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2017 IEEE 2nd International Conference on Big Data Analysis（ICBDA 2017）

作者： Kai Lei Shangchun Si Desi Wen Ying Shen Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology and Applications School of Electronic and Computer Engineering(SECE) Peking University

ISBN: (纸本)9781509036202

Medical synonym identification has been an important part of medical natural language processing(NLP).However,in the field of Chinese medical synonym identification,there are problems like low precision and low recall *** solve the problem,in this paper,we propose a method for identifying Chinese medical *** first selected 13 features including Chinese and English *** we studied the synonym identification results of each feature alone and different combinations of the *** the comparison among identification results,we present an optimal combination of features for Chinese medical synonym *** show that our selected features have achieved 97.37% precision rate,96.00% recall rate and 97.33% F1 score.

关键词： medical synonym feature selection bilingual multi-corpus

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A Knowledge Graph based Solution for Entity Discovery and Linking in Open-domain Questions

arXiv

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arXiv 2018年

作者： Lei, Kai Zhang, Bing Deng, Yang Zhang, Dongyu Shen, Ying Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology & Applications Peking University SHENZHENP.R518055 China C.S. Depart. Harbin Institute of Technology

Named entity discovery and linking is the fundamental and core component of question answering. In Question Entity Discovery and Linking (QEDL) problem, traditional methods are challenged because multiple entities in one short question are difficult to be discovered entirely and the incomplete information in short text makes entity linking hard to implement. To overcome these difficulties, we proposed a knowledge graph based solution for QEDL and developed a system consists of Question Entity Discovery (QED) module and Entity Linking (EL) module. The method of QED module is a tradeoff and ensemble of two methods. One is the method based on knowledge graph retrieval, which could extract more entities in questions and guarantee the recall rate, the other is the method based on Conditional Random Field (CRF), which improves the precision rate. The EL module is treated as a ranking problem and Learning to Rank (LTR) method with features such as semantic similarity, text similarity and entity popularity is utilized to extract and make full use of the information in short texts. On the official dataset of a shared QEDL evaluation task, our approach could obtain 64.44% F1 score of QED and 64.86% accuracy of EL, which ranks the 2nd place and indicates its practical use for QEDL problem. Copyright © 2018, The Authors. All rights reserved.

关键词： Knowledge graph

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Internet Traffic Analysis Using Community Detection and Apache Spark

Internet Traffic Analysis Using Community Detection and Apac...

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第九届网络分布式计算与知识发现国际会议( 2017 International Conference on Cyber-enabled distributed computing and knowledge discovery)

作者： Jiake Ni Weitao Weng Jiayu Chen Kai Lei Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology & Applications School of Electronic and Computer Engineering(SECE)Peking University SHENZHEN 518055P.R.CHINA

With the rapid development of Internet,Internet traffic and end hosts continue to grow in *** behavior analysis for a large-scale network is becoming more and more *** address these challenges,this paper proposes an Internet traffic analysis approach based on community detection to discover community consisted of end hosts with similar traffic behavior in a large campus ***,we use only the IP-to-IP information without packet payloads to model the similarity of end hosts in campus *** the similarity graph which represent the social behavior similarity of all end hosts is ***,we leverage label Propagation algorithm to discover end hosts community on the similarity *** satisfy demands for the scalable analysis of evergrowing Internet traffic data,a Spark-based Internet traffic analysis system is developed,including implementing the above *** experimental results based on real campus network traffic show the benefits of the proposed approach in analyzing traffic behavior of a large-scale network on host community level and detecting potential anomalous traffic *** proposed approach reduces the complexity of analyzing the traffic behavior of a large network compare with analyzing individual *** addition,the experimental results also demonstrate the Spark-based Internet traffic analysis system can analyze Internet traffic efficiently.

关键词： Internet traffic analysis community detection Apache Spark data mining

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Design and implementation of E-government oriented rapid BPM OA platform

Design and implementation of E-government oriented rapid BPM...

