2017 IEEE First Summer School on Smart Cities (S3C)最新文献

{"title":"Strategies and Methodologies for Civic Engagement and Social Empowerment","authors":"I. Santos, A. Nobre, Janayna Cruz Ibiapina, P. Oliveira, Z. Carvalho, Á. Oliveira","doi":"10.1109/S3C.2017.8501396","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501396","url":null,"abstract":"The paradigm of the post-industrial society of the 21st century, based on the diffusion of knowledge through Information and Communication Technologies (ICTs), coupled with the growing demands of contemporary society, exposes public management in an open and transparent scenario of thought-provoking challenge concerning the effectiveness of its actions. This scenario requires efforts from the public manager in order to reorganize its institutional arrangement, inserting innovations that allow the systematic competitiveness not only of the public sector, but of the other participating members of the urban experience. In the meantime, the concept of Human Smart Cities presents itself as a push element of transformation that aims to overcome this gap through the fruitful articulation and interaction of the public admnistration, the universities, the business and financial sectors and other members of civil society [1], using ICTs as the connectivity tool between these elements and the management of the co-design and co-creation activities. Such a transformation to innovate democracy requires an effort from the main players regarding the need to actively participate in the vision, strategy and implementation of the goals that characterize a Human Smart City that the authors present as a contribution to face the current Brazilian crisis. Given this context, the present study seeks to present strategies, methodologies and best practices for sensitization, civic engagement, social empowerment and sustainable motivation to participate in the co design and co-creation of a Human Smart City. Therefore, a systematic analysis was conducted, illustrated with the best practices implemented in the \"Natal Human Smart City Program\". Living Labs are used as a methodological basis for the Urban Living Lab - the engine of the city’s socioeconomic development - based on its innovation ecosystem, illustrated by the collaboration between the City Hall of Natal and the Federal University of Rio Grande do Norte (UFRN), through the Digital Metropolis Institute (IMD).","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114164094","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":"Smart winds? : Green energy and a window of opportunity for Brazilian small cities","authors":"Hironobu Sano","doi":"10.1109/S3C.2017.8501360","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501360","url":null,"abstract":"Smart city is a concept and a strategy used to address problems derived from rapid urbanization. Initially focused on the smart use of information and communication technology, the concept has broadened its horizons and is now seen as straightly connected to the concept of sustainable development. The dissemination of green energies sources, such as wind power, is connected to the premises of sustainability and has found fertile winds in Brazil, particularly in small and poorer cities. This paper aims to analyze if the expansion of wind energy is being capable of pushing these small cities into a sustainable development path and, thus, to become smarter cities. A review of the literature provides the key features to analyze these cities. The main conclusion is that despite of a huge increase in tax revenue, there is an erratic movement in the cities, revealing that improvements in one area are not necessarily associated to better performance in others.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123885615","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 Comparative Study of Tools for Smart Cities Open Data Publication and Management","authors":"J. Macêdo, N. Cacho, Frederico Lopes","doi":"10.1109/S3C.2017.8501408","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501408","url":null,"abstract":"Open Data is an important activity for our society, improving many aspects of our lives. Despite the existence of data catalog platforms as CKAN, the complexity and costs of achieving the publication of Open Data are still a challenge. This paper analysis existing tools related to Open Data publication, creating a taxonomy to compare and evaluate those tools through experimentation. Concluding that the presented tools were not able to properly achieve the criteria, thus, proposing the futures works to be the designing and implementation of a new tool, aiming to decrease the complexity and costs, and to make possible non-IT technicians to publish and manage Open Data, engaging the real data producers in the Open Data movement.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"81 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120895409","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":"Building Pressure-Sensitive Foot Insoles for Public Health Evaluation in Smart Cities","authors":"P. M. Silva, Ledycnarf J. Holanda, Edith E. Granados, E. Morya","doi":"10.1109/S3C.2017.8501375","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501375","url":null,"abstract":"Smart cities concept aims to achieve effectiveness and efficiency of public resources to provide services that cover specific needs of society. Currently, some smart cities have been developing technological advances to monitor human health such as vital signs and movement. Movement is related to human gait, an independent and indispensable ability for locomotion. When this ability is desynchronized can be assessed by plantar pressure distributions. A footwear evaluation is useful to clinical gait analysis by diagnosing foot pathologies, enhances athletic training, as well as, wide public health promotion. This paper presents a custom portable pressure-sensitive foot insole to measure real-time plantar pressure in both static and dynamic activity monitoring, rehabilitation, gait, balance analysis, and its application in smart cities. 10 Force Sensitive Resistor (FSR) are attached to the insole. A stable data acquisition system interfaces in a wireless transmitter through Bluetooth connection to a computer/mobile receiver. This pressure-sensitive foot insole can integrate an online health database framework in smart cities for evaluation of several gait pathologies, next generation of rehabilitation, health promotion, and healthy public policy.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116502092","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":"Smart Urban Mobility: Conceptual analysis for proposal model","authors":"Jaime Fabian Arias Aguilar, L. Mendes","doi":"10.1109/S3C.2017.8501406","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501406","url":null,"abstract":"Increased concentration of people in large cities has been recorded since the 19th century. This leads cities to face an ever greater challenge in providing suitable management of the different resources and services necessary to attend their citizens. The development of the modern city with their huge amount of vehicles and saturation of people caused the development of even greater stress to cities population, with extreme stress conditions occurring with respect to urban mobility. In fact, the citizen finds the streets congested, insecure and overcrowded by a polluted environment (air, visual and noise pollution). For this reason it is necessary to study, develop and implement alternatives of managing mobility to improve the quality of life of people leaving in cities. This research focus on analyzing experiences from several cities that are reference in the subject of mobility in order to study evolution of mobility and describe a model, based on computational intelligence, for making analytic predictions on urban mobility.