• 제목/요약/키워드: Class model

검색결과 3,326건 처리시간 0.029초

네일미용 교육을 위한 플립러닝(flipped learning) 수업모형 개발 (Development of flipped learning class model for nail beauty education)

  • 설현진
    • 복식문화연구
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    • 제30권3호
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    • pp.444-454
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    • 2022
  • Flipped learning research has been applied in various educational fields since 2015 and the educational effects have been discussed in previous literature. In the beauty field, flipped learning research is insufficient; in particular, it is difficult to find research on flipped learning specifically concerning nail beauty education. The purpose of this study is to develop a model for applying flipped learning to nail beauty education which should involve practical training based on theory. Such an approach is considered effective. Data were collected and analyzed focusing on previous studies with flipped learning applied as a research method. The subject of the research is "Nail Color Design 1", a common nail major elective subject at J college. The "Nail Color Design 1" course is a practice-oriented course in the form of theory and practical classes. Consequently, the flipped learning education model for nail beauty was designed by reflecting learners' needs through the ADDIE instructional design model. It was applied based on the education structure of the Pre-class, In-class, and Post-class of the PARTNER instructional learning model. This study deviates from the traditional practical education model, and has educational significance as a practical model in which flipped learning is applied to nail beauty subjects and self-reflection is derived through project practice.

객체 지향 프로그램에서 클래스 재사용성 측정 모델링 (Modeling for Measurement of Class Reusability in Object-Oriented Programs)

  • 윤희환;구연설
    • 한국정보처리학회논문지
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    • 제6권3호
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    • pp.580-588
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    • 1999
  • The reuse of software components from existing software system enhances productivity and reliability, decreases the cost of production in software development. The extraction of software components with high reusability from existing software system is very important in software reuse. The reuse of a class is classified into white-box reuse to reuse with modification and black-box reuse to reuse without modification. A class has the property of procedural language and object-oriented language. Therefore, it must measure reusability in consideration of two properties. In black-box reuse, independence of class is important quality. It can quantify through information hiding, coupling between objects, cohesion, etc. In white-box reuse, modification is the best important quality. It can quality through class complexity, coupling, cohesion, documentation, etc. We propose a new model for measurement of class reusability and the measure criteria in object-oriented program. A class that is measured by proposed model can judge whether the reuse with modification has the advantage or the reuse without modification has the advantage.

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잠재그룹 포아송 모형을 이용한 전립선암 환자의 베이지안 그룹화 (Bayesian Clustering of Prostate Cancer Patients by Using a Latent Class Poisson Model)

  • 오만숙
    • 응용통계연구
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    • 제18권1호
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    • pp.1-13
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    • 2005
  • 최근 많은 연구자와 실무자들이 모집단에 내재해 있는 여러 다른 그룹(class, segment)간의 이질성을 밝혀내고 객체들을 그룹별로 세분화하는 방법 중 하나로 잠재그룹 모델(Latent class model)을 고려하고 있다. 이 논문에서는 2000년도에 국립 암 센터에 접수된 한국 내 연령별 전립선암 사망자수 자료를 기반으로, 잠재그룹 포아송 모형을 이용하여 전립선암 환자의 연령에 따른 그룹화를 시도한다. 최우추정법 등 고전적 추론방법의 한계를 극복하기 위하여 Markov Chain Monte Carlo (MCMC) 방법을 도구로 한 베이지안 추정 방법을 제안한다. 제안된 베이지안 방법의 장점은 용이한 모수추정과 추정오차의 제공, 그리고 각 객체의 소속그룹의 판정과 이에 따르는 오차, 즉, 객체의 각 군집에 속할 확률, 도 구할 수 있다는 것이다. 또한 주어진 자료들에 대해 가장 적합한 그룹의 수를 결정하는 방법을 제시하여 그룹의 수나 세분화의 근거를 사전에 제공하지 않아도 자료가 주는 정보로부터 이들을 자동으로 결정하는 방법을 제시한다.

