This article reviews the direct power control methods of three-phase voltage-type PWM rectifiers, including those based on virtual flux linkage (VF-DPC), model prediction (MP-DPC), and dual switch table. First, the basic topology of the three-phase voltage-type PWM rectifier is introduced, and its key role in the energy conversion process is explained. Subsequently, the implementation mechanisms, advantages and disadvantages of various direct power control strategies and their performance in practical applications are comparatively analyzed. Finally, the article looks forward to future development trends in three-phase voltage-type PWM rectifier direct power control technology, and points out directions for further research, including algorithm optimization, hardware implementation, and broader application promotion.
{"title":"A review of Direct Power Control Technologies for Three-Phase Voltage PWM Rectifiers","authors":"Zihan Liu","doi":"10.61173/h3f6e192","DOIUrl":"https://doi.org/10.61173/h3f6e192","url":null,"abstract":"This article reviews the direct power control methods of three-phase voltage-type PWM rectifiers, including those based on virtual flux linkage (VF-DPC), model prediction (MP-DPC), and dual switch table. First, the basic topology of the three-phase voltage-type PWM rectifier is introduced, and its key role in the energy conversion process is explained. Subsequently, the implementation mechanisms, advantages and disadvantages of various direct power control strategies and their performance in practical applications are comparatively analyzed. Finally, the article looks forward to future development trends in three-phase voltage-type PWM rectifier direct power control technology, and points out directions for further research, including algorithm optimization, hardware implementation, and broader application promotion.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"98 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141378067","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 purpose of this paper is to explore how to combine the recruitment needs of enterprises with the employment of college students through data visualization technology, and to provide new insights for addressing the employment matching challenge. First of all, it will introduce the current situation and challenges of enterprise recruitment and college student employment, and analyze the problems and reasons for this. Secondly, a method based on data visualization will be proposed. By collecting and analyzing relevant data from the Boss direct employment platform, including educational requirements, salary, work experience, occupation type, and other information. Visualization tools will be used to present data, and these tools will also demonstrate the recruitment needs of enterprises. Then, it will explore how to make targeted recommendations and provide career guidance based on the results of data analysis to promote a better match between enterprises and college students. Finally, the research results will be summarized, and the future research direction and development trend will be prospected.
本文旨在探讨如何通过数据可视化技术将企业招聘需求与大学生就业相结合，为解决就业匹配难题提供新的启示。首先，介绍企业招聘与大学生就业的现状与挑战，分析其中存在的问题与原因。其次，提出一种基于数据可视化的方法。通过收集和分析 Boss 直聘平台的相关数据，包括学历要求、薪资待遇、工作经验、职业类型等信息。将使用可视化工具来呈现数据，这些工具也将展示企业的招聘需求。然后，将探讨如何根据数据分析结果进行有针对性的推荐和职业指导，促进企业与大学生更好地匹配。最后，总结研究成果，展望未来研究方向和发展趋势。
{"title":"Analysis of the Combination of Enterprise Recruitment and College Student Employment Based on Data Visualization","authors":"Wayuan Xiao","doi":"10.61173/abcarm19","DOIUrl":"https://doi.org/10.61173/abcarm19","url":null,"abstract":"The purpose of this paper is to explore how to combine the recruitment needs of enterprises with the employment of college students through data visualization technology, and to provide new insights for addressing the employment matching challenge. First of all, it will introduce the current situation and challenges of enterprise recruitment and college student employment, and analyze the problems and reasons for this. Secondly, a method based on data visualization will be proposed. By collecting and analyzing relevant data from the Boss direct employment platform, including educational requirements, salary, work experience, occupation type, and other information. Visualization tools will be used to present data, and these tools will also demonstrate the recruitment needs of enterprises. Then, it will explore how to make targeted recommendations and provide career guidance based on the results of data analysis to promote a better match between enterprises and college students. Finally, the research results will be summarized, and the future research direction and development trend will be prospected.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"16 2‐3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376954","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}
Tourism significantly contributes to economic growth, particularly evident from China’s rapid post-recovery increase in travel demand. This surge underscores the necessity for accessible, well-organized tourist information. Given the vast number and broad distribution of tourist sites, intelligent filtering and visualization of these locations are crucial. This paper introduces Tour Enhance, an interactive system designed to dynamically exchange information between the system and its users. Unlike traditional static methods, Tour Enhance utilizes real-time processing to tailor travel recommendations to individual user preferences, thereby improving user engagement and satisfaction. This study undertakes three key tasks: statistical analysis and visualization of tourist data, rule-based recommendation generation, and user survey-based evaluation of these recommendations. The effectiveness of Tour Enhance was assessed through a user study with 57 participants, who highly rated the system on interface usability, functionality, and accuracy of recommendations. The results demonstrate that Tour Enhance effectively enhances the travel planning process, highlighting the significant advantages of integrating interactive systems and personalized data visualization in tourism. This research contributes to the advancement of human-computer interaction applications in tourism and lays the groundwork for future studies focused on enhancing user experiences through technological innovations.
