• Title/Summary/Keyword: class registration

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Investigating the Behavior of College Students in Class Registration using Social Network Analysis (사회 네크워크 분석으로 본 수강신청 행태)

  • Lim, Sung-Min;Kim, Jinheum
    • The Korean Journal of Applied Statistics
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    • v.26 no.4
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    • pp.661-674
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    • 2013
  • We investigate the class registration behavior of college students with data collected from the spring semester of 2012. The network originally consists of a 2-mode network between a student and class subjects. We first transform the 2-mode network into 1-mode network of students. We also subdivide it into a smaller network such as components and communities to understand the detailed behavior of students in class registration. Finally, the relationship between GPA and the centrality measures, gender, and grade of students is analyzed using a multiple regression analysis.

The Association between Cancer Incidence and Family Income: Analysis of Korean National Health Insurance Cancer Registration Data

  • Kim, Ji-Man;Kim, Hee-Moon;Jung, Bo-Young;Park, Eun-Cheol;Cho, Woo-Hyun;Lee, Sang-Gyu
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.4
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    • pp.1371-1376
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    • 2012
  • Background: Economic status is known to be directly or indirectly related to cancer incidence since it affects accessibility to health-related social resources, preventive medical checkups, and lifestyle. This study investigates the relationship between cancer incidence and family income in Korea. Methods:Using the Korean National Health Insurance cancer registration data in 2009, the relationship between their family income class and cancer risk was analyzed. The age-standardized incidence rates of the major cancers were calculated for men and women separately. After adjusting for age, residential area, and number of family members, cancer risks for major cancers according to family income class were estimated using a logistic regression model. Results: In men, the risk of stomach cancer for Income Class 5 (lowest) was 1.12 times (95% CI 1.02-1.23) higher than that of Income Class 1 (highest), for lung cancer 1.61 times (95% CI 1.43-1.81) higher, for liver cancer 1.22 times (95% CI 1.08-1.37) higher, and for rectal cancer 1.37 times higher (95% CI 1.18-1.59). In women, the risk of stomach cancer for Income Class 5 was 1.22 times higher (95% CI 1.08-1.37) than that for Income Class 1, while for cervical cancer it was 2.47 times higher (95% CI 2.08-2.94). In contrast, in men, Income Class 1 showed a higher risk of thyroid cancer and prostate cancer than that of Income Class 5, while, in women the same was the case for thyroid cancer. Conclusions: The results show the relationship between family income and cancer risk differs according to type of cancer.

Problems and Improvements of the Class B Articles of Clothing and Personal Belongings Design Classification under the Korean Design Protection Act (디자인보호법 물품구분표상 B군 의복 및 신변용품 분류체계 개선안)

  • Cho, Kyeong Sook;Jo, Jae Shin
    • Journal of the Korean Society of Costume
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    • v.64 no.5
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    • pp.76-90
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    • 2014
  • The Design Protection Act of Korea classifies industrial designs into examined-based and unexamined-based articles. For design application and registration under the DPA, applicable product for the design needs to be chosen in order for it to be registered. Clothing and personal belongings under class B in the classification list are subject to unexamined-based articles. A sound and logical classification system will lead to higher administrative efficiency as well as assurance of more convenience for the system users. This paper examines the suitability of the design classification for clothing and personal belongings and purposes to suggest improvements.

The Study on the Determinants of Minor and Double Major Satisfaction of University Students (대학생의 부전공, 복수전공 만족도 결정요인에 관한 연구)

  • Jeong, Hyeon-Il;Ryu, Young-Jin
    • The Journal of the Korea Contents Association
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    • v.19 no.4
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    • pp.111-119
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    • 2019
  • The purpose of this study was to explore the determinants of minor and double major satisfaction of university students. To achieve this, F.G.I. was performed with the university teaching assistants to create a questionnaire. The survey was performed to the subject of 239 university students completing minor and double major. A statistical program (SPSS) was used for data analysis and factor analysis, reliability analysis, and multiple regression analysis were conducted. First, it drew three principal factors including need-achievement, class discrimination, and course registration discrimination by conducting factor analysis regarding survey questions on minor and double major. Next, the multiple regression analysis identifying the effects of the three principal factors was conducted. The results indicated three principal factors to be statistically significant. The degree of influence over satisfaction marked the highest in the order of need-achievement, class discrimination, and course registration discrimination. In the conclusion, the positive function and possibilities of minor and double major are proposed.

Estimating Resident Registration Numbers of Individuals in Korea: Revisited

  • Kim, Heeyoul;Park, Ki-Woong;Choi, Daeseon;Lee, Younho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.6
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    • pp.2946-2959
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    • 2018
  • Choi et al's work [1] in 2015 demonstrated that the resident registration numbers (RRNs) of individuals could be conveniently estimated through their personal information that is ordinarily disclosed in social network services. As a follow-up to the study, we introduce the status of the RRN system in Korea in terms of its use in the online environment, particularly focusing on their secure use. We demonstrate that it is still vulnerable against a straightforward attack. We establish that we can determine the RRNs of the current president Moon Jae-In and the world-class singer PSY.

A Study on 3D CT Image Segmentation and Registration of Mandibular First Premolar (하학 제 1 소구치의 3 차원 CT 영상 분할 및 정합 연구)

  • Jin K.C.;Chun K.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.175-176
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    • 2006
  • The aim of the 3D medical imaging is to facilitate the creation of clinically usable image-based algorithm. Clinically usable imaging algorithm for image analysis requires a high degree of interaction to verify and correct results from registration algorithms, such as the Insight Toolkit (ITK) and the Visualization Toolkit (VTK) which are the class libraries. ITK provides segmentation algorithms and VTK has powerful 3D visualization. However, to apply those libraries to the medical images such as Computerized Tomography (CT), the algorithm based on the interactive construction and modification of data objects are necessary. In this paper we showed the 3D registration about mandibular premolar of human teeth acquired by micro-CT scanner. Also, we used the ITK to find the contour of pulp layer of premolar, furthermore, the 3D imaging was visualized with VTK designed to create one kind of view on the data of 3D visualization. Finally, we evaluated that the volume model of pulp layer would be useful for the tooth morphology in dental medicine.

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Curriculum Mining Analysis Using Clustering-Based Process Mining (군집화 기반 프로세스 마이닝을 이용한 커리큘럼 마이닝 분석)

  • Joo, Woo-Min;Choi, Jin Young
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.45-55
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    • 2015
  • In this paper, we consider curriculum mining as an application of process mining in the domain of education. The basic objective of the curriculum mining is to construct a registration pattern model by using logs of registration data. However, subject registration patterns of students are very unstructured and complicated, called a spaghetti model, because it has a lot of different cases and high diversity of behaviors. In general, it is typically difficult to develop and analyze registration patterns. In the literature, there was an effort to handle this issue by using clustering based on the features of students and behaviors. However, it is not easy to obtain them in general since they are private and qualitative. Therefore, in this paper, we propose a new framework of curriculum mining applying K-means clustering based on subject attributes to solve the problems caused by unstructured process model obtained. Specifically, we divide subject's attribute data into two parts : categorical and numerical data. Categorical attribute has subject name, class classification, and research field, while numerical attribute has ABEEK goal and semester information. In case of categorical attribute, we suggest a method to quantify them by using binarization. The number of clusters used for K-means clustering, we applied Elbow method using R-squared value representing the variance ratio that can be explained by the number of clusters. The performance of the suggested method was verified by using a log of student registration data from an 'A university' in terms of the simplicity and fitness, which are the typical performance measure of obtained process model in process mining.

