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6th IEEE International Conference on computer and Information Technology, CIT 2006

作者： Park, Kyoung-Su Hong, Sangjin Park, Peom Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University - SUNY Stony Brook NY 11794-2350 United States Department of Industrial and Information Engineering Ajou University Humintec Co. Ltd. Suwon Korea Republic of

ISBN: (纸本)076952687X

This paper presents spectral characterization for efficient image detection using hyperspectral processing technique. We investigate relationship between the number of bands used in the detection so that the minimum number of bands are used in the processing. This approach reduces computation and implementation complexity of the algorithms. Specifically, we considered contribution coefficient by each band and based on this coefficient, we heuristically select the bands for processing. We have shown that for effective detection, only small number of bands are needed. © 2006 IEEE.

关键词： Image analysis

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Layering As Optimization Decomposition: Framework and Examples

Layering As Optimization Decomposition: Framework and Exampl...

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IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： Mung Chiang S.H. Low A.R. Calderbank J.C. Doyle Electrical Engineering Department Princeton University USA Computer Science and Electrical Engineering Departments Caltech USA Electrical Engineering and Mathematics Princeton University USA Control and Dynamic Systems Department Caltech USA

Network protocols in layered architectures have historically been obtained primarily on an ad-hoc basis. Recent research has shown that network protocols may instead be holistically analyzed and systematically designed as distributed solutions to some global optimization problems in the form of Network Utility Maximization (NUM), providing insight into what they optimize and structures of the network protocol stack. This paper presents a short survey of the recent efforts towards a systematic understanding of 'layering' as 'optimization decomposition', where the overall communication network is modeled by a generalized NUM problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the sub-problems. Different decompositions lead to alternative layering architectures. We summarize several examples of horizontal decomposition into distributed computation and vertical decomposition into functional modules such as congestion control, routing, scheduling, random access, power control, and coding.

关键词： Wireless application protocol design optimization Reverse engineering TCPIP Mobile ad hoc networks Utility programs Communication networks computer architecture Distributed computing Distributed algorithms

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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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Layering As Optimization Decomposition: Current Status and Open Issues

Layering As Optimization Decomposition: Current Status and O...

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Annual Conference on Information Sciences and systems (CISS)

作者： Mung Chiang Steven H. Low A. Robert Calderbank John C. Doyle Electrical Engineering Department Princeton University USA Computer Science and Electrical Engineering Department Caltech USA Electrical Engineering and Mathematics Departments Princeton University USA Control and Dynamic Systems Department Caltech USA

Network protocols in layered architectures have historically been obtained on an ad-hoc basis, and much of the recent cross-layer designs are conducted through piecemeal approaches. Network protocols may instead be holistically analyzed and systematically designed as distributed solutions to some global optimization problems in the form of generalized network utility maximization (NUM), providing insight on what they optimize and structures of the network protocol stack. This paper presents a short survey of the recent efforts towards a systematic understanding of "layering" as "optimization decomposition", where the overall communication network is modeled by a generalized NUM problem, each layer corresponds to a decomposed subproblem, and the interfaces among layers are quantified as functions of the optimization variables coordinating the subproblems. Furthermore, there are many alternative decompositions, each leading to a different layering architecture. Industry adoption of this unifying framework has also started. Here we summarize the current status of horizontal decomposition into distributed computation and vertical decomposition into functional modules such as congestion control, routing, scheduling, random access, power control, and coding. Key messages and methodologies arising out of many recent work are listed. Then we present a list of challenging open issues in this area and the initial progress made on some of them.

关键词： Protocols design optimization Cross layer design Utility programs Communication networks computer architecture Distributed computing Routing Job shop scheduling Processor scheduling

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Transmission Expansion under Risk using Stochastic Programming

Transmission Expansion under Risk using Stochastic Programmi...

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International Conference on Probabilistic Methods Applied to Power systems (PMAPS)

作者： Juan Alvarez Kumaraswamy Ponnambalam Victor H. Quintana Electrical and Computer Engineering Department University of Waterloo Waterloo ONT Canada Systems Design Engineering University of Waterloo Waterloo ONT Canada

In this work, the problem of transmission expansion under risk from demand uncertainty and capacity of the lines is addressed. A deterministic model is expanded into a two-stage stochastic model with fixed recourse by means of considering the various foreseeable levels of demand as random. After this model is analyzed, a way of quantifying risk using the mean-variance Markowitz approach is proposed. The last model presented is such that randomness in the transmission capacity factor for each line is considered using a probabilistic constraint. The concepts of expected value of perfect information (EVPI) and the value of the stochastic solution (VSS) are also studied

关键词： Stochastic processes Investments Power system planning Power system modeling Power system reliability design engineering Power engineering and energy Load flow Costs Power systems

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Increasing Object Recognition Rate using Reinforced Segmentation

Increasing Object Recognition Rate using Reinforced Segmenta...

