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International Symposium on Wireless Communication Systems (ISWCS)

作者： Mingfeng Ma Tiejun Lv Xuewei Zhang Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Beijing China

This paper investigates the joint optimization of layered caching and beamforming design for scalable videos delivered by Dynamic Adaptive Streaming over HTTP in the multicell cloud radio access network. To transmit differential scalable videos, each video is divided into a base layer and a set of enhancement layers based on scalable video coding. Taking the layered property of scalable videos into account, we propose a layered caching scheme, i.e., multiple layers of different scalable videos are cached in the baseband unit pool and the cache-enabled cluster respectively, which alleviates the burden of backhaul links effectively. Since the quality of videos received by each user depends on the available bandwidth, the appropriate scalable videos are provided for users based on the transmission rates. To provide superior video quality for users, we aim to maximize the sum rate for users accessing the remote radio heads and regard the backhaul consumption as a quality of service constraint explicitly. Then, the weighted sum rate maximization problem is formulated, which can be converted into a quadratically constrained quadratic programming problem through the l 0 -norm approximation technique and the weighted minimum mean square error approach. Finally, simulation results demonstrate the superiority of the proposed scheme.

关键词： Videos Array signal processing Servers TV Wireless communication Bandwidth Radio access networks

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Joint Spectrum Sensing Based on Variance and Correlation Analysis

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China Communications 2017年第10期14卷 219-227页

作者： Junsheng Mu Xiaojun Jing Hai Huang Ning Gao Laboratory of Biological Recognition and Information Application Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education 100876 China

In this paper, a novel detection criterion is proposed to decide whether primary user(PU) exists based on joint analysis of the variance and correlation for observation signal,considering a correlation within the observed signal. Simultaneously, the corresponding detection thresholds are also designed. Simulation experiments verify the proposed method suits for the observation signal in Additive White Gaussian Noise(AWGN), Rayleigh,Rician channel and the detection performance is improved greatly.

关键词： spectrum sensing cognitive radio OFDM rayleigh AWGN

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Research on discrete emotion classification of Chinese online product reviews based on OCC model 3

Research on discrete emotion classification of Chinese onlin...

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3rd IEEE International Conference on Data Science in Cyberspace, DSC 2018

作者： Liu, Lina Qi, Jiayin School of Economics and Management Key Laboratory of Trustworthy Distributed Computing and Service School of Ethnic Minority Education Beijing University of Posts and Telecommunication Beijing China School of Management Shanghai University of International Business and Economics Shanghai China

ISBN: (纸本)9781538642108

There are many rich and multi-dimensional discrete emotional information in online reviews. The research of discrete emotion analysis in English online reviews is relatively early and has made some achievements, but the related research on Chinese online reviews, especially in consumption field is still in its infancy, which is the focus of this study. By taking the product reviews of a large Chinese e-commerce platform as the research object, and using the OCC model which is a kind of emotional cognition model as the basis of emotion classification, the study constructs six datasets annotated with six discrete emotions including satisfaction, disappointment, admiration, reproach, like and hate. CHI-based feature selection is performed for each review sample of the above six datasets and five traditional classifiers are used to classify the discrete emotions. The experimental result demonstrates the effectiveness of our proposed approach and shows that the classifier based on LR algorithm has the best classification effect for each discrete emotion. © 2018 IEEE.

关键词： Classification (of information)

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Performance Analysis of Small Cell Networks Using Accurate Path Loss Model at 39 GHz

Performance Analysis of Small Cell Networks Using Accurate P...

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International Symposium on Wireless Communication Systems (ISWCS)

作者： Yangying Zhang Xiaojun Jing Hui Gao Bohan Li Jianxiao Xie Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China

In this paper, we apply an accurate millimeter wave (mmWave) path loss model, obtained from outdoor measurement operated at 39 GHz in Qingdao, China, into the stochastic geometry analysis to investigate the system performance of small cell networks (SCNs) with non-identical user equipment (UE) - base station (BS) antenna heights. The analytical expressions for coverage probability and outage probability are derived in detail, which are functions of BS density and absolute difference between the antenna heights of BS and UE. The analytical results of coverage probability and outage probability are verified through Monte Carlo simulation. Our study shows that as the SCNs become denser, the impact of antenna heights difference on coverage and outage probability is more significant.

