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A statistical method for no-reference image quality assessment

Journal of Computational Information Systems 2014年第16期10卷 7203-7212页

作者： Lu, Fangfang Zhao, Qunfei Liu, Huanxi College of Computer Science and Technology Shanghai University of Electric Power Shanghai China Key Laboratory of System Control and Information Processing Department of Automation Shanghai Jiao Tong University Shanghai China

This paper proposes a statistical method for no-reference image quality assessment using steerable pyramid decomposition without any prior knowledge about the distortions of the original image. Because the means of (log2 of) subband coefficient amplitudes (MLSCAs) of the natural images have certain statistical properties independent of their contents, a predicted MLSCAs based on these properties can be considered as a reference index for describing the distorted images. A subband distortion is then defined as the difference between the predicted and real MLSCA of the distorted image. A set of weights for the subbands is used to combine the subband distortions into a quality score. Experimental results show that the proposed method outperforms six no-reference algorithms using natural scene statistics. 1553-9105/Copyright © 2014 Binary Information Press

关键词： Statistics

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Distributed Cooperative Voltage Equalization for Series-Connected Super-Capacitors

Distributed Cooperative Voltage Equalization for Series-Conn...

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American control Conference

作者： Jiangang Liu Zhiwu Huang Jun Peng Jing Wang School of Information Science and Engineering in Central South University Hunan Engineering Laboratory for Advanced Control and Intelligent Automation Changsha 410075 China Department of Electrical and Computer Engineering Bradley University 1501 West Bradley Ave Peoria IL 61625 USA

ISBN: (纸本)9781479917730

In this paper, we propose a distributed cooperative voltage equalization strategy in order to balance the voltages of the series-connected super-capacitors, which is the power supply of energy storage light rail vehicles. Taking each super-capacitor cell as an agent in multi-agent systems, the voltage equalization problem can be formulated as a cooperative tracking problem. The sparse communication network among the super-capacitors in the cyber layer can be modeled by a digraph. As the voltage changes within a limited range, a general saturation function is put forward to guarantee the boundedness of the control input. Based on the nearest neighborhood rule, a bounded voltage equalization controller with tunable control gains is designed accordingly. The proposed voltage equalization methodology is distributed and not using a central controller. Each super-capacitor cell only need its voltage information and its neighbors, the desired control objective can be accomplished by local interaction in a cooperative way. Under the assumption that the digraph has a spanning tree, the asymptotically stability of the overall close-loop system is rigorously proved with the aid of a novel Lyapunov function integrating Lasalle invariant principle. The voltage equalization has been achieved by the proposed cooperative control approach, which is verified by the simulations. under different initial conditions, cooperative objectives and different network sizes.

关键词： Supercapacitors directed graphs control input Electric Power Source Induction loop systems networks(communications) Liapunov function Distribute

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Small universal simple spiking neural P systems with weights

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Science China(Information Sciences) 2014年第9期57卷 19-29页

作者： ZENG XiangXiang PAN LinQiang PREZ-JIMNEZ Mario J. Key Laboratory of Image Processing and Intelligent Control School of AutomationHuazhong University of Science and Technology Department of Computer Science and Artificial Intelligence University of SevillaAvda. Reina Mercedes s/nSevilla 41012Spain

Spiking neural P systems with weights(WSN P systems,for short)are a new variant of spiking neural P systems,where the rules of a neuron are enabled when the potential of that neuron equals a given *** is known that WSN P systems are universal by simulating register ***,in these universal systems,no bound is considered on the number of neurons and *** this work,a restricted variant of WSN P systems is considered,called simple WSN P systems,where each neuron has only one *** complexity parameter,the number of neurons,to construct a universal simple WSN P system is *** is proved that there is a universal simple WSN P system with 48 neurons for computing functions;as generator of sets of numbers,there is an almost simple(that is,each neuron has only one rule except that one neuron has two rules)and universal WSN P system with 45 neurons.

关键词： bio-inspired computing membrane computing P system spiking neural P system universal computing device

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Enhancement of lost ore production efficiency by usage of canopies

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Metallurgical and Mining Industry 2015年第4期7卷 325-329页

作者： Golik, Vladimir Komashchenko, Vitaly Morkun, Vladimir Zaalishvili, Vladislav Geophysical institute of the Vladikavkaz Russian Academy of Sciences Vladikavkaz Russia Belgorod State National Research University Belgorod Russia Computer Science Automation and Control Systems department State Higher Educational Institution Kryvyi Rih National University Ukraine Geophysical institute Vladikavkaz scientific center RAS Russia

Characteristic of the problem of lost ore production is given. The results of usage of metal-cable, wood-cable and cable-stayed load-bearing and transecting canopies in ore mine practice are given. Parameters of construction of continuous load-bearing ferroconcrete ceiling are presented in details. The conclusion that lost ore production increases raw material base and restores the health of the economy of mining enterprises is made. © Metallurgical and Mining Industry, 2015.

关键词： Ores

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Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption

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IEEE Transactions on Neural Networks and Learning Systems 2015年第7期26卷 1493-502页

作者： Wen, Shiping Zeng, Zhigang Huang, Tingwen Meng, Qinggang Yao, Wei School of Automation Huazhong University of Science and Technology China and the Key Laboratory of Image Processing and Intelligent Control Wuhan 430074 China Texas A and M University at Qatar Doha 23874 Qatar Department of Computer Science Loughborough University Loughborough LE11 3TU United Kingdom School of Computer Science South-Central University for Nationalities Wuhan 430074 China

This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the output of the system in the case of packed circuits, since it is hard to measure the inner state of the circuits. Thus, it is critical to design the controller based on the neuron activation function. Comparing the results, in this paper, with the existing ones shows that we improve and generalize the results derived in the previous literature. Several examples are also given to illustrate the effectiveness and potential applications in image encryption.

