Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City最新文献_第5页

Improvement of collision detection using Time Elastic Band algorithm 改进的时间弹性带碰撞检测算法

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512592

Wanyu Dai, Xianghua Ma

引用次数: 1

Exploring and Analyzing Facebook as crowdsourcing platform for traffic updates using Selenium Support Vector Machine and Non-parametric LDA 使用Selenium支持向量机和非参数LDA对Facebook作为流量更新的众包平台进行探索和分析

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512617

Leodivino Lawas, Ken Gorro, Elmo Ranolo, A. Ilano

{"title":"Exploring and Analyzing Facebook as crowdsourcing platform for traffic updates using Selenium Support Vector Machine and Non-parametric LDA","authors":"Leodivino Lawas, Ken Gorro, Elmo Ranolo, A. Ilano","doi":"10.1145/3512576.3512617","DOIUrl":"https://doi.org/10.1145/3512576.3512617","url":null,"abstract":"Traffic is a major problem in the Philippines. Facebook is one of the social media platforms that is commonly used by Filipinos. Machine learning is a field of computer science that allows computers to perform tasks like human beings. In this study, the proponents explored Facebook as a source of traffic updates and as a source of traffic information. In this paper, as a partial result, a machine learning model was created to classify Facebook posts as related to traffic. To gather Facebook posts, a total of 1000 respondents were asked for consent to scrape their public post using the username link and selenium. The Support vector machine model was trained with 3000 Facebook posts. The SVM model was only trained to 3 classes {Road accident, Road activities and Other}. The SVM model was evaluated using 10-cross fold validation. The result shows that the accuracy is 76% and the recall is 69%. To analyze the narrative of the corpus, the Hierarchical Dirichlet Process model was created with the log-likelihood of -4.06 with 10 topic models. The following are the narratives of the corpus: {Traffic Management, Immediate Emergency Response, Seeking help, Busses causes majority of accidents.}","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131598657","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

Research on signal scheme optimization and transportation efficiency based on road transportation 基于道路运输的信号方案优化与运输效率研究

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512651

Yi Lu, Tangyi Guo

引用次数: 0

A Geometric Feature Based Traversable Area Extraction and Evaluation Method for 3D Point Clouds 基于几何特征的三维点云可遍历区域提取与评价方法

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512582

Yaobin Li, Ruibin Guo, Hui Zhang

引用次数: 0

Energy-Efficient Resource Allocation for Relay-Assisted Backscatter Communication Systems 中继辅助后向散射通信系统的节能资源分配

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512633

Moatssim Saif, Zheng-qiang Wang, Assadig Abdelrhman Sajo, Xiaoyu Wan

引用次数: 1

A study on smart city research activity using bibliometric and natural language processing methods 基于文献计量学和自然语言处理方法的智慧城市研究活动研究

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512638

Jing Wang, Mo Wang, Yulun Song

{"title":"A study on smart city research activity using bibliometric and natural language processing methods","authors":"Jing Wang, Mo Wang, Yulun Song","doi":"10.1145/3512576.3512638","DOIUrl":"https://doi.org/10.1145/3512576.3512638","url":null,"abstract":"Smart cities have become a new urban development paradigm and draw much interest from the research community and society. Based on academic publications of smart city-related research, this study employs bibliometrics, natural language machine learning methods to analyze 10,000 papers indexed by Web of Science from 2009 to 2020. Bibliometrics results show that: (1) A total of 114 countries or regions worldwide have participated in smart city research, and China is the country with the highest amount of participation in the field of smart cities. (2) Smart city research has gone through three stages: the initial stage (2009-2012), the in-depth advancement stage (2013-2016), and the leap-up stage (2017-2020). Researchers paid more attention to urban attractiveness indicators such as sustainability in the early stage. In the later period, most of the research topics were clustered on improving the overall function of the city. Latent Dirichlet Allocation (LDA) topic model results revealed that research topics could be categorized into five aspects: policy research on the status quo of smart cities, data analysis and application, infrastructure construction, urban governance, and network security. Current research on smart city technologies mainly focuses on theoretical systems, technologies, and application fields. There is a lack of in-depth research and exploration in long-term construction and operation mechanisms. This research provides insight into the research status of smart city technologies and helps researchers decide on future study direction.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129336288","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

