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Interactive Evolutionary Multi-Objective Optimization Algorithm Using Cone Dominance

Journal of Harbin Institute of technology(New Series) 2015年第6期22卷 76-84页

作者： Dalaijargal Purevsuren Saif ur Rehman Gang Cui Jianmin Bao Nwe Nwe Htay Win School of Computer Science and Technology Harbin Institute of Technology Key Lab of Broadband Wireless Communication and Sensor Network Technology (Jiangsu Provincial Engineering Research Center of Telecommunications and Network Technology) Ministry of Education

As the number of objectives increases,the performance of the Pareto dominance-based Evolutionary Multi-objective Optimization( EMO) algorithms such as NSGA-II,SPEA2 severely deteriorates due to the drastic increase in the Pareto-incomparable solutions. We propose a sorting method which classifies these incomparable solutions into several ordered classes by using the decision maker's( DM) preference *** is accomplished by designing an interactive evolutionary algorithm and constructing convex cones. This method allows the DMs to drive the search process toward a preferred region of the Pareto optimal front. The performance of the proposed algorithm is assessed for two,three,and four-objective knapsack problems. The results demonstrate the algorithm ' s ability to converge to the most preferred point. The evaluation and comparison of the results indicate that the proposed approach gives better solutions than that of NSGA-II. In addition,the approach is more efficient compared to NSGA-II in terms of the number of generations required to reach the preferred point.

关键词： multi-objective optimization evolutionary optimization preference information pareto dominance cone dominance

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Novel Back-projection Framework for Single Image Super-Resolution

Novel Back-projection Framework for Single Image Super-Resol...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Bin Zhao Zongliang Gan Yanbin Zhang Feng Liu Huanjuan Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

A novel back-projection framework for single image super-resolution is proposed in this paper. In our framework, the edge of the high-resolution image is firstly detected by the canny edge detection algorithm and the bilateral filtering algorithm, and the high-resolution image is divided into edge area and flat area. Then the edge area of the high resolution image is filtered by the adaptive kernel regression denoising algorithm in the iterative back-projection process. And the flat area of the high resolution image is reconstructed by the iterative back- projection method. Experimental results demonstrate that the proposed method can reconstruct high quality images in both the measure of objective quality and the subjective perception.

关键词： super-resolution iterative back-projection adaptive kernel regression denoising algorithm

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Adaptive Video Back Projection Super-resolution Method Using Non-local Prior

Adaptive Video Back Projection Super-resolution Method Using...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Yilun Zhang Zongliang Gan Xiuchang Zhu Mingming Cao Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

In this paper, a novel video back projection super- resolution method using non-local prior is proposed. Our approach has three steps. First, we make initial motion estimation with block-matching and fine block matching to search for the pixels with similar structural content from video sequences. In this process, an adaptive technique is introduced to avoid redundant search. Second, we do initial interpolation to the input video sequences and a bilateral filtering is applied to the interpolation frames to achieve edge-preserving image smoothing. Third, a video non-local means filter is applied to modify the error image in iteration step of the iterative back projection. The experimental result shows that the proposed method can increase image details, moreover, the chessboard effect and ringing effect along image edges can be removed and sharp and clear edges in visual perception will be obtained.

关键词： non-lcoal back projection video motion estimation super-resolution

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RESEARCH ON ADAPTIVE COMPRESSION CODING FOR network CODING IN WIRELESS sensor network

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Journal of Electronics(China) 2012年第5期29卷 415-421页

作者： Liu Ying Yang Zhen Mei Zhonghui Kong Yuanyuan Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts & Telecommunications

Based on the sequence entropy of Shannon information theory, we work on the network coding technology in Wireless sensor network (WSN). In this paper, we take into account the similarity of the transmission sequences at the network coding node in the multi-sources and multi-receivers network in order to compress the data redundancy. Theoretical analysis and computer simulation results show that this proposed scheme not only further improves the efficiency of network transmission and enhances the throughput of the network, but also reduces the energy consumption of sensor nodes and extends the network life cycle.

关键词： network coding Wireless sensor network (WSN) Sequence similarity Sequence entropy

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A network Adaptive Fragmentation Algorithm for P2P-Based CDN 9

A Network Adaptive Fragmentation Algorithm for P2P-Based CDN

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2017 9th IEEE International Conference on communication Software and networks (ICCSN 2017)

作者： Yunyi Zheng Jianxin Chen Yi Cheng Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781509038237;9781509038220

P2 P-based content request has been widely used because of its numerous advantages, such as flexibility, load distribution, efficiency and so on. However, there are still some problems to be solved such as service stability, adaptation and so on. The fragmentation methods used in existing P2 P systems are generally fixed block-size method or fixed duration method,which have significantly different performances in different network conditions and cannot adjust to the change of network conditions. In this paper, a novel method is presented to provide adaptive adjustment of fragmentation size for enhancing the performance and service stability. To calculate the adaptive size of fragmentation, several factors are taken into consideration including transmission rate, packet loss rate, file distributions and different peers. The simulation results show that the presented method performs better than the other methods in most network conditions.

