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Future construction projects will need the implementation of industry 4.0 and Internet-of-Things (IoT) technologies. The construction sector has, however, falling behind other industries in the application of these technologies and is currently facing considerable challenges. One of the industries that lag behind in the use of new innovative technological tools is the construction industry. This study reviews the research work in industry 4.0 and the Internet of Things as they relate to construction and examines key Ghana-based construction professionals and firms to ascertain their level of understanding of these emerging innovative technologies, including the challenges and benefits associated with their implementation. An extensive review of pertinent literature was done to help identify the important paradigms and variables which were cautiously tested. Adopting a quantitative research approach, the attained variables were used to design into a close-ended questionnaire. The sample frame was a survey of people from 154 construction experts and researchers with good standing by using the purposive sampling. Relative importance index (RII) analysis was used to analyzed the data. It was discovered from the findings that smart construction was the most popular industry 4.0 technology in the Ghanaian construction industry. The most important benefit of these technologies is that they will add sustainable policy requirements to tendering, with the most pressing technology being the lack of talent and skills in using industry 4.0 and IoT technologies. The scope of this research is based on the questionnaire survey, proving a sustainable pathway to the construction industry community, which creates its own significance by including key stakeholders and those affected by these technologies., (© 2022. The Author(s).)

Flexible and thin-film humidity sensors are currently attracting the attention of the scientific community due to their portability and reduced size, which are highly useful traits for use in the Internet o Things (IoT) industry. Furthermore, in order to perform efficient and profitable mass production, it is necessary to develop a cost-effective and reproducible fabrication process and materials. Green fabrication methods and biodegradable materials would also minimize the environmental impact and create a sustainable IoT development. In this paper, flexible humidity sensors based on a common salt (NaCl) sensing layer are reported. Our sensors and the fabrication techniques employed, such as dip and spray coating, provide a biodegradable, low cost, and highly reproducible device. One of the sensors reported presents a typical resistive behaviour from 40% RH up to 85% RH with a sensitivity of 0.21 (Z/%RH). The performance of the sensors obtained with several fabrication techniques is studied and reported at multiple frequencies from 100 Hz to 10 MHz, showcasing its versatility and robustness. [ABSTRACT FROM AUTHOR]

This paper proposes the shortest path optimization algorithm for domestic and overseas e-commerce logistics based on a bilateral search method. This paper uses the logistics distribution route optimization algorithm based on the shortest path to set the collaborative parameters. Then, it builds an adaptive optimization model for the grid planning of domestic and overseas e-commerce logistics path. The route is optimized. Then, the PSO and genetic algorithm are integrated to establish the logistics path planning model of domestic and overseas e-commerce. The superiority of the proposed route optimization algorithm in domestic and overseas e-commerce logistics distribution is verified through simulation experiments. This algorithm has high spatial positioning efficiency and high transportation efficiency. [ABSTRACT FROM AUTHOR]

The Virtuous Incubation System is a solution aimed at transforming poultry farming by integrating Internet of Things (IoT) technology into the incubation process. This paper seeks to improve the efficiency and success rate of poultry egg incubation while minimizing manual intervention, reducing resource consumption, and ensuring optimal conditions for embryo development by providing a smart incubator system. The smart incubator addresses the challenges of traditional manual monitoring and adjustments by leveraging IoT devices, sensors, and data analytics to create an automated and intelligent incubation system. It provides energy efficiency by incorporating energy-efficient components to minimize power consumption, thereby reducing operational costs for farmers, and by providing notifications and alerts where critical deviations in environmental conditions or equipment malfunction, enabling proactive intervention to prevent losses. A cross-section of small- to medium-scale poultry producers, particularly those engaged in hatching chicks, were interviewed to highlight the main challenges regarding the business of hatching chicks. It was learned through the interviews that chick production on a small to medium scale was relatively expensive due to the labor employed to monitor the production and losses due to adverse conditions resulting in a poor success rate in hatching the chicks. Thus, the implementation of the virtuous incubation system comes in to solve the main challenges being faced by the local poultry producers. [ABSTRACT FROM AUTHOR]

