Performance of Smart Cities Concerning the Use of Internet of Things: A Case Study of Four Indian Himalayan Cities

2020 ◽  
pp. 257-280
Author(s):  
Mahfuzuar Rahman Barbhuiya ◽  
Navneet Munoth ◽  
Ranjeet Singh Rajput
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Use Of Internet

How Can Industrial Internet of Things (IIoT) Improve Enterprise Productivity?

2020 ◽  
pp. 112-133
Author(s):  
Erdinç Koç
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Detailed Knowledge ◽  
Healthcare Industry ◽  
Industrial Internet Of Things ◽  
Time Consumption ◽  
Industrial Internet ◽  
Smart Cars ◽  
Industrial Part

This chapter gives brief information about internet of things (IoT) and then detailed knowledge of industrial internet of things (IIoT). Internet of things applications can be seen in different areas, such as smart cars, smart homes, smart cities, agriculture, healthcare, industry, etc. This study focuses on the industrial part. Industrial internet of things (IIoT) means internet of things (IoT) applications for industrial usage. IIoT give a chance to enterprise for tracking supply chains, monitoring production line operations, and real-time consumption of energy, managing stock, and transportation decisions. This study used case study method for developing theory about IIoT's contribution to enterprise productivity. IIoT applications can be adapted to which operations of the enterprise, and how it will contribute to enterprise productivity is explained in this chapter. The chapter discusses the projects that are within the vision of IIoT but not yet implemented and concludes with suggestions for future studies.

Internet of Things: applications and challenges in smart cities. A case study of IBM smart city projects.

2016 ◽  
Vol 22 (2) ◽  
Author(s):  
Veronica Scuotto ◽  
Alberto Ferraris ◽  
Stefano Bresciani
Keyword(s):  
Internet Of Things ◽  
Information And Communication Technologies ◽  
Open Innovation ◽  
Smart City ◽  
Design Methodology ◽  
Smart Cities ◽  
Multinational Firm ◽  
Case Study Methodology ◽  
Practical Implications

Purpose An empirical testing on IBM Smart Cities projects was applied so as to demonstrate that the combination between the use of IoT and the implementation of the Open Innovation (OI) model within smart cities which has been changed the development of urban areas and effected firms’ innovativeness. Design/methodology/approach A case study methodology on a leading multinational firms deeply involved in smart cities projects has been chosen. Findings From this study it emerged how IBM: a) has a clear vision of Smart Cities and IoT; b) adopt a worldwide OI approach to Smart Cities; c) delineate specific strategies and create Open Innovation Units ad hoc for Smart Cities' Projects. Research limitations/implications The major limitation of this work is that the analysis presented has been developed only on one case of multinational firm that operate in Smart Cities contexts. Practical implications Recommendations will be made both to public and private actor in order to plan and implement efficient strategies to improve their performances. Originality/value The concept of smart city has become quite popular between scholars and practitioners in the era of digital economy. Cities become smart developing new urban area using new Information and Communication Technologies (ICTs) such as mobile devices, the semantic web, cloud computing, and the internet of things (IoT). Smart cities make innovation ecosystem, joining together different forces like knowledge–intensive activities, institutions for cooperation and learning, and web–based applications collective intelligence. This research is of importance and significance to scholars, government, and firms who need to understand the relevance of smart cities in the current economy.

Artificial Intelligence powered Internet of Things and smart public service

2019 ◽  
Vol 38 (1) ◽  
pp. 165-179 ◽  
Author(s):  
Ying Ma ◽  
Kang Ping ◽  
Chen Wu ◽  
Long Chen ◽  
Hui Shi ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Public Service ◽  
Smart Cities ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Content Type ◽  
Academic Fields ◽  
The Internet Of Things

Purpose The Internet of Things (IoT) has attracted a lot of attention in both industrial and academic fields for recent years. Artificial intelligence (AI) has developed rapidly in recent years as well. AI naturally combines with the Internet of Things in various ways, enabling big data applications, machine learning algorithms, deep learning, knowledge discovery, neural networks and other technologies. The purpose of this paper is to provide state of the art in AI powered IoT and study smart public services in China. Design/methodology/approach This paper reviewed the articles published on AI powered IoT from 2009 to 2018. Case study as a research method has been chosen. Findings The AI powered IoT has been found in the areas of smart cities, healthcare, intelligent manufacturing and so on. First, this study summarizes recent research on AI powered IoT systematically; and second, this study identifies key research topics related to the field and real-world applications. Originality/value This research is of importance and significance to both industrial and academic fields researchers who need to understand the current and future development of intelligence in IoT. To the best of authors’ knowledge, this is the first study to review the literature on AI powered IoT from 2009 to 2018. This is also the first literature review on AI powered IoT with a case study of smart public service in China.

