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2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)最新文献

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3D Eye Model-Based Gaze Tracking System with a Consumer Depth Camera 基于3D眼睛模型的消费者深度相机注视跟踪系统
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00070
Liming Xu, Jiannan Chi
{"title":"3D Eye Model-Based Gaze Tracking System with a Consumer Depth Camera","authors":"Liming Xu, Jiannan Chi","doi":"10.1109/AEMCSE50948.2020.00070","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00070","url":null,"abstract":"Most existing gaze tracking systems are high-cost, intrusive and difficult to calibrate, and some rely on the infrared illuminant. However, such systems may not work outdoor and meet real-time requirements. This paper proposes a non-intrusive system based on the 3D eyeball model, which does not need the exact infrared illuminant and complicated calibration process and allows the natural movement of the head. In the proposed system, Kinect is used to track the iris center and face model of the person, and the 3D information is easy to obtain. At the same time, point cloud registration algorithm is applied based on feature points in the face model sequence to obtain accurate head pose estimation results. In this paper, a personal calibration process is also proposed to obtain the gaze model parameters for different users, such as the eyeball center and angle kappa. The proposed method has good adaptability to the change of illuminant and head movement. In the actual operating environment, the system speed reaches 30 fps, which can meet the requirements of real-time control.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115604704","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
Aggregated Load Prediction Based on Convolutional Long and Short-Term Memory Network 基于卷积长短期记忆网络的聚合负荷预测
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00183
Yaping Li, Jianguo Yao, Shengchun Yang, Ke Wang
{"title":"Aggregated Load Prediction Based on Convolutional Long and Short-Term Memory Network","authors":"Yaping Li, Jianguo Yao, Shengchun Yang, Ke Wang","doi":"10.1109/AEMCSE50948.2020.00183","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00183","url":null,"abstract":"With the rapid development of economy, the proportion of air-conditioning is increasing. Due to modeling difficulties and the different user habits, the current prediction error of air-conditioning load is large. Thus, this paper uses the idea of data-driving modeling and proposes a kind of convutational long short term neural networks (ConvLSTM) based on deep learning to build air-conditioning aggregation model. Experiments show the effectiveness of the method.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123041624","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
Some Techniques on Digital Signal Processing in the Visual Programming Environment Max 可视化编程环境下数字信号处理的若干技术[j]
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00127
Zhong Yu, Dai Yang
{"title":"Some Techniques on Digital Signal Processing in the Visual Programming Environment Max","authors":"Zhong Yu, Dai Yang","doi":"10.1109/AEMCSE50948.2020.00127","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00127","url":null,"abstract":"For Digital Media Art, Max is a high-quality visual programming language with the features of visualization and modularization. The processing of the digital signal in Max can achieve a variety of effects. The related operations include numerical operations, numerical mapping, numerical automatic generation, and conditional branch programming, etc. In the process of artistic creation, information such as audio, video and motion can be input, processed, and output. This article summarizes some basic techniques from the above aspects, aiming to promote the communications in art and other fields, and to some extent inspire the transformation of relevant art education.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117237336","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: 1
Research on Property Prediction of Materials Based on Machine Learning 基于机器学习的材料性能预测研究
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00017
Jiakun Zhao, Shibo Cong
{"title":"Research on Property Prediction of Materials Based on Machine Learning","authors":"Jiakun Zhao, Shibo Cong","doi":"10.1109/AEMCSE50948.2020.00017","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00017","url":null,"abstract":"In this paper, three feature selection methods and three machine learning regression models are used to select the best feature subset from the feature set to predict compound energy performance. By comparing the matching performance of different feature selection methods and machine learning models, the experimental results show that Ant Colony Optimization is used for feature selection and the Support Vector Regression model is used for the best prediction effect. The research in this paper can provide references for the prediction of new material properties in the future.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121133517","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: 1
A Specially Arranged Halbach Structure for Voice Coil Motors 特殊布置的音圈电机哈尔巴赫结构
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/aemcse50948.2020.00200
Di Wu, Zina Zhu, Kaiyuan Li, Peng Wu
{"title":"A Specially Arranged Halbach Structure for Voice Coil Motors","authors":"Di Wu, Zina Zhu, Kaiyuan Li, Peng Wu","doi":"10.1109/aemcse50948.2020.00200","DOIUrl":"https://doi.org/10.1109/aemcse50948.2020.00200","url":null,"abstract":"This paper proposes a special Halbach structure for the magnetic circuit design of voice coil motors(VCM). The permanent magnets arranged by the special Halbach array are stators and the coils are movers. After calculation and finite element software Ansoft Maxwell simulation, the results show that the improved structure not only provides greater thrust but also achieves more stable accuracy than conventional Halbach magnet arrays.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121133777","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
Facial Ethnicity Recognition Based on Transfer Learning from Deep Convolutional Networks 基于深度卷积网络迁移学习的人脸种族识别
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00073
Shixin Gao, Chuisheng Zeng, M. Bai, K. Shu
