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共 2966 条记录，以下是21-30 订阅

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Short-Term Power Load Forecasting Based on Feature Selection and Improved Gaussian process Regression 2

Short-Term Power Load Forecasting Based on Feature Selection...

引用

2nd IEEE international conference on Sensors, Electronics and computer Engineering, ICSECE 2024

作者： Yue, Shouzhi Guangzhou Power Supply Bureau of Guangdong Power Grid Co. Ltd Guangzhou China

ISBN: (纸本)9798350373646

In order to overcome the influence of many factors on electricity load and to adapt to the complex power system environment of today, this paper proposes a short-term forecast of electricity load based on feature selection and improved Gaussian process regression. First, the original feature data and load data were input into the Max-Relevance and Min-Redundancy algorithm for feature selection to obtain the feature set with the greatest correlation with the load and the least redundancy among the features;then the GPR model optimized by the GWO algorithm was trained with this feature set, and the trained prediction model was obtained by iteratively updating the parameters. Finally, the effectiveness and accuracy of this method were verified through actual case simulation, and the evaluation indexes of other models were compared to verify that the feature selection and hyperparameter search part of this method is beneficial to improve the prediction accuracy. © 2024 IEEE.

关键词： Prediction models

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Integrating Time Study and Discrete Event simulation to Evaluate Manpower Planning 2

Integrating Time Study and Discrete Event Simulation to Eval...

引用

2nd international conference on Computational modelling, simulation and Optimization, ICCMSO 2023

作者： Halim, Enrico Perwira Redi, A.A.N. Liman, Surya Danusaputro Sampoerna University Faculty of Engineering and Technology Department of Industrial Engineering Jakarta Indonesia

ISBN: (纸本)9798350326666

In the context of a service company, the implementation of an optimal manpower planning strategy is paramount to ensure smooth and effective operations. To this end, the present research paper leverages the techniques of time study and discrete event simulation to conduct a comprehensive evaluation of the workload borne by recruiters in an outsourcing company. The primary objective of this study is to gauge the standard time required for critical tasks such as curriculum vitae (CV) screening and interviews, subsequently utilizing the simulation model to scrutinize the utilization of the existing manpower planning strategy. Through the implementation of the simulation model, we are able to predict the amount of time needed for the company to complete a project, given particular parameters. The findings suggest that the bottleneck in the recruitment process of the company is in the sourcing process. It is recommended that the company strategically attract high-quality applicants instead of accepting any random applicants. This approach can help reduce operational costs associated with processing low-quality applicants, minimize delays in project completion, and improve overall efficiency. © 2023 IEEE.

关键词： Discrete event simulation

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Research on Optimization simulation System of Online Trading System Based on Information processing 2

Research on Optimization Simulation System of Online Trading...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Zhou, Liping Guangzhou Huashang Vocational College Digital Commerce Sub-College Guangzhou China

ISBN: (纸本)9798350368208

With the rapid development of Internet technology and the continuous growth of the e-commerce industry, online trading systems have become one of the important infrastructures of economic activities. However, in the face of the surge in transaction volume and the increasing diversification of user needs, traditional online trading systems face multiple challenges, including high concurrent processing, data security, system stability, response speed and optimization of user experience. To meet these challenges, this paper proposes an optimization simulation system for online trading systems based on information processing technology. The system integrates simulation modeling technology to simulate real transaction scenarios, analyze the information processing bottlenecks in the transaction process, and optimize the architecture, algorithm and security mechanism of the transaction system. This paper constructs a simulation system based on the Agent modeling method, proposes a concurrent processing optimization scheme based on an improved load balancing algorithm, and designs a multi-level security protection system to improve the security of the system. Through simulation experiments, the significant advantages of the algorithm in this paper in terms of processing speed, throughput, system stability and user experience are verified. The simulation results show that the optimization algorithm proposed in this paper improves the overall performance of the system by 18.5%, shortens the response time by 25%, and improves the security of the system by 15%. © 2024 IEEE.

