{"title":"A Multiscalar Approach for ‘Smart City’ Planning","authors":"Sesil Koutra, V. Becue, C. Ioakimidis","doi":"10.1109/ISC2.2018.8656889","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656889","url":null,"abstract":"Smart cities represent an urban model of the strategic planning of the future cities. However, the ‘smart cities’ topic remains a challenge for urban agglomerations and still a philosophical concept referring to interdisciplinary fields. In this paper, we map out the evolutionary development of the city towards a comprehensive perception of the smart city concept. The paper discusses the concept focusing on the district design as a vital ingredient of the living lab of the city introducing a multi scalar approach. The authors introduce a definition towards the ‘smart’ idea in the future cities setting ‘smart’ objectives in the early beginning of the city planning in a participatory process towards the understanding of the ‘smart’ concept in its spatial dimension.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"7 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":"126562183","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}
{"title":"Treety: A Data-driven Approach to Urban Canopy Development","authors":"S. Mannan, Joseph Callenes-Sloan","doi":"10.1109/ISC2.2018.8656956","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656956","url":null,"abstract":"Cities are facing increasingly significant sustainability issues in the face of growing populations and climate change. At the center of many cities plans to address sustainability issues, are plans for urban canopy development (i.e. increases the number of trees in cities). In this paper, we propose an approach to educate residents about the environmental and socio-economic benefits of trees in urban settings and incentivize tree growth in cities. In addition to environmental benefits, trees have been shown to have many significant socio-economic benefits (e.g. real estate values, pedestrian traffic, motor traffic, and many other aspects of urban life) [1], [2], [3]. Our approach can also be leveraged to encourage resident participation in city tree development programs, such as Free Tree Programs [4]. By quantifying and displaying tree environmental and economic benefits at the selected locations on an interactive map, citizens and policymakers can determine the best locations to plant trees in the city. The system aggregates data from the distributed city sensors to model tree benefits and provide an overall score which quantifies the benefit of planting a tree(s) at a given location(s). The system models tree benefits by taking historical data from the pedestrian, environmental, and traffic sensors to predict the potential impacts (e.g. carbon reduction, evapotranspiration, average pedestrian traffic, and average vehicular traffic, property values, ) of a tree(s) at a given location(s) [1], [2], [3], [5]. By using the system, citizens learn about the positive effects of having trees in their neighborhood and policy makers may also better conduct city planning and develop urban policies/strategies to maximize the impact of trees in their communities. Results show moderate to strong correlations between a sample of key socio-economic parameters and trees.","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":"115723296","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}
Xuefeng Xi, Lei Wang, Encen Zou, Cheng Zeng, Baochuan Fu
{"title":"Joint Learning for Non-standard Chinese Building Address Standardization*","authors":"Xuefeng Xi, Lei Wang, Encen Zou, Cheng Zeng, Baochuan Fu","doi":"10.1109/ISC2.2018.8656953","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656953","url":null,"abstract":"Since there is no uniform specification for building address name in China, the same building address maybe has many different representations in Chinese natural language. The goal of the non-standard Chinese building address standardization task is to uniformly convert the non-standard building addresses from different social institutions to the standard building address defined by the public security organ, so that the spatial location information corresponding to the standard building address can be obtained. This plays an important role in the analysis and processing of big data in smart cities. Due to the large number of non-standard building addresses and the semantic ambiguity of addresses expressed in Chinese natural language, traditional methods based on string matching are difficult to meet the task requirements. To address these above problems, we propose an innovative joint learning approach based on hash map principle and word frequency theory for standardizing Chinese non-standard building addresses. Experimental results on the dataset constructed via crowdsourced technology show that approach has outstanding accuracy and adaptability to data from different sources.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"357 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":"116468797","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}
{"title":"Improving the Physical Layer Security of the Internet of Things (IoT)","authors":"Ali Alsadi, S. Mohan","doi":"10.1109/ISC2.2018.8656679","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656679","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. Our work is, first, to increase the achievable secrecy rate by letting the legitimate transmitter find an alternative route to the fusion center that could 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, and rather must pass its 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 happen under the condition that there is no intruder in between. Second, we use simultaneous multi-stream beamforming transmission to strengthen the legitimate receiver’s signal-to-noise ratios and at the same time poison the eavesdropper channel with interference. Third, we disclose false information to the intruder. We created the system design and investigated the secrecy analysis of that system. Also, we discussed the use of directional antennas on the legitimate nodes. 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. Moreover, the results showed that using the simultaneous multi-stream beamforming improved 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":"9 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":"128599434","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}
{"title":"Web Visualization of Temporal and Spatial Health Data from Smartphone App in Smart and Connected Community (SCC)","authors":"Sharmin Afroz, B. Morshed","doi":"10.1109/ISC2.2018.8656990","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656990","url":null,"abstract":"This paper presents a strategy of graphical visualization of the community-based Smart and Connected Community (SCC) Health data through novel spatial and temporal plots. Temporal visualization consists of two plots: graph and flow; whereas spatial visualization can be static Google Map overlay or animation over selected timeframe. The visualization uses the disease severity (Events of Interest, EoI) through colors. An arbitrary grid is used with random area code where each grid is represented by rectangles defined by latitude and longitude of that area so that it is impossible to precisely localize the study participants. The major contribution of this work is to exhibit the continuous health status of the community through the cumulative and segmented animation on the spatial plots. To implement this, a web-based dynamic server is utilized. Front end of the server uses JavaScript JQuery and Ajax, whereas backend is managed by Hypertext Preprocessor, i.e. PHP. The phpMyAdmin (administration tool for MySQL) stores the JSON data from smartphone app. Survey result shows that 81.4% participants in pre-session and 84.75% participants in post-session provided positive feedback about the visualization. In this work, the visualization is implemented with mock data.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"7 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":"133799119","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}
