learningoptimization algorithm is a swarm intelligentoptimization algorithm which simulates the teaching process of teachers and the learning process of students. Due to the problems of poor stability, low optimizat...
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To address the challenges posed by non-convex optimization in path planning for intelligent vehicles using numerical optimization techniques, this study introduces a combined approach leveraging dynamic programming (D...
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the increase of electric vehicles (EVs) necessitates more intelligent infrastructure for charging them. the various energy sources that are available at these EV charging stations would be effectively controlled and m...
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this research review examines the potential of emerging technologies in early childhood education. Specifically, we focus on the integration of advanced technologies such as facial recognition, motion-based interactio...
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Withthe advancement of technology, the use of IoT technology for information management of safety production in chemical industrial parks is of great significance. this article designs an emergency rescue system for ...
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ISBN:
(纸本)9798350375084;9798350375077
Withthe advancement of technology, the use of IoT technology for information management of safety production in chemical industrial parks is of great significance. this article designs an emergency rescue system for chemical industrial parks based on the Internet of things, which mainly consists of a main control module, infrared detection module, image acquisition module, voice prompt module, network transmission module, etc. this system adopts Zigbee wireless networking technology, which has the characteristics of easy operation, low power consumption, low cost, easy expansion, and easy maintenance. Practice has shown that in the social environment of energy conservation and emission reduction, the system has high application value.
Pedestrian detection and tracking have long been popular topics in both research and application. In intelligent building video surveillance systems, these techniques can be used to detect and track pedestrians within...
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ISBN:
(纸本)9798350375084;9798350375077
Pedestrian detection and tracking have long been popular topics in both research and application. In intelligent building video surveillance systems, these techniques can be used to detect and track pedestrians within monitored areas, identifying suspicious behaviors. Currently, most widely-used pedestrian detection and tracking systems are based on a centralized architecture with a central server. Such systems suffer from high latency, poor scalability, and limited robustness. To address these issues, this paper proposes an end-to-end pedestrian detection and tracking system architecture utilizing edge computing devices. this architecture divides complex building structures into logical multi-layer structures using edge computing devices, solving the aforementioned problems, facilitating building security management, and reducing the complexity of pedestrian tracking algorithms in large buildings. Finally, a demo system is built to verify the feasibility of the proposed architecture.
A smart learning environment was constructed by harnessing big data and recommendation mechanisms tailored to the students' different demands. With augmented reality and interactive tools, paths to differentiated ...
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Vehicular networks are a vast and significant research subject that attracts the transportation and telecommunications industries. the transportation industry's primary goal is to ensure road safety. For this purp...
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ISBN:
(纸本)9798350361261;9798350361278
Vehicular networks are a vast and significant research subject that attracts the transportation and telecommunications industries. the transportation industry's primary goal is to ensure road safety. For this purpose, as a solution, it was necessary to combine cellular networks and vehicular technologies, which led to Cellular Vehicle-to-Everything (C-V2X). thus, vehicles that support 4th generation (4G) or 5th generation (5G) capacities must be capable of transparently adjusting to the existing dual infrastructure by enforcing the new 5G radio and current 4G Long-Term Evolution (LTE) technology. In this context, Dual connectivity (DC) was invented to enable vehicles to be connected simultaneously using the two technologies and to resolve the problem of frequent Handovers (HO). this study aims to enhance the network's performance by reducing HO's number. To do this, we opted to use and test our network with two Deep Reinforcement learning (DRL) algorithms: Proximal Policy optimization (PPO) and Advantage Actor-Critic (A2C). Simulation results and the comparison between these two algorithms reveal that PPO is the algorithm that performs the best in almost all scenarios.
Withthe advancement of electricity market reform and the pursuit of carbon neutrality goals, the energy efficiency of grid-connected power generation metering devices has become a focal issue in the industry. this pa...
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this study proposes a bearing fault diagnosis method that combines the Cuckoo optimization Algorithm (COA) withthe KAN algorithm. COA, as an intelligentoptimization algorithm, is primarily used to find the optimal h...
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