2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)最新文献

Rush Hour Capacity Enhancement in 5G Network Based on Hot Spot Floating Prediction 基于热点浮动预测的5G网络高峰时段容量增强

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00137

Shoufeng Wang, Fan Li, Hao Ni, Lexi Xu, Meifang Jing, Junyi Yu, Xidong Wang

{"title":"Rush Hour Capacity Enhancement in 5G Network Based on Hot Spot Floating Prediction","authors":"Shoufeng Wang, Fan Li, Hao Ni, Lexi Xu, Meifang Jing, Junyi Yu, Xidong Wang","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00137","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00137","url":null,"abstract":"Rush hour network capacity enhancement is one of the most hard-to-solve problems in the field of network optimization. With the bust of data traffic requirement in cellular communication, 5G network will face this challenge in future. However, there is few effective solutions to this problem for 5G network optimization. In this paper, a novel solution based on hot spot floating prediction is proposed. Our solution consists of a traffic prediction method for hot spot floating trend estimation, and a semi-dynamic distributed unit (DU) and active antenna unit (AAU) mapping to fit the forecasted high traffic burst with proper DU-AAU mapping. The proposed solution could fit real network irregular gNB distribution. Simulation outcomes indicate that the hot spot floating prediction precision outperforms around 10% in normalized root mean squired error with the existing prediction methods, and our semi-dynamic DU-AAU mapping solution receives a 20% throughput gain on average compared with that without DU-AAU mapping network solution.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"184 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121325182","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: 2

Multi-User Offloading and Resource Allocation for Vehicular Multi-Access Edge Computing 车载多址边缘计算的多用户卸载与资源分配

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00037

Wenhan Zhan, H. Duan, Qingxin Zhu

{"title":"Multi-User Offloading and Resource Allocation for Vehicular Multi-Access Edge Computing","authors":"Wenhan Zhan, H. Duan, Qingxin Zhu","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00037","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00037","url":null,"abstract":"By providing computation capability in the vicinity of vehicle terminals (VTs), multi-access edge computing (MEC) enables resource-demanding in-vehicle applications with significantly lower latency and less energy consumption. In this paper, we investigate the problem of offloading decision and resource allocation among multiple VTs to achieve the optimal system-wide user utility. Under the constraints of computation and wireless channel resources and VTs' mobility, this problem is mixed-integer non-linear programming (MINLP), which is generally NP-hard. A heuristic offloading decision method (HODM) is proposed, which decomposes the original problem into two subproblems, i.e., a convex computation allocation subproblem and a non-linear integer programming (NLIP) offloading decision subproblem, and settles them respectively. The convex subproblem is solved with a numerical method to obtain the optimal computation allocation among multiple offloading VTs, and a genetic algorithm (GA) based search algorithm is designed for the NLIP subproblem to determine the offloading decision. Several methods are utilized to reduce the enormous search space of this problem to make our solution more efficient. Extensive simulations are conducted by comparing with four baseline algorithms to demonstrate the superior performance of the proposed HODM.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122055996","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: 3

Blind Video Quality Assessment Based on Human Visual Characteristic 基于人眼视觉特征的盲视频质量评价

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00139

Shiyu Zhou, Xiqing Liu, Yuanbing Tian, Bin Fu, Xiuyan Xia, Jin Ge

引用次数: 1

Survey of Time Series Data Processing in Industrial Internet 工业互联网中时间序列数据处理研究综述

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00151

Miaoqiong Wang, Kai Wei, Chunyu Jiang

{"title":"Survey of Time Series Data Processing in Industrial Internet","authors":"Miaoqiong Wang, Kai Wei, Chunyu Jiang","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00151","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00151","url":null,"abstract":"This paper focuses on the processing requirements of time series data in industrial and IoT fields. The study of time series data processing in industry is continued for a long time, and a mature solution of using real-time/ historian database has been formed. However, with the new demand of Industrial Internet, old architectures are unable to fully support requirements (i.e., large amount and real-time analysis of industrial data). Meanwhile, a new architecture for processing real-time data in mobile Internet started to mature, this forms a solution called time-series database, which provides lots of new advantages. When we try to use a new technology to replace an old one, many aspects should be considered. This paper focuses on these challenges, starting with the demands of the industry, to analyze how to solve traditional problems with new technologies. This paper also analyzes the development trend of time series data processing and puts forward some general requirements for the application of new technology in the field of Industrial Internet, which lays a theoretical foundation for the application and development of basic technologies of Industrial Internet.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681790","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: 1

Message from the EEIoT 2019 Workshop Chair 2019年EEIoT研讨会主席致辞

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/iucc/dsci/smartcns.2019.00021

引用次数: 0

Symmetry Structure Research of Complex Community from Disconnection Vertexes Perspective 基于断连顶点的复杂群落对称结构研究

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00078

Duo Zhai, Jing Shan, Jiaying Wang, Mingyang Shao, Jianzhao Cao

引用次数: 0

Research on Sentence Similarity Calculation Based on Attention Mechanism and Sememe Information 基于注意机制和语义信息的句子相似度计算研究

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00072

Huang Jian, Yu Bai, Guiping Zhang, Wanwan Miu

{"title":"Research on Sentence Similarity Calculation Based on Attention Mechanism and Sememe Information","authors":"Huang Jian, Yu Bai, Guiping Zhang, Wanwan Miu","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00072","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00072","url":null,"abstract":"Focusing on the research of sentence similarity calculation, this paper proposes a method combining bidirectional long short-term memory networks, attention mechanism and sememe (BILSTM-ATTENTION-SEMEME) to achieve better results on semantic representation and in-depth understanding of the semantic level, consequently better resolve the problem in the aspect of semantics in the field of intelligent customer service. This method first solves the semantic representation problem through a model based on bidirectional long short-term memory networks and attention mechanism (Bilstm-Attention), then combines the sememe information of HowNet in the training of word vectors to improve the performance of semantic under-standing. Experimental results show that the proposed method is effective in the computation of sentence similarity in the field of intelligent customer service, and it can well combine the sememe knowledge of HowNet with the deep learning model based on attention mechanism. Compared with the baseline system, the accuracy rate increased by 6.5%.","PeriodicalId":410905,"journal":{"name":"2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123593123","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: 2

UAV Attack and Defense Optimization Guidance Method Based on Target Trajectory Prediction 基于目标轨迹预测的无人机攻防优化制导方法

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00108

Guanglei Meng, Cheng Zhang, Shouye Liu, Runnan Zhao

引用次数: 1

DSCI 2019 Program Committee DSCI 2019项目委员会

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/iucc/dsci/smartcns.2019.00026

引用次数: 0

UAV Task Assignment Algorithm Based on Splitting and Reorganization 基于分割重组的无人机任务分配算法

2019 IEEE International Conferences on Ubiquitous Computing & Communications (IUCC) and Data Science and Computational Intelligence (DSCI) and Smart Computing, Networking and Services (SmartCNS) Pub Date : 2019-10-01 DOI: 10.1109/IUCC/DSCI/SmartCNS.2019.00035

Jiehong Wu, Xin Su

引用次数: 0