Pub Date : 2023-07-20DOI: 10.54097/fcis.v4i3.10851
Xingxing Chen
In order to give full play to the advantages of Qt and Simulink, this paper puts forward a mixed programming method of Qt and Simulink, through the mixed programming technology of VC++ and Simulink, the code generated by Simulink model simulation is called by Qt, and it can be displayed vividly by ui interface. The mixed call of the two can greatly reduce the difficulty of manually writing the algorithm, thus improving the efficiency of the project to a great extent.
{"title":"QT and Simulink Mixed Call Implementation","authors":"Xingxing Chen","doi":"10.54097/fcis.v4i3.10851","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.10851","url":null,"abstract":"In order to give full play to the advantages of Qt and Simulink, this paper puts forward a mixed programming method of Qt and Simulink, through the mixed programming technology of VC++ and Simulink, the code generated by Simulink model simulation is called by Qt, and it can be displayed vividly by ui interface. The mixed call of the two can greatly reduce the difficulty of manually writing the algorithm, thus improving the efficiency of the project to a great extent.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117055458","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11236
Chaoliang Zheng
Conventional financial accounting information management platform mainly uses AJAX, DWR technology to deal with the server side as a carrier, vulnerable to the server deployment location, resulting in some of the functional modules run abnormally, therefore, the need to design a new Web-based financial accounting information management platform. The test results show that each functional module of the designed Web-based financial accounting information intelligent management platform can run in an orderly manner and has reliability, which is a new exploration for optimising the intelligent management of financial accounting information and promoting the transformation of enterprise digital intelligence.
{"title":"Web-based Financial Accounting Information Intelligent Management Platform Construction","authors":"Chaoliang Zheng","doi":"10.54097/fcis.v4i3.11236","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11236","url":null,"abstract":"Conventional financial accounting information management platform mainly uses AJAX, DWR technology to deal with the server side as a carrier, vulnerable to the server deployment location, resulting in some of the functional modules run abnormally, therefore, the need to design a new Web-based financial accounting information management platform. The test results show that each functional module of the designed Web-based financial accounting information intelligent management platform can run in an orderly manner and has reliability, which is a new exploration for optimising the intelligent management of financial accounting information and promoting the transformation of enterprise digital intelligence.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134044070","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11156
Quankai Liu, Haifeng Sang
This paper presents a vehicle-mounted real-time pedestrian trajectory prediction system based on the embedded device Jetson Xavier. It achieves low-cost real-time pedestrian trajectory prediction using only the front camera of the vehicle. Firstly, pedestrian detection and tracking are implemented based on YoLoV7, while also estimating pedestrian poses and optical flow to provide multiple information sequences for the trajectory prediction network. Secondly, the pedestrian trajectory algorithm from a driver's perspective is studied, and a trajectory prediction algorithm that considers pedestrian pose, optical flow, and trajectory information is proposed. A novel multi-information fusion network is designed to better integrate multiple features. The algorithm is tested on the JAAD and PIE datasets, and the displacement errors are reduced by 6.35% and 3.28%, respectively, compared to BiTraP. Finally, the algorithm is ported to the embedded device Xavier and installed on a simulated vehicle for testing. By predicting pedestrian future trajectories based on pedestrian detection, collisions can be avoided in advance, improving the safety of autonomous driving. The proposed system has significant practical value.
{"title":"Design of Real-time Pedestrian Trajectory Prediction System based on Jetson Xavier","authors":"Quankai Liu, Haifeng Sang","doi":"10.54097/fcis.v4i3.11156","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11156","url":null,"abstract":"This paper presents a vehicle-mounted real-time pedestrian trajectory prediction system based on the embedded device Jetson Xavier. It achieves low-cost real-time pedestrian trajectory prediction using only the front camera of the vehicle. Firstly, pedestrian detection and tracking are implemented based on YoLoV7, while also estimating pedestrian poses and optical flow to provide multiple information sequences for the trajectory prediction network. Secondly, the pedestrian trajectory algorithm from a driver's perspective is studied, and a trajectory prediction algorithm that considers pedestrian pose, optical flow, and trajectory information is proposed. A novel multi-information fusion network is designed to better integrate multiple features. The algorithm is tested on the JAAD and PIE datasets, and the displacement errors are reduced by 6.35% and 3.28%, respectively, compared to BiTraP. Finally, the algorithm is ported to the embedded device Xavier and installed on a simulated vehicle for testing. By predicting pedestrian future trajectories based on pedestrian detection, collisions can be avoided in advance, improving the safety of autonomous driving. The proposed system has significant practical value.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121160411","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11018
Zexin Zhao
This paper presents a detection model of fish with abnormal behavior and their number based on YOLO v8 and Deep Sort algorithm. The method firstly uses computer and acquisition system to monitor and analyze the fish behavior in real time, and can effectively detect the abnormal behavior of fish, such as abnormal swimming trajectory and abnormal residence time. The main work of this paper is to preprocess fish behavior videos, including video segmentation, data enhancement and other operations, and use data enhancement technology to improve the problem of fish occlusion in data set, which is easy to cause model false detection. Then, YOLO v8 and Deep Sort algorithm were used for multi-target tracking and target detection to extract the key information of fish behavior. Finally, through the analysis and comparison of the extracted information, the detection of fish with abnormal behavior and its quantity are realized. The experimental results show that the method proposed in this paper can effectively detect the abnormal behavior of fish, has high accuracy and real-time, and has certain application and popularization value.
