• Journal of Science Education
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• v.41 no.3
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• pp.480-498
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• 2017

This study analyzed the errors of 6th graders of elementary school in problem solving process of the measurement domain. By analyzing the errors that students make in solving difficult problems, this study tried to draw implications for teaching and learning that can help students reach their achievement standards. First, though the students were given enough time to deal with problems, the fact that about 30~60% of students, based upon the problems given, can't solve them show that they are struggling with a part of measurement domain. Second, it was confirmed that students' understanding of the unit of measurement, such as relationship between units, was low. Third, the students have a low understanding in terms of the fact that once the base is set in a triangle then the height can be set accordingly and from which multiple expressions, in obtaining the area of the triangle, can be driven.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.1
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• pp.17-34
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• 2023

This study aimed to develop a fitted torso pattern with an improved fit for inverted-triangular males in their twenties. For this study, six torso patterns were collected, compared and evaluated, and a fitted torso pattern was developed using virtual fittings. The research results are as follows. First, the fitted torso pattern received a good rating as a result of the virtual fitting evaluation: waist dart set 2 of the front; the amount of comfort is set at 5 cm around the chest, 4 cm around the waist and 10 cm around the hips. Second, the evaluation of virtual fitting of the development pattern showed that fit evaluation was 4.11/5 points, ease evaluation was 6.53/7 points, and that the stress map and airgap were suitable for the human body. Third, the actual fit evaluation of the development pattern was 4.25/5 points, 6.35/7 points for ease evaluation, and 4.81/5 points for motion evaluation. Fourth, there was no significant difference between the results of the virtual and actual fitting evaluation with the objectivity test. It is therefore possible to apply a pattern developed through a virtual fitting to an actual human body and to confirm the objectivity of the pattern.

• Korean Journal of Computational Design and Engineering
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• v.7 no.2
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• pp.89-95
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• 2002

VRML data, which is mainly structural element, is frequently used for modeling and visualizing 3D objects. Although there can be variations, it is a usual practice to represent 3D shapes in VRML format. Ever since the advent of Internet, there have been strong needs to transfer shape data through Internet. Because of this need, it is necessary to transform a data file in VRML or similar format into a more convenient form to transfer through the network. In a VRML file, a model is sometimes divided into a set of triangle meshes due to several practical reasons. However, this causes various demerits for the fast transmission. Therefore, it is more efficient to merge the mesh sets into one mesh set for the transmission. In this paper, we present the problems in the merge process and the techniques to handle the situation.

• Journal of the Korean Home Economics Association
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• v.46 no.9
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• pp.137-146
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• 2008

This study was conducted in order to spread out lower body 3D scan data of men in their twenties. The aim was to achieve slacks pattern with ease allowance through comparison with existing flat patterns. For conversion of 3D scan data into 20 pattern, reference lines were established by using Rapid Foam in 3D shape analysis software. 2C-AN program and Yuka CAD were used to convert 20 pattern earned with straight posture of 3D scan data into slacks pattern by using Triangle Simplification & Runge-Kutta Method. In order to achieve this we needed to set a line 9cm below the hip line, to array vertex of each block to crease line while maintaining the horizontal line. And then we needed to set ease allowance in back crotch and to set waist circumference or hip circumference ease allowance in side seam of slacks. Results showed that long front crotch length can be achieved if 3D scan data is compared with 20 existing flat pattern. Slacks pattern that raise front crotch by about 1.5cm compared to back crotch and also possess ease allowance in back crotch area are great in appearance evaluation.

• Journal of the Korean Society of Costume
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• v.60 no.4
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• pp.18-29
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• 2010

For the Gwangyang Ume Flower Festival, this study sought to develop competitive fashion culture goods design and to activate regional culture festival by reinterpreting ume flower image in accordance with current trends, manufacturing motive patterns, and applying them to neckties, scarves, and T-shirts. In terms of method, four basic motives were set that showed new figurative images of ume flowers using Adobe Illustrator 10. The repetitive units of each motive we combined with the ume flower motives and the geometrical patterns, such as quadrangle, triangle, and circle. The basic direction of design was set so that color and texture could have colorful, modern, and natural images using pastel tone and gradation. The set patterns were applied to the repetition, the repetition of the transformed patterns of 45 angle, and the strife patterns, making it possible to display various images in the fashion items such as neckties, scarves, handkerchiefs, or T-shirts. The development of such fashion culture goods seems to be more significant, since they can be easily accessed by general festival participants. Accordingly, the Gwangyang Ume Flower Festival seems to develop not into food-led festival, but into a cultural festival that can publicize more various programs and create profits.

