Pub Date : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105377
Yuanxiong Liu, Younghwan Pan
With the continuous growth of the global smart farm market share, the application of the hydroponic system under the smart farm system in the market is also becoming mature. The hydroponic system combined with the urban commercial space provides healthier fruits and vegetables to the employees working in the commercial space. These healthy fruits and vegetables not only improve the physical health of the staff and reduce mental stress but also serve them in a more refined and precise manner. We investigate the market share data of smart farms and based on the same case, analyze and summarize the service object, value, and composition of this case. The hydroponic system and smart farm are better combined with the commercial space to improve the happiness of the staff to a certain extent.
{"title":"Office Space Combine with Hydroponic Cultivation System Based on Perspective of Smart Farm","authors":"Yuanxiong Liu, Younghwan Pan","doi":"10.1109/ECEI57668.2023.10105377","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105377","url":null,"abstract":"With the continuous growth of the global smart farm market share, the application of the hydroponic system under the smart farm system in the market is also becoming mature. The hydroponic system combined with the urban commercial space provides healthier fruits and vegetables to the employees working in the commercial space. These healthy fruits and vegetables not only improve the physical health of the staff and reduce mental stress but also serve them in a more refined and precise manner. We investigate the market share data of smart farms and based on the same case, analyze and summarize the service object, value, and composition of this case. The hydroponic system and smart farm are better combined with the commercial space to improve the happiness of the staff to a certain extent.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121150171","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105307
Lulu C. H. Sun
With the integration of the Internet and education information, education data has been developed rapidly in the new era of education big data. After analyzing the online learning evaluation system supported by big data, the main characteristics of the process evaluation in online learning are analyzed in this study under the condition of big data analysis. As a result, the main contents of the process evaluation in online teaching are discussed to redesign the process evaluation system model of online teaching supported by big data. The specific process of the management system is also proposed. The results of this study provide a new research perspective and reference object for the evaluation system of online learning and contribute to the more accurate and humanized theoretical research of online learning services.
{"title":"Design and Strategy Research of Online Learning Process Evaluation System Based on Big Data Intelligent Analysis Technology","authors":"Lulu C. H. Sun","doi":"10.1109/ECEI57668.2023.10105307","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105307","url":null,"abstract":"With the integration of the Internet and education information, education data has been developed rapidly in the new era of education big data. After analyzing the online learning evaluation system supported by big data, the main characteristics of the process evaluation in online learning are analyzed in this study under the condition of big data analysis. As a result, the main contents of the process evaluation in online teaching are discussed to redesign the process evaluation system model of online teaching supported by big data. The specific process of the management system is also proposed. The results of this study provide a new research perspective and reference object for the evaluation system of online learning and contribute to the more accurate and humanized theoretical research of online learning services.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"23 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114099687","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105260
Ping Chen, Yuanrong He, Tao Zhong, Leiwen Zhong, Liangtang Chen, Zhiying Xie, Yangfeng Lai
Since old structures were constructed a long time ago, it is vital to find out the extent of their damage and restore the ground. Thus, we developed a ground digital elevation model data (DEM) of ancient structures based on three-dimensional laser point cloud data. Using the point cloud DEM data, we analyzed the flow direction and flow of collected water to obtain the water distribution data around ancient buildings. It is confirmed that the accuracy of the results of the groundwater analysis became higher through the elevation analysis of the cross-section of the point cloud data. The passive water accumulation area was also calculated using a point cloud made to fit the aircraft.
{"title":"Analysis of Ground Ponding Characteristics of Ancient Buildings Based on 3D Point Cloud","authors":"Ping Chen, Yuanrong He, Tao Zhong, Leiwen Zhong, Liangtang Chen, Zhiying Xie, Yangfeng Lai","doi":"10.1109/ECEI57668.2023.10105260","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105260","url":null,"abstract":"Since old structures were constructed a long time ago, it is vital to find out the extent of their damage and restore the ground. Thus, we developed a ground digital elevation model data (DEM) of ancient structures based on three-dimensional laser point cloud data. Using the point cloud DEM data, we analyzed the flow direction and flow of collected water to obtain the water distribution data around ancient buildings. It is confirmed that the accuracy of the results of the groundwater analysis became higher through the elevation analysis of the cross-section of the point cloud data. The passive water accumulation area was also calculated using a point cloud made to fit the aircraft.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125098301","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105332
Dong Zhou
The development of modern information technology has set off a new wave of virtual reality education in the field of teaching. Virtual simulation training is an important development at present. Throughout the development of teaching form, it has experienced a development path from plane to three-dimensional, single to complex, and simple to deep. However, subject to the influence of various objective factors, the leap forward of experimental teaching to this process is limited, which in turn affects the development of experimental teaching. The teaching effect of experimental teaching application. The main purpose of this paper is to study the application of computer virtual reality technology in sports. The experiment showed that the excellent number of people in the experimental group accounted for 35%, while only 10% in the control group, which is one-third of the virtual teaching experiment.
