Smart City Characteristics Research Articles

Image sensor fusion for multimodal biometric recognition in mobile devices

AimMultimodal biometric recognition authenticates or identifies someone using various biometric features or modalities. Multimodal biometric systems use different biometric qualities to improve the recognition process's accuracy, security, and reliability rather than depending solely on one biometric property, such as fingerprint or facial recognition. Sensor fusion techniques can merge data from several biometric sensors, including fingerprint scanners and facial recognition cameras, to boost the accuracy and dependability of biometric authentication in the context of multimodal biometric recognition in mobile devices. The process of combining data from numerous image sensors to enhance a system's overall performance is known as image sensor fusion. ChallengesChallenges includeintegration difficulties in achieving accurate and secure multimodal biometric recognition on mobile devices. The study goal was Image sensor fusion for multimodal biometric recognition in mobile devices. MethodologyThe study uses a specially made database of 450 face photos roughly 450 fingerprints.Weiner filter (WF) is used for preparing data. Battle Royale optimized with deep convolutional neural network (BRO-DCNN) is proposed to improve the overall performance of fingerprint and facial information. FindingsAccuracy, sensitivity, specificity, and precision are used to measure the effectiveness of the proposed BRO-DCNN system. Study results show that BRO-MLANN solves the many characteristics of smart cities and is an efficient approach compared to other current methods in recognition rate, 98 % accuracy, 99 % precision, 96 % specificity, and 94 % sensitivity.

Adaptive-DMPC based energy management and pre-installation techno-economic analysis of a grid-tied cyber-physical community microgrid

The trends for creating smart cities is increasing as it gives assurance of high-quality living standards, however, converting an existing city into a smart one needs more time, investments and is highly tedious. Another concept of community based sustainable living that can be installed in and around outskirts of any city. All the features of smart cities can be brought in by most economical, sustainable, and environmental friendly way. A cyber-physical Community Microgrid (CMG) can have various loads such as heating, cooling, security and lighting purposes. The dependency on grid supply can be reduced by using renewable sources of electricity. Solar water heaters and biogas plant can take care of heating loads. Handling uncertainties in generation, time-varying load scenarios, and dynamics of supply grid are crucial for smooth operation of cyber-physical CMG. In this work, an Energy Management Strategy (EMS) for CMG is proposed using an adaptive Distributed Model Predictive Control (DMPC) that improves scalability with modular architecture, allow enhanced flexibility and adaptability, robustness and reliability, enhanced optimization and predictive capabilities. All possible intermittencies types due to renewables, time-variable demand profiles, smooth charging/discharging cycles and longevity of storage batteries, curtailing of noncritical loads, and dynamic price of grid consumption are applied. Further, use of EMS outcomes is done to develop pre-installation techno-economic analysis for establishing a CMG with optimal component sizing. The given DMPC scheme for CMG is verified by conducting comprehensive test case studies over 24 hrs interval on the Matlab/Simulink and hardware-in-loop testing.

Real coded genetic algorithm in operational optimization of a district cooling system: An inceptive applicability assessment and power saving evaluation

District Cooling Systems are progressively becoming a standard feature of smart cities. This is attributed to their inherent feature of low operating cost and high energy efficiency. Given the constantly increasing energy prices worldwide and the target of the Conference of the Parties-28th Session for reducing emissions, the District Cooling System technology is quite promising in this direction. Various studies are available that have particularly focused on the design phase optimization of the systems, while in-process operational optimization is still in its miniature phase. This paper presents a model-based metaheuristic optimization approach to cooling water system towards an inceptive control strategy to explore and exploit the energy-saving potential using a Real Coded Genetic Algorithm. The Algorithm is implemented in MATLAB to search for high-performance settings in real-time scenarios. The results showed that an energy saving from 9.66% to 26.54% can be obtained across 6 cases in the study, compared to the supervisory control. Practical application District cooling technology is expected to gain more credibility as the most sustainable alternative to air conditioning in the upcoming decades due to the world’s rapidly expanding need for cooling combined with the need to reduce carbon dioxide emissions. The current research and development efforts are yielding promising results for the fifth generation of this technology. Meanwhile, the study validates the enormous potential of operational optimization with contemporary artificial intelligence tools. This paper paves the way for future research by showing how the operation of a large-scale district cooling plant can be solved for energy saving.

