• Journal of KIISE:Software and Applications
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• v.29 no.3
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• pp.156-166
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• 2002

Decision tree induction is a kind of useful machine learning approach for extracting classification rules from a set of feature-based examples. According to the partitioning style of the feature space, decision trees are categorized into univariate decision trees and multivariate decision trees. Due to observation error, uncertainty, subjective judgment, and so on, real-world data are prone to contain some errors in their feature values. For the purpose of making decision trees robust against such errors, there have been various trials to incorporate fuzzy techniques into decision tree construction. Several researches hove been done on incorporating fuzzy techniques into univariate decision trees. However, for multivariate decision trees, few research has been done in the line of such study. This paper proposes a fuzzy decision tree induction method that builds fuzzy multivariate decision trees named fuzzy oblique decision trees, To show the effectiveness of the proposed method, it also presents some experimental results.

• Fashion & Textile Research Journal
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• v.15 no.2
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• pp.202-209
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• 2013

This study suggests a new women's upper clothing based on traditional Korean costumes that utilize the Jatmulim. The Jatmulim is an example of the skill found in conditional Korean costumes and is of a small triangular shape. Jatmulim was developed in size, shape, and arrangement through the method of making and using children's Durumagi, the dancer's or shaman's Mongduri, and modern works. A total of five pieces of different women's clothing were suggested by applying the developed Jatmulim. In the first piece, the clothing is a woman's sleeveless blouse based on the construction of the Yoseon-Cheolik from the Joseon period and made with a larger sized Jatmulim in the back of the neckline and shoulders. In the second piece, the clothing is designed for a woman's jacket based on the Bansuui of the Joseon period with rectangular Jatmulim in the front neckline and at the end of the sleeves. In the third piece, the clothing is designed for a woman's sleeveless blouse based on the Danryeong with rectangular Jatmulim in the neckline. In the fourth piece, the construction of the Jeogori is applied to the clothing for making a woman's jacket that has a bigger sized Jatmulim in the front part as a decoration. In the fifth work, the clothing is designed for a sleeveless blouse based on the Dapho with a different sized arrangement of the Jatmulim in the neckline.

• Journal of Conservation Science
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• v.27 no.3
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• pp.251-260
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• 2011

This study focus on the suggestion of standard legend, the process system on making method of deterioration map, the development of crack index (CI), and the evaluation techniques of surface and 3D deterioration rate for stone cultural heritage. The standard legends of deterioration forms were made using a common graphic program after crack, blistering, scaling, break-out, granular disintegration, and perforation were subdivided. The deterioration map improved accuracy and reliability on deterioration range using 3D digital restoration and high resolution photograph mapping technique. Also, quantitative deterioration evaluation of stone cultural heritage was carried out developing the crack index, and the 3D deterioration rate of a break-out part was calculated by virtual restoration modeling. As a quantitative deterioration evaluation of Magoksa Temple stone pagoda based on the results described above, the north face showed high deterioration rate of bursting crack (1.70), hair crack (1.34), scaling (20.2%) and break out (13.0%), and the 3D deterioration rate of first roof stone was 6.7%.

• Journal of Conservation Science
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• v.29 no.1
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• pp.35-45
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• 2013

The Clay Statues of Donggwanwangmyo Shrine (Treasure No. 142) are highly damaged physical weathering which are crack, exfoliation. Pigment of surface are discolored by chemical weathering like dust. The result of ultrasonic velocity measurement, low velocity zone was measured the lowest part of Woojanggun Statue. Deficiency condition of pigment layer was evaluated quantitatively through infrared Thermography. As a result, exfoliation part was detected at high temperature. Making techniques of the Clay statues were identified by gamma rays, infrared TV, SEM. All Clay Statues were founded on wood base and joints of wood were fixed using thin iron wires. After wood base was twisted a straw rope, it was made by clay. Clay was blended with rice straw to prevention of crack and exfoliation. The upper side of clay layer was coated with Hanji(Korean handmade paper) and cotton in order to isolate the pigment layer.

• Journal of the Korea Computer Graphics Society
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• v.22 no.5
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• pp.27-36
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• 2016

As big data become more complex than ever, there has been a need for various techniques and approaches to better analyze and explore such big data. A research discipline of visual analytics has been proposed to help users' visual data analysis and decision-making. Since 2006 when the first symposium of visual analytics was held, the visual analytics research has become popular as the advanced technology in computer graphics, data mining, and human-computer interaction has been incorporated in visual analytics. In this work we introduce the visual analytics research by reviewing and surveying the papers published in IEEE VAST 2015 in terms of data and visualization techniques to help domestics researchers' understanding on visual analytics.

• Journal of Broadcast Engineering
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• v.24 no.1
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• pp.3-24
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• 2019

Techniques related to 360 VR service have been developed to improve the quality of the stitched image and video, where illumination compensation scheme is one of the important tools. Among the conventional illumination compensation algorithms, Gain-based compensation and Block Gain-based compensation algorithms have shown the outstanding performances in the process of making panorama picture. However, those are ineffective in the 360 VR service, because the disparity between illuminations of the multiple pictures in 360 VR is much more than that in making the panorama picture. In addition, the number of the pictures to be stitched in 360 VR system is more than that in the conventional panorama image system. Thus, we propose a preprocessing tool to enhance the illumination compensation algorithm so that the method reduces the degradation in the stitched picture of 360 VR systems. The proposed algorithm consists of 'color compensation' and 'illumination compensation'. The simulation results show that the proposed technique improve the conventional techniques without additional complexity.

