As quantum computing progresses, the need for optimized task allocation and scheduling becomes paramount to efficiently harness quantum resources. Simultaneously, ensuring the security of communications in quantum sys...
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In the era of centralized clouds, multi-cloud, and edge computing, adaptable observability is essential to efficiently manage the growing volume of metrics data. Observability Volume Manager (OVM) addresses the comple...
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Vertical transportation systems, such as elevators and escalators, are essential components of modern infrastructure, necessitating robust safety mechanisms to ensure user well-being. This paper proposes an Internet o...
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Robust security is vital in cloud computing due to the proliferation of sensitive data. This paper presents an innovative quantum-based security framework to address emerging threats. Measurement-Device-Independent Qu...
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The rapid advances in Artificial Intelligence (AI), microservices architecture, and cloud computing highly impact airlines in optimizing reservation systems. This review paper attempts to analyze the ongoing trend, ch...
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The deployment of renewable energy sources (RES) in power systems used to be a major challenge owing to their intermittent and uncertain nature. Therefore, in this paper, the use of ML models as an intelligentcontrol...
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To enhance the contour accuracy of biaxial systems, this paper proposes a compensation method that models independent single-axis systems and then couples multiple servo axes through model predictive control algorithm...
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The purpose of this paper is to propose a panoramic human-machine collaborative training system that can adapt to new energy grid-connected operation conditions, simulate various complex situations, and provide regula...
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ISBN:
(数字)9781510688902
ISBN:
(纸本)9781510688896
The purpose of this paper is to propose a panoramic human-machine collaborative training system that can adapt to new energy grid-connected operation conditions, simulate various complex situations, and provide regulators with simulation exercises, intelligent deductions, decision-making references, Q&A services, which provide intelligent reference solutions for precise regulation under new energy access scenarios with high percentage of new energy under a new type of power system. In order to enhance training effectiveness and operational efficiency, it is need to apply intelligent technology and data-driven models instead of experience and human labor. Interactive Q&A application such as Chat GPT has subversively changed the implementation mode of the training process, making the traditional teaching of theory and basic knowledge easier and faster. However, these commercial Q&A systems still have limitations in terms of accuracy, security, as well as professionalism, which makes them inefficient in professional learning area. In this paper, we use the idea of parallel control and the transformer model to construct a human-computer cooperative training system adapted to new energy grid-connected electric power systems, which realize a human-computer cooperative training model that highly integrates the Q&A services with the real trainer, the real trainees, the computer simulation system. By constructing a large model of human-computer system, a training computing experiment platform, as well as a system with a closed loop of training reality, the parallel training will help training program planning, training teaching design, training arrangements, teaching interaction and other key training links, and realize automated and intelligent training design and execution. As a training and management model adapted to the situation of artificial intelligence, parallel training will bring brand new possibilities for the development of the training industry in the intellige
The proceedings contain 56 papers. The topics discussed include: contrastive learning regularization method for information extraction of floating raft aquaculture;fractional-order adaptive sliding mode projective syn...
ISBN:
(纸本)9798331516147
The proceedings contain 56 papers. The topics discussed include: contrastive learning regularization method for information extraction of floating raft aquaculture;fractional-order adaptive sliding mode projective synchronization of different hyperjerk systems;intelligent supplier evaluation and selection module for fast-moving consumer goods;filtered sliding mode tracking controller for robot joint using linear matrix inequalities design;optimization algorithm for global k-means algorithm;enhancing product bundling with large language models;hyperspectral image analysis using maximum abundance classification;invariant set analysis and control synthesis of multi-equilibrium switched systems under control constraints;and a framework for solving quadratic knapsack problem based on deep reinforcement learning.
The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault dia...
ISBN:
(纸本)9798331529246
The proceedings contain 298 papers. The topics discussed include: design and implementation of artificial intelligence-driven network intrusion detection system;comparative study of intelligent algorithms in fault diagnosis of aviation mechanical systems;design and implementation of network intrusion detection system based on machine learning;evaluation of teaching quality in higher mathematics courses based on artificial neural networks;research on mechanical automation control based on bidirectional long short-term memory;intelligent mapping technology for single line diagram and layered diagram of intelligent distribution network;a comprehensive analysis of knowledge graph-based social recommendation system;and networks assessment of regional economic development level prediction with deep graph convolutional network.
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