The papers address the following key areas: ' B I Applications of IoT and digital twin in electrical power systems: A comprehensive survey i b ': This research paper reviews the applications of the Internet of Things (IoT) and digital twin technology in electrical power systems. With the growth of Internet of Things (IoT) techniques, applications have become smarter, and linked gadgets allow them to be used in many parts of power systems. ' B I A new low-cost and low-power industrial Internet of Things infrastructure for effective integration of distributed and isolated systems with smart grids i b ': This research paper provides an Internet of Things (IoT) infrastructure solution based on a newly designed low-cost microcontroller-based IoT remote terminal unit (RTU) to integrate new, old, and conventional sites of existing grids with smart grids. [Extracted from the article]

The current Internet of Things (IoT) technology has entered a relatively mature development stage, and more and more IoT devices can readily access the Internet. However, along with this, the IoT system still faces fragile security of device nodes, easy data tampering, and low system stability. To this end, this paper proposes a smart contract-based security model for IoT systems. The proposal is based on the super ledger Fabric blockchain platform having decentralised, tamper-proof, and programmable features. These features achieve credible authentication of IoT device nodes on the one hand and tamper-proof data storage on the other hand. Further, with these features, we gain a trustworthy environment for enhancing the security of the whole IoT system. [ABSTRACT FROM AUTHOR]

Smart communication has significantly advanced with the integration of the Internet of Things (IoT). Many devices and online services are utilized in the network system to cope with data gathering and forwarding. Recently, many traffic-aware solutions have explored autonomous systems to attain the intelligent routing and flowing of internet traffic with the support of artificial intelligence. However, the inefficient usage of nodes' batteries and long-range communication degrades the connectivity time for the deployed sensors with the end devices. Moreover, trustworthy route identification is another significant research challenge for formulating a smart system. Therefore, this paper presents a smart Random walk Distributed Secured Edge algorithm (RDSE), using a multi-regression model for IoT networks, which aims to enhance the stability of the chosen IoT network with the support of an optimal system. In addition, by using secured computing, the proposed architecture increases the trustworthiness of smart devices with the least node complexity. The proposed algorithm differs from other works in terms of the following factors. Firstly, it uses the random walk to form the initial routes with certain probabilities, and later, by exploring a multi-variant function, it attains long-lasting communication with a high degree of network stability. This helps to improve the optimization criteria for the nodes' communication, and efficiently utilizes energy with the combination of mobile edges. Secondly, the trusted factors successfully identify the normal nodes even when the system is compromised. Therefore, the proposed algorithm reduces data risks and offers a more reliable and private system. In addition, the simulations-based testing reveals the significant performance of the proposed algorithm in comparison to the existing work. [ABSTRACT FROM AUTHOR]

Conventional outage management practices in distribution systems are tedious and complex due to the long time taken to locate the fault. Emerging smart technologies and various cloud services offered could be utilized and integrated into the power industry to enhance the overall process, especially in the fault monitoring and normalizing fields in distribution systems. This paper introduces smart fault monitoring and normalizing technologies in distribution systems by using one of the most popular cloud service platforms, the Microsoft Azure Internet of Things (IoT) Hub, together with some of the related services. A hardware prototype was constructed based on part of a real underground distribution system network, and the fault monitoring and normalizing techniques were integrated to form a system. Such a system with IoT integration effectively reduces the power outage experienced by customers in the healthy section of the faulted feeder from approximately 1 h to less than 5 min and is able to improve the System Average Interruption Duration Index (SAIDI) and System Average Interruption Frequency Index (SAIFI) in electric utility companies significantly. [ABSTRACT FROM AUTHOR]

In order to solve a series of problems similar to the repetitive construction of resources and low degree of resource sharing in cruciform teaching, this paper studies the digital disarming management. Based on the in-depth analysis of the actual needs of the digital teaching resource service system and the key problems in the system, taking the resources and business process as the starting point, based on Java Web related technology, combined with the related processes of resources and business processing, this paper designs the digital teaching resource system of colleges and universities. The system has the functions of resource digitization, process management, and interaction with other platforms. The system database platform and operation platform are built; the development environment is configured; and the user login service function, data conversion service function, process management service function, and system management service function are completed. The function is tested by unit test, and the performance is tested and analyzed according to user requirements and design objectives. The system adopts Java web development technology, uses S2SH framework as the development basis, and takes Oracle database as the data storage platform through Tomcat6.0 web server for program publishing. Through system testing and analysis, the software can operate normally and achieve the expected functions and can be put into use. [ABSTRACT FROM AUTHOR]

