2020 13th International Symposium on Computational Intelligence and Design (ISCID)最新文献_第2页

Research on the Appearance Performance of Mosquito-proof Wormwood Polyester Seamless Knitted Fabric 艾草涤纶防蚊无缝针织物外观性能研究

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00020

L. Mao, Zimin Jin, Mingtao Zhao, Jianwei Tao, Yingjie Zheng

{"title":"Research on the Appearance Performance of Mosquito-proof Wormwood Polyester Seamless Knitted Fabric","authors":"L. Mao, Zimin Jin, Mingtao Zhao, Jianwei Tao, Yingjie Zheng","doi":"10.1109/ISCID51228.2020.00020","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00020","url":null,"abstract":"In this paper, wormwood extract was selected as the raw material of repellent and added into polyester spinning stock solution to prepare the sample of bamboo polyester mosquito proof yarn.Then the appearance performance of fabrics were studied to test whether the comprehensive anti mosquito fabric can maintain the original appearance characteristics in use. Taking the arrangement ratio of ordinary yarn and mosquito-proof yarn in the face, fabric structure, ordinary raw material in the face yarn,the raw material in the bottom yarn as fabric specifications test factors, the weaving scheme of 12 mosquito-proof fabrics were determined according to the level additional test. The relationship between fabric drapability, fabric wrinkle resistance, fabric pilling resistance was studied by orthogonal experiment. The results show that ordinary raw material in the face yarn has the greatest influence on the fabric drapability, the arrangement ratio of the face has the least effect on the fabric wrinkle resistance, and the arrangement ratio of the face has the greatest influence on the fabric pilling resistance, so as to find out the fabric design technology with better fabric drapability, fabric wrinkle resistance and fabric pilling resistance, which provides a favorable basis for the develpoment of mosquito-proof wormwood polyester seamless knitted fabrics.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133854302","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

Visualization Analysis for Articles Published in the Journal of Medical Education Online from 2010 to 2019 based on Citespace 基于Citespace的《医学教育在线杂志》2010 - 2019年发表文章的可视化分析

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00080

Yun Xu

{"title":"Visualization Analysis for Articles Published in the Journal of Medical Education Online from 2010 to 2019 based on Citespace","authors":"Yun Xu","doi":"10.1109/ISCID51228.2020.00080","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00080","url":null,"abstract":"Object: To understand the development process, hotspots and trends of international medical education research and provide references for medical education research in future; Methods: Retrieve academic papers published by Medical Education Online from 2010 to 2019, and use bibliometrics and graph theory of scientific knowledge to perform statistics and analysis on the papers; Results: A total of 412 papers were included, and the number of papers published was between 18 and 75 each year. The institution with the largest number of papers published by the University of California, Formed a team of multiple core authors. The citation rate of the paper is 86.7%, the average number of citations is 7.63 times, the H-index index is 22, and there are 27 keywords with a frequency of 5 times; Conculsion: High-level universities pay more attention to medical education research, publish a large number of papers and form multiple research teams; medical education research covers a wide range, high simulation simulation, teaching evaluation and feedback, pediatric residency training, transition care skills. are hot topics of research; the content of medical education research is constantly evolving. Undergraduate medical education is the most central frontier field. Professional literacy, standardized patients, online education, academic performance, and educational continuity are also important frontier fields","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116950812","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

Nondestructive Detection of Masson Pine Seedlings Morphological Indexes based on 3D-Reconstruction and SVR 基于三维重建和SVR的马尾松幼苗形态指标无损检测

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00084

Yurong Li, Y. Liu, Chaorong Ni, Yeqi Fei

{"title":"Nondestructive Detection of Masson Pine Seedlings Morphological Indexes based on 3D-Reconstruction and SVR","authors":"Yurong Li, Y. Liu, Chaorong Ni, Yeqi Fei","doi":"10.1109/ISCID51228.2020.00084","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00084","url":null,"abstract":"China's forest area is wide, and the plantation area ranks first in the world. Masson Pine is one of the widely distributed afforestation varieties of trees in China. Obtaining morphological indexes of Masson Pine seedlings is helpful to select excellent afforestation seedlings and further improve the afforestation effect of seedlings. In order to realize the rapid and accurate evaluation of morphological indexes of Masson Pine seedlings a set of nondestructive detection system for morphological indexes of Masson Pine seedlings was designed, which integrated machine vision technology and machine learning technology. Firstly, an image acquisition hardware experimental platform is established and the camera is calibrated; then the software system performs preprocessing, image correction, stereo matching and other operations on the collected seedling image sequence to obtain the spatial point cloud information of the seedlings; finally, the three-dimensional model of Masson Pine seedlings is obtained after reconstructing the surface of the spatial point cloud by using the triangulation algorithm; and then the relevant SVR calculation is used to calibratte the accurate morphological indexes of Masson Pine seedlings quickly and non destructively.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116174947","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

