Diabetes is a serious chronic disease and successful prediction can effectively improve early intervention and subsequent treatment. Nowadays, machine learning technology is gradually attracting people’s attention in diabetes prediction. However, previous research is relatively limited for now. This review systematically and comprehensively reviews the current status of diabetes prediction, the application of machine learning in this field, and the current challenges faced by machine learning. First, the epidemiological characteristics of diabetes and the background of the rise of machine learning in the medical field are introduced. Secondly, the latest progress and typical cases of machine learning technology in diabetes prediction are discussed. Subsequently, the methods and challenges of data collection and feature processing are discussed in detail, as well as commonly used machine learning models and their evaluation methods. We will further comprehensively analyze the main findings and results of existing research, evaluate the application effect of machine learning in diabetes prediction, and look forward to future research directions and development trends. This review will provide researchers with a comprehensive guide to the latest advances and methods of machine learning in diabetes prediction and promote further research and applications in related fields.
{"title":"Research on Diabetes Prediction Based on Machine Learning","authors":"Yixuan Li","doi":"10.61173/a8wgtn61","DOIUrl":"https://doi.org/10.61173/a8wgtn61","url":null,"abstract":"Diabetes is a serious chronic disease and successful prediction can effectively improve early intervention and subsequent treatment. Nowadays, machine learning technology is gradually attracting people’s attention in diabetes prediction. However, previous research is relatively limited for now. This review systematically and comprehensively reviews the current status of diabetes prediction, the application of machine learning in this field, and the current challenges faced by machine learning. First, the epidemiological characteristics of diabetes and the background of the rise of machine learning in the medical field are introduced. Secondly, the latest progress and typical cases of machine learning technology in diabetes prediction are discussed. Subsequently, the methods and challenges of data collection and feature processing are discussed in detail, as well as commonly used machine learning models and their evaluation methods. We will further comprehensively analyze the main findings and results of existing research, evaluate the application effect of machine learning in diabetes prediction, and look forward to future research directions and development trends. This review will provide researchers with a comprehensive guide to the latest advances and methods of machine learning in diabetes prediction and promote further research and applications in related fields.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"31 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378310","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 aims to provide a comprehensive analysis of the pros and cons of various lossless image compression algorithms for computer scientists, including RLE, Huffman coding, and LZ77. The pros and cons of different compression methods will be examined by various metrics such as space efficiency, space complexity, and time complexity. Each method will be tested upon various image file types, including BMP, TIFF, PPM, JPG, and PNG. The results indicated that Huffman encoding was particularly effective for PPM images, outperforming RLE and LZ77 with notably higher compression ratios. RLE had slightly higher compression ratios in compressing BMP files. TIFF images exhibit lower compressibility compared to BMP and PPM, but with Huffman encoding still demonstrating superior results. However, when lossless compression algorithms are applied to JPG and PNG images, they yield negative outcomes, indicating that JPG and PNG files have limited compressibility due to prior compression.
{"title":"Analyzing the Trade-offs in Lossless Image Compression Techniques:Insights for Computer Science Research","authors":"Ziming Lu","doi":"10.61173/99t0ga22","DOIUrl":"https://doi.org/10.61173/99t0ga22","url":null,"abstract":"This paper aims to provide a comprehensive analysis of the pros and cons of various lossless image compression algorithms for computer scientists, including RLE, Huffman coding, and LZ77. The pros and cons of different compression methods will be examined by various metrics such as space efficiency, space complexity, and time complexity. Each method will be tested upon various image file types, including BMP, TIFF, PPM, JPG, and PNG. The results indicated that Huffman encoding was particularly effective for PPM images, outperforming RLE and LZ77 with notably higher compression ratios. RLE had slightly higher compression ratios in compressing BMP files. TIFF images exhibit lower compressibility compared to BMP and PPM, but with Huffman encoding still demonstrating superior results. However, when lossless compression algorithms are applied to JPG and PNG images, they yield negative outcomes, indicating that JPG and PNG files have limited compressibility due to prior compression.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"99 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378179","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 continuous development of industrial technology, reverse engineering has become an effective way of research and processing in the development of new products and components. Reverse engineering analyses, deduces and researches the existing products, instruments or systems, and carries out transformation, development and innovation by understanding their principles and design functions. In terms of life, with the gradual enrichment of material life, most of the people are no longer limited to the practicality of material requirements, but also for the appearance of the aesthetic level is also rising. Through the use of reverse engineering technology, such as soap box shape design, motorbike plastic parts design, bicycle handle design and so on. In the field of archaeology, reverse engineering technology is a technology that meets the requirements of archaeology, under the premise of better protection of cultural relics, it plays a pioneering role in the dissemination of culture, especially non-material culture, and provides technical support for human archaeology and ancient text decipherment. For the above contents, this paper will make a comprehensive description, summarise and analyse the application results and development prospects of reverse engineering in some fields.