旅游业对经济增长贡献巨大，中国经济复苏后旅游需求的快速增长尤其明显。这种激增凸显了旅游信息的可访问性和良好组织的必要性。鉴于旅游景点数量庞大、分布广泛，对这些地点进行智能过滤和可视化至关重要。本文介绍的 Tour Enhance 是一个互动系统，旨在实现系统与用户之间的动态信息交换。与传统的静态方法不同，Tour Enhance 利用实时处理，根据用户的个人喜好量身定制旅游推荐，从而提高用户的参与度和满意度。本研究承担了三项关键任务：游客数据的统计分析和可视化、基于规则的推荐生成，以及对这些推荐进行基于用户调查的评估。通过对 57 名参与者进行用户研究，评估了 Tour Enhance 的有效性，他们对系统的界面可用性、功能性和推荐的准确性给予了高度评价。研究结果表明，Tour Enhance 有效地改进了旅游规划流程，凸显了在旅游业中整合交互系统和个性化数据可视化的显著优势。这项研究有助于推动人机交互在旅游业中的应用，并为今后通过技术创新提升用户体验的研究奠定了基础。
{"title":"Tour Enhance: A Novel Rule-Based Travel Planning System","authors":"Zihan Guan","doi":"10.61173/jhk1a968","DOIUrl":"https://doi.org/10.61173/jhk1a968","url":null,"abstract":"Tourism significantly contributes to economic growth, particularly evident from China’s rapid post-recovery increase in travel demand. This surge underscores the necessity for accessible, well-organized tourist information. Given the vast number and broad distribution of tourist sites, intelligent filtering and visualization of these locations are crucial. This paper introduces Tour Enhance, an interactive system designed to dynamically exchange information between the system and its users. Unlike traditional static methods, Tour Enhance utilizes real-time processing to tailor travel recommendations to individual user preferences, thereby improving user engagement and satisfaction. This study undertakes three key tasks: statistical analysis and visualization of tourist data, rule-based recommendation generation, and user survey-based evaluation of these recommendations. The effectiveness of Tour Enhance was assessed through a user study with 57 participants, who highly rated the system on interface usability, functionality, and accuracy of recommendations. The results demonstrate that Tour Enhance effectively enhances the travel planning process, highlighting the significant advantages of integrating interactive systems and personalized data visualization in tourism. This research contributes to the advancement of human-computer interaction applications in tourism and lays the groundwork for future studies focused on enhancing user experiences through technological innovations.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"111 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377056","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}
Rapid Eye Movement (REM) sleep typically initiates approximately 90 minutes following the onset of sleep. REM sleep is crucial for memory consolidation and learning. It also supports physical recovery and promotes cell regeneration, neurotransmitter transmission, and immune function. The regulating function of REM sleep remains ambiguous despite numerous advancements in its investigation. The absence of neurotransmitter receptors reduces REM sleep, and altered environmental conditions have a corresponding effect on REM sleep. This study summarized how REM sleep interacts with hormones, neurotransmitters, and gene expression. The study found novel properties of REM sleep, explored the connection between cognitive and emotional functions with REM sleep. REM sleep is a stage of increased brain activity, and the study of REM sleep helps us to better understand brain function and neural activity. Examining REM sleep allows for a thorough exploration of the brain’s operational processes, offering valuable insights for neuroscience research. Further study on REM sleep in the future could focus on impact of sleep on body and brain processes, leading to a better comprehension of treating sleep disorders and advancing cognitive neuroscience.
