• Title/Summary/Keyword: Course classification

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An Analysis of the Application Framework of the Business Reference Model to Records Classification Schemes in Korean Central Government Agencies (기록분류를 위한 정부기능분류체계의 적용 구조 및 운용 분석 - 중앙행정기관을 중심으로 -)

  • Seol, Moon-Won
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.24 no.4
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    • pp.23-51
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    • 2013
  • The purpose of the study is to examine the potentialities and limits of Business Reference Model (BRM) as records classification schemes in Korean central state institutions. The analysis is based on the data collected through focus group interviews of three times, in which six records professionals from central government agencies participate. This paper begins with inquiring the framework of records classification based BRM, required by Public Records Management Act. It explores the types of benefit of BRM application to government records classification. Based on the collected data from the interviews, it investigates how records are aggregated, and how transaction level (Danwi-Gwaje) of BRM is applied in the course of records aggregation.

A Recommendation System using Dynamic Profiles and Relative Quantification

  • Lee, Se-Il;Lee, Sang-Yong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.7 no.3
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    • pp.165-170
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    • 2007
  • Recommendation systems provide users with proper services using context information being input from many sensors occasionally under ubiquitous computing environment. But in case there isn't sufficient context information for service recommendation in spite of much context information, there can be problems of resulting in inexact result. In addition, in the quantification step to use context information, there are problems of classifying context information inexactly because of using an absolute classification course. In this paper, we solved the problem of lack of necessary context information for service recommendation by using dynamic profile information. We also improved the problem of absolute classification by using a relative classification of context information in quantification step. As the result of experiments, expectation preference degree was improved by 7.5% as compared with collaborative filtering methods using an absolute quantification method where context information of P2P mobile agent is used.

A Comparative Study on the Bacon의s Knowledge Classification and SAGOJEONSEO Classification (지식분류에 대한 동서양의 비교 - 베이컨의 분류와 사고전서를 중심으로 -)

  • 이명규
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.11 no.2
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    • pp.25-38
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    • 2000
  • A knowledge classification is based on different types of knowledge system. which depends on classified objects, purposes, times, regions, and scholars. The classified contents. however, do not show any significant difference in any times or regions, though there are differences in representation methods and in arrangement priority of representing knowledge, Knowledge or library classification reflects the structure of a contemporary society and is decided by social philosophy of the time. The basic structure of knowledge system in the past was formed in the ancient time, and since then, it has been continuously developed. In the course of this process, the development of studies has generated other branches of studies, playing a significant role in changing the whole system of studies. This kind of development will continue to occur and many new branches of information will appear. resulting in taking each category of knowledge classification.

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A Study on Reinforcement and Development of Course Programs in Department of Food Science and Nutrition Related Studies 2nd Report - A Study on Course Programs Analysis at Universities and Junior Colleges - (영양사 배출 관련학과의 전공과목 강화 및 개발에 관한 연구 제2보 -교과과정 분석에 대한 연구-)

  • 박명희;최봉순
    • Journal of the East Asian Society of Dietary Life
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    • v.6 no.1
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    • pp.17-31
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    • 1996
  • In order to reinforce and develop major courses in dietitian producing department, this study analysed and compared the courses of Food Science and Nutrition-related studies at 4-year and 2-year college. Results of the study are as follows: 1. There is no difference In the number of major courses provided by universities(33.2 courses) and junior colleges(32.6 courses), and universities(103) showed higher than junior colleges(79.9) with respect to total credit of courses. 2. Food Chemistry had highest credit(universities=1,532, junior colleges=1,037), while Nutrition Education had lowest credit (universities= 143, junior colleges=99) in the distribution of courses by way of major or classification. 3. The number of courses provided by universities and junior colleges was similar by way of minor classification. Especially, courses related to Food Chemistry showed highest frequency (universities=15, junior college=11) and percentage of credit (universities=32.6 junior college=34.3%), while courses related to Nutrition Education were one subject and percentage of credit was 3.0%. 4. Compared to percentage of the number of questions occupied in national qualifying examination for dietitians, the percentage of the number of credit provided by courses programs is higher in Biochemistry(universites 10.6%, junior colleges 7.5%) and Food Chemistry and Principles of Cooking(universites 27.0%, junior colleges 25.2%), but is lower in Diet Therapy(universites 7.6%, junior colleges 6.7%) and Nutrition Education(universites 4.9%, junior colleges 4.8%)

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A Study on the Improvement of the Basic Safety Training Course and Regulation for Fishing Vessel Seafarers (어선원 기초안전교육 교육과정 및 제도 개선에 관한 연구)