关键词： Marketplaces

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Research on the Analysis of Driving Forces of Scientific and Technological Innovation and the Construction of Classification Evaluation Model for New Power Systems 2

Research on the Analysis of Driving Forces of Scientific and...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Yingxuan, Yang Electric Power Research Institute State Grid Liaoning Electric Power Supply Co. Ltd. Shenyang China

ISBN: (数字)9798350368208

ISBN: (纸本)9798350368208

Firstly, an evaluation index system containing multi-dimensional driving force factors is constructed, including key elements such as technology research and development, policy support, and market demand. Subsequently, the driving forces are ranked based on the PageRank algorithm, and their importance weights in the innovation process of the power system are calculated. Through simulation analysis, this model can accurately evaluate the impact of each driving force on the innovation of the power system. The simulation results show that in the selected cases, the driving force weight of technology research and development is the highest, accounting for 45.3%;policy support and market demand are second, accounting for 28.1% and 18.6% respectively. In addition, through the classification function of the model, the relative priority of different innovation driving forces is clarified, providing a decision-making basis for the optimal allocation of scientific and technological resources. The results show that the driving force classification evaluation model based on the PageRank algorithm effectively improves the ranking accuracy of innovation elements and has strong practicality and promotion value. © 2024 IEEE.

关键词： Power system simulation

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Combining computer simulation Visualization and Multi-Objective Optimization Algorithm for Urban Light Pollution Research 2

Combining Computer Simulation Visualization and Multi-Object...

引用

2nd IEEE international conference on Image processing and computer Applications, ICIPCA 2024

作者： Zhang, Yuhang Beijing Technology and Business University Beijing China

ISBN: (纸本)9798350360240

This study aims to solve the problem of urban light pollution by establishing a series of models to achieve the best balance between economy and efficiency. Firstly, we decompose the complex problem into a simple one and establish a light pollution risk level evaluation model, a light pollution threshold differential equation model, a lighting system optimisation strategy model and a Poisson process simulation model validation. In Model I, we use hierarchical analysis and Topsis algorithm, combined with multiple attribute data, to determine the evaluation indexes of light pollution risk level, and effectively classify the light pollution risk level of the area. In Model II, we used the differential equation model to find out the light intensity threshold, and the results showed the diversity of different regions. In Model III, a multi-objective optimisation algorithm is used to achieve the balance of time, light intensity threshold and light range through the lighting system optimisation strategy. Model IV combines the data from Beijing and Shanghai and calculates the number of times residents exceed the permitted use of light using a Poisson distribution. © 2024 IEEE.

关键词： Poisson distribution

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Research on Entrepreneurship Multi-dimensional computer-Assisted Intelligent Evaluation Model Based on Machine Learning 2

Research on Entrepreneurship Multi-dimensional Computer-Assi...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： He, Yuefei Shanghai University School of Management China

ISBN: (纸本)9798350368208

This study constructs a multi-dimensional computer-assisted intelligent evaluation model for entrepreneurship based on machine learning, with the aim of improving the accuracy and efficiency of entrepreneurial project evaluation. This model achieves efficient and multidimensional analysis of entrepreneurial projects by building an intelligent evaluation framework covering important steps such as data preprocessing, feature extraction, and algorithm planning. The model uses data mining technology to extract key indicators from multiple aspects, and then uses machine learning algorithms to classify, predict, and comprehensively evaluate entrepreneurial projects. It is particularly important to point out that algorithms such as random forests and support vector machines are introduced in the model design process, which greatly improves the accuracy and stability of predictions. The simulation experiment confirms the effectiveness of the model, and the results show that the model has achieved excellent results in all evaluation dimensions: the accuracy rate reaches 92.3%, the error rate is controlled within 5%, and the evaluation efficiency is improved by more than 30% compared with traditional methods. © 2024 IEEE.

关键词： Adversarial machine learning

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Research on Intelligent Optimisation Decision Making of Production process Based on Adaptive Sampling and Genetic Algorithm 2

Research on Intelligent Optimisation Decision Making of Prod...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Zhang, Bohan Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350368208

This paper focuses on the application of optimisation algorithms for intelligent optimisation decisions in production processes. Focusing on adaptive sampling methods, 0-1 planning models and genetic algorithms construct mathematical models to optimise the decision-making of inspection and disassembly and maximise the revenue index. Firstly, the simulation generates spare parts data and compares the four sampling and detection methods, and finally identifies adaptive stepwise sampling as the best choice;secondly, the decision variables are analysed by the 0-1 planning model to establish a functional relationship between the revenue index and the cost and sales, and to identify the key influencing factors;and finally, the 0-1 integer planning model is optimised to search for the optimal decision combinations by using the global optimisation algorithm. Sampling errors are introduced to verify the stability of the adaptive stepwise sampling method in decision making and its effect on the revenue index. © 2024 IEEE.