Time efficiency and operator convenience of using a micro-screw in image registration for guided implant surgery (마이크로스크류가 가이드 임플란트 수술을 위한 영상정합 과정에서 작업시간과 술자편의성에 미치는 영향)

  • Mai, Hai Yen;Lee, Du-Hyeong
    • The Journal of Korean Academy of Prosthodontics
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    • v.57 no.3
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    • pp.219-224
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    • 2019
  • Purpose: The image registration of radiographic image and digital surface data is essential in the computer-guided implant guide system. The purpose of this study was to examine the effects of using micro-screw on the working time and convenience of operators in the process of image matching for guided implant surgery. Materials and methods: A mandibular dental model was prepared in partial edentulism for Kennedy class I classification. Two micro-screws were placed on the each side of retromolar area. Radiographic and scan images were taken using computed-tomography and digital scanning. The images were superimposed by 12 operators in software in two different conditions: using remaining teeth image alone and using teeth and micro-screws images. Working time, operator convenience and satisfaction were obtained, and analyzed using the Mann-Whitney U test (${\alpha}=.05$). Results: The working time was not statistically different between image registration conditions (P>.05); however, operator convenience and satisfaction were higher in the teeth and micro-screw assisted condition than in the teeth-alone assisted condition (P<.001). Conclusion: The use of micro-screw for the image registration has no effect in working time reduction, but improves operator convenience and satisfaction.

Trends of Market and Approval Management System for in vitro Diagnostic Veterinary Medical Reagents in Korea

  • Kang, Kyoung-Mook;Kang, Min-Hee;Suh, Tae-Young;Kang, Hwan-Goo;Moon, Jin-San
    • Journal of Veterinary Clinics
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    • v.35 no.4
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    • pp.119-125
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    • 2018
  • In vitro diagnostic veterinary medical reagents (IVDVMRs) were diverted the medical devices from medicine by the revision of the pharmaceutical affairs act enforcement regulations in 2015 in Korea. It classified into class I-IV according to risks of individual and public health. However, good manufacturing practices requirements on IVDVMRs were exempted from the current system. The registration of IVDVMRs by the Animal and Plant Quarantine Agency has gradually increased since 2012, and total of 584 products from 68 companies were registered from 1978 to 2017. Most of these items are clinical immunochemistry (infection disease), clinical immunochemistry (non-infection disease), molecular genetics, endocrinology, blood gas analysis, clinical microbiology, toxin, heavy metal and drug of abuse, other etc. The market size of IVDVMRs reported from the Korea Animal Health Products Association was estimated to be approximately 51.9 billion won in 2017. The domestic consumption and the export sales were approximately 31.2 and 20.7 billion won, respectively. They are increasing 23.9% (CAGR) in domestic consumption and 40.4% (CAGR) in export from 2011 to 2017.

The registration and approval of Oriental Medical devices for the entry into U.S. market (한방의료기기의 미국 시장 진출을 위한 심사제도 소개)

  • Oh, Ji Yun;Choi, Yu Na;Jo, Su Jeong;Jung, Chan Yung;Cho, Hyun Seok;Lee, Seung Deok;Kim, Kap Sung;Kim, Eun Jung
    • Journal of Acupuncture Research
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    • v.32 no.4
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    • pp.91-102
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    • 2015
  • Objectives : The Oriental medical device industry is expected to continue to experience significant growth. It should increase its global market share rather than focusing on the domestic market. Countries around the world self-regulate their domestic market, so this study aims to aid in the development of a particular overseas market by introducing the U.S.(the largest market) medical device registration and approval process. Methods : For an understanding of the US medical device licensing process, we researched the relevant regulatory organization (FDA), the history, definition and classification of medical devices, the approval and 510(k) submission process related to substantial equivalence, IEC 60601-1 Edition 3, usability tests, and so on. Results : Medical devices in the United States are assigned to one of three regulatory classes: Class I, Class II and Class III, based on the level of control necessary to assure the safety and effectiveness of the device. If a company's device is classified as Class II and if it is not exempt, a 510k will be required for marketing. 1) A 510(k) is a premarket submission made to the FDA to demonstrate that the new device to be marketed is "substantially equivalent" to a legally marketed device (predicate device) 2) The IEC 60601-1 Edition 3 preparation process, which contains information related to usability, is expensive and time-consuming but a critical requirement. Conclusions : Although the U.S. market has high barriers to entry, access to this, large overseas market will encourage development of the Oriental medical device industry and commercial value enhancement is expected.