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2014 International Conference on Computer,communications and Information technology(CCIT 2014)

作者： Shaopo Zhu Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications

ISBN: (纸本)9781629939865

An improved outdoor camera calibration method based on Extended Kalman Filter(EKF) is proposed in this paper. GPS coordinate system is introduced to establish world coordinate system in the calibration procedure. According to the characteristics of GPS coordinate converted to plane coordinate and the camera calibration model, we establish the mapping relations of reference points between image plane coordinate and the world coordinate. Further, we consider the world coordinate error, set the world coordinates as the measure quantities, use the method of EKF to get the optimal estimation of intrinsic and extrinsic camera parameters, in EKF the camera's intrinsic and extrinsic parameters are set as state variables, the transformation equations of image coordinate to the world coordinate are set as the measurement equations, and we let the observed feature points' image coordinates and corresponding world coordinates as the input of the filter. Experimental results confirmed that the proposed method with high precision.

关键词： camera calibration,GPS coordinate,EKF,world coordinate error

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Lorentzian Hard Thresholding Pursuit for Compressed Sensing in the Presence of Impulsive Noise

Lorentzian Hard Thresholding Pursuit for Compressed Sensing ...

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2014 4th IEEE International Conference on Information Science and technology

作者： Ji Yun-yun Yang Zhen College of Communications and Information Engineering Nanjing University of Posts and Telecommunications Key Lab of “Broadband Wireless Communication and Sensor Network Technology” Ministry of Education Nanjing University of Posts and Telecommunications

The Lorentzian hard thresholding pursuit algorithm is proposed in this paper to achieve efficient reconstruction for compressed sensing in the presence of impulsive noise. In the Lorentzian hard thresholding pursuit algorithm, the minimum norm problem is solved with respect to a support which is obtained through the hard thresholding operator. The convergence and reconstruction performance of the Lorentzian hard thresholding pursuit algorithm is proved in theory in this paper. Experimental results show that the reconstruction performance of the Lorentizian hard thresholding pursuit algorithm is superior to the Lorentzian iterative hard thresholding algorithm which is also an effective algorithm for sparse reconstruction of compressed sensing in the impulsive noise environment.

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Fast encoding method using CU depth for quality scalab.e HEVC

Fast encoding method using CU depth for quality scalable HEV...

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IEEE Workshop on Advanced Research and technology in Industry Applications (WARTIA)

作者： Qingyang Ge Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications Nanjing CN

In this paper, a new fast encoding scheme using CU depth information for quality scalab.e HEVC was proposed. The proposed scheme based on the correlation between the base layer and enhancement layer, as well as the correlation between current frame and reference frame, which obtained by experiment. The main idea of the algorithm is that when each LCU is encoded in enhancement layer, it's corresponding encoded LCU's best coding depth in base layer is used as the new maximum encoding depth in enhancement layer, thereby, it can reduce the unnecessary CU division process then reduce the computational complexity. On the other hand, for base layer, when each LCU encoding in current frame, the corresponding LCU's depth in already coded reference frame is utilized to skip parts process of mode selection before reach this reference depth, so that the computational complexity can be reduced again. Experimental results show that compared with the original SHM5.1, our proposed method saves about 59.45% and 67.71% encoding time in whole encoding layers and enhancement layer respectively, with a negligible decrease in PSNR of 0.014 dB and bitrate increase of 0.46% in EL, as well as PSNR of 0.05 dB and bitrate increase of 1.15% in BL averagely.

关键词： Encoding Scalab.lity Computational complexity Correlation PSNR Bit rate

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A new inter prediction mode decision method based on temporal correlation for HEVC encoder

A new inter prediction mode decision method based on tempora...