{"title":"Abnormal Behavior Fish and Population Detection Method based on Deep Learning","authors":"Zexin Zhao","doi":"10.54097/fcis.v4i3.11018","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11018","url":null,"abstract":"This paper presents a detection model of fish with abnormal behavior and their number based on YOLO v8 and Deep Sort algorithm. The method firstly uses computer and acquisition system to monitor and analyze the fish behavior in real time, and can effectively detect the abnormal behavior of fish, such as abnormal swimming trajectory and abnormal residence time. The main work of this paper is to preprocess fish behavior videos, including video segmentation, data enhancement and other operations, and use data enhancement technology to improve the problem of fish occlusion in data set, which is easy to cause model false detection. Then, YOLO v8 and Deep Sort algorithm were used for multi-target tracking and target detection to extract the key information of fish behavior. Finally, through the analysis and comparison of the extracted information, the detection of fish with abnormal behavior and its quantity are realized. The experimental results show that the method proposed in this paper can effectively detect the abnormal behavior of fish, has high accuracy and real-time, and has certain application and popularization value.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"335 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132509835","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11254
Yan Wang, Xue Chen
The conventional gravity compensation algorithm requires precise dynamic parameters and a complex matrix transformation operation, which is difficult in applications to real-time control. In this paper, a simple and practical gravity compensation algorithm is proposed based on the space geometry characteristics of a mechanical arm and the principle of torque balance. This algorithm does not require a complex calculation of space coordinate transformation and does not require obtaining all accurate dynamic models and parameters. It only requires estimating the maximum gravity moment of the mechanical arm and simply calculating the trigonometric function. Thus, this algorithm can be extended to a non-parallel shaft mechanical arm, which is suitable for N joints in space. To verify the control effect after gravity compensation, the most easily comprehensible proportional-derivative controller combined with gravity compensation is used to control two-joint and three-joint mechanical arms for simulation. With the gravity compensation and non-compensation of the mechanical arm and with a comparison with other compensation methods, such as the fixed gravity compensation algorithm, the results show that the gravity compensation algorithm can achieve better trajectory tracking control, higher steady-state precision, an effectively reduced work burden of the controller and improved system stability.
{"title":"A Gravity Compensation Algorithm of Robot Manipulator Control based on the Trigonometric Function","authors":"Yan Wang, Xue Chen","doi":"10.54097/fcis.v4i3.11254","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11254","url":null,"abstract":"The conventional gravity compensation algorithm requires precise dynamic parameters and a complex matrix transformation operation, which is difficult in applications to real-time control. In this paper, a simple and practical gravity compensation algorithm is proposed based on the space geometry characteristics of a mechanical arm and the principle of torque balance. This algorithm does not require a complex calculation of space coordinate transformation and does not require obtaining all accurate dynamic models and parameters. It only requires estimating the maximum gravity moment of the mechanical arm and simply calculating the trigonometric function. Thus, this algorithm can be extended to a non-parallel shaft mechanical arm, which is suitable for N joints in space. To verify the control effect after gravity compensation, the most easily comprehensible proportional-derivative controller combined with gravity compensation is used to control two-joint and three-joint mechanical arms for simulation. With the gravity compensation and non-compensation of the mechanical arm and with a comparison with other compensation methods, such as the fixed gravity compensation algorithm, the results show that the gravity compensation algorithm can achieve better trajectory tracking control, higher steady-state precision, an effectively reduced work burden of the controller and improved system stability.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482172","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11136
Shuming Zhong, Hongyu Jiang, Haihong Zhao
With the rise of mobile platforms, more and more applications are being developed. with the rise of mobile platforms, more and more traditional PC software has been transplanted to mobile platforms, such as iPad, iPhone, Android and other intelligent terminal devices, among these platforms, Android occupies the largest market share, so the development of software to satisfy the daily use of Android users has become a big hit nowadays. In this design, the popular Android platform is used as the development technology to realize an APP software for vision test and protection. This software will bring convenience to the majority of network users to protect their eyesight, and optimize the vision and color blindness test method, saving people's time to go to the hospital for examination, providing a more convenient and efficient test method for the majority of users, and also providing timely prevention of myopia. Through this software, it is more convenient for people to test their eyesight and color blindness and prevent myopia. In this thesis, we will step by step introduce the vision test and protection APP based on Android. This thesis will step by step introduce the background and significance of the development of vision test and protection APP based on Android platform, then introduce the development, design, function and implementation process of this system in detail, and finally summarize this thesis.
