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Admission Control with Elastic QoS for Video on Demand Systems

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International Journal of Automation and computing 2012年第5期9卷 467-473页

作者： Fu-Shou Lin 1 Bao-Qun Yin 1,2.Jing Huang 1 Xu-Min Wu 1 1 Key Lab of Anhui network Communication System and Control, university of {2. and technology of china, Hefei 2.002., china 2.National network New Media Engineering Research center, Institute of Acoustics, Chinese Academy of {2., Beijing 100190, china 1. Key Lab of Anhui network Communication System and Control University of Science and Technology of China Hefei 230027 China 2. National network New Media Engineering Research center Institute of Acoustics Chinese Academy of Science Beijing 100190 China

In network service systems, satisfying quality of service (QoS) is one of the main objectives. Admission control and resource allocation strategy can be used to guarantee the QoS requirement. Based on partially observable Markov decision processes (POMDPs), this paper proposes a novel admission control model for video on demand (VOD) service systems with elastic QoS. Elastic QoS is also considered in resource allocation strategy. Policy gradient algorithm is often available to find the solution of POMDP problems, with a satisfactory convergence rate. Through numerical examples, it can be shown that the proposed admission control strategy has better performance than complete admission control strategy.

关键词： Partially observable Markov decision processes (POMDPs) admission control resource allocation elastic quality of service (QoS) policy gradient

Multi-robot cooperative localization based on autonomous motion state estimation and laser data interaction

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science china({2. sciences) 2010年第11期53卷 2240-2250页

作者： ZHUANG Yan, GU MingWei, WANG Wei & YU HaiYang Research center of information and Control, Dalian {2. of technology, Dalian 10602., china 1. Research center of information and Control Dalian University of Technology Dalian 106024 China

Multi-robot cooperative localization is an important research topic in mobile robotics. This paper mainly studies the problem of cooperative localization based on environment information interaction in unknown complex environment. Considering the effiect of robot motion state on the cooperative localization, we present an algorithm for adaptive selecting periods of the cooperative localization based on autonomous motion state estimation. In order to avoid equipping an extra localization marker on the robot which is needed for direct observation between robots, and to make full use of the interactive information between robots in the same scene, a method for obtaining multi-robot observations based on MbICP algorithm is proposed, which makes multirobot cooperative localization using EKF feasible and reliable in cluttered environment. Experiment results with the Pioneer 3-DX robots and data analysis show the method’s validity and practicability.

关键词： multi-robot cooperative localization motion state estimation metric-based iterative closest point extended Kalman filter

Algorithms for k-fault tolerant power assignments in wireless sensor networks

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science china({2. sciences) 2010年第12期53卷 2527-2537页

作者： LIU Li 1,2.LI Lian 1,3 & HU Bin 1,4 1 School of information science and Engineering,Lanzhou {2.,Lanzhou 730000,china 2.LRI,Univ Paris-sud and CNRS,Orsay F-91405,France 3 School of Computer and information,Hefei {2. of technology,Hefei 2.0009,china 4 Department of Computing,Birmingham City {2.,Galton Building,Perry Barr,Birmingham B42.2.U,UK 1. School of information science and Engineering Lanzhou University Lanzhou 730000 China2. LRI Univ Paris-sud and CNRS Orsay F-91405 France3. School of Computer and Information Hefei University of Technology Hefei 230009 China4. Department of Computing Birmingham City University Galton Building Perry Barr Birmingham B42 2SU UK

This paper addresses fault-tolerant many-to-many routing power assignments in heterogeneous wire-less sensor *** introduce the k-fault tolerant power assignments problem with the objective of assigning each sensor node transmission power such that(1) any pairwise sensor node is k-vertex connected and(2. the to-tal power consumption is *** propose three solutions for this problem:two centralized algorithms,a greedy algorithm and an O(√n/ε)-approximation algorithm,and an h-hop distributed and localized *** theorems and proofs are presented to prove the correctness of our ***,simulation and experiment results are presented to verify the efficiency of our approaches.

关键词： heterogeneous wireless sensor network fault tolerant power consumption algorithm

Selective Ensemble Extreme Learning Machine Modeling of Effluent Quality in Wastewater Treatment Plants

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International Journal of Automation and computing 2012年第6期9卷 627-633页

作者： Li-Jie Zhao 1,2.Tian-You Chai 2.De-Cheng Yuan 1 1 College of information Engineering,Shenyang university of Chemical {2.,Shenyang 110042.china 2.State Key Laboratory of Synthetical Automation for Process Industries,Northeastern university,Shenyang 110189,china 1. College of information Engineering Shenyang University of Chemical Technology Shenyang 110042 China 2. State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110189 China

Real-time and reliable measurements of the effluent quality are essential to improve operating efficiency and reduce energy consumption for the wastewater treatment *** to the low accuracy and unstable performance of the traditional effluent quality measurements,we propose a selective ensemble extreme learning machine modeling method to enhance the effluent quality *** learning machine algorithm is inserted into a selective ensemble frame as the component model since it runs much faster and provides better generalization performance than other popular learning *** extreme learning machine models overcome variations in different trials of simulations for single *** ensemble based on genetic algorithm is used to further exclude some bad components from all the available ensembles in order to reduce the computation complexity and improve the generalization *** proposed method is verified with the data from an industrial wastewater treatment plant,located in Shenyang,*** results show that the proposed method has relatively stronger generalization and higher accuracy than partial least square,neural network partial least square,single extreme learning machine and ensemble extreme learning machine model.

关键词： Wastewater treatment process effluent quality prediction extreme learning machine selective ensemble model genetic algorithm.