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IEEE International Conference on Image Processing

作者： Farhang Sahba Hamid R. Tizhoosh Magdy M.A. Salama Systems Design Engineering University of Waterloo Waterloo ONT Canada Electrical and Computer Engineering Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada

In this paper a new approach to object extraction and recognition based on reinforcement learning is presented. We use this novel idea as a method to optimally segment the image and increase the recognition rate. The ... 详细信息

关键词： Object recognition Learning Image segmentation Data mining design engineering Pattern analysis Machine intelligence Laboratories Image recognition Object detection

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Adaboost and Support Vector Machines for White Matter Lesion Segmentation in MR Images

Adaboost and Support Vector Machines for White Matter Lesion...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： A. Quddus P. Fieguth O. Basir PAMI Lab Department of Electrical and Computer Engineering University of Waterloo Waterloo ONT Canada Department of Systems Design Engineering University of Waterloo Waterloo ONT Canada

The use of two powerful classification techniques (boosting and SVM) is explored for the segmentation of white-matter lesions in the MRI scans of human brain. Simple features are generated from proton density (PD) scans. Radial basis function (RBF) based Adaboost technique and support vector machines (SVM) are employed for this task. The classifiers are trained on severe, moderate and mild cases. The segmentation is performed in T1 acquisition space rather than standard space (with more slices). Hence, the proposed approach requires less time for manual verification. The results indicate that the proposed approach can handle MR field inhomogeneities quite well and is completely independent from manual selection process so that it can be run under batch mode. Segmentation performance comparison with manual detection is also provided

关键词： Support vector machines Lesions Image segmentation Support vector machine classification Humans Artificial neural networks Magnetic resonance imaging Biological neural networks Boosting Data analysis

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Guarantee of service expectation level and fairness by precise queue weight allocation in AF PHB

Guarantee of service expectation level and fairness by preci...

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IEEE Conference on Wireless Communications and Networking

作者： Sangkil Jung Sangjin Hong Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA

Assured forwarding per-hop behavior (AF PHB) is a forwarding scheme for providing QoS in DiffServ networks. It defines four classes and three drop precedence, where buffer space and bandwidth are defined as forwarding resources for each AF class (J. Heinanen et al., 1999). RIO (D.D. Clark and W. Fang, 1998) could be used as drop policy in a DiffServ router. AF PHB could be implemented by WRR, WFQ, CBQ, etc. When network managers provide AF PHB using the scheduling mechanisms, they want to guarantee accurate achievement of service expectation level, which results from precise queue weight allocation to each AF class with respect to forwarding resources, i.e., buffer space and bandwidth. In order to provide a guideline for the precise queue weight allocation, this paper proposes a simple analytical model for AF PHB designed on RIO and M/M/1 queue, and uses this model to obtain queue weight equation (QWE), which performs fine calculation of queue weight for AF classes. Average buffer space and bandwidth allocated for each AF class are used in derivation of QWE. The model verification is performed by simulation in which we use WRR for simplicity. Simulation results show that the QWE supports an accurate allocation of the forwarding resources, and, as a result, makes four AF classes achieve fairness as well as service expectation levels

关键词： Bandwidth Queueing analysis Resource management Quality of service Diffserv networks Mobile computing Laboratories computer networks design engineering Guidelines

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VoMESH: voice over wireless MESH networks

VoMESH: voice over wireless MESH networks

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IEEE Conference on Wireless Communications and Networking

作者： Kyungtae Kim Sangjin Hong Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA

In this work, we focus on increasing network utilization to support real-time applications, especially voice over IP, in 802.11b wireless mesh network. For increasing capacity, we investigate on two directions: use of packet aggregation and utilize of header compression. Although aggregation reduces 802.11 MAC overhead, it also increases delay. We present a distributed multihop aggregation algorithm that uses the "natural" waiting time in the interface queue of packets in a loaded network. Header compression can relax the VoIP protocol overhead, but it also introduces the signaling overhead. In our work, we propose a zero-length header compression algorithm integrated with packet aggregation, which doesn't need to depend on the signaling mechanism to recover the context discrepancy between compressor and decompressor. The above performance optimization techniques are experimented in the NS2 simulator. The experimental results show an increase of 12 times for a six hop string when all optimizations are used

关键词： Wireless mesh networks Internet telephony Protocols Mesh networks Costs Delay Spread spectrum communication Telecommunication traffic Traffic control Communication system security

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A new structure for capacitor-mismatch-insentive multiply-by-two amplification

A new structure for capacitor-mismatch-insentive multiply-by...

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ISCAS 2006: 2006 IEEE International Symposium on Circuits and systems

作者： Zare-Hoseini, Hashem Shoaei, Omid Kale, Izzet Applied DSP and VLSI Research Group Department of Electronic Systems University of Westminster London Applied DSP and VLSI Research Centre Eastern Mediterranean University KKTC Mersin 10 Gazimagusa IC Design Laboratory Electrical and Computer Engineering Department University of Tehran Tehran Iran

ISBN: (纸本)0780393902

A new approach to achieve a switched-capacitor multiply-by-two gain-stage with reduced sensitivity to capacitors' mismatches is presented in this paper. It is based on sampling fully differential input signals onto both plates of the input capacitors rather than sampling onto one plate of the capacitors with the other tied to a reference. It uses one operational amplifier (op-amp) in two phases to produce the gain of two (×2). Comparing to the conventional multiply-bytwo gain-stage, the mismatches between the capacitors has a much smaller influence on the accuracy of the gain of two (×2). Analytical and circuit-level analysis of the architecture and the conventional structure are presented using a generic 0.35μm CMOS technology. © 2006 IEEE.

关键词： Capacitors

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