{"title":"An Overview of the Application of Reverse Engineering in Selected Fields","authors":"Tianke Wang","doi":"10.61173/g7vycc37","DOIUrl":"https://doi.org/10.61173/g7vycc37","url":null,"abstract":"With the continuous development of industrial technology, reverse engineering has become an effective way of research and processing in the development of new products and components. Reverse engineering analyses, deduces and researches the existing products, instruments or systems, and carries out transformation, development and innovation by understanding their principles and design functions. In terms of life, with the gradual enrichment of material life, most of the people are no longer limited to the practicality of material requirements, but also for the appearance of the aesthetic level is also rising. Through the use of reverse engineering technology, such as soap box shape design, motorbike plastic parts design, bicycle handle design and so on. In the field of archaeology, reverse engineering technology is a technology that meets the requirements of archaeology, under the premise of better protection of cultural relics, it plays a pioneering role in the dissemination of culture, especially non-material culture, and provides technical support for human archaeology and ancient text decipherment. For the above contents, this paper will make a comprehensive description, summarise and analyse the application results and development prospects of reverse engineering in some fields.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"133 3‐4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381411","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 main objective of this study was to analyze the multiple factors affecting heart disease using a binary logistic regression model. By examining the chart, this study draws many conclusions. Heart disease is at the forefront of mortality in China and even in the world. Thus, it is particularly important to explore its influencing factors. Through this study, chest pain type, resting electrocardiographic results, the slope of the peck exercise ST segment, and the maximum heart rate achieved were key factors affecting the occurrence of heart disease, and the prediction accuracy reached 86.05%, indicating that the conclusion is acceptable. The study provides more accurate strategies for the prediction of heart disease. This study fully explored the multiple influencing factors of heart disease; people should pay full attention to this indicator, maintain heart health, and be everyone’s responsibility. Protecting cardiovascular health is everyone’s responsibility. After all, health is the beginning of all work and good life.
