To better improve the electrical safety of buildings and fulfill the role of lightning protection and grounding, this article combines cases and discusses seven aspects of lightning protection devices’ construction technology. These aspects include the lightning protection classification of buildings, air terminals, down conductors, grounding devices, division of lightning protection zones, and lightning electromagnetic pulse shielding. Through the introduction of this article, readers can gain a comprehensive understanding of the application and value of lightning protection grounding construction technology in building electrical installation projects.
{"title":"Construction Technology of Lightning Protection Devices in Building Electrical Installation Engineering","authors":"Xuhong Du","doi":"10.26689/jera.v8i1.5860","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5860","url":null,"abstract":"To better improve the electrical safety of buildings and fulfill the role of lightning protection and grounding, this article combines cases and discusses seven aspects of lightning protection devices’ construction technology. These aspects include the lightning protection classification of buildings, air terminals, down conductors, grounding devices, division of lightning protection zones, and lightning electromagnetic pulse shielding. Through the introduction of this article, readers can gain a comprehensive understanding of the application and value of lightning protection grounding construction technology in building electrical installation projects.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"24 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper examines the management of hazardous chemicals in Chinese university laboratories, identifying keychallenges and proposing improvements. It reviews current practices and safety measures, highlighting deficiencies suchas inadequate safety systems and insufficient awareness among personnel. The study emphasizes the necessity of tailoredsafety management systems, the integration of digital tracking technologies like Radio Frequency Identification, andenhanced safety training for staff. The proposed recommendations aim to mitigate risks and enhance laboratory safety andefficiency. In conclusion, the paper asserts that a comprehensive approach, encompassing improved management systems,technological advancements, and educational initiatives, is essential for safer chemical handling in academic researchenvironments
{"title":"Enhancing Hazardous Chemical Management in Chinese University Laboratories: Strategies for Safety and Efficiency","authors":"Yizhe Li","doi":"10.26689/jera.v8i1.5980","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5980","url":null,"abstract":"This paper examines the management of hazardous chemicals in Chinese university laboratories, identifying keychallenges and proposing improvements. It reviews current practices and safety measures, highlighting deficiencies suchas inadequate safety systems and insufficient awareness among personnel. The study emphasizes the necessity of tailoredsafety management systems, the integration of digital tracking technologies like Radio Frequency Identification, andenhanced safety training for staff. The proposed recommendations aim to mitigate risks and enhance laboratory safety andefficiency. In conclusion, the paper asserts that a comprehensive approach, encompassing improved management systems,technological advancements, and educational initiatives, is essential for safer chemical handling in academic researchenvironments","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"9 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanshun Ma, Yi Shi, Yihang Song, Chenxiao Wu, Yuanzhi Liu
To enhance the safety of road traffic operations, this paper proposed a model based on stacking integrated learning utilizing American road traffic accident statistics. Initially, the process involved data cleaning, transformation, and normalization. Subsequently, various classification models were constructed, including logistic regression, k-nearest neighbors, gradient boosting, decision trees, AdaBoost, and extra trees models. Evaluation metrics such as accuracy, precision, recall, F1 score, and Hamming loss were employed. Upon analysis, the passive-aggressive classifier model exhibited superior comprehensive indices compared to other models. Based on the model’s output results, an in-depth examination of the factors influencing traffic accidents was conducted. Additionally, measures and suggestions aimed at reducing the incidence of severe traffic accidents were presented. These findings served as a valuable reference for mitigating the occurrence of traffic accidents.
