Search results for "Smart city"

showing 10 items of 167 documents

Towards the Improvement of Citizen Communication Through Computational Intelligence

2016

When dealing with problems that arise from collective sharing of resources in metropolitan areas (i.e., energy, pollution, traffic, health) most of the interaction between citizens and local governance is usually carried out through the use of natural languages. Digital technologies allows smart cities residents to communicate with a broad range of experts (e.g. bureaucrats, legislators, urbanists, etc.) that routinely use technical terminology seldom accessible to the layperson, or linguistic styles that are not immediately understandable. Although information technology should encourage citizen participation in governance at many levels, the different levels of knowledge possessed by the …

010302 applied physicsGovernmentKnowledge managementComputer sciencebusiness.industryCorporate governanceInformation technologyComputational intelligence010501 environmental sciences01 natural sciencesTerminologySmart city0103 physical sciencesComputational IntelligenceSocial exclusionbusinessNatural language0105 earth and related environmental sciences
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Edge-Based Missing Data Imputation in Large-Scale Environments

2021

Smart cities leverage large amounts of data acquired in the urban environment in the context of decision support tools. These tools enable monitoring the environment to improve the quality of services offered to citizens. The increasing diffusion of personal Internet of things devices capable of sensing the physical environment allows for low-cost solutions to acquire a large amount of information within the urban environment. On the one hand, the use of mobile and intermittent sensors implies new scenarios of large-scale data analysis

010504 meteorology & atmospheric sciencesComputer scienceDistributed computingUrban sensingMobile sensingContext (language use)Information technology02 engineering and technology01 natural sciences[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Smart cityEdge intelligence11. Sustainability0202 electrical engineering electronic engineering information engineeringLeverage (statistics)Edge computingVoronoi tessellation0105 earth and related environmental sciencesSmart cityOut-of-order executionSettore INF/01 - InformaticaMulti-agent systemMissing data imputation020206 networking & telecommunicationsT58.5-58.64Variety (cybernetics)Multi-agent system[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Mobile deviceInformation Systems
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Estimating Missing Information by Cluster Analysis and Normalized Convolution

2018

International audience; Smart city deals with the improvement of their citizens' quality of life. Numerous ad-hoc sensors need to be deployed to know humans' activities as well as the conditions in which these actions take place. Even if these sensors are cheaper and cheaper, their installation and maintenance cost increases rapidly with their number. We propose a methodology to limit the number of sensors to deploy by using a standard clustering technique and the normalized convolution to estimate environmental information whereas sensors are actually missing. In spite of its simplicity, our methodology lets us provide accurate assesses.

010504 meteorology & atmospheric sciencesComputer sciencemedia_common.quotation_subjectReal-time computingEnergy Engineering and Power Technology02 engineering and technologyIterative reconstructionsmart city dealsCluster (spacecraft)01 natural sciencesIndustrial and Manufacturing Engineeringnormalized convolutionstandard clustering technique[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]ConvolutionArtificial IntelligenceSmart city11. Sustainability0202 electrical engineering electronic engineering information engineeringLimit (mathematics)SimplicityCluster analysisInstrumentationad-hoc sensors0105 earth and related environmental sciencesmedia_commonSettore INF/01 - InformaticaRenewable Energy Sustainability and the EnvironmentComputer Science Applications1707 Computer Vision and Pattern Recognitionenvironmental informationmissing informationComputer Networks and CommunicationKernel (image processing)020201 artificial intelligence & image processingcluster analysis2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Image retrieval system for citizen services using penalized logistic regression models

2020

This paper describes a procedure to deal with large image collections obtained by smart city services based on interaction with citizens providing pictures. The semantic gap between the low-level image features and represented concepts and situations has been addressed using image retrieval techniques. A relevance feedback procedure is proposed for Content-Based Image Retrieval (CBIR) based on the modelling of user responses. One of the novelties of the proposal is that the feedback learning procedure can use the information that citizens themselves can provide when using these services.The proposed algorithm considers the probability of an image belonging to the set of those sought by the …

020203 distributed computingInformation retrievalComputer scienceRelevance feedback02 engineering and technologyLogistic regressionImage (mathematics)Set (abstract data type)Smart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHigh dimensionalityImage retrievalSemantic gapProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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5G IoT system for real-time psycho-acoustic soundscape monitoring in smart cities

