Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Smart City Ecosystem Opportunities: Perspectives and Challenges
In the past several years, Smart City has generated considerable attention as a relatively new computing model. Its accordance with social web and internet of things (IOT) standards also offers unique resources by using the intellect of human beings and the capacity to solve problems to improve relevant services and mechanisms. This paper explores the benefits and challenges of integrating persons into research engine operations—as smart agents—as part of the core position of internet and information search engines. The key objectives of the smart cities are to make policies more effective, to minimize waste and discomfort, to enhance social and economic quality and to increase social inclusion. In order to highlight the human role in machine systems, some of the fields are unique and related works are studied. Then the insights and problems are addressed through a review of emerging developments in the field of powerful search engines and an overview of current needs and requirements. As research on this subject is still at the beginning, this study is thought to be used as a guideline for potential studies on the subject. Present status and growth patterns are outlined in this regard by offering a common overview of the literature. Furthermore, numerous guidelines are provided to improve the applicability and reliability of the next generation of intelligent urban search engine. In fact, it is able to recognize the ways in which work processes are structured for important purposes, understanding the various aspects and challenges involved in the design progress of search engines. The focus of this analysis was the broader picture and possible issues of multi-powered search engines. It may be considered as a point of reference one of the first works on different aspects of the matter which provided a complete study.
Smart City Ecosystem Opportunities: Perspectives and Challenges
In the past several years, Smart City has generated considerable attention as a relatively new computing model. Its accordance with social web and internet of things (IOT) standards also offers unique resources by using the intellect of human beings and the capacity to solve problems to improve relevant services and mechanisms. This paper explores the benefits and challenges of integrating persons into research engine operations—as smart agents—as part of the core position of internet and information search engines. The key objectives of the smart cities are to make policies more effective, to minimize waste and discomfort, to enhance social and economic quality and to increase social inclusion. In order to highlight the human role in machine systems, some of the fields are unique and related works are studied. Then the insights and problems are addressed through a review of emerging developments in the field of powerful search engines and an overview of current needs and requirements. As research on this subject is still at the beginning, this study is thought to be used as a guideline for potential studies on the subject. Present status and growth patterns are outlined in this regard by offering a common overview of the literature. Furthermore, numerous guidelines are provided to improve the applicability and reliability of the next generation of intelligent urban search engine. In fact, it is able to recognize the ways in which work processes are structured for important purposes, understanding the various aspects and challenges involved in the design progress of search engines. The focus of this analysis was the broader picture and possible issues of multi-powered search engines. It may be considered as a point of reference one of the first works on different aspects of the matter which provided a complete study.
Smart City Ecosystem Opportunities: Perspectives and Challenges
Adv. Sciences, Technologies
Chakraborty, Chinmay (Herausgeber:in) / Lin, Jerry Chun-Wei (Herausgeber:in) / Alazab, Mamoun (Herausgeber:in) / John, F. Leo (Autor:in)
Data-Driven Mining, Learning and Analytics for Secured Smart Cities ; Kapitel: 9 ; 181-204
29.04.2021
24 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch