2018 IEEE International Smart Cities Conference (ISC2)最新文献

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Blockchain-Based Election Infrastructures 基于区块链的选举基础设施
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656988
Rafer Cooley, Shaya Wolf, M. Borowczak
{"title":"Blockchain-Based Election Infrastructures","authors":"Rafer Cooley, Shaya Wolf, M. Borowczak","doi":"10.1109/ISC2.2018.8656988","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656988","url":null,"abstract":"Students at the University of Wyoming designed two blockchain-based voting systems during a class offered only once at the University. The first system (re-use) branched Ethereum to leverage its security and privacy benefits. The second system (re-invent) created a new blockchain voting system which used two separate chains, one for validating voters and another for securing votes. This research looked at the benefits and flaws of current election systems as well as benefits and flaws of blockchain technology to improve upon the current election infrastructure. These systems aim to provide integrity, privacy and security to its users. Further, they strive to be fault-tolerant. Finally, these systems could be extended to mobile voting platforms and smart contracts. Based on current decentralized services, this research demonstrates a proof-of-concept that elections could benefit from blockchain-based systems. These types of systems would be ideal in smart cities to ensure the reliability of the voting procedure.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876469","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
City safety perception model based on visual content of street images 基于街道图像视觉内容的城市安全感知模型
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656949
Sergio F. Acosta, Jorge E. Camargo
{"title":"City safety perception model based on visual content of street images","authors":"Sergio F. Acosta, Jorge E. Camargo","doi":"10.1109/ISC2.2018.8656949","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656949","url":null,"abstract":"Safety perception measurement has been a subject of interest in many cities of the world. This is due to its social relevance, and to its effect on some local economic activities. Even though people safety perception is a subjective topic, sometimes it is possible to find out common beliefs given a restricted sociocultural context. This paper presents an approach that makes use of image processing and machine learning techniques to model citizen’s safety perception using visual information of city images. The proposed method predicts how safe a given street of Bogotá City can be. This is done based on people judgment of the visual appearance of a street image. Results suggest that the obtained model is able to detect city streets, where a visual feature is linked to an activity or street condition that has a significant influence on their associated safety perception. This feature makes the proposed model an alternative tool for decision makers with regard to urban planning, safety and health public policies, as well as a collective memory associated to a particular urban environment.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127717411","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: 7
The Evolving Architecture of Smart Cities 不断发展的智慧城市架构
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656678
J. Colistra
{"title":"The Evolving Architecture of Smart Cities","authors":"J. Colistra","doi":"10.1109/ISC2.2018.8656678","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656678","url":null,"abstract":"This paper will present research being conducted in developing housing models that leverage data collection for use in Population Health strategies. A multifamily prototype unit that demonstrates best practices in creating livable communities within Smart Cities is being developed. Utilizing prefabricated construction methodologies to bring these models to scale is being investigated.Gigabit networks allow Smart Cites to collect and analyze vast amounts of data. Sensors embedded in the built environment are able to collect human vital signs, physical activity, environmental conditions, and pharmaceutical regiments.Population Health strategies utilize the collection and analysis of such data to deliver health care more affordably, effectively, and sometimes before we know we need it. This predictive ability will allow Smart Cities to evolve into Responsive Cities. Some of the more advanced technologies presented here include: motion sensors/fall detection, gait-analysis, automated LED smart-spectrum lighting, smart mirrors, smart toilets, sleep sensors, and automated medicine dispensers.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129111889","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: 17
Assessment of Communication Technologies Supporting Smart Streetlighting Applications 支持智能路灯应用的通信技术评估
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656979
M. Kuzlu, M. Pipattanasomporn, S. Rahman
{"title":"Assessment of Communication Technologies Supporting Smart Streetlighting Applications","authors":"M. Kuzlu, M. Pipattanasomporn, S. Rahman","doi":"10.1109/ISC2.2018.8656979","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656979","url":null,"abstract":"With increasing availability of Internet of Things (IoT) technologies and smart devices, many smart city applications have emerged. Smart streetlighting is one of most important building blocks in a smart city. As streetlights are widely distributed across a city and some are already networked, they have a great potential to serve as a readily available infrastructure supporting additional sensing and control devices, such as environmental sensors, traffic sensors and/or IP cameras, to provide city-wide services. To connect different sensors and actuators, communication technologies and networks are of prime importance. A variety of communication technologies are available, such as Cellular, WiMAX, LTE, SigFox, LoRa and Weightless. The objective of this paper is to review various communication technologies available for supporting different applications implemented on networked streetlights. Evaluation criteria are based on specific network requirements of different smart streetlighting applications with respect to their data rate, latency, reliability and security.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130477678","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: 6
