Smart home context awareness based on Smart and Innovative Cities

Vlachostergiou, Aggeliki; Stratogiannis, Georgios; Siolas, Georgios; Mylonas, Phivos

doi:10.1145/2797143.2797150

Cited by 8 publications

(5 citation statements)

References 22 publications

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“…To ensure trust and confidence in AIoT systems, more experiments with users are required to strengthen their confidence in the capture and representation of smartness [9]. Researchers have also proposed an ethical design for IoT, including the incorporation of user, usage, and context information through a unified semantic representation, driving an adaptation mechanism with the aim of providing personalized services and optimizing user experience [89].…”

Section: Ethics and Human-in-the-loopmentioning

confidence: 99%

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

Luzolo,

Elrawashdeh,

Outay

et al. 2024

Preprint

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A Multiagent System (MAS) refers to a network of agents collaborating to achieve same objective. This system comprises numerous individual programs or hardware components (agents) that are simpler to construct and manage. Additionally, these agents can dynamically and swiftly adapt to changes in their environment. The MAS proves advantageous in addressing intricate issues by employing the divide-and-conquer approach. It finds application in diverse fields where the emphasis is on distributed computing and control, enabling the development of resilient, adaptable, and scalable systems. The Multiagent System (MAS) is not a substitute or rival for Artificial Intelligence (AI) methods. Instead, AI techniques can be integrated within the agents to enhance their computational and decision-making capabilities. The diversity or uniformity of goals, actions, domain knowledge, sensor inputs, and outputs among the agents in the MAS can determine whether each agent is heterogeneous or homogeneous. The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologies that have long been applied to the development of smart systems. These systems cover various areas, such as smart cities, energy management, autonomous cars, etc. Intelligence, autonomy, and real-time monitoring are the fundamental elements that characterize these application areas. The convergence of artificial intelligence (AI) and IoT, known as AIOT, Allows those electronic devices to make intelligent, autonomous and more automatic decisions. This integration leverages the power of MAS to enable intelligent communication and collaboration among various entities, while IoT provides a vast network of interconnected sensors and devices that collect and transmit real-time data. On the other hand, AI algorithms process and analyze this data to derive valuable insights and make informed decisions. The authors devoted efforts on the critical analysis of AIOT research, highlighting specific areas with insufficient solutions and pointing out gaps for future advances. Essentially, the authors contribution is in the formulation of innovative research directions, outlining a clear guide for researchers and professionals in the expansion of knowledge in AIOT integration. Research results in a significant contribution to the continuous advance of the area, enriching the understanding of challenges and boosting the development of solutions and strategies in this technological convergence. Eleven research questions are considered at the beginning of the review, including typical research topics and application domains. From the SLR results the research directions are: (i) Development of a methodology that shows how to integrate the different applications independent of the scenarios that are deployed in. Additionally, elaboration of the tools used in the integration process; (ii) Deployment of an agent in a microprocessor; (iii) How to implement and connect Multi-agent systems (MAS) technology and Internet of Things (IoT) devices (processors, controllers, sensors, and actuators).

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Section: Ethics and Human-in-the-loopmentioning

confidence: 99%

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

Luzolo,

Elrawashdeh,

Outay

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…To ensure trust and confidence in AIoT systems, more experiments with users are required to strengthen their confidence in the capture and representation of smartness [16]. Researchers have also proposed an ethical design for IoT, including the incorporation of user, usage, and context information through a unified semantic representation, driving an adaptation mechanism with the aim of providing personalized services and optimizing user experience [97].…”

Section: Ethics and Human-in-the-loopmentioning

confidence: 99%

Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review

Luzolo

Galland

Elrawashdeh

et al. 2023

Preprint

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The Internet of Things (IoT) and Artificial Intelligence (AI) are two technologiesthat have long been applied to the development of smart systems. These systemscover various areas, such as smart cities, energy management, autonomous cars,etc. Intelligence, autonomy, and real-time monitoring are the fundamental ele-ments that characterize these application areas. The convergence of multi-agentsystems (MAS), IoT, and AI has opened up new possibilities for creating smarterbuildings and cities. This integration leverages the power of MAS to enable intelli-gent communication and collaboration among various entities, while IoT providesa vast network of interconnected sensors and devices that collect and transmitreal-time data. On the other hand, AI algorithms process and analyze this data toderive valuable insights and make informed decisions. Multi-agent systems tech-nology is one of the most used for the implementation of such intelligent systems.This article aims to focus on multi-agent systems, although it also covers otherrelated topics by carrying out a Systematic Literature Review (SLR) on relevantresearch works in the previous ten years. Eleven research questions are consideredat the beginning of the review, including typical research topics and applicationdomains. From the SLR results the research directions are: (i) Development ofa methodology that shows how to integrate the different applications indepen-dent of the scenarios that are deployed in. Additionally, elaboration of the toolsused in the integration process; (ii) Deployment of an agent in a microprocessor; (iii) How to implement and connect Multi-agent systems (MAS) technology andInternet of Things (IoT) devices (processors, controllers, sensors, and actuators).

