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A Study on Digital Healthcare Optometry System Using Optometry DB 基于验光数据库的数字医疗验光系统研究
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.09.155
Do-yeon Kim, J. Jung, Yong-Man Kim, Koo-Rack Park
[Abstract] Recently, digital health care technology is spreading and developing in various fields. Therefore, in this paper, we realized that the field to which digital healthcare technology is not applied is the field of optometry, and implemented a digital healthcare optometry system for precise lens manufacturing. A device called Phoroptor is used to manufacture the lens, and this device sets the lens by measuring the visual acuity of the person who requested the glasses. And when the person to be measured wears glasses, a device called a PD meter is used to align the pupil center and lens focus. However, there is a limit to the convenience of precise lens production and optometry due to the absence of a database and program that can accumulate and analyze the PD measurement error, inconvenience and error due to manual control of the Phoroptor, and optometric information. Therefore, in this paper, PD meter design for more accurate PD measurement, Phoroptor design and Phoroptor control application design for automatic Phoroptor control, and a database and analysis program that automatically set lenses using optometry information for each subject had been designed. Based on this, ultimately, a digital healthcare optometry system using an optometry database has been implemented.
【摘要】近年来,数字医疗技术在各个领域得到推广和发展。因此,在本文中,我们意识到数字医疗技术无法应用的领域是验光领域,并实现了用于精密镜片制造的数字医疗验光系统。一种叫做Phoroptor的设备被用来制造镜片,该设备通过测量要求佩戴眼镜的人的视力来设置镜片。当被测者戴上眼镜时,一种被称为PD计的设备被用来校准瞳孔中心和透镜焦点。然而,由于缺乏一个数据库和程序来积累和分析PD测量误差,由于人工控制phooptor带来的不便和误差,以及验光信息,限制了精密镜片生产和验光的便利性。因此,本文设计了实现更精确PD测量的PD计设计、实现自动光控的Phoroptor设计和Phoroptor控制应用程序设计,以及根据每个被试的验光信息自动设置镜头的数据库和分析程序。在此基础上,最终实现了使用验光数据库的数字医疗验光系统。
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引用次数: 0
Design of an Exploration Drone for Digital Twin based Building Control 基于数字孪生体的建筑控制探索无人机设计
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.05.009
Sang-hoon Shin, Myeong-Chul Park
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引用次数: 0
Ensemble Deep Network for Dense Vehicle Detection in Large Image 基于集成深度网络的大图像密集车辆检测
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.01.045
Jae-Hyoung Yu, Youngjoon Han, Jongkuk Kim, H. Hahn
[Abstract] This paper has proposed an algorithm that detecting for dense small vehicle in large image efficiently. It is consisted of two Ensemble Deep-Learning Network algorithms based on Coarse to Fine method. The system can detect vehicle exactly on selected sub image. In the Coarse step, it can make Voting Space using the result of various Deep-Learning Network individually. To select sub-region, it makes Voting Map by to combine each Voting Space. In the Fine step, the sub-region selected in the Coarse step is transferred to final Deep-Learning Network. The sub-region can be defined by using dynamic windows. In this paper, pre-defined mapping table has used to define dynamic windows for perspective road image. Identity judgment of vehicle moving on each sub-region is determined by closest center point of bottom of the detected vehicle's box information. And it is tracked by vehicle's box information on the continuous images. The proposed algorithm has evaluated for performance of detection and cost in real time using day and night images captured by CCTV on the road.
