Random Forest Learning Based Indoor Localization as an IoT Service for Smart Buildings

Internet-native audio-visual services are witnessing rapid development. Among these services, object-based audio-visual services are gaining importance. In 2014, we established the Software Defined Media (SDM) consortium to target new research areas and markets involving object-based digital media and Internet-by-design audio-visual environments. In this paper, we introduce the SDM architecture that virtualizes networked audio-visual services along with the development of smart buildings and smart cities using Internet of Things (IoT) devices and smart building facilities. Moreover, we design the SDM architecture as a layered architecture to promote the development of innovative applications on the basis of rapid advancements in software-defined networking (SDN). Then, we implement a prototype system based on the architecture, present the system at an exhibition, and provide it as an SDM API to application developers at hackathons. Various types of applications are developed using the API at these events. An evaluation of SDM API access shows that the prototype SDM platform effectively provides 3D audio reproducibility and interactiveness for SDM applications.

The study aims to avoid the phenomenon that thousand cities seem the same in the construction of smart cities and the efforts of all walks of life are jointed to implement the construction of smart cities and the creation of city brands. First, the basic theory of smart city construction is introduced. Second, the restricting and promoting factors influencing smart city construction and development are analyzes, and the evaluation system of smart city development is established. Then, the model for smart city construction and development based on the neural network is implemented. Finally, some domestic cities are selected as the dataset to build a training model, and the city brand optimization strategy is proposed. On this basis, an evaluation system for smart city development based on the intelligent neural network and Grey relational analysis Back Propagation Neural Network (GRA-BPNN) is obtained. The entropy weight method (EWM), grey relational analysis (GRA) method and the evaluation method based on Technique for Order Preference by Similarity to an Ideal Solutionv (TOPSIS) are regarded as the members of the control group, and the results of different methods for evaluating the development of smart cities are compared. The results show that the modeling of smart city construction based on neural networks can help to implement an evaluation model for smart city construction and development, and it can help evaluate smart city construction and development accurately. And then the corresponding strategies are proposed to speed up the construction of smart cities with its local characteristics, and then city brands are built. Compared with other evaluation algorithms, the performance of the algorithm proposed is better and more stable and the evaluation results are more reasonable than those of the others, which can prove that the evaluation algorithm is feasible and scientific. This study provides a new idea for the application of deep learning to smart city construction and city brand building.

A smart city is an urban policy innovation that can improve the community's quality of life by promoting environmental, social, and economic sustainability issues. The involvement and participation of civil society in developing smart cities is a major issue in implementing inclusive smart cities. However, gender issues are often forgotten in developing sustainable smart cities. This article examines two issues. First, the importance of gender issues integration in the development of sustainable smart cities in Indonesia. Second, the importance of gender mainstreaming policy in the development of smart cities in Indonesia. This is a desk study or literature study. Data were obtained from research results published in national and international journals. Data was obtained through accredited journal search engines, namely google scholar, SagePub and Researchgate. The research results show that development of smart city in Indonesia is not yet gender responsive, causing gender inequality gender and excluding women from development. To respond to this, thus there is a need for gender mainstreaming policies in developing smart cities through an overview of the challenges of gender mainstreaming in developing smart cities. Thus, this research recommends a gender mainstreaming strategy as a policy in developing smart cities in Indonesia. Gender mainstreaming policy in smart city development need to be to create a smart city life that is just, inclusive and involves women in development.

In developing countries especially in African continent, rapid population growth in cities is a major concern. Majority of governments in Africa have made more effort to develop urban areas as compared to the rural ones. Social and economic activities are more concentrated in urban areas. This is a pushing factor for the rapid population growth in cities as many people, especially young generation, tend to migrate from rural to urban. This growth leads to excessive exploitation of natural resources, environmental degradation and increased pressure on social services. Rapid increased population acts as an encouragement to construct smart cities for achieving needs for present and future generations. Tanzania as one of the developing countries in Africa has taken initiatives in establishing smart cities. The aim of this study therefore, is to examine opportunities and challenges in the development of Smart cities in Tanzania with a case study of Mbeya city. In addition, conceptualization about development of smart cities is proposed to prioritize the planning of smart grid among other smart city infrastructure systems. Conclusively, Mbeya city has a full potential of many strengths and opportunities for successful development as a smart city.