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International Conference on Systems and Informatics (ICSAI)

作者： Yukun Wang Kai Lei Jincheng Wu Xiaohui Huang Yuming Lu Institute of Big Data Technologies Peking University Shenzhen P.R. China Shenzhen Cloud Computing Center National Supercomputing Center in Shenzhen Shenzhen P.R. China Shenzhen Key Lab for Cognitive Services Engineering Shenzhen Institute of Information Technology Shenzhen P.R. China

The e-government system plays a prominent part in government's office work, however, in the development process, there exist some problems currently, such as repeated development of common functions but hard to satisfy various personalized needs, independence of different systems which makes information difficult to share. These problems have seriously hindered development progress, increased development cost, and may result in information isolated islands. To solve these problems, this paper proposes an e-government oriented BPM OA platform, and introduces its design and implementation process. To achieve rapid development, by analysis and abstraction, we extract main features of common e-government systems and make them into configurable functions. The powerful form builder, the explicit authority management method and the BPMN 2.0 based workflow engine can significantly simplify the development and deployment process, promote the inter-system information exchange, and improve development efficiency.

关键词： Engines Electronic government Process control Tools Monitoring

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A smart low-consumption IoT framework for location tracking and its real application

A smart low-consumption IoT framework for location tracking ...

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International Conference on Electronics Information and Emergency Communication

作者： Hao Tang Jian Shi Kai Lei Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Graduate School Shenzhen Guangdong China

ISBN: (纸本)9781509019984

Location-based services are increasingly popular. Smart devices embedded with GPS receiver are widely used in vehicle tracking, law enforcement and person monitoring. To provide real-time data collecting and analyzing, a backend server is necessary. A mobile app can work as a user client for accessing location data and remote control. In this paper, we describe the design and implementation of a system providing real-time positioning and tracking service. Our system consists of three parts: tracking device, backend server and mobile app. Our tracking device integrates GPS module, GSM/GPRS module and TCP/IP stack, capable of generating location data, establishing TCP connection and receiving SMS. Location data are transmitted over TCP connection from device to our backend server. The server is responsible for collecting and storing data. The server also provides an HTTP-based RESTful API for mobile app and web service. A mobile app is built for displaying data and controlling device remotely. Data accessing is via calling REST API and remote control is sent to device by SMS. Our device is compact in volume, accurate in positioning, and long in battery life. Our device has been integrated in a walking stick as a real-world product.

关键词： Servers Mobile communication Global Positioning System Legged locomotion Computer architecture Real-time systems Ground penetrating radar

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A CUBIC-Based Explicit Congestion Control Mechanism in Named Data Networking

A CUBIC-Based Explicit Congestion Control Mechanism in Named...

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International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC

作者： Yongbin Liu Xuewei Piao Chaojun Hou Kai Lei Shenzhen Key Lab for Cloud Computing Technology & Applications Peking University SHENZHEN P.R.CHINA

ISBN: (纸本)9781509051557

As named data networking (NDN) continues to evolve into a mature and production network, a robust and efficient congestion control mechanism has become a fundamental requirement for the success and wide deployment of NDN. In this paper, upon exploring the unique hop-by-hop Interest forwarding feature, based on the CUBIC, we develop a novel congestion control mechanism for NDN. Our congestion control mechanism, namely EC-CUBIC, borrows the core idea of CUBIC to control the sending rate of interest packets on consumers. Specially, in routers, we queue the data packets in every face and according to the queue length to send a congestion signal to consumers, upon which consumers take action timely for the congestion. In addition, we implement this mechanism in ndnSIM, an NS3-based simulator, and conduct a number of experiments with various settings to evaluate the link utilization and packets-drop rate of the proposed algorithm. Comparing with the naive congestion control algorithm in NDN, our experimental results demonstrate that EC-CUBIC perform bette in terms of high link utilization and low packets-drop rate.

关键词： Algorithm design and analysis Face Downlink Bandwidth Topology Packet loss

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The real implementation of NDN forwarding strategy on Android smartphone

The real implementation of NDN forwarding strategy on Androi...

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IEEE Annual Ubiquitous computing, Electronics & Mobile Communication Conference (UEMCON)

作者： Xuewei Piao Lei Huang Kaiqi Yuan Jie Yuan Kai Lei School of Electronic and Computer Engineering (SECE) Peking University Shenzhen P.R. China Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University Shenzhen P.R. China

ISBN: (纸本)9781509014972

A prototype system of Named Data Networking (NDN) wireless communication for Android is established based on NDN Forwarding Daemon (NFD). By porting NDN to Raspberry Pi and Android smartphone, the NDN-based Android application can connect to an NDN-supported access point built on Raspberry Pi, and communicate with remote NDN Testbed. As a contribution, this paper make a preliminary exploration on deploying NDN on Android terminals and interfacing Android smartphones with multiple NDN networks, on which various NDN forwarding strategies can be tested.