Learning interactions among multi-channel sequences with dynamical influence models

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science china({2. sciences) 2010年第7期53卷 1336-1344页

作者： ZHANG WeiDong, CHEN Feng & XU WenLi Department of Automation, National Laboratory for information science and {2., Tsinghua university, Beijing 100084, china 1. Department of Automation National Laboratory for Information Science and Technology Tsinghua University Beijing 100084 China

Many real applications involve simultaneous recording and analysis of multi-channel information sources. Learning and modeling the interactions among channels is the kernel step to analyze and recognize system characteristics. This paper presents a model that learns the dynamical influence among multi-channel sequences. The model, dynamical influence model, permits functional roles of individual channels to change and models the changing influence strength between channels. By querying the values of influence factors, we can recognize the functional role of each channel qualitatively and learn about to what extent the chains influence each other quantitatively at any time. The experimental results on synthetic data and application of multi-person interaction recognition show that our model is reliable and effective.

关键词： multi-channel processing dynamical interaction influence model activity recognition

A Spatially Weighted Degree Model for network Vulnerability Analysis

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Geo-Spatial information science 2011年第4期14卷 274-281页

作者： WAN Neng1,ZHAN F.Benjamin1,2.CAI Zhongliang2.1.School Texas center for Geographic information {2.,Department of Geography,Texas State university,San Marcos,TX 78666,USA 2.School of Resource and Environmental {2.,Wuhan university,12. Luoyu Road,Wuhan 430079,china School Texas center for Geographic information {2. Department of Geography Texas State University School of Resource and Environmental science Wuhan University

Using degree distribution to assess network vulnerability represents a promising direction of network ***,the traditional degree distribution model is inadequate for analyzing the vulnerability of spatial networks because it does not take into consideration the geographical aspects of spatial *** paper proposes a spatially weighted degree model in which both the functional class and the length of network links are considered to be important factors for determining the node degrees of spatial networks.A weight coefficient is used in this new model to account for the contribution of each factor to the node *** proposed model is compared with the traditional degree model and an accessibility-based vulnerability model in the vulnerabil-ity analysis of a highway *** results indicate that,although node degrees of spatial networks derived from the tra-ditional degree model follow a random distribution,node degrees determined by the spatially weighted model exhibit a scale-free distribution,which is a common characteristic of robust *** to the accessibility-based model,the proposed model has similar performance in identifying critical nodes but with higher computational efficiency and better ability to reveal the overall vulnerability of a spatial network.

关键词： GIS network analysis spatial analysis vulnerability analysis

Software structure evaluation based on the interaction and encapsulation of methods

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science china({2. sciences) 2012年第12期55卷 2816-2825页

作者： ZHENG QingHua 1,2.OU ZhiJiang 1,2.LIU Ting 1,YANG ZiJiang 3,HOU YuQiao 1,2.& ZHENG Chao 1,2.1 MOE Key Laboratory for Intelligent networks and network Security,Xi'an Jiaotong {2.,Xian 710049,china 2.Shaanxi Key Laboratory of Satellite-terrestrial network technology R&D,Xi'an Jiaotong {2.,Xian 710049,china 3 Department of Computer science,Western Michigan {2.,Michigan,USA 1. MOE Key Laboratory for Intelligent networks and network Security Xi’an Jiaotong University Xian 710049 China2. Shaanxi Key Laboratory of Satellite-terrestrial Network Technology R&D Xi’an Jiaotong University Xian 710049 China3. Department of Computer Science Western Michigan University Michigan USA

Software structure is the most important factor affecting the quality of a *** evaluation of software structure is a foundational technique for software ***,the traditional evaluation criteria,such as "high cohesion and low coupling",are no longer appropriate for the new web applications,which are designed with a hierarchical framework.A novel approach is proposed in this paper to evaluate software quality based on the interaction and encapsulation of *** particular,two criteria for high quality software,the functional and hierarchical structure,are proposed to support widely used web *** cohesion and coupling and layer matching ratios between methods within a software package are calculated to determine whether the package is well implemented in terms of functional or hierarchical *** approach enables us to quantify the quality of a software system according to the structural types of its *** were carried out on 18 versions of Struts and six open-source software *** evaluation concurs with the intuition that minor upgrades,aimed at fixing bugs and adding minor functionality quickly,reduce software quality,whereas major upgrades,which normally clean up messy code and re-construct the software,improve software quality.

关键词： software structure evaluation method interaction method encapsulation functional structure hierarchical structure

Research on the application of 4-weighted fractional Fourier transform in communication system

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science china({2. sciences) 2010年第6期53卷 1251-1260页

作者： MEI Lin 1, SHA XueJun 1 , RAN QinWen 2.& ZHANG NaiTong 1 1 Communication Research center, Harbin Institute of technology, Harbin 150080, {2. 2.science Research center, Harbin Institute of technology, Harbin 150080, {2. 1. Communication Research center Harbin Institute of Technology Harbin 150080 China2. Science Research Center Harbin Institute of Technology Harbin 150080 China

The paper reveals the relationship between the weighting coefficients and weighted functions via the research of coefficients matrix and based on the original definition of 4-weighted fractional Fourier transform(4-WFRFT).The multi-parameters expression of weighting coefficients are ***, the 4-WFRFT of discrete sequences is defined by introducing DFT into it, which makes it suitable for digital communication *** analyzing the properties of WFRFT, a typical scheme for modulation/demodulation is proposed, which could make the statistics properties of the real and image part on both of the time and frequency domain and the phase properties have a significant *** a variation could be controlled by the adjustment of transform *** the WFRFT of multi-parameters is implemented, it will be more difficult to intercept and capture the modulated signals than normal.

关键词： 4-weighted fractional Fourier transform modulation/demodulation scheme multi-domain cooperation

The target solution's analysis of university Course Scheduling System

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The target solution's analysis of University Course Scheduli...