关键词： Loss measurement Antenna measurements Antennas Power system reliability Probability Array signal processing Analytical models

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A Particle Swarm Optimization based Feature Selection Method for Accident Severity Analysis

A Particle Swarm Optimization based Feature Selection Method...

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IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems

作者： Chenye Qiu Xingquan Zuo Fei Xiang School of Internet of Things Nanjing University of Posts and Telecommunications Nanjing China Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing China National Computer Network Emergency Response Technical Team Coordination Center of China Beijing China

ISBN: (数字)9781728107707

ISBN: (纸本)9781728107714

Reducing accident severity is an effective mean to improve road safety level. Many researches have been done to identify the risky features which would influence the accident severity. Many risky features need to be considered when building accident severity analysis model, including driver, highway, vehicle, accident, and atmospheric factors. Some of those features are irrelevant of redundant. Using those features would decrease the performance of the prediction model and bring additional computational burden. However, there are very few researches on feature selection in accident severity analysis problem to date. In this paper, we propose a particle swarm optimization (PSO) based feature selection method for accident severity analysis. The proposed method can obtain a reduced number of feature subset from the original feature pool. In order to testify the method, the accident data of Beijing from 2008 to 2010 are used for experiment. Experimental results show the proposed PSO based feature selection method can significantly reduce the number of features while improving the classification accuracy. Moreover, it can provide better interpretation of the accident severity analysis model.

关键词： Conferences Automation Control systems Intelligent systems

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Transfer pretrained sentence encoder to sentiment classification 3

Transfer pretrained sentence encoder to sentiment classifica...

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3rd IEEE International Conference on Data Science in Cyberspace, DSC 2018

作者： Bai, Man Han, Xu Jia, Haoran Wang, Cong Sun, Yawei School of Software Engineering Beijing University of Posts and Telecommunications Beijing100876 China International School Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Trustworthy Distributed Computing and Service Beijing University of Posts and Telecommunications Ministry of Education Beijing100876 China

ISBN: (纸本)9781538642108

Deep learning has been demonstrated to be very effective in many difficult tasks of computer vision(CV) and natural language processing(NLP). But this usually depends on a large number of available training samples to learn, and powerful computing resources (like GPU). In the tasks of computer vision, multiple deep layers of the model are initialized with weights pre-trained on the large-scale datasets like ImageNet, which improves the training speed of the network but does not reduce the performance of the network. Inspired by this, in this paper, in order to demonstrate that transfer is also effective in natural language processing(NLP), we transfer the encoder parts of two models trained under different tasks of NLP to sentiment classification. In the result, we can find that even if we use a simple classifier, we still get good accuracy. And we propose a persuasive explanation for the phenomenon that why the similarity of the representation vectors obtained by different encoders under the same sentence is not high. © 2018 IEEE.

关键词： Computer vision

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Theories of Social Media： Philosophical Foundations

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Engineering 2018年第1期4卷 94-102页

作者： Jiayin Qi Emmanuel Monod Binxing Fang Shichang Deng School of Management Shanghai University of International Business and Economics Shanghai 201620 China Institute of Artificial Intelligence and Change Management Shanghai University of International Business and Economics Shanghai 200336 China Institute of Cyberspace Advanced Technology Guangzhou University Guangzhou 510006 China China Electronics Corporation Beijing 100082 China Key Laboratory of Trustworthy Distributed Computing and Service of Ministry of Education Belting University of Posts and Telecommunications Beijing 100876 China