건축설계 학습부진자들의 건축적 사고 개선을 위한 데모 기반 설계수업 운영모형 개발 및 활용 사례연구 (A Study on Development and Use of a Demonstration-Based Architectural Design Class Operation Model for Improving Architectural Thinking Abilities of Under-Motivated Learners)

  • 이도영;정현미
    • 대한건축학회논문집:계획계
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    • 제36권3호
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    • pp.49-58
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    • 2020
  • Based on Merrill's instructional theory, this study pursued to develop a demonstration-based architectural design class operation model for the 3rd year undergraduate students taking a Spring semester design studio class. The model was designed and used particularly to improve architectural thinking abilities of under-motivated learners. Learning effects of the model were examined based on the preliminary data obtained for 3 consecutive years, 2017 through 2019. A total of 52 students were participated in the class and observed by the instructor. Once developed, the model has been continually updated and improved based on results of each class operation. Five types of demo. were used in the model. First, direct contacts of the instructor with under-motivated learners were turned out to be the most preferred demo(demo. 4), while watching and listening of the demo(demo.3) between the instructor and motivated learners taking place in class was ranked at the second place. Belief of under-motivated learners on the instructor as a professional should be highly valued for improving their architectural thinking abilities. Second, motivated peers' direct help for under-motivated ones was placed in the third rank. Social attitudes of under-motivated learners towards accepting motivated ones' helps were determined the particular demo's appropriateness. Third, a set of guidelines for operating the model in undergraduate design studio classes were developed and suggested.

Effective UML models by using database system

  • Halim, Faisal;Muttaqin, Rizal
    • 한국인공지능학회지
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    • 제1권1호
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    • pp.1-3
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    • 2013
  • This study suggested ways to control UML diagram and to make design of database and to retrieve diagram information by giving questions. The study classified elements of the diagram. For instance, class diagram was made of classes, and class was done of class name and attribute operator. The elements were transformed to be database table having basic key and foreign key information. The ways suggested had advantages of users' sharing of model information and reuse of the model. This study investigated cost saving, time saving and UML model construction by database. We had designed integrated and relation database that could save and manage UML diagram, and suggested retrieval. For instance, we classified class diagram into elements to make tables and kept relation of each element by using not only basic key of relation database but also foreign key information. We made database of modeling depending upon methods to give users convenience.

DYNAMIC BEHAVIOUR FOR A NONAUTONOMOUS SMOKING DYNAMICAL MODEL WITH DISTRIBUTED TIME DELAY

  • Samanta, G.P.
    • Journal of applied mathematics & informatics
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    • 제29권3_4호
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    • pp.721-741
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    • 2011
  • In this paper we have considered a dynamical mathematical model of the sub-populations of potential smokers (non-smokers), smokers, smokers who temporarily quit smoking, smokers who permanently quit smoking and a class of smoking associated illness by introducing time dependent parameters and distributed time delay to acquire smoking habit. Here, we have established some sufficient conditions on the permanence and extinction of the smoking class in the community by using inequality analytical technique. We have introduced some new threshold values $R_0$ and $R^*$ and further obtained that the smoking class in the community will be permanent when $R_0$ > 1 and the smoking class in the community will be going to extinct when $R^*$ < 1. By Lyapunov functional method, we have also obtained some sufficient conditions for global asymptotic stability of this model. Computer simulations are carried out to explain the analytical findings. The aim of the analysis of this model is to identify the parameters of interest for further study, with a view to informing and assisting policy-maker in targeting prevention and treatment resources for maximum effectiveness.

모델 축소를 위한 그룹 모델 클러스터링 방법에 대한 연구 (Group Model Clustering Method for Model Downsizing)

  • 박미나;하진영
    • 산업기술연구
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    • 제28권A호
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    • pp.185-189
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    • 2008
  • Practical pattern recognition systems should overcome very large class problem. Sometimes it is almost impossible to build every model for every class due to memory and time constraints. For this case, grouping similar models will be helpful. In this paper, we propose GMC(Group Model Clustering) to build a large class Chinese character recognition system. We built hidden Markov models for 10% of total classes, then classify the rest of classes into already trained group classes. Finally group models are trained using group model clustered data. Recognition is performed using only group models, in order to achieve reduced model size and improved recognition speed.

