2020 IEEE International Conference on Smart Internet of Things (SmartIoT)最新文献_第2页

Analysis on Caching Strategy for Device-to-Device Communication with Multiple Helpers 多助手设备对设备通信缓存策略分析

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00030

Hui Song, Qunying Wu, Zhikai Liu, Feng Ke, Daru Pan, Xian Zhou

引用次数: 0

Efficient Privacy-Preserving Electronic Voting Scheme Based on Blockchain 基于区块链的高效隐私保护电子投票方案

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00036

Ze Xu, Sanxing Cao

引用次数: 4

A low power circuit for medical drip infusion monitoring system 一种用于医用点滴输液监测系统的低功耗电路

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00062

Shaojun Jiang, Yilin He

引用次数: 4

Wireless Signal Based Elderly Fall Detection Using XGboost Algorithm 基于XGboost算法的无线信号老年人跌倒检测

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00054

Juan Wen, Zhiyong Yang, Lei Jin

引用次数: 2

A Discover of Class and Image Level Variance Between Different Pruning Methods on Convolutional Neural Networks 卷积神经网络不同剪枝方法的类和图像级方差研究

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00034

Shihong Gao

引用次数: 2

NetCruiser: Localize Network Failures by Learning from Latency Data NetCruiser:通过学习延迟数据来定位网络故障

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00013

Haoshi Ren, Lihai Nie, Hongyun Gao, Laiping Zhao, J. Diao

引用次数: 1

Compact Fault Dictionaries for Efficient Sensor Fault Diagnosis in IoT-enabled CPSs 面向物联网cps的高效传感器故障诊断的紧凑故障字典

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00042

Stavros A. Viktoros, M. Michael, M. Polycarpou

{"title":"Compact Fault Dictionaries for Efficient Sensor Fault Diagnosis in IoT-enabled CPSs","authors":"Stavros A. Viktoros, M. Michael, M. Polycarpou","doi":"10.1109/SmartIoT49966.2020.00042","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00042","url":null,"abstract":"The recent advances in the area of Internet-of-Things (IoT) have allowed for the implementation of complex large-scale Cyber-Physical Systems (CPSs). This phenomenon calls for efficient and scalable solutions for the new challenges being introduced. Sensor fault diagnosis has emerged as a priority in various IoT-enabled CPSs, especially for critical infrastructure applications where multiple IoT devices might be in use. In this work, we examine the problem of building a compact fault dictionary which allows for efficient real-time model-based multiple sensor fault detection and isolation. The problem under consideration is formulated as a combinatorial set problem and then efficiently encoded using Zero-suppressed binary Decision Diagrams (ZDDs), which are specialized data structures based on Boolean theory. The proposed approach is highly scalable with respect to the total number of sensor fault scenarios considered. Using the respective ZDD as a fault dictionary reduces the memory requirements by several orders of magnitude when compared to the conventional approach. This is achieved while allowing the fault isolation process to occur in linear time to the size of the dictionary. Our experimental results show that it takes between 0.002s to 0.012s for performing the fault isolation process in the range of tested systems.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116171484","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

A New Link Prediction in Directed Networks Based on Attributes Fusion 一种基于属性融合的有向网络链路预测方法

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00032

Zhicheng Li, Lixin Ji, Shuxin Liu, Jinsong Li

引用次数: 1

Increasing the pervasiveness of the IoT: fog computing coupled with pub&sub and security 增加物联网的普遍性:雾计算与公共&sub和安全性相结合

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00019

S. Sicari, A. Rizzardi, A. Coen-Porisini

{"title":"Increasing the pervasiveness of the IoT: fog computing coupled with pub&sub and security","authors":"S. Sicari, A. Rizzardi, A. Coen-Porisini","doi":"10.1109/SmartIoT49966.2020.00019","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00019","url":null,"abstract":"People are increasingly surrounded by a connected world, where they can gather and share information everywhere, at anytime, and by means of a variety of devices, belonging to the so-called Internet of Things (IoT) network. IoT technologies and applications are spreading in different scenarios, ranging from every-day life activities to business ones. The presence of a huge amount of data, continuously transmitted over the network, brings relevant issues in terms of scalability. Hence, a proper network infrastructure must be put in action, in order to efficiently manage the information. A middleware layer could be a potential solution for overcoming such an issue, and to cope with interoperability. In literature, many architectures have been proposed in the last years, but little attention has been paid to how to decentralize as much as possible all the network’s components and tasks, in order to cover a wider area, avoiding single points of failure, while guaranteeing efficiency. Moreover, the interest of different stakeholders is not adequately considered yet. In this sense, fog computing represents a viable approach, which is adopted in this paper for the realization of a highly distributed and security-aware IoT middleware, aimed at operating without the need of a central coordinating unit and at allowing the participation of multiple stakeholders in the same IoT infrastructure. The proposed solution exploits the functionalities provided by the MQTT protocol, and its potentialities, besides the architectural features, are evaluated by means of a simple yet real test-bed, in terms of computing effort and latency.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130449601","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

Analysis on the Usage of Topic Model with Background Knowledge inside Discussion Activity in Industrial Engineering Context 基于背景知识的话题模型在工业工程讨论活动中的应用分析

2020 IEEE International Conference on Smart Internet of Things (SmartIoT) Pub Date : 2020-08-01 DOI: 10.1109/SmartIoT49966.2020.00012

Muhammad Luthfi, S. Goto, Osamu Ytshi

{"title":"Analysis on the Usage of Topic Model with Background Knowledge inside Discussion Activity in Industrial Engineering Context","authors":"Muhammad Luthfi, S. Goto, Osamu Ytshi","doi":"10.1109/SmartIoT49966.2020.00012","DOIUrl":"https://doi.org/10.1109/SmartIoT49966.2020.00012","url":null,"abstract":"Consensus building process for enterprise digital transformation is a significant approach on the implementation of Internet of Things (IoT) solutions through product lifecycle management (PLM). When we improve the consensus building process, it is important to find any latent opinions and hidden dialog patterns analyzing discussion activities by stakeholders. Several approaches have been proposed in forms of instructions and frameworks such as causal model of Consensus Building Theory (CBT) and short-term intensive workshop in strategy planning phase of Product Lifecycle Management (PLM) process. This paper will analyze a new approach to improve consensus building process by summarizing discussion activity. The proposed method is done by performing data augmentation and topic modeling with the help of background knowledge on discussion activity held within industrial engineering context. Our method produces a complete summarization of discussion activity that consists of topic distribution and distribution similarity between topics. We also found that the usage of data augmentation and background knowledge will improve topic quality. We validate our findings to a professional consultant and conclude that our approach gives an adequate contribution towards summarizing discussion activity that might improve consensus building process.","PeriodicalId":399187,"journal":{"name":"2020 IEEE International Conference on Smart Internet of Things (SmartIoT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114110787","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