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Underwater image enhancement via pulse coupled neural networks with human visual characteristics

Journal of Computational Information Systems 2014年第13期10卷 5465-5471页

作者： Li, Yibing Fu, Qiang Liu, Dandan College of Information and Communication Engineering Harbin Engineering University Harbin China Institute of Electrical and Control Engineering Heilongjiang University of Science and Technology Harbin China

Image enhancement is an important step among pre-processing techniques and very meaningful to the following steps. In order to enhance the low contrast underwater images, the Pulse coupled neural networks (PCNN) based homomorphic enhancement method has been proposed. The proposed method meanwhile takes human visual characteristic into consideration and the output results turn out to be improved and the detail vivid. The logarithmic transformation will first be made to the image and then the PCNN enhancement will be conducted, at last exponential transformation will restore the enhanced image. Compared with other single enhancement method, the simulation applied demonstrates the proposed method effective. © 2014 by Binary Information Press

关键词： Image enhancement

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Many Is Better Than All: Efficient Selfish Load Balancing in Mobile Crowdsourcing Systems

Many Is Better Than All: Efficient Selfish Load Balancing in...

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International Conference on Advanced Cloud and Big Data (CBD)

作者： Qingyu Li Panlong Yang Shaojie Tang Chaocan Xiang Fan Li China Satellite Maritime Tracking and Control Department China College of Communication Engineering PLA University of Science and Technology China University of Texas at Dallas USA Logistic Engineering University of PLA China Beijing Institute of Technology China

In this work, we investigate the selfish load balancing problem in mobile distributed crowdsourcing networks. Conventional methods heavily relied on cooperations among users to achieve balanced resource utilization in platform-centric view. In achieving fairly low communication and computational overhead, and maintaining good load balancing property among selfish users, we resort to the 'd-choice' method based on 'Ball and Bin' theory [1] for balancing with limited information, and proliferate the 'Proportional Allocation' [2] scheme for selfish load balancing. We combine the good properties in aforementioned schemes and propose 'Chance-Choice', a lightweight distributed load balancing scheme for selfish users with fast convergence property. We find that, even with limited information, the balancing performance could be improved significantly, under the rule of opportunistic offloading and selfish behavior. Extensive evaluations have been made to show that, 'Chance-Choice' outperforms several existing algorithms. Typically, comparing with 'Proportional Allocation' scheme [2], ours could decrease the load gap by 50% to 80%, and reduce the overhead complexity from O(n) to O(1) comparing with the 'Max-weight Best Response' algorithm [3], where n denotes the number of mobile users in crowdsourcing system.

关键词： Mobile communication Load management Crowdsourcing Resource management Mobile computing Nash equilibrium Algorithm design and analysis

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Distributed power control algorithm for cognitive radio networks based on geometric programming

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Journal of Information and Computational Science 2014年第13期11卷 4747-4757页

作者： Chen, Lingling Zhao, Xiaohui Key Laboratory of Information Science College of Communication Engineering Jilin University Changchun China College of Information and Control Engineering Jilin Institute of Chemical Technology Jilin China

In order to improve spectrum efficiency in Cognitive Radio Networks (CRNs), a standard distributed optimal power control strategy with high Signal to Interference Plus Noise Ratio (SINR) based on maximization of data rate for each Second User (SU) under two constraints (maximum transmit power of each SU at all subcarriers and maximum tolerated interference power for Primary Users (PUs) at each subcarrier) is proposed in Orthogonal Frequency-division Multiplexing (OFDM) framework. Considering nonconvexity of our objective function, Geometric Programming (GP) is introduced to transform it into a convex optimization problem. Using Lagrange relaxation of the coupling constraints method and subgradient iterative algorithm in a distributed way, this dual problem is solved. To enhance the Quality of Service (QoS) requirements for SUs at each subcarrier, an improved algorithm is also presented. Numerical simulation results show that both the standard algorithm and the improved algorithm are all superior to the traditional IWFA in data rate of each SU, convergence speed, and computational complexity. Copyright © 2014 Binary Information Press.