{"title":"Design and Development of APP based on Android Vision Testing and Protection","authors":"Shuming Zhong, Hongyu Jiang, Haihong Zhao","doi":"10.54097/fcis.v4i3.11136","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11136","url":null,"abstract":"With the rise of mobile platforms, more and more applications are being developed. with the rise of mobile platforms, more and more traditional PC software has been transplanted to mobile platforms, such as iPad, iPhone, Android and other intelligent terminal devices, among these platforms, Android occupies the largest market share, so the development of software to satisfy the daily use of Android users has become a big hit nowadays. In this design, the popular Android platform is used as the development technology to realize an APP software for vision test and protection. This software will bring convenience to the majority of network users to protect their eyesight, and optimize the vision and color blindness test method, saving people's time to go to the hospital for examination, providing a more convenient and efficient test method for the majority of users, and also providing timely prevention of myopia. Through this software, it is more convenient for people to test their eyesight and color blindness and prevent myopia. In this thesis, we will step by step introduce the vision test and protection APP based on Android. This thesis will step by step introduce the background and significance of the development of vision test and protection APP based on Android platform, then introduce the development, design, function and implementation process of this system in detail, and finally summarize this thesis.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128472854","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11150
Bowei Yang
The purpose of this paper is to establish a feasible indicator evaluation system for the Daxing Airport Airside Economic Zone, so as to make suggestions for the land development of Daxing Airport. The land use of Daxing Airport Airside Economic Zone may lack a reasonable planning and indicator evaluation system. Based on the results of indicator calculation, combined with the spatial analysis function of GIS, it explains the reasons for some uncoordinated development of the area, and makes targeted suggestions for improvement of the problems in each land use segment. This study aims to comprehensively assess the integrated benefits of commercial service utilization in the airport and airside areas, and therefore constructs a multi-faceted indicator evaluation system to comprehensively measure the advantages and disadvantages of land use.
{"title":"Evaluation and Analysis of Airside Economic Zone based on GIS Technology","authors":"Bowei Yang","doi":"10.54097/fcis.v4i3.11150","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11150","url":null,"abstract":"The purpose of this paper is to establish a feasible indicator evaluation system for the Daxing Airport Airside Economic Zone, so as to make suggestions for the land development of Daxing Airport. The land use of Daxing Airport Airside Economic Zone may lack a reasonable planning and indicator evaluation system. Based on the results of indicator calculation, combined with the spatial analysis function of GIS, it explains the reasons for some uncoordinated development of the area, and makes targeted suggestions for improvement of the problems in each land use segment. This study aims to comprehensively assess the integrated benefits of commercial service utilization in the airport and airside areas, and therefore constructs a multi-faceted indicator evaluation system to comprehensively measure the advantages and disadvantages of land use.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123725488","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11146
Xueguang Li, Menchita F. Dumlao
New energy vehicles are developing rapidly in the world, China and Europe are vigorously promoting new energy vehicles. The State of Charge (SOC) is circumscribed as the remaining charge of the lithium battery (Li-ion), that indicates the driving range of a pure electric vehicle. Additionally, it is the basis for SOH and fault state prediction. Nevertheless, the SOC is incapable of measuring directly. In this paper, an LSTM-Attention-R network framework is proposed. The LSTM algorithm is accustomed to present the timing information and past state information of the lithium battery data. The Attention algorithm is used to extract the global information of features and solve the problem of long-term dependency. To ensure the diversity of feature extraction, the Attention algorithm in this paper uses multi-headed self-attentiveness. The CACLE dataset from the University of Maryland is used in this paper. Through the training of the model and the comparison, it is concluded that the LSTM-Attention-R algorithm networks proposed in this article can predict the value of SOC well. Meanwhile, this paper compares the LSTM-Attention-R algorithm with the LSTM algorithm, and also compares the LSTM-Attention-R algorithm with the Attention algorithm. Finally, it is concluded that the accomplishment of the network framework contrived is superior to the performance of these two algorithms alone. Finally, the algorithm has good engineering practice implications. The algorithm proposed provides a better research direction for future parameter prediction in the field of lithium batteries. It has a better theoretical significance.
