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Congress on Evolutionary Computation

作者： Zhen Ji Tao Tian Shan He Zexuan Zhu Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China School of Computer Science University of Birmingham Edgbaston Birmingham UK

ISBN: (纸本)9781467315104

This paper proposes a memory binary particle swarm optimization algorithm (MBPSO) based on a new updating strategy. Unlike the traditional binary PSO, which updates the binary bits of a particle ignoring their previous status, MBPSO memorizes the bit status and updates them according to a new defined velocity. As such, precious historical information could be retained to guide the search. The velocity vector of MBPSO is designed as a probability for deciding whether the particle bits change or not. The proposed algorithm is tested on four discrete benchmark functions. The experimental results reported over 100 runs show that MBPSO is capable of obtaining encouraging performance in discrete optimization problems.

关键词： Particle swarm optimization Optimization Benchmark testing Algorithm design and analysis Educational institutions Cities and towns

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Scaling Laws of Multicast Capacity for Power-Constrained Wireless Networks under Gaussian Channel Model

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IEEE Transactions on computers 2012年第5期61卷 713-725页

作者： Cheng Wang Changjun Jiang Xiang-Yang Li Shaojie Tang Yuan He Xufei Mao Yunhao Liu Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science and Engineering Building of Electronics and Information Engineering University of Tongji Shanghai China Department of Computer Science Illinois Institute of Technology Chicago IL USA Tsinghua National Laboratory for Information Science and Technology (TNLIST) Tsinghua University Beijing China Department of Computer Science and Engineering University of Tongji China Department of Computer Science Hong Kong University of Science and Technology Kowloon Hong Kong China Tsinghua National Laboratory for Information Science and Technology (TNLIST) School of Software Tsinghua University Beijing China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing China

We study the asymptotic networking-theoretic multicast capacity bounds for random extended networks (REN) under Gaussian channel model, in which all wireless nodes are individually power-constrained. During the transmission, the power decays along path with attenuation exponent α >; 2. In REN, n nodes are randomly distributed in the square region of side length √n. There are n s randomly and independently chosen multicast sessions. Each multicast session has n d + 1 randomly chosen terminals, including one source and n d destinations. By effectively combining two types of routing and scheduling strategies, we analyze the asymptotic achievable throughput for all n s = ω(1) and nd. As a special case of our results, we show that for n s = Θ(n), the per-session multicast capacity for REN is of order Θ(1/√n d n) when nd = O(n/(log n) a+1 ) and is of order Θ(1/n d · (log n) -n/2 ) when n d = Ω(n/log n).

关键词： Lattices Throughput Upper bound Road transportation Receivers Interference Routing

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Asymptotic throughput for large-scale wireless networks with general node density

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Wireless Networks 2012年第5期19卷 559-575页

作者： Cheng Wang Changjun Jiang Xiang-Yang Li Yunhao Liu Department of Computer Science Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China The Tsinghua National Laboratory for Information Science and Technology (TNLIST) Department of Computer Science and Engineering Tongji University Shanghai China The Department of Computer Science Illinois Institute of Technology Chicago USA The TNLIST and School of Software Tsinghua University Beijing China CSE The Hong Kong University of Science and Technology Kowloon Hong Kong

We study the asymptotic throughput for a large-scale wireless ad hoc network consisting of n nodes under the generalized physical model. We directly compute the throughput of multicast sessions to unify the unicast and broadcast throughputs. We design two multicast schemes based on the so-called ordinary arterial road system and parallel arterial road system, respectively. Correspondingly, we derive the achievable multicast throughput by taking account of all possible cases of n s = ω(1) and 1 ≤ n d ≤ n − 1, rather than only the cases of $$n_s=\Uptheta(n)$$ as in most related works, where n s and n d denote the number of sessions and the number of destinations of each session, respectively. Furthermore, we consider the network with a general node density $$\lambda \in [1,n]$$ , while the models in most related works are either random dense network (RDN) or random extended network (REN) where the density is λ = n and λ = 1, respectively, which further enhances the generality of this work. Particularly, for the special case of our results by letting λ = 1 and $$n_s=\Uptheta(n)$$ , we show that for some regimes of n d , the multicast throughputs achieved by our schemes are better than those derived by the well-known percolation-based schemes.