The rapid urbanization of cities worldwide has propelled the concept of Smart City development to the forefront of urban planning discussions. This paper provides a comprehensive review of technological integration in urban planning within the context of Smart City development. The paper examines the evolution of Smart Cities, emphasizing the crucial role of technology in enhancing the quality of urban life. The review begins by outlining the key components of Smart Cities, such as smart infrastructure, data analytics, Internet of Things (IoT), and artificial intelligence. It explores how these components are integrated into urban planning processes to create more efficient, sustainable, and livable cities. The paper delves into case studies from various global cities, showcasing successful implementations of technology-driven solutions in areas like transportation, energy management, and public services. Furthermore, the review highlights the challenges associated with technological integration in Smart City development, including issues related to data privacy, security, and digital equity. It discusses the importance of establishing robust governance frameworks and public engagement strategies to address these challenges and ensure the responsible deployment of technology in urban environments. The role of collaboration between the public and private sectors is emphasized throughout the review, emphasizing the need for partnerships to leverage resources and expertise effectively. The paper also explores emerging technologies that are likely to shape the future of Smart Cities, such as 5G connectivity, blockchain, and edge computing. In conclusion, this paper underscores the transformative impact of technological integration on urban planning and Smart City development. By providing insights into successful implementations, challenges, and future trends, it contributes to the ongoing discourse on creating intelligent and sustainable urban environments for the benefit of present and future generations.

The concept of "smart cities" The Internet of Things (IoT) is a multi-layered framework that allows cities to employ urban networks to enhance economic performance, generate innovative technological solutions, and more. Smart Cities are the result of a new age in information technology and smart economy growth, based on Internet mesh networks, communication networks, transmission networks, wireless networks, and other end-to-end sensor networks. The Internet of Things (IoT) is at the heart of it. The Internet of Things incorporates sensors into common things and links them through particular protocols for sharing data and communications over the Internet. Smart detection leads, location, monitoring, and administration are all provided by this modular architecture. A smart city of excellence must overcome three main factors: instrumented, linked, and intelligent, with the help of IoT technology. At this point of IoT development, smart cities can only arise through the interconnectedness of all of these smart elements. The goal of this essay is to learn how the Internet and sensors may assist in the development of smart cities.
 The study's main goal is to figure out how the Internet of Things, or IoT, is being used in smart cities. We also want to establish the necessity for IoT systems in these smart cities, as well as the issues that they may pose to individuals and society, via the research.
 Review secondary research papers, reviews, dissertations, and online documents from the EBSCO, Scopus, and Emerald databases to analyse and comprehend the usage of IoT in smart cities and the possible problems that its implementation may provide in order to accomplish the following goals.
 Municipal requirements are getting more complicated, necessitating the adoption of new technology like the Internet of Things to ensure that all of these cities' duties are completed. Although more cities are becoming smart via the usage of IoT in a number of businesses, the study shows that this IoT system is also creating worries about the security of citizens' data.

