scholarly journals Methodological Proposals for the Development of Services in a Smart City: A Literature Review

2020 ◽  
Vol 12 (24) ◽  
pp. 10249
Author(s):  
Joel Serey ◽  
Luis Quezada ◽  
Miguel Alfaro ◽  
Guillermo Fuertes ◽  
Rodrigo Ternero ◽  
...  

This literature review analyzes and classifies methodological contributions that answer the different challenges faced by smart cities. This study identifies city services that require the use of artificial intelligence (AI); which they refer to as AI application areas. These areas are classified and evaluated, taking into account the five proposed domains (government, environment, urban settlements, social assistance, and economy). In this review, 168 relevant studies were identified that make methodological contributions to the development of smart cities and 66 AI application areas, along with the main challenges associated with their implementation. The review methodology was content analysis of scientific literature published between 2013 and 2020. The basic terminology of this study corresponds to AI, the internet of things, and smart cities. In total, 196 references were used. Finally, the methodologies that propose optimization frameworks and analytical frameworks, the type of conceptual research, the literature published in 2018, the urban settlement macro-categories, and the group city monitoring–smart electric grid, make the greater contributions.

2019 ◽  
Vol 38 (1) ◽  
pp. 165-179 ◽  
Author(s):  
Ying Ma ◽  
Kang Ping ◽  
Chen Wu ◽  
Long Chen ◽  
Hui Shi ◽  
...  

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.


Smart Cities ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 1276-1292
Author(s):  
Isam Shahrour ◽  
Xiongyao Xie

This paper presents and discusses the role of the Internet of Things (IoT) and crowdsourcing in constructing smart cities. The literature review shows an important and increasing concern of the scientific community for these three issues and their association as support for urban development. Based on an extensive literature review, the paper first presents the smart city concept, emphasizing smart city architecture and the role of data in smart city solutions. The second part presents the Internet of Things, focusing on IoT technology, the use of IoT in smart city applications, and security. Finally, the paper presents crowdsourcing with particular attention to mobile crowdsourcing and its role in smart cities. The paper shows that IoT and crowdsourcing have a crucial role in two fundamental layers of smart city applications, namely, the data collection and services layers. Since these two layers ensure the connection between the physical and digital worlds, they constitute the central pillars of smart city projects. The literature review also shows that the smart city development still requires stronger cooperation between the smart city technology-centered research, mainly based on the IoT, and the smart city citizens-centered research, mainly based on crowdsourcing. This cooperation could beneficiate in recent developments in the field of crowdsensing that combines IoT and crowdsourcing.


Res Medica ◽  
2017 ◽  
Vol 24 (1) ◽  
pp. 103-105
Author(s):  
Halimat Afolabi

From self-driving cars to smart cities, the internet of things (IOT) promises to revolutionise every aspect of our lives. IOT refers to any device that is able to collect and transmit data via the internet. The excitement surrounding the field is spurred by the marriage of IOT and artificial intelligence (AI), which will lead to ‘smarter’ and more personalised devices. IOT technology has already begun to infiltrate several industries and healthcare is no exception. In this essay I will outline existing and potential impacts of IOT technology in the delivery and training of surgery.


Author(s):  
Chandra Sekar B ◽  
Nikhil K S ◽  
Raju K N ◽  
Sanjay M ◽  
Chandrappa D N

The  Internet of Things(IoT)  has become a hot topic in the present tech-driven world. Internet of Things is one of the promising technology used to control objects connected to Internet through IP address, which enables objects to collect and exchange data. Internet of Things is expanding itself into different areas. Home Automation is one of the trend in application of IoT for realizing smart cities. In the paper, we are developing a system which will control through MQTT protocol. MQTT has been utilized as a platform to provide IoT services which will monitor the applications and generate alerts or take intelligent decisions using concept of IoT. Nodemcu was used as aIoT end device connecting relays to the platform via wifi channel. Home scenario is created and designed IoT messages satisfying the scenario requirement. We also implemented Automation through HTML web page. A main contribution of this paper is that it summarizes uses of Intenet of Things in Home Automation with Artificial Intelligence to monitor and control the appliances.


Computers ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 74 ◽  
Author(s):  
Shahrin Sadik ◽  
Mohiuddin Ahmed ◽  
Leslie F. Sikos ◽  
A. K. M. Najmul Islam

Cybersecurity issues constitute a key concern of today’s technology-based economies. Cybersecurity has become a core need for providing a sustainable and safe society to online users in cyberspace. Considering the rapid increase of technological implementations, it has turned into a global necessity in the attempt to adapt security countermeasures, whether direct or indirect, and prevent systems from cyberthreats. Identifying, characterizing, and classifying such threats and their sources is required for a sustainable cyber-ecosystem. This paper focuses on the cybersecurity of smart grids and the emerging trends such as using blockchain in the Internet of Things (IoT). The cybersecurity of emerging technologies such as smart cities is also discussed. In addition, associated solutions based on artificial intelligence and machine learning frameworks to prevent cyber-risks are also discussed. Our review will serve as a reference for policy-makers from the industry, government, and the cybersecurity research community.


