A Vision of IoT: Applications, Challenges, and Opportunities with Dehradun Perspective

Mukherjee, Mainak; Adhikary, Isha; Mondal, Surajit; Mondal, Amit Kumar; Pundir, Meenakshi; Chowdary, Vinay

doi:10.1007/978-981-10-1708-7_63

Cited by 18 publications

(10 citation statements)

References 4 publications

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“…However, today's definition is broader, as it encompasses a range of applications such as health services, public services, transportation, etc Gubbi et al (2013). In addition, it is considered the new technological and economic wave (Mukherjee et al, 2017).…”

Section: Theoretical Reference Elements Of Digital Transformation: Iomentioning

confidence: 99%

Dynamic Capabilities and Their Relations with Elements of Digital Transformation in Portugal

Mendonça

Andrade²

2018

Journal of Information Systems Engineering & Management

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The objective of the article was to identify as relations between IoT, Big Data and Artificial Intelligence with the microfoundations of the dynamic capabilities. It was characterized as an exploratory, descriptive and inferential research, with a quantitative approach. In non-parametric tests (Chi-square / Spearman correlation), in Portuguese companies, totaling 137 respondents with valid questionnaires (only business and IT managers) were applied. It has been shown that as 3 technologies, IoT, Big Data and IA, in different proportions of performance, are large in the 3 microfoundations of our dynamic capabilities. The highlight was for the performance presented by Big Data in the Seising microfoundation. The highest correlations were observed for the Seising microfoundation, with emphasis on the strong correlation between IoT and Big Data and moderate correlations between Big Data and AI.

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Section: Theoretical Reference Elements Of Digital Transformation: Iomentioning

confidence: 99%

Dynamic Capabilities and Their Relations with Elements of Digital Transformation in Portugal

Mendonça

Andrade²

2018

Journal of Information Systems Engineering & Management

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“…The emergence IoT-based applications are revolutionizing the current concept of industry, transportation systems, energy grids, cities and society (Mukherjee et al 2017). To archive this transformation, many daily applications based on IoT require an efficient nodes position, and localization mechanism (Kumar and Lobiyal 2017;Bradai et al 2015).…”

Section: Computational Intelligence Applied In Localization Optimizatmentioning

confidence: 99%

Computational Intelligence for Simulating a LiDAR Sensor

Castaño

Beruvides

Villalonga

et al. 2019

Sensor Systems Simulations

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In this chapter, an overview of some of the most commonly Computational Intelligence techniques used to provide new capabilities to sensor networks in Cyber-Physical and Internet-of-Things environments, and for verifying and evaluating the reliability issues of sensor networks is presented. Nowadays, on-chip Light Detection and Ranging (LiDAR) concept has driven a great technological challenge into sensor networks application for Cyber-Physical and Internet-of-Things systems. Therefore, the modelling and simulation of a LiDAR sensor networks is also included in this chapter that is structured as follows. First, a brief description of the theoretical modelling of the mathematical principle of operation is outlined. Subsequently, a review of the state-of-art of Computational Intelligence techniques in sensor system simulations is explained. Likewise, a use case of applying computational intelligence techniques to LiDAR sensor networks in a Cyber-Physical System environment is presented. In this use case, a model library with four specific Artificial Intelligence-based methods is also designed based on sensory information database provided by the LiDAR simulation. Some of them are multi-layer perceptron neural network, a self-organization map, a support vector machine and a k-nearest neighbours. The results demonstrate the suitability of using Computational Intelligence methods to increase the reliability of sensor networks when addressing the key challenges of safety and security in automotive applications.

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“…Embora hoje em dia a definição tem sido mais abrangente, engloba uma gama de aplicações, como serviços de saúde, serviços públicos, transporte, etc (Gubbi, Buyya, Marusic, & Palaniswami, 2013). Além de ser considerada a nova onda tecnológica e econômica (Mukherjee et al, 2017).…”

Section: Iot -Computação Em Nuvem E Internet Das Coisasunclassified

“…A detecção ubíqua permitida pelas tecnologias da rede de sensores sem fio (Wireless Sensor Network -WSN), perpassa várias áreas da vida moderna e permite a capacidade de medir, inferir e compreender indicadores ambientais, desde delicados indicadores ecológicos (recursos naturais) até ambientes urbanos. O desenvolvimento da IoT é um complexo processo de inovação tecnológica em larga escala que envolve vários elementos (Mukherjee et al, 2017).…”

Section: Iot -Computação Em Nuvem E Internet Das Coisasunclassified

“…Hoje várias pesquisas buscam definir campos de atuação da IoT, e surgem várias aplicações em áreas diferentes, tais como: indústria; agricultura; logística/ cadeira de suprimentos; transporte; proteção ambiental; segurança pública e privada; medicina, casa inteligente, energia e construção civil (Chan, 2015;Dijkman, Sprenkels, Peeters, & Janssen, 2015;Gubbi et al, 2013;Mukherjee et al, 2017). A IoT é uma tecnologia emergente capaz de influenciar o surgimento de novas capacidades nas organizações, fornecendo novos dados e os recursos computacionais necessários para a criação de aplicativos revolucionários e tornando a IoT mais operacional.…”

Section: Iot -Computação Em Nuvem E Internet Das Coisasunclassified

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Uso da IoT, Big Data e inteligência artificial nas capacidades dinâmicas

Mendonça

Andrade

Neto

2018

Pensamento Contemporâneo em Administração

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O objetivo do artigo foi descrever a utilização e importância de elementos da transformação digital (IoT, Big Data e Inteligência Artificial) como apoio aos processos das capacidades dinâmicas em organizações de uma capital brasileira. A pesquisa caracteriza-se como exploratória e descritiva, com abordagem quantitativa. Foram selecionados 53 questionários de gestores de negócio e TI. Foi identificado que na percepção de gestores de negócio e de TI os elementos da transformação digital, mesmo com a utilização relativamente baixa, principalmente da IoT e IA, com melhor destaque para Big Data, são avaliadas com importância, seja nos dias atuais, bem como na perspectiva até 2025, nos processos que envolvem as capacidades dinâmicas de analisar o ambiente (Sensing), aproveitar as oportunidades (Seizing) e gerir as ameaças e transformações (Managing Threats/Transforming). Com maior destaque do Big Data nos processos da capacidade dinâmica de aproveitar as oportunidades.

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A Vision of IoT: Applications, Challenges, and Opportunities with Dehradun Perspective

Cited by 18 publications

References 4 publications

Dynamic Capabilities and Their Relations with Elements of Digital Transformation in Portugal

Dynamic Capabilities and Their Relations with Elements of Digital Transformation in Portugal

Computational Intelligence for Simulating a LiDAR Sensor

Uso da IoT, Big Data e inteligência artificial nas capacidades dinâmicas

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