Pub Date : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00093
Lijuan Gao, Lingling Wu
objective to investigate the application of fuming Tablet combined with Liraglutid in the treatment of diabetic retinopathy and the effect on the level of insulin-like growth factor-1 (IGF-1) and serum vascular endothelial growth factor (VEGF). Methods: 112 cases of diabetic retinopathy were randomly divided into observation group and control group, 56 cases in each group. The control group was treated with liraglutide, and the observation group was treated with fuming tablet and combined treatment with liraglutide. After 4weeks, 3 months and 6 months, the clinical efficacy, visual acuity, macular thickness, VEGF, IGF-1 and the incidence of adverse reactions in 2 groups were statistically compared. Results: The total effective rate of observation group was higher than that of control group (P<0.05). After treatment, the visual acuity, macular thickness, VEGF and IGF-1 levels in the observation group were lower than those in the control group (P <0.05). Conclusion: Fuming tablet combined with liraglutide can improve visual acuity in patients with diabetic retinopathy.
{"title":"Application of Fuming Tablet Combined with Liraglutide in the Treatment of Diabetic Retinopathy","authors":"Lijuan Gao, Lingling Wu","doi":"10.1109/ICCEAI52939.2021.00093","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00093","url":null,"abstract":"objective to investigate the application of fuming Tablet combined with Liraglutid in the treatment of diabetic retinopathy and the effect on the level of insulin-like growth factor-1 (IGF-1) and serum vascular endothelial growth factor (VEGF). Methods: 112 cases of diabetic retinopathy were randomly divided into observation group and control group, 56 cases in each group. The control group was treated with liraglutide, and the observation group was treated with fuming tablet and combined treatment with liraglutide. After 4weeks, 3 months and 6 months, the clinical efficacy, visual acuity, macular thickness, VEGF, IGF-1 and the incidence of adverse reactions in 2 groups were statistically compared. Results: The total effective rate of observation group was higher than that of control group (P<0.05). After treatment, the visual acuity, macular thickness, VEGF and IGF-1 levels in the observation group were lower than those in the control group (P <0.05). Conclusion: Fuming tablet combined with liraglutide can improve visual acuity in patients with diabetic retinopathy.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126078793","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00058
Tianyu Ye, Zhaoming Wu, Shengqian Wang, Chengzhi Deng, Cong Tang
To solve the problem of slow diagnosis speed of kiwifruit foliar surface diseases and insufficient diagnosis ability of small target diseases, a lightweight network model based on YOLOv4-Tiny is proposed. Firstly, by introducing a depthwise separable convolution at the end of the backbone network, the number of parameters is reduced while the accuracy of diagnosis is guaranteed, and the training and diagnosis speed is improved. Secondly, SPP-Net is introduced in the Neck to realize the fusion of multiple receptive fields and the aggregation of multi-scale information, thereby improving the diagnostic accuracy of the model. Lastly, the multi-feature fusion FPN model is modified to improve the diagnosis ability of small target diseases, and then improve the diagnosis accuracy. The experimental results show that our method is superior to YOLOv4-Tiny on mAP@O.5, diagnosis speed, model size and small target disease diagnosis ability.
{"title":"Diagnosis method of kiwifruit foliar diseases based on improved YOLOv4-tiny","authors":"Tianyu Ye, Zhaoming Wu, Shengqian Wang, Chengzhi Deng, Cong Tang","doi":"10.1109/ICCEAI52939.2021.00058","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00058","url":null,"abstract":"To solve the problem of slow diagnosis speed of kiwifruit foliar surface diseases and insufficient diagnosis ability of small target diseases, a lightweight network model based on YOLOv4-Tiny is proposed. Firstly, by introducing a depthwise separable convolution at the end of the backbone network, the number of parameters is reduced while the accuracy of diagnosis is guaranteed, and the training and diagnosis speed is improved. Secondly, SPP-Net is introduced in the Neck to realize the fusion of multiple receptive fields and the aggregation of multi-scale information, thereby improving the diagnostic accuracy of the model. Lastly, the multi-feature fusion FPN model is modified to improve the diagnosis ability of small target diseases, and then improve the diagnosis accuracy. The experimental results show that our method is superior to YOLOv4-Tiny on mAP@O.5, diagnosis speed, model size and small target disease diagnosis ability.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124924006","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00087
Zhang Haidong, Chen Qiuyu, Dou Yajie
For the “LifeAfter” survival game problem, in order to make it smooth customs clearance, players need to meet multiple conditions, so the survival problem is abstracted into the path planning problem under multiple constraints. Aiming at this problem, we create A-D algorithm based on heuristic A * algorithm and Dijkstra algorithm. In order to reduce the complexity of computer calculation, we greatly improve the operation efficiency of the algorithm by the method of space exchange time. For the three problems in the topic, we propose three different benefit functions to optimize the global, avoid falling into the local optimal solution, guide the player under the constraints of multiple conditions, as far as possible to make the objective function value the largest (respectively: the least supply point (the sum of campfire point and food point), the path, the end point of satiation and comfort is the largest).