How smart and sustainable are the cities in Turkiye? - National policies and the enthusiasm level of the local governments

In the past decade, the importance of the smart city applications has gained popularity by the city governments to use their resources in an efficient and effective way, present better services and quality of life for their residents, make their cities more competitive, provide better disaster management. As the world has experienced crisis such as energy and grain in the recent past due to the COVID-19 pandemic and the war between Russia and Ukraine, the management of the resources has become more important for the countries and local governments, as well. In this study national government plans of Turkiye, such as Eleventh Development Plan and 2020–2023 National Strategy and Action Plan for Smart Cities, have been addressed as reference documents and the actions of some city governments, including the most populous city, Istanbul and the capital, Ankara, have been examined with the purpose of determining the level of smart city willingness. This study peruses the degree of enthusiasm of the local governments to become smart and maintain sustainable city services considering the main smart city characteristics. Based on the information gathered concerning the selected cities, it has been observed that the cities having populations quite lower than the great metropolitans such as Istanbul and Ankara are more enthusiastic and successful to provide services for their citizens that can be associated with the smart city concept.

Deepfake at Star Isle Real Estate Group

This paper is a teaching case based on a fictitious company inspired by the actual experiences of employees working at a UK-based engineering group intended for use in information systems or business courses at the undergraduate or graduate level. In this teaching case, students are introduced to Star Isle Real Estate Group, Inc. (“Star Isle”), a fictitious American real estate investment, development, and management company developing a planned community named Spiral Galaxy with smart city features. The teaching case provides the opportunity for students to explore real-time video deepfakes.

EXPLORING SMART CITY CHARACTERISTICS FOR “TOURISM-FOR-ALL” INITIATIVES IN URBAN DEVELOPMENT: A SYSTEMATIC LITERATURE REVIEW

The study presents a systematic literature review conducted following a rigorous search protocol that identified 7900 articles published in SCOPUS-indexed journals in 2001-2021. These articles were filtered using the PRISMA approach, resulting in the selection of 61 relevant papers. The research outcome offers essential insights into the core characteristics of smart cities in urban development, encompassing five primary dimensions: government, citizens, technology, mobility, and the environment, over the past two decades. The findings of this study benefit smart city stakeholders, recommends using the “Tourism-For-All” destination concept in urban development, and contributes to the emerging “Purple Tourism” framework.

Datafication in Smart Cities: Understanding how the Public Experience Urban Environments

Datafication has become a prominent feature of smart cities, where sensors, monitoring devices, and AI are being integrated with city infrastructures and facilities, resulting in rapidly changing urban areas informed by data-driven decision-making processes. Although there is a vast amount of data being generated about urban environments and citizens, research on understanding citizens’ social experience in smart cities has been limited. This study proposes a three-stage research design that provides datafication solutions to understand citizens’ experience of urban environment in a synergistic manner. We employ a mixed methods approach drawing upon multiple data collected by the researcher, from the citizens, and sourced across smart cities open data platforms. It is designed to undertake a place-based and citizen-centric approach to understand the lived social experiences of citizens in urban environments. This work will contribute to our current understanding in developing socially sustainable smart cities, providing methodological insights for future research on how datafication process can be leveraged to improve quality of urban life.

The relevance of smart cities’ features in exploring urban labour market resilience: the specificity of post-transition economies

ABSTRACT This paper assesses the relationship between the urban labour market’s resilience and urban smartness for the European Union’s metropolitan areas in Central and Eastern Europe. The urban labour market’s resilience is evaluated by building an aggregate indicator using five variables that measure the specific characteristics of a labour market for post-transition economies, while 32 relevant characteristics of smart cities are used in assessing urban smartness for these economies. The results show that the characteristics considered to define a smart city are associated with resilient urban labour markets, particularly for metropolitan regions that surround capital cities.

