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International Conference on Cyberspace Technology, CCT 2014

作者： Zheng, Kun Lv, Tiejun Li, Yonghua Lu, Yueming School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service BUPT Ministry of Education Beijing China Key Lab. of Universal Wireless Communications BUPT Ministry of Education Beijing China

ISBN: (纸本)9781849199285

The interconnection of heterogeneous networks becomes a bottleneck in the development of the IoT. The birth of AllJoyn is just to solve this problem. At the same time, embedded devices with a specific function or a small number of functions occupy a large proportion in the IoT, how to achieve interconnection with resource limited devices becomes very important. In this paper, we divide the AllJoyn based IoT devices into two parts, one is AllJoyn Standard Client (AJSC) and the other is AllJoyn Thin Client (AJTC). We will compare AJTC with AJSC in AllJoyn distributed bus, communication flow and their architecture. This paper also points out the problem in AllJoyn thin client communication, and proposes a heartbeat mechanism for devices with online detection. Finally, we achieve the interconnection between AJTC and AJSC in a system prototype.

关键词： Heterogeneous networks

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A Novel Color Image Encryption based on Chaos and DNA Mutation

A Novel Color Image Encryption based on Chaos and DNA Mutati...

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IEEE International Conference on Signal and Image Processing (ICSIP)

作者： Mingliang Sun Jie Yuan Xiaoyong Li Dongxiao Liu Xinghai Wei Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9798350350920

ISBN: (纸本)9798350350937

The security of the color images is challenged by the illegal copying and distribution over various communication networks. This work proposed a novel color image encryption scheme based on the chaos and Deoxyribonucleic acid (DNA). Firstly, A novel four dimensions chaotic system is constructed and analyzed. Secondly, the DNA coding rules are controlled by the chaos-based pseudorandom sequence to substitute the image pixels. The column and row rotation are designed to disturb the image pixels. Finally, The DNA matrix coded from the color image is divided into blocks to implement the XOR and addition operation with the pseudorandom sequence. Its security is simulated and compared with other schemes. The comparison show that the proposed scheme has a higher key sensitivity, lower correlation of adjacent pixels, and higher NPCR and information entropy. Therefore, the proposed image encryption scheme is more capable against statical attacks and efficiency while keeping high robustness.

关键词： Sensitivity Image coding Chaotic communication DNA Color Robustness Matrices

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An android-based approach for automatic unit test

An android-based approach for automatic unit test

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International Conference on Cyberspace Technology, CCT 2014

作者： Liu, Yanmei Lu, Yueming Li, Yonghua School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service BUPT Ministry of Education Beijing China Key Lab. of Universal Wireless Communications BUPT Ministry of Education Beijing China

ISBN: (纸本)9781849199285

Unit test is the first stage in the V-Model and the foundation of software test. By means of integrating Android JUnit, a testing tool, into a continuous integration platform named Jenkins, this paper proposes a fully automated unit test approach. The approach can generate a visual test report for Android projects. This achievement can significantly increase the efficiency of multiple unit tests, and thus enable engineers to deliver their software products to the end users as soon as possible.

关键词： Integration testing

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QPSK-assisted MIMO equalization for 800-Gb/s/? DP-256QAM systems

QPSK-assisted MIMO equalization for 800-Gb/s/? DP-256QAM sys...

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2020 Asia Communications and Photonics Conference, ACPC 2020/International Conference on Information Photonics and Optical Communications, IPOC 2020

作者： Liu, Siqi Liu, Shuangyue Tang, Xizi Guo, Mengqi Lu, Yueming Qiao, Yaojun State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing100876 China

A QPSK-assisted MIMO equalization is investigated to compensate bandwidth limitation for 800-Gb/s/? DP-256QAM systems with only 25G-class optics. Compared with conventional MIMO equalization, the proposed equalization... 详细信息

ISBN: (纸本)9781557528209

关键词： Quadrature phase shift keying

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EFM: A Negative Network Public Opinion Early Warning Model Based on Evolutionary Feature Mining 8

EFM: A Negative Network Public Opinion Early Warning Model B...

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8th International Conference on Data Science in Cyberspace, DSC 2023

作者： Meng, Fanfeixue Wu, Jingchen Song, Feifan Wu, Xu Hu, Lan Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education China School of Cyberspace Security Bupt China Beijing University of Posts and Telecommunications Beijing China Bupt China School of Economics and Finance Changchun Finance College China

ISBN: (纸本)9798350331035

With the popularity of the Internet and the increase in the number of netizens, it is of great significance to effectively monitor and predict the negative network public opinion on social media platforms. Most mainstream negative network public opinion early warning models mainly focus on mining textual features, while neglecting the response and dissemination among netizens during the process of negative network public opinion fermentation. This is one of the important reasons for the accuracy bottleneck of them. This article proposes a negative network public opinion early warning model based on evolutionary feature mining. Firstly, by using entity linking techniques based on knowledge graphs, domain prior knowledge is supplemented for the text need to be analyzed for negative network public opinion. Then, the text sentiment features extracted based on long short-term memory networks and the evolutionary features extracted based on graph convolutional networks are fused through an enhanced-feature fusion method. Finally, the features are used for classification and early warning. Experimental results based on the Weibo public dataset show that the EFM model has higher early warning performance for negative network public opinion compared to other baseline models. The accuracy of this model is 0.959. © 2023 IEEE.

