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Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Babajani-Feremi, Abbas Bowyer, Susan Moran, John Elisevich, Kost Podell, Kenneth Soltanian-Zadeh, Hamid Image Analysis Lab. Radiology Department Henry Ford Hospital Detroit MI 48202 United States Neuromagnetism Lab. Neurology Department Henry Ford Hospital Detroit MI 48202 United States Department of Neurology Henry Ford Hospital Detroit MI 48202 United States Division of Neuropsychology and Sports Concussion Safety Program Henry Ford Hospital Detroit MI 48202 United States Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department University of Tehran Tehran 14395-515 Iran

ISBN: (纸本)9780819475138

Functional magnetic resonance imaging (fMRI) has complementary spatiotemporal resolution compared to Electroencephalography (EEG) as well as Magnetoencephalography (MEG). Thus, their integrated analysis should improve the overall resolution. To integrate analysis of E/MEG and fMRI, we extend our previously proposed integrated E/MEG and fMRI neural mass model to a multi-area model by defining two types of connections: the Short-Range Connections (SRCs) between minicolumns within the areas and Long-Range Connections (LRCs) between inter-areas minicolumns. The nonlinear input/output relationship in the proposed model is derived from the state space representation of the multi-area model. The E/MEG signals are originated from the overall synaptic activities of the pyramidal cells of all minicolumns and can be calculated using the lead field matrix (i.e., forward electromagnetic model). The fMRI signal is extracted from the proposed integrated model by calculating the overall neural activities in the areas and using it as the input of the extended balloon model (EBM). Using the simulation results, the capabilities of the proposed model to generate E/MEG and fMRI signals is shown. In addition, changes in the dynamics of the model to variations of its parameters were evaluated and lead us to the appropriate ranges for the parameters. In conclusion, this work proposes an effective method to integrate E/MEG and fMRI for the more effective use of these techniques in functional neuroimaging. © 2009 SPIE.

关键词： Electroencephalography

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Building domain independent ontology for web 2.0

Building domain independent ontology for web 2.0

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8th IEEE International Conference on Computer and Information Technology Workshops, CIT Workshops 2008

作者： Enkhbold, Nyamsuren Choi, Ho-Jin Intelligent Software Engineering and Robotics Lab. Information and Communications University Daejeon Korea Republic of

ISBN: (纸本)9780769533391

In this paper we are proposing an information integration approach based on minimalist-upper ontology that can be applied among Web 2.0 applications. Instead of following conventional ontology engineering principles we are proposing to facilitate the use of collective intelligence, one of the major locomotives of Web 2.0, for the development of minimalist-upper ontology that can be shared among more specific domain ontologies thereby facilitating information exchange and integration. © 2008 IEEE. DOI 10.1109/CIT.2008. Workshops.103.

关键词： Ontology

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Preface of the 2010 IAENG International Conference on Electrical engineering special session: Design, analysis and tools for integrated circuits and systems

Proceedings of the International MultiConference of Engineer...

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Proceedings of the International MultiConference of Engineers and Computer Scientists 2010, IMECS 2010 2010年 1333-1335页