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CLEF-IP 2012: Retrieval experiments in the intellectual property domain

CLEF-IP 2012: Retrieval experiments in the intellectual prop...

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2012 Cross Language Evaluation Forum Conference, CLEF 2012

作者： Piroi, Florina Lupu, Mihai Hanbury, Allan Magdy, Walid Sexton, Alan P. Filippov, Igor Vienna University of Technology Institute of Software Technology and Interactive Systems Favoritenstrasse 9-11 Vienna1040 Austria Qatar Computing Research Institute Qatar Foundation Doha Qatar University of Birmingham School of Computer Science Edgbaston BirminghamB15 2TT United Kingdom Chemical Biology Laboratory SAIC-Frederick Inc. Frederick National Lab FrederickMD21702 United States

The Clef-Ip test collection was first made available in 2009 to support research in IR methods in the intellectual property domain. Since then several kinds of tasks, reflecting various specific parts of patent expert's work flows, have been organized. We give here an overview of the tasks, topics, assessments and evaluations of the Clef-Ip 2012 lab.

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SelectCast: Scalable data aggregation scheme in wireless sensor networks

SelectCast: Scalable data aggregation scheme in wireless sen...

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IEEE INFOCOM 2011

作者： Wang, Cheng Tang, Shaojie Li, Xiang-Yang Jiang, Changjun Department of Computer Science Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science Illinois Institute of Technology Chicago IL 60616 United States TNLIST School of Software Tsinghua University China

ISBN: (纸本)9781424499212

In this work, for a wireless sensor network (WSN) of n randomly placed sensors with node density λ ∈ [1, n], we study the tradeoffs between the aggregation throughput and gathering efficiency. The gathering efficiency refers to the ratio of the number of the sensors whose data have been gathered to the total number of sensors. Specifically, we design two efficient aggregation schemes, called single-hop-length (SLH) scheme and multiple-hop-length (MLH) scheme. By novelly integrating these two schemes, we theoretically prove that our protocol achieves the optimal tradeoffs, and derive the optimal aggregation throughput depending on a given threshold value (lower bound) on gathering efficiency. Particularly, we show that under the MLH scheme, for a practically important set of symmetric functions called perfectly compressible functions, including the mean, max, or various kinds of indicator functions, etc., the data from Θ(n) sensors can be aggregated to the sink at the throughput of a constant order Θ(1), implying that our MLH scheme is indeed scalable. © 2011 IEEE.

关键词： Efficiency

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Closed loop physiological ECMO control

Closed loop physiological ECMO control

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作者： Walter, M. Brendle, C. Bensberg, R. Kopp, R. Arens, J. Stollenwerk, A. Leonhardt, S. Philips Department of Medical Information Technology RWTH Aachen University Pauwelsstrasse 20 Aachen Germany Department of Computer Science 11 RWTH Aachen University Embedded Software Laboratory Germany Department of Cardiovascular Engineering Institute of Applied Medical Engineering RWTH Aachen University Germany Clinic of Operative Intensive Care University Hospital Aachen Germany

Patients suffering acute lung failure depend on artificial ventilation in order to survive. In severe cases, this therapy may not be sufficient any more and long term extracorporeal membrane oxygenation (ECMO) may be used as a last chance rescue therapy. Adapted from short term cardiopulmonary bypass, these machines now need an increased ability for autonomous and unsupervised operation. Apart from the material aspects (hemolysis and long term biocompatibility), a prerequisite for safe and reliable operation is the implementation of an adequate automation and safety scheme. Extending previous work [1,2] where we focused on machine internal control and the modeling of the biological process, this paper presents an integrated control of the physiological target values. © 2011 Springer-Verlag Berlin Heidelberg.

