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Decision-feedback multiple symbol detection for differential space-time block coded UWB systems

Science China(Information Sciences) 2013年第4期56卷 50-59页

作者： LV TieJun WANG TaoTao GAO Hui Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationBeijing University of Posts and Telecommunications Department of Information Engineering The Chinese University of Hong Kong

The symbol-by-symbol differential detection scheme,originally employed to detect differential spacetime block coded(DSTBC) ultra-wideband(UWB) signal in previous work,su?ers from a performance degradation compared with coherent *** this paper,a noncoherent multiple symbol detection(MSD) scheme is proposed to enhance the performance of DSTBC-UWB *** the signal model of DSTBC-UWB is analyzed,the optimal maximum likelihood(ML) MSD is derived and then a suboptimal ML-MSD is obtained by channel ***,exhaustive search based MSD is impractical in DSTBC-UWB systems since its complexity increases exponentially with observation window *** decrease the computational complexity,the decision-feedback(DF) scheme is introduced to *** resultant DF-MSD yields reasonable complexity and solid performance improvement.

关键词： ultra-wideband(UWB) space-time block code(STBC) differential detection multiple symbol detection(MSD)

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Security model and key technologies for the Internet of things

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Journal of China Universities of Posts and Telecommunications 2011年第SUPPL.2期18卷 109-112页

作者： Yang, Jin-Cui Fang, Bin-Xing Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing 100876 China

This paper indicated the differences between Internet of things (IoT) and traditional information system by analyzing the linkage between communication, control, and computation, explained the necessary to put certain "security control" between computation and control, and presented the security model of IoT. It proposed a frame of security technologies in IoT, and guided the research direction about the key technologies of IoT security. © 2011 The Journal of China Universities of Posts and Telecommunications.

关键词： Internet of things

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A multi-objective emergency resource scheduling method based on MOEA/D 2

A multi-objective emergency resource scheduling method based...

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2nd International Conference on Algorithms, computing and Artificial Intelligence, ACAI 2019

作者： Li, Yanrong Li, Xiaoyong Hou, Liyang Kong, Wenping Ma, Wenxue Key Laboratory of Trustworthy Distributed Computing and Servic Beijing University of Posts and Telecommunications Beijing China National Engineering Laboratory for Integrated Command and Dispatch Technology Beijing China

ISBN: (纸本)9781450372619

After unconventional events occur, rapid emergency response is often needed in order to reduce losses. When there are more than one disaster points and more than one supply points, how to coordinate the local dispatch of emergency resources among these points is a problem worth studying. In this paper, we design a multi-objective, multi-point to multi-point and multi-resource emergency scheduling model that consider resources arrive time and transportation cost. Then a new emergency resource scheduling algorithm based on multi objective evolutionary algorithm based on decomposition (MOEA/D) is proposed, a new mutation operator was also designed to solve this problem. The experimental results show that this method can get a feasible scheduling scheme, which is faster than NSGA-II and has better scheduling results. © 2019 ACM.

关键词： Multiobjective optimization

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Incomplete fingerprint recognition based on feature fusion and pattern entropy

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The Journal of China Universities of Posts and Telecommunications 2013年第3期20卷 121-128页

作者： ZHANG Jie JING Xiao-jun CHEN Na WANG Jian-li School of Information and Communication Engineering Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications

Considering the inherent characteristics of incomplete fingerprint： local feature loss and global information distortion, the recognition progress has been mainly restricted by two critical problems： how to precisely extract informative features and still with compact representation of the incomplete fingerprint; and how to effectively measure the similarity between fingerprint images. In this paper, to handle the first problem, both the minutiae and orientation field feature are extracted and then fused to get a more comprehensive feature with scale and rotation invariability. Dealing with the second one, the pattern entropy is introduced to robustly measure the similarity of two incomplete fingerprints. Extensive experiments have been conducted on both those popular fingerprint databases and our extended databases containing more incomplete fingerprints. Meanwhile, thorough performance comparisons have been made with existing approaches. Experimental results show that our approach has more efficient ability especially in incomplete fingerprint recognition, and also performs well in both accuracy and efficiency.

关键词： incomplete fingerprint recognition feature fusion pattern entropy similarity measurement

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The Application of Robot Localization and Navigation Based on WSN in the Disaster Relief

The Application of Robot Localization and Navigation Based o...

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International Conference on trustworthy computing and services, ISCTCS 2012

作者： Cui, Xiaoyan Chen, Xiaoshuang Shi, Wei Zhang, Yi Key Laboratory of Trustworthy Distributed Computing and Service Automation School BUPT China

ISBN: (纸本)9783642357947

Disasters always disturb our normal life, and the loss is immeasurable. In this paper, we intend to find a new way to reduce the harm. We select the wireless sensor network to control the robot localization and navigation in the disaster relief. This paper means to design a pre-disaster monitoring and reconstruct network with new nodes added in the network, and robot position & navigation, and also build a post-disaster history disaster mode. This paper also takes consider of the actual result of the node energy consumption. It has practical significance. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Energy utilization

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A Fusion Scheme of Region of Interest Extraction in Incomplete Fingerprint

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电子学报(英文版) 2012年第4期21卷 663-666页

