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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： Xu, Jing Yu, Wen-Sheng Wang, Fei-Yue Institute of Automation Chinese Academy of Sciences Beijing 100080 China University of Arizonas Systems and Industrial Engineering Department Program in Advanced Research of Complex Systems Key Laboratory of Complex Systems and Intelligence Science Chinese Academy of Sciences

ISBN: (纸本)1424400945

This paper presents the technique of adaptive critic designs (ACDs) for resolving some traffic control problems, such as urban traffic signal control, ramp metering, highway speed control and so on. ACDs are adaptive optimal methods, whose main idea is to approximate dynamic programming solutions by using a function approximation structure such as neural networks to approximate the cost function or its derivatives. They combine the positive features of both the traditional dynamic programming (e.g., optimality and feedback) and the neural networks (e.g., numerical and real-time properties). Due to these exciting merits, they are promising in handling the traffic control problems which have strong nonlinear, stochastic and real-time characteristics. In this paper, a close look at two typical adaptive critic designs is conducted. Specifically, we demonstrate the use of a specific adaptive critic design for the local on-ramp metering control problem. Simulation results indicate that the proposed controller has good performance. © 2006 IEEE.

关键词： Traffic control

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Developing combinatorial multi-component therapies (CMCT) of drugs that are more specific and have fewer side effects than traditional one drug therapies

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Nonlinear Biomedical Physics 2007年第1期1卷 11-11页

作者： Liebovitch, Larry S. Tsinoremas, Nicholas Pandya, Abhijit Florida Atlantic University Center for Complex Systems and Brain Sciences Center for Molecular Biology and Biotechnology Department of Psychology Department of Biomedical Science Boca Raton FL 33431 United States The Scripps Research Institute Scripps Florida Informatics Jupiter FL 33458 United States Florida Atlantic University Department of Computer Science and Engineering Boca Raton FL 33431 United States

Drugs designed for a specific target are always found to have multiple effects. Rather than hope that one bullet can be designed to hit only one target, nonlinear interactions across genomic and proteomic networks could be used to design Combinatorial Multi-Component Therapies (CMCT) that are more targeted with fewer side effects. We show here how computational approaches can be used to predict which combinations of drugs would produce the best effects. Using a nonlinear model of how the output effect depends on multiple input drugs, we show that an artificial neural network can accurately predict the effect of all 2¹⁵= 32,768 combinations of drug inputs using only the limited data of the output effect of the drugs presented one-at-a-time and pairs-at-a-time. © 2007 Liebovitch et al;licensee BioMed Central Ltd.

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NASA airborne AVIRIS and DCS remote sensing of coral reefs

NASA airborne AVIRIS and DCS remote sensing of coral reefs

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32nd International Symposium on Remote Sensing of Environment: Sustainable Development Through Global Earth Observations

作者： Guild, L. Lobitz, B. Armstrong, R. Gilbes, F. Gleason, A. Goodman, J. Hochberg, E. Monacoh, M. Berthold, R. Foundation of CSU Monterey Bay NASA Ames Research Center Moffett Field CA 94035 United States Mayaguez 00681 Puerto Rico Ctr. for Hemispherical Coop. in Res. and Education in Engineering and Applied Science UPRM Mayaguez 00681 Puerto Rico Rosenstiel School of Marine and Atmospheric Sciences Univ. of Miami 4600 Rickenbacker Cswy Miami FL 33149 United States Center for Subsurface Sensing and Imaging Systems UPRM Mayaguez 00681 Puerto Rico Hawaii Institute of Marine Biology Univ. of Hawaii Kaneohe HI 96744 United States NOAA Biogeography Program Center for Coastal Monitoring and Assessment Silver Springs MD 20910 United States

