Pub Date : 1900-01-01DOI: 10.23977/jaip.2022.050116
Duquan Zuo, Jie Liu, Huifang Li, Tao Wang, Yingjie Li
: For the sensorless position control technology of surface permanent magnet synchronous motor (SPMSM) under the operation modes of zero and low speed, this paper introduced several typical control algorithms detecting rotor position of PMSM, and analyzed the working principle and the rotor position estimation deviation control process of these types of algorithms, as well as their advantages and disadvantages in detail. Finally, the applicability of these algorithms in SPMSM at present were further compared and summarized, so as to achieve better control effect.
{"title":"Overview of Sensorless Zero-Low Speed Range Control Technology based on High-Frequency Signal Injection for SPMSM","authors":"Duquan Zuo, Jie Liu, Huifang Li, Tao Wang, Yingjie Li","doi":"10.23977/jaip.2022.050116","DOIUrl":"https://doi.org/10.23977/jaip.2022.050116","url":null,"abstract":": For the sensorless position control technology of surface permanent magnet synchronous motor (SPMSM) under the operation modes of zero and low speed, this paper introduced several typical control algorithms detecting rotor position of PMSM, and analyzed the working principle and the rotor position estimation deviation control process of these types of algorithms, as well as their advantages and disadvantages in detail. Finally, the applicability of these algorithms in SPMSM at present were further compared and summarized, so as to achieve better control effect.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116947801","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060306
Hua Zhang, Sui Mai, Yin Liu, Tianru Zhu, Zhiye Huang
: This paper mainly combs the literature of core publications in the field of Artificial Intelligence Service. It summarizes customer behaviour in the context of service intelligence and discusses the changes of the traditional theory of service marketing under the background of artificial intelligence. Firstly, the connotation of artificial intelligence service in the existing literature is sorted out, and the concept of artificial intelligence service are deeply discussed. Secondly, the theoretical system of artificial intelligence service field is summarized and sorted out. This paper provides directions for future research in order to promote better application of artificial intelligence services in practice.
{"title":"Review of Theories Applied in Artificial Intelligence Service","authors":"Hua Zhang, Sui Mai, Yin Liu, Tianru Zhu, Zhiye Huang","doi":"10.23977/jaip.2023.060306","DOIUrl":"https://doi.org/10.23977/jaip.2023.060306","url":null,"abstract":": This paper mainly combs the literature of core publications in the field of Artificial Intelligence Service. It summarizes customer behaviour in the context of service intelligence and discusses the changes of the traditional theory of service marketing under the background of artificial intelligence. Firstly, the connotation of artificial intelligence service in the existing literature is sorted out, and the concept of artificial intelligence service are deeply discussed. Secondly, the theoretical system of artificial intelligence service field is summarized and sorted out. This paper provides directions for future research in order to promote better application of artificial intelligence services in practice.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"8 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120978959","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060407
Jicai Wu, Yirui Hei, Yinyin Fan, Xinhai Zhou
: This study aims to enhance the visiting experience in museums by investigating visitor demands for a smart guiding service system. Through the utilization of semi-structured interviews and field observations, the research explores visitor needs comprehensively. The Kano model is employed to categorize the various requirements, and the hierarchical analysis approach (AHP) is used to determine attribute weights, ensuring a thorough evaluation. By creating a hierarchical structure model for the smart guiding service system in museums and obtaining a comprehensive weight ranking for each indicator, the study provides a solid foundation for the development of effective solutions. Based on the ranking, several proposals are generated, presenting actionable insights for the implementation of a smart guiding service system. The findings emphasize the value of the Kano-AHP model in analyzing visitor demands, offering valuable guidance for museums aiming to establish an efficient and user-centric smart guiding service system.
{"title":"An Analysis of the Requirements for Smart Guiding Services in Museums Using the Kano-AHP Method","authors":"Jicai Wu, Yirui Hei, Yinyin Fan, Xinhai Zhou","doi":"10.23977/jaip.2023.060407","DOIUrl":"https://doi.org/10.23977/jaip.2023.060407","url":null,"abstract":": This study aims to enhance the visiting experience in museums by investigating visitor demands for a smart guiding service system. Through the utilization of semi-structured interviews and field observations, the research explores visitor needs comprehensively. The Kano model is employed to categorize the various requirements, and the hierarchical analysis approach (AHP) is used to determine attribute weights, ensuring a thorough evaluation. By creating a hierarchical structure model for the smart guiding service system in museums and obtaining a comprehensive weight ranking for each indicator, the study provides a solid foundation for the development of effective solutions. Based on the ranking, several proposals are generated, presenting actionable insights for the implementation of a smart guiding service system. The findings emphasize the value of the Kano-AHP model in analyzing visitor demands, offering valuable guidance for museums aiming to establish an efficient and user-centric smart guiding service system.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127422248","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060106
{"title":"Design of Multi-Channel Temperature Acquisition System Based on STM32","authors":"","doi":"10.23977/jaip.2023.060106","DOIUrl":"https://doi.org/10.23977/jaip.2023.060106","url":null,"abstract":"","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133497478","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 the process of modern large-scale pig breeding, it is necessary to distinguish the identity of each pig and real-time detect its health status, weight change, dietary status, and other parameters. Traditional methods waste a lot of resources, while the high quality of pork cannot be effectively guaranteed. This project is based on convolutional neural networks to design and develop a pig face recognition system. This system uses an overhead camera suspended above the pig house to monitor the pig house for 24 hours and identify and track each pig. Due to the rapid growth cycle of the pig, the facial image information changes rapidly, which has a significant impact on the pig face recognition model. The acquisition camera module is designed to correct monitoring and tracking data. The acquisition camera is installed in the necessary place of the pig every day to collect real-time information and upload the collected information to the server. By comparing the data of individual pigs at different developmental stages with the server, the identification information of individual pigs is determined, and tracking data is corrected in a timely manner. At the same time, the monitoring and identification screen is displayed on the screen, and behavioral information parameters are recorded to facilitate the information management and breeding of the farm.
