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_第10页

Message from the MLSys 2019 Workshop Chairs 2019年MLSys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.2019.00019

Xuefeng Chen

引用次数: 0

Design and Implementation of Hex Computer Game Platform Hex电脑游戏平台的设计与实现

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.2019.00146

Yongjie Gui, Hedan Liu, Hang Yin, Zhongzhi Li, Na Guo

引用次数: 1

An Implementation of IoT-Based Weather Monitoring System 基于物联网的天气监测系统实现

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.2019.00135

Yu-Chung Tsao, Yin-Te Tsai, Yaw-Wen Kuo, Chaokung Hwang

{"title":"An Implementation of IoT-Based Weather Monitoring System","authors":"Yu-Chung Tsao, Yin-Te Tsai, Yaw-Wen Kuo, Chaokung Hwang","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00135","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00135","url":null,"abstract":"The living environment monitoring is a critical issue today. Many related researches focused on developing the living environment monitoring systems by using the web-based technology, but such information systems would increase the difficulty of promotion and migration to others, because of needing well-trained engineers to achieve and maintain such information system. This research focuses on developing the weather monitoring system. The main goal of the research is to use the technology of message queuing telemetry transport (MQTT) as roles of the communication layer instead of direct-connecting database, which can isolate the system migration complexity from heterogeneous relational database management system (RDBMS) and construct a distributed information system easily. Finally the contributions are demonstrated as implementation of the IoT-based weather monitoring system. The prototyping of the weather monitoring system is implemented and deployed at Wu-Tso elementary school for the students' learning of nature science and activity environment. In addition, the system is implemented using open sources and is easy to be deployed and scalable.","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":"114 3-4 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":"131450539","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: 11

Message from the DSCI 2019 Program Chairs 来自DSCI 2019项目主席的信息

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.2019.00008

引用次数: 0

Detection of Social Groups in Class by Affinity Propagation 亲和传播对班级社会群体的检测

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.2019.00106

Yajie Wang, Qiyang Peng, Zhao Pei, Miao Ma, Yuli Chen, Chengcai Leng, Honghong Yang

引用次数: 0

A k-Nearest Neighbor Algorithm Based on Homomorphic Encryption 基于同态加密的k近邻算法

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.2019.00032

Zhenzhou Guo, Shan Wang, Weifeng Jin, Changqing Gong, Na Lin

{"title":"A k-Nearest Neighbor Algorithm Based on Homomorphic Encryption","authors":"Zhenzhou Guo, Shan Wang, Weifeng Jin, Changqing Gong, Na Lin","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00032","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00032","url":null,"abstract":"Protection of privacy has become an essential problem in cloud platform security. In many cases, data is shared with the third party for the analysis purpose. However, the sharing of data for analysis is not safe. Fully homomorphic encryption (FHE) is very promising to deal with ciphertext without decryption, FHE has become one of the key technologies to improve the security of user sensitive information. In this paper, we solve the problem of privacy preserving k-Nearest neighbor classification (K-NN), which forms the basis of many data analysis applications. We propose a scheme FK-NN, which is based on homomorphic encryption and numerical comparator. In our scheme, the homomorphic subtraction operation is designed and implemented firstly. Then, the cloud calculates the nearest neighbors of a given data point while the data point as well as the data points in the training set are in encrypted form. We can obtain classification results which are in encrypted form. The correctness of the scheme has been shown over cardiac disease dataset. The results show the efficiency of the proposed scheme satisfy the requirements of the system and accurately classify data which is in encrypted form.","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":"103 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":"115751278","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

A Data Clustering Strategy for Enhancing Mutual Privacy in Healthcare System of IoT 物联网医疗系统中增强相互隐私的数据聚类策略