本研究的主要目的是利用二元逻辑回归模型分析影响心脏病的多重因素。通过研究图表，本研究得出了许多结论。心脏病是中国乃至世界上死亡率最高的疾病。因此，探讨其影响因素尤为重要。通过本研究，胸痛类型、静息心电图结果、啄木鸟运动 ST 段斜率、达到的最大心率是影响心脏病发生的关键因素，预测准确率达到 86.05%，说明结论是可以接受的。该研究为心脏病的预测提供了更准确的策略。该研究充分挖掘了心脏病的多重影响因素，人们应充分重视这一指标，维护心脏健康，人人有责。保护心血管健康，人人有责。毕竟，健康是一切工作和美好生活的开始。
{"title":"Research on the Influencing factors of Heart Disease based on Binary Logistic Regression","authors":"Yuqi Guo","doi":"10.61173/n4wwgb21","DOIUrl":"https://doi.org/10.61173/n4wwgb21","url":null,"abstract":"The main objective of this study was to analyze the multiple factors affecting heart disease using a binary logistic regression model. By examining the chart, this study draws many conclusions. Heart disease is at the forefront of mortality in China and even in the world. Thus, it is particularly important to explore its influencing factors. Through this study, chest pain type, resting electrocardiographic results, the slope of the peck exercise ST segment, and the maximum heart rate achieved were key factors affecting the occurrence of heart disease, and the prediction accuracy reached 86.05%, indicating that the conclusion is acceptable. The study provides more accurate strategies for the prediction of heart disease. This study fully explored the multiple influencing factors of heart disease; people should pay full attention to this indicator, maintain heart health, and be everyone’s responsibility. Protecting cardiovascular health is everyone’s responsibility. After all, health is the beginning of all work and good life.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"154 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376174","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 current drug development process faces significant challenges of a high failure rate that results in substantial time and financial waste. This is primarily attributed to the lack of pre-clinical models capable of generating physiologically relevant data essential for accurate predictions during decision-making for advancing to costly clinical stages. Fortunately, advancements in cell culture technology and material fabrication techniques have given rise to an interdisciplinary innovation known as organ-on-chip/body-on-chip (OoC/BoC), offering unparalleled physiological relevance. This review aims to provide a comprehensive overview of the materials and techniques involved in engineering OoC/BoC systems, covering the sourcing of cells from diverse origins, tissue model creation, material processing for culturing these models and coupling single OoCs into complex BoC systems. Furthermore, the potential applications of OoCs/BoCs in drug discovery processes and personalized medicine are explored. Lastly, we discuss the significant potential of this technology to revolutionize the entire drug development pipeline and the way of drug administration, as well as address the key regulatory obstacles impeding the large-scale application of the technology. In summary, this review underlines the pivotal role of OoC/BoC technology in addressing current limitations in drug development, offering promising avenues for improving efficiency, reducing costs, and advancing personalized medicine.
{"title":"A Comprehensive Review of Organ-on-Chip/Body-on-Chip Systems: Engineering, Applications, and Potential Impact on Drug Development and Administration","authors":"Nanxi Jing","doi":"10.61173/evbyvr41","DOIUrl":"https://doi.org/10.61173/evbyvr41","url":null,"abstract":"The current drug development process faces significant challenges of a high failure rate that results in substantial time and financial waste. This is primarily attributed to the lack of pre-clinical models capable of generating physiologically relevant data essential for accurate predictions during decision-making for advancing to costly clinical stages. Fortunately, advancements in cell culture technology and material fabrication techniques have given rise to an interdisciplinary innovation known as organ-on-chip/body-on-chip (OoC/BoC), offering unparalleled physiological relevance. This review aims to provide a comprehensive overview of the materials and techniques involved in engineering OoC/BoC systems, covering the sourcing of cells from diverse origins, tissue model creation, material processing for culturing these models and coupling single OoCs into complex BoC systems. Furthermore, the potential applications of OoCs/BoCs in drug discovery processes and personalized medicine are explored. Lastly, we discuss the significant potential of this technology to revolutionize the entire drug development pipeline and the way of drug administration, as well as address the key regulatory obstacles impeding the large-scale application of the technology. In summary, this review underlines the pivotal role of OoC/BoC technology in addressing current limitations in drug development, offering promising avenues for improving efficiency, reducing costs, and advancing personalized medicine.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"22 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378977","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}
As an important fishery and tourism resource city in northern China, Qinhuangdao has experienced frequent red tide disasters in recent years, which has had a serious impact on the marine ecological environment and human life. This paper first analyzes the characteristics, causes, and influencing factors of red tide disasters in Qinhuangdao waters then summarizes the existing coping strategies for red tide disasters and finally puts forward the coping strategies for red tide disasters in Qinhuangdao waters.