关键词： Oxygenation

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Probabilistic Error Propagation Modeling in Logic Circuits

Probabilistic Error Propagation Modeling in Logic Circuits

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IEEE International Conference on software Testing Verification and Validation Workshop, ICSTW

作者： Shekhar Gupta Arjan J.C. van Gemund Rui Abreu Embedded Software Laboratory Faculty Electrical Engineering Mathematics and Computer Science Delft University of Technnology Delft Netherlands Software Engineering Laboratory Faculty of Engineering University of Porta Porto Portugal

Recent study has shown that accurate knowledge of the false negative rate (FNR) of tests can significantly improve the diagnostic accuracy of spectrum-based fault localization. To understand the principles behind FNR modeling in this paper we study three error propagation probability (EPP) modeling approaches applied to a number of logic circuits from the 74XXX/ISCAS-85 benchmark suite. Monte Carlo simulations for random injected faults show that a deterministic approach that models gate behavior provides high accuracy (O(1%)), while probabilistic approaches that abstract from gate modeling generate higher prediction errors (O(10%)), which increase with the number of injected faults.

关键词： Integrated circuit modeling Logic gates Circuit faults Computational modeling Probabilistic logic Numerical models Predictive models

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On multicast throughput scaling of hybrid wireless networks with general node density

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computer Networks 2011年第15期55卷 3548-3561页

作者： Cheng Wang Changjun Jiang Xiang-Yang Li Yunhao Liu Department of Computer Science and Technology Tongji University Shanghai China Key Laboratory of Embedded System and Service Computing Ministry of Education China Department of Computer Science Illinois Institute of Technology Chicago IL 60616 United States TNLIST School of Software Tsinghua University China

In this paper, we consider hybrid wireless networks with a general node density λ ∈ [1, n ], where n ad hoc nodes are uniformly distributed and m base stations (BSs) are regularly placed in a square region A ( n , A ) = 1 , A × 1 , A with A ∈ [1, n ]. We focus on multicast sessions in which each ad hoc node as a user chooses randomly d ad hoc nodes as its destinations. Specifically, when d = 1 (or d = n − 1), a multicast session is essentially a unicast (or broadcast) session. We study the asymptotic multicast throughput for such a hybrid wireless network according to different cases in terms of m ∈ [1, n ] and d ∈ [1, n ], as n → ∞. To be specific, we design two types of multicast schemes, called hybrid scheme and BS - based scheme , respectively. For the hybrid scheme, there are two alternative routing backbones : sparse backbones and dense backbones . Particularly, according to different regimes of the node density λ = n A , we derive the thresholds in terms of m and d . Depending on these thresholds, we determine which scheme is preferred for the better performance of network throughput.

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PSO based memetic algorithm for face recognition Gabor filters selection

PSO based memetic algorithm for face recognition Gabor filte...

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IEEE Workshop on Memetic Computing (MC)

作者： Jiarui Zhou Zhen Ji Linlin Shen Zexuan Zhu Siping Chen Shenzhen City Key Laboratory of Embedded System Design College of Computer Science and Software Engineering Shenzhen University Shenzhen China College of Biomedical Engineering and Instrument Science University of Zhejiang Hangzhou China

A Gabor filters based face recognition algorithm named POMA-Gabor is proposed in this paper. The algorithm uses particular Gabor wavelets in the feature extraction on specific areas of the face image and a particle swarm optimization (PSO) based memetic algorithm (POMA), which combines comprehensive learning particle swarm optimizer (CLPSO) global search and self-adaptive intelligent single particle optimizer (AdpISPO) local search, is introduced to select the Gabor filter parameters. The experimental results demonstrate that POMA obtains better performance than other comparative PSO algorithms. Employing POMA for Gabor filter design, POMA-Gabor is capable of obtaining more representative information and higher recognition rate with less computational time.

关键词： Algorithm design and analysis Face recognition Feature extraction Optimization Face Equations Databases

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SelectCast: Scalable data aggregation scheme in wireless sensor networks

SelectCast: Scalable data aggregation scheme in wireless sen...

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IEEE Annual Joint Conference: INFOCOM, IEEE computer and Communications Societies

作者： Cheng Wang Shaojie Tang Xiang-Yang Li Changjun Jiang Key Laboratory of Embedded System and Service Computing Ministry of Education Shanghai China Department of Computer Science University of Tongji Shanghai China Department of Computer Science Illinois Institute of Technology Chicago IL USA TNLIST School of Software Tsinghua University China

关键词： TV Wireless sensor networks Power capacitors Blogs Lattices

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