scholarly journals Role of Blockchain in the Internet-of-Things (Iot)

2018 ◽  
Vol 7 (2.24) ◽  
pp. 109 ◽  
Author(s):  
Bragadeesh S A ◽  
A Umamakeswari
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Communication Technologies ◽  
Management Control ◽  
Cognitive Computing ◽  
Cloud Infrastructure ◽  
Embedded Devices ◽  
Distributed Approach

The proliferation of Internet of Things (IoT) has brought about a myriad of applications to life which range from smart homes, smart energy, smart buildings, smart cities to almost smart everything. This has been made possible by fully exploiting the services of cloud infrastructure, communication technologies, improved sensing devices and advancements in embedded devices which helps in incorporating intelligence even on tiniest of chips. Blockchain is a decentralised distributed approach that can facilitate management, control and also provide security. The application of blockchain is not restricted to cryptocurrency and security. It is perceived that Blockchain in Convergence with Artificial Intelligence, Cognitive Computing and Mobile Edge Computing can provide numerous prospects for framing solutions for IoT. Any application or system which deploys a IoT network can make use of Blockchain to achieve simplicity, transparency, security and cost efficiency. This paper tries to identify some key areas in which Blockchain can be used to exploit the IoT infrastructure and overcome the challenges faced. Few possible application domains in which blockchain can revolutionize the outcomes have been highlighted. A real-time case study in which Blockchain has been used to provide valuable benefits is discussed.  

scholarly journals IMPLEMENTING SMART CITY STRATEGIES AS AN INNOVATIVE PRACTICE FOR COVID-19 PANDEMIC IN EGYPTIAN CONTEXT

2021 ◽  
Vol XLVI-4/W5-2021 ◽  
pp. 361-368
Author(s):  
S. Magdy Mohamed ◽  
D. Moati ◽  
M. A. Elsayed
Keyword(s):  
Economic Growth ◽  
Internet Of Things ◽  
Urban Design ◽  
Smart City ◽  
Growth And Development ◽  
Smart Cities ◽  
City Development ◽  
Economic Growth And Development ◽  
Advanced Technologies

Abstract. Pandemics have always shaped cities throughout history, and numerous health challenges have been reflected in architecture and urban design. Today, the globe is dealing with a COVID-19 pandemic, which is maybe the worst in history. Coronavirus (COVID-19)sparks a critical debate about how to use smart technology's concepts and insights to urban planning and architecture. As a result of the recent pandemic, this commentary sheds light on considerations and challenges in the area of knowledge in these fields. As a result, it is now more vital than ever for policymakers at the local, regional, and national levels to begin developing smart city and Internet of Things plans. The Smart Cities Mission is a government-led project to promote economic growth and development across four strategic planning pillars: city improvement, city rehabilitation, city extension (Greenfield development), and pan-city development. This study discusses numerous obstacles and constraints in three categories: technical, socioeconomic, and environmental. This paper intends to investigate the feasibility of applying technology in an existing city and transforming it into a smart city using the most advanced technologies, as well as smart strategies and automated judgments; the research uses the 10th of Ramadan city as a case study. In addition, the predicted outcome of this article is the implementation of smart city policies as a best practise for the COVID-19 pandemic in Egypt. Finally, it is predicted that more cities would use technology into their strategy in the future.

scholarly journals Estudo da adoção de internet of things no plantio de hortaliças

2021 ◽  
Author(s):  
◽  
A. V. D. Silva
Keyword(s):  
Knowledge Management ◽  
Internet Of Things ◽  
Unified Theory ◽  
Adoption Of Technology ◽  
Management Level ◽  
Barriers And Enablers ◽  
Use Of Technology ◽  
Agricultural Producer ◽  
Use Of Internet

Given the scenario of modernization of agriculture and the increase in studies on the use of Internet of things, there was a need for research on both subjects. The present work focuses on understanding the barriers and enablers of adoption IoT in planting vegetables ­ type of culture that has been less deepened in the literature ­through a theoretical framework that aggregates constructs of models of adoption of technology of individual and organizational character, synthesizing the behavioral, technological, organizational and environmental factors in the context of the agricultural producer, supported by the TOE (Technology­Organization­Environment) and UTAUT (Unified Theory of Acceptance and Use of Technology) models. The research is qualitative with a case study by producers, specialists and suppliers. The results inform that the size, knowledge, management level and investment power of the producer impact the adoption of Internet of Things

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