检索结果-内蒙古大学图书馆

IEEE Conference on Vehicular technology (VTC)

作者： Xiaolin Wang Hui Li Yingwei Luo Department of Computer Science and Technology Peking University Beijing China Shenzhen Key Laboratory for Cloud Computing Technology and Applications (SPCCTA) Peking University Shenzhen Graduate School Shenzhen China

In online map service for mobile users, it's necessary to provide different map data according to different application scenarios. For a given scenario, we can preprocess the map data to satisfy the online and mobile requirements. This paper proposes a rule-based pretreatment mechanism for online mobile map data which using a novel mobile map data format Byte-Map. Through the use of pretreatment rules definition and rule engine, we can externalize the decision logic from the business logic in data pretreatment mechanism. We can also separate the data preparer and data pretreatment programmer from each other. In one hand, the data preparer can make definition and configure rules to change the pretreatment procedure, without knowing the program code. In another hand, the data pretreatment programmer can avoid modifying and re-compiling program code for handling map data from different source and type. The rule-based pretreatment mechanism made the online mobile map data pretreatment procedure flexible and extensional.

关键词： Mobile communication Geometry Engines Business Mobile handsets Roads Geography

来源：评论

学校读者我要写书评

暂无评论

Internet Traffic Analysis Using Community Detection and Apache Spark

Internet Traffic Analysis Using Community Detection and Apac...

引用

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

来源：评论

学校读者我要写书评

暂无评论

A Case Study of Dependency Network for Building Packages: The Fedora Linux Distribution 35

A Case Study of Dependency Network for Building Packages: Th...

引用

35th International Conference on Software Engineering and Knowledge Engineering, SEKE 2023

作者： Du, Jiman Zhu, Jiaxin Li, Hui Chen, Wei Xu, Lijie Liu, Jie Chen, Zhifeng School of Computer Electronics and Information Guangxi University China State Key Lab of Computer Science ISCAS University of CAS China University of Chinese Academy of Sciences Nanjing China Nanjing Institute of Software Technology China MIIT Key Lab of Cloud Computing Standards and Applications China Electronic Standardization Institute China

To port the Linux distributions to a new Instruction Set Architecture (ISA), developers have to rebuild the software packages of the distributions. The complex dependencies of the software packages bring a great challenge. It is important to understand and properly handle the dependencies. We selected Fedora, a typical Linux distribution, and studied the dependencies within the software repositories of aarch64 and x86_64 architecture. We proposed a package dependency network framework to study the roles played by different packages. We obtained three network dependency patterns and proposed the corresponding division strategies which help developer build the source packages in parallel. Our study reveals that the key packages located at the root of multiple dependency chains significantly impact the division of the network, and their builds should be prioritized. Meanwhile, some packages with external dependencies can be temporarily masked to make a sub-network independent. Furthermore, the network dependency patterns are also observed in Fedora 33 riscv64 and OpenEuler riscv64. Our findings can help researchers have a better knowledge of Linux distribution dependency network and help practitioners conduct efficient package builds. © 2023 Knowledge Systems Institute Graduate School. All rights reserved.

关键词： Software packages

来源：评论

学校读者我要写书评

暂无评论

The real implementation of NDN forwarding strategy on Android smartphone

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

引用

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

来源：评论

学校读者我要写书评

暂无评论

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

arXiv

引用

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

来源：评论

学校读者我要写书评

暂无评论

Performance Comparison and Evaluation of Web Development Technologies in PHP, Python, and ***

Performance Comparison and Evaluation of Web Development Tec...

引用

IEEE International Conference on Computational Science and Engineering, CSE

作者： Kai Lei Yining Ma Zhi Tan Shenzhen Key Lab for Cloud Computing Technology & Applications (SPCCTA) Peking University SHENZHEN P.R. CHINA GuangDong Poya Information & Technology Co. LTD GUANGZHOU P.R. CHINA

ISBN: (纸本)9781479979820

Large scale, high concurrency, and vast amount of data are important trends for the new generation of website. *** becomes popular and successful to build data-intensive web applications. To study and compare the performance of ***, Python-Web and PHP, we used benchmark tests and scenario tests. The experimental results yield some valuable performance data, showing that PHP and Python-Web handle much less requests than that of *** in a certain time. In conclusion, our results clearly demonstrate that *** is quite lightweight and efficient, which is an idea fit for I/O intensive websites among the three, while PHP is only suitable for small and middle scale applications, and Python-Web is developer friendly and good for large web architectures. To the best of our knowledge, this is the first paper to evaluate these Web programming technologies with both objective systematic tests (benchmark) and realistic user behavior tests (scenario), especially taking *** as the main topic to discuss.

关键词： Benchmark testing Web servers Concurrent computing Java Educational institutions

来源：评论

学校读者我要写书评

暂无评论

A Practical Approach for Automatically Constructing Concept Map in E-learning Environments

A Practical Approach for Automatically Constructing Concept ...

