2020 IEEE International Smart Cities Conference (ISC2)最新文献_第9页

Large-Scale Distributed Linkage of Records Containing Spatio-Temporal Information 包含时空信息的记录的大规模分布式链接

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/isc251055.2020.9239003

Dimitrios Karapiperis, A. Gkoulalas-Divanis, Vassilios S. Verykios

引用次数: 0

Assessing the level of acceptance of a crowdsourcing solution to monitor infectious diseases propagation 评估监测传染病传播的众包解决方案的接受程度

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239069

Matheus M. Cruz, R. S. Oliveira, Augusto P. V. Beltrão, Paulo H. Q. Lopes, J. V. Filho, D. Trevisan, F. Bernardini

{"title":"Assessing the level of acceptance of a crowdsourcing solution to monitor infectious diseases propagation","authors":"Matheus M. Cruz, R. S. Oliveira, Augusto P. V. Beltrão, Paulo H. Q. Lopes, J. V. Filho, D. Trevisan, F. Bernardini","doi":"10.1109/ISC251055.2020.9239069","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239069","url":null,"abstract":"This work presents a study for assessing the technology acceptance of a contact tracing app, also proposed by us, which is a hybrid crowdsensing application (opportunistic and participatory). The goal of the app is that users are notified if they were in contact with others infected. It also allows creating a heat map identifying streets, squares, and commercial locations to which contaminated users were, allowing more assertive hygiene actions and eliminating infectious disease outbreaks. Our methodology aimed on finding whether people would be willing to share their location, as well as their health issues related to COVID-19. It is composed by a survey for verifying the interest of the proposed application; the prototype of the application; and the use of Technology Acceptance Model (TAM). We can see that the vast majority of respondents to the first survey were interested in using a contact tracking application, even though they need to share their location and report when they become infected. In addition, the proposed RISCOVID application proved to be accepted for use by participants in the second survey.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972522","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: 12

Broken Power Strand Detection with Aerial Images: A Machine Learning based Approach 航空图像断链检测:一种基于机器学习的方法

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239095

Yifeng Pan, F. Liu, Ji Yang, Wei Zhang, Yong Li, Chun Sing Lai, Xiaomei Wu, L. Lai, Binzhuo Hong

{"title":"Broken Power Strand Detection with Aerial Images: A Machine Learning based Approach","authors":"Yifeng Pan, F. Liu, Ji Yang, Wei Zhang, Yong Li, Chun Sing Lai, Xiaomei Wu, L. Lai, Binzhuo Hong","doi":"10.1109/ISC251055.2020.9239095","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239095","url":null,"abstract":"Power lines are essential for electricity transmission between power plant and consumption point. Periodical inspection and assessment of the power line damages are critical to ensure the uninterrupted power delivery and grid stability. With the recent development of the unmanned aerial vehicles technology, the aerial images of power lines are adopted for broken strand detection. A huge challenge is the lack of the fatal but rare broken strand images. Thus, an oversampling strategy is proposed to increase the data diversity and reduce the data imbalance between the normal and broken lines. In addition, image background noises are filtered through image transformation to facilitate the anomaly detection. After that, five popular machine learning models are trained on four representative views of the aerial images. The experiments results show that the models can achieve a remarkable performance when they are trained and specialized for images from the same view. Second, the model can be generalized from one view to the other views sharing similar features, where the neural network solutions show remarkable knowledge transfer capability. Third, the impact of data size is discussed. More data does help promote the detection accuracy, but the performance gain diminishes in data size.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115980431","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: 4

Personalized Road Networks Routing with Road Safety Consideration: A Case Study in Manchester 考虑道路安全的个性化道路网络路由:曼彻斯特的案例研究

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239085

S. Hayes, Shen Wang, S. Djahel

引用次数: 4

Management of Real-Time Data for a Smart Flooding Alert System 智能洪水预警系统的实时数据管理

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239092

V. M. García, Ruth P. Granados, M. E. Medina, Luis Ochoa, O. Mondragon, R. Cheu, N. Villanueva-Rosales, Víctor M. Larios-Rosillo