As we know IOT is the technology which is most frequently used in number of areas and application since last 10 to 12 years. Using IOT many smart things are communicated via wired and wireless medium and also process, compute and monitor various scenarios in real time. These smart things are different in nature and also having low storage, low power and low processing speed. There are many securities and privacy issues found in traditional system, the existing protocols used in traditional system was not up to mark for IOT. In this review paper, firstly the author explained brief about IOT and its applications. The main security problem ARC (Availability, Reliability and confidentially) and layer -wise problem also identified. After that authors study two main technology ML and block chain for finding privacy issue in Internet of Things. In the last section of this review paper the security problems are rectified and solved by machine learning and block chain and research challenges also mention. [ABSTRACT FROM AUTHOR]

The banking sector has undergone significant transformations with the integration of financial technology (fintech), reshaping traditional banking operations and customer experiences. This research paper explores the evolution of fintech integration into the banking sector, assesses its current landscape and explores its future prospects, opportunities, potential and emerging technologies. The paper begins by providing an overview of the fintech revolution and its impact on banking, highlighting key drivers such as digitalization, consumer demand for convenience, regulatory changes, and technological advancements. It examines how fintech solutions have revolutionized banking operations, including digital banking platforms, payment solutions, data analytics, AI-driven insights, blockchain applications and robotic process automation (RPA). Through an analysis of current trends and empirical studies, the paper delves into the future prospects of fintech in banking, emphasizing its role in expanding financial inclusion, enhancing customer experiences, improving regulatory compliance and fostering collaboration between banks and fintech startups. It explores the role of open banking frameworks, cloud computing, Internet of Things (IoT), biometric authentication and regulatory technology (regtech) in shaping the future of banking. Furthermore, the paper examines the challenges and barriers hindering the widespread adoption of fintech in banking, such as regulatory uncertainty, cybersecurity risks, legacy infrastructure constraints, data privacy concerns and talent shortages. It identifies untapped areas and opportunities for fintech innovation, including small and medium-sized enterprises (SME) lending, wealth management, insurance, trade finance and rural banking. Through a comprehensive analysis of industry trends, regulatory developments and technological innovations, this research paper provides insights into the transformative potential of fintech in the banking sector. It concludes with recommendations for banks, policymakers and stakeholders to capitalize on the opportunities presented by fintech integration, navigate regulatory challenges and leverage emerging technologies to drive innovation, growth and competitiveness in the digital banking era. [ABSTRACT FROM AUTHOR]

Background and Objectives: Today, the increased number of Internet-connected smart devices require powerful computer processing servers such as cloud and fog and necessitate fulfilling requests and services more than ever before. The geographical distance of IoT devices to fog and cloud servers have turned issues such as delay and energy consumption into major challenges. However, fog computing technology has emerged as a promising technology in this field. Methods: In this paper, service/energy management approaches are generally surveyed. Then, we explain our motivation for the systematic literature review procedure (SLR) and how to select the related works. Results: This paper introduces four domains of service management and energy management, including Architecture, Resource Management, Scheduling management, and Service Management. Scheduling management has been used in 38% of the papers. Therefore, they have the highest service management and energy management. Also, Resource Management is the second domain that has been able to attract about 26% of the papers in service management and energy management. Conclusion: About 81% of the fog computing papers simulated their approaches, and the others implemented their schemes using a testbed in the real environment. Furthermore, 30% of the papers presented an architecture or framework for their research, along with their research. In this systematic literature review, papers have been extracted from five valid databases, including IEEE Xplore, Wiley, Science Direct (Elsevier), Springer Link, and Taylor & Francis, from 2013 to 2022. We obtained 1596 papers related to the discussed subject. We filtered them and achieved 47 distinct studies. In the following, we analyze and discuss these studies; then we review the parameters of service quality in the papers, and ultimately, we present the benefits, drawbacks, and innovations of each study. [ABSTRACT FROM AUTHOR]

