2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)最新文献_第2页

Human Activity Recognition based on WiFi Signal Using Deep Neural Network 基于WiFi信号的深度神经网络人体活动识别

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/iSCI50694.2020.00012

Ningjie Zhou, Weize Sun, Mingjiong Liang

{"title":"Human Activity Recognition based on WiFi Signal Using Deep Neural Network","authors":"Ningjie Zhou, Weize Sun, Mingjiong Liang","doi":"10.1109/iSCI50694.2020.00012","DOIUrl":"https://doi.org/10.1109/iSCI50694.2020.00012","url":null,"abstract":"Human activity recognition can be applied to various applications, ranging from intelligent security to medical care. Action recognition via WiFi had caught great attention due to its ubiquity, non-occlusion and privacy preservation. Movement of human body can cause fluctuations in the wireless signal reflection, resulting in fluctuation of channel state information (CSI), which is computed from the received WiFi signal containing detailed information of current channel conditions for different sub-carriers and spatial streams, and this can be used to classify human activities. In this paper, we focus on the human activity recognition problem based on the features extracted from CSI data using deep neural network. First, the application of human activity classification as well as data preprocessing techniques are introduced in details, and then a fully connected network is developed as the baseline network model. Furthermore, the weight sharing technique is introduced with the similarity network structure, and a new hybrid loss containing the classification loss and similarity loss is proposed. Experiment results are also included and show that the proposed network can achieve higher classification accuracy than the baseline model.","PeriodicalId":433521,"journal":{"name":"2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133683313","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

Fast Bug Detection Algorithm for Identifying Potential Vulnerabilities in Juliet Test Cases 在朱丽叶测试用例中识别潜在漏洞的快速Bug检测算法

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/iSCI50694.2020.00021

Richard Amankwah, Jinfu Chen, Alfred Adutwum Amponsah, P. Kudjo, Vivienne Ocran, Comfort Ofoley Anang

{"title":"Fast Bug Detection Algorithm for Identifying Potential Vulnerabilities in Juliet Test Cases","authors":"Richard Amankwah, Jinfu Chen, Alfred Adutwum Amponsah, P. Kudjo, Vivienne Ocran, Comfort Ofoley Anang","doi":"10.1109/iSCI50694.2020.00021","DOIUrl":"https://doi.org/10.1109/iSCI50694.2020.00021","url":null,"abstract":"Automated static analysis tools (ASATs) are one of the most widely used and effective ways of detecting bugs in Java code. ASATs helps to improve the security of software by detecting potential violations without executing the application. We have explored the existing automated static analysis techniques detection capabilities and noticed that, they are deficient in terms of processing time and generation of false warnings. Thus, the study proposed a Fast Bug Detection Algorithm (FBDA) to address the aforementioned deficiencies. Furthermore, we compared our results based on the FBDA to the existing automated static analysis tools. The main idea is to reduce the size of the code area to be investigated without compromising on quality and improve the processing time. Additionally, we tested the effectiveness of our framework using a designated subset of the Juliet Test Suite and the results show that our approach achieved a performance gain of 66% and can successfully detect bug patterns than existing static analysis tools. Our experimental analysis further shows that, the percentage of false positive obtained by our framework is 18.5%, which is much less than the percentage of false positive reported by ASATs.","PeriodicalId":433521,"journal":{"name":"2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131872247","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

[Copyright notice] (版权)

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/isci50694.2020.00003

引用次数: 0

Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy 智能交通系统:管理流行病对人民和经济的威胁

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/iSCI50694.2020.00017

Priyank Trivedi, F. Zulkernine

{"title":"Intelligent Transportation System: Managing Pandemic Induced Threats to the People and Economy","authors":"Priyank Trivedi, F. Zulkernine","doi":"10.1109/iSCI50694.2020.00017","DOIUrl":"https://doi.org/10.1109/iSCI50694.2020.00017","url":null,"abstract":"Since the world wars, the world has not seen such a heavy and sustained negative impact on the people and economy, as is being caused by the pandemic COVID-19. Pandemic, like any other big change, is strongly disruptive, challenging authorities all over the world to reimagine services, logistics, people movement, and economic activities. For the national and local governments looking for resources to support traditional and novel solutions to mitigate, contain and control the pandemic's deleterious impact on the people and economy, Smart City's Intelligent Transportation System (SC-ITS) can be an important asset. Integration of the transportation advancements with artificial intelligence and information and communication technologies is interactively and dynamically empowering the ITS of Smart Cities. This integration has ushered in an era of smart city intelligent transportation services that are dynamic, adaptive and can be reconfigured to meet the smart city citizenry's changing needs in an inclusive, safe, greener, and more efficient way. We believe that by adapting and, in some cases repurposing the SC-ITS, the authorities can simultaneously increase the reach, impact, and efficacy of the solutions aimed at restarting economies while balancing both lives and livelihood concerns. This paper builds an understanding of the pandemic and then examines the SC-ITS through its components and related applications before diving deeper into the hood to examine how these components, both now and in the future, can be adapted, reconfigured and repurposed, to address the pandemic induced challenges individually and collectively. Finally, it attempts to put a perspective by evaluating the challenges and opportunities inherent in leveraging the ITS for the deployment.","PeriodicalId":433521,"journal":{"name":"2020 IEEE 8th International Conference on Smart City and Informatization (iSCI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121808868","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

[Title page iii] [标题页iii]

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/isci50694.2020.00002

引用次数: 0

Accessible Driver Announcement in Public Transportation: A Solution based on Speech-to-Text and Display 基于语音转文本和显示的公共交通无障碍驾驶员通知解决方案

2020 IEEE 8th International Conference on Smart City and Informatization (iSCI) Pub Date : 2020-12-01 DOI: 10.1109/iSCI50694.2020.00010

Abhijeet Sapkota, R. Shrestha

引用次数: 0