2020 IEEE International Smart Cities Conference (ISC2)最新文献_第4页

Discovering EV Recharging Patterns through an Automated Analytical Workflow 通过自动分析工作流发现电动汽车充电模式

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239052

René Richard, Hung Cao, M. Wachowicz

{"title":"Discovering EV Recharging Patterns through an Automated Analytical Workflow","authors":"René Richard, Hung Cao, M. Wachowicz","doi":"10.1109/ISC251055.2020.9239052","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239052","url":null,"abstract":"The vision for smart cities is to provide a core infrastructure that enables a good quality of life for their citizens and the sustainable management of natural resources. Towards this vision, supporting the adoption of Electric Vehicles (EV) contributes to improved air quality, sustainable mobility, and utility distribution. Fostering EV adoption contends with concerns typically centered on vehicle range and costs. An understanding of EV charging patterns is therefore crucial for optimizing charging infrastructure placement and managing operational costs. Towards this end, this paper proposes an automated analytical workflow to gain insight from a large volume of real operational data from EV charging stations. The research goal is to establish a mechanism to descriptively analyse the EV charging data and to thoroughly diagnose whether low-demand charging station groupings can effectively be identified using spatio-temporal features and hierarchical clustering. Preliminary results suggest agglomerative clustering is effective at grouping similar charging stations together when considering spatial and temporal features of recharge events.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"13 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":"127212733","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

The role of Urban Control and Command Centers in the face of COVID-19: the case of COR in Rio de Janeiro, Brazil 面对COVID-19，城市控制和指挥中心的作用:以巴西里约热内卢的COR为例

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239068

Larissa Paredes Muse, P. Martins, Alexandre Hojda, P. Abreu, Priscila Couto de Almeida

{"title":"The role of Urban Control and Command Centers in the face of COVID-19: the case of COR in Rio de Janeiro, Brazil","authors":"Larissa Paredes Muse, P. Martins, Alexandre Hojda, P. Abreu, Priscila Couto de Almeida","doi":"10.1109/ISC251055.2020.9239068","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239068","url":null,"abstract":"The COVID-19 pandemic imposes a whole new way for cities to deal with crises. More than ever, in order to protect the citizens, cities need to rely on data to address such a public health emergency. In this sense, the Urban Control and Command Centers (CCCs) are an important governance organism to help the monitoring and the management of the complex dynamic of contemporary cities. These centralized and integrated management structures in the form of a governmental agency can aid the decision makers into a more coordinated, systemic, strategic, and data-driven intervention. In Rio de Janeiro’s case, the city Urban CCC - called Rio de Janeiro Operations Center (COR in the Portuguese abbreviation) - is mostly designed to monitor the daily routine of the different systems and infrastructures that compose the city’s dynamic, to plan and integrate operations for big events like Rio 2016 Olympic Games and to manage emergency situations. With the monitoring center, Rio is able to identify abnormalities and make sure that any interference in the city can be resolved in a timely manner, in order to ensure that the city comes back to normal in the face of a disruption and runs as smoothly as possible. Regarding the context of the pandemic of the COVID-19, Urban CCCs can also be an important tool to manage health emergencies. In this paper, the case of the COR is presented, showing how this Brazilian city is using its Urban CCC to monitor and assist the authorities with real time data intelligence to respond to this unprecedented emergency.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"14 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":"125605308","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

