2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)最新文献

Evaluating Checkpoint Interval for Fault-Tolerance in MapReduce MapReduce中容错检查点间隔的评估

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00046

Naychi Nway Nway, Julia Myint, Ei Chaw Htoon

引用次数: 1

A Reduced Overhead Low Complexity Sum Rate Optimization Algorithm for Massive MIMO System 大规模MIMO系统的低开销、低复杂度和率优化算法

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00067

Yuanyuan Ren, Yanhui Lu, Shou-yi Yang

引用次数: 0

Research on Civic Hotline Complaint Text Classification Model Based on word2vec 基于word2vec的市民热线投诉文本分类模型研究

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00044

JingYu Luo, Zhao Qiu, GengQuan Xie, Jun Feng, JianZheng Hu, XiaWen Zhang

{"title":"Research on Civic Hotline Complaint Text Classification Model Based on word2vec","authors":"JingYu Luo, Zhao Qiu, GengQuan Xie, Jun Feng, JianZheng Hu, XiaWen Zhang","doi":"10.1109/CYBERC.2018.00044","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00044","url":null,"abstract":"Automatic text classification plays an important role in text mining natural language processing and machine learning. It provides a lot of convenience for information retrieval and text management. In recent years, with the development of Internet technology, text data is rapidly expanding every day, such as microblog dynamic information sent by users, news content of major news portals, e-mail messages from users, posts from forums, blogs, etc. Most of the texts belong to short texts. The short texts have the characteristics of short length, sparse features, and strong context-dependence. Traditional methods have limited accuracy in direct classification. In order to solve this problem, this paper compares the characteristics of various models such as fastText, TextCNN, TextRNN, and RCNN, and the classification effect, trying to find the model with the highest comprehensive ability. Through the use of the Haikou City 12345 hotline complaint text data set for recognition accuracy estimation, the experimental results show that TextCNN has the best classification effect, while fastText has the shortest training time, and TextRNN is not satisfactory in terms of training time or classification effect.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116501568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Research on Auxiliary Content Distribution Based on OPNET on Campus 基于OPNET的校园辅助内容分发研究

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00026

Haodong Bian, Xiangyu Bai, Hua Zhang, Maoli Ran

{"title":"Research on Auxiliary Content Distribution Based on OPNET on Campus","authors":"Haodong Bian, Xiangyu Bai, Hua Zhang, Maoli Ran","doi":"10.1109/CYBERC.2018.00026","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00026","url":null,"abstract":"The widespread application of mobile communication technologies based on cellular networks has provided campus students with convenient content distribution services, but the high traffic costs can hardly meet the needs of students for downloading large files. Most campuses do not implement Wi-Fi-wide school coverage. Wi-Fi access is only available in certain fixed locations. Bluetooth in mobile phones is not usually networking and routing, so that students can not accurately get the resources they need in the nearby population. It can be seen that the common content acquisition methods on campus are difficult to meet the students' needs for resource content in a timely manner. It is possible to expand the coverage of the network with the help of widely used mobile intelligent terminal devices on campus. At the same time, mobile intelligent terminals can be used to enhance the sharing of campus network resources. Students can obtain the required resources at a lower cost without access to Wi-Fi. This paper combines mobile communication technology and Bluetooth communication technology. The use of mobile communication networks and portable smart terminals hybrid communication. A content distribution framework for campus networks was proposed. This new content distribution solution is suitable for the actual needs and application characteristics of student users on campus. It provides content distribution services on the campus in a low-cost and high-coverage manner. It promoted the construction of campus information. The OPNET simulation platform is used to model and simulate the proposed scheme. The network performance and content distribution efficiency are analyzed under different scenarios in this scenario. It tries to provide a theoretical basis for the specific implementation of the plan, which helps to improve the content distribution efficiency of the campus network environment.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"416 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124175119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Decentralized Cross-Layer Optimization for Energy-Efficient Resource Allocation in HetNets HetNets中节能资源分配的分散跨层优化

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00091

Yuanshuang Wang, Junjun Liu, Guowang Miao

引用次数: 1

A Video Analytics-Based Intelligent Indoor Positioning System Using Edge Computing For IoT 基于视频分析的物联网边缘计算智能室内定位系统

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00033

Yinghao Xie, Yihong Hu, Yuejun Chen, Yaqiong Liu, Guochu Shou

{"title":"A Video Analytics-Based Intelligent Indoor Positioning System Using Edge Computing For IoT","authors":"Yinghao Xie, Yihong Hu, Yuejun Chen, Yaqiong Liu, Guochu Shou","doi":"10.1109/CYBERC.2018.00033","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00033","url":null,"abstract":"In the context of Internet of Things (IoT) environments, obtaining the target's location information by analyzing a large number of video data captured by widely distributed camera nodes shows a good development prospect. As far as video analytics is concerned, for the purpose of reducing high processing costs and transmission time of video data, it is an effective solution to offload computing from the cloud to edge devices. In this paper, we design a four-layer video analytics architecture with the concept of edge computing and adopt the lightweight virtualization provided by the container technology to modularize the video analytics process. Based on the proposed architecture, an video analytics-based intelligent indoor positioning system is implemented. The proposed system can provide centimeter-level positioning accuracy and, at the same time, has a lower response delay than traditional cloud computing model. The experimental results show that, high-precision location information could be obtained with the help of billions of camera nodes, while for the large-scale video analytics, the usage of edge computing has great potentials.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129488597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

The Rainbow Restrained Domination in Torus Network 环面网络中的彩虹约束支配

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00077

Yongsheng Rao, Pu Wu, Z. Shao, Ramy S. Shaheen, S. M. Sheikholeslami, Lanxiang Chen

引用次数: 0

UWB-Based Real-Time Continuous Positioning System in NLOS Tunnel Environment NLOS隧道环境下基于uwb的实时连续定位系统

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00037

Jian Ling, Lei Wang, Hong Ji, Hu Xie, Junfeng Ding, Qiejun Dai

引用次数: 4

Publisher's Information 出版商的信息

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/cyberc.2018.00101

引用次数: 1

Maximum Data Rate and Error Performance Comparisons of SPAD Array Optical Receivers SPAD阵列光接收机的最大数据速率和误差性能比较

2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) Pub Date : 2018-10-01 DOI: 10.1109/CYBERC.2018.00082

Qianyu Chen, Clive Roberts

{"title":"Maximum Data Rate and Error Performance Comparisons of SPAD Array Optical Receivers","authors":"Qianyu Chen, Clive Roberts","doi":"10.1109/CYBERC.2018.00082","DOIUrl":"https://doi.org/10.1109/CYBERC.2018.00082","url":null,"abstract":"In this paper a novel photodiode (PD) for optical wireless communication (OWC) is introduced. The proposed receiver is single-photon avalanche diode (SPAD), which becomes popular recently due to its higher power efficiency and better timing resolution. The introduction of SPAD array further enhances the counting capacity. Firstly, detection statistics of single SPAD receiver is introduced briefly. More focus has then been put on SPAD array receivers, including detection statistics analysis and error performance evaluations among on-off keying (OOK), pulse-position modulation (PPM) and channel coded PPM systems. It is found that the maximum achievable data rate is observed by M-ary PPM systems with higher M value, at the cost of degraded spectral efficiency. The PPM system with higher M also shows better error performance for fixed incident source power. The main contributions of this work are the mathematical derivations and performance analysis of error probability in PPM systems and channel coded PPM systems, as well as maximum achievable data rate evaluations. It is proved that channel coded systems could improve the error performance to a large extent.","PeriodicalId":282903,"journal":{"name":"2018 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130467061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0