{"title":"SOC Prediction for Lithium Battery Via LSTM-Attention-R Algorithm","authors":"Xueguang Li, Menchita F. Dumlao","doi":"10.54097/fcis.v4i3.11146","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11146","url":null,"abstract":"New energy vehicles are developing rapidly in the world, China and Europe are vigorously promoting new energy vehicles. The State of Charge (SOC) is circumscribed as the remaining charge of the lithium battery (Li-ion), that indicates the driving range of a pure electric vehicle. Additionally, it is the basis for SOH and fault state prediction. Nevertheless, the SOC is incapable of measuring directly. In this paper, an LSTM-Attention-R network framework is proposed. The LSTM algorithm is accustomed to present the timing information and past state information of the lithium battery data. The Attention algorithm is used to extract the global information of features and solve the problem of long-term dependency. To ensure the diversity of feature extraction, the Attention algorithm in this paper uses multi-headed self-attentiveness. The CACLE dataset from the University of Maryland is used in this paper. Through the training of the model and the comparison, it is concluded that the LSTM-Attention-R algorithm networks proposed in this article can predict the value of SOC well. Meanwhile, this paper compares the LSTM-Attention-R algorithm with the LSTM algorithm, and also compares the LSTM-Attention-R algorithm with the Attention algorithm. Finally, it is concluded that the accomplishment of the network framework contrived is superior to the performance of these two algorithms alone. Finally, the algorithm has good engineering practice implications. The algorithm proposed provides a better research direction for future parameter prediction in the field of lithium batteries. It has a better theoretical significance.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130556354","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.11271
Dongyang Xiao
Along with the application of electronic cars and advanced technology, the rapid development of intelligent driving and automatic driving as an important auxiliary driving technology is a more advanced stage, will be the future of transport is an important mode of transportation, the autopilot has now become the country and extremely and hot research topic in the world. Especially in recent years, autonomous driving has made great progress through technological innovation. This article provides an overview of the history and key technologies of autonomous driving, which today promises a safe, comfortable and efficient driving experience. In recent years, the field of artificial intelligence has made great strides in computer vision, machine learning and self-driving cars. As with any fast-moving field, it's getting harder and harder for a beginner to keep up with technology or get into it.
{"title":"Key Technologies for Automatic Driving Function Implementation","authors":"Dongyang Xiao","doi":"10.54097/fcis.v4i3.11271","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.11271","url":null,"abstract":"Along with the application of electronic cars and advanced technology, the rapid development of intelligent driving and automatic driving as an important auxiliary driving technology is a more advanced stage, will be the future of transport is an important mode of transportation, the autopilot has now become the country and extremely and hot research topic in the world. Especially in recent years, autonomous driving has made great progress through technological innovation. This article provides an overview of the history and key technologies of autonomous driving, which today promises a safe, comfortable and efficient driving experience. In recent years, the field of artificial intelligence has made great strides in computer vision, machine learning and self-driving cars. As with any fast-moving field, it's getting harder and harder for a beginner to keep up with technology or get into it.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134276366","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 : 2023-07-20DOI: 10.54097/fcis.v4i3.10850
Siyi Zheng
The Ethnic Language Collection Mini Program is an application based on mobile internet technology, designed to help users collect and record voice and text information of ethnic languages. The use of ethnic language collection mini programs can effectively promote the inheritance and protection of ethnic languages, helping users better understand and learn about ethnic culture. Language researchers can share their voice data with other users or research institutions to promote language research and protection.
{"title":"Design and Implementation of a Small Program for Collecting Ethnic Voice","authors":"Siyi Zheng","doi":"10.54097/fcis.v4i3.10850","DOIUrl":"https://doi.org/10.54097/fcis.v4i3.10850","url":null,"abstract":" The Ethnic Language Collection Mini Program is an application based on mobile internet technology, designed to help users collect and record voice and text information of ethnic languages. The use of ethnic language collection mini programs can effectively promote the inheritance and protection of ethnic languages, helping users better understand and learn about ethnic culture. Language researchers can share their voice data with other users or research institutions to promote language research and protection.","PeriodicalId":346823,"journal":{"name":"Frontiers in Computing and Intelligent Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114475513","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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