The Smart City and Healthy Walking: An Environmental Comparison Between Healthy and the Shortest Route Choices

Walking is a means of health promotion, which is one of the main features of smart cities. A smart city’s built environment can help people choose a healthy walking route instead of the shortest one. Our study investigated which environmental factors pedestrians who select healthy routes prefer and favored environmental factors in pedestrian navigation mobile applications. Survey data were collected from 164 residents in Daegu, South Korea, from October 12 to October 25, 2022. <em>t</em> and chi-square tests were used to compare perceptual differences between the healthy route and the shortest route preference groups. The results indicate that 56.7% of respondents preferred a healthy walking route over the shortest route. Pedestrians who chose the healthy route preferred to have less noise and more greenery along their commute and feel safer from traffic accidents and crimes than those who chose the shortest route. Moreover, people who favored healthy routes also considered the following environmental factors in pedestrian navigation mobile applications: (a) greenery and waterfront areas, (b) low traffic volume, and (c) safety from traffic accidents and crimes. The results suggest that urban planning and design policies support healthier and more active walking in smart cities.

Međunarodna praksa i modeli u primeni koncepta "pametni grad" i održivo društvo

This concept is a standard in urban planning and transformation of services (transport, healthcare, education, security, ecology), the main characteristic of which is digitization, i.e., the application of modern information communication technology. The citizens' adaptation to the modified conditions of the urban environment in which everyday problems are solved by technology leads to the formation of the so-called digital or smart nation, whose internal coherence and communication depend on the access to the Internet. This paper is aimed at describing key characteristics of smart cities and sustainable society, including practical examples of successfully transformed digital nations. The paper applies the content analysis technique and the historical-comparative analysis of the social digitization process.

TAB-SAPP: A Trust-Aware Blockchain-Based Seamless Authentication for Massive IoT-Enabled Industrial Applications

The advancement of sensory technologies proliferates the development of low-cost electronics systems to operate the environmental features of smart cities. Global urbanization integrates networking systems to offer computing-based practical solutions for improving the quality of application-oriented services. Few existing studies have primarily focused on a single-point vulnerability for decentralized IoT applications. However, very few mechanisms address the issues concerning privacy-preserving and trust-aware authentication for IoT-enabled industrial applications. Moreover, the existing schemes are in fact not applicable to real-time scenarios, such as decentralized networks and long-term evolution advanced networks. Thus, this article presents a trust-aware blockchain-based seamless authentication with privacy-preserving (TAB-SAPP) to resolve the critical things, such as privacy, security, and packet delivery ratio. In the proposed TAB-SAPP, a novel data traffic pattern is utilized using identity management to show that the proposed mechanism can be more functional in expanding users’ connectivity to improve the communication metrics, such as packet delivery ratio and mobility speed.

From intelligent building to smart city - A case study

This paper is to provide some insights to professionals on the evolution of smart city, to present its concept and appropriate elements based on the author’s 40+ years of experience in international building development projects.With the oil crisis in the 1970s, the use of alternative energy sources such as solar energy and energy saving measures were explored to combat the threat of fossil fuel supply. The concept of intelligent building to improve the productivity of the occupants and energy saving was then emerged in 1980s, followed by the focusing of the built environment like green building and sustainable construction in the 1990s. Various metrics were developed by different countries for assessing green building provisions e.g. LEED in a more structure manner. Building resilience has recently become popular for abating the increasing natural disasters. The features of intelligent building, green resilient building and smart city will be illustrated by making references to developments which were designed and project managed by the author.On a more macro scale, with the rapid advancement of ICT in recent years, the concept of smart city has been advocated. The various definitions of smart city would first be depicted. Based on these definitions, the attributes of smart building and the respective features were suggested. The appraisal of the designed provisions of a mixed development project in Southeast Asia was then illustrated with suggestions on further elements to enhance its smart city characteristics.

A Bibliometric-Based Analytical Framework for the Study of Smart City Lifeforms in China.