关键词： Cryptography

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Stochastic Packet Scheduling for Optimal Parameter Estimation

Stochastic Packet Scheduling for Optimal Parameter Estimatio...

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IEEE Annual Conference on Decision and control

作者： Duo Han Keyou You Lihua Xie Junfeng Wu Ling Shi School of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Automation Tsinghua University Beijing 100084 China Department of Automatic Control The Royal Institute of Technology (KTH) Stockholm Sweden Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

In this paper we consider optimal parameter estimation with a constrained packet transmission rate. Due to the limited battery power and the traffic congestion over a large sensor network, each sensor is required to discard some packets and save transmission times. We propose a packet-driven sensor scheduling policy such that the sensor transmits only the important measurements to the estimator. Unlike the existing deterministic scheduler in [1], our stochastic packet scheduling is novelly designed to maintain the computational simplicity of the resulting maximum-likelihood estimator (MLE). This results in a nice feature that the MLE is still able to be recursively computed in a closed form, and the Cramer-Rao lower bound (CRLB) can be explicitly evaluated. Moreover, an optimization problem is formulated and solved to obtain the optimal parameters of the scheduling policy under which the estimation performance is comparable to the standard MLE (with full measurements) even with a moderate transmission rate. Numerical simulations are included to show the effectiveness.

关键词： Packet optimal parameter Parameter estimation packet schedule Battery power supply scheduling policy traffic congestion Sensors Sensor networks closed forms Stochastic

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+cloud: A virtual organization of multiagent system for resource allocation into a cloud computing environment

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8670卷 164-181页

作者： Prieta, Fernando De La Rodríguez, Sara Bajo, Javier Corchado, Juan M. Department of Computer Science and Automation Control University of Salamanca Plaza de la Merced s/n Salamanca37007 Spain Department of Artificial Intelligence Technical University of Madrid Campus Montegancedo Boadilla del Monte Madrid28660 Spain

Nowadays Cloud Computing has gained in importance at a remarkable pace. The key characteristic of this technology is the possibility to provide new resources to the services in an elastic way according to current demand. In contrast to Cloud Computing, Multiagent Systems are focus on other features such as autonomy, decentralization, auto-organization, etc. This study demonstrates that this features of MAS are suitable to manage the physical infrastructure of a Cloud Computing environment, in other words, we present +Cloud which is a cloud platform managed by a Multiagent System. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Multi agent systems

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A novel local search approximation algorithm for relay node placement in Wireless Sensor Networks

A novel local search approximation algorithm for relay node ...

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IEEE Conference on Wireless Communications and Networking

作者： Chaofan Ma Wei Liang Meng Zheng Hamid Sharif Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China Department of Computer & Electronics Engineering University of Nebraska-Lincoln Omaha NE USA

ISBN: (纸本)9781479984077

In two-tiered Wireless Sensor Networks (WSNs) relay node placement considering resource constraints and high overhead of the relay nodes plays a key role in extending the network lifetime. Therefore, approaches that support fewer relay nodes are desired to cover the WSNs. In this paper, we formulate the relay node placement problem as a Geometric Disc Covering (GDC) problem, and propose a novel local search approximation algorithm (LSAA) to solve the GDC problem. In the proposed LSAA, the sensor nodes are allocated into independent groups and then a Set Cover (SC) for each group is performed. The set of the SC for each group constitutes a SC of the GDC problem. LSAA is extensively investigated and analyzed by rigorous proof and the simulation results presented in this paper clearly demonstrate that the proposed LSAA outperform the approaches reported in literature in the reduction in deployed relay nodes.

关键词： Relays Approximation methods Approximation algorithms Wireless sensor networks Bridges Time complexity Conferences

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Editorial tnnls special issues and editorial board changes

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IEEE Transactions on Neural Networks and Learning Systems 2014年第1期25卷 1-8页

作者： Liu, Derong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Department of Electrical and Computer Engineering University of Illinois at Chicago Chicago IL 60607 United States

Presents a listing of changes to the Editorial Board for this publication.

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State Estimation of Finite-State Hidden Markov Models Subject to Stochastically Event-triggered Measurements

State Estimation of Finite-State Hidden Markov Models Subjec...

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IEEE Annual Conference on Decision and control

作者： Wentao Chen Junzheng Wang Ling Shi Dawei Shi State Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing 100081 P.R. China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

ISBN: (纸本)9781479978878

We consider the event-triggered state estimation of a finite-state hidden Markov model with a general stochastic event-triggering condition. Utilizing the change of probability measure approach and the event-triggered measurement information available to the estimator, analytical expressions for the conditional probability distributions of the states are obtained, based on which the minimum mean square error event-based state estimates are further calculated. We show that the results also cover the case of packet dropout, under a special parameterization of the event-triggering conditions. With the results on state estimation, a closed-form expression of the average sensor-to-estimator communication rate is also presented. The effectiveness of the proposed results is illustrated by a numerical example and comparative simulations.

关键词： State estimation Hidden Markov models Event trigger Probability distribution Mean square error numerical example

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