Manual inspection of the mask is too time-consuming and laborious. In order to detect whether a mask is worn in a crowded public place, a mask-wearing detection method based on improved YOLOV7 is proposed, which uses Depth wise separable convolution instead of conventional convolution, in order to integrate the local feature information and the whole image information deeply, Dilated Convolution was used to improve the Pyramid Pooling Module (DC-PPM) , at last, the loss function of target location is optimized, which makes it not only have the ability of feature extraction to fuse the whole and local information, but also have the ability of not losing the detail information. The experimental results show that the detection accuracy and speed of the algorithm are 95.07% and 79 frames/s respectively, which are 3.4% and 14 frames/s higher than the original YOLOV7 algorithm, very good to meet the actual application needs.
{"title":"Mask wearing detection algorithm based on improved Yolov7","authors":"Xu Zhou, Guojun Lin","doi":"10.54097/gq3qzdghjz","DOIUrl":"https://doi.org/10.54097/gq3qzdghjz","url":null,"abstract":"Manual inspection of the mask is too time-consuming and laborious. In order to detect whether a mask is worn in a crowded public place, a mask-wearing detection method based on improved YOLOV7 is proposed, which uses Depth wise separable convolution instead of conventional convolution, in order to integrate the local feature information and the whole image information deeply, Dilated Convolution was used to improve the Pyramid Pooling Module (DC-PPM) , at last, the loss function of target location is optimized, which makes it not only have the ability of feature extraction to fuse the whole and local information, but also have the ability of not losing the detail information. The experimental results show that the detection accuracy and speed of the algorithm are 95.07% and 79 frames/s respectively, which are 3.4% and 14 frames/s higher than the original YOLOV7 algorithm, very good to meet the actual application needs.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"22 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423452","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}
Self-supervised learning uses the label-free data learning model and has a significant impact on the NLP task. It reduces data annotation costs and improves performance. The main applications include pre-training models such as BERT and GPT, contrast learning, and pseudo-supervised and semi-supervised methods. It has been successfully applied in text classification, emotion analysis and other fields. Future research directions include mixed unsupervised learning, cross-modal learning and improving interpretability of models while focusing on ethical social issues.
{"title":"Application of self-supervised learning in natural language processing","authors":"Ye Zhang","doi":"10.54097/urpv6i8g3j","DOIUrl":"https://doi.org/10.54097/urpv6i8g3j","url":null,"abstract":"Self-supervised learning uses the label-free data learning model and has a significant impact on the NLP task. It reduces data annotation costs and improves performance. The main applications include pre-training models such as BERT and GPT, contrast learning, and pseudo-supervised and semi-supervised methods. It has been successfully applied in text classification, emotion analysis and other fields. Future research directions include mixed unsupervised learning, cross-modal learning and improving interpretability of models while focusing on ethical social issues.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"146 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the rapid development of information technology, smart logistics plays a key role in digital transformation. Taking Jingdong as the research object, this paper focuses on the application of 5G technology in the field of smart logistics, and discusses in depth its impact on the digital transformation of Jingdong's smart logistics. On the basis of analysing the current situation of digital transformation of Jingdong's smart logistics, it focuses on the specific application of 5G technology in the logistics network, with a special focus on the promotion of 5G cloud leased lines to mobile warehousing. The detailed analysis of the financial comparison table reveals the positive impact of 5G technology on Jingdong's logistics business, as reflected in the significant increase in revenue and gross profit. Meanwhile, in-depth research on the practical application of 2.5G technology in Jingdong Intelligent Logistics provides valuable experience for the introduction of 5G technology.
{"title":"Impact of 5G technology on digital transformation of Jingdong Smart Logistics","authors":"Zekai Kong","doi":"10.54097/jbtgj70prx","DOIUrl":"https://doi.org/10.54097/jbtgj70prx","url":null,"abstract":"With the rapid development of information technology, smart logistics plays a key role in digital transformation. Taking Jingdong as the research object, this paper focuses on the application of 5G technology in the field of smart logistics, and discusses in depth its impact on the digital transformation of Jingdong's smart logistics. On the basis of analysing the current situation of digital transformation of Jingdong's smart logistics, it focuses on the specific application of 5G technology in the logistics network, with a special focus on the promotion of 5G cloud leased lines to mobile warehousing. The detailed analysis of the financial comparison table reveals the positive impact of 5G technology on Jingdong's logistics business, as reflected in the significant increase in revenue and gross profit. Meanwhile, in-depth research on the practical application of 2.5G technology in Jingdong Intelligent Logistics provides valuable experience for the introduction of 5G technology.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"70 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140421262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper focuses on an in-depth study of the problem of sales volume and pricing strategy for vegetable categories, aiming at constructing an automatic pricing and replenishment model to maximize revenue. First, by analyzing the sales data of each category and single item of vegetables, the mean value of sales volume is calculated, and the correlation between each category of vegetables is visualized using charts and Pearson correlation coefficient heat maps, and it is found that there is a significant correlation between specific categories. Secondly, this paper adopts the cost-plus pricing method to calculate the markup rate of each individual item and combines it with linear regression analysis to reveal the relationship between markup rate and sales volume, and further predicts the sales volume and price in the coming week through the GWO-LSTM model, which provides data-driven pricing and replenishment strategies for the superstore based on the data. Finally, for the data of a specific time, this paper develops a linear programming model to formulate a replenishment and pricing scheme that meets market demand and maximizes revenue. The methodology and findings of this study have important practical applications for retail formats such as fresh food superstores.