Glove detection system based on VGG-16 network 基于VGG-16网络的手套检测系统

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00045

Miao Jin, Xiwen Chen, Guoshu Lai, Zhiwei Guo, Tianfu Huang, Zhuo Chen, Quan Wang, Jin-tao Fu, Gaoning Nie, Jun Zhang

引用次数: 1

A Novel Optimization Algorithm Inherited From Gravitational and Spherical Search Dynamics 一种基于引力和球面搜索动力学的优化算法

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00027

Zhentao Tang, Kaiyu Wang, Jiarui Shi, Sichen Tao, Yuki Todo, Shangce Gao

{"title":"A Novel Optimization Algorithm Inherited From Gravitational and Spherical Search Dynamics","authors":"Zhentao Tang, Kaiyu Wang, Jiarui Shi, Sichen Tao, Yuki Todo, Shangce Gao","doi":"10.1109/ISCID51228.2020.00027","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00027","url":null,"abstract":"The meta-heuristic is becoming important in the field of modern optimization, and gained more and more attention. In the past thirty years there has been a wide range of meta-heuristic, such as gravitational search algorithm (GSA), has achieved a great success. Spherical search (SS) is the one of newest proposed meta-heuristic algorithms. SS performs search effectively in exploration, but due to the lack of local exploitation ability, it converges slowly and can’t exploit the small region around the current promising solution. This paper proposes a novel optimization algorithm, namely SSGSA, which is inherited from the SS and GSA to combine the effective exploration and exploitation of each algorithm, respectively. To evaluate the effectiveness of SSGSA, we compared it with the original SS, original GSA, particle swarm optimization, and whale optimization algorithm on the IEEE CEC’17 benchmark function suit. Experimental results show that the proposed new method outperforms its competitors in terms of convergence speed and solution accuracy.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130480899","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 Real-time and High-efficiency Surface Defect Detection Method for Metal Sheets Based on Compact CNN 基于Compact CNN的金属薄板表面缺陷实时高效检测方法

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00064

Xinyue Zhou, Yuman Nie, Yaoxiong Wang, Pingguo Cao, M. Ye, Yuanyang Tang, Zhou Wang

{"title":"A Real-time and High-efficiency Surface Defect Detection Method for Metal Sheets Based on Compact CNN","authors":"Xinyue Zhou, Yuman Nie, Yaoxiong Wang, Pingguo Cao, M. Ye, Yuanyang Tang, Zhou Wang","doi":"10.1109/ISCID51228.2020.00064","DOIUrl":"https://doi.org/10.1109/ISCID51228.2020.00064","url":null,"abstract":"Surface defect detection has received increased attention in the quality control of industrial products. It is an urge need to develop a real-time, high-efficiency defect detection algorithm on automatic detection equipment. The traditional image processing method based on connected domain does not meet the throughput requirement and cost huge efforts. In this paper, A novel detection algorithm based on compact convolutional neural network (CNN) is applied to confirm the defect's existence in the target region of an image. Experimental results show that our proposed compact CNN detection kernel finishes in 7ms per image and it achieves 8.57x speedup when compared to the traditional image processing method. Our compact CNN-based real-time processing pipeline also achieves 96.85% detection accuracy rate, which is more accurate and robust than human detection and traditional image processing algorithms. For the whole image processing pipeline, it achieves 1.79x throughput improvement in terms of image per second and higher efficiency in terms of out-of-pocket cost.","PeriodicalId":236797,"journal":{"name":"2020 13th International Symposium on Computational Intelligence and Design (ISCID)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126366772","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

Eye Movement Experiment Research on Users’ Aesthetic Preferences of Car Seats 汽车座椅使用者审美偏好的眼动实验研究

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00075

Yanan Huang, Weilin Ma, Yuan Yang

引用次数: 0

A Document Processing Scheme for Journal Submissions Based on Locality Sensitive Hashing and Scale-invariant Feature Transform 基于位置敏感哈希和尺度不变特征变换的期刊提交文档处理方案

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00069

Dezhi Wu, Peng Shi, Liang Xu, Hongya Wang

引用次数: 0

Design and Realization of Non-radix-2 FFT Prime Factor Processor for 5G Broadcasting in Release 16 5G广播用非基数2 FFT素因子处理器的设计与实现

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00098

Jingxin Dai, Hang Yin

引用次数: 0

The Water Quality Online Monitoring System Based on Wireless Sensor Network 基于无线传感器网络的水质在线监测系统

2020 13th International Symposium on Computational Intelligence and Design (ISCID) Pub Date : 2020-12-01 DOI: 10.1109/ISCID51228.2020.00059

Q. Bai, Jiahao Wu, C. Jin

引用次数: 5