关键词： Orthogonal frequency division multiplexing

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Power control algorithm for cognitive radio based on chaos particle swarm optimization

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Journal of Information and Computational Science 2014年第12期11卷 4277-4287页

Power control is one of key technologies for Cognitive Radio Networks (CRNs) since it can protect Primary Users (PUs) in the networks and guarantee Quality of Service (QoS) requirements for Second Users (SUs). In this paper, for an underlay CRNs in the scenario of the presence of multiple SUs and PUs, a novel power control approach with the objective to minimize total power consumption of SUs is proposed based on Chaos Particle Swarm Optimization (CPSO). The approach takes three constraints (minimum accepted SINR, maximum transmit power of SUs as well as maximum tolerated interference power for PUs) into account. The utility functions and constraints of original optimization problem are transformed into a related penalty function by CPSO approach. Simulation results indicate that the proposed CPSO algorithm can reduce total transmit power consumption, obtain faster convergence rate and improve searching quality compared with the standard Particle Swarm Optimization (PSO) and the Adaptation Particle Swarm Optimization (APSO) algorithms respectively. © 2014 Binary Information Press

关键词： Cognitive radio

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Review of the application of finite element model updating to civil structures

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Key engineering Materials 2014年第1期574卷 107-115页

作者： Wang, Dejun Tan, Zhicheng Li, Yang Liu, Yang School of Transportation Science and Engineering Harbin Institute of Technology Harbin 150090 China Key Laboratory of Advanced Material and Intelligent Control Technology on Transportation Safety Ministry of Communication 150090 China

ISBN: (纸本)9783037858172

Structural finite element model (FEM) updating in dynamics usually deemed the measured modal parameters as the goal. By modifying the theoretical FEM, the updated modal parameters obtained by the analytical FEM would finally tend to the testing results. But the own complexity of the civil structure leads the optimization problem of FEM updating to be super-size and high non-linear performance. Moreover, the uncertainty and nonuniformity of the structures, material and the environment effect cause the uncertainty of the updating parameters, even the optimization objective function of FEM updating. These features has brought greater difficulty to the model updating in civil engineering structure, especially for the application field. Therefore, in this paper several kinds of methods for FEM updating would be introduced with the comparison of their advantages, disadvantages and the range of application. At the end of this paper, the problems remained to be solved in FEM updating of civil structures are to be presented. © (2014) Trans Tech Publications.

关键词： Structural optimization

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An analysis method for correlation between catenary irregularities and pantograph-catenary contact force

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Journal of Central South University 2014年第8期21卷 3353-3360页

作者：秦勇张媛程晓卿贾利民邢宗义 State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University) School of Mechanical Engineering Beijing Institute of Graphic Communication School of Automation Nanjing University of Science and Technology

Pantograph-catenary contact force provides the main basis for evaluation of current quality collection; however,the pantograph-catenary contact force is largely affected by the catenary *** analyze the correlated relationship between catenary irregularities and pantograph-catenary contact force,a method based on nonlinear auto-regressive with exogenous input(NARX) neural networks was ***,to collect the test data of catenary irregularities and contact force,the pantograph/catenary dynamics model was established and dynamic simulation was conducted using MATLAB/***,catenary irregularities were used as the input to NARX neural network and the contact force was determined as output of the NARX neural network,in which the neural network was trained by an improved training mechanism based on the regularization *** simulation results show that the testing error and correlation coefficient are 0.1100 and 0.8029,respectively,and the prediction accuracy is *** the comparisons with other algorithms indicate the validity and superiority of the proposed approach.

关键词： catenary irregularities pantograph-catenary contact force NARX neural networks correlation analysis

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Adaptive fuzzy control of output-constrained switched nonlinear systems

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ICIC Express Letters 2015年第12期9卷 3355-3362页

作者： Niu, Ben Liu, Yanli Shen, Mouquan School of Control Science and Engineering Dalian University of Technology No. 2 Linggong Road Ganjingzi District Dalian China College of Mathematics and Physics Bohai University No. 19 Keji Road New Songshan District Jinzhou China Automation Research Institute Bohai University No. 19 Keji Road New Songshan District Jinzhou China College of Electrical Engineering and Control Science Nanjing Technology University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

In this paper, the problem of adaptive fuzzy tracking control is considered of uncertain switched nonlinear systems with an output constraint. First, a barrier Lyapunov function (BLF) is employed to deal with the output constraint. Then fuzzy logic systems are used to approximate the unknown nonlinearities and backstepping technique is employed to construct an adaptive fuzzy controller. The designed controller guarantees all the closed-loop signals remain bounded while the system output converges to a small neighborhood of the desired reference signal without violating the constraint. An example is given to demonstrate the validity of the developed result. © 2015 ICIC International.