{"title":"Facial Ethnicity Recognition Based on Transfer Learning from Deep Convolutional Networks","authors":"Shixin Gao, Chuisheng Zeng, M. Bai, K. Shu","doi":"10.1109/AEMCSE50948.2020.00073","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00073","url":null,"abstract":"With the development of deep learning, computer face recognition has made significant progress. However, face ethnic characteristics information is rarely used in face recognition technology. The research of facial ethnicity recognition had not only been directly applied in daily life, but also avoided racial effects and improved model generalization performance. In the paper, we proposed a Chinese facial ethnicity recognition (CFER) model based on transfer learning from deep convolution networks. First, we collected 5 Chinese ethnic groups to build a face dataset containing ethnicity information; then we have applied CFER to recognize Chinese ethnicity characteristics and 10-fold cross validation method to estimate mainly the accuracy rate of the model. The average recognition rate of the model is 80.5%, meanwhile, the model also has good generalization performance. It's proved that deep learning method is feasible for facial ethnicity recognition.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127163985","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: 5
Research on the Design of Emotional Intelligent Robot for Empty Nesters 面向空巢老人的情感智能机器人设计研究
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00055
Qing Ni, Zhu Gao, Jing-liang Lin
{"title":"Research on the Design of Emotional Intelligent Robot for Empty Nesters","authors":"Qing Ni, Zhu Gao, Jing-liang Lin","doi":"10.1109/AEMCSE50948.2020.00055","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00055","url":null,"abstract":"With the development and progress of science and technology, the research and transformation of robots is more specific and more diversified. The progress of emotional robots is the current development trend, and it is necessary to integrate emotional robots into the aged care service by combining \"Internet +\" technology. Through intelligent robots, empty nesters are provided with emotional care, family communication, drug management, health management, entertainment and other service projects, which not only bring emotional comfort and security to empty nesters, but also meet the wishes of their children to support and care for them.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057998","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
In-Depth Study of Three-Dimensional Design Content of Transformer Substation 变电站三维设计内容的深入研究
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00203
Junhui Hu, Lan Guan, Bin Li, Jianguo Lv, Xiaoguang Yang, Hui Wang, Jingnan Shi
{"title":"In-Depth Study of Three-Dimensional Design Content of Transformer Substation","authors":"Junhui Hu, Lan Guan, Bin Li, Jianguo Lv, Xiaoguang Yang, Hui Wang, Jingnan Shi","doi":"10.1109/AEMCSE50948.2020.00203","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00203","url":null,"abstract":"With the development of modern technology, the degree of integration between design business and information technology is increasing. The digital design with three-dimensional digital design as the core will become the main axis throughout the whole process and the entire life cycle management. Through the gradual exploration and application in the power industry, certain results have been achieved in three-dimensional digital design, but the main problems remain in the local scope of individual units, and the overall lack of technical standards and development plans. Based on the full understanding and research of transformer substation design status and three-dimensional digital design, this paper draws the design depth of each professional three-dimensional digital design at each design stage by analyzing the application of three-dimensional digital design in the feasibility study, preliminary design and construction drawing stage. This paper provides a reference for comprehensive promotion of applications.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122147121","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
The Drowsy Testing System According to Deep-Learning 基于深度学习的困倦测试系统
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00060
Jiasheng Pan
{"title":"The Drowsy Testing System According to Deep-Learning","authors":"Jiasheng Pan","doi":"10.1109/AEMCSE50948.2020.00060","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00060","url":null,"abstract":"The danger of drowsy driving to public transportation is merely inferior to drunk driving; therefore this research principally defines a testing method of drowsy driving. Thus, this paper optimizes the algorithm according to the YOLO v3. Through attaching an attention device, the network can concentrate on the eyes and mouth of the person appropriately, and improve the network composition to advance the testing speed. Via measuring the rate of closed eyes, the frequency of yawning, and the detection of closed eyes various times in a unit time, the three criteria utilized to discover whether the driver has a drowsy driving condition. After examination, associated with other testing techniques, the method in this article has a noticeable improvement in testing precision and rate.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116619847","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
Biomechanical Analysis of Personalized Rib Implants with Different Materials 不同材料个性化肋骨植入物的生物力学分析
2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE) Pub Date : 2020-04-01 DOI: 10.1109/AEMCSE50948.2020.00142
Xuetao Zhang, Yufeng Zhou
{"title":"Biomechanical Analysis of Personalized Rib Implants with Different Materials","authors":"Xuetao Zhang, Yufeng Zhou","doi":"10.1109/AEMCSE50948.2020.00142","DOIUrl":"https://doi.org/10.1109/AEMCSE50948.2020.00142","url":null,"abstract":"In this paper, three-dimensional finite element analysis was used to analyze the mechanical properties and stress distribution of implants with different materials, and to explore the material selection and clinical application of individualized implants. Methods: According to the CT image data, the Mimics software was imported into the DICOM file to obtain the 3D model. The finite element model of the rib repair plate of the rib repair plate in different materials was established by software such as SOLIDWORKS and ANSYS Workbench. Results: The study found that the stress values was stainless steel > titanium > aluminum. The total displacement deformation is aluminum > titanium > stainless steel. Conclusion: Most commonly used implant repair materials are titanium alloys, which are less used for other metal materials. For the finite element analysis of different materials, it can be concluded that the mechanical properties of the implant under different metal materials under simulated biomechanical environment after rib repair implant implantation.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128380102","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
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