检索结果-内蒙古大学图书馆

Appearance model based moving object matching across disjoint camera views

2nd International Conference on Opto-Electronics Engineering and Materials Research, OEMR 2013

作者： Yu, Kong Shuai Hu, Dong Education Ministry's Key Lab of Broadband Wireless Communication and Sensor Network Technology The key lab of image processing and image communications of Jiangsu Province Nanjing University of Posts and Telecom Nanjing 210003 China

ISBN: (纸本)9783037857731

A new object tracking scheme for multi-camera surveillance with non-overlapping views is proposed in this paper. Brightness transfer function (BTF) is used to establish relative appearance correspondence between different views. Mixtures of probabilistic principal component analysis (MPPCA) is incooperated to learn the subspace of brightness transfer function with the concern to deal with multiple different brightness areas in a scene. The incremental major color spectrum histogram (IMCSH) is used as similarity measure for reliable matching. Experimental results with real world videos show the effectiveness of the proposed algorithm. © (2013) Trans Tech Publications, Switzerland.

关键词： Luminance

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An Energy-Efficient Distributed Compressed Sensing Architecture for wireless sensor networks Based on a Distributed Wavelet Compression Algorithm

An Energy-Efficient Distributed Compressed Sensing Architect...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Hai-feng HU Zhen YANG Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Na Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNan

wireless sensor networks (WSN) are mainly characterized by a potentially large number of distributed sensor nodes which collectively transmit information about sensed events to the sink. In this paper, we present a centralized generating algorithm running at the sink to obtain the distributed wavelet basis in WSN. And on this basis, Wavelet Transform-based Distributed Compressed Sensing (WTDCS) algorithm is proposed to compress and reconstruct sensor observations with spatial correlations. Finally, the analysis of relationship between reconstruction error and energy consumption in WTDCS is carried out by simulation. The results show that WTDCS can achieve high performance in terms of energy and reconstruction accuracy, as compared to conventional distributed wavelet transform algorithm.

关键词： WSN Distributed Compressed Sensing Distributed Wavelet Transform

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Detecting Selective Forwarding attacks in WSNs using Watermark

Detecting Selective Forwarding attacks in WSNs using Waterma...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Deng-yin ZHANG Lin Siyuan Chao Xu Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Po Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Pos

-This paper studies the selective forwarding attacks in wireless sensor networks (WSNs) and proposes a method to detect selective forwarding attacks based on digital watermarking technology. This method embeds watermark into the source data packets, which will be extracted at the base station (BS). The BS will judge whether there are malicious nodes in the transmission path by analyzing the packet loss rate from received data. Simulation results show that this method can effectively detect whether malicious nodes have discarded or tampered the contents of the packets.

关键词： Selective forwarding attacks Digital watermarking WSNs GPSR

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Research on image compression and transmission mechanism for wireless multimedia sensor networks

Research on image compression and transmission mechanism for...

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2nd Annual Conference on Electrical and Control Engineering, ICECE 2011

作者： Xiao, Fu Zhang, Pan Sun, Li-Juan Wang, Jing Wang, Ru-Chuan College of Computer Nanjing University of Posts and Telecommunications Nanjing China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Ministry of Education Nanjing China

ISBN: (纸本)9781424481637

A image compression and adaptive smoothing transmission mechanism for wireless multimedia sensor networks. Goal of our work is to minimize image distortion with the multimedia sensor network conditions varying constantly. Method which uses Set Partitioning in Hierarchical Trees (SPIHT) algorithm based on lifting wavelets for real-time images compression is first presented, and then a framework for realtime image delivery self-adapting over a TCP-friendly connection is depicted. In the context of this scheme, an adaptive smoothing algorithm is also developed based on the predicted available bandwidth to stream real-time image over the TCP-friendly rate control (TFRC) Protocol. Through simulation experiments, it has been shown that this adaptive algorithm performs for a wide-range of the bandwidth scenarios, and a smooth TCP-friendly real-time image transfer for wireless multimedia sensor networks can be accomplished by this proposed scheme. © 2011 IEEE.

关键词： Image compression

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Feature Extraction Model of Smart Fire Fighting Water Cyber Physical System based on LSTM 10

Feature Extraction Model of Smart Fire Fighting Water Cyber ...

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10th IEEE Joint International Information technology and Artificial Intelligence Conference, ITAIC 2022

作者： Zhu, Leiji Liu, Pingping Xiong, Yong Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Chinese Academy of Sciences Key Laboratory of Wireless Sensor Network and Communication Shanghai200050 China

ISBN: (数字)9781665422079

ISBN: (纸本)9781665422079

In order to realize the condition monitoring and judgment of intelligent fire cyber physical water system, a feature extraction model of intelligent fire cyber physical water system based on LSTM is designed in this paper. In physical space, a real-time pressure information acquisition system is constructed based on intelligent water pressure sensor equipment and the closed-loop control command is completed by new intelligent gateway equipment. In the information space, based on LSTM architecture, a feature extraction and classification judgment model of high-pressure and low-pressure states based on one-dimensional time series pressure information is constructed. The experimental data show that the designed model has an average detection accuracy of 81.5%. The model can provide technical support for the closed-loop control of intelligent fire cyber physical water system. © 2022 IEEE.

关键词： Cyber Physical System

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A multi-path transmission algorithm for Layered scalable coding

A multi-path transmission algorithm for Layered scalable cod...