关键词： Lyapunov functions

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Research of data mining and network coverage optimization in early warning model of chlorine gas monitoring wireless sensor network

Research of data mining and network coverage optimization in...

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International Conference on Software Intelligence Technologies and Applications and International Conference on Frontiers of Internet of Things, 2014

作者： Yunbo, Shi Congning, Liu Rongxin, Wang Yushan, Zhou Yiwei, Zhang Debin, Xiu Higher Educational Key Laboratory for Measuring and Control Technology and Instrumentation of Heilongjiang Province Institute of Measurement-Control Technology and Communications Engineering Harbin University of Science and Technology Harbin China

ISBN: (纸本)9781849199704

Massive historical data are stored in chlorine gas monitoring network. So that prediction algorithm of data mining is used to dig historical data not only can make the redundant data reused, but also can forecast the network trend and improve the network early warning model. The chlorine gas monitoring wireless sensor network based on ZigBee was designed in this paper. Then Fletcher-Reeves algorithm was added to dig historical data in the network, forecast the network trend and improve the early warning model. To avoid network monitoring blind areas and save the number of monitoring nodes, the coverage optimal mathematical model of chlorine monitoring wireless sensor network is established. The optimal matching of the node number and the network coverage is realized by using artificial fish-swarm algorithm. The predicted concentration of chlorine data were trained by data mining model. The maximum relative error between predicted concentration and measured concentration was 11.08%, and the maximum average error was 7.36%. And it can satisfy actual requirements.

关键词： Data mining

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Research on mud pulse signal extraction and recognition algorithm in MWD

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Energy Education Science and technology Part A: Energy Science and Research 2014年第3期32卷 1889-1902页

作者： Tu, Bing Zhang, Xiaofei Zhan, Tengxi Zhang, Wei Hunan Institute of Science and Technology School of Information and Communication Engineering Yueyang 414006 China College of Hunan Province Key Laboratory of Optimization and Control for Complex Systems Yueyang 414006 China

Mud pulse signal extracting in Wireless measure while drilling (MWD) was a core technology in the process of oil drilling development. Whether the resolution of detected mud pulse signal start point location is accurate or not in ground decoding system would directly affect the accurate level of decoding. For the resolution problems of mud pulse signal start time position, this paper analyzed the transmission format of Manchester coded down-hole datum and transmission characteristics of mud pulse signal, using a wavelet multi-scale and related de-noising algorithm to extract mud pulse signal. According to the characteristics of the Manchester coded underground synchronization signal, It proposed an algorithm based on the combination of equal segmentations within a signal period and waveform correlation to accurately define the mud pulse signal starting time. After extracting the start time position, establishing the pulse signal recognition model within two cycles and using a pattern recognition algorithm to recognize mud pulse signal. The field tests show that the algorithm can accurately define the mud pulse signal starting time and can effectively improve the decoding accuracy and meet the requirements of engineering applications. © Sila Science. All rights reserved.

关键词： Pattern recognition

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Guest Editorial for Special Issue on Extensions of Reinforcement Learning and Adaptive control

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IEEE/CAA Journal of Automatica Sinica 2014年第3期1卷 225-226页

作者： Frank L.Lewis Warren Dixon Zhongsheng Hou Tansel Yucelen Institute of Measurement&Control PE TexasU.K IEEE Control Systems Society(CSS) Operations for the Executive Committee of the IEEE CSS Board of Governors the Harbin Institute of Technology the Advanced Control Systems Lab Beijing Jiaotong University the Department of Automatic Control in School of Electronic and Information Engineering Beijing Jiaotong University Mechanical and Aerospace Engineering Department at the Missouri University of Science and Technology Advanced Systems Research Laboratory at the Missouri University of Science and Technology

ADAPTIVE control is a proven method for learning feedback controllers for systems with unknown dynamic models,exogenous disturbances,nonzero setpoints,and unmodeled *** control has been applied for years in process co... 详细信息

关键词： Special issues and sections Learning (artificial intelligence) Adaptive control Feedback

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