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Image authentication and self-recovery scheme based on the rehashing model

Journal of Information Hiding and Multimedia signal processing 2016年第3期7卷 460-474页

作者： Lyu, Wan-Li Chang, Chin-Chen Wang, Feng Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University Hefei230039 China Department of Information Engineering and Computer Science Feng Chia University 100 Wenhwa Rd. Seatwen Taichung40724 Taiwan Department of Computer Science and Information Engineering Asia University Taichung41354 Taiwan Department of Mathematics and Physics Fujian University of Technology FuzhouFujian350108 China

An effective image tamper localization and self-recovery scheme that uses the rehashing model is proposed in this paper. The aim of the proposed scheme was to reduce the failure rate in detecting image tamper areas and achieve high rates of successful detection. To achieve this aim, the proposed scheme uses a set of hash functions which are called the rehashing model, gained an optimal decreasing collision method to detect tamper areas With an improved and accurate tamper detection rate, the tampered image can be recovered more accurately. The quality of the proposed scheme was tested with gray and color images. The experimental results indicated that the proposed scheme has good performance in locating tamper locations and allows image recovery with an acceptable visual quality up to 50% of the image content tampered. © 2016.

关键词： Hash functions

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A co-evolutionary particle swarm optimization with dynamic topology for solving multi-objective optimization problems

Advances in Modelling and Analysis A

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Advances in Modelling and Analysis A 2016年第1期53卷 145-159页

作者： Wu, Daqing Tang, Lixiang Li, Haiyan Ouyang, LiJun Computer Science and Technology Institute University of South China HangyangHunan China Antai College of Economics and Management Shanghai Jiao Tong University Shanghai200240 China Zigong643000 China Key Laboratory of Guangxi High Schools for Complex System and Computational Intelligence Guangxi University for Nationalities Nanning530006 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University HefeiAnhui Province230039 China Department of Business Administration Hunan University of Finance and Economics Hunan410205 China

This paper proposes a multi-objective with dynamic topology particle swarm optimization (PSO) algorithm for solving multi-objective problems, named DTPSO. One of the main drawbacks of classical multi-objective particle swarm optimization algorithm is low diversity. To overcome this disadvantage, DTPSO uses two dynamic local best particles to lead the search particles with multiple populations to deal with multiple objectives, and maintains diversity of new found non-dominated solutions via partitioned the searching space into fixed number of cells. The proposed DTPSO is validated through comparisons with other two multi-objective algorithms using established benchmarks and metrics. Simulation results demonstrated that DTPSO shows competitive, if not better, performance as compared to the other algorithms. © 2016, AMSE Press. All rights reserved.

关键词： Multiobjective optimization

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Reducing the ionospheric dispersion for P-band spaceborne SAR images by Stochastic Parallel Gradient Descent algorithm

Reducing the ionospheric dispersion for P-band spaceborne SA...

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IET International Radar Conference 2015

作者： Shi, Jing-Jing Yao, Bo-Dong Wu, Xian-Liang Key Laboratory of Intelligent Computing and Signal Processing Anhui University Hefei China Hefei Normal University Hefei China East China Research Institute of Electronic Engineering Hefei China

ISBN: (纸本)9781849199940

There has been an increasing interest in the use of spaceborne SAR for measuring forest biomass which requires the use of longer wavelengths for enhanced foliage penetration. However, the propagation characteristics of the wave will be seriously affected by the ionosphere, especially below P-band (500 MHz). In this paper, the ionospheric effects of the spaceborne SAR in range direction are theoretically analyzed. In order to correct those effects, a new method called Stochastic Parallel Gradient Descent (SPGD) algorithm which was already applied in adaptive optics is proposed, and the simulation results verify the effectiveness of this method.

关键词： Synthetic aperture radar

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Distributed CoMP transmission for cell range expansion with almost blank subframe in downlink heterogeneous networks

Distributed CoMP transmission for cell range expansion with ...

