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5th IEEE International Conference on Computer and communications, ICCC 2019

作者： Miao, Junqing Xia, Hailun Zeng, Zhimin Beijing University of Posts and Telecommunications Beijing Key Laboratory of Network System Architecture Convergence Beijing Lab. of Adv. Info. Networks Sch. of Info. and Communication Engineering Beijing China

ISBN: (纸本)9781728147437

Existing state-of-the-art approaches in video action recognition mostly adopt RGB images and optical flows as input and neglect the abundant information provided by human poses. In this paper, we present a novel method that highlights the essential area of human body and takes it as complementary input for existing action recognition pipelines. The method, called Pose Mask network (PMN), leverages a 2D pose estimator to extract heatmaps from frames and utilizes them as Pose Masks on the original images. The Pose Masks are robust to the variance of background and focus on key information of human body. Experiments show that our Pose Mask yields a result far exceeding that of using simple pose representations. More importantly, PMN acts as a supplement to other RGB-based approaches. Combining our PMN with Temporal Segment network, we obtain state-of-the-art performance on the HMDB51 and JHMDB datasets. © 2019 IEEE.

关键词： Gesture recognition

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Secure routing protocol based on probability in sensor networks

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Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University 2011年第6期38卷 1-7页

作者： Tang, Di Yang, Xiaoniu Li, Jiandong State Key Lab. of Integrated Service Networks Xidian Univ. Xi'an 710071 China National Lab. of Information Control Tech. for Communication System Jiaxing 314033 China

In wireless sensor networks, the traditional intrusion detection can not detect the compromised nodes immediately. In this paper, we propose a secure routing protocol (Secure Relay Grid Routing Protocol) based on probability prediction to solve this problem. In the protocol, the network is divided into different small grids. Utilizing the geographic information and intrusion detection information, the proposed protocol is designed with a routing metric which is based on a mathematical prediction model. The routing metric could guarantee that the message detours those compromised grids that have not been detected by the intrusion detection. Theoretical analysis and OPNET simulation results show that the proposed protocol can provide a high delivery ratio and decrease the number of the compromised packets.

关键词： Intrusion detection

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Two modified L2S interface methods for mixed modulation scheme

Two modified L2S interface methods for mixed modulation sche...

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2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio communications, PIMRC 2008

作者： Long, Hang Wang, Wenbo Zheng, Kan Young-Il, Kim Wireless Signal Processing and Network Lab. Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications Beijing China Wireless System Research Group Daejeon 305-700 Korea Republic of

ISBN: (纸本)9781424426447

In current wireless system performance evaluation, separate link and system level simulators are needed due to less computation complexity. The link-to-system (L2S) interface method to interconnect two simulators is essential and need careful definition. Exponential effective signal-to-interference-and-noise ratio mapping (EESM) is a typical L2S interface method suitable for evaluation of orthogonal frequency division multiplexing systems. When it's used in simulation, all the sub-carriers for one user have to use the same modulation and coding scheme. In this paper, two modified L2S interface EESM methods are presented based on the idea that a high-level modulation symbol could be equivalently converted to several low-level modulation symbols with different reliability. As a result, usage of EESM can be extended to the situation that sub-carriers for one user use different modulation schemes. © 2008 IEEE.

关键词： Signal to noise ratio

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A fast sparsity adaptive matching pursuit algorithm for compressed sensing

A fast sparsity adaptive matching pursuit algorithm for comp...

