2019 IEEE International Smart Cities Conference (ISC2)最新文献

Experimental Evaluation of Urban Points-of-Interest as Predictors of I2V 802.11 Data Transfers 城市兴趣点作为I2V 802.11数据传输预测器的实验评估

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071692

P. Santos, Luís M. Sousa, Ana Aguiar

{"title":"Experimental Evaluation of Urban Points-of-Interest as Predictors of I2V 802.11 Data Transfers","authors":"P. Santos, Luís M. Sousa, Ana Aguiar","doi":"10.1109/ISC246665.2019.9071692","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071692","url":null,"abstract":"Smart Cities will leverage the Internet-of-Things (IoT) paradigm to enable cyber-physical loops over urban processes. Vehicular backhauls contribute to IoT platforms by allowing sensor/actuator nodes near roads to explore opportunistic connections to passing vehicles when other communication backhauls are unavailable. A placement process of nodes that includes vehicular networks as a connectivity backhaul requires estimates of infrastructure-to-vehicle (I2V) wireless service at potential deployment sites. However, carrying out I2V measurement campaigns at all potential locations can be very expensive; so, predictive models are necessary. To this end, qualitative characteristics of a potential site, such as infrastructural points-of-interest (POI) relating to traffic (i.e., traffic lights, crosswalks) and fleet activities (i.e., bus stops, garbage bins) can inform about the vehicles’ mobility patterns and quality of the I2V service. In this paper, we show the contribution of POI (and site-specific information) to I2V transfers, leveraging a real-world dataset of geo-referenced I2V WiFi link measurements in urban settings. We present the distributions of throughput with respect to distance per POI class and site, and apply exponential regression to obtain practical throughput/distance models. We then use these models to compare I2V transfer estimation methodologies with different levels of POI-specific data and data resolution. We observe that I2V transfer estimate accuracy can improve from an average over-estimation of 18.3% with respect to measured values, if site or POI-specific information metrics are not used, to 9.3% in case such information is used.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114964842","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

A Control Strategy Based on Power Forecasting for Micro-Grid Systems 基于功率预测的微电网系统控制策略

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071722

A. Elmouatamid, R. Ouladsine, M. Bakhouya, N. E. Kamoun, K. Zine-dine, M. Khaidar

引用次数: 7

Dynamic Spatial Cluster Process Model of Geo-Tagged Tweets in London 伦敦地理标记推文的动态空间聚类过程模型

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071657

Matteo Mazzamurro, Yue Wu, Weisi Guo

引用次数: 2

Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality 基于虚拟现实的实时异构智慧城市数据可视化

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071699

Steven Vanden Broucke, N. Deligiannis

{"title":"Visualization of Real-Time Heterogeneous Smart City Data Using Virtual Reality","authors":"Steven Vanden Broucke, N. Deligiannis","doi":"10.1109/ISC246665.2019.9071699","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071699","url":null,"abstract":"As the size and dimensionality of big heterogeneous data increases, finding patterns and anomalies with existing visualization methods and tools poses a significant challenge. The majority of open data platforms that offer smart city data visualizations use browser-based two-dimensional (2D) visualizations as 2D displays are widely adopted. These displays are however ineffective in depicting multi-dimensional heterogeneous data. The recent growth in the virtual reality (VR) consumer market resulted in an affordable alternative for 3D visualizations. In this paper, we propose a VR system capable of visualizing real-time smart city data concerning the city of Brussels. A subset of external data sources that is already visualized in existing web platforms is incorporated in the VR application. A user study is conducted to assess perceived workloads and data immersion parameters for a set of data exploration tasks in three existing web platforms and in the proposed VR system. Results indicate significantly lower levels of perceived frustration and significantly higher levels of data intuitivity, immersion, overview in data, and intuitive interaction. However, no significant difference in total perceived workload is observed.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125819672","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: 9

Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings 净零能耗建筑能量性能评价指标

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071782

N. K. Twum-Duah, Manar Amayri, F. Wurtz, S. Ploix

{"title":"Indicators for Evaluation of Energetic Performance of Net Zero Energy Buildings","authors":"N. K. Twum-Duah, Manar Amayri, F. Wurtz, S. Ploix","doi":"10.1109/ISC246665.2019.9071782","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071782","url":null,"abstract":"According to experts, the average temperature of the planet has increased at an unprecedented and alarmingly high rate over the last fifty (50) years. Carbon emissions have been found to be a major catalyst for climate change and the energy sector one of the highest emitters globally. Thus any significant reduction in energy related emissions would have a significant impact on global carbon emissions and consequently global warming. UN-Habitat estimates that approximately 56% of energy produced in most African nations is consumed in buildings. There is a need for energy efficiency and possibly conservation in buildings since they represent the single largest consumer of energy on the continent. Net Zero Energy Buildings (NZEBs), a possible solution for reducing the energy footprint of buildings, represents the evolution of buildings in the near future. The Zero energy concept has a major impact on the design and construction of future buildings. This paper focuses on the review and development of existing Load Match Indicators for zero energy buildings. Four indicators are provided and discussed (i.e. self-consumption, self-production, loss of load probability, and coverage rate indicators). For the purpose of this paper, Predis-MHI (a platform of G2ELab) was used as a case study. Data was collected from the platform’s living lab and was used in the calculation and evaluation of these indicators. The results indicate the relevance of each indicator in evaluating the energetic performance of a building and also highlight the practical difficulties faced in evaluating the platform.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121188457","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 Web-based Navigation System for a Smart Campus with Air Quality Monitoring 基于网络的智能校园空气质量监测导航系统

