With the rapid development of high-speed railway technology, the reliability of track circuit system becomes the key to ensure the safe operation of trains. ZPW-2000A track circuit system is the core component of high...
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Web applications many fields requirement to fulfill. One of them, design is one of the important. This research can help users search for interface design recommendations that have been listed. This system allows user...
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The article discusses the utilization of Building Information Modeling (BIM) technology in the design phase of liquid bulk cargo terminals with high pile structures. It employs the Analytic Hierarchy Process to analyz...
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The smart grid architecture, which represents a deep integration of information technology and power systems, brings many conveniences to people. However, due to the highly open communication network and complex infor...
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ISBN:
(纸本)9798350350319;9798350350302
The smart grid architecture, which represents a deep integration of information technology and power systems, brings many conveniences to people. However, due to the highly open communication network and complex information interaction environment, it also faces more security risks. Existing intrusion detection algorithms based on machine learning cannot cope with the increasing features in the Energy Internet. To address this issue, this paper proposes the Improved Gravitational Search Algorithm (IGSA) for feature selection. Our core idea is to utilize IGSA for efficient feature selection, reducing the learning cost of machine learning methods and improving detection accuracy. Furthermore, to enhance the algorithm's global search capability and robustness, a novel elite selection strategy and adaptive mutation strategy are introduced. Experimental results on three public datasets demonstrate that IGSA improves detection accuracy by an average of 11.14% compared to other feature selection methods.
With the expansion of the scale and complexity of power engineering construction, the traditional management mode is facing severe challenges. As an important tool of information construction, BIM technology has shown...
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This paper addresses the consensus problem of nonlinear multi-agent system with fixed parameter switching. A consensus protocol for quantity limitied controller based on fixed parameter switching is proposed. The resu...
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In order to promote the application of artificial intelligence in multiple fields, a domestic intelligent acceleration module based on the Iluvatar CoreX MR100 chip was designed. The hardware design and software adapt...
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Reconfigurable intelligent Surface (RIS) has become a key technology that play a vital role in communication or radar systems. Consider a multiple-input single-output (MISO) downlink system assisted by RIS with a legi...
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With the increasing complexity and demand of modern power systems, traditional methods of managing AC filters are facing challenges, highlighting the need for innovative solutions. Digital Twin technology, which creat...
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The proceedings contain 102 papers. The topics discussed include: the development of individualized assignment generator;artificial intelligence technologies in higher education: reality and challenges;drowsiness dete...
ISBN:
(纸本)9798350368697
The proceedings contain 102 papers. The topics discussed include: the development of individualized assignment generator;artificial intelligence technologies in higher education: reality and challenges;drowsiness detection system using mobile application development;evaluating handheld spectroscopic techniques and machine learning algorithms;towards efficient diabetic retinopathy diagnosis: a comparative study of classification techniques;classification of date fruits into genetic varieties using image analysis;enhancing freezing of gait prediction in Parkinson’s disease using machine learning and explainable ai;design of a mechatronic endoskeleton robot for inspection tasks: model reference adaptive control (MRAC) for serpentine locomotion with stability analysis;and role of deep learning models in intelligent classification of various date fruit bunches.
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