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检索条件"任意字段=3rd IEEE International Conference on Electrical Engineering, Big Data and Algorithms, EEBDA 2024"

共 316 条记录，以下是21-30 订阅

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Integrated Testing System for Substation Relay Protection Devices Based on Cloud Date Interaction 3

Integrated Testing System for Substation Relay Protection De...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Gao, Bingwei Zhao, Zhanglei Ye, Chao Mei, Hong Liu, Xi State Grid Wenzhou Power Supply Company Wenzhou China

ISBN: (纸本)9798350380989

With the expansion of the power grid, the number of secondary equipment in intelligent substations has significantly increased. We should put forward higher requirements for the quality and speed of equipment testing and maintenance. In response to the lack of integrated testing methods for cross bay equipment in intelligent substations, and the existence of missed, over checked, and blind inspections in the maintenance for protective devices, we have built an integrated testing system for secondary equipment in substations based on cloud data interaction, and adopted an intelligent substation integrated testing method based on cloud data interaction to achieve integrated testing of cross bay equipment in intelligent substations. © 2024 ieee.

关键词： Cloud data interaction integrated testing relay protection

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Research on Distributed Parallelization of Improved Spectral Clustering Algorithm for big data 3

Research on Distributed Parallelization of Improved Spectral...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Yang, Han Tianjin University of Technology Tianjin China

ISBN: (纸本)9798350380989

In the field of data mining, clustering algorithms play a key role in extracting valuable insights from vast datasets without incorporating learning mechanisms. One such classical clustering approach is the spectral clustering algorithm. This algorithm effectively converts a clustering challenge into the segmentation of an undirected graph, enabling it to handle intricate non-convex datasets adeptly and avoid getting trapped in local optimization pitfalls. Nevertheless, the conventional spectral clustering technique relies on the Gaussian kernel function, which uses Euclidean distance to determine sample similarities. This method proves overly sensitive to the Gaussian kernel's parameters and fails to accurately represent inter-sample relationships. To address the drawbacks related to similarity measurement and the computational inefficiencies inherent in the traditional spectral clustering method, enhancements have been made to refine the clustering outcomes. The enhanced spectral clustering algorithm has been redesigned to be distributed and parallelized, a strategic move intended to bolster the processing ability when handling enormous datasets. © 2024 ieee.

关键词： big data data partitioning density-sensitive similarity distributed parallelizatlon Spectral clustering

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Civil Aviation Passenger Traffic Prediction Based on IGABP Algorithm Considering data Volume Limitation 3

Civil Aviation Passenger Traffic Prediction Based on IGABP A...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Liu, Xinyu Luo, Tingzhang Guo, Peixin School of Aeronautics Northwestern Polytechnical University Xi'an China School of Computer Science China University of Geosciences Wuhan China School of Transportation Engineering Chang'an University Xi'an China

ISBN: (纸本)9798350380989

Understanding civil aviation passenger traffic is critical for airlines to make key scientific decisions and feasible plans, and is an important safeguard to ensure successful implementation. An accurate prediction of China's civil aviation passenger traffic will provide effective decision support for airlines, helping them rationalize resources, optimize flight schedules, and improve operational efficiency. In this paper, considering the limitation of the amount of civil aviation passenger traffic data, an IGABP model is established under the condition of grasping the data characteristics, and a Genetic Algorithm (GA) is used to filter the features of the neural network and optimize the input features as well as the number of features, so as to predict the amount of civil aviation passenger traffic. © 2024 ieee.

关键词： Civil aviation passenger traffic GA IGABP MAE MAPE MSE

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SGBCD: A data Discretization Algorithm Based on Granular-ball Computing and Attribute Significance 3

SGBCD: A Data Discretization Algorithm Based on Granular-bal...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Chen, Weiqi Chongqing Vocational College of Transportation Chongqing China

ISBN: (纸本)9798350380989

As an important method in data preprocessing, discretization can effectively reduce the size of data, generate concise semantic representation, obtain valuable knowledge and information contained in big data, which is of great significance in the fields of data mining and machine learning. Nevertheless, most of the traditional discretization algorithms don't consider the distribution of sample and difficulty in setting parameters during interval partitioning, which leads to a decrease in efficiency and classification accuracy. A data discretization algorithm based on granular-ball computing and attribute significance is proposed in this paper, which is a multi-granularity method. Firstly, by introducing the granular-ball computing, the difficulty of parameter optimization is reduced and the efficiency of the algorithm is improved. At the same time, interval partitioning adaptively fits the original data distribution, reducing the occurrence of uneven interval partitioning and improving classification accuracy. Then, the randomness of attribute selection leads to instability in interval partitioning results. By introducing attribute significance and prioritizing the selection of attributes with high importance, this paper further improves the classification accuracy. Compared to other excellent discretization algorithms in the experiments, the proposed algorithm shows an ideal performance. © 2024 ieee.

关键词： attribute significance discretization granular-ball computing interval partitioning multi-granularity

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Research on Weather Process Similarity Based on 3D CNN Autoencoder 3

Research on Weather Process Similarity Based on 3D CNN Autoe...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Cheng, Xingguo Zhou, Yajing Li, Zeping School of Software Engineering South China University of Technology Guangzhou China

ISBN: (纸本)9798350380989

This article proposes a weather process similarity and retrieval algorithm based on a 3D CNN Autoencoder. It uses 3D CNN to extract features of weather elements in multi-dimensional space. The encoder outputs a one-dimensional vector of size 512. The cosine similarity between two weather processes is then calculated based on the two one-dimensional vectors, representing their similarity. Experimental data demonstrates the effectiveness of this algorithm. By searching historical weather processes based on the forecast date and referring to the evolution of historical weather processes, it provides positive guidance for current weather forecasts. © 2024 ieee.

