By calculating the hairiness of CUSUM path plot, MCMC can be diagnosed as converged based on its sampling outputs. Varying sample size of MCMC provides enhancement to the tracking performance and capability of overcoming the limitation of conventional fix sample size algorithm. In addition, implementation of m-th order prior probability distribution and fusion of color and edge distance likelihood have further improved the tracking accuracy. MCMC with fixed sample size and CUSUM path plot are implemented and their corresponding performances are analyzed. Experimental results show that MCMC with CUSUM path plot has better performance where it is able to track the overlapped vehicle accurately with lesser processing time. © 2011 IEEE.

关键词： Vehicles

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Enhancement of particle filter approach for vehicle tracking via adaptive resampling algorithm

Enhancement of particle filter approach for vehicle tracking...

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International Conference on computational Intelligence, Communication Systems and Networks

作者： Khong, Wei Leong Kow, Wei Yeang Wong, Farrah Saad, Ismail Teo, Kenneth Tze Kin Modeling Simulation and Computational Algorithm Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769544823

Nowadays, vehicle tracking is a vital approach to assist and improve the road traffic control, surveillance and security systems by having the detail of the captured vehicle information. In past, many tracking techniques have been implemented and suffered from the well known 'occlusion' problems. Increasing the accuracy of the tracking algorithm has caused the computational cost due to the inflexibility to adapt the partial and fully occluded situations. Besides occlusion, appearance of new objects and background noises in the captured videos increase the difficulties of continuously tracking the labelled vehicles. In this paper, an adaptive particle filter approach has been proposed as the tracking algorithm to solve the vehicle occlusion problem. In order to solve the common particle filter degeneracy problem, the proposed particle filter is equipped with the adaptive resampling algorithm which is capable of dealing with various occlusion incidents. The experimental results show that enhancement of the particle filter via resampling algorithm has been robustly tracking the vehicles, and significantly improve the accuracy in tracking the occluded vehicles without compromising the processing time. © 2011 IEEE.

关键词： Vehicles

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Maximum power point tracking for PV array under partially shaded conditions

Maximum power point tracking for PV array under partially sh...

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International Conference on computational Intelligence, Communication Systems and Networks

作者： Chin, Chia Seet Neelakantan, Prabhakaran Yoong, Hou Pin Yang, Soo Siang Teo, Kenneth Tze Kin Modeling Simulation and Computational Algorithm Laboratory School of Engineering and Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

ISBN: (纸本)9780769544823

Solar photovoltaic (PV) array which is exposed to the uniform solar irradiance shows the non-linear P-V characteristic. Nevertheless, the P-V characteristic becomes more complex with multiple maximum power point (MPP) when the array is operated under partially shaded condition. Conventional maximum power point tracking (MPPT) approach which is designed to track the MPP will be trapped at the local MPP. Therefore, one of the challenges is to continuously track the absolute MPP while the environmental factors such as solar irradiation, PV temperature and partial shaded condition are rapidly changing. This paper presents a novel method of parallel tracking function to assist the on-line fuzzy logic perturb and observe (P&O) MPPT to continuously search beyond the trapped MPP operating voltage point. The information of PV array such as the operating voltage and the corresponding generation current are stored in the database. The characteristics of the shaded array can be estimated via simulation and the absolute MPP is identified via the tracking function. The simulation results show that the enhanced fuzzy logic P&O MPPT is capable of tracking the real absolute MPP during the partially shaded condition. © 2011 IEEE.

关键词： Fuzzy logic

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