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International Conference on intelligent computing and Internet of Things (ICIT)

作者： Yi Wang Yanjun Hu Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei Anhui Province China

ISBN: (纸本)9781479975358

The almost blank subframe (ABS) has been studied in 3GPP as a way to mitigate downlink interference experienced by cell range expansion (CRE) user equipments (UEs). However, the throughput of CRE UEs highly depends on the ratios of ABS which are statically configured in many situations. The coordinated multi-point (CoMP) is one of the key solutions standardized in LTE-A which can be implemented in CRE with ABS to exploit the abundant spatial resources. And distributed cell selection could help guarantee the UEs' performance under different range expansion biases. In this paper, a distributed CoMP method for CRE with ABS is proposed in heterogeneous networks. Simulation results show that our proposed algorithm provides considerable performance gains in the spectrum efficiency with different bias and users settings.

关键词： Algorithm design and analysis Macrocell networks Antennas

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An improved performance metric for multiobjective evolutionary algorithms with user preferences

An improved performance metric for multiobjective evolutiona...

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IEEE Congress on Evolutionary Computation, CEC 2015

作者： Yu, Guo Zheng, Jinhua Li, Xiaodong School of Information Engineering Xiangtan University Hunan China Key Laboratory of Intelligent Computing Information Processing of Ministry of Education China School of Computer Science and IT RMIT University Melbourne Australia

ISBN: (纸本)9781479974924

This paper proposes an improved performance metric for multiobjective evolutionary algorithms with user preferences. This metric uses the idea of decomposition to transform the preference information into m+1 points on a constructed preference-based hyperplane, then calculates the Euclidean distances and the angles between the obtained solutions by algorithms and those obtained m+1 points, respectively. By means of these distances and angles, the proposed metric can evaluate effectively both the convergence and diversity of the obtained solution set, with consideration of the preference information. This makes easier and allows meaningful comparisons between different multiobjective evolutionary algorithms using preference information. © 2015 IEEE.

关键词： Evolutionary algorithms

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Application of a multi-factor model in the grain yield prediction

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Metallurgical and Mining Industry 2015年第8期7卷 468-474页

作者： Chen, Lili Guo, Hongjun Laboratory of Intelligent Information Processing Suzhou University Suzhou Anhui China The Key Laboratory of Intelligent Computing and Signal Processing of MOE Anhui University Hefei Anhui China

A multi-factor model for the grain yield prediction based on the previous data and relevant impacting factors is reported. In this model, the weight coefficient of each individual factor that affected the grain yield historically is analyzed by the variation coefficient method and the conversion degree function in the attribute theory. The effects of various factors on the predicted grain yield are then used as standard vectors and subjected to a similarity-based search in the matrix of historical values. The predicted total grain yield is then determined by multiplying the sown area by the unit grain yield which is obtained by the highest similarity between the historical data and those predicted. Compared to the results obtained by the BP nerve network method, this method is simpler, more flexible, less time-consuming, and more accurate.

关键词： Forecasting

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Spray and Wait Routing Algorithm Based on Transfer Utility of Node in DTN

Spray and Wait Routing Algorithm Based on Transfer Utility o...

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2015 IEEE International Conference on Progress in Informatics and computing(PIC 2015)

作者： Guizhu Wang Mei Shao Run Li Yao Ma Bingting Wang Key Laboratory of Intelligent Computing & Signal Processing Ministry of Education Anhui University Department of Electronic and Electrical Engineering Chuzhou University

Delay Tolerant Networks(DTNs) is a mobile wireless network, in which it is difficult to establish end-to-end paths. Meanwhile, the nodes transmit message copies randomly,resulting in a high overhead of message propagation. In this paper, a Transfer Utility of Node Spray and Wait(TUoN-SNW)routing is proposed to forward the message copies dynamically,which avoid randomness of Spray and Wait routing protocol when message copies are forwarded. And in order to reduce the overhead, a Based on Transfer Utility of Node’s Buffer Scheduling Strategy(BTUoN-BSP) is also applied. Simulation results show that compared with the Spray and Wait(SNW)routing, the algorithms could not only improve the delivery rate but also reduce the overhead of network obviously.