Internet of Things (IoT) technology has become an inevitable part of our daily lives. With the increase in usage of IoT Devices, manufacturers continuously develop IoT technology. However, the security of IoT devices is left behind in those developments due to cost, size, and computational power limitations. Since these IoT devices are connected to the Internet and have low security levels, one of the main risks of these devices is being compromised by malicious malware and becoming part of IoT botnets. IoT botnets are used for launching different types of large-scale attacks including Distributed Denial-of-Service (DDoS) attacks. These attacks are continuously evolving, and researchers have conducted numerous analyses and studies in this area to narrow security vulnerabilities. This paper systematically reviews the prominent literature on IoT botnet DDoS attacks and detection techniques. Architecture IoT botnet DDoS attacks, evaluations of those attacks, and systematically categorized detection techniques are discussed in detail. The paper presents current threats and detection techniques, and some open research questions are recommended for future studies in this field. [ABSTRACT FROM AUTHOR]

This paper explores the implementation of Internet of Things (IoT) technology to create a remote-control system for electrical equipment in households. The system offers a unified interface for managing various home appliances, including lights, vertical curtains, and air conditioning units. A private network infrastructure supports a personal cloud service, enabling remote access to appliance controls through the internet. The primary objective of this study is to enhance energy efficiency within households by facilitating convenient and remote management of electrical devices. Through the IoT framework, users can monitor and adjust appliance settings based on environmental conditions, accessed through a web server and user-friendly web applications or smartphone interfaces. Key findings of this paper include the real-time monitoring of electrical parameters through web applications, providing insights into energy usage patterns and opportunities for optimization. By leveraging IoT technology, homeowners can reduce energy consumption and contribute to environmental sustainability while enjoying improved convenience in appliance management. This study underscores the importance of integrating IoT solutions into household infrastructure to promote energy conservation and enhance overall efficiency. The implications of this paper extend to both individual homeowners and broader efforts to mitigate energy consumption in residential settings, ultimately contributing to a more sustainable future. [ABSTRACT FROM AUTHOR]

Forest fires present significant threats to both natural ecosystems and human communities, highlighting the need for advanced detection systems for early intervention and mitigation. This paper aims to develop a novel forest fire detection system by integrating Internet of Things technology, machine learning algorithms, and real-time data from weather APIs. The proposed system utilizes IoT sensors to gather environmental parameters and weather conditions, enhancing the accuracy of fire detection. A machine learning model trained on this data distinguishes between normal environmental fluctuations and signs of fire. Additionally, an image processing algorithm is employed to analyze images for the presence of smoke or flames. Integration and testing of the system demonstrate its promising results in terms of accuracy and efficiency compared to traditional methods. This paper contributes to technology-driven solutions for forest fire management, with significant implications for environmental conservation and public safety. [ABSTRACT FROM AUTHOR]

With the rise of the 3Ds--decarbonization, decentralization, and digitalization--the number of electric vehicles is projected to increase, necessitating the implementation of modern technologies to avoid unnecessary energy wastage. Numerous studies have been developed proposing electric vehicle (EV) charging frameworks in networks empowered by renewable energy resources. In addition, more focus has recently been directed on incorporating blockchain technology to assure security and transparency in trading systems. However, fewer studies have delved into developing a practical implementation of their solution due to the complexity of the topic. Therefore, this paper thoroughly investigates integrating blockchain technology in electric vehicle charging systems, analyzing the existing practical implementation and their characteristics. It comprises 48 relevant studies between 2017 and 2023, covering the following main research areas: (i) renewable energy-based electric charging systems, (ii) blockchain frameworks used in energy trading, and (iii) performance metrics of simulated and implemented solutions. Results show that blockchain applications in EVs and energy trading systems are highly current, and researchers are actively exploring ways to improve their efficiency and effectiveness. [ABSTRACT FROM AUTHOR]