  • CHO, Jang-Won;HAN, Se-Hyun;KIM, Ki-Sun
    • Journal of Fisheries and Marine Sciences Education
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    • v.29 no.3
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    • pp.857-868
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    • 2017
  • The basic safety training for fisheries is being conducted to cope with an emergency situation and prevent the maritime accidents. A new joined person must be educated the safety training and a refresher must be completed the refresher training course every 5 year in according to the STCW-F and seafarers' Act. In order to achieve the objectives of marine safety training, it is necessary to distinguish the trainees by ship's type and the courses should be implemented in consideration of safety equipment of fishing vessels. However, since the classification criteria of seafarers' Act are unclear, the officer of fishing vessels which is over G/T 25 tons has been trained through the same course and curriculum for merchant ship's seafarers. About 80 % of domestically registered fishing vessels are small size ships(less than 100 tons) and there is not many safety equipment required by law. In case of marine accidents such as collision, the small vessel losses its buoyancy and stability caused by damage of hull. despite fisheries fall into the sea during fishing work in bad weather on the deck, there was no safety equipment by law. So fisheries must be trained by a safety training course suitable for fishing vessel. The purpose of this study is to develope the suitable course for fisheries by analysis current curriculum and rules. so suggested the basic safety training course for fisheries and institutional improvement.

Analysis of Influencing Factors on Hourly Course Fee in Vocational Competency Development Course (직업능력개발훈련과정의 시간당 수강료 영향 요인 분석)

  • Choi, Youngsup
    • Journal of Practical Engineering Education
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    • v.11 no.2
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    • pp.239-249
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    • 2019
  • Currently financial support for vocational skills development training is provided based on the NCS standard unit price set according to the NCS occupational classification. Such a standard unit price system has the advantage of reducing administrative burdens required in managing the training levy-grant system. In this paper, it is pointed out that current unit price system may distort the social integration function of vocational training policy as it is based on the tuition fees of training course. As a basis for finding a more appropriate financial support system, we analyzed what factors are influencing the training course fees set by training institutions. As a result, it was confirmed that the monopolistic nature of the training courses or the high level of willingness of pay of training participants influenced the training course fees. Therefore, the necessity of removing the influence of such factors from unit price system was suggested so as that the training policy contributes to the social integration. Furthermore, it is required to establish new support criteria centered on the government's policy judgment if the training costs of all training courses cannot be exactly estimated.

Time Series Representation Combining PIPs Detection and Persist Discretization Techniques for Time Series Classification (시계열 분류를 위한 PIPs 탐지와 Persist 이산화 기법들을 결합한 시계열 표현)

  • Park, Sang-Ho;Lee, Ju-Hong
    • The Journal of the Korea Contents Association
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    • v.10 no.9
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    • pp.97-106
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    • 2010
  • Various time series representation methods have been suggested in order to process time series data efficiently and effectively. SAX is the representative time series representation method combining segmentation and discretization techniques, which has been successfully applied to the time series classification task. But SAX requires a large number of segments in order to represent the meaningful dynamic patterns of time series accurately, since it loss the dynamic property of time series in the course of smoothing the movement of time series. Therefore, this paper suggests a new time series representation method that combines PIPs detection and Persist discretization techniques. The suggested method represents the dynamic movement of high-diemensional time series in a lower dimensional space by detecting PIPs indicating the important inflection points of time series. And it determines the optimal discretizaton ranges by applying self-transition and marginal probabilities distributions to KL divergence measure. It minimizes the information loss in process of the dimensionality reduction. The suggested method enhances the performance of time series classification task by minimizing the information loss in the course of dimensionality reduction.

Review of Acupuncture and Related Treatments and Classification of Hyperpigmentation Disorders in Traditional Medicine (과색소침착질환에 대한 침구의학적 처치 및 분류체계에 대한 고찰)

  • Kang, Ki Wan;Kim, Eui Byeol;Kim, Min Ji;Jang, In Soo
    • Journal of Acupuncture Research
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    • v.33 no.1
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    • pp.69-77
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    • 2016
  • Objectives : The objective of this study is to review external approaches using acupuncture and related treatments of hyperpigmentation disorders and their classification in traditional medicine. Methods and Results : Hyperpigmentation was recorded for the first time in Treatise on the Pathogenesis and Manifestations of All Diseases published in 610 A.D. This suggests that the symptom has already been recognized as an independent disease in East Asia for more than 1,400 years. Over the course of several centuries, there has been a significant evolution in the traditional treatments for hyperpigmentation. There are many different types of therapy, including body acupuncture, intradermal acupuncture, ear acupuncture, ear acupressure, blood-letting treatment, pharmacopuncture, plum-blossom needle therapy, burning acupuncture therapy, moxibustion, and guasha. In addition, the traditional classification of hyperpigmentation has been changing shape. However, no attempts have been made to establish the academic linkage between the modern classification of hyperpigmentation disorders and the traditional one, on account of different concepts and names of the ailment. This study was designed in an attempt to identify the linkage of the categorization of the Korean Standard Classification of Disease (KCD) and the traditional classification. Conclusions : Through this literature review, we found that there has been a significant evolution in the treatment of hyperpigmentation disorders in East Asia. Traditional medical treatment for skin disease, including hyperpigmentation, is expected to be further developed with the advancement of science and technology.

Course recommendation system using deep learning (딥러닝을 이용한 강좌 추천시스템)

  • Min-Ah Lim;Seung-Yeon Hwang;Dong-Jin Shin;Jae-Kon Oh;Jeong-Joon Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.3
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    • pp.193-198
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    • 2023
  • We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.