{"title":"Management of Real-Time Data for a Smart Flooding Alert System","authors":"V. M. García, Ruth P. Granados, M. E. Medina, Luis Ochoa, O. Mondragon, R. Cheu, N. Villanueva-Rosales, Víctor M. Larios-Rosillo","doi":"10.1109/ISC251055.2020.9239092","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239092","url":null,"abstract":"Information and technology are key elements in converting cities to Smart Cities. The ability to provide real-time information to residents for supporting their decision making is a primary characteristic of Smart Cities. Some of the challenges of providing real-time data are the availability of such data and the platforms to share it with residents in a meaningful way. In this work, an interdisciplinary, international team of researchers and students from the University of Guadalajara and the University of Texas at El Paso share their progress towards managing (i.e., collecting, processing, and sharing) real-time data during flooding events through the Smart Flooding Alert System (Smart FAS). Flooding events impact the day-to-day activities of city residents such as their mobility and affect the city’s infrastructure. The Smart FAS proposes the use of mobile devices and a wireless sensor network infrastructure for the collection of crowdsourced and sensor-generated data, respectively. The Smart FAS includes algorithms to calculate a metric that can be implemented for generating flood mobility routes that avoid flooded streets. Smart FAS uses metrics and mobile technologies for providing real-time information in a meaningful way to users. The proposed design and features of the Smart FAS proof-of-concept are evaluated using Smart Cities characteristics. The Smart FAS proof-of-concept can inform the development of further information and communication technologies (ICT) and Smart Cities platforms aiming to collect and share real-time data to city residents and stakeholders to support their decision-making process.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129060003","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

Experimental Test Bed to Enable Realistic Evaluations for Direct Transfer Trip Relaying via Private Wireless LTE Communications 通过专用无线LTE通信实现直接传输行程中继的现实评估的实验测试平台

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239080

Emma Raszmann, K. Prabakar, B. Mather, Jim Li

{"title":"Experimental Test Bed to Enable Realistic Evaluations for Direct Transfer Trip Relaying via Private Wireless LTE Communications","authors":"Emma Raszmann, K. Prabakar, B. Mather, Jim Li","doi":"10.1109/ISC251055.2020.9239080","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239080","url":null,"abstract":"Increasing penetration levels of inverter-based distributed energy resources (DERs) in distribution systems are creating challenges in system operation. Currently, wired or proprietary wireless communications are used by advanced distribution management systems (ADMS) to detect the state of the system and control the DERs for optimal operation. Wireless communications are an alternative solution that can enable connectivity between the dispersed assets used in distribution system applications. This paper demonstrates an experimental test bed to enable the realistic evaluation of communications system characteristics for direct transfer trip (DTT) relaying of a photovoltaic inverter system using a private 900-MHz spectrum wireless LTE network. Private LTE network communications can be deployed to many remote DERs and other grid-edge devices to prevent costly infrastructure upgrades across distribution systems. In addition, this paper provides a framework for evaluating the impact of signal strength and network traffic in communications systems. The results shown develop a better understanding of the best practices for using LTE communications systems across multiple utility applications, such as protective relaying, voltage regulation, and supervisory control and data acquisition system messages.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128393518","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

How Smart and Green? A Simulation Model of Demand Cost Perception in the Electricity Market 如何聪明和环保?电力市场需求成本感知的仿真模型

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239018

Ciro Russo, Tobias Grossauer, Emanuele Nardone, Zafeiris Kokkinogenis, R. Rossetti

引用次数: 0

Multimodal Autonomous Last-Mile Delivery System Design and Application 多式联运自主最后一英里配送系统设计与应用

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-03 DOI: 10.1109/ISC251055.2020.9239082

Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, B. Farooq

{"title":"Multimodal Autonomous Last-Mile Delivery System Design and Application","authors":"Farah Samouh, Veronica Gluza, Shadi Djavadian, Seyed Mehdi Meshkani, B. Farooq","doi":"10.1109/ISC251055.2020.9239082","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239082","url":null,"abstract":"With the rapid increase in congestion, alternative solutions are needed to efficiently use the capacity of our existing networks. This paper focuses on exploring the emerging autonomous technologies for on-demand food delivery in congested urban cities. Three different last mile food delivery systems are proposed in this study employing aerial and ground autonomous vehicles technologies. The three proposed systems are: robot delivery system, drone delivery system and a hybrid delivery system. In the hybrid system the concept of hub-and-spoke network is explored in order to consolidate orders and reach more destinations in less time. To investigate the performance of the three proposed delivery systems, they are applied to the city of Mississauga network, in an in-house agent-based simulation in MATLAB. 18 Scenarios are tested differing in terms of demand and fleet size. The results show that the hybrid robot-drone delivery system performs the best with a fleet side of 25 robots and 15 drones and with an average preparation and delivery time less than the individual robot and drone system by 48 % and 42% respectively.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130662824","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

Balancing Taxi Distribution in A City-Scale Dynamic Ridesharing Service: A Hybrid Solution Based on Demand Learning 城市规模动态拼车服务中出租车均衡分配:基于需求学习的混合解决方案

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-07-27 DOI: 10.1109/ISC251055.2020.9239033

Jiyao Li, V. Allan

{"title":"Balancing Taxi Distribution in A City-Scale Dynamic Ridesharing Service: A Hybrid Solution Based on Demand Learning","authors":"Jiyao Li, V. Allan","doi":"10.1109/ISC251055.2020.9239033","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239033","url":null,"abstract":"In this paper, we study the challenging problem of how to balance taxi distribution across a city in a dynamic ridesharing service. First, we introduce the architecture of the dynamic ridesharing system and formally define the performance metrics indicating the efficiency of the system. Then, we propose a hybrid solution involving a series of algorithms: the Correlated Pooling collects correlated rider requests, the Adjacency Ride-Matching based on Demand Learning assigns taxis to riders and balances taxi distribution locally, the Greedy Idle Movement aims to direct taxis without a current assignment to the areas with riders in need of service. In the experiment, we apply city-scale data sets from the city of Chicago and complete a case study analyzing the threshold of correlated rider requests and the average online running time of each algorithm. We also compare our hybrid solution with multiple other methods. The results of our experiment show that our hybrid solution improves customer serving rate without increasing the number of taxis in operation, allows both drivers to earn more and riders to save more per trip, and all with a small increase in calling and extra trip time.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126037746","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: 4

Forecasting for a data-driven policy using time series methods in handling COVID-19 pandemic in Jakarta 利用时间序列方法预测雅加达处理COVID-19大流行的数据驱动政策

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-07-26 DOI: 10.1109/ISC251055.2020.9239066

Andi Sulasikin, Y. Nugraha, J. Kanggrawan, A. Suherman

{"title":"Forecasting for a data-driven policy using time series methods in handling COVID-19 pandemic in Jakarta","authors":"Andi Sulasikin, Y. Nugraha, J. Kanggrawan, A. Suherman","doi":"10.1109/ISC251055.2020.9239066","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239066","url":null,"abstract":"The coronavirus diseases 2019 or COVID-19 has spread and infected millions of people around the world. The ongoing COVID-19 pandemic has taken an unprecedented toll on residents, business, commerce, and activity in many cities, including Jakarta, where there have been more than twelve thousand confirmed cases as of July 2020. The details of how COVID-19 spreads in Jakarta are still complicated and not completely understood because the number of infections is large and continues to climb. This paper conducts a quantitative analysis of the COVID-19 pandemic spreading using Jakarta as a case study for the evaluation and decision-making process. In this paper, time series models such as the Holt's exponential smoothing and Auto-Regressive Integrated Moving Average (ARIMA) were used to forecast the number of COVID-19 cases in Jakarta between March 1 and July 6. Recently, data exploration and comparative analysis of time series models have been conducted to determine the optimal models for forecasting COVID-19 confirmed cases. The result shows that ARIMA has the highest R-Squared (R2), and lowest (Mean Squared Error) MSE and Root Mean Squared Error (RMSE) is the best model to forecast the upcoming number of infected cases of COVID-19 in Jakarta. Such a model shows promising results and fitting predictions in supporting data-driven policy in public health and epidemiology.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133849141","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: 15