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124154072","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":"Performance Assessment of the LOADng Routing Protocol in Smart City Scenarios","authors":"José V. V. Sobral, J. Rodrigues, Augusto J. V. Neto","doi":"10.1109/S3C.2017.8501394","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501394","url":null,"abstract":"Current smart city scenarios are strongly related to the use of wireless communications for providing a ubiquitous and pervasive network. The used wireless network devices are nodes with several restrictions in terms of hardware, energy, and communication. Due to these limitations, the selection of the appropriated routing protocol represents an important task in order to seek an efficient network. Although the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is used in a great variety of smart city applications, recent studies have been identifying some drawbacks and limitations of this protocol. In this context, the Lightweight On-demand Ad hoc Distance-vector Routing Protocol (LOADng) can emerge as an important alternative to RPL. The LOADng is a reactive routing protocol continuously used and evaluated in various network scenarios, but its performance in a smart city network was not studied yet. Hence, this work presents a performance evaluation study considering the use of LOADng in a smart city scenario. The routing protocol was evaluated using different routing metrics aiming to define the most appropriated one for a smart city application. The LOADng and the various routing metrics described in the paper were evaluated considering the packet delivery ratio, latency, number of hops, spent energy per bit, and network energy consumption. The results express that LOADng can present an efficient performance in applications with constant periodical data messages, but it is decreased when the messages are sent sporadically.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"592 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123940988","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":"Towards Ranking IoT Middleware Platforms Based on Quantitative and Qualitative Metrics","authors":"Mauro A. A. da Cruz, J. Rodrigues, K. Saleem, Andre L. L. Aquino","doi":"10.1109/S3C.2017.8501385","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501385","url":null,"abstract":"With so many resource-constrained objects (“things”) interacting autonomously in Internet of Things (IoT) solutions, the surrounding environment becomes smarter. A software, called middleware, plays a key role as it is responsible for most of the intelligence in IoT, acting as a “brain”, integrating data from devices, allowing them to communicate, and making decisions based on collected data. By nature, smart environments are heterogeneous, considering the plethora of available technologies, and middleware can thrive, playing even a more relevant role in large environments, such as smart cities. This paper explores the differences between connecting conventional and IoT devices to the Internet, while highlights the theoretically ideal operation of IoT middleware modules. Then, in order evaluate the performance comparison and rank this type of platforms across different scenarios, quantitative and qualitative metrics are proposed and detailed described.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114869741","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":"Designing Smart Cities for Citizen Health & Well-being","authors":"Inas S. Khayal, A. Farid","doi":"10.1109/S3C.2017.8501366","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501366","url":null,"abstract":"-Smart cities initiatives invariably include a quest to improve health in the process of making cities \"smarter\". The quest for health improvement is typically passively assumed rather than actively undertaken. This leads to the question of how to design smart cities to take into account citizen health and well-being. We first describe the health factors associated with health outcomes. In doing so, we emphasize the importance of analyzing not only biological factors but the critical social and physical environments where people live work and play – thus highlighting the opportunity for smart cities to impact health. Given that health factors are not expected to have a 1to-1 mapping with social and physical environments, this paper develops the mapping of health factors to social and physical environments. This is accomplished by first describing the health factors impacting health outcomes. Next, health is modeled as state described by discrete event dynamics using Petri-nets. This health model incorporates health factors associated with social and physical environments. Finally, frameworks describing social and physical environments are introduced to develop the mapping of health factors to the social and physical environments. If smart cities are to truly address health, we need to understand where new technology or networked systems affect health factors. The mapping presented in this work explicitly describes the social and physical environments that impact health factors. Such work allows practitioners to account for ways that smart cities initiatives can actively impact health rather than passively hoping to do so.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123181131","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 Generation Evaluating Framework: The next step for smart-metering data clustering","authors":"Felipe Goncalves, Vinicius Motta, Bruno Moreno","doi":"10.1109/S3C.2017.8501384","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501384","url":null,"abstract":"With the advent of new data collecting technologies, such as the smart-meters, it is possible to collect detailed energy consumption data. Creating various opportunities to both consumers, electricity utilities and governors to promote a more efficient power grid. Therefore, this work aims to analyze this data and find energy consumption patterns, through clustering, and being able to determine clients’ profile, through classification models. Finally, with such tools, it aims to evaluate photovoltaic distributed generation projects feasibility under Brazilian regulation.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126276012","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":"CO2 Catcher: A Platform for Monitoring of Vehicular Pollution in Smart Cities","authors":"Julio Oliveira, J. Lemos, Elton Vieira, I. Silva, Joilson Abrantes, Danilo Barros, G. Daniel Costa","doi":"10.1109/S3C.2017.8501380","DOIUrl":"https://doi.org/10.1109/S3C.2017.8501380","url":null,"abstract":"Traditionally, cities planning has followed reactive decision models based on the occurrence of problems. With the development and spread of communication and information technologies, the interconnection of electronic devices has opened a new era of data exchanging and processing, potentially supporting more efficient decisions in modern cities. This paper then proposes a framework, referred as CO2 Catcher, which aims tosupport more proactive planning and management of modern cities, addressing the problem of vehicular pollution monitoring. For that, a crowdsensing approach and the OBD-II standard are exploited to dynamically extract data from vehicles to be processed and delivered. Such real-time processing will not only allow cost-effective monitoring of air quality in cities, but also to indirectly assess traffic conditions.","PeriodicalId":112014,"journal":{"name":"2017 IEEE First Summer School on Smart Cities (S3C)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129549327","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}