关键词： P2P fragmentation adaptive fixed block size fixed duration transmission rate packet loss rate file distributions different peers

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Novel Colorization Method Based on Correlation Neighborhood Similarity Pixels Priori

Novel Colorization Method Based on Correlation Neighborhood ...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Huanjuan Wang Zongliang Gan Yanbin Zhang Xiuchang Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

Colorization is a computer-aided process of automatically adding colors to grayscale images or videos according to the colors scribbled on by the user. In this paper, we propose a novel colorization method which based on correlation neighborhood similarity pixels priori. First, according to a key observation that similar intensities neighboring pixels have similar colors, our method searches the similarity neighborhood pixels group. Then, we compute the weighted coefficients of the neighborhood pixels in the luminance image and transmit the weighted coefficients to the chrominance. Finally, we obtain the chrominance values by solving a quadratic optimization problem which uses the colors scribbled on by the user as the linear constraints. The experimental results show that our approach is quite effective especially in the boundary parts. Moreover, our method can give better visually results when only a few colors scribbled on.

关键词： colorization optimization neighborhood similarity pixel joint correlation

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Adaptive Resource Allocation Method over OFDMA System for H.264 SVC Transmission

Adaptive Resource Allocation Method over OFDMA System for H....

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Qikun Zhao Lina Qi Zongliang Gan Hongbo Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

This paper combines adaptive sub-carriers allocation, power allocation in OFDMA with the transmission of the H.264 SVC (Scalable Video Coding) encoded video sequences in order to support more user and provide better quality of service (Qos) to the subscribers. Firstly we compute the maximum number of users the system can support by our proposed CAC (call admission control), and then our proposed adaptive resource allocation algorithm is utilized to allocate resource to these users On the premise of meeting the most basic requirements of all the users, our proposed scheme can select appropriate resolution adaptively for users according to the channel information. Experimental results demonstrate that our scheme performs better than systems with a fixed resource allocation strategy.

关键词： OFMDA H.264 Adaptive Resource Allocation

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The Spectrum Allocation of Primary user Based on Bayesian Game

The Spectrum Allocation of Primary user Based on Bayesian Ga...

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2012 IEEE 11th International Conference on Signal Processing(ICSP 2012)

作者： Zhiqiang Fang Lina Qi Zhongliang Gan Hongbo Zhu Qikun Zhao Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and Telecommunications

ISBN: (纸本)9781467321969

In cognitive radio system, the Cournot game model is used for analyzing the spectrum allocation of primary users. Considering the noise is random, the spectrum allocation of primary user based on Bayesian game is proposed in this paper. First, the transmit power is viewed as one factor of the cost function. And considering the noise is uncertain, the high noise and the low noise are viewed as two different types of primary users. Then, we can obtain the strategy of primary user by using dynamic Bayesian game. The experimental results on spectrum allocation demonstrate the effectiveness of the proposed scheme.

关键词： cognitive radio Bayesian game spectrum allocation channel noise

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Semantic QoS Ontology and Semantic Service Ranking Approach for IoT services

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Journal of Harbin Institute of technology(New Series) 2014年第6期21卷 102-112页

作者： Nwe Nwe Htay Win Jian-Min Bao Gang Cui Purevsuren Dalaijargal School of Computer Science and Technology Harbin Institute of Technology Key Lab of Broadband Wireless Communication and Sensor Network Technolog Jiangsu Provincial Engineering Research Center of Telecommunications and Network TechnologyMinistry of Education

Due to a rapid increase in the number of functionally equivalent web services at open and dynamic Io T service environment,Qo S has become a major discrimination factor to reflect the user's expectation and experience of using a *** are different languages and models for expressing Qo S advertisements and requirements among service providers and ***,it leads to the issues of semantic interoperability of Qo S information and semantic similarity match between a semantic description of the service being requested by the service consumer,and a formal description of the service being offered by the service *** this paper,we propose a hierarchical two-layer semantic Qo S ontology to promote the description and declaration of Qo S-based service information in detail for any domain and ***,we develop a semantic matchmaking algorithm to compare the web services according to their Qo S information and adopt analytical hierarchy process( AHP) to make decision for the ranked services depending on the Qo S *** comparison study and experimental result show that our proposed system is superior to other service ranking approaches.

关键词： IoT service environment semantic QoS ontology semantic matchmaking algorithm QoS-based service information analytical hierarchy process

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A Multi-dimensional Index Structure Based on Improved VA-file and CAN in the Cloud

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International Journal of Automation and computing 2014年第1期11卷 109-117页

作者： Chun-Ling Cheng Chun-Ju Sun Xiao-Long Xu Deng-Yin Zhang College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationsMinistry of Education Jiangsu Province

Currently,the cloud computing systems use simple key-value data processing,which cannot support similarity search efectively due to lack of efcient index structures,and with the increase of dimensionality,the existing tree-like index structures could lead to the problem of"the curse of dimensionality".In this paper,a novel VF-CAN indexing scheme is ***-CAN integrates content addressable network(CAN)based routing protocol and the improved vector approximation fle(VA-fle) *** are two index levels in this scheme:global index and local *** local index VAK-fle is built for the data in each storage ***-fle is thek-means clustering result of VA-fle approximation vectors according to their degree of *** cluster forms a separate local index fle and each fle stores the approximate vectors that are contained in the *** vector of each cluster center is stored in the cluster center information fle of corresponding storage *** the global index,storage nodes are organized into an overlay network CAN,and in order to reduce the cost of calculation,only clustering information of local index is issued to the entire overlay network through the CAN *** experimental results show that VF-CAN reduces the index storage space and improves query performance efectively.

关键词： Cloud computing index similarity search clustering vector approximation fle(VA-fle) content addressable network(CAN)

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