2022 IEEE International Smart Cities Conference (ISC2)最新文献_第8页

Technologies enabling evolution of Integrated Local Energy Communities 促进当地综合能源社区发展的技术

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922568

A. Morch, M. Somma, C. Papadimitriou, H. Sæle, V. Palladino, J. Fraile-Ardanuy, Giuseppe Conti, M. Rossi, G. Comodi

引用次数: 0

Assured System-Level Resilience for Guaranteed Disaster Response 确保系统级弹性，保证灾难响应

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922438

Melkior Ornik, Jean-Baptiste Bouvier

{"title":"Assured System-Level Resilience for Guaranteed Disaster Response","authors":"Melkior Ornik, Jean-Baptiste Bouvier","doi":"10.1109/ISC255366.2022.9922438","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922438","url":null,"abstract":"Resilience of urban infrastructure to sudden, system-wide, potentially catastrophic events is a critical need across domains. The growing connectivity of infrastructure, including its cyber-physical components which can be controlled in real time, offers an attractive path towards rapid adaptation to adverse events and adjustment of system objectives. However, existing work in the field often offers disjoint approaches that respond to particular scenarios. On the other hand, abstract work on control of complex systems focuses on attempting to adapt to the changes in the system dynamics or environment, but without understanding that the system may simply not be able to perform its original task after an adverse event. To address this challenge, this programmatic paper proposes a vision for a new paradigm of infrastructure resilience. Such a framework treats infrastructure across domains through a unified theory of controlled dynamical systems, but remains cognizant of the lack of knowledge about the system following a widespread adverse event and aims to identify the system's fundamental limits. As a result, it will enable the infrastructure operator to assess and assure system performance following an adverse event, even if the exact nature of the event is not yet known. Building off ongoing work on assured resilience of control systems, in this paper we identify promising early results, challenges that motivate the development of resilience theory for infrastructure system, and possible paths forward for the proposed effort.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115351351","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

The Use of Technology by Older Adults in El Paso, Texas during COVID-19: Purposes, Challenges, and Opportunities 2019冠状病毒病期间德克萨斯州埃尔帕索老年人对技术的使用:目的、挑战和机遇

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922423

Ashley S. Bangert, Christian Ruiz, D. Becerra, G. Nunez-Mchiri, Daniel Calvo, O. Mondragon, R. Cheu, N. Villanueva-Rosales

引用次数: 3

Discrete Event Simulation as Decision Tool for Sustainable Development in Smart Cities 离散事件模拟作为智慧城市可持续发展的决策工具

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922350

G. Rotunno, G. L. Zupone, M. P. Fanti, L. Carnimeo

引用次数: 0

Supporting Innovation in Smart Cities through Cascade Funding: the Case of Water Management 通过级联融资支持智慧城市创新:水管理案例

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922322

Margherita Volpe, Iñigo González Rojas, Gabriele Gaffuri, Ramona Marfievici, Edoardo Genova, A. Gheorghe, Jasmin Kniewallner, O. Veledar

{"title":"Supporting Innovation in Smart Cities through Cascade Funding: the Case of Water Management","authors":"Margherita Volpe, Iñigo González Rojas, Gabriele Gaffuri, Ramona Marfievici, Edoardo Genova, A. Gheorghe, Jasmin Kniewallner, O. Veledar","doi":"10.1109/ISC255366.2022.9922322","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922322","url":null,"abstract":"Despite witnessing an infinitely long list of large infrastructure projects dragging on for longer than expected, bursting the original budget, and negatively impacting stakeholders, there is no common fast-acting cure for the issue. The causes of failure are often associated with either human factors or risk management. One of the potential remedies for ensuring success for infrastructure projects of significant social impact relies on building tight collaborations. These call for experimentation with different mechanisms that have the potential to improve project outcomes and maximise end-user benefits. We consider the potential to contribute to the successes of socially impactful infrastructure projects by piecing together a range of smaller less-related projects that are funded, monitored and supported through the mechanism of cascade funding. With the assumption that the product of combined projects is more impactful than the sum of their contributions, we demonstrate a representative example of several successful use cases that, when combined, enhance the digitalization of water utilities and help maximise the impact of complex multi-faceted issues that are often entangled in large projects.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121411412","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