Although many different views of social media coexist in the field of information systems （IS）, such the- ories are usually not introduced in a consistent framework based on philosophical foundations, This paper introduces the dimensions of lifeworld and consideration of others, The concept of lifeworld includes Descartes＇ rationality and Heidegger＇s historicity, and consideration of others is based on instru- mentalism and Heidegger＇s ＂being-with,＂ These philosophical foundations elaborate a framework where different archetypal theories applied to social media may he compared： Goffman＇s presentation of sell Bourdieu＇s social capital, Sartre＇s existential project, and Heidegger＇s ＂shared-world,＂ While Goffman has become a frequent reference in social media, the three other references are innovative in IS research, The concepts of these four theories of social media are compared with empirical findings in IS literature, While some of these concepts match the empirical findings, some other concepts have not yet been inves- tigated in the use of social media, suggesting future research directions,

关键词： Social media Lifeworld Consideration of others Rationality Historicity lnstrumentalism Being-with Presentation of self

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A Broker-guided Trust Calculation Model for Mobile Devices of D2D Communications

A Broker-guided Trust Calculation Model for Mobile Devices o...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Jie Yuan Xiaoyong Li Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing University of Posts and Telecommunications Beijing P.R. China

In Device-to-Device (D2D)communications, the communication environments are multifarious and it is difficult for devices to distinguish undependable services and get successful cooperation. In this paper, we originally propose a broker-guided trust calculation model based on feedback from brokers of BSs which provide mobile network services. And we adopt lightweight trust evaluating mechanism which facilitates low-overhead trust computing algorithms to reduce networking risk and improve system efficiency. Compared with existing models, the experimental results show that our model have great advantage in both reliability and efficiency.

关键词： Device-to-device communication Reliability Base stations Cloud computing Computational modeling Mobile handsets Servers

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R-TAR: A Resilient Traffic Anomaly Recognition Mechanism for Backbone Network 10

R-TAR: A Resilient Traffic Anomaly Recognition Mechanism for...

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10th International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2018

作者： Li, Xueyu Zhang, Xu Wang, Dongbin School of Network Education Beijing University of Posts and Telecommunications Beijing100876 China National Engineering Laboratory for Mobile Network Security Beijing University of Posts and Telecommunications Beijing100876 China Key Laboratory of Ministry of Education and Trustworthy Distributed Computing and Service School of CyberSpace Security Beijing University of Posts and Telecommunications Beijing100876 China

ISBN: (纸本)9781538658369

The development of backbone networks leads to an increase in heterogeneous anomalies and cyberspace situation complexity, and traditional traffic monitoring cannot meet multiple-point concurrency design and resilience demand. Situational awareness from the military field can effectively deal with the anomalies with significant temporal-spatial characteristics. Considering the requirement of automatic control in practical application, the concept of resilient Cyber Physical System (R-CPS) is presented. Based on this concept, we propose resilient traffic anomaly recognition (R-TAR) which is a refined mechanism for spatiotemporal traffic anomaly assessment in backbone and develop the TAR algorithm to multi-HCRF (Hidden Conditional Random Fields). R-TAR provides a CPS-based feedback control loop integrating traffic sensing, decision making and information feedback. In view of the characteristics of backbone network traffic, we develop multi-HCRF to extract temporal and spatial situation from packet-granularity to flow-granularity for better performance, and obtain the overall-network-wide situation for feedback. The experimental evaluation establishes a proof-of-concept for the proposed model based on R-TAR, confirming the practicality and performance improvement of our approach on real datasets. © 2018 IEEE.

关键词： Cyber Physical System

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Research and Implementation of Trusted Data Collection Technology in Network Community

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IOP Conference Series: Earth and Environmental Science 2019年第1期234卷

作者： Xu Wu Sishu Duan Xiaqing Xie Key Laboratory of Trustworthy Distributed Computing and Service (BUPT) School of Cyberspace Security BUPT Beijing University of Posts and Telecommunications Library

This paper attempts to research and implement the data collection technology and trusted mechanism in network communities, and explore how to improve the reliability and credibility of the data collection process from...

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