[摘要]本文提出了一种对大图像中密集小型车辆进行高效检测的算法。它由两种基于粗变细方法的集成深度学习网络算法组成。该系统可以对选定的子图像进行准确的车辆检测。在粗化步骤中,可以分别利用各种深度学习网络的结果来构造投票空间。为了选择子区域,将每个投票空间组合成投票地图。在精细步骤中,将粗步中选择的子区域转移到最终的深度学习网络中。子区域可以通过使用动态窗口来定义。本文使用预定义映射表来定义透视道路图像的动态窗口。在每个子区域上移动的车辆的身份判断是由被检测车辆箱体信息的最底部中心点确定的。并通过连续图像上的车辆箱体信息进行跟踪。利用CCTV在道路上捕获的日夜图像,对该算法的检测性能和成本进行了实时评估。
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引用次数: 0
A study on non-face-to-face 5AL teaching and learning method applying extended reality (XR) 应用扩展现实(XR)的非面对面5AL教与学方法研究
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.09.125
B. Lee, Kyoung-A Lee
Abstract
摘要
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引用次数: 0
Educational Contents for Concepts and Algorithms of Artificial Intelligence 人工智能的概念和算法教学内容
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.01.037
Han Sun Gwan
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引用次数: 1
Effects of an Aquatic Exercise Program on Body Composition, Blood Components and Physical Fitness in the Elderly Women 水上运动对老年妇女身体成分、血液成分和体质的影响
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.08.075
Soon-Hee Lee, I. Yang
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引用次数: 0
A Study on the Impact of Perceived Value of Art Based on Artificial Intelligence on Consumers' Purchase Intention 基于人工智能的艺术感知价值对消费者购买意愿的影响研究
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.01.275
R. Wang
[Abstract] The purpose of this research is to explore what factors affect consumers' purchasing decisions when purchasing artificial intelligence artworks. The research pointed out that in the real shopping model, customer perceived value includes three dimensions: product perceived value, service perceived value and social perceived value. On this basis, an artificial intelligence work purchase decision-making influence model was constructed
【摘要】本研究旨在探讨消费者在购买人工智能艺术品时,哪些因素会影响其购买决策。研究指出,在真实购物模型中,顾客感知价值包括三个维度:产品感知价值、服务感知价值和社会感知价值。在此基础上,构建了人工智能工作采购决策影响模型
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引用次数: 0
Adaptive Face Mask Detection System based on Scene Complexity Analysis 基于场景复杂度分析的自适应人脸检测系统
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.05.001
Jaeyong Kang, Jeonghwan Gwak
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引用次数: 0
Canonical correlation between body information and lipid-profile: A study on the National Health Insurance Big Data in Korea 体质信息与血脂的典型相关性:韩国国民健康保险大数据研究
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.01.201
Han-Gue Jo, Young-Heung Kang
{"title":"Canonical correlation between body information and lipid-profile: A study on the National Health Insurance Big Data in Korea","authors":"Han-Gue Jo, Young-Heung Kang","doi":"10.9708/JKSCI.2021.26.01.201","DOIUrl":"https://doi.org/10.9708/JKSCI.2021.26.01.201","url":null,"abstract":"","PeriodicalId":17254,"journal":{"name":"Journal of the Korea Society of Computer and Information","volume":"46 1","pages":"201-208"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88059055","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 Study on Satisfaction of Third Party Mobile Payment Service in China 中国第三方移动支付服务满意度研究
Pub Date : 2021-01-01 DOI: 10.9708/JKSCI.2021.26.01.259
Jae-Young Moon
[Abstract] SNS has recently reached the level of providing financial services to customers through a mobile payment system that goes beyond the existing payment system using Fintech, which is a fusion of financial industry and information technology. These mobile payment systems are increasing in scale as time goes by, and their functions are reaching the same level as general financial services. This study is an empirical study to examine what is the most important factor in Internet banking by targeting users who use WeChat Pay among Chinese Internet bank users with the highest Fintech Adoption rate. SNS has recently reached the level of providing financial services to customers through a mobile payment system that goes beyond the existing payment system using Fintech, which is a fusion of financial industry and information technology. As a results, 2 factors positive influence on Acceptance intention and Customer satisfaction. These mobile payment systems are increasing in scale as time goes by, and their functions are reaching the same level as general financial services.
【摘要】最近,SNS已经达到了通过移动支付系统向客户提供金融服务的水平,这种移动支付系统超越了现有的使用Fintech的支付系统,是金融行业与信息技术的融合。随着时间的推移,这些移动支付系统的规模越来越大,其功能已达到与一般金融服务相同的水平。本研究是一项实证研究,以金融科技采用率最高的中国互联网银行用户中使用微信支付的用户为目标,研究互联网银行最重要的因素是什么。SNS最近利用金融产业和信息技术(it)的融合——金融科技(Fintech),超越了现有的支付系统,通过移动支付系统向顾客提供金融服务。结果表明,2个因素对接受意向和顾客满意度有正向影响。随着时间的推移,这些移动支付系统的规模越来越大,其功能已达到与一般金融服务相同的水平。
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引用次数: 0
期刊
Journal of the Korea Society of Computer and Information
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