To adequately image through a water column and to delineate variation in coral reef ecosystem benthic types, sensors having high spatial, e.g., a Cirrus digital camera system (DCS), and spectral, e.g., the Airborne Visible Infrared Imaging Spectrometer (AVIRIS), resolution and high signal to noise are needed. Further, there is a need to better understand the optical properties of coral reefs, seagrass, other benthic types, and water column constituents from field-collected data so current and future remote sensing can be optimized for coastal zone ecosystem research and management. In August 2004, we flew the AVIRIS and DCS on a NASA ER-2 over the Florida Keys and Puerto Rico. In March 2005, we flew AVIRIS/DCS on the Twin Otter over Kaneohe Bay, Oahu. Also, in December 2005, we flew AVIRIS/DCS on the Twin Otter over Puerto Rico and the US Virgin Islands for assessment of the 2005 Caribbean coral reef bleaching event. For each of these deployments, we collected coincident spectral data from dominant bottom types and coral under various health conditions using a hand-held spectroradiometer. These spectral data will be used to classify the benthic types within the AVIRIS imagery. An overview of the airborne missions and coincident field data collection will be presented along with preliminary image and field-collected spectral data products.

关键词： NASA

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Newton-like methods for parallel independent component analysis

Newton-like methods for parallel independent component analy...

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2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing, MLSP 2006

作者： Shen, Hao Hüper, Knut Systems Engineering and Complex Systems Research Program National ICT Australia Canberra ACT 2601 Australia Department of Information Engineering RSISE Australian National University Canberra ACT 0200 Australia

ISBN: (纸本)1424406560

Independent Component Analysis (ICA) can be studied from different angles. The performance of ICA algorithms significantly depends on the choice of the contrast function and the optimisation algorithm used in obtaining the demixing matrix. In this paper we focus on the standard linear ICA problem from an algorithmic point of view. It is well known that after a pre-whitening process, linear ICA problem can be solved via an optimisation approach on a suitable manifold. FastICA is one prominent linear ICA algorithm for solving the so-called one-unit ICA problem, which was recently shown by the authors to be an approximate Newton's method on the real projective space. To extract multiple components in parallel, in this paper, we propose an approximate Newton-like ICA algorithm on the orthogonal group. The local quadratic convergence properties are discussed. The performance of the proposed algorithms is compared with several existing parallel ICA algorithms by numerical experiments. © 2006 IEEE.

关键词： Independent component analysis

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An agent-based controller for vehicular automation

An agent-based controller for vehicular automation

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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： He, Feng Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

In this paper, we present a design of controller for vehicular automation based on mobile agent technology. In this approach, the control goal is conducted by coordinating active or default agents based on sensory feedback and vehicle conditions. A hosting mechanism determines which agent has the right to control the vehicle and make the decision. Those agents are divided into two groups: default agents which are developed by fuzzy rules, and active agents which are produced by neural networks. Fuzzy agents locate in the vehicle and neural network agents locate in remote server. Two types of agents have similar function but different performance, so those agents produced by neural network can transfer back to the vehicle after learning to replace default fuzzy agents according to mobile agent technology. The performance of the proposed technique is illustrated by simulation studies of a vehicle longitudinal control system. © 2006 IEEE.

关键词： Land vehicle propulsion

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Modeling and analysis of artificial transportation system based on multi-agent technology

Modeling and analysis of artificial transportation system ba...

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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： He, Feng Miao, Qinghai Li, Yuantao Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

This paper presents the multi-agent architecture for artificial transportation system. In this architecture, Petri net is used as basic model to represent agents. At an intersection, the agents are divided into two groups: one for the traffic-signal and the other for the vehicle flow, which are integrated to represent the behavior of this intersection. In addition, those agents can be used as the modularity to represent urban network of more scale. To coordinate different intersection agents, game theory is used to design coordination strategy between agents. The iterated elimination of strictly dominated strategies algorithm is presented to find Nash equilibrium. © 2006 IEEE.

关键词： Transportation

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Modeling interactions in artificial transportation systems using petri net

Modeling interactions in artificial transportation systems u...

