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International Journal of Signal processing, Image processing and Pattern Recognition 2015年第7期8卷 111-122页

作者： Yu, Chun-Yan Zhang, Wei-Shi Wang, Chun-Li Institute of Information and Science Technology Dalian Maritime University China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University No.3 Feixi Road Hefei China

To highlight the saliency object clearly from the foreground, we propose a saliency detection method based on global contrast with cluster. Due to the fact that background pixels usually have similar patches, we use cluster analysis to merge the background regions. By using mean shift filter, the background pixels with similar color level are clustered and the saliency calculation can be decreased a lot. In the method, we use the contrast of color feature with all the other pixels to compute the saliency map. A weight coefficient is utilized to improve the detection accuracy in global contrast differences evaluation. The results of extensive experiments on public dataset show that our method perform well and can highlight the salient object clearly against the other five state-of-the-art methods. Besides, we demonstrate that the applications in image segmentation and fusion with our saliency map can get satisfactory results. © 2015 SERSC.

关键词： Image segmentation

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On the encoding complexity of systematic polar codes

On the encoding complexity of systematic polar codes

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IEEE International SOC Conference

作者： Liping Li Wenyi Zhang Key Laboratory of Intelligent Computing and Signal Processing of the Ministry of Education of China Anhui University China Chinese Academy of Sciences and Department of Electronic Engineering and Information Sciences University of Science and Technology of China

Systematic polar codes are proposed by Arikan and are shown to have better BER performance than non-systematic polar codes. From a recursive decomposition of the generator matrix of polar codes, Arikan showed that the encoding complexity of systematic polar codes is also O(N log N) where N is the code block length. But the recursive process involves some additional calculations in transforming the problem instances back and forth. In this paper, by using the sparsity property of the generator matrix, we propose an encoding process which has the same complexity as non-systematic polar codes in the presence of an additional memory array. Without the additional memory elements, the number of additions of the proposed encoding process increases compared with non-systematic polar codes. We also provide an analysis to quantify this additional increase of the complexity.

关键词： Encoding Systematics Complexity theory Decoding Generators Bit error rate Electronic mail

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An Interrupt Scheduling Mechanism of Virtual Network Interface Card for Xen-Based System

An Interrupt Scheduling Mechanism of Virtual Network Interfa...

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2015 5th International Conference on Computer sciences and Automation Engineering(ICCSAE 2015)

作者： Liuzheng Lu Runze Wan Jinrong He School of Computer Hubei University of Education Co-Innovation Centre of Elementary Education Information Technology Services of Hubei Science Computing and Intelligent Information Processing of Guangxi Higher Education Key Laboratory Guangxi Teachers Education University

As one of typical paravirtualization hypervisors, Xen has received widespread attentions especially its scaling capability under some kinds of workload. In this paper, we focus on the problem that the most CPU resources are occupied by frequent interrupt from the NIC（Network Interface Card） and it will cause bottleneck of the system for Xen. To alleviate this problem, this paper proposes an adaptive interrupt latency scheduling mechanism based on XEN, which use the polling or interrupt method in accordance with the queue length of virtual buffer without supplementing any additional processing unit. Also, the method can guarantee different quality of service to some extent by means of the definition of the two types of priority virtual buffers. Simulation results show that the mechanism can reduce CPU overhead significantly and improve system performance effectively.

关键词： virtualization interrupt latency virtual buffer

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Gaussian Mixture Model Based Interest Prediction In Social Networks

Gaussian Mixture Model Based Interest Prediction In Social N...

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IEEE International Conference on Cloud computing Technology and science (CloudCom)

作者： Dongyun An Xianghan Zheng Chunming Rong Tahar Kechadi ChongCheng Chen College of Mathematics and Computer Science Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou China Department of Electrical Engineering and Computer Science Stavanger Norway University College Dublin School of Computer Science and Informatics Ireland

In this paper, we investigate a typical clustering technology, namely, Gaussian mixture model (GMM)-based approach, for user interest prediction in social networks. The establishment of the model follows the following process: collect dataset from 4613 users and more than 16 million messages from Sina Weibo, obtain each user's interest eigenvalue sequence and establish GMM model to clustering users. In theory and experiment, this approach is feasible. The GMM-based approach considers the prediction accuracy and consuming time. A series of experiments are conducted to validate the feasibility and efficiency of the proposed solution and whether it can achieve a higher accuracy of prediction compared with other approaches, such as SVM and K-means. Further experiments show that GMM-based approach could produce higher prediction accuracy of 93.9%, thus leveraging computation complexity.

关键词： Predictive models Feature extraction Social network services Gaussian mixture model Eigenvalues and eigenfunctions Clustering algorithms

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Hybrid color image steganography method used for copyright protection and content authentication

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Journal of information Hiding and Multimedia Signal processing 2015年第4期6卷 686-696页

作者： Lyu, Wan-Li Chang, Chin-Chen Chou, Yeh-Chieh Lin, Chia-Chen 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 Management Providence University Taichung43301 Taiwan

In this paper, we proposed a hybrid image data hiding method used for watermarking applications in order to make sure the hidden dual watermarks survive after the image manipulation and enhancement processes. To achieve this goal, the proposed method is divided into two phases. In the first phase, the YCbCr color space is exploited, and, then, LSB techniques are used to embed the first level watermark bits in the YCbCr channel. In the second phase, the modification direction method is used to embed the second level watermark bits in the RGB channel. The experimental results confirmed that the proposed method resists most geometric attacks more effectively than Lusson et al.'s method. Therefore, the method is suitable for protecting the ownership of images and integrity of the potential tampered images. © 2015 ISSN.