关键词： Androids Humanoid robots Wireless communication Java Libraries Routing Protocols

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A method to evaluate the spatial extensibility of a switching unit and network

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Science China(Information Sciences) 2014年第2期57卷 140-156页

作者： ZHANG Bo WU JunTing WANG BinQiang LI Hui National Digital Switching System Engineering Technological R&D Center Shenzhen Key Lab of Cloud Computing Technology and Application

Switching units and networks have been analyzed as extensible fabrics,mostly in terms of their scheduling *** traditional literature on switching extensibility has provided complexity theory only relating to the total numbers of inputs(or outputs)and exchange *** paper analyzes switching extensibility in terms of not only the scheduling algorithm and also the fabric *** is found that determining extensibility from soft complexity related to the number of inputs(or outputs)of the scheduling algorithm and the fabric extensibility in previous studies without quantization is a flawed conception.A method is thus proposed to express the spatial extensibility of a switching unit or network in terms of the connections of a switching resource and *** method calculates parameter ES(the efciency of switching)of an m×n switching unit and obtains two functions of the switching unit to describe spatial extensibility along with the number of unilateral inputs or *** is found that the range of ES is(0,1]and three types of switching unit and two types of crosspoint networks have ES=*** is calculated for banyan,Clos,parallel packet,fully interconnected and recirculation switching *** ES value for the banyan switching network is larger than that for other networks,and switching networks are classified into three types that have absolute/linear/denied spatial extensibility according to the limES *** is demonstrated that a switching network has the largest ES value when it contains only the five types of switching unit for which ES=***,a group-switching-first self-routing banyan switching network with lower blocking probability and time delay is deduced,and the ES method is contrasted with two other methods of evaluating spatial extensibility in terms of their mathematical expressions and intuitive graphics,for the five types of switching network listed above.

关键词： spatial extensibility connection state efciency of switching banyan fully interconnected recirculation switching network

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MDPF: An NDN Probabilistic Forwarding Strategy based on Maximizing Deviation Method

MDPF: An NDN Probabilistic Forwarding Strategy based on Maxi...

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IEEE Global Communications Conference

作者： Kai Lei Jie Yuan Jiawei Wang Shenzhen Key Lab for Cloud Computing Technology and Applications (SPCCTA) School of Electronics and Computer Engineering Peking University

ISBN: (纸本)9781479959532

Forwarding strategy is the key feature of Named Data Networking (NDN) to realize dynamic, adaptive and intelligent forwarding, but work in this area is still at a very preliminary stage. In this paper, selecting which forwarding interface among multiple alternatives in NDN is defined as a multiple attribute decision making (MADM) problem and a maximizing deviation based probabilistic forwarding (MDPF) strategy is proposed to select forwarding interface on probability. Since multiple network metrics such as interface status, pending Interest numbers are considered together, each alternative interface's availability is obtained more accurately. Thus, better content delivery efficiency can be achieved. In addition, MDPF provides good extensibility, as any appropriate metric can be added to enhance or customize it. We implement the proposal in ndnSIM and compare it with BestRoute and PI-based strategies under various topologies and scenarios. Experimental results show that MDPF strategy is more responsive and sensitive to network changes, and can realize higher throughput, lower drop rate as well as better load balance.

关键词： NDN gene Work area delivery efficiency

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Constructing Multiple Scene Graphs in Distributed Environment

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Computer Aided Drafting,Design and Manufacturing 2015年第1期25卷 16-21页

作者： XIA Rui WANG Guo-ping LI Sheng WANG Heng Shenzhen Key Lab for Cloud Computing Technology and Applications Shenzhen Graduate School of Peking University Graphics & Interaction Lab. School of Electronics Engineering and Computer SciencesPeking University Beijing Engineering Technology Research Center of Virtual Simulation and Visualization Peking University

Scene graph is a infrastructure of the virtual reality system to organize the virtual scene with abstraction, it can provide facility for the rendering engine and should be integrated effectively on demand into a real-time system, where a large quantities of scene objects and resources can be manipulated and managed with high flexibility and reliability. We present a new scheme of multiple scene graphs to accommodate the features of rendering engine and distributed systems. Based upon that, some other functions, e.g. block query, interactive editing, permission management, instance response, ＂redo＂ and ＂undo＂, are implemented to satisfy various requirements. At the same time, our design has compatibility to popular C/S architecture with good concurrent performance. Above all, it is convenient to be used for further development. The results of experiments including responding time demonstrate its good performance.

关键词： multiple scene graphs authority scene editing distributed systems

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