Sensing and Data-Driven Control for Smart Building and Smart City Systems

Stâmâtescu, Grigore; Făgărăşan, Ioana; Sachenko, Anatoly

doi:10.1155/2019/4528034

Cited by 9 publications

(5 citation statements)

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“…The smart label supports learning, technological development, and innovation in the city. It can be stated that every digital city is not necessarily intelligent, but every intelligent city has digital components, although it doesn't yet include the "people" component [24]. In "smart cities," cities are a mixed concept consisting of realities, physical entities, real residents, and virtual cities in parallel cyberspace.…”

Section: Nelson Et Al [238]mentioning

confidence: 99%

“…In "smart cities," cities are a mixed concept consisting of realities, physical entities, real residents, and virtual cities in parallel cyberspace. There is another term, "Universal City," which extends the digital city concept from the wide viewpoint of accessibility [22][23] [24]. It brings ubiquitous computing to the elements of cities around the world [25][26] [253].…”

Section: Nelson Et Al [238]mentioning

confidence: 99%

“…Stamatescu et al [24] discussed that the advancement of heavy network introduced sensor systems in checking and control applications, which has enabled the variety of data, information dealing with, decision, and incitation at in advance disguised transient, spatial objective and scale. The author expressed that the manufactured condition offers critical chances and difficulties for utilising such insightful sensor frameworks with substantial financial, ecological, and social advantages.…”

Section: Smart Energy Management System In Smart Homesmentioning

confidence: 99%

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A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

et al. 2022

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Smart City has been an emerging research domain for Government, Businesses, and researchers in the last few years. The Indian government is also interested and investing lots of funds to develop smart cities. These cities are technology-based and require interdisciplinary research and development for successful implementation. Over the last few decades, various technological interventions have created a tendency to provide smart everyday objects to make human life more comfortable. The emergence of the smart city paradigm is a response to creating a future city that guarantees the well-being and rights of its citizens from the perspective of industrial development: industry, urban planning, environment, and sustainable development. There are several subdomains in the smart city for the research. To work with the different subdomains in a smart city, proper guidance about the background of the smart city is required. This research paper is a guide for the same. This research paper represents a systematic literature review of the smart city domain. This paper carries out a systematic review of research papers published in various well-reputed journals like IEEE, Springer, Elsevier, etc., between 2011 and. This paper will help the government, businesses, and researchers aiming to enhance the smart city concept. Initially, this paper discusses the origin and emergence of this concept, followed by a few definitions and characteristics with the real roadmap and primary supporting pillars of the smart city. This paper discusses a typical architecture having different layers like Sensing, Transportation, Data Management, and Application Layers. There are various supporting technologies and platforms for the smart city; hence implementations are impossible without these technologies and media. This research paper discusses different components of the smart city. A broad literature survey is being done to observe various challenges, opportunities, and future trends in the smart city. This research paper can guide the researchers and provide the research direction in the smart city domain.

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Section: Nelson Et Al [238]mentioning

confidence: 99%

Section: Nelson Et Al [238]mentioning

confidence: 99%

Section: Smart Energy Management System In Smart Homesmentioning

confidence: 99%

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A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

et al. 2022

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“…For example, for medical decision support we need to determine the physical and psycho-emotional characteristics of the patient as well as the environmental indicators (indoor and outdoor air temperature, humidity, pressure, etc.). Other example is a smart city platform that consists of information about transport location, CO 2 level, energy consuming as well as information about health parameters of the citizens [27]. This means that streaming data are analyzed.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Missing Data Imputation in Big Data Interface

Wang

Shakhovska

Sachenko

et al. 2020

ITC

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The three-stage approach for missing data imputation in Big data interface is proposed in the paper. The first stage includes designing the Big data model in the task of missing data recovery, which enables to process the structured and semistructured data. The next stage is developing the method of missing data recovery based on functional dependencies and association rules. The estimating the algorithm complexity for missing data recovery is provided at the last stage. The proposed method of missing data recovery creates additional data values using a based domain and functional dependencies and adds these values in available training data. The performing the analysis of data different types is possible too. The correctness of the imputed values is verified on the classifier built on the original dataset. The proposed method performs in 12% better than the EM and RF methods for 30% missing data and enables the parallel execution in distributed databases. The acceleration for m=41 attributes is larger in 12.5 times for 20 servers (processors) comparing with the non-parallel modeю

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“…The use of this component is demonstrated to assist disadvantaged learners. Summing up the experience of constructing VES, we began developing a reference architecture known as Virtual Physical Space (ViPS) [4] that could be adapted to various CPSS-like applications such as a smart seaside city, a personal tourist guide [5,22], and education. Implementing a CPSS application, a major challenge is the virtualization of "things" from the physical world, which are of interest to us.…”

Section: Introductionmentioning

confidence: 99%

Ambinet – An Environment for Ambient-Oriented Modeling

Glushkova¹,

Stoyanov²,

Stoyanova-Doycheva³

et al. 2019

IJC

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The concept of the Internet of Things (IoT) is closely related to the concepts of Cyber-Physical System (CPS) and Cyber-Physical-Social System (CPSS). A key feature of these technologies is the integration of the virtual and physical world. In this paper, an environment for ambient-oriented modeling called AmbiNet is presented. The environment AmbiNet is implemented as a component of the reference architecture known as Virtual Physical Space (ViPS) that can be adapted for CPSS applications in various domains, for example a smart city, a personal touristic guide, or education. The need for virtualization of things from the physical world in a formal way is also considered. In the paper, the usability of the environment is demonstrated by modeling of services delivered to tourists in an intelligent city. The architecture of ViPS is also briefly described. Furthermore, the virtualization and modeling of spatial aspects through the AmbiNet formalism is demonstrated by an example.

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Sensing and Data-Driven Control for Smart Building and Smart City Systems

Cited by 9 publications

References 0 publications

A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

A Decade Review on Smart Cities: Paradigms, Challenges and Opportunities

A New Approach for Missing Data Imputation in Big Data Interface

Ambinet – An Environment for Ambient-Oriented Modeling

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