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Energy-Efficient Coordinated Scheduling Mechanism for Cellular communication Systems with Multiple Component Carriers

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IEEE JOURNAL ON SELECTED AREAS IN communicationS 2013年第5期31卷 959-968页

作者： Chen, Huaxia Jiang, Yonglei Xu, Jing Hu, Honglin Chinese Acad Sci Key Lab Wireless Sensor Network & Commun SIMIT Shanghai 200050 Peoples R China

The energy consumption in radio access network is expected to increase significantly as the network expends to fulfill the explosively growing data traffics. However, when evaluating the energy saving mechanisms, the impact on other performance metrics such as spectral efficiency, should also be taken into account. In this paper, based on the multiple component carrier (CC) feature specified in Long Term Evolution-Advanced (LTE-A) systems, an energy-efficient coordinated scheduling mechanism is proposed to reduce the energy consumption in cellular networks by dynamically switching off CCs and base stations (BS) according to load variations, with special attention on the switching off order and BS transmit power adjustment to maintain service continuity of downlink users. Both the energy and spectral efficiency of the system under the proposed scheduling mechanism are analyzed. Simulation results show that when data traffics are below a quarter of the system capacity, with the proposed scheme more than half of the network power consumption can be saved, while the requirements for user data rate, service continuity, network coverage and spectral efficiency are guaranteed.

关键词： Long Term Evolution-Advanced energy efficiency spectral efficiency multiple component carriers coordinated scheduling

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A QoS-aware routing algorithm based on ant-cluster in wireless multimedia sensor networks

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Science China(Information Sciences) 2014年第10期57卷 77-92页

作者： HUANG HaiPing CAO Xiao WANG RuChuan WEN YongGang 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 of Ministry of Education Nanjing University of Posts and Telecommunications School of Computer Engineering Nanyang Technological University

QoS-aware routing algorithm is important in wireless multimedia sensor networks. This paper formulates a generalized QoS-aware routing model on the basis of multiple routing metrics and priorities of packets. We first introduce a 2D plain-based routing algorithm IPACR which improves the standard ant colony algorithm by optimizing the initial distribution of artificial pheromone in order to accelerate the algorithm convergence rate. Then a clustering-based routing algorithm ICACR is presented which can be well applied in a large scale network. ICACR is a variation of IPACR because it can be suitable for clustering cases to satisfy the larger scale situations. Both the numerical algorithm performance analysis and simulation of IPACR and ICACR are given. The results show that ICACR outperforms IPACR in terms of both network lifetime and QoS-aware routing metrics in large scale wireless multimedia sensor networks. Moreover, the simulation based on the real video traces shows that by extending the multi-path to ICACR for different priorities of video frames better performance can be achieved.

关键词： ant colony clustering-based multi-path QoS-aware routing algorithm wireless multimedia sensor networks

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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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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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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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Micronucleus Image Recognition Based on Feature-map Spatial Transformation 11

Micronucleus Image Recognition Based on Feature-map Spatial ...

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2019第十一届数字图像处理国际会议

作者： Yujie Xu Jiwei Hu Quan Liu Jiamei Deng School of Information Engineering Wuhan University of Technology & Key Lab.of Broadband Wireless Communication and Sensor Network

ISBN: (数字)9781510630765

ISBN: (纸本)9781510630758

Convolutional neural networks in deep learning models have dominated the recent image recognition *** the lack of capacity to maintain spatial invariance makes identification of micronucleus cells as a classic task in digital pathology still a challenge *** this paper,a novel convolutional neural network for feature maps spatial transformation(FSTCNN) is proposed,which incorporates a Spatial Transformer *** model allows the spatial manipulation of data within the network,provides the ability of active spatial transformation for neural network without any extra *** compared the results of inserting STN into different convolutional layers and found that such a network can transform the input image more steadily,correct the image to one certain position,make it fill the whole screen to create a better environment for image *** results show a distinct advantage over other convolutional neural networks for medical image recognition.

关键词： Spatial transformer micronucleus cells feature extraction image recognition

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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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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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Low-power task scheduling algorithm for large-scale cloud data centers

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Journal of Systems Engineering and Electronics 2013年第5期24卷 870-878页

作者： Xiaolong Xu Jiaxing Wu Geng Yang Ruchuan Wang College of Computer Nanjing University of Posts and Telecommunications State Key Laboratory for Novel Software Technology Nanjing University Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications

How to effectively reduce the energy consumption of large-scale data centers is a key issue in cloud computing. This paper presents a novel low-power task scheduling algorithm （L3SA） for large-scale cloud data centers. The winner tree is introduced to make the data nodes as the leaf nodes of the tree and the final winner on the purpose of reducing energy consumption is selected. The complexity of large-scale cloud data centers is fully consider, and the task comparson coefficient is defined to make task scheduling strategy more reasonable. Experiments and performance analysis show that the proposed algorithm can effectively improve the node utilization, and reduce the overall power consumption of the cloud data center.

关键词： cloud computing data center task scheduling energy consumption.

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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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