Attention-Enabled Network-level Traffic Speed Prediction 注意使能的网络级流量速度预测

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239036

Shuyi Yin, Jiahui Wang, Zhiyong Cui, Yinhai Wang

{"title":"Attention-Enabled Network-level Traffic Speed Prediction","authors":"Shuyi Yin, Jiahui Wang, Zhiyong Cui, Yinhai Wang","doi":"10.1109/ISC251055.2020.9239036","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239036","url":null,"abstract":"Traffic forecasting is critical for the planning and monitoring of modern urban systems. Time-series and junior machine learning methods are either point-based and rely on unrealistic assumptions, or fail to capture the dynamics of the complex traffic network (e.g., non-Euclidean and spatiotemporal). New models need (1) to represent efficiently the spatial dependency of transportation network, and (2) to model nonlinear temporal dynamics simultaneously. They are also expected to forecast for multiple time steps, i.e., long-term. This study investigates a highway sensor network as a graph. Specifically, the level of road network details required for graph deep learning is first discussed. Secondly, this paper proposes a new graph deep learning model enabling attention mechanism to predict speeds in the network. It captures spatial dependencies with adjacency matrices and graph convolutions, and learns temporal information with a recurrent neural network (RNN) structure. Lastly, performance of the proposed model is compared with literature on a real-world dataset. Experiments show that physical roadway linkages are sufficient for the representation, and the proposed attention-enabled model performs better in the prediction task.","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":"126233062","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

BIT: A Blockchain Integrated Time Banking System for Community Exchange Economy BIT:面向社区交换经济的区块链集成时间银行系统

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239045

Ronghua Xu, Zhe Zhai, Yu Chen, J. Lum

{"title":"BIT: A Blockchain Integrated Time Banking System for Community Exchange Economy","authors":"Ronghua Xu, Zhe Zhai, Yu Chen, J. Lum","doi":"10.1109/ISC251055.2020.9239045","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239045","url":null,"abstract":"Advancements in Artificial Intelligence (AI) and Big Data technologies are reshaping the global economy. The community currency network is receiving more attention through enhancing social ties within a community. As the most popular type of community currency, Time Banking (TB) is a generalized community exchange economy, which uses the time to evaluate each participant’s contributions on the same scale rather than any equivalence with the official national currency. TB is a noble idea with the potential to improve the quality of life through prosocial, reciprocally beneficial activities among community members. However, it also brings new concerns about security and trust issues. Inspired by blockchain and smart contract, this paper introduces a Blockchain Integrated Timebanking (BIT) system to secure a decentralized community exchange economy. In BIT system, service providers and recipients can securely exchange effort through a self-executing smart contract without relying on a third-party trust authority. The blockchain network ensures immutability, auditability, and traceability of all data and service transactions recorded on the distributed ledger. A proof-of-concept prototype was implemented and tested on a private Ethereum network. The experimental results verify the feasibility of the proposed BIT to provide decentralized community service exchanges with limited computation overhead and network latency.","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":"127827440","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

Application of Unmanned Aerial Vehicles in Smart Cities using Computer Vision Techniques 基于计算机视觉技术的无人机在智慧城市中的应用

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239054

Mohammad Shokrolah Shirazi, A. Patooghy, R. Shisheie, M. M. Haque

引用次数: 9

Modelling Smart Cities Through Socio-Technical Systems 通过社会技术系统建模智慧城市

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/isc251055.2020.9239042

Maria Eduarda Santos Cunha, R. Rossetti, Pedro F. Campos

{"title":"Modelling Smart Cities Through Socio-Technical Systems","authors":"Maria Eduarda Santos Cunha, R. Rossetti, Pedro F. Campos","doi":"10.1109/isc251055.2020.9239042","DOIUrl":"https://doi.org/10.1109/isc251055.2020.9239042","url":null,"abstract":"The COVID-19 outbreak has proven to be a challenge for most communities, requiring them to adapt to a newfound reality. Cities need now to accommodate the circulation of their populations in a safe manner, dealing with economic repercussions, and avoiding to oversaturate the countries’ healthcare facilities. So far, the latter has happened with dramatic consequences in terms of loss of human lives. In this context, we propose a social simulation meta-model suitable to represent the complex socio-technical system of a campaign hospital, created to support existing healthcare facilities as a response to the demands created by the coronavirus pandemic. With this model we intend to support the analysis of social coordination policies towards the improvement of a given set of characteristics of the system. By considering both technical and social dimensions, we expect to gain insights into how certain aspects such as the collaborativeness of patients or the nature of staff might affect the healing speed of patients and, similarly, the efficiency of the campaign hospital. Ultimately, all emergent behaviour should provide useful insights allowing for the identification of key social practices influencing its performance.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"51 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":"130577541","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