In today's global context, reducing CO2 emissions and mitigating environmental impacts has become an important issue, leading to the inclusion of smart cities among the top priorities of every country. This article aims to provide solutions for creating appropriate policies and overcoming obstacles in this field, with a focus on the importance of clean energy in the development of smart cities. Specifically, by focusing on three important sectors, namely Energy, Transportation, and Buildings, the aim is to help create efficient roadmaps for developing smart cities. To achieve this goal, successful policies and strategies implemented in successful cities will be examined to overcome the barriers in these sectors and achieve smart city status. The article emphasizes the importance of local government and stakeholder collaboration. This collaboration plays a critical role in creating appropriate policies for increasing the use of clean energy in different sectors, as the ideas of politicians and energy experts cannot be implemented without the support and participation of local governments. Therefore, the cooperation and support of local governments and stakeholders are of great importance for the development of smart cities. In short, the article emphasizes the importance of clean energy in the development of smart cities, provides recommendations for identifying appropriate policies and overcoming barriers, and highlights the critical role of local government and stakeholder collaboration. Therefore, this collaboration can be considered as a successful step towards the development of smart cities.

In this developing paradigm, heterogeneous network infrastructure is combined with ubiquitous devices for sensing, smart control systems and big data analytics to create “smart cities.” Enhancing the overall quality of life is one of their main goals and they do so through smart services they offer in a broad range of areas such as transportation, healthcare, entertainment (including virtual reality), the environment (including pollution) and energy. To be able to offer those services, the job of big data and their analysis is complicated, since it allows for the extraction of useful insights from the enormous amounts of data that the smart cities produce. The current state-of-the-art research efforts aimed at big data analytics in a smart city setting are investigated and presented in this chapter. In particular, a comprehensive literature review on the big data analytic frameworks for smart cities is provided. Following that, a short talk on IoT and big data is briefed. Owing to different data that the smart cities collect, which frequently have contradictory processing needs, appropriate investigative methods based on the data type are also recommended, depending on the data type. The many smart city applications were investigated and a perspective on the difficulties associated with smart city development was developed. In this chapter, the methods addressing the smart city issues and development are examined, and the possibility for the employment of integrated IoT and big data analytics is presented. Finally, as a case study, a briefing on a call service application for the fire department in a smart city is provided to round up the presentation.

Internet of Things (IoT) "The smart city concept has become a dream that big cities in Indonesia want to achieve, basically the smart city concept focuses on developing the human element using technology. IoT opens up many opportunities for new services by connecting the physical world and the virtual world to various electronic devices. IoT aims to leverage cutting-edge technology to support sustainable services for governments and their citizens. Systematic Literature Review (SLR) is one method in conducting an overview of previous interrelated researchers. The purpose of the literature study in this research is to understand trending research topics, methods, and architecture in the development of smart cities with IoT. In this study, various interesting information was found in various research journals regarding the role of IoT in building a smart city that has a role to serve smart city infrastructure, identify and analyze trends, develop smart cities and become innovations for IoT. Based on the research, there are things that need to be done to improve the study to focus more on the role of IoT that can be more utilized. IoT is also one of the technologies that are widely used in several countries in the development of IoT in the future. IoT in smart cities will become an inseparable technology because humans will increasingly depend on IoT in their daily lives

Big data and artificial intelligence based early risk warning system of fire hazard for smart cities

The construction of smart cities is an effective path for sustainable urban development. Determining how to build smart cities and choose effective development models has attracted attention from all walks of life. Consequently, determining how to promote the development of smart cities and how to choose effective development models has also attracted attention. This paper takes 77 prefecture-level cities in China as case studies to explore the impact of technology, organization, and environment on the high-level development of smart cities. In this study, the fsQCA (fuzzy set-based qualitative comparative analysis) method was used to explore the configuration effects of three types of factors. The main findings are as follows: Firstly, no single factor among the three categories is a necessary condition for the high development level of smart cities, indicating that relying solely on technological conditions cannot build high-level smart cities. Secondly, the path of development of a smart city can be summarized into three modes: Both organizational and industrial environment type, both governance and cultural environment type, and balanced development type. Finally, among the three modes, the government’s digital governance capability and industrial environment play a crucial role in achieving a high level of development in smart cities. This article examines the development of smart cities from a systems perspective and provides useful, practical insights for the construction of smart cities.