关键词： Steganography

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Parallel knowledge acquisition algorithm for big data using MapReduce

Parallel knowledge acquisition algorithm for big data using ...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Jin Qian Min Xia Ping Lv Jiangsu Key Laboratory of Big Data Analysis Technology/B-DAT Nanjing University of Information Science & Technology Nanjing China Key Laboratory of Cloud Computing and Intelligent Information Processing of Changzhou City Jiangsu University of Technology Changzhou China

ISBN: (纸本)9781467372220

With the rapid growth of data volume, knowledge acquisition for big data has become a new challenge. To address this issue, the hierarchical decision table is defined and implemented in this work. The properties of different hierarchical decision tables are discussed under the different granularity of conditional attributes. A novel knowledge acquisition algorithm for big data using MapReduce is proposed. Experimental results demonstrate that the proposed algorithm is able to deal with big data and mine hierarchical decision rules under the different granularity.

关键词： Big Data Hierarchical Rough Set Knowledge Acquisition MapReduce big data information Extraction Decision tables

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MR-COF:A Genetic MapReduce Configuration Optimization Framework

MR-COF:A Genetic MapReduce Configuration Optimization Framew...

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The 7th International Symposium on Parallel Architectures, Algorithms and Programming, PAAP2015(2015年第七届国际并行体系结构,算法和编程研讨会)

作者： Chao Liu Deze Zeng Hong Yao Chengyu Hu Xuesong Yan Yuanyuan Fan China Services Computing Technology and System Lab and Cluster and GridComputing Lab Huazhong University of Science and TechnologyWuhan 430074China Hubei Key Laboratory of Intelligent Geo-Information Processing China University of GeosciencesWuhan 430074China

Hadoop/MapReduce has emerged as a de facto programming framework to explore cloud-computing *** has many configuration parameters,some of which are crucial to the performance of MapReduce *** practice,these parameters... 详细信息

ISBN: (纸本)9783319271392

关键词： Mapreduce Massive data processing Parameter configuration Performance optimization Search algorithm

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A hybrid differential evolution algorithm solving complex multimodal optimization problems

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Journal of information and Computational science 2015年第13期12卷 5175-5182页

作者： You, Xuemei Hao, Fanchang Ma, Yinghong School of Management Science and Engineering Shandong Normal University Jinan China The Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China School of Information Shandong University of Political Science and Law Jinan China The Evidence Forensic Laboratory in Universities of Shandong Province Jinan China

Differential Evolution (DE) algorithm is a kind of intelligent algorithm based on natural evolution over the past few decades, which shows better optimization performance on some classical benchmark problems. However, it is easy to fall into local optimum and hard to find the global optimal solution when solving complex multimodal optimization problems. In this paper, we propose a Hybrid-strategybased Differential Evolution (HDE) algorithm. It combines three search strategies, the self-adaptive controlling of parameters, multiple mutation strategy and opposition-based learning. Then we select 11 different types of complex multimodal optimization problems and do experiment with simulated data. The result shows that HDE algorithm gets better performance than other 7 methods. ©, 2015, Journal of information and Computational science. All right reserved.

关键词： Optimization

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Study of automated PCNN system based on fruit fly optimization algorithm

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Journal of Computational information Systems 2014年第15期10卷 6635-6642页

作者： Zhao, Han Ding, Shifei School of Computer Science and Technology China University of Mining and Technology Xuzhou China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

As the third-generation neural network technology, pulse coupled neural network (PCNN) had used in many fields successfully, but it hindered its popularize that so many parameters of the PCNN need to be set up. This paper presented a new method to automatically determine the parameters of the PCNN based on Fruit Fly Optimization Algorithm (FOA). In proposed method, the information entropy of the image is defined as the fitness function of Fruit Fly Optimization Algorithm when searching the optimal solution. Mutual information is used as the evaluation criteria in the simulation experiments. Contrasted the simulation result with the experiments used the Otsu method, manual adjustment method, genetic algorithm method and PSO method, it shows that the FOA method is better than the others. © 2014 Binary information Press

关键词： Image segmentation

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Verification for commitment-based web service protocols

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International Journal of Wireless and Mobile computing 2014年第3期7卷 217-223页

作者： Fang, Zhi Liao, Lejian Chen, Ruoyu Beijing Eng. Res. Ctr. of High Vol. Language Information Processing and Cloud Computing Applications Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing 100081 China

We propose a model for a class of web services which are powered by relational databases and annotated by social commitment. Our model can be viewed as an extension of WSDL specification where schemas of service operations specify not only input-output signatures but also data constraints, control-flow constraints, state/output/effect rules. The dataaware temporal properties about interactions between services and users are specified in Linear Temporal First-Order Logic with Social Commitment (LTL-FOSC). We have proved it is possible to use existing tools (e.g. WAVE) originally designed for verification of web applications to verify such properties. Copyright © 2014 Inderscience Enterprises Ltd.

关键词： Web services

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