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“…Fonte: Autor "adaptado de " Weiss, 2016. (Ahvenniemi, 2017), 'cidades inteligentes e humanas' (Oliveira, & Campolargo, 2015), 'cidades inteligentes e criativas' (Carta, 2014), 'cidades inteligentes e inclusivas' (Rebernik, 2017), 'cidades inteligentes e inovadoras' (Vlachostergiou, 2015), 'cidades inteligentes e resilientes' (Papa, 2015) Komninos et al, 2011;Trenosa & Gertner, 2012;Weise et al, 2012;Venter & Whitley, 2012;Chen, 2013;Dlodlo et al, 2012;Chen, Mao & Liu, 2014;Ivanus & Iovan, 2014;Jin et al, 2014;Kitchin, 2014 Página | 169 (continua) Tecnologia Autores Ivanus & Iovan, 2014;Kitchin, 2014;Longo, Roscia & Lazaroiu, 2014. Georreferenciamento AL-Hader, Rodzi, 2009Batagan, 2012;Frenchman, Joroff & Albericci, 2011;Cretu, 2012;Dlodlo et al, 2012;Doran & Daniel, 2014;Kitchin, 2014;Longo, Roscia & Lazaroiu, 2014;Shelton, Poorthuis & Zook, 2015.…”

Section: Figuras 1: Dimensões Para Aplicação De Tecnologias Para Cidaunclassified

Cidades Inteligentes: Uma Visão Sobre a Agenda De Pesquisas Em Tecnologia Da Informação

Weiss¹

2019

Revista Gestão e Inovação

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Resumo:Cidades inteligentes é um tema onde a academia tem papel de destaque na determinação de novas tecnologias em Tecnologia da Informação e Comunicação (TIC) para se enfrentar os desafios da dinâmica urbana, provendo inovações e soluções tecnológicas que incrementem a gestão das cidades e que promovam melhorias na vida das pessoas e nas condições de operações das organizações. Esse trabalho tem por objetivo apresentar e discutir a agenda de pesquisas em TIC aplicáveis ao campo da gestão urbana com vistas à materialização das cidades inteligentes. Trata-se de uma pesquisa quantitativa baseada em levantamento realizado com 84 pesquisadores brasileiros e estrangeiros que atenderam à São Paulo School of Advanced Science on Smart Cities, em agosto de 2017. Os resultados mostraram que a agenda global de pesquisas está focada nas dimensões urbanas de mobilidade e serviços sociais por meio do emprego de tecnologias como big data, internet das coisas e inteligência artificial.Palavras-chave: Cidades inteligentes. Pesquisa em cidades inteligentes. TIC para gestão pública. TIC para cidades inteligentes. Abstract:Smart cities is a theme where the academy plays a strong role for determining new Information and Communication Technology (ICT) technologies to face the challenges brought by the urban dynamics, providing technological innovations and solutions that aim to increase efficiency of cities management and to promote improvements in people's lives and organizations operations. This paper aims to present and to discuss the research agenda in the Information and Communication Technology domains focused on the smart cities field. It is a quantitative research based on a survey completed by 84 Brazilian and foreign researchers who attended the São Paulo School of Advanced Science on Smart Cities, in Aug 2017. The results showed that the global research agenda has been focused on mobility and social services urban domains, thru the technologies such as big data, internet of things, artificial intelligence.Keywords: Smart cities. Smart cities research. ICT for public management. ICT for smart cities. IntroduçãoO atual fenômeno de crescimento e de envelhecimento das populações que vivem em cidades se conforma como um cenário de importantes desafios interpostos aos governos, particularmente a aqueles em nível municipal. Questões como mobilidade, segurança, saúde, educação, restrições ao uso de recursos naturais, poluição, desemprego (Batagan, 2011), entre outras, são questões que em maior ou menor escala se apresentam como importantes desafios a serem enfrentados nos próximos anos.Nesse cenário de enfrentamento aos substantivos problemas aos quais as cidades estão sujeitas, muita têm buscado se equipar com tecnologias da informação e comunicação (TIC) para que se tornem mais efetivas no provimento e gerenciamento das infraestruturas e dos serviços públicos (Washburn, 2011), para além de ampliar suas capacidades de

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Smart home context awareness based on Smart and Innovative Cities

Cited by 8 publications

References 22 publications

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

Combining Multi-Agent Systems and ArtificialIntelligence of Things: Technical Challenges andGains

Combining Multiagent Systems with IoT forSmarter Buildings and Cities: a literature review

Cidades Inteligentes: Uma Visão Sobre a Agenda De Pesquisas Em Tecnologia Da Informação

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