2021 ◽  
Vol 13 (19) ◽  
pp. 10983
Author(s):  
Ke Wang ◽  
Yafei Zhao ◽  
Rajan Kumar Gangadhari ◽  
Zhixing Li

Smart cities play a vital role in the growth of a nation. In recent years, several countries have made huge investments in developing smart cities to offer sustainable living. However, there are some challenges to overcome in smart city development, such as traffic and transportation management, energy and water distribution and management, air quality and waste management monitoring, etc. The capabilities of the Internet of Things (IoT) and artificial intelligence (AI) can help to achieve some goals of smart cities, and there are proven examples from some cities like Singapore, Copenhagen, etc. However, the adoption of AI and the IoT in developing countries has some challenges. The analysis of challenges hindering the adoption of AI and the IoT are very limited. This study aims to fill this research gap by analyzing the causal relationships among the challenges in smart city development, and contains several parts that conclude the previous scholars’ work, as well as independent research and investigation, such as data collection and analysis based on DEMATEL. In this paper, we have reviewed the literature to extract key challenges for the adoption of AI and the IoT. These helped us to proceed with the investigation and analyze the adoption status. Therefore, using the PRISMA method, 10 challenges were identified from the literature review. Subsequently, determination of the causal inter-relationships among the key challenges based on expert opinions using DEMATEL is performed. This study explored the driving and dependent power of the challenges, and causal relationships between the barriers were established. The results of the study indicated that “lack of infrastructure (C1)”, ”insufficient funds (C2)”, “cybersecurity risks (C3)”, and “lack of trust in AI, IoT” are the causal factors that are slowing down the adoption of AI and IoT in smart city development. The inter-relationships between the various challenges are presented using a network relationship map, cause–effect diagram. The study’s findings can help regulatory bodies, policymakers, and researchers to make better decisions to overcome the challenges for developing sustainable smart cities.


Author(s):  
Elsa Estrada ◽  
Martha Patricia Martínez Vargas

Smart cities have been proposed as information technology strategies to generate solutions for the benefit of large cities to improve their quality of life, through phenomena identification tools that use artificial intelligence. Some work has been aimed at developing the infrastructure for monitoring events and the Internet of things, others merely on data analytics without an application system context. This work cites various investigations on data science processes of the smart cities and reports some of its works whose main topics are planning for the start of a smart city, the framework for the analysis of smart cities, and smart cities big data algorithms for sensors location. In these cases, the experiences in these cases are described as well as the trend towards a new process with the form of monitoring-analysis-evaluation-found pattern-driving object-decision-making and the future of smart cities is finally discussed.


Author(s):  
Rajeshwari M. ◽  
Krishna Prasad K.

The Internet of Things is an interrelated system of computer equipment, digital and mechanical machinery with unique identifiers, capable of transferring and relocating data over the Internet in the absence of human-to-computer involvement or without human-to-human interactions. The entire future of the global technology will swing around the Internet of Things, which is bound to connect a large quantity of SOs- Smart Objects, or articles or entities to transform the physical environment around us to a digital world. The application of IoT involves several domains like smart grids, smart farms, better healthcare, smart cities, smart homes, smart transportation system, smart parking and so on. The problem-solving and conceptual knowledge obtained in school is basically inert for several students. In certain situations, knowledge acquired remains surface bound features of problems, as learned from school classes and textbook presentations. The Cognitive computing process uses the available data to react to changes in order to make the right decisions based on specific learning processes from past experiences. In the case of cognitive apprenticeship process, there is a need to bring deliberately the thinking process and thoughts emerge, to produce them to be visible, whether in the case of writing, reading, or problem solving. The thoughts of the teacher must be completely visible to all the students, while the thinking of students must be clearly visible and readable to the teacher. The mental capabilities of students are developed through the cognitive skills that the students need to learn to be successful in school. To effectively understand, write, read, analyze, remember, think, and solve all the problems, the students of these cognitive skills should gather so as to function collectively and properly. If these skills become weak, the students will start to struggle, unable to face problems and solve them correctly. The new learning method makes the students observe, perform and practice the subjects from both the teachers and their peers. In view of this, this study of literature review investigates and explains the concept of IoT by conducting a systematic review and assessment of corporate and communal white papers, scholarly research articles, journals and papers, professional dialogues and discussions with researchers, academicians, scholars, educational experts along with online database available. Purpose and goal of this paper is to analytically categorize, and examine the prevailing research techniques and applications of IoT approaches on cognitive skills of students towards personalization in education. The limitation of the study is that it deals only with the subject matter's application components which leave physical components.


Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.


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