{"title":"The way of survival based on heuristic Dijkstra algorithm","authors":"Zhang Haidong, Chen Qiuyu, Dou Yajie","doi":"10.1109/ICCEAI52939.2021.00087","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00087","url":null,"abstract":"For the “LifeAfter” survival game problem, in order to make it smooth customs clearance, players need to meet multiple conditions, so the survival problem is abstracted into the path planning problem under multiple constraints. Aiming at this problem, we create A-D algorithm based on heuristic A * algorithm and Dijkstra algorithm. In order to reduce the complexity of computer calculation, we greatly improve the operation efficiency of the algorithm by the method of space exchange time. For the three problems in the topic, we propose three different benefit functions to optimize the global, avoid falling into the local optimal solution, guide the player under the constraints of multiple conditions, as far as possible to make the objective function value the largest (respectively: the least supply point (the sum of campfire point and food point), the path, the end point of satiation and comfort is the largest).","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122828373","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00095
Li Ruiyu, Li Yue, L. Xing, Li Meng
Objective: To investigate the effects of “Yingwei Fang” on nitric oxide synthase (eNOS), endothelin-converting enzyme (ECE) and homocysteine (Hey) in patients with type 2 diabetes mellitus. Methods: 39 cases of type 2 diabetes mellitus with different syndromes were observed, including 14 cases of Yin deficiency heat, 10 cases of Qi and Yin deficiency and 15 cases of Yin and Yang deficiency. All patients took “Yingwei Fang” capsules orally, 5 capsules per time, 3 times a day. At the same time, they were combined with conventional treatment such as dialectical TCM dialectical theory of treatment and hypoglycemia. The changes of eNOS, ECE and Hcy were measured after 150 days of treatment and compared with those before treatment. RESULTs: After treatment, there were changes in $e$NOS, ECE and Hcy in patients with Yin deficiency, Qi and Yin deficiency and Yin and Yang deficiency, among which eNOS, ECE and Hcy were significantly improved (P<0.05). ECE and Hcy were significantly improved in both Qi and Yin deficiency (P<0.01). Conclusion: “Yingwei Fang” can significantly improve vascular endothelial function in patients with type 2 diabetes.
{"title":"Effect of “Ying Wei Fang” on Vascular Endothelial Function in Patients with Different Syndromes of Type 2 Diabetes Mellitus","authors":"Li Ruiyu, Li Yue, L. Xing, Li Meng","doi":"10.1109/ICCEAI52939.2021.00095","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00095","url":null,"abstract":"Objective: To investigate the effects of “Yingwei Fang” on nitric oxide synthase (eNOS), endothelin-converting enzyme (ECE) and homocysteine (Hey) in patients with type 2 diabetes mellitus. Methods: 39 cases of type 2 diabetes mellitus with different syndromes were observed, including 14 cases of Yin deficiency heat, 10 cases of Qi and Yin deficiency and 15 cases of Yin and Yang deficiency. All patients took “Yingwei Fang” capsules orally, 5 capsules per time, 3 times a day. At the same time, they were combined with conventional treatment such as dialectical TCM dialectical theory of treatment and hypoglycemia. The changes of eNOS, ECE and Hcy were measured after 150 days of treatment and compared with those before treatment. RESULTs: After treatment, there were changes in $e$NOS, ECE and Hcy in patients with Yin deficiency, Qi and Yin deficiency and Yin and Yang deficiency, among which eNOS, ECE and Hcy were significantly improved (P<0.05). ECE and Hcy were significantly improved in both Qi and Yin deficiency (P<0.01). Conclusion: “Yingwei Fang” can significantly improve vascular endothelial function in patients with type 2 diabetes.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132827684","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00023
Cong Tang, Zhaoming Wu, Shengqian Wang, Chengzhi Deng, Linjie Luo
Aiming at the contradiction between accuracy and speed in industrial object detection, this paper proposes an industrial object detection method based on improved CenterNet. The improved method uses ResNet-50 as the Backbone to boost detection speed, and an upsampling layer is added to the feature processing network to improve detection accuracy. The expermient results show that the mAP of the improved method reaches 87.41 %, which is 3.44% higher than the CenterNet-Res101 method, and the detection speed reaches 31 FPS, which is 4 FPS faster than the CenterNet-Res101 method.