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ITSC 2006: 2006 IEEE Intelligent Transportation systems Conference

作者： Zhu, Fenghua Wang, Zhixue Wang, Fei-Yue Tang, Shuming IEEE Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences CO 100080 Beijing China Key Laboratory for Complex Systems and Intelligence Science Chinese Academy of Sciences Beijing China Program for Advanced Research in Complex Systems Department of Systems and Industrial Engineering University of Arizona Tucson AZ 85719 United States Institute of Automation Shandong Academy of Sciences Jinan 250014 China

ISBN: (纸本)1424400945

Agents and interactions between them are two key roles in modeling artificial transportation systems. This paper presents a formal theory to describe interactions between agents, which, together with the well developed models to describe components as agents, completes the first step towards establishing the formal structure for artificial transportation systems. By describing individual agents and the interactions between them as independent simple sequence processes and directive communication channels respectively, we models the whole system as one sequential communications system, which is one special type of Petri net. The theory is flexible enough to model diversified interactions between agents, and the resultant model possesses favorable properties. A case study of modeling road network has been conducted for the purpose of illustration. © 2006 IEEE.

关键词： Transportation

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Waters network's potential to transform environmental engineering education

Waters network's potential to transform environmental engine...

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114th Annual ASEE Conference and Exposition, 2007

作者： Eschenbach, Elizabeth Montgomery, Jami Johnson, James Brus, Chris Carlson, Patricia Giammar, Dan Grauer, Bette Hotaling, Liesl Oguntimein, Gbekeloluwa Safferman, Steven Wentling, Tim Humboldt State University United States Department of Environmental Resources Engineering Humboldt State University United States WATERS Network - CLEANER Project Office Network Howard University United States Department of Environmental Engineering College of Engineering Architecture and Computer Sciences Howard University United States American Academy of Environmental Engineers United States University of Iowa United States Program University of Iowa United States Rose-Hulman Institute of Technology United States Department of Rhetoric Rose-Hulman Institute of Technology United States National Research Council U. S. Air Force United States NASA's Classroom of the Future Wheeling WV United States Washington University United States Department of Energy Environmental and Chemical Engineering Washington University St. Louis United States Environmental Studies Program Center for Materials Innovation United States McPherson High School United States McPherson High School McPherson KS United States Stevens Institute of Technology United States Stevens Institute of Technology United States Morgan State University United States Michigan State University United States Biosystems and Agricultural Engineering Department Michigan State University United States University of Dayton United States Education Planning Committee National Center for Supercomputing Applications United States Department of Information Science Graduate School of Library and Information Science National Center for Supercomputing Applications University or Illinois United States Knowledge and Learning Systems Group NCSA United States

The WATERS Network (WATer and Environmental research systems Network) will be an integrated real-time distributed observing system which will enable academic and government scientists, engineers, educators, and practitioners to advance effective management of our nation's water resources by understanding human interactions with water and the natural and built environment. WATERS will provide easily accessible real time environmental data as well as analysis tools to engineers, scientists, educators, K- graduate students and policymakers so they can better understand how water quantity, quality and related components of the hydrologic cycle are impacted by natural and human influences. The WATERS strategic plan will be completed by July 2007 and requires constituent input. This paper describes the draft Conceptual Design and the Education Plan of WATERS Network. This paper will highlight the potential impact of WATERS on undergraduate and graduate environmental engineering education in order to elicit input from the environmental engineering education community on how WATERS Network could better meet the future needs of undergraduate and graduate students and educators. More information can be found at ***. © American Society for engineering Education, 2007.

关键词： Water resources

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Workshop on imaging science development for cancer prevention and preemption

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Cancer Biomarkers 2007年第1期3卷 1-33页