Smart cities are the future development direction of cities and are a comprehensive expression of the development of the organic life body of cities. The organic life form of a smart city relates to viewing the city as an organic life self-organizing system based on the wholeness and systemic nature of the smart city life form itself, to construct a holistic spatial linkage of the functions and mechanisms of the city life system, and to enhance the overall vitality of the space. This study is based on the literature of "smart city" research in the China National Knowledge Infrastructure (CNKI) database, and the current situation and related themes of smart city research in China are discussed through co-word analysis and cluster analysis using software such as SPSS and VOSviewer, among which there are four themes in co-word cluster analysis, namely, intelligent technology supporting smart city research; research on the integration of the social system of a smart city; research on the top-level strategic design and planning and construction of a smart city; and research on the development, evaluation, and concrete practice of smart city construction. Four conclusions are drawn from the development of smart city research in China: Firstly, smart city research has attracted the attention of multiple disciplines, and the research themes are scattered and integrated across disciplinary systems. Secondly, smart city construction, development rules, and characteristics need to be further explored, and the problems, future trends, and policy support for the modernization of China's cities and towns have been focused on engineering and technology, with a lack of practical research in non-technical areas such as humanities and ethics. Thirdly, the philosophical humanism and ecological ethics of smart cities need to be systematized, and their construction and development needs to be humanistic, systematic, and comprehensive, thus contributing to the sustainability, livability, ecology, and wisdom of future urban development. Fourthly, the development of the smart city system is supported by theories related to global cities and innovative cities, and the world city, a product of globalization, is undergoing a transformation into a digital and intelligent organic urban life form.

DEVELOPMENT OF A DATA GOVERNANCE FRAMEWORK FOR SMART CITIES

Abstract. The world is experiencing an unprecedented rate of urbanisation, with 70% of its population expected to live in urban cities by 2050 (United Nations, 2018). This is driving demand for smart city development projects, that address city related issues such as traffic congestion, inadequate housing, excessive crime rates, strains on utilities like energy and water, amongst others. The volume and analysis of data associated with these activities, call for a mechanism for managing data in smart cities.This paper is aimed at developing a data governance framework for managing data generated by smart cities, and improving the way they operate as well as the quality of life of their citizens. The paper will highlight the characteristics of smart cities, the importance for cities to become smart, how the smartness of cities can be measured, and which cities around the world are considered smart. It will also discuss why data is important for the success of smart cities, the types and sources of data typically present in smart city settings and the data management challenges that plague smart cities globally.A sequential mixed methods research approach incorporating qualitative and quantitative data collection and analysis methods was employed, following a multi-step approach starting with analysis of existing frameworks and interviews with subject matter experts. This was followed by a survey of industry professionals, for insights on key framework components, and the use of case studies and questionnaires for framework evaluation.Throughout the research process, the focus of smart cities on people rather than technology was prominent. As such, the most important theme of the framework was identified as “People”, particularly in their roles as data stewards and data owners. The remaining five themes of the recommended data governance framework are, Process, Technology, Data, Protection and Valuable Insights.

The Implementation of Smart Mobility for Smart Cities: A Case Study in Qatar

This paper contributes to building a systematic view of the mobility characteristics of smart cities by reviewing the lessons learned from the best practices implemented around the world. The main features of smart cities, such as smart homes, smart infrastructure, smart operations, smart services, smart utilities, smart energy, smart governance, smart lifestyle, smart business, and smart mobility in North America, Asia, and Europe are briefly reviewed. The study predominantly focuses on smart mobility features and their implications in newly built smart cities. As a case study, the modern city of Lusail located in the north of Doha, Qatar is considered. The provision of car park management and guidance, real-time traffic signal control, traffic information system, active-modes arrangement in promenade and busy urban avenues, LRT, buses, taxis, and water taxis information system, and multimodal journey planning facilities in the Lusail smart city is discussed in this study. Consequently, the implications of smart mobility features on adopting Intelligent Transportation Systems (ITS) will be studied. The study demonstrates that the implementation of Information and Communication Technologies (ICT) when supported by Intelligent Transportation Systems (ITS), could result in making the most efficient use of existing transportation infrastructure and consequently improve the safety and security, mobility, and the environment in urban areas. The findings of this study could be considered an initial step in the implementation of Mobility-as-a-Service (MaaS) in cities with advanced public transportation such as Doha, the capital of Qatar. Doi: 10.28991/CEJ-2022-08-10-09 Full Text: PDF