作者： Man, Ka Lok Mercaldi, Michele Hahanov, Vladimir Prinetto, Paolo Poncino, Massimo MacIi, Alberto Choi, Joongho Li, Wei Schellekens, Michel Popovici, Emanuel Seon, Jong-Kug Rossi, Umberto Fummi, Franco Pravadelli, Graziano Lam, Yui Fai PavLov, Vladimir Patel, Ajay Huang, Jinfeng Vallee, Thierry Boubekeur, Menouer Sokolova, Ana Almerares, Sergio Donno, Monica Cho, Jun-Dong Zahirul Alam, A.H.M. Provan, Gregory Velev, Miroslav N. Uddin, M. Nasir Botchkarev, Alexei Bosnacki, Dragan Hickey, Dave O'Keeffe, Maria Krilavičius, Tomas Pastrnak, Milan Herbert, John Lu, Zhe-Ming Pan, Jeng-Shyang Chang, Chin-Chen Horng, Mong-Fong Chen, Liang Lim, Chee-Peng Tao, Ngo Quoc Deb, Suash Merniz, Salah Valero, Oscar Yi, Yang Woods, Damien Vedrine, Franck Monsuez, Bruno Yen, Kang Matsuura, Takenobu Edwards, R. Timothy Tveretina, Olga Fino, Maria Helena O'Riordan, Adrian Patrick lab.ak, Grzegorz Gaur, M.S. Chang, Jian Chung, Yeh-Ching Derezinska, Anna Cho, Kyoung-Rok Zhang, Yong Liutkevičius, R. Zeng, Yuanyuan Vasudevan, D.P. Bukowiec, Arkadiusz Kitsos, Paris Goudarzi, Maziar Dong, Jin Song Bhalla, Ateet Al-Khalili, Dhamin Navabi, Zainalab.din Zinchenko, Lyudmila Anjum, Muhammad Almas Narasimha, Deepak Laxmi Hughes, Danny Tadjouddine, Emmanuel M. Wang, Jun Kumar, A.P. Sathish Jaisankar, N. Mansoor, Atif Hollands, Steven Mohammadi, Siamak Klein, Felipe Westermann, Peter English, Tom Planas, Miquel Moreto Chung, Chelho Chakrabarti, Amlan Lei, Chi-Un Bamakhrama, Mohamed Naik, B. Rajendra Harte, Sean Yin, Alexander Giancardi, Luigi El-Din Mady, Alie Joseph, Arun Khandekar, Prasad D. Pandey, Hari Mohan Bharti, Vishal O'Mullane, Monica Chen, Chen Xi'an Jiaotong University China Liverpool University United Kingdom Kharkov National University of Radio Electronics Ukraine Politecnico di Torino Italy University of Seoul Korea Republic of Fudan University China Tyndall University College Cork Ireland System LSI Lab. LS Industrial Systems R and D Center Korea Republic of STMicroelectronics Italy University of Verona Italy Hong Kong University of Science and Technology Hong Kong Hong Kong International Software and Productivity Engineering Institute United States Intelligent Support Ltd. United Kingdom Philips and LiteOn Digital Solutions Netherlands Netherlands Georgia Southern University Statesboro GA United States University of Salzburg Austria Sung Kyun Kwan University Korea Republic of International Islamic University Malaysia Malaysia Aries Design Automation United States Lakehead University Canada IEEE Canada Board of Directors Canada Eindhoven University of Technology Netherlands Vytautas Magnus University Lithuania Siemens IT Solutions and Services Slovakia Sun Yat-Sen University China National Kaohsiung University of Applied Sciences Taiwan Feng Chia University Taiwan Shu-Te University Taiwan University of Northern British Columbia Canada University of South Australia Australia Vietnamese Academy of Science and Technology Viet Nam C. V. Raman College of Engineering India Mentouri University Constantine Algeria University of Balearic Islands Spain University of Seville Spain CEA France ENSTA France Florida International University United States Tokai University Japan MultiGiG Inc. United States Karlsruhe University Germany Universidade Nova de Lisboa Portugal University of Zielona Gora Poland Malaviya National Institute of Technology Jaipur India Texas Instruments Inc. United States National Tsing-Hua University Taiwan Warsaw University of Technology Poland Chungbuk National University Korea Republic of Shenzhen University China Vytautas Magnus University Kaunas Lithuania Hellenic Open Univ

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DATICS-2010: Welcome message from workshop organizers: FutureTech 2010

2010 5th International Conference on Future Information Tech...

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2010 5th International Conference on Future Information Technology, FutureTech 2010 - Proceedings 2010年