作者： JING Xiaojun ZHANG Bo ZHANG Jie ZHONG Mingliang School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education

A fusion scheme is proposed for incomplete fingerprint to extract the Region of interest (ROI) centered at the reference point. Firstly, the orientation entropy is computed. Secondly, it is necessary for ROI extraction to segment foreground and background efficiently. So, the feature vector, based on orientation and gray, is defined for segmentation with SVM. Then, the fingerprint seg- mentation of the incomplete area is re-computed and mea- sured with correlation and competition of texture, which is based on Local binary pattern (LBP). Finally, the proposed method is based on mutual information of fingerprint ori- entation and Poincare Index to detect the reference point of fingerprints, and then extract ROI. The performance of the new method is evaluated on FVC2004 database. And the performance is shown in the experiments and proves that it could locate the position of reference point of all type fingerprints more effectively and precisely.

关键词：指纹提取 Poincare 利息性能评估二进制模式 ROI 特征向量指纹检测 Incomplete fingerprint recognition, Re- gion of interest （ROI）, Fusion criterion.

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A User-Centric Approach to Activity Recognition and Guidance in Semantic Smart Home

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China Communications 2015年第S2期12卷 103-113页

作者： LI Haitao GUO Kun LU Yueming LI Yonghua South China University of Technology Guangdong Power Grid Co. Ltd Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Ministry of Education

Wireless smart home system is to facilitate people's lives and it trend to adopt a more intelligent way to provide services. It is very desirable in the recent SH market for the system to recognize users' behaviors and automatically response the corresponding activities to satisfy users' actual demands. However, activity models in the existing approaches are usually defined separately through knowledge-driven methods. These approaches cause that the activity models can't be matched with the services dynamically. To address the problem, we develop the semantic association model and a novel approach of activity recognition and guidance is presented. In our approach, the smart devices and users' requirements are described by semantic models. When the requirements are detected and understood, smart gateway can provide appropriate services, achieving activity assistance. The semantic association model allows all related elements in smart home connect with each other logically. The approach has been implemented and the results show that the success rate of the approach based on semantic association model is higher than 33% at average as compared to the approach based on predefined models. The proposed approach can effectively help people who are in trouble with learning or remembering in the common life.

关键词： Internet of Things smart home activity recognition activity guidance semantic model

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Cooperative Spectrum Sensing Based on Centralized Double Threshold in MCN

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China Communications 2020年第5期17卷 235-242页

作者： Hai Huang Junsheng Mu Xiaojun Jing School of Information and Communication Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of EducationBeijing 100876China

Cooperative spectrum sensing appears popular currently due to its ability to solve the issue of hidden terminal and improve detection performance in Cognitive Radio Networks. Meanwhile, double threshold based energy detector has attracted much attention for its low computational complexity and superior performance. Motivated by this, a cooperative spectrum sensing scheme is proposed in this paper based on centralized double threshold in the maritime communication networks(MCN), where the energy value of received signal in each cognitive node is forwarded to the fusion center for final decision based on double thresholds. Additionally, the proposed scheme is further optimized for the decisions that the energy is within the scope of maximum threshold and minimum threshold. Simulation experiments verify the performance of the proposed method.

关键词： cooperative spectrum sensing double threshold maritime communication network

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A deepfake video detection method based on multi-modal deep learning method 2

A deepfake video detection method based on multi-modal deep ...

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2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021

作者： Zhang, Yutong Li, Xiaoyong Yuan, Jie Gao, Yali Li, Linghui Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Beijing China

ISBN: (纸本)9781665437578

Recently, most deepfake video classification tasks depend on frame-level features and try to train deep neural networks to characterize fake videos. Although this kind of methods can achieve good results, they also waste the audio information and timing information of the deepfake video dataset. Therefore, to make better use of the audio information, we propose a multi-modal method to detect deepfake videos. The principle of our method is based on the mismatch between audio information and visual information, such as the inconsistency of mouth shape and voice. We calculate the modality dissonance score(MDS score) of videos to classify true/false videos. Extensive experiments reach 84.4% accuracy on the DFDC dataset, which demonstrates the effectiveness of our method. © 2021 IEEE.

关键词： Deep neural networks

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An IoT Device Recognition Method based on Convolutional Neural Network 3

An IoT Device Recognition Method based on Convolutional Neur...

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3rd International Conference on Neural Networks, Information and Communication Engineering, NNICE 2023

作者： Lu, Minghao Gao, Yali Li, Linghui Li, Xiaoyong Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

ISBN: (纸本)9798350335972

Device recognition is the primary step toward a secure IoT system. However, the existing equipment recognition technology often faces the problems of unobvious data characteristics and insufficient training samples, resulting in low recognition rate. To address this problem, a convolutional neural network-based IoT device recognition method is proposed. We first extract the background icons of various IoT devices through the Internet, and then use the ResNet50 neural network to extract icon feature vectors to build an IoT icon library, and realize accurate identification of device types through image retrieval. The experimental results show that the accuracy rate of sampling retrieval in the icon library can reach 98.5%, and the recognition accuracy rate outside the library can reach 83.3%, which can effectively identify the type of IoT devices. © 2023 IEEE.

关键词： Convolutional neural networks

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