Adversarial Exploitation of Emergent Dynamics in Smart Cities 智慧城市中新兴动态的对抗性开发
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656789
Vahid Behzadan, Arslan Munir
{"title":"Adversarial Exploitation of Emergent Dynamics in Smart Cities","authors":"Vahid Behzadan, Arslan Munir","doi":"10.1109/ISC2.2018.8656789","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656789","url":null,"abstract":"We investigate the paradigm of adversarial attacks that target the emergent dynamics of Complex Adaptive Smart Cities (CASCs). To facilitate the analysis of such attacks, we develop quantitative definitions and metrics of attack, vulnerability, and resilience in the context of CASC security. Furthermore, we propose multiple schemes for classification of attack surfaces and vectors in CASC, complemented with examples of practical attacks. Building on this foundation, we propose a framework based on reinforcement learning for simulation and analysis of such attacks on CASC, and demonstrate its performance through two real-world case studies of targeting power grids and traffic management systems. We also remark on future research directions in analysis and design of secure smart cities and complex adaptive systems.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132699701","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: 5
An Interactive Device for Ambient Awareness on Sidewalk for Visually Impaired 为视障人士设计的人行道环境感知互动装置
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656966
Faruk Ahmed, M. Mahmud, M. Yeasin
{"title":"An Interactive Device for Ambient Awareness on Sidewalk for Visually Impaired","authors":"Faruk Ahmed, M. Mahmud, M. Yeasin","doi":"10.1109/ISC2.2018.8656966","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656966","url":null,"abstract":"Ambient awareness on a sidewalk is critical for safe navigation, especially for the people who are visually impaired. Awareness of obstacles such as debris, potholes, construction site, and traffic movement pattern improve mobility and independence of them. To address this problem, we implemented an interactive and portable sidewalk assistive device (IPSAD). The key idea is to use the power of deep learning to model the “obstacles” on a sidewalk to provide personalized feedback to the user. We focus on transfer learning and fine tuning of pre-trained Convolutional Neural Network (CNN) models for real-time obstacle recognition that can be deployed in small form factor devices. This approach also account for issues related to the execution time and energy efficiency. We empirically evaluate a number of state-of-the-art architectures to choose the best model based on fewer parameters and lower energy consumption. Finally, we built fully integrated IPSAD prototype on Raspberry Pi3 (RPi3). Audio feedback scheme were implemented to accommodate user preferences and personalization. We perform quantitative evaluation of the prototype system based on the accuracy of the model on Ambient Awareness on Sidewalk (AS) dataset, on-field system performance, data communication, response time (capturing images, recognition of obstacle and feedback), and failure points. Empirical evaluation showed that the accuracy of the model is 87% on the AS dataset and 78.75% on-field system. The system can operate either standalone mode when there is no Internet or cloud mode. In addition, the system can use human intelligence through crowd source and caregiver(s) to assist the users when automated system fails.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128381769","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: 7
Mobility Mode Detection Using WiFi Signals 使用WiFi信号检测移动模式
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656903
Arash Kalatian, B. Farooq
{"title":"Mobility Mode Detection Using WiFi Signals","authors":"Arash Kalatian, B. Farooq","doi":"10.1109/ISC2.2018.8656903","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656903","url":null,"abstract":"We utilize Wi-Fi communications from smartphones to predict their mobility mode, i.e. walking, biking and driving. Wi-Fi sensors were deployed at four strategic locations in a closed loop on streets in downtown Toronto. Deep neural network (Multilayer Perceptron) along with three decision tree-based classifiers (Decision Tree, Bagged Decision Tree and Random Forest) are developed. Results show that the best prediction accuracy is achieved by Multilayer Perceptron, with 86.52% correct predictions of mobility modes.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"53 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131671935","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: 5
An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities 基于动态频谱接入的智慧城市有效网络架构
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656954
V. Shah, S. Silvestri, Shameek Bhattacharjee, Sajal K. Das