引用

2014 IEEE International Conference on Progress in Informatics and computing

作者： Na Yi Hui Li Shenzhen Eng. Lab. of Converged Networks Technology Shenzhen Key Lab. of Cloud Computing Tech. and App Peking University Shenzhen Graduate School

With the prevalence of web-based learning, the application of concept mapping, as a powerful diagnostic and instructional tool, has been widely exploited in both education and computer science. In recent years, several methods have been presented toautomatically construct concept map that achieved encouraging results, while ignoring some critical issues when applied in actual E-learning system. In this paper,we propose a practical approach for constructing concept map,which is adapted tothe dynamic character of a real ***, we apply fuzzy set theory and fuzzy reasoning basis on fuzzy rules for similarity degree between twoconcepts, tofind direct prerequisite relationship among concepts. It provides a useful way toimprove accuracy and reduce complexity of the concept map.

关键词： concept map E-learning fuzzy set education

来源：评论

学校读者我要写书评

暂无评论

A Secure Synchronized Reading System over Time-Critical Online Contests

A Secure Synchronized Reading System over Time-Critical Onli...

引用

IEEE International Conference on Communications

作者： Wei Wang Peng Xu Hui Li Laurence Tianruo Yang Key Lab of Cloud Computing Technology Peking University Shenzhen China Services Computing Technology and System Lab Cluster and Grid Computing Lab Huazhong University of Science and Technology Wuhan China Embedded and Pervasive Computing Lab Huazhong University of Science and Technology Wuhan China

The time-critical online contest environment calls for an elegant and precise management system to start a contest online. The management system should simultaneously follow three rules of security that are confidentiality, anonymity and fairness. We present in this paper a novel system named Secure Synchronized Reading (SSR) system as well as its corresponding security model according to the three rules. SSR can evoke a synchronized start for all competitors in a contest at the intended time by employing a Randomness-reused Identity-Based Encryption (RIBE) scheme. It can avoid huge differences among delivery delays of heterogeneous competitors and any false start by an adverse competitor. Consequently when an online contest begins, the SSR system performs quasi real-time with ignorable communication delays in the security model. As a complement, the analysis on the provable security of SSR is given finally, as well as a further analysis on the achievement of synchronization.

关键词： Synchronization Encryption Delays Real-time systems Identity-based encryption

来源：评论

学校读者我要写书评

暂无评论

Extracting Unknown Words from Sina Weibo via Data Clustering

Extracting Unknown Words from Sina Weibo via Data Clustering

引用

IEEE International Conference on Communications

作者： Kai Lei WeiYang Zhang Kai Zhang Kuai Xu Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology & Applications School of Electronics and Computer Engineering (SECE) Peking University School of Mathematical and Natural Sciences Arizona State University

ISBN: (纸本)9781467364300

Sina Weibo, a Twitter-like microblogging site attracting over 240 million monthly active users to tweet, retweet, and comment, has rapidly become one of the most popular social media sites in China. As many users create new and innovative words on their tweets and comments, it is necessary to extract these emerging words, which do not exist in today's Chinese vocabulary or dictionary. Towards this end, this paper proposes a novel method based on data clustering of Weibo users and tweets for extracting unknown words from Weibo tweets and comments. Specifically, relying on the similarity of the users who post the tweets, we apply a hierarchical clustering to divide Weibo data into distinct groups, e.g., sports, news stories, movies, before extraction. Comparing with the method of unclustered Weibo data, our experimental results have successfully demonstrated the benefits of the proposed data clustering scheme for improving the recall and accuracy of extracting unknown Chinese words from tweets and comments.

关键词： Entropy Context Data mining Clustering algorithms Social network services Clustering methods Couplings

来源：评论

学校读者我要写书评

暂无评论

Profiling the Followers of the Most Influential and Verified Users on Sina Weibo

Profiling the Followers of the Most Influential and Verified...

引用

IEEE International Conference on Communications

作者： Huiyu Wang Kai Lei Kuai Xu Institute of Big Data Technologies Shenzhen Key Lab for Cloud Computing Technology & Applications School of Electronics and Computer Engineering (SECE) Peking University School of Mathematical and Natural Sciences Arizona State University

ISBN: (纸本)9781467364300

The new social media such as Twitter and Sina Weibo has become an increasingly popular channel for spreading influence, challenging traditional media such as TVs and news-papers. The most influential and verified users, also called big-V accounts on Sina Weibo often attract million of followers and fans, creating massive "celebrity-centric" social networks on the social media, which play a key role in disseminating breaking news, latest events, and controversial opinions on social issues. Given the importance of these accounts, it is very crucial to understand social networks and user influence of these accounts and profile their followers' behaviors. Towards this end, this paper monitors a selected group of influential users on Sina Weibo and collects their tweet streams as well as retweeting and commenting activities on these tweets from their followers. Our analysis on tweet data streams from Sina Weibo reveals when and what the followers comment on the tweets of these influential users, and discovers different temporal patterns and word diversity in the comments. Based on the insight gained from follower characteristics, we further develop simple and intuitive algorithms for classifying the followers into spammers and normal fans. Our experimental results demonstrate that the proposed algorithms are able to achieve an average accuracy of 95.20% in detecting spammers from the followers who have commented on the tweets of these influential accounts.

关键词： Classification algorithms Fans Social network services Media Feature extraction Standards Entropy

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：