{"title":"Application of Computer Virtual Reality Technology in College Sports","authors":"Dong Zhou","doi":"10.1109/ECEI57668.2023.10105332","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105332","url":null,"abstract":"The development of modern information technology has set off a new wave of virtual reality education in the field of teaching. Virtual simulation training is an important development at present. Throughout the development of teaching form, it has experienced a development path from plane to three-dimensional, single to complex, and simple to deep. However, subject to the influence of various objective factors, the leap forward of experimental teaching to this process is limited, which in turn affects the development of experimental teaching. The teaching effect of experimental teaching application. The main purpose of this paper is to study the application of computer virtual reality technology in sports. The experiment showed that the excellent number of people in the experimental group accounted for 35%, while only 10% in the control group, which is one-third of the virtual teaching experiment.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130446924","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105370
Yuxin Zhang, Guofa Chen, Jiehui Fang
Changes in national policies affect the development of the online education industry. We study the development of online education platforms under China's ‘double reduction’ policy. According to the policy needs and the actual situation, we suggest that the online education platform can be transformed into an auxiliary education platform. After studying the homework management, an indicator selection system is propsed for arranging homework based on AHP. Teachers can give priority to the proportion of preview homework according to the system when arranging homework. Finally, the structure of the auxiliary teaching platform is proposed and presented with a data flow diagram. This paper provides suggestions for the follow-up development of an online education platform, which is conducive to the further optimization and transformation of the platform in the future.
{"title":"Transformation of Online Education Platform by Internet Technology under China's Double Reduction Policy","authors":"Yuxin Zhang, Guofa Chen, Jiehui Fang","doi":"10.1109/ECEI57668.2023.10105370","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105370","url":null,"abstract":"Changes in national policies affect the development of the online education industry. We study the development of online education platforms under China's ‘double reduction’ policy. According to the policy needs and the actual situation, we suggest that the online education platform can be transformed into an auxiliary education platform. After studying the homework management, an indicator selection system is propsed for arranging homework based on AHP. Teachers can give priority to the proportion of preview homework according to the system when arranging homework. Finally, the structure of the auxiliary teaching platform is proposed and presented with a data flow diagram. This paper provides suggestions for the follow-up development of an online education platform, which is conducive to the further optimization and transformation of the platform in the future.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116490209","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105361
Xiaoyan Yang, Qiu Li, Caijuan He
The mean shift tracker has difficulty in tracking fast moving targets and suffers from local optimal problem. To overcome the limitation of the mean-shift tracking algorithm, a new approach is proposed by integrating the mean-shift algorithm and optical flow methods. Even with n the rough position, the mean-shift algorithm achieves precise tracking of the target. Several tracking experiments show that the proposed algorithm can effectively track fast moving target and overcome the tracking error cumulating problems.
{"title":"Improved Meanshift Tracking Algorithm Based on Optical flow","authors":"Xiaoyan Yang, Qiu Li, Caijuan He","doi":"10.1109/ECEI57668.2023.10105361","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105361","url":null,"abstract":"The mean shift tracker has difficulty in tracking fast moving targets and suffers from local optimal problem. To overcome the limitation of the mean-shift tracking algorithm, a new approach is proposed by integrating the mean-shift algorithm and optical flow methods. Even with n the rough position, the mean-shift algorithm achieves precise tracking of the target. Several tracking experiments show that the proposed algorithm can effectively track fast moving target and overcome the tracking error cumulating problems.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132430223","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105251
Nathan James Green, Lucas Slomski, Xin Shen
We present a 3D multi-planar integral imaging architecture that uses multiple arrays of image sensors or a moving sensor distributed along its x-y-z axis. A corresponding algorithm is developed for 3D volumetric computational reconstruction. Compared to conventional integral imaging, multi-planar integral imaging can reduce 3D image noises to enhance the accuracy of 3D depth detection. Experimental results indicate that the proposed configuration improves the 3D reconstructed image quality at the point of theoretical maximum performance by 0.4346 and 12.42% via SSIM and PSNR, and reduces the 3D depth detection error by 2.5%.