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.2019.00112

Xuancheng Guo, Hui Lin, Chuanfeng Xu, Wenzhong Lin

{"title":"A Data Clustering Strategy for Enhancing Mutual Privacy in Healthcare System of IoT","authors":"Xuancheng Guo, Hui Lin, Chuanfeng Xu, Wenzhong Lin","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00112","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00112","url":null,"abstract":"Recent advances in the healthcare system of Internet of Things (IoT) has led to a generation of a large amount of physic sensor data. Data analyst collects and analyzes these sensor data through wireless sensor network, so as to provide some treatment advices to physicians and patients. As a common data mining method, the k-means clustering algorithm is being applied to process large-scale sensor data. However, it also poses a threat of privacy leakage in the specific application process. To enhance the privacy in healthcare system of IoT, mutual privacypreserving k-means strategy (M-PPKS) based on homomorphic encryption is proposed in this paper, which neither discloses an individual's private information nor leaks the cluster center's characteristic data. An extension performance evaluation shows that, in the case of ensuring accurate clustering results, even if the analyst and individuals collude, the M-PPKS can prevent the disclosure of private information.","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":"1 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":"128692226","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

Dynamic Caustic Generation for Transparent Geometry in Virtualized GPU Environment 虚拟化GPU环境下透明几何图形的动态焦散生成

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.2019.00160

Hua Li, Xiangxue Kong, Wen Liu

引用次数: 1

Finding Global Contrast Core Subgraphs in Large-Scale Genetic Association Study 在大规模遗传关联研究中寻找全局对比核心子图

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.2019.00069

Lei Qiu, Yuan Li, Jing Sun, Jinsheng Liu, Yuhai Zhao

{"title":"Finding Global Contrast Core Subgraphs in Large-Scale Genetic Association Study","authors":"Lei Qiu, Yuan Li, Jing Sun, Jinsheng Liu, Yuhai Zhao","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00069","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00069","url":null,"abstract":"Genetic association study (GAS) is crucial to reveal the underlying principles of complex diseases. This is the first work that introduces contrast subgraph mining in two networks with significantly different edges or edge weights but the same vertices to solve GAS problem. It can not only detect the genetic loci highly associated with certain diseases, but discriminate between disease causing and disease preventing genetic loci, which captures more comprehensive and informative value for biologists. Inspired by the concept of r-core and minimum vertex weight, we propose to identify the novel global contrast r-core subgraphs r-GCCSs, which is more robust to outliers and redundancy. Further, we formulate the top-k r-GCCSs detection problem based on global contrast measure. In particular, (1) a linear time search algorithm is carefully developed to find the top-k r-GCCSs; (2) To further reduce the high computational cost, a linear space index is devised to support the top-k search. Comprehensive experiments on four large-scale real datasets demonstrate the efficiency and effectiveness of our approaches.","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":"11 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":"122103637","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

DCNN-BiGRU Text Classification Model Based on BERT Embedding 基于BERT嵌入的DCNN-BiGRU文本分类模型

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.2019.00132

He Huang, Xiaoyuan Jing, Fei Wu, Yong-Fang Yao, Xinyu Zhang, Xiwei Dong

{"title":"DCNN-BiGRU Text Classification Model Based on BERT Embedding","authors":"He Huang, Xiaoyuan Jing, Fei Wu, Yong-Fang Yao, Xinyu Zhang, Xiwei Dong","doi":"10.1109/IUCC/DSCI/SmartCNS.2019.00132","DOIUrl":"https://doi.org/10.1109/IUCC/DSCI/SmartCNS.2019.00132","url":null,"abstract":"Text Classification is a hot topic in natural language processing. In view of the strong correlation the structure of natural language, direct translation the text into vector will lead to too high dimension. In addition, traditional word vector usually maps words with a single vector, which cannot represent the polyseme of words and affect the accuracy of the final classification. In this paper, we propose a novel DCNN-BiGRU (Deep Convolutional Neural Network Bidirection Gated Recurrent) text classification model based on BERT(Bidirectional Encoder Representations from Transformer) embedding. The model adopts the BERT to train the language model of word semantic representation. The semantic vector is generated dynamically according to the context of the word, and then it is put into the DCNN-BiGRU hybrid model. By doing so, the semantic vector not only contains the local features of text but also the context features of text. Experiments on CCERT Chinese email sample set and movie comment data set verify the validity of this model.","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":"9 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":"129148705","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: 8