{"title":"Industrial object detection method based on improved CenterNet","authors":"Cong Tang, Zhaoming Wu, Shengqian Wang, Chengzhi Deng, Linjie Luo","doi":"10.1109/ICCEAI52939.2021.00023","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00023","url":null,"abstract":"Aiming at the contradiction between accuracy and speed in industrial object detection, this paper proposes an industrial object detection method based on improved CenterNet. The improved method uses ResNet-50 as the Backbone to boost detection speed, and an upsampling layer is added to the feature processing network to improve detection accuracy. The expermient results show that the mAP of the improved method reaches 87.41 %, which is 3.44% higher than the CenterNet-Res101 method, and the detection speed reaches 31 FPS, which is 4 FPS faster than the CenterNet-Res101 method.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"190 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123009299","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00105
G. Coviello, G. Avitabile, A. Florio, C. Talarico, Janet Roveda
The synchronization between wireless sensor nodes represents a big issue in all low-cost systems in which each node performs measurements using its own sensors and stores locally the measured values. In this paper, we will analyze in detail the implementation limits concerning the simplest synchronization strategy that can be implemented for Wireless Sensor Networks (WSNs). In fact, we consider a type of star network in which a master periodically sends a synchronization message to the slaves belonging to its own subnet. The considerations made are referred to commercial low-cost microprocessors and System-on-Chips (SoCs). Solutions too simplistic lead to large synchronization errors or excessive power consumption; correct approaches require continuous calibration by the slaves and are therefore impractical.
{"title":"Relationship between Timer Resolution and Synchronization Message Repetition Frequency in a Synchronized Wireless Sensor Network","authors":"G. Coviello, G. Avitabile, A. Florio, C. Talarico, Janet Roveda","doi":"10.1109/ICCEAI52939.2021.00105","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00105","url":null,"abstract":"The synchronization between wireless sensor nodes represents a big issue in all low-cost systems in which each node performs measurements using its own sensors and stores locally the measured values. In this paper, we will analyze in detail the implementation limits concerning the simplest synchronization strategy that can be implemented for Wireless Sensor Networks (WSNs). In fact, we consider a type of star network in which a master periodically sends a synchronization message to the slaves belonging to its own subnet. The considerations made are referred to commercial low-cost microprocessors and System-on-Chips (SoCs). Solutions too simplistic lead to large synchronization errors or excessive power consumption; correct approaches require continuous calibration by the slaves and are therefore impractical.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116665347","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00007
Y. Wu, Xue-feng Fu, Lichen Xu, Z. Jiang
In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.
{"title":"A Summary of the Latest Research on Knowledge Graph Technology","authors":"Y. Wu, Xue-feng Fu, Lichen Xu, Z. Jiang","doi":"10.1109/ICCEAI52939.2021.00007","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00007","url":null,"abstract":"In recent years, with the in-depth development of cognitive intelligence technology, knowledge graph and its related technologies have also made breakthroughs, specifically reflected in the construction of knowledge graph, reasoning and computing technology. On the basis of a comprehensive description of the definition of knowledge graph and the discussion of the development history of knowledge graph technology, this paper summarizes their current scientific research progress around the two major technologies of knowledge representation learning and knowledge extraction in knowledge graph. This paper discriminates the advantages and disadvantages of the two technologies, and points out the direction for the follow-up research and improvement of the technology. Finally, the paper makes a summary and prospect of the future research direction of knowledge graph technology.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115417233","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00008
Songjian Bao
In the process of image imaging, replication, scanning, transmission and display, image degradation will inevitably occur, such as image blurring, noise interference, etc. In the field of medical image application, clear and high-quality images are needed. Therefore, medical image restoration is of great significance. In view of the fact that the current popular image restoration algorithms are less than ideal, this paper proposes an improved non-local mean filtering algorithm based on medical image restoration. This algorithm firstly adopts the norm LO gradient minimization restoration algorithm to restore the smooth part of the image, then adopts the wave-atom transformation to restore the detail part of the image, and finally adopts the improved non-local mean filtering to deal with the ringing effect and false edge generated by wave-atom transformation. The algorithm experiment was carried out on MATLAB R2009a platform. The experimental results show that the restoration algorithm has certain improvement in both subjective and objective effects of image restoration compared with the current popular image restoration algorithm.