关键词： delay tolerant networks transfer utility spray and wait buffer scheduling strategy

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Cloud removal of remote sensing image based on multi-output support vector regression

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Journal of Systems Engineering and Electronics 2014年第6期25卷 1082-1088页

作者： Gensheng Hu Xiaoqi Sun Dong Liang Yingying Sun Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University School of Electronics and Information Engineering Anhui University

Removal of cloud cover on the satellite remote sensing image can effectively improve the availability of remote sensing images. For thin cloud cover, support vector value contourlet transform is used to achieve multi-scale decomposition of the area of thin cloud cover on remote sensing images. Through enhancing coefficients of high frequency and suppressing coefficients of low frequency, the thin cloud is removed. For thick cloud cover, if the areas of thick cloud cover on multi-source or multi-temporal remote sensing images do not overlap, the multi-output support vector regression learning method is used to remove this kind of thick clouds. If the thick cloud cover areas overlap, by using the multi-output learning of the surrounding areas to predict the surface features of the overlapped thick cloud cover areas, this kind of thick cloud is removed. Experimental results show that the proposed cloud removal method can effectively solve the problems of the cloud overlapping and radiation difference among multi-source images. The cloud removal image is clear and smooth.

关键词： remote sensing image cloud removal support vector regression multi-output

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A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks

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Journal of Computational Information Systems 2014年第24期10卷 10593-10601页

作者： Zhang, Hongwei Li, Fengzhen Zhang, Gongquan Li, Ruzi Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei China

A full-rate distributed transmission scheme for two-way multi-antenna wireless cooperative relay networks is proposed in this paper, which is suitable for the universal bidirectional relay communication model that two source terminals and all relays are equipped with multiple antennas. Orthogonal frequency division multiplexing (OFDM) ways are adopted to complete all information transmissions among different nodes. One whole bidirectional data exchange and transmission process between both source terminals mainly includes two stages. In the first stage, the symbols to be transmitted are jointly coded appropriately at two source terminals during several time slots on each sub-carrier, and then broadcasted to all relay nodes respectively. In the second stage, each OFDM modulation symbol is cyclically delayed with proper cyclic delay value at each relay in time domain. In the amplification and forwarding (AF) process, the operated signals at all relays are transmitted to both source terminals successively in time division (TD) ways, only those antennas performing cooperative relay transmissions at each relay node work together during several proper AF time slots. According to the coding and forwarding rules, one source terminal can obtain the original data from the other terminal after eliminating self-interferences. Finally, the proposed scheme can realize full-rate transmissions with low coding and detection complexity, which is applicable to the general bidirectional relay communication case, the coding process is simple and can be extended to design similar relay schemes easily. Simulation results verify the superiority and effectiveness of the proposed scheme.

关键词： Electronic data interchange

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An adaptive Spray and Wait routing algorithm based on Capability of Node in DTN

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Journal of Information and Computational Science 2014年第6期11卷 1975-1982页

作者： Wang, Guizhu Wang, Jie Wang, Bingting Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education Anhui University Hefei 230039 China

Delay Tolerant Network (DTN) is an intermittently connected network where there is no complete path from source to destination for most of the time, and routing becomes one of the most challenging and open problems in DTN. To deal with this issue and avoid random and blindfold forwarding in Binary Spray and Wait (BSW) routing, we present the concept of CoN (Capability of Node), then propose the CoN-ASW routing algorithm, which uses the CoN to calculate the number of message copies to be forwarded and determine whether to forward messages to the encounter node. The simulation results show that the proposed algorithm can significantly improve the delivery utility while enhancing delivery rate and reduce the overhead. © 2014 Binary Information Press.

关键词： Delay tolerant networks

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