2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)最新文献_第2页

Competition quota allocation based on analytic hierarchy process and data processing and prediction combined with clustering method 基于层次分析法和数据处理预测与聚类相结合的竞赛配额分配方法

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00121

Qiaohui Han, Xinping Zhang, Liyan Xu, Junqi Zhang

{"title":"Competition quota allocation based on analytic hierarchy process and data processing and prediction combined with clustering method","authors":"Qiaohui Han, Xinping Zhang, Liyan Xu, Junqi Zhang","doi":"10.1109/AEMCSE55572.2022.00121","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00121","url":null,"abstract":"This paper, taking a match of the province of north China as an example, based on the schools for the past ten years and awards for qualitative and quantitative data analysis and processing. Then through the model to predict the next year, and on the basis of the present situation and awards by the normal given the competition for the school places allocation scheme, in order to improve the quality and efficiency. This paper presents a method and process of big data analysis and processing by using SPSS and MATLAB and other mathematical software based on actual cases. The prediction results are reliable and can be used for reference. The innovation of this paper is that the weight ratio of analytic hierarchy process is used as the reference for quota allocation. Its advantage is that it can make the allocation result more flexible and easy to be controlled artificially. In addition, the paper adopts arithmetic average method, geometric average method and eigenvalue method respectively in the weight calculation, and then takes the average weight of the three methods to make the result more robust.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124038029","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

Recommendation Algorithm based on Relative Features 基于相关特征的推荐算法

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00138

Xuan Wang, Cui Zhu, Wenjun Zhu, Bingxin Xue

引用次数: 0

Prediction Model for Transmission Line Icing Thickness Based on ISSA-WNN 基于ISSA-WNN的输电线路覆冰厚度预测模型

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/aemcse55572.2022.00075

Handong Dan, Bo Hu, Xiang Shen, Hailin Liao, Hong-yu Ni

{"title":"Prediction Model for Transmission Line Icing Thickness Based on ISSA-WNN","authors":"Handong Dan, Bo Hu, Xiang Shen, Hailin Liao, Hong-yu Ni","doi":"10.1109/aemcse55572.2022.00075","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00075","url":null,"abstract":"Transmission line icing causes great harm to the safety of power system in the whole line. The prediction of transmission line icing thickness can effectively guide line ice melting. In order to predict the icing thickness of transmission lines, a new icing prediction model based on improved sparrow search algorithm (ISSA) optimized wavelet neural network (WNN) is proposed. In the standard sparrow algorithm, tent chaotic map is introduced to increase the diversity of initial population of the algorithm and makes it easier for improved sparrow search algorithm to jump out of the local optimum; Use t-distribution variation of sparrow individual position at the end of the algorithm to make the algorithm search the ideal value faster. Use the improved sparrow search method to search and optimize the initial weight and wavelet factors of wavelet neural network, effectively avoid the shortcomings of unstable prediction results and fall into local optimal number. Finally, combined with the on-site monitoring data of icing in East China Power Grid in 2021, through the simulation and comparison of different prediction models, it is proved that the prediction accuracy of the proposed model has been greatly improved.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127281421","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

Design and implementation of online judgment system based on microservice architecture and Docker 基于微服务架构和Docker的在线判断系统的设计与实现

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00150

Junshang Liang, Chunyu Tu

引用次数: 1

Multimodal sentiment analysis based on multi-head self-attention and convolutional block attention module 基于多头自注意和卷积块注意模块的多模态情感分析

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/aemcse55572.2022.00059

Feng Geng, Haihoua Yang, Changde Wu, Jinqiang Li

{"title":"Multimodal sentiment analysis based on multi-head self-attention and convolutional block attention module","authors":"Feng Geng, Haihoua Yang, Changde Wu, Jinqiang Li","doi":"10.1109/aemcse55572.2022.00059","DOIUrl":"https://doi.org/10.1109/aemcse55572.2022.00059","url":null,"abstract":"Sarcasm is a type of emotional expression. Sarcasm is commonly used on social media to express the inverse of what appears to be a statement and what is said. Previous automatic sarcasm detection mainly focused on text. With the rise of image sharing mode on social media platforms, text cannot fully reveal users’ emotions, so people begin to study multimodal sentiment analysis by combining text and images. Previous researches on sarcasm detection have used Bidirectional Long Short-term Memory Network (Bi-LSTM) and Residual Network (ResNet) to extract text and image feature vectors, respectively. While Multi-Head Self-Attention (MH-SA) is added to the Bi-LSTM model to perform relation extraction, which can effectively avoid complex feature engineering in traditional tasks. In the process of image extraction, the channel attention module (CAM) and the spatial attention module (SAM) are used to weight different spatial and channel features and focus on different regions and features of the image. The two complement each other, greatly improving the network’s ability to express features. On the Twitter dataset, our proposed model has a sarcasm detection accuracy of 87.55 %, which outperforms most models proposed in current papers.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"161 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126919155","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: 3

Expectation-Constrained Programming Model for Tourist Route of Attractions Based on Uncertainty Theory 基于不确定性理论的景点旅游路线期望约束规划模型

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00069

Zheng Huang, Yufu Ning, Fengming Liu

引用次数: 0

Data layout optimization based on the spatio-temporal model of field access 基于野外存取时空模型的数据布局优化

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00055

Yongliang Wang, Naijie Gu, Junjie Su, Dongsheng Qi, Zhuorui Ning

引用次数: 0

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00131

Ping-wei Zhang

引用次数: 0

UAV identifies passable paths in unknown indoor environments based on Deep-learning 无人机基于深度学习识别未知室内环境下的可通过路径

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/aemcse55572.2022.00039

Haiyang Li, Bo Jiang, Hong-xun Xu

引用次数: 0

Evaluation Method of Medical Students' Public English Learning Engagement Based on Machine Learning 基于机器学习的医学生公共英语学习参与度评价方法

2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2022-04-01 DOI: 10.1109/AEMCSE55572.2022.00093

Hang Dai, Tianyu Zhao

{"title":"Evaluation Method of Medical Students' Public English Learning Engagement Based on Machine Learning","authors":"Hang Dai, Tianyu Zhao","doi":"10.1109/AEMCSE55572.2022.00093","DOIUrl":"https://doi.org/10.1109/AEMCSE55572.2022.00093","url":null,"abstract":"As one of the important groups in higher education, it is very important for medical students to pay attention to their learning path, learning state and learning effect in Public English curriculum. Based on the theory of learning engagement, this study chooses medical students' Public English learning engagement as the research object, and construct the learning engagement evaluation index system based on machine learning. This study selects 131 students majoring in clinical medicine and medical imaging of 2020 as the research objects, and conducts mixed Public English teaching practice for medical students and conducts relevant research on learning engagement on this basis. The results show that the selected medical students' behavioral engagement, cognitive engagement and emotional engagement in Public English learning are at the upper middle level as a whole. Teachers and schools should pay attention to these students' engagement in the three dimensions, especially in emotional engagement, and pay special attention to students' learning emotional experience.","PeriodicalId":309096,"journal":{"name":"2022 5th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125009070","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