{"title":"Overview of Red Tide Disasters in the Coastal Waters off Qinhuangdao","authors":"Xinhao Dong","doi":"10.61173/k5bj0b95","DOIUrl":"https://doi.org/10.61173/k5bj0b95","url":null,"abstract":"As an important fishery and tourism resource city in northern China, Qinhuangdao has experienced frequent red tide disasters in recent years, which has had a serious impact on the marine ecological environment and human life. This paper first analyzes the characteristics, causes, and influencing factors of red tide disasters in Qinhuangdao waters then summarizes the existing coping strategies for red tide disasters and finally puts forward the coping strategies for red tide disasters in Qinhuangdao waters.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"96 1s1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378197","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 popularization of electric vehicles, wireless charging technology has received widespread attention from all walks of life due to its advantages of safety, convenience and low cost, and has become the key development direction of electric vehicle charging technology. This study mainly focuses on inductively coupled power transmission, microwave power transmission, magnetic coupling resonant power transmission and electric field coupling power transmission four wireless charging technology on the current research status as well as the advantages and disadvantages of the technology between the overview, analyze the current urgent problems and the future development trend.
{"title":"A Review of Research Related to Wireless Charging Technology for Electric Vehicles","authors":"Yuhao Wu","doi":"10.61173/na456p69","DOIUrl":"https://doi.org/10.61173/na456p69","url":null,"abstract":"With the popularization of electric vehicles, wireless charging technology has received widespread attention from all walks of life due to its advantages of safety, convenience and low cost, and has become the key development direction of electric vehicle charging technology. This study mainly focuses on inductively coupled power transmission, microwave power transmission, magnetic coupling resonant power transmission and electric field coupling power transmission four wireless charging technology on the current research status as well as the advantages and disadvantages of the technology between the overview, analyze the current urgent problems and the future development trend.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381200","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 aims to discuss the factors affecting Beijing’s GDP. The data of this paper comes from the Beijing Statistical Yearbook. By reviewing relevant literature, this paper selects five variables with the highest probability and uses the method of multiple linear regression to analyze these five variables in Beijing in 1999-2018. Considering that the variables will affect each other, this paper also adopts the stepwise regression method to solve the problem of multicollinearity. The final results show that import and export trade and the total retail sales of social commodities in Beijing have a significant impact on Beijing’s GDP. In contrast, the total investment in fixed assets, resident population, and total energy consumption do not pass the significance test. In conclusion, Beijing’s GDP is affected by import and export trade and total retail sales of social commodities in Beijing. Beijing should pay attention to the development of these two factors to further improve its economic strength and competitiveness.
本文旨在讨论影响北京 GDP 的因素。本文数据来源于《北京统计年鉴》。通过查阅相关文献，本文选取了可能性最大的五个变量，采用多元线性回归的方法对 1999-2018 年北京市的这五个变量进行分析。考虑到变量之间会相互影响，本文还采用了逐步回归法来解决多重共线性问题。最终结果显示，北京市进出口贸易额和社会商品零售总额对北京市 GDP 有显著影响。而固定资产投资总额、常住人口和能源消费总量则没有通过显著性检验。综上所述，北京市 GDP 受北京市进出口贸易和社会商品零售总额的影响。北京市应重视这两个因素的发展，进一步提高经济实力和竞争力。
{"title":"Research on the Influencing Factors of Beijing’s GDP","authors":"Juncheng Feng","doi":"10.61173/h2vt7521","DOIUrl":"https://doi.org/10.61173/h2vt7521","url":null,"abstract":"This paper aims to discuss the factors affecting Beijing’s GDP. The data of this paper comes from the Beijing Statistical Yearbook. By reviewing relevant literature, this paper selects five variables with the highest probability and uses the method of multiple linear regression to analyze these five variables in Beijing in 1999-2018. Considering that the variables will affect each other, this paper also adopts the stepwise regression method to solve the problem of multicollinearity. The final results show that import and export trade and the total retail sales of social commodities in Beijing have a significant impact on Beijing’s GDP. In contrast, the total investment in fixed assets, resident population, and total energy consumption do not pass the significance test. In conclusion, Beijing’s GDP is affected by import and export trade and total retail sales of social commodities in Beijing. Beijing should pay attention to the development of these two factors to further improve its economic strength and competitiveness.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"26 5‐6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381129","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 rapid development of big data in the Internet era, accurately identifying consumers’ purchase intention and predicting their future purchase behavior among the massive user behaviors are crucial for business decisions. The purpose of this paper is to analyze the advantages and disadvantages of multiple supervised learning algorithms and integrated learning algorithms, as well as their applications and performances in predicting users’ purchasing behaviors. The paper concludes that some traditional algorithms have been consistently used due to their simplicity and interpretability, while the more cutting-edge algorithms have a greater advantage in characterizing specific aspects around an innovative core idea. Different algorithms have their own highlights and limitations in prediction, and researchers can choose them according to the dataset and prediction needs. At the same time, this paper emphasizes that combining models that complement each other’s strengths will maximize efficiency and accuracy when using fusion methods. This paper compiles and compares practical machine learning algorithms today, and analyzes the future direction of predictive modeling and areas worthy of further exploration, such as language and image processing, which can provide a reference for enterprises with the need of user behavior prediction in the development of marketing plans.