{"title":"A Method for Eliminating Pig Face Recognition Errors Caused by Too Short Pig Growth Cycle","authors":"Shengkun Yu, Dongxin Wang, Hongbing Huo, Yining Liu, Kaidi Fu, Xinru Mu, Binkai Zou","doi":"10.23977/jaip.2023.060307","DOIUrl":"https://doi.org/10.23977/jaip.2023.060307","url":null,"abstract":": In the process of modern large-scale pig breeding, it is necessary to distinguish the identity of each pig and real-time detect its health status, weight change, dietary status, and other parameters. Traditional methods waste a lot of resources, while the high quality of pork cannot be effectively guaranteed. This project is based on convolutional neural networks to design and develop a pig face recognition system. This system uses an overhead camera suspended above the pig house to monitor the pig house for 24 hours and identify and track each pig. Due to the rapid growth cycle of the pig, the facial image information changes rapidly, which has a significant impact on the pig face recognition model. The acquisition camera module is designed to correct monitoring and tracking data. The acquisition camera is installed in the necessary place of the pig every day to collect real-time information and upload the collected information to the server. By comparing the data of individual pigs at different developmental stages with the server, the identification information of individual pigs is determined, and tracking data is corrected in a timely manner. At the same time, the monitoring and identification screen is displayed on the screen, and behavioral information parameters are recorded to facilitate the information management and breeding of the farm.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134184428","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2022.050301
Siwen Wang, Xiongwei He
: With the increasing popularity and wide application of Internet technology, the computer field is in the stage of vigorous development, the world is moving towards the economic development period dominated by information industry. In recent years, with the birth of the emerging field of artificial intelligence, which solves problems that traditional computer technology can not solve, more and more people have a strong interest in it and devote themselves to this research, making artificial intelligence has evolved into a mainstream discipline in the field of computer. As one of the core technologies of artificial intelligence, computer vision has made remarkable progress in theoretical research and technical application, and has been widely used in home furnishing, medical treatment, network and security. This paper mainly introduces the concept and relationship between artificial intelligence and computer vision, discusses the main technology and application scenarios of computer vision, and proposes a vision for the future development.
{"title":"The Development and Application of Computer Vision Technology in The Era of Artificial Intelligence","authors":"Siwen Wang, Xiongwei He","doi":"10.23977/jaip.2022.050301","DOIUrl":"https://doi.org/10.23977/jaip.2022.050301","url":null,"abstract":": With the increasing popularity and wide application of Internet technology, the computer field is in the stage of vigorous development, the world is moving towards the economic development period dominated by information industry. In recent years, with the birth of the emerging field of artificial intelligence, which solves problems that traditional computer technology can not solve, more and more people have a strong interest in it and devote themselves to this research, making artificial intelligence has evolved into a mainstream discipline in the field of computer. As one of the core technologies of artificial intelligence, computer vision has made remarkable progress in theoretical research and technical application, and has been widely used in home furnishing, medical treatment, network and security. This paper mainly introduces the concept and relationship between artificial intelligence and computer vision, discusses the main technology and application scenarios of computer vision, and proposes a vision for the future development.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504544","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060110
Zhan Shi
: Nowadays, artificial intelligence (AI) has a big impact in the field of painting. In contrast to the hand-painting and challenging personal creativity, AI applications practices to add noise, remove noise, restore image and conserve the present process after converting to data. The various AI image generator models, Diffusion model is the latest application consist of two main models, word-image mapping and diffusion algorithm. This article is introduced the mechanism of how images are generated and makes arguments about ethical issues of AI application of image generation. As a result, sophisticated legal restrictions should be implemented to prevent possible negative effects of AI models.