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2011 International Conference on Automation and Robotics, ICAR 2011

作者： Ma, Chun-Hui Xu, Chun-Yun Shen, Lei Zheng, Shi-Lian Telecommunication School Hangzhou Dianzi University Zhejian 310018 China State Key Lab. of Information Control Technology in Communication System No.36 Research Institute Electronic Technology Corporation Jiaxing 314001 China

ISBN: (纸本)9783642255526

Sparsity adaptive matching pursuit algorithm (SAMP) is a compressed sensing signal reconstruction algorithm with good performance. However, as the support set expands one time, the backward pursuit should be processed for many times, in which redundant update calculations are included. To solve the problem, this paper presents a fast sparsity adaptive matching pursuit algorithm (FSAMP). During the operation of the FSAMP, the backward pursuit is performed only once when the support set expands. After the support set is fixed, the backward pursuit shall be executed for multi times to guarantee the reconstruction precision. Simulation results for signal reconstruction show that the FSAMP has the slight higher reconstruction precision and the much faster reconstruction speed compared with the SAMP. © 2011 Springer-Verlag.

关键词： Compressed sensing

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Resource management using dynamical load prediction and multiprocessor cooperation

Resource management using dynamical load prediction and mult...

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作者： Guo, Xiuyan Zhang, Wu Wang, Jinlin Wu, Gang Joint Lab. of Network Communication System and Control Department of Automation University of Science and Technology of China Hefei Anhui 230027 China National Network New Media Engineering Research Center Institute of Acoustics Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9788988678367

Resource management is a complicated problem in multiprocessor system. When tasks with real-time characteristic are scheduled on processor resource constraints such as CPU and memory have to be met, however, it is usually difficult for a system to ensure load balancing and resource constraints simultaneity. In order to handle this problem lots of algorithms have been brought forward. In this paper, a load balancing policy is proposed to manage and integrate processing resource of multiprocessor system which is used to send packets of packets flows on time. The policy dynamically predicts the wait time before a packet to be processed based on the load of the processor and the timestamp of the packet, and decides the migration of packet between processors to guarantee that the packets can be processed before deadline. This policy can not only increase the multiprocessor utilization but also enhance the capacity of the system against the jitter of load by packets migration between the processors as well. We use simulation experiment to show that the policy can reduce the possibility of packets delay and increase the concurrency of flows that the system can serve.1 © 2011 AICIT.

关键词： Resource allocation

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Collab.ration filtering recommendation optimization with user implicit feedback

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Journal of Computational Information systems 2014年第14期10卷 5855-5862页

作者： Cui, Haomin Zhu, Ming Joint Laboratory of Network Communication System & Control Key Lab of Anhui Department of Automation University of Science and Technology of China Hefei China

Collab.ration Filter is one of well-known effective methods for recommendation. The suggestions are based on the mass of user ratings for various items, which are used as explicit feedback. However, implicit feedback such as the time spent on website, how soon the user skipped the song, and the sequence of selected items have also proved to be useful in recommender systems. In this paper, we proposed a hybrid recommendation algorithm considering both explicit and implicit feedback to produce better recommended list. An iteration process is proposed for using implicit feedback in order to find effective feedback for recommendation. Time window is also used to limit the impact range of implicit feedback. Experimental results on MovieLens datasets show that the implicit feedback can effectively compensate for the shortcomings of explicit feedback and the proposed algorithm is more accurate than the traditional one. © 2014 by Binary Information Press

关键词： Recommender systems

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A Bandwidth Smoothing Algorithm Applied in Streaming Media system upon Home network

A Bandwidth Smoothing Algorithm Applied in Streaming Media S...

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2010 2nd International Conference on Education Technology and Computer(第二届IEEE教育技术与计算机国际会议 ICETC 2010)

作者： Haiwei Wang Peng Sun Xiaoyong Zhu Hong Ni Key Lab of Network Communication System and Control Chinese Academy of Sciences Key Lab of Anhui N National Network New Media Engineering Research Center Institute of AcousticsChinese Academy of Sci

ISBN: (纸本)9781424463671;9781424463688;9781424463701

Bandwidth smoothing can increase the utility of network bandwidth by reducing the burstiness of a VBR (variable bit rate) video stream. To guarantee the quality of service of video-on-command service in home network, data transmission rate should not exceed the maximum data handling capacity of embedded terminals. This paper designs a streaming media system in home network, and puts forward a smoothing algorithm based on greedy algorithm for transmitting VBR video streams subjected to maximum data transmitting rate. The presented algorithm can decrease startup delay of streaming and meet the demand of client buffering requirement under the constraint of maximum transmission rate. Experiment results demonstrate the effectiveness of the presented algorithm.

