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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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Opposition-based Q(λ) algorithm

Opposition-based Q(λ) algorithm

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International Joint Conference on Neural Networks 2006, IJCNN '06

作者： Shokri, Maryam Tizhoosh, Hamid R. Kamel, Mohamed Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo 200 University Avenue West ON N2L 3G1 Canada Pattern Analysis and Machine Intelligence Laboratory Department of Electrical and Computer Engineering University of Waterloo 200 University Avenue West ON N2L 3G1 Canada

ISBN: (纸本)0780394909

The problem of delayed reward in reinforcement learning is usually tackled by implementing the mechanism of eligibility traces. In this paper we introduce an extension of eligibility traces to solve one of the challenging problems in reinforcement learning. The concept of opposition traces is proposed in this work to deal with large state space problems in reinforcement learning applications. We combine the idea of opposition and eligibility traces to construct the oppositionbased Q(λ). The results are compared with the conventional Watkins' Q(λ) and reflect a remarkable performance increase. © 2006 IEEE.

关键词： Reinforcement learning

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Modular-Based Classifier for Phoneme Recognition

Modular-Based Classifier for Phoneme Recognition

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IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Abbas Ahmadi Fakhri Karray Mohamed Kamel Systems Design Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada Electrical and Computer Engineering Department Pattern Analysis and Machine Intelligence Laboratory Waterloo ONT Canada

This paper proposes a modular-based classifier for the problem of phoneme recognition. This is carried out by the use of a two-level classification approach including, high and low levels. We propose a new concept called phoneme family. To obtain phoneme families, we employ k-mean clustering method. A given unknown phoneme is first classified into a phoneme family at high level classification. Then, the exact label of the phoneme is determined at low level classification. We have used a combined framework of statistical and neural network based classifiers. Encouraging results are obtained by applying the proposed method on TIMIT database and its performance is compared against other methods

关键词： Neural networks Speech recognition Recurrent neural networks Pattern recognition design engineering Databases Network topology Signal processing Information technology Pattern analysis

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Opposition-Based Q(λ) Algorithm

Opposition-Based Q(λ) Algorithm

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International Joint Conference on Neural Networks (IJCNN)

作者： M. Shokri H.R. Tizhoosh M. Kamel Pattern Analysis and Machine Intelligence Laboratory Department of Systems Design Engineering University of Waterloo ONT Canada Pattern Analysis and Machine Intelligence Laboratory Department of Electrical and Computer Engineering University of Waterloo ONT Canada

The problem of delayed reward in reinforcement learning is usually tackled by implementing the mechanism of eligibility traces. In this paper we introduce an extension of eligibility traces to solve one of the challenging problems in reinforcement learning. The concept of opposition traces is proposed in this work to deal with large state space problems in reinforcement learning applications. We combine the idea of opposition and eligibility traces to construct the opposition-based Q(lambda). The results are compared with the conventional Watkins' Q(lambda) and reflect a remarkable performance increase.

关键词： Learning Delay Acceleration Neural networks Pattern analysis Machine intelligence Laboratories System analysis and design design engineering systems engineering and theory

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Spectral Content Characterization for Efficient Image Detection Algorithm design

Spectral Content Characterization for Efficient Image Detect...

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International Conference on Computer and Information Technology (CIT)

作者： Kyoung-su Park Sangjin Hong Peom Park Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA Department of Industrial and Information Engineering Ajou University Humintec Company Limited Suwon South Korea

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.

关键词： Detection algorithms Algorithm design and analysis Hyperspectral imaging Hyperspectral sensors Signal processing algorithms Image edge detection Image processing Libraries Object detection Mobile computing

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Tracking an Object in 3-D Space using Particle Filtering based on Sensor Array

Tracking an Object in 3-D Space using Particle Filtering bas...

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International Conference on Computer and Information Technology (CIT)

作者： Jinseok Lee Jaechan Lim Sangjin Hong Peom Park Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA Department of Industrial and Information Engineering Ajou University Humintec Company Limited Suwon South Korea

This paper presents a formulation of particle filter for tracking an object in 3-D space. The 3-D tracking algorithm is derived based on bearings only tracking algorithm that is applied in tracking of an object in 2-D space with one angle measurement. We investigate and present the fusion process of the algorithms. The performance of the proposed algorithms are evaluated in detail.

关键词： Sensor arrays Particle tracking Signal processing algorithms Particle filters Adaptive signal processing Sonar navigation Particle measurements Information filtering Information filters Gas detectors

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Effect of RObust Header Compression (ROHC) and Packet Aggregation on Multi-hop Wireless Mesh Networks

Effect of RObust Header Compression (ROHC) and Packet Aggreg...