{"title":"Research on Vegetable Sales Volume and Pricing Strategy Based on GWO-LSTM Modeling","authors":"Zihan Wang, Xinyi Liu, Yuzhuo Wang","doi":"10.54097/g2xl0vlzbh","DOIUrl":"https://doi.org/10.54097/g2xl0vlzbh","url":null,"abstract":"This paper focuses on an in-depth study of the problem of sales volume and pricing strategy for vegetable categories, aiming at constructing an automatic pricing and replenishment model to maximize revenue. First, by analyzing the sales data of each category and single item of vegetables, the mean value of sales volume is calculated, and the correlation between each category of vegetables is visualized using charts and Pearson correlation coefficient heat maps, and it is found that there is a significant correlation between specific categories. Secondly, this paper adopts the cost-plus pricing method to calculate the markup rate of each individual item and combines it with linear regression analysis to reveal the relationship between markup rate and sales volume, and further predicts the sales volume and price in the coming week through the GWO-LSTM model, which provides data-driven pricing and replenishment strategies for the superstore based on the data. Finally, for the data of a specific time, this paper develops a linear programming model to formulate a replenishment and pricing scheme that meets market demand and maximizes revenue. The methodology and findings of this study have important practical applications for retail formats such as fresh food superstores.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"114 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140423698","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 : 2023-05-24DOI: 10.54097/jceim.v10i3.8674
Liang Wang, Yan Shi
Each part of the reducer has a design life, if any of the parts fail to reach the design life, it will affect the normal operation of the entire equipment. The life of a part is affected by its own material, structure, load and environment, etc., and fatigue life analysis requires the S-N curve of the material. This paper mainly considers the influence of the material, structure and load of the part on the part, and analyzes the mechanical response of the transmission parts in the reducer under alternating load.
{"title":"Fatigue analysis of reducer transmission parts","authors":"Liang Wang, Yan Shi","doi":"10.54097/jceim.v10i3.8674","DOIUrl":"https://doi.org/10.54097/jceim.v10i3.8674","url":null,"abstract":"Each part of the reducer has a design life, if any of the parts fail to reach the design life, it will affect the normal operation of the entire equipment. The life of a part is affected by its own material, structure, load and environment, etc., and fatigue life analysis requires the S-N curve of the material. This paper mainly considers the influence of the material, structure and load of the part on the part, and analyzes the mechanical response of the transmission parts in the reducer under alternating load.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135090459","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 : 2023-05-24DOI: 10.54097/jceim.v10i3.8684
Jingjing Lin, Ruijuan Zheng
Tongue imaging in traditional Chinese medicine is one of the important indicators for diagnosis, and its research has become a hot topic in the field of traditional Chinese medicine. In recent years, with the continuous development of computer technology, more and more research has applied computer technology to the analysis and diagnosis of tongue image classification in traditional Chinese medicine, which is of great significance for the diagnosis and treatment of traditional Chinese medicine. The research on the classification of tongue images is also of great importance. This article reviews the current status and existing problems of tongue image research.
{"title":"A Review on the Classification of Traditional Chinese Medicine Tongue Images Based on Computer Technology","authors":"Jingjing Lin, Ruijuan Zheng","doi":"10.54097/jceim.v10i3.8684","DOIUrl":"https://doi.org/10.54097/jceim.v10i3.8684","url":null,"abstract":"Tongue imaging in traditional Chinese medicine is one of the important indicators for diagnosis, and its research has become a hot topic in the field of traditional Chinese medicine. In recent years, with the continuous development of computer technology, more and more research has applied computer technology to the analysis and diagnosis of tongue image classification in traditional Chinese medicine, which is of great significance for the diagnosis and treatment of traditional Chinese medicine. The research on the classification of tongue images is also of great importance. This article reviews the current status and existing problems of tongue image research.","PeriodicalId":475988,"journal":{"name":"Journal of Computing and Electronic Information Management","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135090460","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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