Detecting Changes in Perceptions towards Smart City on Chinese Social Media: A Text Mining and Sentiment Analysis

Examining the public’s attention and comments on smart city topics in social media can help enable a full understanding of the development characteristics of smart cities, and provide a realistic reference for improving the level of public participation and citizens’ sense of acquisition in smart city construction. Based on Sina Weibo, a well-known social media platform in China, over 230,000 public comments related to smart cities were extracted to analyze. Using LDA (Latent Dirichlet Assignment) and CNN-BiLSTM (Convolutional Neural Network and Bi-directional long and short memory) models, a topic mining and sentiment analysis model for user comments was constructed to study the current state of public perception of smart city concepts. The results demonstrate that public discussions on smart cities were macro-oriented, focusing on strategic layout and technical applications. As public awareness of smart cities deepens, topics about application scenarios and social services are gradually emphasized. The public’s positive sentiment toward smart cities dominates and varies in sentiment intensity across years; the positive sentiment intensity of individual users on smart city ideas is significantly lower than that of official certified Weibo users, such as government departments and corporate organizations, which reveals the identity and temporal characteristics of public participation in cyberspace.

Correlation Analysis in Software Information Dissemination Testing in Regional Apparatus Organizations (RAD) to Support Jogja Smart City

The application of information technology is one of the characteristics of smart cities that are used to provide services for their citizens. This application does not only change what previously did not use information technology to use information technology but the uses of software that is specifically used to serve the community so that the service process becomes fast as is done in the Regional Government RAD (Pemda) of Yogyakarta City. Before using a special application, dissemination services were performed using Microsoft Excel which can only be accessed on a computer. The software for information dissemination was tested by distributing questionnaires with questions grouped on Service quality improvement for information dissemination and User satisfaction. The results were processed and analyzed using the correlation method. The result showed a value of sig.(2-tailed) is 0,000, the Correlation Coefficient of 0,400, so it can be concluded that the relationship between improving service quality for information dissemination on RAD and user satisfaction is significant, strong enough, and unidirectional.

Energy Optimization for Smart Cities Using IoT

ABSTRACT When it comes to smart cities, one of the biggest issues is energy optimization. This is because these cities employ a large number of interconnected devices to autonomously manage city operations, which consumes a lot of energy. This difficulty has been addressed in this paper by using the advantages of contemporary cutting-edge technologies such as the Internet of Things (IoT), 5 G, and cloud computing for energy efficiency in smart cities. With the use of these cutting-edge technologies, we have proposed a model that can be used to optimize energy consumption in smart homes and smart cities alike. Street lighting, building and street billboards, smart homes, and smart parking are among the four essential features of smart cities that would benefit from the proposed model’s energy savings. All smart city electric appliances will be equipped with IoT sensors that will detect movements and react to commands. In order to transport data swiftly between communication channels and the cloud, 5 G technology will be deployed, and the cloud technology will be used to store and retrieve data effectively. The suggested model was evaluated using mathematical modeling, and the findings indicate that the proposed model may assist in improving energy usage in smart cities.

Selection of Features of Smart Cities in the Western Region of Romania

Selection of Features of Smart Cities in the Western Region of Romania

Piezoelectric Energy Harvesting towards Self-Powered Internet of Things (IoT) Sensors in Smart Cities.

Information and communication technologies (ICT) are major features of smart cities. Smart sensing devices will benefit from 5 G and the Internet of Things, which will enable them to communicate in a safe and timely manner. However, the need for sustainable power sources and self-powered active sensing devices will continue to be a major issue in this sector. Since their discovery, piezoelectric energy harvesters have demonstrated a significant ability to power wireless sensor nodes, and their application in a wide range of systems, including intelligent transportation, smart healthcare, human-machine interfaces, and security systems, has been systematically investigated. Piezoelectric energy-harvesting systems are promising candidates not only for sustainably powering wireless sensor nodes but also for the development of intelligent and active self-powered sensors with a wide range of applications. In this paper, the various applications of piezoelectric energy harvesters in powering Internet of Things sensors and devices in smart cities are discussed and reviewed.