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IEEE Workshop on Advanced Research and technology in Industry Applications (WARTIA)

作者： Qiuping Xu Dong Hu Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology Jiangsu Province's Key Lab of Image Procession and Image Communications Nanjing University of Posts and Telecommunications Nanjing CN

To alleviate the encoder computation load in inter-frame coding of the High Efficiency Video Coding (HEVC), a new fast inter-frame prediction mode decision method is proposed by reducing the number of execution of the advanced motion vector prediction (AMVP) mode. Based on the correlation analysis between the corresponding located CU (Coding Unit) in the previous frame and the current CU, we first select the best one inter prediction mode by just performing merge mode decision process and then only perform the AMVP process on the selected one. Experimental results show that the proposed scheme provides 33.04% encoder time savings in Random Access (RA) configuration and 38.05% time savings in Low Delay (LD) configuration on average, and its increment in bit rate is 0.87% in RA and 1.29% in LD compared to the default encoding scheme in HM10.0.

关键词： Encoding Correlation Video coding Vectors Bit rate Algorithm design and analysis Copper

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Spectrum Sensing Via the Best Stochastic Resonance

Spectrum Sensing Via the Best Stochastic Resonance

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2014 International Conference on Electrical and Electronic Engineering(EEE 2014)

作者： Deng-yin ZHANG Hui SUN Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunication Ministry of Education Sci-tech Park of Internet of Things Nanjing University of Posts and Telecommunication

When existing spectrum sensing algorithm detects low SNR signal,detection performance is not *** paper proposes a spectrum sensing algorithm based on the best stochastic *** algorithm introduces the stochastic resonance theory and changes system parameters adaptively through sensing environment *** analysis and simulation results show the algorithm has a good detection performance while sensing low SNR signal.

关键词： Cognitive radio Spectrum sharing Stochastic resonance Primary user signal Bistable system

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Security enhancement of virtual optical imaging system by chaos

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Journal of Computational Information Systems 2014年第7期10卷 3089-3101页

作者： Zhu, Wei Yang, Geng Chen, Lei Chen, Zhengyu College of Science Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communications and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

A novel image encryption algorithm based on virtual optical imaging system (VOI) is proposed in this paper. By introducing of chaos system to generate the random mask, the difficulty of key transmission and the insensitivity of ciphertext to random mask in VOI are solved. In addition, by correlating keys with plaintext, the cipher image becomes sensitive to plaintext. Numerical experiments are simulated on both gray level images and binary images to verify the effectiveness of the algorithm. Security analysis shows that the proposed algorithm is effective on resisting statistical attacks, brute-force attacks, known plaintext and chosen plaintext attacks. The experimental results demonstrate that in the suggested system the security strength is enhanced. © 2014 Binary Information Press.

关键词： Binary images

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Heterogeneous network data acquisition and storage solution in cloud environment

Heterogeneous network data acquisition and storage solution ...

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The 2014 5th International Conference on Environmental Science and Information Application technology(ESIAT 2014)

作者： Chunshao Ren Jiandong Yang Wei Mao Dengyin Zhang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationMinistry of Education Sci-tech Park of Internet of Things Nanjing University of Posts and Telecommunication

There exist a number of heterogeneous net units in network in cloud *** problem faced by current network management is how to collect and store data generated by net *** solve this problem,this paper proposes an acquisition and storage solution of huge network management data based on *** the characteristics of heterogeneous network management data and advantages of HBase storage into consideration,an integrated and event-driven solution is made to realize huge network management data acquisition and *** has been proven by practice that by distributed computing of Hadoop and distributed columnar storage of HBase,the solution has secured efficient parallelization of acquisition and storage of the *** performance can be linearly increased when the number of acquisition servers is *** theory,over 13 acquisition servers can run a poll to tens of thousands of net unit device in heterogeneous network within 3 minutes.

关键词： net HBase Heterogeneous network data acquisition and storage solution in cloud environment Hadoop

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An improved static B+ tree index adaptive to cloud environment for analytic application

An improved static B+ tree index adaptive to cloud environme...