Context-Aware Destination and Time-To-Destination Prediction Using Machine learning 使用机器学习的上下文感知目的地和时间到目的地预测

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922593

Athanasios Tsiligkaridis, Jing Zhang, I. Paschalidis, Hiroshi Taguchi, S. Sakajo, D. Nikovski

{"title":"Context-Aware Destination and Time-To-Destination Prediction Using Machine learning","authors":"Athanasios Tsiligkaridis, Jing Zhang, I. Paschalidis, Hiroshi Taguchi, S. Sakajo, D. Nikovski","doi":"10.1109/ISC255366.2022.9922593","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922593","url":null,"abstract":"The rapid adoption of Internet-connected devices (i.e., smart phones, smart cars, etc.) in today's society has given rise to a massive amount of data that can be harnessed by intelligent systems to learn and model the behavior of people. One useful set of such data is movement data, which can readily be obtained via GPS or motion-detection sensors, and which can be used to create models of user movement. One relevant application task based on this type of data is destination prediction, where movement data are used to form highly customized models that can forecast intended user destinations based on partially observed trajectories. In this work, we present a two-stage predictive model for destination prediction and Time-To-Destination (TTD) estimation using movement trajectories and contextual information. Our two-stage approach uses a Transformer-based architecture to predict an intended destination and a regression model to estimate how many steps must be traversed before a destination is reached. We showcase experimental results on various trajectory datasets and show that our proposed approach is able to yield significant destination prediction improvements over previous state-of-the-art methods and can also produce accurate TTD estimates.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126154014","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

Methodology for the development of a scalable module based on a Smart Campus approach to transform a traditional library into a smart library through Indicators and planning of projects 基于智能校园的可扩展模块的开发方法，通过指标和项目规划将传统图书馆转变为智能图书馆

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922077

Flores Tinoco, Moisés Ariste, Aspilcueta Narvaez, Alvaro Martín, Rojas Povis, Carlos Enrique, Rojas Garcia, Piero Sebastian, Zarate Torres, Dennis Joel

{"title":"Methodology for the development of a scalable module based on a Smart Campus approach to transform a traditional library into a smart library through Indicators and planning of projects","authors":"Flores Tinoco, Moisés Ariste, Aspilcueta Narvaez, Alvaro Martín, Rojas Povis, Carlos Enrique, Rojas Garcia, Piero Sebastian, Zarate Torres, Dennis Joel","doi":"10.1109/ISC255366.2022.9922077","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922077","url":null,"abstract":"This research responds to the necessity to understand the most efficient way to produce a successful transition from a traditional university campus to a smart campus. The methodology proposed was based on a Smart Campus approach and it was applied at the FIEE UNI Library (Library of the Faculty of Electrical and Electronic Engineering of the National University of Engineering), in order to improve their services, by focusing on increasing the attention-span and well-being of the students. The result of applying this methodology is a module that contains the projects that should be prioritized for the transformation of the traditional campus into an intelligent campus; as well as the necessary indicators and variables to measure, monitor and evaluate the impact and performance of these projects. The procedure carried out is the following: after a preliminary inspection a structure is defined in order to classify the problems and the projects in a better way. Next, a methodology for the identification and prioritization of the problems is defined based on a weighing methodology where researchers define criteria and depending on the impact each problem has a score. After creating a list of problems, solutions are proposed and prioritized, in a similar way as the problems were prioritized, taking into account some criteria, such as the cost of implementation, the time of implementation, etc. Lastly, high impact and easy to implement projects based on a weighing methodology were proposed for the transformation of the library into a Smart Library following different scenarios.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128725712","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

