As more and more features are added to the car's Human- Machine Interface (HMI), device management becomes increasingly difficult. Making the most of the many human senses is consequently a tactic to facilitate us...
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Cloud-based railway interlocking system is a novel solution for interlocking systems with the development of cloud computing. The load balancing problem caused by imbalanced resources in computing platforms is an esse...
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ISBN:
(纸本)9798350399462
Cloud-based railway interlocking system is a novel solution for interlocking systems with the development of cloud computing. The load balancing problem caused by imbalanced resources in computing platforms is an essential problem in realizing cloud-based railway interlocking system. Conventional load balancing algorithms focus on makespan, throughput and costs. However, a load balancing algorithm for a cloudbased railway interlocking system should focus on optimizing resource utilization and execution time. To this end, we propose a hybrid meta-heurisite algorithm called Improved Genetic Annealing Algorithm (IGAA). The proposed algorithm can guarantee global optimization ability by using the Metropolis criterion and can converge rapidly due to the parallel searching characteristic of the Genetic Algorithm. Finally, the feasibility and effectiveness of the proposed algorithm are verified by experiments.
This paper introduces a novel strategy for improving campus security by combining Convolutional Neural Networks (CNNs) with Internet of Things (IoT) technology. For a smart campus safety management system, the suggest...
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This study developed a new actuator unit that enhances clothing stiffness to maintain its shape and thereby facilitate dressing and undressing. The actuator unit consists of a Straighten Actuator that provides stiffne...
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The traditional operation and maintenance management of pumped storage power station group exists problems such as data analysis and mining is not systematic, and the level of intelligence is low. This paper researche...
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ISBN:
(纸本)9798350377477;9798350377460
The traditional operation and maintenance management of pumped storage power station group exists problems such as data analysis and mining is not systematic, and the level of intelligence is low. This paper researches the large-scale pumped storage power station big data analysis technologysystem of multi- source data fusion, and based on this, develops the large-scale pumped storage power station equipment visualisation and big data decision analysis system, constructs the data transmission platform, and realizes the standardized storage of multi-source data. Meanwhile, intelligent algorithms are developed based on the data and platform foundation, while applications are deployed to verify their reliability. This is helpful in promoting the intelligent and digital transformation of pumped storage power station groups.
The reliability and safety of large-scale solar photovoltaic (LSSPV) systems are crucial for effectively harnessing renewable energy. With the increasing adoption of solar energy in lightning-prone regions of Malaysia...
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The manuscript describes the design and analysis of the ANFIS Controller based Solar PV system. The proposed system consists of PV array, Adaptive Neuro-Fuzzy Inference system (ANFIS) controlled Tripple Lift Luo Conve...
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Under spoofing attacks, the positioning results of GPS receivers will be towed away. Thus, it is necessary to improve the anti-spoofing capability of receivers to ensure the authenticity of the positioning result. In ...
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Developing a timetable takes a lot of effort and time from educators. To reduce the challenges encountered while creating a timetable, several methods are employed, including genetic, heuristic, and resource schedulin...
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Smart industrial load switching enables the efficient control and management of electrical loads in industrial settings. The system aims to enable efficient control, monitoring, and automation of industrial loads. It ...
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