关键词： Enhanced-feature fusion Evolutionary feature Knowledge graph Negative network public opinion Sentiment analysis

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EML-Based IM/DD Transmission over Dispersion-Uncompensated Links Using Low-Complexity Optimized Detection

EML-Based IM/DD Transmission over Dispersion-Uncompensated L...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Liu, Shuangyue Cui, Han Tang, Xizi Lu, Yueming Qiao, Yaojun State Key Laboratory of Information Photonics and Optical Communications School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education School of Cyberspace Security Beijing University of Posts and Telecommunications Beijing100876 China

We experimentally demonstrate an EML-based 40-Gbit/s OOK IM/DD transmission over 120-km SSMF using a low-complexity optimized detection algorithm, which requires no multiplication during the update of survival path, s... 详细信息

ISBN: (纸本)9781957171005

关键词： Chromatic dispersion

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Sentence segmentation for classical Chinese based on LSTM with radical embedding

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The Journal of China Universities of Posts and Telecommunications 2019年第2期26卷 1-8页

作者： Han Xu Wang Hongsu Zhang Sanqian Fu Qunchao Liu Jun School of software Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Key Laboratory of Trustworthy Distributed Computing and Service (BUPT)Ministry of EducationBeijing 100876China The Key Laboratory of Rich-Media Knowledge Organization and Service of Digital Publishing Content Institute of Scientific and Technical Information of ChinaBeijing 100038China Insitute of Quantitative Social Science Harvard UniversityCambridgeMAUSA Department of statistics Harvard UniversityCambridgeMAUSA

A low-than character feature embedding called radical embedding is proposed,and applied on a long-short term memory(LSTM) model for sentence segmentation of pre-modern Chinese *** dataset includes over 150 classical Chinese books from 3 different dynasties and contains different literary ***-conditional random fields(LSTM-CRF) model is a state-of-the-art method for the sequence labeling *** model adds a component of radical embedding,which leads to improved *** results based on the aforementioned Chinese books demonstrate better accuracy than earlier methods on sentence segmentation,especial in Tang’s epitaph texts(achieving an F1-score of 81.34%).

关键词： LSTM radical embedding sentence segmentation

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A centralized home gateway architecture based on the analysis of user log

A centralized home gateway architecture based on the analysi...

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International Conference on Cyberspace Technology, CCT 2014

作者： Qi, Lei Lu, Yueming Li, Yonghua School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China Key Laboratory of Trustworthy Distributed Computing and Service BUPT Ministry of Education Beijing China Key Lab. of Universal Wireless Communications BUPT Ministry of Education Beijing China

ISBN: (纸本)9781849199285

Under the influence of the Internet, the household electronics are showing a trend of instrumentation. The utilization of IOT (Internet of Things) technology realizes the interconnection among electronics in the home environment, which leads to the emergence of home network. Home gateway is not only the core of home network, but also the control hub of household electronics. This paper proposes a centralized home gateway architecture based on the analysis of user log. This architecture makes it possible to provide personalized information services for users by collecting, storing and analysing user log. This architecture is evaluated by experiments conducted in a simulative home network and has a better performance in terms of UE (User Experience).

关键词： Home networks

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Unsupervised Domain Adaptation for Human Activity Recognition in Radar

Unsupervised Domain Adaptation for Human Activity Recognitio...

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IEEE National Conference on Radar

作者： Xinyu Li Xiaojun Jing Yuan He Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) Beijing University of Posts and Telecommunications Beijing China

ISBN: (数字)9781728189420

ISBN: (纸本)9781728189437

The difficulty of obtaining large-scale labeled radar data hinders the generalization of supervised deep learning algorithms, which makes the performance of these approaches drop when applied to a new domain. In this paper, we propose an unsupervised adversarial domain adaptation method with radar micro- Doppler spectrograms for human activity recognition. An improved adversarial loss, which has the same mechanism as Generative Adversarial Network, is employed for optimization. Besides, a multi-layer domain discriminator is presented in this method. A simulated dataset (source domain) with labeled radar spectrograms and a measured dataset (target domain) with unlabeled spectrograms are utilized for experiment. Experimental results demonstrate that the proposed method has good performance (with an average accuracy of 81.6%) on recognizing human activities without labeled measured spectrograms in the target domain. And comparison experiments with several state-of-the-art domain adaptation methods also indicate the efficiency of the proposed model.

关键词： Radar Feature extraction Spectrogram Adaptation models Training Task analysis Radar measurements

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MapReduce-based efficient betweenness approximation pivot method for large graphs

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International Journal of Information Technology and Management 2016年第2期15卷 144-167页

作者： Deng, Xiao Long Li, Yu Xiao Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications 10 Xitucheng Road Beijing100876 China

The important person is vital for information spreading efficiency in social networks, which has always been the hottest research field in recent years. Nowadays, with the increased information spreading speed in our daily life such as cellphone or microblog, the government and enterprise have realised that it is necessary and important to manage and control the information spreading in social networks of people by recognising the important person or VIP customer. Meanwhile, with the rapid increase of information in society activities recently, the distributed information system engineering such as MapReduce-based computation system has become more and more popular in large-scale social network data analysis in emergency case management or VIP customer recognition. In this article, a novel effective and efficient node betweenness approximation pivot selection method for largescale graphs is proposed based on MapReduce-based system for social network analysis (SNA). Furthermore, it has been proved useful in four discrete datasets and one continuous dataset (six month cellphone call graph) in VIP customer discovery for large graphs from real telecom data in China to help deal with customer relationship management more efficiently. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： MapReduce

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