{"title":"Applications of Machine Learning Algorithms in Predicting User’s Purchasing Behavior","authors":"Ranzhi Sun","doi":"10.61173/6x4td382","DOIUrl":"https://doi.org/10.61173/6x4td382","url":null,"abstract":"With the rapid development of big data in the Internet era, accurately identifying consumers’ purchase intention and predicting their future purchase behavior among the massive user behaviors are crucial for business decisions. The purpose of this paper is to analyze the advantages and disadvantages of multiple supervised learning algorithms and integrated learning algorithms, as well as their applications and performances in predicting users’ purchasing behaviors. The paper concludes that some traditional algorithms have been consistently used due to their simplicity and interpretability, while the more cutting-edge algorithms have a greater advantage in characterizing specific aspects around an innovative core idea. Different algorithms have their own highlights and limitations in prediction, and researchers can choose them according to the dataset and prediction needs. At the same time, this paper emphasizes that combining models that complement each other’s strengths will maximize efficiency and accuracy when using fusion methods. This paper compiles and compares practical machine learning algorithms today, and analyzes the future direction of predictive modeling and areas worthy of further exploration, such as language and image processing, which can provide a reference for enterprises with the need of user behavior prediction in the development of marketing plans.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"11 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381840","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}
As the automotive industry faces the dual challenges of energy crisis and environmental degradation, developing new energy vehicles (NEVs) has become a focal point. This paper presents a comprehensive overview of braking and vibration energy recovery systems in NEVs. Specifically, it explores these systems’ theoretical foundations, control strategies, and current research status. The braking energy recovery system aims to enhance energy efficiency by capturing and reusing the energy generated during braking. In contrast, the vibration energy recovery system seeks to expand energy recovery channels by absorbing vehicle vibrations. While considerable research has been conducted on braking energy recovery, there is still a need for further exploration in vibration energy recovery. By optimizing these systems, we aim to contribute to the sustainable growth of the NEV industry, ultimately benefiting both the environment and energy conservation efforts.
{"title":"A review of brake energy recovery systems and vibration energy recovery systems in new energy vehicles","authors":"Hanwen Jian","doi":"10.61173/094x1d72","DOIUrl":"https://doi.org/10.61173/094x1d72","url":null,"abstract":"As the automotive industry faces the dual challenges of energy crisis and environmental degradation, developing new energy vehicles (NEVs) has become a focal point. This paper presents a comprehensive overview of braking and vibration energy recovery systems in NEVs. Specifically, it explores these systems’ theoretical foundations, control strategies, and current research status. The braking energy recovery system aims to enhance energy efficiency by capturing and reusing the energy generated during braking. In contrast, the vibration energy recovery system seeks to expand energy recovery channels by absorbing vehicle vibrations. While considerable research has been conducted on braking energy recovery, there is still a need for further exploration in vibration energy recovery. By optimizing these systems, we aim to contribute to the sustainable growth of the NEV industry, ultimately benefiting both the environment and energy conservation efforts.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"4 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378491","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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