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International Conference on Computer and Information Technology (CIT)

作者： Sangkil Jung Sangjin Hong Peom Park Mobile Systems Design Laboratory Department of Electrical and Computer Engineering Stony Brook University-SUNY Stony Brook NY USA Humintec Company Limited Suwon South Korea Department of Industrial and Information Engineering Ajou University South Korea

This paper evaluates the behavioral effect of RObust Header Compression (ROHC) and packet aggregation in multi-hop wireless mesh networks. ROHC itself shows around 20% achieved rate improvement on a line of wireless link even if as the number of mesh router increases, total achieved rate gradually decreases. Packet aggregation cooperating with ROHC provides 4 to 10 times achieved rate improvement and results in maximum 6 times reduction of end-to-end delay. Even if the ROHC and packet aggregation gives such a promising improvement, we need to identify effect of the processing time of the two schemes on overall wireless mesh network behaviors. To do this work, we measure/use ROHC processing time from Pentium 4 and RouterBOARD 230, and apply the results into NS-2 simulations. The simulation results show high performance improvement from ROHC and packet aggregation deteriorates as a general purpose processor in a mesh router takes much time to deal with the two schemes. This result motivates a hardware design be required to speed up the processing units of the two schemes. Consequently, we propose a hardware system model for ROHC and packet aggregation by using SystemC Hardware Description Language (HDL). From the SystemC results, we conclude the proposed built-in processor design for the two schemes keeps performance improvement by enhancing the low speed processing power of general purpose processors.

关键词： Robustness Spread spectrum communication Wireless mesh networks Wireless sensor networks Hardware design languages Land mobile radio cellular systems Delay IP networks Mesh networks Time measurement

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

A new structure for capacitor-mismatch-insensitive multiply-...

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IEEE International Symposium on Circuits and systems (ISCAS)

作者： H. Zare-Hoseini O. Shoaei I. Kale Applied DSP and VLSI Research Group Department of Electronic Systems University of Westminster London UK IC Design Laboratory Electrical and Computer Engineering Department University of Tehran Tehran Iran KKTC Eastern Mediterranean University Gazi Magusa Mersin Turkey

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 (times2). Comparing to the conventional multiply-by-two gain-stage, the mismatches between the capacitors has a much smaller influence on the accuracy of the gain of two (times2). Analytical and circuit-level analysis of the architecture and the conventional structure are presented using a generic 0.35mum CMOS technology

关键词： Capacitors Operational amplifiers Sampling methods Digital signal processing Very large scale integration Feedback Circuit analysis Energy consumption Transfer functions Voltage

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Development and Application of Software for ATC Calculation

Development and Application of Software for ATC Calculation

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International Conference on Power System Technology (POWERCON)

作者： Rong-fu Sun Yue Fan Yong-hua Song Yuan-zhang Sun Department of Electrical Engineering Tsinghua University Beijing China Northwest China Grid Company Xi'an Shanxi Province China School of Engineering and Design Brunel University London UK Key Laboratory of Complex Systems and Intelligence Science Institute of Automation Chinese Academy of Sciences Beijing China

In the environment of the power market, available transfer capability (ATC) is a measure of transfer capability remaining in the physical transmission network for future commercial activity over and above already committed uses, then it is an important parameter for all companies participating in the power transmission activities. Widely used ATC calculation software-Powerworld simulates power transfer increment through decreasing generation output in sink area (receiving-end) using the repeated power flow method, but this simulation model does not accord with the actual circumstances of electricity shortage in China. In this paper, a combined method including linear distribution factors and repeated power flow (RPF) is proposed to perform ATC calculation, meanwhile, two scenarios can be selected to simulate power transfer increment: One is to increase the total generation output in source area as the load in sink area increases; The other is to decrease the same amount of generation in sink area while the generation output in source area is to be increased. According to the tests applied in the Northwest China power network to perform ATC calculation and analysis, this method guarantees more exact results by simulating actual transfer increasing mode of the Northwest China power network.

关键词： Application software Power generation Load flow Power markets Power measurement Particle measurements Power transmission Testing Performance evaluation Performance analysis

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An Improved Particle Swarm Optimization and Its Application to Power System Transfer Capability Calculation

An Improved Particle Swarm Optimization and Its Application ...

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International Conference on Power System Technology (POWERCON)

作者： Chang-hua Zhang Rong-fu Sun Chong-xu Liu Yue Fan Shuan-bao Niu Yong-hua Song Key Laboratory of Complex Systems Intelligence Science Institute of Automation Chinese Academy and Sciences Beijing China Department of Electrical Engineering Tsinghua University Beijing China Northwest China Grid Company Limited Xi'an Shanxi China School of Engineering and Design Brunei University London UK

In this paper, an algorithm based on particle swarm optimization (PSO) for power system transfer capability calculation is presented. A dual fitness scheme that takes both objective and constraint into account is adopted to evaluate the survival chance of any particle, thus avoid the drawbacks of traditional penalty method. In the evolution process, if the population best particle has no update during a prescribed number of consecutive generations, it is regarded as a local optimum solution and the searching space around this particle is locked to prevent other particles flying into it. And this particle is saved as one of the candidate solution. In the end, by comparing the fitness of all saved particles and the current population best particle, the optimum value can be obtained. This improved particle swarm algorithm is then successfully applied to IEEE118 bus system optimization problem. Compared with a traditional well-known method, sequential quadratic programming (SQP), our proposal obtains better solutions for this problem.

关键词： Particle swarm optimization Power systems Power system reliability Optimization methods Power generation Power system modeling Sun Load flow Mathematical model Equations

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