关键词： Autoencoder cosine similarity decoder encoder weather process similarity

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Design and Research of Power Grid data Transmission System Based on LoRa Technology 3

Design and Research of Power Grid Data Transmission System B...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Siyu, Chen Hang, Sun Yiqun, Wang Lingyi, Tang Xiaojing, Song Fengzhu, Hao Guizhou Power Grid Co. Ltd. Guiyang Power Supply Bureau Guiyang China

ISBN: (纸本)9798350380989

This study introduces LoRa technology to build a new generation of power grid data transmission communication platform, studies the direct communication method between the main station system and the electricity meter, and studies the feasibility of using LoRa technology instead of GPRS/CDMA technology in the data transmission system of the power grid. The communication network formed by LoRa technology can play an increasingly important role in the fields of smart grid lines, smart distribution networks, smart power supply networks, and smart electricity safety in the future, providing a 'last mile' wireless communication network capability supplement for the existing wired private network of Southern Power Grid. © 2024 ieee.

关键词： data transmission system LoRa technology Power grid

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Research on Computer Synchronous Production Automation System of Animation Manual Based on Artificial Intelligence 3

Research on Computer Synchronous Production Automation Syste...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Zhang, Xiaoxu Heilongjiang Polytechnic Harbin China

ISBN: (纸本)9798350380989

This paper introduces a method of combining virtual reality and Unity3D to conduct animation demonstration of animation products. The purpose is to improve the digital display on animation products. The embedded development software based on Visual C++ realizes the virtual reality of the animation demonstration system based on Vega Prime of the visual simulation. The system includes the 3D animation module of the animation manual, including the information collection module, the database model, the 3D reconstruction module, and the visual simulation module. By using VR programming method, the 3D animation demonstration system of cartoon hand is designed in virtual reality, and the entity modeling of the animation demonstration system and the effect of the animation demonstration are analyzed by using 3 dsMAX. Simulation experiments show that the proposed algorithm has good output performance and display effect. © 2024 ieee.

关键词： 3D animation display Animation manual products simulation analysis visual simulation VR technology

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Phishing Web Page Detection Based on data Enhancement and Feature engineering 3

Phishing Web Page Detection Based on Data Enhancement and Fe...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Zhu, Anran Wu, Ping Hu, Xiangyu School of Computing and Artificial Intelligence Southwest Jiaotong University Sichuan Chengdu China

ISBN: (纸本)9798350380989

Phishing, a deceptive cyberattack technique, poses a significant threat to online users by tricking them into disclosing personal or financial information through counterfeit web pages that impersonate legitimate ones. This paper explores data enhancement and feature engineering techniques as a means to improve the performance of phishing web page detection methods. data enhancement involves methods like data augmentation, oversampling, and undersampling, which aim to balance class distribution and enhance data diversity and quality. These techniques are essential to mitigate the data imbalance issue often encountered in phishing detection datasets. Feature engineering techniques, including feature selection, extraction, and transformation, are introduced to reduce data dimensionality and enhance the discriminative power of features. The proposed approach is experimentally validated, providing a valuable resource for improving online security in the face of evolving cyber threats. This work lays the foundation for future research in the domain of phishing detection, addressing a critical issue in cybersecurity. © 2024 ieee.

关键词： cybersecurity data enhancement detection feature engineering techniques Phishing

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PJ-ADMM Based Parallel Energy Sharing Mechanism Between Prosumer Aggregator and Charging Station 3

PJ-ADMM Based Parallel Energy Sharing Mechanism Between Pros...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Wang, Hongli Yang, Jun Liao, Fengran Jia, Legang Du, Nianjiang Li, Tianhui School of Electrical Engineering and Automation Wuhan University Hubei Engineering and Technology Research Center for Ac Dc Intelligent Distribution Network Wuhan China State Grid Yantai Power Supply Company Yantai China

ISBN: (纸本)9798350380989

Flexible resources such as renewable energy and electric vehicles are expanding. In order to efficiently utilize the energy from various types of prosumers, an energy sharing market mechanism between prosumer aggregator and charging stations is proposed. Based on the PJ-ADMM algorithm, the proposed mechanism is capable of parallel iterative computation to realize market clearing. We validate the effectiveness of the proposed mechanism through a case study. After participating in energy sharing, the social welfare is improved and the resources can be optimally allocated. © 2024 ieee.

关键词： charging station energy sharing PJ-ADMM prosumer

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Optimization Research on Vegetable Sales in Supermarkets Based on Greedy Algorithm and ARIMA Time Series Model 3

Optimization Research on Vegetable Sales in Supermarkets Bas...

引用

3rd ieee international conference on electrical engineering, big data and algorithms, eebda 2024

作者： Han, Jun Fu, You Zhang, Heyun Shanghai International Studies University Shanghai China

ISBN: (纸本)9798350380989

With the rapid development of digitalization, it is particularly important to provide superstores with accurate information on market demand and trends, and to help them develop reasonable replenishment plans and pricing strategies. This paper aims to improve the competitiveness and operational efficiency of superstores by establishing various mathematical models. For the vegetable merchandising problem, firstly, data cleaning, analysis and visualization are carried out to analyze the relationship between the sales of six categories of vegetables using Pearson's correlation coefficient and construct a multiple linear regression model to describe the sales volume;secondly, considering the cyclical relationship between the vegetable sales volume and the time, the sales volume and the wholesale price of the coming week are predicted by the ARIMA time-series model, and a mathematical planning model;finally, the greedy algorithm was applied to solve the model to derive the daily replenishment and pricing strategy for the coming week. © 2024 ieee.

关键词： ARIMA Time Series Greedy Algorithm Mathematical Modeling Multiple Linear Regression

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