Inclusive Digital Transformation in higher education during COVID-19 pandemic: i-UH2C use case 2019冠状病毒病大流行期间高等教育包容性数字化转型:i-UH2C用例

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922339

A. Hayar, Mohammed Khalil, Elm. Kheddioui, M. Aadil, Ghizlane Diab, Mohamed Hattabi

引用次数: 0

Deploying Man-In-the-Middle Attack on IoT Devices Connected to Long Range Wide Area Networks (LoRaWAN) 在连接到远程广域网(LoRaWAN)的物联网设备上部署中间人攻击

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922377

Alessandra Alvarez Olazabal, Jasmeet Kaur, Abel Yeboah-Ofori

{"title":"Deploying Man-In-the-Middle Attack on IoT Devices Connected to Long Range Wide Area Networks (LoRaWAN)","authors":"Alessandra Alvarez Olazabal, Jasmeet Kaur, Abel Yeboah-Ofori","doi":"10.1109/ISC255366.2022.9922377","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922377","url":null,"abstract":"Advancements in research and innovation on Smart IoT technology have provided quality of life to physical and visually impaired users. However, deploying Man-In-the-Middle (MITM) attacks on IoT devices that use Long Range Wide Area Networks (LoRaWAN) has increased exponentially due to the high user demand and increased access to the internet. As a result, there is a high probability of user data being exploited, especially on visually impaired user IoT devices, by penetrating the network devices leading to cyberattacks such as remote access, extortion, sabotage, and loss of internet access. This paper explores the methods used by threat actors to deploy MITM attacks on IoT devices that use LoRaWAN to detect vulnerabilities, understand attack patterns and assist in understanding human factors in cyber security. The contribution of this paper is threefold: First, we review the existing attacks on IoT devices and their impact on visually impaired users. Secondly, we implement a MITM attack using an open-source tool to exploit the LoRaWAN to determine the vulnerabilities. Finally, we recommend a control mechanism to improve security. The results show that the MITM attack can be replicated on devices, demonstrating the importance of creating more robust security to prevent information or identity theft without the user's permission.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121777201","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

A Decision Support System for Cyber Physical Systems under Disruptive Events: Smart Building Application 破坏性事件下网络物理系统的决策支持系统:智能建筑应用

2022 IEEE International Smart Cities Conference (ISC2) Pub Date : 2022-09-26 DOI: 10.1109/ISC255366.2022.9922493

Mostafa Zaman, R. Eini, Nasibeh Zohrabi, S. Abdelwahed

{"title":"A Decision Support System for Cyber Physical Systems under Disruptive Events: Smart Building Application","authors":"Mostafa Zaman, R. Eini, Nasibeh Zohrabi, S. Abdelwahed","doi":"10.1109/ISC255366.2022.9922493","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922493","url":null,"abstract":"Cyber-physical systems (CPS) are highly vulnerable to disruptions and disturbances during decision-making processes. An important challenge in CPS management is to anticipate, absorb, adapt to, and rapidly recover from unexpected critical situations. This study proposes a decision support system (DSS) for CPS management and planning under uncertainty. The DSS architecture is developed based on Markov Decision Process (MDP) and it reinforces the model-based CPS management system in making optimal decisions by taking into account a wide range of disruptive scenarios existing in CPS operation. In the event of a disruption, an initial decision is chosen randomly, and then it is optimized gradually over time by transiting to new states and finding decisions with higher reward values. Two factors are considered for determining immediate rewards in the support system: execution time and cost of the decision. The proposed decision support system is applied to tackle disruptions (including fire hazard, power outage, pipe burst, appliance malfunction, natural disaster, and compromised network) in a smart building case study. In contrast to the existing decision support systems presented in the literature, the proposed architecture is provided in a more integrated and generalizable manner that can be applied to various smart building decision-making applications during disruptive/critical events.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114914432","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