{"title":"The Regulatory Role of Sleep Hormones, Neurotransmitters, and Gene Expression in Rapid Eye Movement Sleep","authors":"Enhao Liu","doi":"10.61173/ym5dm139","DOIUrl":"https://doi.org/10.61173/ym5dm139","url":null,"abstract":"Rapid Eye Movement (REM) sleep typically initiates approximately 90 minutes following the onset of sleep. REM sleep is crucial for memory consolidation and learning. It also supports physical recovery and promotes cell regeneration, neurotransmitter transmission, and immune function. The regulating function of REM sleep remains ambiguous despite numerous advancements in its investigation. The absence of neurotransmitter receptors reduces REM sleep, and altered environmental conditions have a corresponding effect on REM sleep. This study summarized how REM sleep interacts with hormones, neurotransmitters, and gene expression. The study found novel properties of REM sleep, explored the connection between cognitive and emotional functions with REM sleep. REM sleep is a stage of increased brain activity, and the study of REM sleep helps us to better understand brain function and neural activity. Examining REM sleep allows for a thorough exploration of the brain’s operational processes, offering valuable insights for neuroscience research. Further study on REM sleep in the future could focus on impact of sleep on body and brain processes, leading to a better comprehension of treating sleep disorders and advancing cognitive neuroscience.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"112 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377798","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 increasing development of computer science, cloud computing has had a revolutionary impact on various industries. The application of cloud computing technology in the electronic medical record management system of hospitals is not only of great significance to improve the efficiency of medical information management, but also can effectively deal with the security challenges of medical record data. The article firstly provides an overview of cloud computing, then introduces the importance of hospital electronic medical record management system, and at the same time analyses the limitations and challenges of traditional electronic medical records, and secondly summarizes the key issues in the application of cloud computing in hospital electronic medical record management system.
{"title":"A Review of Research on Hospital Electronic Medical Record Management System Based on Cloud Computing","authors":"Jingbai Zhang","doi":"10.61173/97abz755","DOIUrl":"https://doi.org/10.61173/97abz755","url":null,"abstract":"With the increasing development of computer science, cloud computing has had a revolutionary impact on various industries. The application of cloud computing technology in the electronic medical record management system of hospitals is not only of great significance to improve the efficiency of medical information management, but also can effectively deal with the security challenges of medical record data. The article firstly provides an overview of cloud computing, then introduces the importance of hospital electronic medical record management system, and at the same time analyses the limitations and challenges of traditional electronic medical records, and secondly summarizes the key issues in the application of cloud computing in hospital electronic medical record management system.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"193 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141375990","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 study summarizes the current research status and development trend of TiO2 photocatalytic reduction of carbon dioxide, including the reaction mechanism, metal-loaded TiO2, semiconductor composite TiO2, and organic photosensitizer-modified TiO2, and shows that the metal-loaded TiO2 enhances the catalytic activity, and in particular, copper-loaded catalysts on the surface of TiO2 have the potential. Semiconductor composite TiO2 enhanced the photogenerated carrier transport efficiency and improved the catalytic activity. Modification of TiO2 with organic photosensitizers can improve the photocatalytic efficiency, but challenges such as stability and light absorption efficiency need to be addressed.
