• Journal of the Architectural Institute of Korea Planning & Design
• /
• v.36 no.3
• /
• pp.49-58
• /
• 2020

Based on Merrill's instructional theory, this study pursued to develop a demonstration-based architectural design class operation model for the 3^rd 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.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.4
• /
• pp.37-42
• /
• 2019

In this paper, we explore the details of three classic data augmentation methods and two generative model based oversampling methods. The three classic data augmentation methods are random sampling (RANDOM), Synthetic Minority Over-sampling Technique (SMOTE), and Adaptive Synthetic Sampling (ADASYN). The two generative model based oversampling methods are Conditional Generative Adversarial Network (CGAN) and Wasserstein Generative Adversarial Network (WGAN). In imbalanced data, the whole instances are divided into majority class and minority class, where majority class occupies most of the instances in the training set and minority class only includes a few instances. Generative models have their own advantages when they are used to generate more plausible samples referring to the distribution of the minority class. We also adopt CGAN to compare the data augmentation performance with other methods. The experimental results show that WGAN-based oversampling technique is more stable than other approaches (RANDOM, SMOTE, ADASYN and CGAN) even with the very limited training datasets. However, when the imbalanced ratio is too small, generative model based approaches cannot achieve satisfying performance than the conventional data augmentation techniques. These results suggest us one of future research directions.

• Journal of Korean Society for Quality Management
• /
• v.48 no.4
• /
• pp.553-566
• /
• 2020

Purpose: The purpose of this study was to design a framework for generating one-class classification algorithm based on Hyper-Rectangle(H-RTGL) in a distributed environment connected by network. Methods: At first, we devised one-class classifier based on H-RTGL which can be performed by distributed computing nodes considering model and data parallelism. Then, we also designed facilitating components for execution of distributed processing. In the end, we validate both effectiveness and efficiency of the classifier obtained from the proposed framework by a numerical experiment using data set obtained from UCI machine learning repository. Results: We designed distributed processing framework capable of one-class classification based on H-RTGL in distributed environment consisting of physically separated computing nodes. It includes components for implementation of model and data parallelism, which enables distributed generation of classifier. From a numerical experiment, we could observe that there was no significant change of classification performance assessed by statistical test and elapsed time was reduced due to application of distributed processing in dataset with considerable size. Conclusion: Based on such result, we can conclude that application of distributed processing for generating classifier can preserve classification performance and it can improve the efficiency of classification algorithms. In addition, we suggested an idea for future research directions of this paper as well as limitation of our work.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2019.07a
• /
• pp.105-107
• /
• 2019

최근 몇 년간 소량의 데이터를 송수신하는 Massive IoT 네트워크에 많은 관심을 가지고 있다. 이러한 환경을 구축하기 위해서 저전력 광역 네트워크(LPWAN) 기술 중 LoRa(Long Range) 네트워크를 사용하고 있다. 대부분의 IoT 응용 서비스는 디바이스가 장시간 안정적으로 작동해야 하므로 에너지 효율성을 중점으로 두고 LoRa 디바이스의 수명을 최대화하기 위한 디바이스의 여러 동작들을 설계하는 에너지 소비 모델링이 중요하다. 따라서 본 논문에서는 LoRa Class B 통신 방식의 에너지 소비 모델을 정의하고 성능을 평가한다.

• Fourth Industrial Review
• /
• v.3 no.2
• /
• pp.19-26
• /
• 2023

Purpose - This study is to suggest a model of field education in the Assistant Nurses curriculum using edutech and to produce competent Assistant Nurses students reflecting the requirements of various medical fields. This model expects to upgrade the quality of the field education and to provide an Assistant Nurses school with standardized field education tools using edutech. Research design, data, and methodology - Throughout the review of the related thesis, most of them were studied on Assistant Nurses' job satisfaction, conflicts with other jobs in hospitals, and Assistant Nurses' job area in nursing hospitals. To study the current field education for Assistant Nurses students in hospitals, it used interviewing the heads of the hospital nursing department and reflecting on their interview results to develop the model of field education. Result - The field education model with edutech is processed with flipped class. Each area in flipped class is designed by applications and webs which is friendly to both teachers and students. Conclusion - This study presents a simple and easy process of field education using edutech. In the next study, it needs to find the precious results of comparison between students educated by the new model in field education in the Assistant Nurses' curriculum or not.