{"title":"Bike commuters contribution to balance shared bike systems during peak load","authors":"Dmitry Gimon","doi":"10.1109/ISC2.2018.8656882","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656882","url":null,"abstract":"Bike sharing systems are a new and rapidly growing feature of modern cities. The most common problem in these systems is the capacity limitation. Demand depends on the station’s location and the time of the day. In this study, we analyze how user behavior incentivized or disincentivized changes depending on the station’s load, and as a result allows the stations to remain functional. We analyzed a dataset of NYC Citi Bike system rides and station states. The study shows that users tend to choose other stations as the number of bikes available decreases, and they are more likely to do so when an incentive is introduced. This paper contributes to the studies of collective use of city infrastructure.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"143 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":"130938773","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}
Ye Wang, P. Tosh, Jejung Lee, Yugyung Lee, Shawn Henderson, Sejun Song, B. Choi
{"title":"An Interdisciplinary Educational Project Connecting Smart City Technology with Local Communities","authors":"Ye Wang, P. Tosh, Jejung Lee, Yugyung Lee, Shawn Henderson, Sejun Song, B. Choi","doi":"10.1109/ISC2.2018.8656986","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656986","url":null,"abstract":"This poster presentation demonstrates an ongoing research effort that combines smart city technologies with strategic communication and graphic design via a course Advertising Campaigns, to maximize the societal impact and better connect with local communities.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"2 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":"131097188","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}
{"title":"Community Microgrid Investment Planning: A Conceptual Framework","authors":"Emi Minghui Gui, I. MacGill, R. Betz","doi":"10.1109/ISC2.2018.8656707","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656707","url":null,"abstract":"From a long-term investment point of view, community microgrid planning and operation will need to ensure resource allocation efficiency, facilitated by appropriate revenue flows, to achieve optimum outcomes for all stakeholders including the community, investors and the providers. Drawing insights and experience from traditional electricity sector planning and infrastructure planning in general, this paper discusses a number of strategic options in microgrid market design, including monopolistic model, customer cooperation model and prosumer competition model, and assesses their potential suitability to deliver such outcomes. This provides a conceptual framework for the evaluation of the available strategic options and the identification of challenges in community microgrid investment planning, that can guide communities, public and private investors looking into achieving more efficient and more reliable electricity supply through community microgrids or clean energy.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"83 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":"115756682","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}
{"title":"InterSensor Service: Establishing Interoperability over Heterogeneous Sensor Observations and Platforms for Smart Cities","authors":"Kanishk Chaturvedi, T. H. Kolbe","doi":"10.1109/ISC2.2018.8656984","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656984","url":null,"abstract":"In most smart city projects, multiple stakeholders and companies are involved who use their own sensors and IoT devices which are managed by different platforms and APIs. However, in order to work within a common operational framework, it is unlikely that all of the stakeholders would be willing to use a common platform. Sensor web infrastructures play a key role in providing interoperability between heterogeneous sensor observations and platforms. Such infrastructures always require a data storage to store sensor data and their observations. It can be an issue as not all stakeholders would be willing to inject their proprietary data into a third-party data storage in the sensor web. In this paper, we introduce a new lightweight web service called InterSensor Service allowing users to simply connect to multiple IoT platforms and databases and retrieving their observations without worrying about data storage and the multitude of different APIs. The service encodes these observations using standardized external interfaces such as the OGC Sensor Observation Service and SensorThings API. We have developed a Java based implementation of the InterSensor Service, which is being offered free as open source software. The service is already being used in smart city projects and one application for the district Queen Elizabeth Olympic Park in London is shown in this paper.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"223 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":"122606698","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}
{"title":"A Distributed Network QoE Measurement Framework for Smart Networks in Smart Cities","authors":"Jielun Zhang, Feng Ye, Y. Qian","doi":"10.1109/ISC2.2018.8656854","DOIUrl":"https://doi.org/10.1109/ISC2.2018.8656854","url":null,"abstract":"Smart City requires an intelligent and efficient network to provide services with good quality-of-experience (QoE). In this paper, we propose to develop a secure and distributed network QoE measurement for smart networks in Smart Cities. Network measurement capability has been updated gradually as the network technology progresses. For example, software-defined network will enable efficient monitoring and control of the core network. However, end-to-end network QoE measurement requires distributed approaches from the user side. In our proposed measurement framework, a traffic measurement agent is deployed in the last-hop gateway. The gateway is equipped with new features, i.e., encrypted packet classifier, traffic prediction, and user quality-of-service (QoS) to QoE mappings. Since all measurement process is done at the gateway, end user devices are separated from the entire process. Thus security can be provided by the proposed measurement framework. In addition to the framework, we demonstrated a efficient learning approach to develop the traffic prediction scheme and the QoS to QoE mapping scheme. Experiments results demonstrated that the developed schemes are applicable to a distributed network QoS measurement framework for Smart City network services.","PeriodicalId":344652,"journal":{"name":"2018 IEEE International Smart Cities Conference (ISC2)","volume":"68 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":"122647785","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}