2020

In Next-Generation Technologies, the monitoring of environmental noise nuisance in the Smart City should be as efficient as possible. 5G IoT systems offer a great opportunity to offload the node calculation, as they provide a number of new concepts for dynamic computing that previous technologies did not offer. In this case, a complete 5G IoT system for psycho-acoustic monitoring has been implemented using different options to offload the calculation of the parameters to different parts of the system. This offloading has been implemented by directly computing the metrics in the node (as a Raspberry Pi), and in a ESP32 device (FiPy) and by sampling the audio and sending it to the EDGE in the…

020203 distributed computingSoundscapeComputer sciencebusiness.industryNode (networking)Real-time computingSampling (statistics)02 engineering and technologySmart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEnhanced Data Rates for GSM EvolutionEnvironmental noiseInternet of Thingsbusiness5GProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Smart Urban Energy Districts and Energy Policies

2018

The deployment of smart cities appears a strategic factor for reducing environmental impact and increasing competitivity of economic systems across the world. Although terminology is similar worldwide, the different political assets and social enviroments largely affect the development models. Drivers indeed are quite different, such as the speed at which transformations take place. As a result, implementation of measures is carried out differently and realizations of smart city projects can be strongly different. Europe, China and U.S.A. approaches are compared in this paper to provide the reader with a broader view about different smart city implementations, with a focus on the electricit…

020209 energymedia_common.quotation_subject02 engineering and technologyEnvironmental economicsEnergy policyTerminologyDevelopment planSoftware deploymentSmart city0202 electrical engineering electronic engineering information engineeringEnvironmental impact assessmentBusinessBureaucracyImplementationmedia_common2018 IEEE Green Technologies Conference (GreenTech)
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Designing Cognitive Cities

2018

The following text intends to give an introduction into some of the basic ideas which determined the conception of this book. Thus, the first part of this article introduces the terms “City”, “Smart City” and “Cognitive City”. The second part gives an overview of design theories and approaches such as Action Design Research and Ontological Design (a concept in-the-making), in order to deduce from a theoretical point of view some of the principles that needs to be taken into account when designing the Cognitive City. The third part highlights some concrete techniques that can be usefully applied to the problem of citizen communication for Cognitive Cities (namely Metaheuristics, Fuzzy Sets a…

0209 industrial biotechnologyPoint (typography)Settore INF/01 - InformaticaComputer scienceManagement scienceFuzzy setCognitionComputational intelligence02 engineering and technologySettore MAT/01 - Logica MatematicaFuzzy logic020901 industrial engineering & automationSmart CitiesOrder (exchange)Smart city0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMetaheuristic
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A Meta-Model for Intelligent Engineering Design of Complex City

2019

A city is a complex system, requiring the input of multiple disciplines for its (re)design. It shares some properties of two kinds of objects: empirical objects as well as theoretical objects. As city emerges as a complex object for multi-disciplinary studies, it is of the highest importance to adopt a systemic and global approach in order to bring new knowledge to this field. To master the growing complexity of cities and to consider in the same spot heterogeneous ways of thinking of city, we need intellectual tools and models. The goal of this paper is to propose a model for describing engineering modelling knowledge with relationships and transformations between four domains: (1) citizen…

0209 industrial biotechnologyProcess (engineering)Computer scienceInterpretation (philosophy)0211 other engineering and technologiesComplex system02 engineering and technologyObject (computer science)Data scienceField (computer science)Metamodeling[SHS]Humanities and Social Sciences020901 industrial engineering & automationSmart city11. SustainabilityEngineering design processComputingMilieux_MISCELLANEOUS021106 design practice & management
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Fujisawa Sustainable Smart Town: Panasonic’s Challenge in Building a Sustainable Society

2018

05 social sciencesService management02 engineering and technologyEnvironmental economicsBusiness modelSustainable societySmart city0502 economics and businessValue (economics)Sustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBusiness050203 business & managementInformation SystemsCommunications of the Association for Information Systems
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Institutions and Innovation as Driving Forces Towards a Smart City and Sustainable Territorial Development

2018

The aim of the chapter is the analysis of innovation and institution as key-elements for reaching a higher social welfare and for improving environmental quality. To determine a social optimum or a Pareto improvement, we consider the interaction between institution and firm in the short and in the medium/long run. Using a static comparative analysis, the interaction of these two agents, institution and market, is examined. Within the market an entrant and an incumbent firm are present, and the entrant firm radically innovates. Even if in the short run results show that the market alone is able to realize a Pareto improvement, an institution action through an innovation adoption is a prefera…

050208 financeShort runCompetitivenemedia_common.quotation_subjectInstitution05 social sciencesPareto principleSmart and sustainable developmentSocial WelfareAction (philosophy)Smart city0502 economics and businessInstitutionQuality (business)BusinessInnovation050203 business & managementEnvironmental qualityIndustrial organizationmedia_common
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