作者： Man, Ka Lok Mercaldi, Michele Hahanov, Vladimir Prinetto, Paolo Poncino, Massimo MacIi, Alberto Choi, Joongho Li, Wei Schellekens, Michel Popovici, Emanuel Seon, Jong-Kug Rossi, Umberto Fummi, Franco Pravadelli, Graziano Lam, Yui Fai PavLov, Vladimir Patel, Ajay Huang, Jinfeng Vallee, Thierry Boubekeur, Menouer Sokolova, Ana Almerares, Sergio Donno, Monica Cho, Jun-Dong Alam, Ahm Zahirul Provan, Gregory Velev, Miroslav N. Nasir Uddin, M. Botchkarev, Alexei Bosnacki, Dragan Hickey, Dave O'Keeffe, Maria Krilavičius, Tomas Pastrnak, Milan Herbert, John Lu, Zhe-Ming Pan, Jeng-Shyang Chang, Chin-Chen Horng, Mong-Fong Chen, Liang Lim, Chee-Peng Tao, Ngo Quoc Deb, Suash Merniz, Salah Valero, Oscar Yi, Yang Woods, Damien Vedrine, Franck Monsuez, Bruno Yen, Kang Matsuura, Takenobu Timothy Edwards, R. Tveretina, Olga Fino, Maria Helena O'Riordan, Adrian Patrick lab.ak, Grzegorz Gaur, M.S. Chang, Jian Chung, Yeh-Ching Derezinska, Anna Cho, Kyoung-Rok Zhang, Yong Liutkevičius, R. Zeng, Yuanyuan Vasudevan, D.P. Bukowiec, Arkadiusz Kitsos, Paris Goudarzi, Maziar Dong, Jin Song Bhalla, Ateet Al-Khalili, Dhamin Navabi, Zainalab.din Zinchenko, Lyudmila Anjum, Muhammad Almas Narasimha, Deepak Laxmi Hughes, Danny Tadjouddine, Emmanuel M Wang, Jun Kumar, A.P. Sathish Jaisankar, N. Mansoor, Atif Hollands, Steven Mohammadi, Siamak Klein, Felipe Westermann, Peter English, Tom Planas, Miquel Moreto Chung, Chelho Chakrabarti, Amlan Lei, Chi-Un Bamakhrama, Mohamed Naik, B. Rajendra Harte, Sean Yin, Alexander Giancardi, Luigi Mady, Alie El-Din Joseph, Arun Khandekar, Prasad D. Pandey, Hari Mohan Xi'an Jiaotong-Liverpool University China Kharkov National University of Radio Electronics Italy Politecnico di Torino Italy University of Seoul China Fudan University Ireland University College Cork Ireland System LSI Lab. LS Industrial Systems R and D Center Korea Republic of STMicroelectronics Italy University of Verona Hong Kong Hong Kong University of Science and Technology Hong Kong Hong Kong International Software and Productivity Engineering Institute United States Intelligent Support Ltd. United Kingdom Philips and LiteOn Digital Solutions Netherlands Netherlands Georgia Southern University Statesboro GA Austria University of Salzburg Korea Republic of Sung Kyun Kwan University Malaysia International Islamic University Malaysia Malaysia Aries Design Automation United States Lakehead University Canada IEEE Canada Board of Directors Canada Eindhoven University of Technology Lithuania Vytautas Magnus University Greece Siemens IT Solutions and Services Slovakia Sun Yat-Sen University China National Kaohsiung University of Applied Sciences Taiwan Feng Chia University Taiwan Shu-Te University Canada University of Northern British Columbia Australia University of South Australia Viet Nam Vietnamese Academy of Science and Technology Viet Nam C. V. Raman College of Engineering India Mentouri University Constantine Spain University of Balearic Islands Spain University of Seville France CEA France ENSTA France Florida International University Japan Tokai University Japan MultiGiG Inc. United States Karlsruhe University Portugal Universidade Nova de Lisboa Poland University of Zielona Gora India Malaviya National Institute of Technology Jaipur India Texas Instruments Inc United States National Tsing-Hua University Poland Warsaw University of Technology Korea Republic of Chungbuk National University China Shenzhen University Lithuania Vytautas Magnus University Kaunas Greece Hellenic Open University Patras Singapore National University of Singapore Sing

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Localization-oriented coverage based on Bayesian estimation in camera sensor networks

Localization-oriented coverage based on Bayesian estimation ...

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9th IEEE International Symposium on Wireless, Mobile and Multimedia Networks, WoWMoM 2008

作者： Liu, Liang Zhang, Xi Huadong, Ma. Networking and Information Systems Laboratory Department of Electrical and Computer Engineering Texas A and M University College Station TX 77843 United States Beijing Key Lab. of Intelligent Telecomm Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9781424421008

Target tracking and localization are important applications in camera sensor networks. Although coverage is a very important research topic in wireless sensor networks, and the coverage problem for target detection has been intensively studied, few considers the coverage problem from the perspective of target localization. In this paper, we investigate the coverage problem from the perspective of target localization for camera sensor networks. We first propose a novel localization-oriented sensing model based on the perspective projection of camera. Then, we propose a new notion of Localization-oriented coverage (L-coverage for short). We assume that all camera sensors make the measurements independent of other in the field, and these camera sensors can cooperate to make an accurate estimation for the location of the target. In addition, the relationships among L-coverage, 2-coverage, and the density of camera sensors are also discussed in this paper. The obtained results show that our model can be effectively deployed in many practical scenarios. © 2008 IEEE.