• The Transactions of the Korea Information Processing Society
• /
• v.3 no.2
• /
• pp.231-241
• /
• 1996

The reliability in software has expand in quality and quantity, also its importance and role are increased. But, a study of software reliability is lack of development. this paper software reliability growth models(SRGM) described by NonHome-geneous Poisson(NHPP)processes. Using actual software error data observed by software testing the SRGM's are composition of error-class, and error-class by three class. this paper made the reliability-model of software using three error- class. The purpose of this study to increase software productivity and to improve software quality. So to achive these goals we focused a study of software reliability model using the error-class.

• Journal of the Korean Society of Earth Science Education
• /
• v.9 no.2
• /
• pp.139-151
• /
• 2016

The purposes of this study were to develop the student activity-centered science textbook model in high school and explore the field application possibility. For development of student activity-centered science textbook model, we conducted a literature survey about foreign science textbook and science curriculum and we developed the textbook development framework based on 7E learning model. Based on framework, we developed student activity-centered science textbook model about achievement standards 'systems and interaction - earth systems'. A development model is the total amount of five class periods and the various objectives were reflected in pursuit systems thinking & STEAM. 1~4 class periods, learning content composed of student activity-centered exploration activities that organically associated to make final products. Fifth class period was presented to explore job and career. A development model was applied to high school class for one time study. Applying the result of field study, students were responded positively in interested about science class, textbook contents, made final product. Through this study, if science textbook was made on the basis of the revised student activity-centered science textbook model, students were lead to positive change in science class.

• Journal of the Korea Convergence Society
• /
• v.8 no.5
• /
• pp.255-263
• /
• 2017

The purpose of this study was to investigate the meditation effects of self-esteem on the relationship model between Korean new elderly class's recovery resilience and productive aging. This study sampled preliminary elderly people in other provinces nationwide. Data from a total of effective 484 subjects was analyzed. The collected data was processed using the IBM SPSS 20.0 and AMOS 5.0, and underwent descriptive statistical analysis, confirmatory factor analysis, and structure model verification. The results are as follows; First, recovery resilience of Korean new elderly class's affect their self-esteem. Second, recovery resilience of Korean new elderly class's affect their productive aging. Third, self-esteem of Korean new elderly class's affect their productive aging. Lastly thel relationship among recovery resilience, self-esteem and productive aging of Korean new elderly class's shows partial mediation, and there is the mediation effect.

• Human Ecology Research
• /
• v.52 no.6
• /
• pp.669-682
• /
• 2014

The purpose of this study is to present a practical class design model that applies the problem-based learning (PBL) method to the subject of home economics. To begin with, a specific class model example was developed by conducting thorough document research and expert consulting. Two modules, named "Click! Global Leisure Environment" and "Happy Leisure Product Launching" were presented as the PBL questions. The case study focused upon in this research is an elective course called "Leisure Culture and Life Management". The 21 students enrolled in this course were considered in this study. Two teaching methods, namely a face-to-face teaching method and a web-based system "Snowboard" teaching method, were used to run the class. The research results are as follows: first, theoretical research and program development and demonstration were practiced with five different age groups: childhood, adolescence, university student, middle age, and senescence. Then, selfevaluation, peer evaluation, and group evaluation were conducted to motivate the students. Finally, a class evaluation was conducted by questioning the lecturer, who ranked well, scoring higher than or equal to 4.0 points out of 5.0 on all the questions. Through the PBL method, students showed an improved study attitude with more proactive participation in the class, they strengthened their communication skills and created a synergy with their team members. This study has significant meaning because it is the first research to apply the PBL method to home economics. Therefore, we expect other curricula to apply PBL and fully utilize this teaching method as well in the future.

• Communications for Statistical Applications and Methods
• /
• v.14 no.2
• /
• pp.377-388
• /
• 2007

As one of multi-class classification methods, ECOC (Error Correcting Output Coding) method is known to have low classification error rate. This paper aims at suggesting effective multi-class classification method (1) by comparing various encoding methods and decoding methods in ECOC method and (2) by comparing ECOC method and direct classification method. Both SVM (Support Vector Machine) and logistic regression model were used as binary classifiers in comparison.