关键词： home network streaming media system variable bit rate bandwidth smoothing

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Admission control for P2P-based Media Delivery network

Admission control for P2P-based Media Delivery Network

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Chinese control Conference (CCC)

作者： Shan Lu Baoqun Yin Dong Guo Key Lab of Network Communication System and Control Chinese Academy of Sciences Department of Automation University of Science and Technology of China Hefei 230027 China

With wider application of P2P-based Media Delivery network (P2P-based MDN), much work has been done to improve the system' performance and efficiency in the process of media contents sharing. In this paper, we first propose a specific partially observable Markov Decision Process (POMDP) model for admission control of P2P-based MDN. Based on this model, we provide the observation-based randomized policy to conduct admission control and optimize the policy by applying policy-gradient algorithm. Observation-based policy can promote the system's performance in real time aspect and policy optimizing can increase the accuracy of controller's judgments based on partial information. Admission strategy in the paper can save the cost in operating the system for media service providers. Bandwidth allocation policy is designed to reduce service delay and provide high-quality service. The comparison results of system's performances under different policies indicate that, partial service can utilize the system's resource in a better way.

关键词： Admission control Bandwidth Media Markov processes Servers Motion pictures Biological system modeling

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Neural network based popularity prediction for IPTV system

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Journal of networks 2012年第12期7卷 2051-2056页

作者： Li, Jun Hong, Shuang Xia, Sha Luo, Shengmei Department of Automation Joint Lab. Of Network Communication System and Control University of Science and Technology of China Hefei Anhui 230027 China ZTE Corporation Yuhuatai Nanjing Jiangsu 210012 China

Internet protocol television (IPTV), being an emerging Internet application, plays an important and indispensable role in our daily life. In order to maximize user experience and on the same time to minimize service cost, we must take into pay attention to how to reduce the storage and transport costs. A lot of previous work has been done before to do this. There is a challenging problem in this: how to predict the popularities of videos as accurate as possible. To solve the problem, this paper presents a Neural network model for the popularity prediction of the programs in the IPTV system. And we use the actual historical logs to validate our method. The historical logs are divided to two parts, one is used to train the neural network by extract input/output vectors, and the other part is used to verify the model. The experimental results from our validation show the Neural network based method can gain better accuracy than the comparative method. © 2012 ACADEMY PUBLISHER.

关键词： IPTV

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Chaos characteristics analysis of transient signals for phase-locked synthesizer based FHC system

Chaos characteristics analysis of transient signals for phas...

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International Symposium on communications and Information Technologies (ISCIT)

作者： Li Ping Wang Guohong Xiaopeng Yan Gong Peng Wenbo Shi Song Chunyun Beijing Institute of Technology National Key Lab. of Mechatronic Engineering and Control Beijing China Northeastern University School of Computer and Communication Engineering Qinhuangdao China National Lab. of Information Control Technology for Communication System Jiaxing Zhejiang China

ISBN: (纸本)9781479944156

Frequency synthesizer plays an important role in frequency hopping communication system. In this paper, we derivate the conditions for a system to become the chaotic based on the phase model of phase-locked synthesizer. We found that the system parameter changing during the frequency switching is able to make the system to be chaotic. Based on the Cao's method [5], we find that the fractal dimension of the transient signals should be equal to or less than 4, which also provides the maximal positive Lyapunov exponent. In addition, the unique double-ring attractor of them is also reproduced through the phase reconstruction, which also implies that the frequency switching will result in a chaotic for Frequency-Hopping communication system.

关键词： Chaotic communication Switches Fractals Estimation Variable speed drives

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