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The 2014 5th International Conference on Environmental Science and Information Application technology(ESIAT 2014)

作者： Mingxiang Wan Chunshao Ren Dengyin Zhang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and TelecommunicationMinistry of Education Sci-tech Park of Internet of Things Nanjing University of Posts and Telecommunication

B+ Tree is a special balanced multiway tree with flexible structure and node pages linking to each *** supports not only rapid random query,but also range *** B+ Tree index cannot be directly migrated since data storage architecture is different in cloud *** on the characteristics of cloud computing master-slave architecture and combined with the characteristics of the columnar storage in the cloud environment,this paper proposes an improved secondary index of B+ *** this index,primary key still uses key-Value style hash index,which can not only get high search efficiency,but also maintain load balance;other property columns will apply improved B+ Tree index,which can solve the problem of high time complexity when querying non-primary key and also support range query of non-primary key property.

关键词： An improved static B tree index adaptive to cloud environment for analytic application

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A low communication cost and delay guaranteed multicast approach for next generation vehicular ad hoc networks

A low communication cost and delay guaranteed multicast appr...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chengchao Ji Zhengkun Mi Wennai Wang Shenghui Zhao School of Computer and Information Chuzhou University Chuzhou China Key Lab of Broadband Wireless Communication and Sensor Network Technology (Ministry of Education) Nanjing University of Posts and Telecommunications Nanjing China

Vehicle Ad hoc networks (VANETs) is an emerging wireless network technology whereby information is generally shared among vehicles through multi-hopping In literature, a number of routing approaches has been proposed for reducing the end-to-end delay. However, the routing approaches applied to support multicast service will be inefficient since none of them considered the share path in VANETs. This paper considers the delay-bound guaranteed multicast service where a vehicle aims to send a message to a group of vehicles using minimal bandwidth within a guaranteed delay bound. The source and multicast destinations are location-aware and trip-aware. Therefore the multicast approach developed for VANETs is totally different to the one in ad hoc networks. The proposed approach forwards the multicast message to the vehicles in the multicast group along the road segment with the least time cost, reserving as much as possible the remaining time for carry-and-forward transmissions which helps reduce the bandwidth consumption for packet transmissions.

关键词： Vehicles Routing Delays Roads Integrated circuits Vehicular ad hoc networks Educational institutions

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Quantum bacterial foraging optimization algorithm

Quantum bacterial foraging optimization algorithm

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Congress on Evolutionary Computation

作者： Fei Li Yuting Zhang Jiulong Wu Haibo Li Key Lab of Broadband Wireless Communication and Sensor Network Technology of Ministry of Education Nanjing University of Posts and Telecommunications Nanjing China Department of Applied Physics and Electronics Umea University Umea Sweden

ISBN: (纸本)9781479914869

This paper proposes a novel swarm intelligence optimization method which integrates bacterial foraging optimization (BFO) with quantum computing, called quantum bacterial foraging optimization (QBFO) algorithm. In QBFO, a multi-qubit which can represent a linear superposition of states in search space probabilistically is used to represent a bacterium, so that the quantum bacteria representation has a better characteristic of population diversity. A quantum rotation gate is designed to simulate the chemotactic step to drive the bacteria toward better solutions. Several tests are conducted based on benchmark functions including multi-peak function to evaluate optimization performance of the proposed algorithm. The numeric results show that the proposed QBFO has more powerful properties in convergence rate, stability and the ability of searching for the global optimal solution than the original BFO and quantum genetic algorithm. In addition, we applied our proposed QBFO to solve the traveling salesman problem, which is a well-known NP-hard problem in combinatorial optimization. The results indicate that the proposed QBFO shows better convergence behavior without premature convergence, and has more powerful properties in convergence rate, stability and the ability of searching for the global optimal solution, as compared to ant colony optimization algorithm and quantum genetic algorithm.

关键词： Microorganisms Quantum computing Optimization Convergence Benchmark testing Sociology Statistics

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