关键词： Optimization algorithms

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Research on Athlete Scientific Training Management System Based on New computer Artificial Intelligence Technology 2

Research on Athlete Scientific Training Management System Ba...

引用

2nd IEEE international conference on Control, Electronics and computer Technology, ICCECT 2024

作者： Hu, Yi Liu, Jing Wuhan College of Arts & Science Hubei Wuhan430000 China Jose Rizal University Mandaluyong City1552 Philippines Suny New Paltz Department of Computer Science New York12561 United States

ISBN: (纸本)9798350380958

This paper firstly constructs a scientific and efficient auxiliary method for selecting and training athletes Athlete training expert system. The system collects information such as competition experience and training program obtained by coaches in the actual operation process. And through the integration of these tacit knowledge by computer, this paper is to build the corresponding knowledge base. Through Prolog programming, the functions of knowledge base and inference engine are combined. This paper establishes a professional sports training system with a hybrid program. The color and depth information provided by Kinect can be used to track different types of players in real time. Using standard serial interface, the 3D motion information of the player is imported into the computer, and the 3D spatial coordinates and motion rate are analyzed by dynamic time planning method. In this way, the sports characteristics of each type of players are obtained and the corresponding training programs are formulated accordingly. The effect of this method on improving the exercise ability is verified by the simulation test. © 2024 IEEE.

关键词： Expert systems

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Teaching Assembly Tasks to Robots Using a 3D simulation Environment 23

Teaching Assembly Tasks to Robots Using a 3D Simulation Envi...

引用

2nd international conference of the Greece-ACM-SIGCHI-Chapter (CHIGreece)

作者： Christos, Papadopoulos Christos, Katsanos Aristotle Univ Thessaloniki Dept Informat Thessaloniki Greece

ISBN: (纸本)9798400708886

Today, many factories use robots for intensive and repetitive work. Programming these robots is typically costly and time-consuming, and requires specialized expertise, hardware or non-expert employees interacting with expensive robots. In this paper, a new approach for teaching assembly tasks to robots is proposed. The user demonstrates the assembly task using a web browser in 3D and then simulates the robotic execution to promptly assess the outcome of the teaching process. A within-subjects user testing study compared the proposed simulation-based approach against a state-of-the-art computer vision-based approach. Participants were asked to teach a real-world LCD TV assembly task to a robot using both approaches. Results showed that users of the proposed simulation-based system had significantly lower time on task values and were significantly more likely to prefer it compared to the computer vision-based system. No significant difference was observed in task success rates and SUS scores.

关键词： Human-robot interaction Teaching from demonstration 3D simulation Robotic assembly

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Optimization of Agricultural Planting Resource Allocation Based on Particle Swarm Optimization and Monte Carlo simulation 2

Optimization of Agricultural Planting Resource Allocation Ba...

引用

2nd IEEE international conference on Electrical, Automation and computer Engineering, ICEACE 2024

作者： Xie, Lipeng Wang, Hao Li, Kaiwen Sichuan Institute of Technology Deyang China

ISBN: (纸本)9798350368208

This paper aims to optimize the allocation of agricultural planting resources and enhance agricultural production efficiency and economic benefits through data preprocessing, outlier detection, linear analysis, and a multi-variable linear programming optimization model. Initially, we preprocessed the data, including handling missing values and data visualization, to ensure data quality and the effectiveness of the models. During the data preprocessing phase, we employed the 3σ principle and boxplots for outlier detection and utilized scatter plots and the Pearson correlation coefficient to analyze the linear relationships between variables. Subsequently, we established a multi-variable linear programming model that addresses the uncertainties in expected sales volume, planting costs, yields per acre, and sales prices through Monte Carlo simulation and Particle Swarm Optimization (PSO). The objective of the model is to maximize the total revenue from crops while meeting planting and growth constraints. Through the iterative process of the Particle Swarm Optimization algorithm, we obtained the optimal planting plan and generated the corresponding convergence chart. Ultimately, this paper provides data-driven decision support for crop planting planning from 2024 to 2030. © 2024 IEEE.

关键词： Data Preprocessing Linear Analysis Monte Carlo simulation Multi-variable Linear Programming Outlier Detection Particle Swarm Optimization

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