Intelligent autonomous cyber-physical systems and applications

Abstract

This special issue aims to bring out recent advances in cyber-physical systems (CPS) and its applications. CPS is a new emerging paradigm with widespread applications such as intelligent manufacturing, smart grid, smart manufacturing, etc. Usually, CPS applications are complex, and it is often difficult to build and manage in a real-time environment. Currently, energy management remains to be a critical issue, especially with automobile industries. To effectively deal with energy optimisation problems across smart scheduling systems, a Multiple Fuzzy Aggravated Energy Scheduling Approach (MFAESA) is proposed to incorporate fuzzy algorithms to deal with energy loss problems. This algorithm searches for the network idle time and optimises the energy usage of IoT efficiently assisted automobile industries. This increases performance measures and reduces system execution time. Further, this approach is highly accurate and protects energy loss across the IoT network in a more optimised way.Supply chain management is one of the most prominent applications of CPS. This special issue also focuses on exploring the most accurate and fault-tolerant solutions for CPS assisted supply chain management systems. Devices, including target hardware, software, and operating environment, are more susceptible to vulnerable operations when functioning across the IoT systems. A linear approximation based fuzzy model is used to identify defective components in the supply chain management systems. The use of roughest approximation techniques eliminates the defects in the identification of faulty components and eliminates ambiguity measures. In addition, this approach helps to measure faults across the dynamic modules of the system.Currently, information management across physical networks remains to be a significant issue. Especially with cybersecurity assisted IoT systems. This special issue presents a deep reinforcement learning-based solution to deal with enterprise information management and its integration with intelligent physical systems. It efficiently CONTACT Gunasekaran Manogaran

Sustainable Smart City Planning: Advances in Intelligent Transportation and E-Transportation Management

“…The South Carolina transportation sector faces challenges such as gridlocked roads, route planning difficulties, fleet operational issues, parking authorization modeling problems, and short-term forecasting difficulties due to the surge in urban migration and massive real-time data. To overcome these challenges, it is important to incorporate big data with other technologies [4,8]. Examples of practical implementations of SC transportation systems are discussed in the study by the study [2].…”

“…Uncrewed aerial vehicles (UAVs) in SC transportation have also been considered. The writers explored UAVs in SC transit, as shown in Figure 6 [8]. Aerial accident reporting agents, aerial speeding fines, airborne police, and aerial traffic signals are just a few examples of UAVs' uses that may be made possible [2].…”

“…Intelligent transportation and its implementations [3] are important SC components that need intelligent instrumentation and interconnection [1]. Big data analytics has been used to construct and communities [8]. To gather data for smart transportation, different sources of data, such as GPS, video recording, social media, and sensor are used.…”

“…The introduction of deep learning (DL) models is a new trend in current machine learning algorithms [3]. It includes convolutional neural networks, deep constrained Boltzmann machines, conventional neural networks and stackable autoencoders and other DL models [8]. The latest AI methods for traffic estimates and forecasting, control, mobility and transportation as well as other SC-related applications are used [1].…”

Improving Prevention and Development among Children and Adolescents in Schools by Integrating Social, Emotional and Intellectual Learning

“…Parents, teachers, and society have long believed that by the period children graduate from higher education institutes, they must be self-sufficient, socially competent, and well-rounded individuals capable of successfully navigating their personal and professional routes into childhood [1][2]. In addition to the mission of teaching academic competencies, there is widespread consensus that institutes play a critical role in nurturing their talents [3].…”