{"title":"Analysis of Traffic Accidents Based on the Integration Model","authors":"Yanshun Ma, Yi Shi, Yihang Song, Chenxiao Wu, Yuanzhi Liu","doi":"10.26689/jera.v8i1.5933","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5933","url":null,"abstract":"To enhance the safety of road traffic operations, this paper proposed a model based on stacking integrated learning utilizing American road traffic accident statistics. Initially, the process involved data cleaning, transformation, and normalization. Subsequently, various classification models were constructed, including logistic regression, k-nearest neighbors, gradient boosting, decision trees, AdaBoost, and extra trees models. Evaluation metrics such as accuracy, precision, recall, F1 score, and Hamming loss were employed. Upon analysis, the passive-aggressive classifier model exhibited superior comprehensive indices compared to other models. Based on the model’s output results, an in-depth examination of the factors influencing traffic accidents was conducted. Additionally, measures and suggestions aimed at reducing the incidence of severe traffic accidents were presented. These findings served as a valuable reference for mitigating the occurrence of traffic accidents.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"45 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The article explores the application of artificial intelligence technology in electric guitar playing. It delvesinto the advantages of artificial intelligence and its seamless integration into electric guitar performance. Additionally, itinvestigates the application of artificial intelligence technology through an intelligent playing robot. The research aims tooffer substantial support for the advancement of artificial intelligence in electric guitar performance.
{"title":"Research and Application of Artificial Intelligence in Electric Guitar Performance","authors":"Tianchang Li","doi":"10.26689/jera.v8i1.5939","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5939","url":null,"abstract":"The article explores the application of artificial intelligence technology in electric guitar playing. It delvesinto the advantages of artificial intelligence and its seamless integration into electric guitar performance. Additionally, itinvestigates the application of artificial intelligence technology through an intelligent playing robot. The research aims tooffer substantial support for the advancement of artificial intelligence in electric guitar performance.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"4 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140503662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article explores the topic of fault diagnosis and maintenance strategies for instrument automation control systems, analyzing them through specific cases. The aim of this research is to improve the stability and reliability of the system by conducting a thorough investigation of faults and maintenance in instrument automation control systems. By doing so, this research hopes to provide a strong guarantee for the smooth progress of industrial production.
{"title":"Instrument Automation Control System Faults and Maintenance","authors":"Jianwei Li","doi":"10.26689/jera.v8i1.5859","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5859","url":null,"abstract":"This article explores the topic of fault diagnosis and maintenance strategies for instrument automation control systems, analyzing them through specific cases. The aim of this research is to improve the stability and reliability of the system by conducting a thorough investigation of faults and maintenance in instrument automation control systems. By doing so, this research hopes to provide a strong guarantee for the smooth progress of industrial production.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"23 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140503747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the introduction of the “dual carbon goals,” there has been a robust development of distributed photovoltaicpower generation projects in the promotion of their construction. As part of this initiative, a comprehensive and systematicanalysis has been conducted to study the overall benefits of photovoltaic power generation projects. The evaluation processencompasses economic, technical, environmental, and social aspects, providing corresponding analysis methods and datareferences. Furthermore, targeted countermeasures and suggestions are proposed, signifying the research’s importance forthe construction and development of subsequent distributed photovoltaic power generation projects.
{"title":"Comprehensive Benefit Evaluation of SZ Distributed Photovoltaic Power Generation Project Based on AHP-Matter-Element Extension Model","authors":"Shuli Jing","doi":"10.26689/jera.v8i1.6032","DOIUrl":"https://doi.org/10.26689/jera.v8i1.6032","url":null,"abstract":"With the introduction of the “dual carbon goals,” there has been a robust development of distributed photovoltaicpower generation projects in the promotion of their construction. As part of this initiative, a comprehensive and systematicanalysis has been conducted to study the overall benefits of photovoltaic power generation projects. The evaluation processencompasses economic, technical, environmental, and social aspects, providing corresponding analysis methods and datareferences. Furthermore, targeted countermeasures and suggestions are proposed, signifying the research’s importance forthe construction and development of subsequent distributed photovoltaic power generation projects.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"241 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emotional electroencephalography (EEG) signals are a primary means of recording emotional brain activity.Currently, the most effective methods for analyzing emotional EEG signals involve feature engineering and neuralnetworks. However, neural networks possess a strong ability for automatic feature extraction. Is it possible to discardfeature engineering and directly employ neural networks for end-to-end recognition? Based on the characteristics of EEGsignals, this paper proposes an end-to-end feature extraction and classification method for a dynamic self-attention network(DySAT). The study reveals significant differences in brain activity patterns associated with different emotions acrossvarious experimenters and time periods. The results of this experiment can provide insights into the reasons behind thesedifferences.