{"title":"An Effective Dynamic Spectrum Access based Network Architecture for Smart Cities","authors":"V. Shah, S. Silvestri, Shameek Bhattacharjee, Sajal K. Das","doi":"10.1109/ISC2.2018.8656954","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656954","url":null,"abstract":"According to the Smart City Council, an adequate telecommunications infrastructure is vital for the success of businesses, industries as well as residents of future Smart Cities. However, currently available network technologies, such as 3/4G, GSM, LTE, and LTE-A, are rapidly reaching their limit mainly due to spectrum scarcity, cross technology interference and increased traffic demand. Such limitations are only going to worsen in the next years, due to the advent of Internet of Things technologies that are expected to interconnect billions of devices to the Internet. Dynamic Spectrum Access (DSA) has been proposed to overcome such limitations and exploit unused spectrum resources over multiple electro-magnetic spectrum bands. In this paper, we propose a DSA-based architecture in which DSA radio devices are deployed on the Smart City’s urban vehicles (e.g., public buses, taxis, municipal vehicles, etc.), that act as data mules to gather and forward the various types of data. This results in a Delay Tolerant Network (DTN) in which devices can operate over multiple bands, if available. Given lack of research in efficient routing schemes for such networks, we first compare existing DTN routing approaches designed for standard (or single band) DTNs, such as Epidemic Routing and Spray and Wait, in urban DSA scenarios and show that they are largely inefficient. Subsequently, we propose extensions to these approaches in order to better exploit the availability of multiple bands in a DSA paradigm. Results on realistic traces based on the map of Lexington, KY, USA, show that the modified approaches improve the network performance, such as successful message delivery and network latency, however, at the expense of very high energy expenditure and message overhead. Hence, we conclude by pointing out that further research is needed, since significant performance improvements are still possible by designing routing schemes that are specifically tailored for DSA Smart City networks.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133336172","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
Improving the Physical Layer Security of the Internet of Things (IoT) 提高物联网(IoT)物理层安全性
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656930
Ali Alsadi, S. Mohan
{"title":"Improving the Physical Layer Security of the Internet of Things (IoT)","authors":"Ali Alsadi, S. Mohan","doi":"10.1109/ISC2.2018.8656930","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656930","url":null,"abstract":"The Internet of Things (IoT) is one of the most promising technological revolutions. However, the IoT is inherently vulnerable to attacks. In this paper, we propose to enhance the physical layer security of the IoT by using a technique called information passing and interference addition. In the physical layer security analysis, the achieved secrecy rate has an inverse relationship with the intruder’s distance to the legitimate transmitter. The aim of our work is, first to increase the achievable secrecy rate by letting the legitimate transmitter find an alternative route to the fusion center to achieve a higher secrecy rate than the direct route. Hence, the legitimate transmitter must not disclose the actual information to the fusion center if there is an eavesdropper located between them, instead, it must pass the information to another node via a directional antenna to concentrate the power towards the intended receiving node. Passing the information to the nearest node must be done under the condition that there is no intruder in between. Second, we used simultaneous multi-stream beamforming transmission to strengthen the legitimate receiver’s signal-to-noise ratios and at the same time, it poisons the eavesdropper channel with interference. Third, the proposed node may disclose a false information to the intruder in some cases. The system has been designed and the secrecy analysis of the system has been investigated. The result showed that using directional antennas would increase the probability of having at least one secure connection coming out of the node to the other legitimate nodes by 30% than the omni antenna. Moreover, the results showed that using the simultaneous multi-stream beamforming would improve the legitimate channel’s achievable secrecy rate and that it has superiority over the directional antenna effect.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128440786","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
Short-Term PV Output Forecasts with Support Vector Regression Optimized by Cuckoo Search and Differential Evolution Algorithms 基于杜鹃搜索和差分进化算法优化的支持向量回归短期光伏产量预测
2018 IEEE International Smart Cities Conference (ISC2) Pub Date : 2018-09-01 DOI: 10.1109/ISC2.2018.8656685
Musaed Alrashidi, Massoud Alrashidi, M. Pipattanasomporn, S. Rahman
{"title":"Short-Term PV Output Forecasts with Support Vector Regression Optimized by Cuckoo Search and Differential Evolution Algorithms","authors":"Musaed Alrashidi, Massoud Alrashidi, M. Pipattanasomporn, S. Rahman","doi":"10.1109/ISC2.2018.8656685","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656685","url":null,"abstract":"Renewable energy sources have gained momentum in electric power systems. Without the ability to precisely forecast their power production, integrating these sources to the electric power grid may affect grid stability. Support Vector Regression (SVR) is proven to be able to capture and deal with nonlinearity in forecasting problems. However, determining the appropriate parameters for SVR is the key issue in attaining an accurate SVR forecasting model. The objective of this paper is to forecast the output power of solar photovoltaic (PV) systems using support vector regression, of which its parameters are optimized by Cuckoo Search (CS) and Differential evolution (DE) algorithms. Real-world solar data from the 6.4kW rooftop solar PV unit located at the Advance Research Institute (ARI) of Virginia Tech in Arlington, Virginia, are used as the basis of the forecast. Six input variables are used for model development, namely day, month, hour, global normal radiation, temperature and wind speed. Model performance is evaluated using statistical indicators. Results indicate that SVR with Radial Basis function optimized by CS and DE give the most accurate forecasts.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128761401","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: 8
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