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2011年无线通信与信号处理国际会议(WCSP 2011)

作者： Lin Siyuan Deng-yin ZHANG Jun Wen Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Pos Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Po

wireless Multimedia sensor network (WMSN) need to transfer large amounts of video streaming data, how to achieve efficient and reliable transmission becomes a research hotspot. Layered scalable coding techniques can reduce the amount of data to improve channel efficiency. The multi-path transmission technology can balance the network load to fully utilize network resources. This paper presents a multi-path transmission algorithm for Layered scalable coding. First, the source node divides the video source sequence into base layer and enhancement layers through scalable video coding. Second, the energy delay gradient and delay gradient are set up for each sensor node. Last, multiple paths with different service quality are set up according to node gradient, so that it can adapt to the transmission needs of different stream layers. Simulation results show that the algorithm has good bandwidth adaptation and can better meet the business requirements of different users.

关键词： wireless Multimedia sensor network layered scalable coding multipath transmission

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Design and Experiment of Smart Fire Electric Power Monitoring System Based on the Cyber-Physical Model 2

Design and Experiment of Smart Fire Electric Power Monitorin...

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2nd IEEE International Conference on Information technology, Big Data and Artificial Intelligence, ICIBA 2021

作者： Zhu, Leiji Yao, Wei Xiong, Yong Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Key Laboratory of Wireless Sensor Network and Communication Chinese Academy of Sciences Shanghai200050 China

ISBN: (纸本)9781665428767

In order to realize smart fire electric power alarm monitoring, this paper designs a smart fire electric power monitoring system based on the cyber-physical model. In the physical space, the system receives the information, including the voltage, temperature, current, instantaneous power and other characteristic data from the SDF400 fault electric arc detection sensor. In the information space, the system builds a feature anomaly judgment model based on the kmeans++ clustering algorithm and the mathematical criterion including bessel formula and raida criterion. Experimental test data show that the anomaly judgment model has an average 92.4% correct alarm rate and 2% false alarm rate. The precise results of the model provide a basis for smart fire electric power safety monitoring and support smart power control application scenarios such as smart circuit closing. © 2021 IEEE.

关键词： Cyber Physical System

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Interdependency measure and analysis for cross-layer design in WLAN

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International Journal of Advancements in Computing technology 2011年第11期3卷 238-245页

作者： Chen, Rui Wang, Wennai Mi, Zhengkun Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China School of Communications engineering Nanjing Institute of Technology China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications China

Interdependency among system parameters may significantly affect the cross-layer design and optimization performance of wireless networks. However, it is very difficult to derive the interdependency among system parameters in a dynamic complex networking system due to the uncertainty of data observation and system modeling. In this research, we propose a new approach for dynamic interdependency measure among system parameters by using non-additive measure theory. In particular, the Choquet integral model is applied to distinguish the interaction among system parameters towards the objective function through a set of non-additive measures. Then the most significant effect subset of system parameters on the performance metrics of interest for system objective function is identified. The simulations show that it is only need to adjust the parameters in the optimized subset according to the interdependency measure can improved the network throughput, consequently, the radio resource is utilized more reasonably.

关键词： Uncertainty analysis

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Dynamic Calculation Model for Pressure Safety Monitoring of Municipal Water Supply network with Interference Elimination Function between Neighboring Nodes 5

Dynamic Calculation Model for Pressure Safety Monitoring of ...

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5th IEEE Advanced Information technology, Electronic and Automation Control Conference, IAEAC 2021

作者： Zhu, Leiji Xiong, Yong Yang, Xiumei Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Broadband Wireless Communication Technology Laboratory Shanghai200050 China Key Laboratory of Wireless Sensor Network and Communication Chinese Academy of Sciences Shanghai200050 China

ISBN: (纸本)9781728180281

In order to monitor the pressure safety status of municipal water supply network, the dynamic calculation model of pressure safety monitoring of municipal water supply network with the function of eliminating interference between neighboring nodes was studied by using the Internet of things and data processing technology. Based on the calculation of the attenuation coefficient of pressure wave in municipal pipe network, this paper discusses the establishment method of neighbor coordinates between monitoring points by the constraint of pressure wave attenuation distance, and then combines the data processing technologies such as pressure mean value, pressure difference, pressure variance, pressure variance growth rate, etc., to construct a dynamic monitoring calculation model of pressure safety state with the function of eliminating interference between neighboring nodes. The research shows that the model can complete the dynamic calculation and real-time warning of the pressure safety state monitoring of the municipal water supply network through the acquisition, processing and feedback of the pressure of the municipal water supply network, realize the pressure safety state monitoring of the municipal water supply network, and improve the dynamic information safety management level of the municipal water supply network. © 2021 IEEE.

关键词： Internet of things

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Task-Oriented Semantic communication with Foundation Models

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China communications 2024年第7期21卷 65-77页

作者： Chen Mingkai Liu Minghao Zhang Zhe Xu Zhiping Wang Lei Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China School of Ocean Information Engineering Jimei UniversityXiamen 361021China Key Laboratory of Underwater Acoustic Communication and Marine Information Technology(Xiamen University) Ministry EducationXiamen 361005China

In the future development direction of the sixth generation(6G)mobile communication,several communication models are proposed to face the growing challenges of the *** rapid development of artificial intelligence(AI)foundation models provides significant support for efficient and intelligent communication *** this paper,we propose an innovative semantic communication paradigm called task-oriented semantic communication system with foundation ***,we segment the image by using task prompts based on the segment anything model(SAM)and contrastive language-image pretraining(CLIP).Meanwhile,we adopt Bezier curve to enhance the mask to improve the segmentation ***,we have differentiated semantic compression and transmission approaches for segmented ***,we fuse different semantic information based on the conditional diffusion model to generate high-quality images that satisfy the users'specific task ***,the experimental results show that the proposed system compresses the semantic information effectively and improves the robustness of semantic communication.

关键词： diffusion model foundation model joint source-channel coding task-oriented semantic communication

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