• Journal of Fashion Business
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• v.25 no.1
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• pp.80-95
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• 2021

In the modern fashion industry, the application of different materials along with an emotional design is emerging as an important factor stimulating consumer sentiment. This has led to the diversity of materials and continued active research on materials. Traditional Korean paper is expressed in various ways in the field of visual arts based on Korean sentiment and unique formative characteristics. Hanji costumes have been produced in various ways over the past 20 years utilizing Hanji's physical characteristics, showing unique surface texture and various techniques that differentiate them from existing fabrics, making it symbolic in expanding the area of fashion materials. In this work, various techniques were developed by utilizing the nonwoven characteristics and excellent variability of Hanji while considering visual images, focusing on the delicate decorations and materialistic representations of wedding dresses. In addition, minimal wedding dresses with unique textures were produced to realize fantasy ideas and show surface aesthetics, confirming as a fashion material different from that of existing wedding dresses. The direction of high value-added creation for the industrialization and globalization of Hanji wedding dresses was presented, and the usefulness and scalability of Hanji materials for practical and industrialization were identified in materials that expressed visual art. To in the fashion industry, which is changing in both the wedding industry and the global market, the development of materials with high sensitivity images and original and solid identity should continue.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.135-146
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• 2023

An effective educational program warrants the inclusion of an innovative construction which enhances the higher education efficacy in such a way that accelerates the achievement of desired results and reduces the risk of failures. Educational Decision Support System (EDSS) has currently been a hot topic in educational systems, facilitating the pupil result monitoring and evaluation to be performed during their development. Insufficient information systems encounter trouble and hurdles in making the sufficient advantage from EDSS owing to the deficit of accuracy, incorrect analysis study of the characteristic, and inadequate database. DMTs (Data Mining Techniques) provide helpful tools in finding the models or forms of data and are extremely useful in the decision-making process. Several researchers have participated in the research involving distributed data mining with multi-agent technology. The rapid growth of network technology and IT use has led to the widespread use of distributed databases. This article explains the available data mining technology and the distributed data mining system framework. Distributed Data Mining approach is utilized for this work so that a classifier capable of predicting the success of students in the economic domain can be constructed. This research also discusses the Intelligent Knowledge Base Distributed Data Mining framework to assess the performance of the students through a mid-term exam and final-term exam employing Multi-agent system-based educational mining techniques. Using single and ensemble-based classifiers, this study intends to investigate the factors that influence student performance in higher education and construct a classification model that can predict academic achievement. We also discussed the importance of multi-agent systems and comparative machine learning approaches in EDSS development.

• Journal of the Institute of Convergence Signal Processing
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• v.24 no.4
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• pp.186-191
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• 2023

Data processing techniques play a critical role in decision-making, including handling missing and outlier data, prediction, and recommendation models. This requires a clear explanation of the validity, reliability, and accuracy of all processes and results. In addition, it is necessary to solve data problems through explainable models using decision trees, inference, etc., and proceed with model lightweight by considering various types of learning. The multi-layer mining classification method that applies the sixth principle is a method that discovers multidimensional relationships between variables and attributes that occur frequently in transactions after data preprocessing. This explains how to discover significant relationships using mining on transactions and model the data through regression analysis. It develops scalable models and logistic regression models and proposes mining techniques to generate class labels through data cleansing, relevance analysis, data transformation, and data augmentation to make explanatory decisions.

• Journal of Korean Home Economics Education Association
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• v.1 no.1
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• pp.1-17
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• 1989

Present, we cannot expect the maximum studying effect in a home economics and the drill unit of secondary schools because of several problems. Such problems can be enumerated as follows. 1. The explaination of a making process in texts would be difficult for the students who have a poor understanding to grasp. 2. The much effort would be made due to teacher’s repeated exhibition, by which the progress of a text might be unreasonable. 3. The teachers unaccustomed to the drill might treat it carelessly and become to avoid it. 4. The skill to grasp a general work flow might be lack. Baseing on such problems, this researcher did using a medium of Video in teaching method of home economics. For this purpose, the quality of Video Tape would be important. Above all, we made out the script of Video Tape through advices of specialists in Video medium, majors in home economics, and the students teaching of home economics and the concerned persons, by which we recorded a gather skirt, as a finished goods, especially of the characteristics of each kind of a skirt. Next, we recorded and produced the total steps from a preparation of skirt-making to a finishing as using a V.T.R. shot technique. The Video would be screened and the supplemented explaination of a teacher would be added in a step of instruction. In the development of instruction, students would begin the making. The expected effects according to using Video Tape are as follows. 1. The making order of text would be exhibited by a model directly and the explaination of a narrator would be added concurrently, by which students would understand it easily as confirming each step. 2. All students can watch these steps owing to a close up, one of the V.T.R Techniques. Accordingly, the teacher’s efforts would be decreased and the proper progress of a text could be maintained because of no repeated exhibition of a teacher. 3. To the teachers unaccustomed to and interested in a drill, the medium would become a subsidiary means. 4. Study all steps of a making, students would become to understand the general flow of a work. Therefore, it might be possible to generalize another units of a making. However though this study was designed don a basis of such effects, the using effects based on only the existing study results, and was focused on the production of a medium. Because this research would be a teacher and there was noncooperation of secondary schools, it was impossible to experiment in schools, which was the prime limitation of this study. Therefore we should be experiment further for the continuous studying.