Smart Space Concepts, Properties and Architectures

Bhardwaj,; Özçelebi, Tanır; Lukkien, Johan J.; Lee, Keon Myung

doi:10.1109/access.2018.2880794

Cited by 7 publications

(7 citation statements)

References 73 publications

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“…Some previous studies started with smart spaces, and they have focused on defining the concept of smart spaces and their architectures (Bhardwaj et al 2018). In particular, a significant amount of research is being conducted to identify the characteristics of smart spaces and establish a strategy for effectively implementing smart cities (Bhardwaj et al, 2018, Camero & Alba, 2019Dameri et al, 2019). Since smart cities are the primary channels for harmonizing the behavior of people with spaces and exploiting cutting-edge information and communication technology (ICT), a potential research stream could be the area of behavior modeling and information systems for smart cities.…”

Section: Smart City: Interdisciplinary Testbed For Urban Problem Solvingmentioning

confidence: 99%

Analyzing the Evolution of Interdisciplinary Areas

Lee

2022

Journal of Global Information Management

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Recently, various new areas of research have been of great interest to researchers. As these areas are highly based on academic and industrial needs, it is necessary to examine the change and evolution in research. This study proposed a framework for identifying emerging areas and their evolution. The proposed framework suggests that latent Dirichlet allocation is applied to identify emerging topics and their networks in such interdisciplinary areas. The simulation for empirical network analysis was then applied to the identified topic networks to terminate continuous evolution. The proposed framework is applied to a smart city, which is one of the most interdisciplinary and fast-evolving areas. These findings indicate that the evolution of smart transportation and smart grids is likely to be the focus. The findings also indicate that newly emerging research may lack openness and diversity. This study contributes to further investigate research trends and planning research strategies for new and interdisciplinary areas.

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Section: Smart City: Interdisciplinary Testbed For Urban Problem Solvingmentioning

confidence: 99%

Analyzing the Evolution of Interdisciplinary Areas

Lee

2022

Journal of Global Information Management

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“…Virtual environments equipped with powerful decision-making functions and software could be classified as intelligent or smart environments [ 5 , 6 , 7 ]. This term can also be defined as a smart space [ 8 ]. HMI largely depend on the quality of electronic skin [ 9 , 10 ], gesture recognizing [ 11 ], and electronic tactile [ 12 ] sensors.…”

Section: Introductionmentioning

confidence: 99%

Data-Centric Architecture for Self-Driving Laboratories with Autonomous Discovery of New Nanomaterials

et al. 2021

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Artificial intelligence (AI) approaches continue to spread in almost every research and technology branch. However, a simple adaptation of AI methods and algorithms successfully exploited in one area to another field may face unexpected problems. Accelerating the discovery of new functional materials in chemical self-driving laboratories has an essential dependence on previous experimenters’ experience. Self-driving laboratories help automate and intellectualize processes involved in discovering nanomaterials with required parameters that are difficult to transfer to AI-driven systems straightforwardly. It is not easy to find a suitable design method for self-driving laboratory implementation. In this case, the most appropriate way to implement is by creating and customizing a specific adaptive digital-centric automated laboratory with a data fusion approach that can reproduce a real experimenter’s behavior. This paper analyzes the workflow of autonomous experimentation in the self-driving laboratory and distinguishes the core structure of such a laboratory, including sensing technologies. We propose a novel data-centric research strategy and multilevel data flow architecture for self-driving laboratories with the autonomous discovery of new functional nanomaterials.

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“…Naúltima década, o conceito de espaços inteligentes (smart spaces) se consolidou na literatura, apesar de existirem diferentes definições para esse conceito [Bhardwaj et al 2018]. De maneira geral, um espaço inteligente pode ser considerado como um ambiente, equipado com uma rede de sensores como câmeras, microfones e outros sensores, capazes de adquirir informação do ambiente, e atuadores como robôs e outros dispositivos, aptos a atuar sobre o meio.…”

Section: Introductionunclassified

Proposta de um Ambiente Interacional baseado em um Espaço Inteligente Programável

Custodio¹,

Queiroz²,

Almonfrey³

et al. 2020

Anais Do Simpósio Brasileiro De Computação Ubíqua E Pervasiva (SBCUP 2020)

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Nos últimos anos, a criação de espaços inteligentes tem sido o foco de muitos trabalhos. Uma das funcionalidades que se busca em alguns desses ambientes é a interação com usuários. Nesse sentido, esse trabalho propõe um Ambiente Interacional baseado em um Espaço Inteligente Programável, que garante flexibilidade e escalabilidade ao sistema. Assim, neste artigo alguns serviços essenciais, como detecção 2D e localização 3D de esqueletos, para suportar outros mais complexos, são desenvolvidos e testados. Para validação do ambiente proposto, uma aplicação que usa todos os serviços aqui apresentados é executada e avaliada.

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Smart Space Concepts, Properties and Architectures

Cited by 7 publications

References 73 publications

Analyzing the Evolution of Interdisciplinary Areas

Analyzing the Evolution of Interdisciplinary Areas

Data-Centric Architecture for Self-Driving Laboratories with Autonomous Discovery of New Nanomaterials

Proposta de um Ambiente Interacional baseado em um Espaço Inteligente Programável

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