{"title":"Current status of TiO2 photocatalytic reduction of carbon dioxide","authors":"Zhikai Cheng","doi":"10.61173/gzb95w51","DOIUrl":"https://doi.org/10.61173/gzb95w51","url":null,"abstract":"this study summarizes the current research status and development trend of TiO2 photocatalytic reduction of carbon dioxide, including the reaction mechanism, metal-loaded TiO2, semiconductor composite TiO2, and organic photosensitizer-modified TiO2, and shows that the metal-loaded TiO2 enhances the catalytic activity, and in particular, copper-loaded catalysts on the surface of TiO2 have the potential. Semiconductor composite TiO2 enhanced the photogenerated carrier transport efficiency and improved the catalytic activity. Modification of TiO2 with organic photosensitizers can improve the photocatalytic efficiency, but challenges such as stability and light absorption efficiency need to be addressed.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"2 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141380223","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}
YOLO (You Only Look Once) as an efficient target detection algorithm has significant advantages in the field of image recognition and traffic sign detection. The continuous development of autonomous driving technology needs to be supported by an algorithm that can quickly and accurately identify traffic signs, vehicles, pedestrians and other important objects on the road. By using the YOLO algorithm, we can achieve fast and accurate recognition of traffic signs, which is of great significance for improving the safety of autonomous driving technology. This study firstly introduces the general framework of YOLO series algorithms, including the network structure, introduces the development history of YOLO series and analyses the characteristics of each generation of algorithms, then discusses the application of YOLO algorithms in the field of traffic sign recognition, and finally summarizes the existing problems and puts forward a few points of possible optimization directions in the future.
{"title":"A review of YOLO-based traffic sign target detection","authors":"Siteng Liu","doi":"10.61173/gv1hwn77","DOIUrl":"https://doi.org/10.61173/gv1hwn77","url":null,"abstract":"YOLO (You Only Look Once) as an efficient target detection algorithm has significant advantages in the field of image recognition and traffic sign detection. The continuous development of autonomous driving technology needs to be supported by an algorithm that can quickly and accurately identify traffic signs, vehicles, pedestrians and other important objects on the road. By using the YOLO algorithm, we can achieve fast and accurate recognition of traffic signs, which is of great significance for improving the safety of autonomous driving technology. This study firstly introduces the general framework of YOLO series algorithms, including the network structure, introduces the development history of YOLO series and analyses the characteristics of each generation of algorithms, then discusses the application of YOLO algorithms in the field of traffic sign recognition, and finally summarizes the existing problems and puts forward a few points of possible optimization directions in the future.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"41 2‐3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141376272","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 field of artificial intelligence has developed rapidly recently, and large language model technology, as a representative technology of it, can provide general knowledge and make many downstream tasks easier and more convenient. However, although many people use large language models to do some work, they still lack a systematically summarized literature. Therefore, in this article, we made a systematic summary. We first wrote about the early large language models, then we presented the development of GPT and how to use the GPT model, then we introduced the advanced GPT models, and finally we mentioned the risks and challenges faced by the GPT model. Our work can help users better use large language models.
{"title":"The foundation, current situation and future prospects of pre-training large language models","authors":"Haoran Han, Siyao Wu, Jinyao Yang, Yizhuo Zhao","doi":"10.61173/yha53v12","DOIUrl":"https://doi.org/10.61173/yha53v12","url":null,"abstract":"The field of artificial intelligence has developed rapidly recently, and large language model technology, as a representative technology of it, can provide general knowledge and make many downstream tasks easier and more convenient. However, although many people use large language models to do some work, they still lack a systematically summarized literature. Therefore, in this article, we made a systematic summary. We first wrote about the early large language models, then we presented the development of GPT and how to use the GPT model, then we introduced the advanced GPT models, and finally we mentioned the risks and challenges faced by the GPT model. Our work can help users better use large language models.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"103 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141377990","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 development process of modern society is accelerated, and at the same time, people’s need for medical care deepens. The main purpose of this study is to summarize the general situation of the current application of machine learning in medical prediction. This paper mainly analyzes the current situation of the application of machine learning models as well as the existence of problems by dissecting the current situation of the application of machine learning models and carries out a comprehensive analysis of its features. It focuses on analyzing the issues in the application of machine learning in disease prediction in imaging diagnosis, cancer risk assessment, cancer recurrence prediction, and mental illness prediction and make an arrangement summary about the current status of machine learning models in various healthcare prediction domains and owning characteristics The ultimate goal of this paper is to conclude the extent to which machine learning models can play a role in the context of the current continuous development of medical technology.