作者： Kelloff, Gary J. Sullivan, Daniel C. Baker, Houston Clarke, Lawrence P. Nordstrom, Robert Tatum, James L. Dorfman, Gary S. Jacobs, Paula Berg, Christine D. Pomper, Martin G. Birrer, Michael J. Tempero, Margaret Higley, Howard R. Petty, Brenda Gumbs Sigman, Caroline C. Maley, Carlo Sharma, Prateek Wax, Adam Ginsberg, Gregory G. Dannenberg, Andrew J. Hawk, Ernest T. Messing, Edward M. Grossman, H. Barton Harisinghani, Mukesh Bigio, Irving J. Griebel, Donna Henson, Donald E. Fabian, Carol J. Ferrara, Katherine Fantini, Sergio Schnall, Mitchell D. Zujewski, Jo Anne Hayes, Wendy Klein, Eric A. DeMarzo, Angelo Ocak, Iclal Ketterling, Jeffrey A. Tempany, Clare Shtern, Faina Parnes, Howard L. Gomez, Jorge Srivastava, Sudhir Szabo, Eva Lam, Stephen Seibel, Eric J. Massion, Pierre McLennan, Geoffrey Cleary, Kevin Suh, Robert Burt, Randall W. Pfeiffer, Ruth M. Hoffman, John M. Roy, Hemant K. Wang, Thomas Limburg, Paul J. El-Deiry, Wafik S. Papadimitrakopoulou, Vali Hittelman, Walter N. MacAulay, Calum Veltri, Robert W. Solomonzz, Diane Jeronimo, Jose Richards-Kortum, Rebecca Johnson, Karen A. Viner, Jaye L. Stratton, Steven P. Rajadhyaksha, Milind Dhawan, Atam NIH/NCI/DCTD Cancer Imaging Program Bethesda MD United States NIH/NCI/DCTD Cancer Imaging Program NCI-Frederick Frederick MD United States NIH/NCI/DCP Early Detection Research Group Bethesda MD United States The Johns Hopkins University School of Medicine Departments of Radiology Pharmacology and Oncology Division of Neuroradiology Baltimore MD United States NIH/NCI/CCR Cell and Cancer Biology Branch Bethesda MD United States University of California San Francisco Department of Medicine Division of Medical Oncology San Francisco CA United States CCS Associates Inc. Mountain View CA United States Wistar Institute Molecular and Cellular Oncogenesis Program Philadelphia PA United States University of Kansas School of Medicine VA Hospital Kansas City MO United States Duke University Department of Biomedical Engineering Medical Physics Program Durham NC United States University of Pennsylvania School of Medicine Department of Gastroenterology Philadelphia PA United States New York Presbyterian Hospital Weill Medical College of Cornell University New York NY United States NIH/NCI/OD Office of Centers for Training and Resources Bethesda MD United States University of Rochester Medical Center Department of Urology Rochester NY United States University of Texas MD Anderson Cancer Center Department of Urology Houston TX United States Massachusetts General Hospital Abdominal Imaging/Interventional Radiology Boston MA United States Boston University Biomedical Engineering Electrical and Computer Engineering and Physics Boston MA United States NIH/NCI/DCP Gastrointestinal and Other Cancers Research Group Bethesda MD United States The George Washington University Cancer Institute Office of Cancer Prevention and Control Washington DC United States University of Kansas Cancer Center Clinical Oncology Kansas City KS United States University of California Davis Department of Biomedical Engineering Davis CA United States Tufts University De

The article provides information on a workshop on the development of imaging systems for cancer prevention and preemption convened by the U.S. National Cancer Institute (NCI) Cancer Imaging program held in Gaithersburg, Maryland. Doctor Katherine Ferrara of the University of California discussed the function of ultrasound in breast tumor imaging. Ways to close the gap between development and application of imaging approaches were tackled in a roundtable discussion on cervix and skin cancer.

关键词： FORUMS (Discussion & debate) IMAGING systems in medicine CANCER prevention

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Is there a sustainable future for nuclear power?

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IEEE Power and Energy Magazine 2006年第4期4卷 63-74页

作者： MacGill, Iain Healy, Stephen Outhred, Hugh School of History and Philosophy of Science Faculty of Arts and Social Science Environmental Studies Program CEEM Energy Systems Research Group School of Electrical Engineering and Telecommunications Institution of Engineers Australia IEEE

Nuclear power has a troubled past and the future remains uncertain. There are significant uncertainties regarding crucial elements of future large-scale expansion of the use of civilian nuclear power, including nuclear power proliferation, safety, and waste management. Wider uncertainties include nuclear power's potential to help in averting the growing risks of dangerous climate change. The nuclear bomb dropped on Hiroshima in 1945 heralded the arrival of nuclear power. No other energy technology has made such as an impact on the human mind as an astounding source of military power and foreign policy strength. This technology currently supplies 22% of electricity in the Organisation for Economic Cooperation and Development (OECD) and 6% in developing countries. The solution to have a positive future for nuclear power technology is to frame decision making in order to best manage the challenges nuclear power presents.

关键词： Nuclear energy

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