{"title":"An Improved Non-local Mean Filtering Algorithm Based on Medical Image Restoration","authors":"Songjian Bao","doi":"10.1109/ICCEAI52939.2021.00008","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00008","url":null,"abstract":"In the process of image imaging, replication, scanning, transmission and display, image degradation will inevitably occur, such as image blurring, noise interference, etc. In the field of medical image application, clear and high-quality images are needed. Therefore, medical image restoration is of great significance. In view of the fact that the current popular image restoration algorithms are less than ideal, this paper proposes an improved non-local mean filtering algorithm based on medical image restoration. This algorithm firstly adopts the norm LO gradient minimization restoration algorithm to restore the smooth part of the image, then adopts the wave-atom transformation to restore the detail part of the image, and finally adopts the improved non-local mean filtering to deal with the ringing effect and false edge generated by wave-atom transformation. The algorithm experiment was carried out on MATLAB R2009a platform. The experimental results show that the restoration algorithm has certain improvement in both subjective and objective effects of image restoration compared with the current popular image restoration algorithm.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123608193","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00071
L. Zhiming, Miao Sheng
In recent years, with the development of heart sound classification technology, it has played an important role in the detection of congenital heart disease. However, in the traditional heart sound classification tasks, they are all two classification tasks. However, the heart sound signals are actually collected from five different locations during the collection process. Before we classify the normal and abnormal heart sounds, we should carry out the multi-classification task of the mixed heart sound signals in the collection area. In this paper, Mel cepstrum coefficient and power spectral density are taken as data sets for machine learning. We are committed to finding the best classification results, so we set two different labels, one is the multi-classification task of the location of heart sound signal acquisition area, and the other is the two-classification task of normal and abnormal heart sound signals. The accuracy rate.recall rate and F1 rate of heart sound signal recognition after subarea can reach 92.92%, 91.56% and 94.04%, which provides reference for clinical heart sound classification.
{"title":"Multi-label classification of heart sound signals","authors":"L. Zhiming, Miao Sheng","doi":"10.1109/ICCEAI52939.2021.00071","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00071","url":null,"abstract":"In recent years, with the development of heart sound classification technology, it has played an important role in the detection of congenital heart disease. However, in the traditional heart sound classification tasks, they are all two classification tasks. However, the heart sound signals are actually collected from five different locations during the collection process. Before we classify the normal and abnormal heart sounds, we should carry out the multi-classification task of the mixed heart sound signals in the collection area. In this paper, Mel cepstrum coefficient and power spectral density are taken as data sets for machine learning. We are committed to finding the best classification results, so we set two different labels, one is the multi-classification task of the location of heart sound signal acquisition area, and the other is the two-classification task of normal and abnormal heart sound signals. The accuracy rate.recall rate and F1 rate of heart sound signal recognition after subarea can reach 92.92%, 91.56% and 94.04%, which provides reference for clinical heart sound classification.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128221469","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00043
Lin Li
Under the guidance of the quality management concept of Total Quality Management (TQM) and combined with the actual situation of colleges and universities, this study discusses the concept of teaching quality management in colleges and universities, analyzes the key points of online teaching quality management in colleges and universities, and constructs the teaching quality management model of online teaching in colleges and universities on the basis of TQM.
{"title":"TQM-based Study on Teaching Quality Management of Online Teaching in Colleges and Universities","authors":"Lin Li","doi":"10.1109/ICCEAI52939.2021.00043","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00043","url":null,"abstract":"Under the guidance of the quality management concept of Total Quality Management (TQM) and combined with the actual situation of colleges and universities, this study discusses the concept of teaching quality management in colleges and universities, analyzes the key points of online teaching quality management in colleges and universities, and constructs the teaching quality management model of online teaching in colleges and universities on the basis of TQM.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127955651","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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