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071669

Chayanit Chotbenjamaporn, Achiraya Chutisilp, Panuwat Threethanuchai, Sarun Poolkrajang, Methasit Tuwawit, Pamaree Laowong, Apisara Tirajitto, Ekkawit Wang, Rada Muangsiri, Arocha Compeecharoenporn, Vasant Srichawla, N. Prompoon, C. Ratanamahatana, M. Pipattanasomporn

{"title":"A Web-based Navigation System for a Smart Campus with Air Quality Monitoring","authors":"Chayanit Chotbenjamaporn, Achiraya Chutisilp, Panuwat Threethanuchai, Sarun Poolkrajang, Methasit Tuwawit, Pamaree Laowong, Apisara Tirajitto, Ekkawit Wang, Rada Muangsiri, Arocha Compeecharoenporn, Vasant Srichawla, N. Prompoon, C. Ratanamahatana, M. Pipattanasomporn","doi":"10.1109/ISC246665.2019.9071669","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071669","url":null,"abstract":"In a typical university campus, many transportation methods are available in addition to personal vehicles and walking. For example, at Chulalongkorn University, on-campus transportation means are CU Pop Bus, Ha:mo, MuvMi and CU Bike. Existing navigation tools do not take into account all available transportation means into the routing. The objective of this work is to develop a prototype navigation system for a smart campus that suggests shortest/fastest routes based on all available on-campus transportation methods. In addition, the database containing course information has also been developed for students to search for their classrooms by inputting course ID or course name. Moreover, this web-based application provides the ability to view real-time PM2.5 level, which is the issue of great concern in many Asian countries. The case study of Chulalongkorn University, Thailand, is used as an example to demonstrate the developed prototype. This paper discusses overview of the developed system, its functional and non-functional requirements, system architecture, software quality assurance tests/results, and prototype implementation. It is worth noting that the work and method presented herein can be implemented at any other university campuses elsewhere.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114310465","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

Modeling Threat of Leaking Private Keys from Air-Gapped Blockchain Wallets 从气隙区块链钱包泄漏私钥的威胁建模

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071725

A. Davenport, S. Shetty

引用次数: 1

RnMonitor: a WebGIS-based platform for expedite in situ deployment of IoT edge devices and effective Radon Risk Management RnMonitor:一个基于webgis的平台，用于加速物联网边缘设备的现场部署和有效的氡风险管理

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071789

S. I. Lopes, P. M. Moreira, António M. Cruz, Pedro M. N. Martins, F. Pereira, A. Curado

{"title":"RnMonitor: a WebGIS-based platform for expedite in situ deployment of IoT edge devices and effective Radon Risk Management","authors":"S. I. Lopes, P. M. Moreira, António M. Cruz, Pedro M. N. Martins, F. Pereira, A. Curado","doi":"10.1109/ISC246665.2019.9071789","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071789","url":null,"abstract":"IoT-based monitoring (i.e. smart monitoring) technologies have been recently used for on-line monitoring in many application fields, such as home, environmental and industrial process monitoring. People spend at least half of their life inside buildings, therefore, Indoor Air Quality (IAQ) plays an important role both on human health and on buildings’ sustainability. Radon gas is one of the most important parameters regarding IAQ assessment, being considered by the World Health Organization (WHO) as the second largest risk factor associated with lung cancer. This paper aims to present RnMonitor, a WebGIS-based platform developed for effective Radon Risk Management and expedite in situ deployment of IoT-based sensors. Given the fact that the spatial context is key for visual and data analytics, the proposed platform takes advantage of a hierarchy of spatially related entities (buildings/rooms/devices) that are natively georeferenced in the system, and thus providing spatial context to acquired data, and other relevant metrics, by means of a simple, responsive and intuitive web-based application.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131464537","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: 16

The Textual Data Analysis Approach to Assist the Diagnosis of Smart Cities Initiatives 文本数据分析方法协助智慧城市举措的诊断

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071663

Adnane Founoun, A. Hayar, A. Haqiq

引用次数: 1

Analysis on Regularity of Speech Energy based on Optimal Thresholding for Tamil Stuttering Dataset 基于最优阈值的泰米尔口吃数据集语音能量规律分析

2019 IEEE International Smart Cities Conference (ISC2) Pub Date : 2019-10-01 DOI: 10.1109/ISC246665.2019.9071726

M. Manjutha, P. Subashini, M. Krishnaveni

{"title":"Analysis on Regularity of Speech Energy based on Optimal Thresholding for Tamil Stuttering Dataset","authors":"M. Manjutha, P. Subashini, M. Krishnaveni","doi":"10.1109/ISC246665.2019.9071726","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071726","url":null,"abstract":"All over the world millions of people were affected by speech disorders in which one of the significant speech disorders is stuttering. Over the past two decade immense number of research is going on in the field of fluency disorder, and still it is necessary to enhance the analysis of stuttering disorder regional-wise. The speech signal tempo will vary with each individual where the specific fluctuation in the velocity of stutter speech is typical and it is due to the intervals in the speech rate which has a significant difference in normal stuttered speech. In this paper, Regularity of Speech Energy (RSE) was analyzed as normal, moderate and severe through Tamil speaking stuttered dataset. The analysis was done based on the energy threshold obtained during the irregular release of energy which is henceforth analyzed using optimal thresholding based on Particle Swam optimization (PSO) and Synergistic Fibroblast optimization (SFO) techniques. In order to evaluate the experimental analysis on RSE, statistical measures such as mean, standard deviation, Mean Square Error (MSE) and Root Mean Square Error (RMSE) were calculated. The experimental results of analysis on RSE have proved that stuttered speaker’s signal releases low energy when compared to the normal speaker where the optimal threshold energy enhances the detection of hidden speech energy.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114480083","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