{"title":"AI Application to Generate an Expected Picture Using Keywords with Stable Diffusion","authors":"Zhan Shi","doi":"10.23977/jaip.2023.060110","DOIUrl":"https://doi.org/10.23977/jaip.2023.060110","url":null,"abstract":": Nowadays, artificial intelligence (AI) has a big impact in the field of painting. In contrast to the hand-painting and challenging personal creativity, AI applications practices to add noise, remove noise, restore image and conserve the present process after converting to data. The various AI image generator models, Diffusion model is the latest application consist of two main models, word-image mapping and diffusion algorithm. This article is introduced the mechanism of how images are generated and makes arguments about ethical issues of AI application of image generation. As a result, sophisticated legal restrictions should be implemented to prevent possible negative effects of AI models.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128322385","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060304
Cunhong Li, Yunpeng Liu, Yan Xu
: As the COVID-19 has spread over the globe and become a pandemic authority, it has relied heavily on social isolation as a primary strategy for containment. When individuals are confined to their homes, digital technology plays a critical role in supporting their social, professional, and economic activities. There is a pressing need for contemporary healthcare facilities, particularly in developing nations where rural locations have lack high-quality hospitals and medical professionals. For the upcoming years, public health, human civilization, and the global economy will continue to be impacted by this unique coronavirus. Due to the Internet of Things (IoT) health care and automation services, people's health and satisfaction can be preserved when they remain socially isolated. In this paper, the COVID-19 prevention and control using the Internet of Things (CPC-IoT) platform has been suggested to enable social distance in the pandemic. The most crucial metrics for critical care are body temperature, pulse rate, and oxygen saturation, and this research proposes an IoT-based system that uses these variables in real-time. Using the suggested IoT architecture, we offer a short-and long-term approach for managing pandemic situations. Each architectural layer's concerns have been addressed by providing guidelines for design implementation. Covid-19 can be prevented and controlled utilizing an IoT platform that includes symptom diagnosis and quarantine monitoring steps. Compared to other commercially available devices, the system's results are confirmed to be accurate. IoT-based technologies can be useful in the event of a COVID-19 viral epidemic.
{"title":"Design of an intelligent prevention and control platform for major public health emergencies based on a new generation of information technology","authors":"Cunhong Li, Yunpeng Liu, Yan Xu","doi":"10.23977/jaip.2023.060304","DOIUrl":"https://doi.org/10.23977/jaip.2023.060304","url":null,"abstract":": As the COVID-19 has spread over the globe and become a pandemic authority, it has relied heavily on social isolation as a primary strategy for containment. When individuals are confined to their homes, digital technology plays a critical role in supporting their social, professional, and economic activities. There is a pressing need for contemporary healthcare facilities, particularly in developing nations where rural locations have lack high-quality hospitals and medical professionals. For the upcoming years, public health, human civilization, and the global economy will continue to be impacted by this unique coronavirus. Due to the Internet of Things (IoT) health care and automation services, people's health and satisfaction can be preserved when they remain socially isolated. In this paper, the COVID-19 prevention and control using the Internet of Things (CPC-IoT) platform has been suggested to enable social distance in the pandemic. The most crucial metrics for critical care are body temperature, pulse rate, and oxygen saturation, and this research proposes an IoT-based system that uses these variables in real-time. Using the suggested IoT architecture, we offer a short-and long-term approach for managing pandemic situations. Each architectural layer's concerns have been addressed by providing guidelines for design implementation. Covid-19 can be prevented and controlled utilizing an IoT platform that includes symptom diagnosis and quarantine monitoring steps. Compared to other commercially available devices, the system's results are confirmed to be accurate. IoT-based technologies can be useful in the event of a COVID-19 viral epidemic.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130693095","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060107
{"title":"Research on Artificial Intelligence Applications Based on Data Mining Algorithms in the Era of Big Data","authors":"","doi":"10.23977/jaip.2023.060107","DOIUrl":"https://doi.org/10.23977/jaip.2023.060107","url":null,"abstract":"","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129834281","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}
Pub Date : 1900-01-01DOI: 10.23977/jaip.2023.060410
Xincheng Jia
: Computer artificial intelligence recognition technology is a kind of operation means based on traditional computer technology, which has become a new type of science and technology today. At present, the scope of computer artificial intelligence recognition technology is very wide, and it is also very vulnerable to other different factors in the development. However, the research on key technologies of computer artificial intelligence recognition is relatively few in China, so relevant personnel must comprehensively study the application process of computer artificial intelligence recognition technology based on their own work experience, so as to provide strong reference for other personnel.
{"title":"Discussion on Key Technologies of Computer Artificial Intelligence Recognition","authors":"Xincheng Jia","doi":"10.23977/jaip.2023.060410","DOIUrl":"https://doi.org/10.23977/jaip.2023.060410","url":null,"abstract":": Computer artificial intelligence recognition technology is a kind of operation means based on traditional computer technology, which has become a new type of science and technology today. At present, the scope of computer artificial intelligence recognition technology is very wide, and it is also very vulnerable to other different factors in the development. However, the research on key technologies of computer artificial intelligence recognition is relatively few in China, so relevant personnel must comprehensively study the application process of computer artificial intelligence recognition technology based on their own work experience, so as to provide strong reference for other personnel.","PeriodicalId":293823,"journal":{"name":"Journal of Artificial Intelligence Practice","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114911974","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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