• Title/Summary/Keyword: Class Model

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

  • Seol, Hyun Jin
    • The Research Journal of the Costume Culture
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    • v.30 no.3
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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.

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

  • Yun, Hui-Hwan;Gu, Yeon-Seol
    • The Transactions of the Korea Information Processing Society
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    • v.6 no.3
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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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Bayesian Clustering of Prostate Cancer Patients by Using a Latent Class Poisson Model (잠재그룹 포아송 모형을 이용한 전립선암 환자의 베이지안 그룹화)

  • Oh Man-Suk
    • The Korean Journal of Applied Statistics
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    • v.18 no.1
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    • pp.1-13
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    • 2005
  • Latent Class model has been considered recently by many researchers and practitioners as a tool for identifying heterogeneous segments or groups in a population, and grouping objects into the segments. In this paper we consider data on prostate cancer patients from Korean National Cancer Institute and propose a method for grouping prostate cancer patients by using latent class Poisson model. A Bayesian approach equipped with a Markov chain Monte Carlo method is used to overcome the limit of classical likelihood approaches. Advantages of the proposed Bayesian method are easy estimation of parameters with their standard errors, segmentation of objects into groups, and provision of uncertainty measures for the segmentation. In addition, we provide a method to determine an appropriate number of segments for the given data so that the method automatically chooses the number of segments and partitions objects into heterogeneous segments.

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

  • Lee, Do-Young;Chung, Hyun-Mi
    • Journal of the Architectural Institute of Korea Planning & Design
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    • v.36 no.3
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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
    • Korean Journal of Artificial Intelligence
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    • v.1 no.1
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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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    • v.29 no.3_4
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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.

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

  • Park, Mi-Na;Ha, Jin-Young
    • Journal of Industrial Technology
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    • v.28 no.A
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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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Schema Class Inheritance Model for Research Data Management and Search (연구데이터 관리 및 검색을 위한 스키마 클래스 상속 모델)

  • Kim, Suntae
    • Journal of the Korean Society for information Management
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    • v.31 no.2
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    • pp.41-56
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    • 2014
  • The necessity of the raw data management and reuse is issued by diffusion of the recognition that research data is a national asset. In this paper, a metadata design model by schema class inheritance and a metadata integrated search model by schema objects are suggested for a structural management of the data. A data architecture in which an schema object has an 1 : 1 relation to the data collection was designed. A suggested model was testified by creation of a virtual schema class and objects which inherit the schema class. It showed the possibility of implement systematically. A suggested model can be used to manage the data which are produced by government agencies because schema inheritance and integrated search model present way to overcome the weak points of the 'Top-dow Hierarchy model' which is being used to design the metadata schema.

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

  • Kim, Ji-Eun
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.1-8
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    • 2019
  • The purpose of this study is (1) to present a model for Capstone design class in English education, and (2) to recognize students' performance and perceptions about Capstone design class in English education. The participants were senior students majoring in English education. The Capstone design class model was developed, applied, and evaluated after changing 'English-American Culture' subject to 'Capstone Design for English-American Culture Education.' In this study, the class design, performance procedures, derived topics, and examples of performance outcomes were presented. The classes were also evaluated through an understanding evaluation of English-American culture, task performance and final outcome evaluation, a descriptive satisfaction assessment of students, a lecture evaluation, and a teacher's self-reflection assessment. As the result, the average score of a class that applies Capstone design was higher than that of a class that does not apply the Capstone design. There were many positive opinions regarding the Capstone design class. In addition, the teacher's self-reflection indicated that students should be exposed to such design from the beginning.

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

  • Roh, SeungHee;Park, DongGyu
    • Journal of Korea Multimedia Society
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    • v.24 no.10
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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.