Smart city development Models: A cross-cultural regional analysis from theory to practice

Due to the incompleteness of planning ideas and construction methods, there are many problems in urban construction: the planning lacks prospectiveness, does not match the development needs of the city, and repeated construction is common; the community has insufficient functions and transportation. Therefore, it is of great significance to explore the path of smart city construction and development. This article mainly studies the application of intelligent logistics technology and big data in the construction and development of smart cities. Starting from the two main theories of theory and reality, this article first discusses the challenges of the big data era background to urban construction, analyzes the relationship between big data and smart cities, and then takes urban logistics big data as an object to study smart city construction. The smart logistics technology pointed out the convenience brought by the smart logistics technology and big data technology in the construction of smart cities. Finally, by drawing on the advanced experience of using big data in some cities at home and abroad to promote the construction of smart cities, the use of big data and smart logistics Technology assists the construction of smart cities, and has made concrete and detailed suggestions. The experimental results of this paper show that the group size is 60, the number of iterations is 30, and the minimum logistics cost through iteration is 1,284,100 yuan. In this paper, the logistics management method of intelligent logistics technology based on big data can minimize the logistics cost. This article provides some theoretical guidance for the key technical aspects of logistics network warehousing, service and resource management in the construction and development of smart cities, and provides guarantee for urban construction and stable development, which has certain reference significance for better and longer-term development.

A smart city is an intelligent space, in which large amounts of data are collected and analyzed using low-cost sensors and automatic algorithms. The application of artificial intelligence and Internet of Things (IoT) technologies in electronic health (E-health) can efficiently promote the development of sustainable and smart cities. The IoT sensors and intelligent algorithms enable the remote monitoring and analyzing of the healthcare data of patients, which reduces the medical and travel expenses in cities. Existing deep learning-based methods for healthcare sensor data classification have made great achievements. However, these methods take much time and storage space for model training and inference. They are difficult to be deployed in small devices to classify the physiological signal of patients in real time. To solve the above problems, this paper proposes a micro time series classification model called the micro neural network (MicroNN). The proposed model is micro enough to be deployed on tiny edge devices. MicroNN can be applied to long-term physiological signal monitoring based on edge computing devices. We conduct comprehensive experiments to evaluate the classification accuracy and computation complexity of MicroNN. Experiment results show that MicroNN performs better than the state-of-the-art methods. The accuracies on the two datasets (MIT-BIH-AR and INCART) are 98.4% and 98.1%, respectively. Finally, we present an application to show how MicroNN can improve the development of sustainable and smart cities.

The rapid development of smart cities has raised concerns about residents' emotional well-being (EWB). To enhance EWB when developing smart cities, policy-makers should take residents' perceptions and attitudes into account. How can residents' perceptions about smart city development help promote their EWB? In this paper, we constructed a comprehensive model to explore the effect mechanism of perceived smart city developments on residents' EWB by considering the factors of stress, convenience, and life satisfaction (LS). Using a sample of 428 urban residents in a Chinese smart city, the paper verified the conceptual model by using a structural equation model (SEM) analysis. The results showed that: (1) perceived smart public service (PSPS) can increase EWB by reducing stress; it can also increase EWB by the mechanism of improved LS, brought about by this reduced stress. Perceived smart infrastructure (PSI) will reduce EWB by increasing stress; it can also decrease EWB by the mechanism of reduced LS, brought about by increased stress. (2) Perceived smart public administration (PSPA), PSPS, PSI, and perceived smart environmental protection (PSEP) can enhance EWB via the mechanism of increasing convenience and thereby improving LS. (3) Finally, the statistically insignificant relationship between convenience and LS may be due to the interaction effect of stress and convenience, because the interaction term between convenience and stress has a significant effect on LS, resulting in four insignificant indirect effects involving PSPA, PSPS, PSI, PSEP and EWB vis-a-vis convenience. Overall, this paper contributes to cross-disciplinary research on residents' perceptions with respect to smart city development, and provides guidelines for governmental policy-making in the planning of smart cities.