Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things最新文献_第2页

Intelligent Precision Recommendation Model of Digital Marketing Based On K-Means Algorithm 基于k均值算法的数字营销智能精准推荐模型

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603817

Ruo Yang

引用次数: 0

Image Diagnosis of Breast Masses Based on Deep Learning 基于深度学习的乳腺肿块图像诊断

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603898

Jianing Cao, Junbao Yang, Chuxin Cao

{"title":"Image Diagnosis of Breast Masses Based on Deep Learning","authors":"Jianing Cao, Junbao Yang, Chuxin Cao","doi":"10.1145/3603781.3603898","DOIUrl":"https://doi.org/10.1145/3603781.3603898","url":null,"abstract":"With the change of lifestyle, the incidence rate of breast diseases is also increasing. In some cases, there will also be malignant diseases, that is, breast cancer. It is a malignant tumor occurring in the epithelial tissue of the breast, with a very high morbidity and mortality. At present, there is no medical means to completely eradicate the disease. Therefore, early screening plays a very important role in preventing the disease. There are many types of breast diseases, such as malignant tumors and benign tumors. Different types of lesions have different characteristics, which increases the difficulty and workload of doctors in diagnosis, thereby increasing the diagnostic time and cost of individual patients. CT imaging diagnosis accounts for a large proportion in breast disease screening. Therefore, this article proposes a deep learning model to classify breast CT images based on how to help doctors reduce workload and improve diagnostic accuracy. The model can label the CT images as normal breast, malignant breast tumors, and benign breast tumors based on the characteristics of the patient's breast CT images, in order to achieve early diagnosis of breast diseases and reduce the workload of doctors, Improve the recovery rate of patients. After completing the model construction, this article trained and evaluated the model to verify its effectiveness.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133836719","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}

引用次数: 0

A Load Balancing Model for Parallel Simulation of Fluid-Structure Interaction in Cavitating Flow 空化流中流固耦合并行模拟的负载平衡模型

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603783

Qiao Liu, Chao Li, Jie Liu, Xiao-Wei Guo, Sen Zhang, Huajian Zhang, Han Xu

{"title":"A Load Balancing Model for Parallel Simulation of Fluid-Structure Interaction in Cavitating Flow","authors":"Qiao Liu, Chao Li, Jie Liu, Xiao-Wei Guo, Sen Zhang, Huajian Zhang, Han Xu","doi":"10.1145/3603781.3603783","DOIUrl":"https://doi.org/10.1145/3603781.3603783","url":null,"abstract":"Load unbalancing problem has a significant impact on the parallel efficiency of fluid-structure interaction simulation in cavitating flow. When the total parallelism is determined, the speedup will be seriously affected by the distribution of cores for the fluid solver and solid solver. This paper proposes an adaptive-λ load balancing model to maximally achieve the optimal parallel efficiency by generating a proper distribution scheme for the participant solvers. Our model is an optimization of the Kannan's method, which changes the original fixed-value λ to an adaptive one. Specific formulas are set up by a series of liner fittings and the parameter λ is calculated by a function of grid scale and parallel scale. A parallel FSI platform for cavitating flow based on preCICE is constructed to verify the present model. Experiments show that, compared with the traditional Kannan model, the adaptive-λ model could perform better parallel speedup and achieve wider application scope. This could help give a guidance on parallel decomposition for each participant solver in FSI applications.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124117999","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}

引用次数: 0

Application Research on Mining the Value of EMR Data Based on Word Frequency Analysis 基于词频分析的EMR数据价值挖掘应用研究

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603884

S. Weng, Qinyin Chen, Wei Li

{"title":"Application Research on Mining the Value of EMR Data Based on Word Frequency Analysis","authors":"S. Weng, Qinyin Chen, Wei Li","doi":"10.1145/3603781.3603884","DOIUrl":"https://doi.org/10.1145/3603781.3603884","url":null,"abstract":"Focusing on the discovery of the value of in-hospital electronic medical record data for the three \"chronic diseases\" of diabetes, liver disease and hypertension, it provides data support for improving the hospital's \"patient-centered\" service level. Through web crawler technology, word frequency analysis technology, WeChat applet development technology, etc., we complete the design and development of big data systems such as data collection, preprocessing, analysis, and visualization, and tap the potential value of ten-year electronic medical record data. The standardized data collation platform and the development of the \"Community Online\" WeChat applet were completed. The original html data was standardized and stored in a relational database; through data mining, the distribution rules of occupation, age, gender, etc. of regional chronic diseases were found; through word frequency analysis, three kinds of chronic disease admission symptoms, treatment medication and discharge life suggestions were found hot word. Taking the system as the carrier, and through the research on the value discovery of Electronic Medical Records (EMR) data, a systematic chronic disease service system from health warning to admission treatment to discharge tracking has been built for patients with diabetes, liver disease and hypertension. Provide decision-making support for \"early warning, early detection, early diagnosis, and early treatment\" of chronic diseases and regional improvement of comprehensive management of chronic diseases and scientific treatment.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124132471","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}

引用次数: 0

A Re-ranking Approach for Two-sided Fairness on Recommendation Systems 推荐系统中双边公平的重新排序方法