关键词： Target tracking

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DIRECTIONAL CLASSIFICATION OF CORTICAL SIGNALS USING A LIQUID STATE MACHINE

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IFAC Proceedings Volumes 2008年第2期41卷 9596-9600页

作者： Jiangshuai Huang Huijuan Fang Yongji Wang Key Lab. for Image Processing & Intelligent Control of Education Ministry of China Department of Control Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China

Liquid State Machine (LSM) is a newly developed computational model with many interesting properties. It has great advantages of dealing with biologic computing when compared to the traditional computational model. In this paper, the LSM was used to deal with the direction classification problem of the spike series which were distilled from the neurons in motor cortex of a monkey. In the output layer, a linear regression and back-propagation are employed as the training algorithms. Compare to outcomes of the two algorithms, it is showed that ideal classification results were derived when using BP as the training algorithm.

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intelligent systems applied to optimize building’s environments performance

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IFIP Advances in Information and Communication Technology 2008年 276卷 237-244页

作者： Sierra, E. Hossian, A. Rodríguez, D. García-Martínez, M. Britos, P. García-Martínez, R. Engineering School Comahue University Argentina Engineering School Comahue University Intelligent Systems Lab. FI-UBA Argentina Software and Knowledge Eng Center. Buenos Aires Institute of Technology Argentina School of Architecture University of Buenos Aires Argentina Software and Knowledge Eng. Center Buenos Aires Institute of Technology Argentina Software and Knowledge Engineering Center Buenos Aires Institute of Technology Argentina

ISBN: (纸本)9780387096940

By understanding a building as a dynamic entity capable of adapting itself not only to changing environmental conditions but also to occupant’s living habits, high standards of comfort and user satisfaction can be achieved. An intelligent system architecture integrating neural networks, expert systems and negotiating agents technologies is designed to optimize intelligent building’s performance. Results are promising and encourage further research in the field of AI applications in building automation systems. © 2008, IFIP International Federation for Information Processing. All rights reserved.

关键词： intelligent buildings

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Preventing social engineering in ubiquitous environment

Preventing social engineering in ubiquitous environment

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International Conference on Future Generation Communication Networking

作者： Nyamsuren, Enkhbold Choi, Ho-Jin Intelligent Software Engineering and Robotics Lab. School of Engineering Information and Communications University

ISBN: (纸本)0769530486

This paper provides analysis of the possible impacts of social engineering in ubiquitous environment and the ways of preventing it. The main goal of this paper is to emphasize the possible danger of impact of social engineering in ubiquitous computing, and importance of establishing not only technical, hut also non-technical mechanisms for preventing it. The paper describes how to ensure security and privacy protection in terms of user own responsibility and the use of proper policy and legislation mechanisms.

关键词： Ubiquitous computing

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Enhancing requirements engineering activities through the use of mobile technology devices and tools

Enhancing requirements engineering activities through the us...

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International Conference on Future Generation Communication Networking

作者： Fahmi, Syed Ahsan Ibrahim, Ahmad Choi, Ho-Jin Intelligent Software Engineering and Robotics Lab. School of Engineering Information and Communications University South Korea

ISBN: (纸本)0769530486

Requirements Elicitation, one of the most critical tasks in Requirements engineering activities, is basically the process that involves communication with the stakeholders, understanding their necessities and formulating the problems to be solved. Conventional devices and tools used in different requirements gathering activities are mostly desktop computer or laptop based. Because of their size and less mobility feature, they are usually not brought to the workplace of the stakeholders. The advancing capabilities of mobile devices and mobile tools can significantly contribute to the automation of RE activities. The aim of this proposed research is to enhance requirements elicitation activities by using mobile devices and designing and implementing a web-based mobile RE tool to automate and supplement the traditional requirements elicitation process. This paper describes the ongoing research and presents the progress so far.

关键词： Requirements engineering

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software reverse engineering to requirements

Software reverse engineering to requirements

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2nd International Conference on Convergent Information Technology, ICCIT 07

作者： Fahmi, Syed Ahsan Choi, Ho-Jin Intelligent Software Engineering and Robotics Lab. School of Engineering Information and Communications University Korea Republic of

ISBN: (纸本)0769530389

The aim of reverse engineering is to draw out many kinds of information from existing software and using this information for system renovation and program understanding. Based on traditional practice, reverse engineering and requirements engineering are two separate processes in software round trip engineering. In this paper, we argue that it is necessary to recover requirements from the reverse engineered outcome of legacy system and by Integrating this outcome in the requirements phase of software life cycle, it is possible to have a better requirements elicitation, and clear understanding of what is redundant, what must be retained and what can be re-used. So we have presented a revised model of traditional re-engineering process and also described the rationality of the proposed model. In the paper we have also discussed briefly about software reverse engineering, requirement engineering and their basic practices and activities. © 2007 IEEE.

关键词： Reverse engineering

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