Internet of Things (IoT) Privacy–Protected, Fall-Detection System for the Elderly Using the Radar Sensors and Deep Learning 使用雷达传感器和深度学习的物联网(IoT)隐私保护，老年人跌倒检测系统

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239074

E. Chuma, L. L. Roger, Gabriel Gomes de Oliveira, Y. Iano, Diego Pajuelo

{"title":"Internet of Things (IoT) Privacy–Protected, Fall-Detection System for the Elderly Using the Radar Sensors and Deep Learning","authors":"E. Chuma, L. L. Roger, Gabriel Gomes de Oliveira, Y. Iano, Diego Pajuelo","doi":"10.1109/ISC251055.2020.9239074","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239074","url":null,"abstract":"The increase in the number world population of elderly citizens, as well as those who live in solitude, needs an immediate solution with an intelligent monitoring system at home. In this work, we present an intelligent fall-detection system based on IoT to monitor the elderly with your privacy-protected. Currently, fall detection has attracted significant research attention and deep learning has shown promising performance in this task using conventional cameras. However, these traditional methods pose a risk of the leakage of personal privacy. This work proposes a novel fall-detection system that uses a continuous-wave Doppler radar sensor to acquisition the elderly movements and sends this information thought the internet to a server with deep learning using a convolutional neural network (CNN) that identifies the fall. The radar sensor is inexpensive, completely camera-free, and collects no personally identifiable information, thereby allaying privacy concerns. Additionally, unlike traditional cameras, it has environmental robustness and dark/light-independence. The proposed system obtained 99.9% accuracy in detecting falls by using the GoogleNet convolutional neural network. The proposed system is also capable of detecting other types of movements in addition to those tested, including the detection of diseases such as COVID-19 through the cough movement.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"20 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":"132457662","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: 10

iFeliz: An Approach to Control Stress in the Midst of the Global Pandemic and Beyond for Smart Cities using the IoMT iFeliz:在全球大流行中控制压力的方法，以及使用物联网的智慧城市

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239028

Laavanya Rachakonda, S. Mohanty, E. Kougianos

{"title":"iFeliz: An Approach to Control Stress in the Midst of the Global Pandemic and Beyond for Smart Cities using the IoMT","authors":"Laavanya Rachakonda, S. Mohanty, E. Kougianos","doi":"10.1109/ISC251055.2020.9239028","DOIUrl":"https://doi.org/10.1109/ISC251055.2020.9239028","url":null,"abstract":"Being able to live happily and peacefully should not be as difficult as it is in today’s world. There is always so much happening around with the global pandemic and other current events that every human being is affected one way or another. Having emotions and reacting to events is good as long as there is a healthy stress response. When a person does not know how to cope with stress, technology should be able to provide a solution. Often, people don’t realize that they are under stress until the very last moment. In order to avoid these mishaps, iFeliz a stress control system is proposed. iFeliz proposes different approaches to address on-spot or live sudden fluctuations in stress: a day-end method to allow the user understand the changes in daily physiological fluctuations, and weekly and monthly approaches to analyze the variations in stress for a certain period to predict any further health issues. Post traumatic disorder is a significant issue and life after COVID-19 will not be the same. Keeping this in mind, iFeliz is proposed to improve the smart healthcare domain thereby improving the smartness in smart cities.","PeriodicalId":201808,"journal":{"name":"2020 IEEE International Smart Cities Conference (ISC2)","volume":"20 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":"130779916","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

Repurposing existing traffic data sources for COVID-19 crisis management 重新利用现有交通数据源进行COVID-19危机管理

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239038

Casper Van Gheluwe, Angel J. Lopez, I. Šemanjski, S. Gautama

引用次数: 1

LODUS: A Multi-Level Framework for Simulating Environment and Population - A Contagion Experiment on a Pandemic World LODUS:模拟环境和人口的多层次框架——流行病世界的传染实验

2020 IEEE International Smart Cities Conference (ISC2) Pub Date : 2020-09-28 DOI: 10.1109/ISC251055.2020.9239083

Gabriel Fonseca Silva, V. Cassol, A. Neto, A. Antonitsch, D. Schaffer, S. Musse, R. Linn

引用次数: 2