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603836

Yaowei Peng, Xuezhong Qian, Wei Song

引用次数: 0

Research on Deepfake Technology and Its Application 深度造假技术及其应用研究

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603790

Jiang Bu, Ri-Lie Jiang, Bin Zheng

{"title":"Research on Deepfake Technology and Its Application","authors":"Jiang Bu, Ri-Lie Jiang, Bin Zheng","doi":"10.1145/3603781.3603790","DOIUrl":"https://doi.org/10.1145/3603781.3603790","url":null,"abstract":"In recent years, with the continuous development of artificial intelligence technology, the application of deep counterfeiting technology has become a new trend of social networks, bringing new vitality in film and television industry, culture and education, advertising marketing and other fields. Meanwhile, the abuse and evil use of this technology has also aroused widespread concern and concern in the society. Based on the basic principle of deep forgery technology, this paper points out that deep forgery technology has the characteristics of high intelligence degree, rapid iterative optimization, difficult detection and identification, and summarizes the current deep forgery technology mainly includes video face changing, audio synthesis, text forgery and so on. This paper analyzes the typical application fields of deep forgery technology and the potential security risks such as personal and property damage, threatening election order and public security, aggravating social trust crisis, and puts forward measures to prevent and deal with the abuse of deep forgery technology from the aspects of improving the ability of forgery detection technology, strengthening the management of network platform, regulating through legal means, improving the public information media literacy, etc. In order to make the public more objective view and better use of deep forgery technology.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116970784","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}

引用次数: 0

Graph Quaternion-Valued Attention Networks for Node Classification 面向节点分类的图四元数关注网络

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603900

Jingchao Wang, Tongxu Lin, Guoheng Huang

引用次数: 0

A Few-shot Learning Method for the Defect Inspection of Lithium Battery Sealing Nails 锂电池密封钉缺陷检测的少量学习方法

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3604228

Chuan Xu, Yuping Ye, Jian-Kun Zhang, Zhan Song, Juan Zhao, Feifei Gu

{"title":"A Few-shot Learning Method for the Defect Inspection of Lithium Battery Sealing Nails","authors":"Chuan Xu, Yuping Ye, Jian-Kun Zhang, Zhan Song, Juan Zhao, Feifei Gu","doi":"10.1145/3603781.3604228","DOIUrl":"https://doi.org/10.1145/3603781.3604228","url":null,"abstract":"Vision-based industrial surface defect detection utilizing computer vision technologies to analyze defects in the appearance of industrial products has become popular in intelligent manufacturing. It makes inspectors move away from inefficient and labor-consuming traditional inspection methods. In this field, sealing nails play a vital role in the power battery of vehicles, and the industrial piece needs strict quality inspection according to its visual appearance before application. However, many difficulties exist, such as the lack of defect samples, low visibility of defects, and irregular shapes in the defect detection of industrial sealing nails. In this paper, we first re-labeled all non-normal areas based on the geometric contour features of the defects and made a practical classification. Second, obtain multi-dimensional image information by the polarization imaging technique; thus, it can effectively cope with low visibility. Third, proposing a new context-based Copy-Paste augmentation approach that can effectively expand the sealing nail dataset and improve the segmentation accuracy. Several experimental results have proven our methods’ accuracy and feasibility in segmentation detection models. For example, the mean pixel accuracy(mPA) criteria enhanced by about 14.9% compared with traditional methods.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122030760","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}

引用次数: 0

A Survey of Short-Term Traffic Volume Prediction Methods Based on Composite Models 基于复合模型的短期交通量预测方法综述

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603788

Wenjing Zhang, Dehong Kong, Xingmin Zou, Fengya Xu, Qingqing Yang, Chao-Hsien Hsieh

引用次数: 0

Convolutional neural network-based breast image diagnosis and analysis system 基于卷积神经网络的乳腺图像诊断与分析系统

Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things Pub Date : 2023-05-26 DOI: 10.1145/3603781.3603890

Jianing Cao, pei zhu

{"title":"Convolutional neural network-based breast image diagnosis and analysis system","authors":"Jianing Cao, pei zhu","doi":"10.1145/3603781.3603890","DOIUrl":"https://doi.org/10.1145/3603781.3603890","url":null,"abstract":"In order to achieve accurate screening and effective diagnosis of breast at early stage and thus improve the treatment rate of breast cancer patients, this paper proposes a convolutional neural network-based breast image diagnosis and analysis system, which aims to achieve rapid and accurate detection and diagnosis of early breast cancer through digital mammogram impact and breast pattern processing and digital feature recognition. The system uses convolutional neural network algorithm for classification, segmentation and diagnosis of breast images, which has the advantages of high accuracy, high efficiency and automation. In this paper, the algorithm principle, experimental method and experimental results of the system are introduced and analyzed, and compared with other breast image diagnosis and analysis systems. Finally the system provides real-time display and image recognition display of the results of diagnostic analysis, which is easy for personnel to view and modify. The experimental results show that the system has an accuracy rate of over 90% for the specified types of breast abnormalities affected and can be used as an important tool for diagnostic analysis of breast images.","PeriodicalId":391180,"journal":{"name":"Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of Things","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128414853","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}

引用次数: 0