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연구데이터 관리 및 검색을 위한 스키마 클래스 상속 모델 (Schema Class Inheritance Model for Research Data Management and Search)

  • 김선태
    • 정보관리학회지
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    • 제31권2호
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    • pp.41-56
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    • 2014
  • 최근 연구데이터가 국가자산이라는 인식의 확산으로 원시데이터 관리 및 재사용의 필요성이 이슈이다. 본 연구에서는 데이터의 체계적인 관리를 위해, 스키마 클래스를 상속하는 방식의 메타데이터 설계 모델과 상속을 통해 생성된 스키마 객체들을 대상으로 메타데이터 통합 검색 모델을 제안하였다. 스키마 클래스를 상속한 스키마 객체가 데이터 컬렉션에 1대1의 관계를 갖도록 데이터 아키텍처를 설계하였으며, 제안된 모델의 검증을 위해서 가상 스키마 클래스 및 객체가 시스템적으로 구현 가능함을 증명하였다. 본 연구에서 제안하는 스키마 클래스 상속 및 통합검색 모델은 일반적으로 사용되는 '하향식 계층 모델'의 단점을 극복하는 모델로서, 정부 기관에서 생산되는 데이터를 독립적으로 관리하는데 활용될 수 있다고 사료된다.

영어수업에서의 캡스톤디자인 수업 모델 (A Teaching Model for Capstone Design Class in English Education)

  • 김지은
    • 한국콘텐츠학회논문지
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    • 제19권12호
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    • pp.1-8
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    • 2019
  • 본 연구는 지금까지 연구가 많이 이루어지지 않았던 사범계열이면서 인문사회분야인 영어교육에서의 (1)캡스톤디자인 수업 설계와 실제 운영의 예시를 제시하고 (2)캡스톤디자인 수업의 성과와 만족도를 포함한 학생들의 인식을 알아보는 것을 목적으로 하였다. 대상은 영어교육과에 재학 중인 4학년 학생들이었고 영어교육과 전공수업인 '영미문화' 교과목의 과목명을 '영미문화교육 캡스톤디자인'으로 변경 후 수업 모델을 개발, 적용, 성과를 확인하였다. 본 연구에서는 수업의 설계와 수행 절차, 도출된 주제, 수행 결과물의 예시 등을 제시하였고 영미문화 이해도 평가, 과제 수행 및 최종 결과물 평가, 학생들의 서술형 만족도 조사와 강의평가, 교사의 자기 성찰 평가도 수행하였다. 과제수행의 평가 결과 2017년과 2018년의 모든 팀이 비교적 높은 성취도를 보였다는 것을 알 수 있었고 영미문화 이해도의 경우, 캡스톤디자인을 적용하지 않고 강의와 학생들의 발표로 이루어진 수업과 캡스톤디자인을 적용한 수업에서 유의미한 차이가 없었다. 강의평가 점수의 경우는 캡스톤디자인을 영미문화 수업에 적용한 수업의 강의평가 점수가 높았다.

혼합 2단계 합성 신경망을 이용한 단감 분류 (Sweet Persimmons Classification based on a Mixed Two-Step Synthetic Neural Network)

  • 노승희;박동규
    • 한국멀티미디어학회논문지
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    • 제24권10호
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    • pp.1358-1368
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    • 2021
  • A research on agricultural automation is a main issues to overcome the shortage of labor in Korea. A sweet persimmon farmers need much time and labors for classifying profitable sweet persimmon and ill profitable products. In this paper, we propose a mixed two-step synthetic neural network model for efficiently classifying sweet persimmon images. In this model, we suggested a surface direction classification model and a quality screening model which constructed from image data sets. Also we studied Class Activation Mapping(CAM) for visualization to easily inspect the quality of the classified products. The proposed mixed two-step model showed high performance compared to the simple binary classification model and the multi-class classification model, and it was possible to easily identify the weak parts of the classification in a dataset.