{"title":"Exploring the Use of Machine Learning in Healthcare Prediction","authors":"Zhiyuan Ren","doi":"10.61173/jcxf9j51","DOIUrl":"https://doi.org/10.61173/jcxf9j51","url":null,"abstract":"The development process of modern society is accelerated, and at the same time, people’s need for medical care deepens. The main purpose of this study is to summarize the general situation of the current application of machine learning in medical prediction. This paper mainly analyzes the current situation of the application of machine learning models as well as the existence of problems by dissecting the current situation of the application of machine learning models and carries out a comprehensive analysis of its features. It focuses on analyzing the issues in the application of machine learning in disease prediction in imaging diagnosis, cancer risk assessment, cancer recurrence prediction, and mental illness prediction and make an arrangement summary about the current status of machine learning models in various healthcare prediction domains and owning characteristics The ultimate goal of this paper is to conclude the extent to which machine learning models can play a role in the context of the current continuous development of medical technology.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"26 1‐2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381131","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}
Air Traffic Control (ATC) systems are complex systems responsible for maintaining safe air traffic within a designated airspace. They are essential for the safe flow of commercial flights in and out of places which can significantly reduce aerial accidents. In recent years, ATC systems have seen concerning problems in large-scale data management and inefficiencies in decision making which can lead to human error. To resolve these issues, the use of Interactive Data Visualization (IDV), a powerful method of presenting complex datasets in an engaging and comprehensible manner instead of using boring charts, can be employed. There have been prior attempts to use IDV methods in various ATC systems. Although these attempts of specializing IDV in aviation have made major contributions, most of these other proposals lack conclusions and essential aspects such as specific environmental factors of the specified airspace, the operating systems of specific airports, in addition with specialized utilization of IDV in different kinds of airspaces. In this paper, a systematic review of previous works will be conducted, the proposal of new ways for utilizing IDV in ATC systems will be discussed, and previous factors that were not considered before will be analyzed. The paper will start off by discussing the ATC systems we have today, their problems, the potential usage of IDV in ATC systems, how it would work, general proposals of potential utilization methods, the advantages and disadvantages of IDV in ATC systems, and future outlooks. The paper will provide a general overview and directions for the future of ATC systems utilizing IDV.
{"title":"Uses of Interactive Data Visualization in Air Traffic Control Systems","authors":"Kaiheng Huang","doi":"10.61173/swhhav68","DOIUrl":"https://doi.org/10.61173/swhhav68","url":null,"abstract":"Air Traffic Control (ATC) systems are complex systems responsible for maintaining safe air traffic within a designated airspace. They are essential for the safe flow of commercial flights in and out of places which can significantly reduce aerial accidents. In recent years, ATC systems have seen concerning problems in large-scale data management and inefficiencies in decision making which can lead to human error. To resolve these issues, the use of Interactive Data Visualization (IDV), a powerful method of presenting complex datasets in an engaging and comprehensible manner instead of using boring charts, can be employed. There have been prior attempts to use IDV methods in various ATC systems. Although these attempts of specializing IDV in aviation have made major contributions, most of these other proposals lack conclusions and essential aspects such as specific environmental factors of the specified airspace, the operating systems of specific airports, in addition with specialized utilization of IDV in different kinds of airspaces. In this paper, a systematic review of previous works will be conducted, the proposal of new ways for utilizing IDV in ATC systems will be discussed, and previous factors that were not considered before will be analyzed. The paper will start off by discussing the ATC systems we have today, their problems, the potential usage of IDV in ATC systems, how it would work, general proposals of potential utilization methods, the advantages and disadvantages of IDV in ATC systems, and future outlooks. The paper will provide a general overview and directions for the future of ATC systems utilizing IDV.","PeriodicalId":438278,"journal":{"name":"Science and Technology of Engineering, Chemistry and Environmental Protection","volume":"106 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141381294","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：