{"title":"Study of Multi-planar 3D Integral Imaging Sensing and Visualization","authors":"Nathan James Green, Lucas Slomski, Xin Shen","doi":"10.1109/ECEI57668.2023.10105251","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105251","url":null,"abstract":"We present a 3D multi-planar integral imaging architecture that uses multiple arrays of image sensors or a moving sensor distributed along its x-y-z axis. A corresponding algorithm is developed for 3D volumetric computational reconstruction. Compared to conventional integral imaging, multi-planar integral imaging can reduce 3D image noises to enhance the accuracy of 3D depth detection. Experimental results indicate that the proposed configuration improves the 3D reconstructed image quality at the point of theoretical maximum performance by 0.4346 and 12.42% via SSIM and PSNR, and reduces the 3D depth detection error by 2.5%.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132677156","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105380
Guangze Cao, Jianing Yang, Meize Chen
In recent years, the population of the elderly in China is increasing, entering an aging society. Most elderly people have a fall experience, and the number and probability of falls increase with age. If there is no timely warning and rescue after the elderly fall, it may cause secondary injury due to failure to rescue in time. With the development of artificial intelligence and the corresponding demand increase, it has become an inevitable trend to seek comprehensive fall detection and monitoring equipment. Thus, we introduce a cloud-processing IoT system that combines sensor detection and visual detection.
{"title":"Fusion System Design of Multi-sensors and Visual Algorithm For Elderly Fall Detection","authors":"Guangze Cao, Jianing Yang, Meize Chen","doi":"10.1109/ECEI57668.2023.10105380","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105380","url":null,"abstract":"In recent years, the population of the elderly in China is increasing, entering an aging society. Most elderly people have a fall experience, and the number and probability of falls increase with age. If there is no timely warning and rescue after the elderly fall, it may cause secondary injury due to failure to rescue in time. With the development of artificial intelligence and the corresponding demand increase, it has become an inevitable trend to seek comprehensive fall detection and monitoring equipment. Thus, we introduce a cloud-processing IoT system that combines sensor detection and visual detection.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133314990","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 : 2023-02-03DOI: 10.1109/ECEI57668.2023.10105374
P. Netinant, Nongnapus Akkharasup-Anan, Meennapa Rakhiran
This study presents the design and implementation of an IoT-based class attendance system with face recognition for the high school. The system includes the Open-Computer-Vision (OpenCV) library, Python programming language, and a Raspberry Pi as the main processing unit. The system employs a combination of Haar-Cascades for face detection and Eigenfaces, Fisher faces, and Local Binary Pattern Histograms for face recognition. The methodology for the system is described in detail, including flowcharts for each stage of the system. The experiment results of the system are analyzed and presented, including plots and screenshots. We discussed the challenges encountered during the project, the system's potential applications, and future developments. The system was developed to automate the attendance-taking process, increase the accuracy and security of attendance records, and provide data to improve student performance and progress by recording class attendance in Google Sheets.
{"title":"Class Attendance System using Unimodal Face Recognition System based on Internet of Educational Things","authors":"P. Netinant, Nongnapus Akkharasup-Anan, Meennapa Rakhiran","doi":"10.1109/ECEI57668.2023.10105374","DOIUrl":"https://doi.org/10.1109/ECEI57668.2023.10105374","url":null,"abstract":"This study presents the design and implementation of an IoT-based class attendance system with face recognition for the high school. The system includes the Open-Computer-Vision (OpenCV) library, Python programming language, and a Raspberry Pi as the main processing unit. The system employs a combination of Haar-Cascades for face detection and Eigenfaces, Fisher faces, and Local Binary Pattern Histograms for face recognition. The methodology for the system is described in detail, including flowcharts for each stage of the system. The experiment results of the system are analyzed and presented, including plots and screenshots. We discussed the challenges encountered during the project, the system's potential applications, and future developments. The system was developed to automate the attendance-taking process, increase the accuracy and security of attendance records, and provide data to improve student performance and progress by recording class attendance in Google Sheets.","PeriodicalId":176611,"journal":{"name":"2023 IEEE 6th Eurasian Conference on Educational Innovation (ECEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123865454","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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