{"title":"An Affective EEG Analysis Method Without Feature Engineering","authors":"Jian Zhang, Chunying Fang, Yanghao Wu, Mingjie Chang","doi":"10.26689/jera.v8i1.5938","DOIUrl":"https://doi.org/10.26689/jera.v8i1.5938","url":null,"abstract":"Emotional electroencephalography (EEG) signals are a primary means of recording emotional brain activity.Currently, the most effective methods for analyzing emotional EEG signals involve feature engineering and neuralnetworks. However, neural networks possess a strong ability for automatic feature extraction. Is it possible to discardfeature engineering and directly employ neural networks for end-to-end recognition? Based on the characteristics of EEGsignals, this paper proposes an end-to-end feature extraction and classification method for a dynamic self-attention network(DySAT). The study reveals significant differences in brain activity patterns associated with different emotions acrossvarious experimenters and time periods. The results of this experiment can provide insights into the reasons behind thesedifferences.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"14 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140504787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to further analyze the micro-motion modulation signals generated by rotating components and extractmicro-motion features, a modulation signal denoising algorithm based on improved variational mode decomposition (VMD)is proposed. To improve the time-frequency performance, this method decomposes the data into narrowband signalsand analyzes the internal energy and frequency variations within the signal. Genetic algorithms are used to adaptivelyoptimize the mode number and bandwidth control parameters in the process of VMD. This approach aims to obtain theoptimal parameter combination and perform mode decomposition on the micro-motion modulation signal. The optimalmode number and quadratic penalty factor for VMD are determined. Based on the optimal values of the mode numberand quadratic penalty factor, the original signal is decomposed using VMD, resulting in optimal mode number intrinsicmode function (IMF) components. The effective modes are then reconstructed with the denoised modes, achieving signaldenoising. Through experimental data verification, the proposed algorithm demonstrates effective denoising of modulationsignals. In simulation data validation, the algorithm achieves the highest signal-to-noise ratio (SNR) and exhibits the bestperformance.
{"title":"Research on Modulation Signal Denoising Method Based on Improved Variational Mode Decomposition","authors":"CanYu Mo, Qianqiang Lin, Yuanduo Niu, Haoran Du","doi":"10.26689/jera.v8i1.6026","DOIUrl":"https://doi.org/10.26689/jera.v8i1.6026","url":null,"abstract":"In order to further analyze the micro-motion modulation signals generated by rotating components and extractmicro-motion features, a modulation signal denoising algorithm based on improved variational mode decomposition (VMD)is proposed. To improve the time-frequency performance, this method decomposes the data into narrowband signalsand analyzes the internal energy and frequency variations within the signal. Genetic algorithms are used to adaptivelyoptimize the mode number and bandwidth control parameters in the process of VMD. This approach aims to obtain theoptimal parameter combination and perform mode decomposition on the micro-motion modulation signal. The optimalmode number and quadratic penalty factor for VMD are determined. Based on the optimal values of the mode numberand quadratic penalty factor, the original signal is decomposed using VMD, resulting in optimal mode number intrinsicmode function (IMF) components. The effective modes are then reconstructed with the denoised modes, achieving signaldenoising. Through experimental data verification, the proposed algorithm demonstrates effective denoising of modulationsignals. In simulation data validation, the algorithm achieves the highest signal-to-noise ratio (SNR) and exhibits the bestperformance.","PeriodicalId":508251,"journal":{"name":"Journal of Electronic Research and Application","volume":"44 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140503720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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