Research on transmission line defect identification method based on computer vision 基于计算机视觉的输电线路缺陷识别方法研究

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512584

Mengxuan Li, Xiao Ma, Zhi Yang, Bin Zhao, Jingshan Han, Bin Liu

引用次数: 0

Combining Local and Global Features for Quality Assessment of Stitched Images in Virtual Reality 结合局部和全局特征的虚拟现实拼接图像质量评价

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512578

Zigeng Liu, Zhou Mo

{"title":"Combining Local and Global Features for Quality Assessment of Stitched Images in Virtual Reality","authors":"Zigeng Liu, Zhou Mo","doi":"10.1145/3512576.3512578","DOIUrl":"https://doi.org/10.1145/3512576.3512578","url":null,"abstract":"High-quality stitched images, namely wide-angle images stitched from small viewpoint images using stitching algorithm, are a key component for immersive VR experience. There is no stitching algorithm that can achieve perfect stitching for all visual scenes. To design better stitching algorithms, an accurate quality metric for stitched panoramic images is desired. In this paper, we propose a new quality assessment metric that focuses on both global and local distortions in stitched images. Specifically, we have performed the positioning of the distorted area and divided the panoramic image into distorted area and non-distorted area. For local quality, we separately extract the quality features of the distorted and non-distorted regions of the stitched image, and then calculate the distance between the features as a local quality metric of the stitched image. For global quality, we use general image quality evaluation features. The experimental results show that the combination of local and global features delivers significant performance improvement compared to the traditional image quality metrics.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116803920","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

Application of 5G Communication in Active Distribution Network Control and Protection for Smart City 5G通信在智慧城市主动配电网控制与保护中的应用

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512629

Shengwei Tang, Bochuan Gu, Xiangqian Ye, Shiyong Dai, Fei Liu, Qijin Zhou

引用次数: 0

After Everything is Connected: A Client Certificate-Oriented Perspective of IoT Device Security Analysis 万物互联后:面向客户端证书的物联网设备安全分析视角

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI: 10.1145/3512576.3512644

Wei Xia, Qiyu Zhang, Xin He, Wei Wang, Zhen Li, G. Xiong

{"title":"After Everything is Connected: A Client Certificate-Oriented Perspective of IoT Device Security Analysis","authors":"Wei Xia, Qiyu Zhang, Xin He, Wei Wang, Zhen Li, G. Xiong","doi":"10.1145/3512576.3512644","DOIUrl":"https://doi.org/10.1145/3512576.3512644","url":null,"abstract":"In the IoT era, more and more devices of different types and functions are connected to the network. However, smart devices are bringing about increasingly serious security problems. Although some giants or well-known equipment manufacturers have introduced the transport layer security protocol as a secure transmission mechanism, they are still missing tens of thousands in specific practices. In this paper, we provide a client certificates-oriented perspective on the security analysis of IoT devices, which proves that although the TLS protocol is used, it is still not enough to ensure security. We utilized our self-developed passive traffic-based client certificate collection tool to conduct extensive TLS certificate collection on the ISP-level network CSTNET. We use the keywords already collected to filter out certificates related to IoT smart devices from these certificates, and analyze the security issues that exist. We designed an active crawling subsystem, put the keywords that identify the manufacturer in the certificate into the Internet to crawl its homepage, and use the characteristics of page elements to dig out unknown IoT smart devices, and conduct research on the issue of its certificate. It turns out that more needs to be done to meet the advanced security requirements in practice and deployment.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127280650","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