• Journal of Korea Port Economic Association
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• v.29 no.3
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• pp.39-72
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• 2013

As a regional development gap between Southwest and Southeast of Jeonnam Province are becoming more serious, it is highly time to come up with measures for the balanced development of the two areas. This paper suggests construction of the Airport and Port Supporting Complex in apparent efforts to reduce the gap between the two areas and facilitate the Southwest economy. The Supporting Complex aims to constitute a triangle industrial cluster which is classified into the following three categories; 1. Traditional competitive industries 2. New growth engine industries 3. Attraction of companies u-turning from abroad such as China etc. To provide one-stop service through set-up of R&D Business Center is the heart of this triangle core. This paper had LQ and Shift&Share Analysis in an attempt to search for competitive industries among the traditional industries in Mokpo-si(city) and Muan-gun(county) of Jeonnam Province. As a result of the analysis, metal manufacturing industry and metal-working process products industry have been found competitive in the two areas. Among the new growth engine industries, this paper suggests precision instruments industry and advanced parts industry for utmost strengths of airport and port while u-turning industries from abroad include higher value-added textile industry and fashion industry. It is expected that all of above-mentioned industries for the triangle industrial cluster will contribute to laying the groundwork to develop regional economy further and create more jobs in the Southwest area of Jeonnam Province.

• The Korean Journal of Psychodrama
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• v.21 no.2
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• pp.73-95
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• 2018

The purpose of this study is to show an example of the integrated application of The Transactional Analysis and Psychodrama in order to help various experimental attempts and Empowering of psychodramatists. The Drama Triangle, a game model developed by Kaufman, can be well explained through the Psychodrama. Linda Condon introduced role reversal, mirroring, and auxiliary ego, double ego technique that helps act in psychodrama through a model for restoring dysfunction. The Acting out of Psychodrama provides emotional experiences and experiences that can not be presented in Transactional analysis. Through the couching technique Psychodrama, it is possible to accurately inform the situation of the victim, the persecutor, and the rescuer who plays the psychological game. Also, couching technique can perform role training for solution. The concept of the ego state of The Transactional analysis can be useful for the director to understand the Protagonist's language and attitude and to set the scene. This paper shows an example of the application of the Transactional Analysis approach and the Psychodrama integration through the act of the drama triangle game, which is the concept of Transactional Analysis, and it is meaningful to propose a circular relationship framework of the role developed by the author .

• Journal of the Korea Computer Graphics Society
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• v.21 no.1
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• pp.13-21
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• 2015

We present a robust GPU algorithm constructing a sweep volume boundary for a triangular mesh model. Sweeping geometric entities of a triangular mesh object is first approximated to a set of triangles, the envelope of which becomes the outer boundary of the sweep volume. We find the envelope by computing the arrangement of the triangle set and extracting its outmost boundary. To ensure robustness of the algorithm, we adopt random perturbation of sweep vertices and the interval arithmetic using multi-level precisions. The algorithm is implemented to perform most computation on GPU, and as a result it runs two orders of magnitude faster than other algorithms.

• Toxicological Research
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• v.32 no.4
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• pp.289-300
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• 2016

Non-genotoxic carcinogens are substances that induce tumorigenesis by non-mutagenic mechanisms and long term rodent bioassays are required to identify them. Recent studies have shown that transcription profiling can be applied to develop early identifiers for long term phenotypes. In this study, we used rat liver expression profiles from the NTP (National Toxicology Program, Research Triangle Park, USA) DrugMatrix Database to construct a gene classifier that can distinguish between non-genotoxic carcinogens and other chemicals. The model was based on short term exposure assays (3 days) and the training was limited to oxidative stressors, peroxisome proliferators and hormone modulators. Validation of the predictor was performed on independent toxicogenomic data (TG-GATEs, Toxicogenomics Project-Genomics Assisted Toxicity Evaluation System, Osaka, Japan). To build our model we performed Random Forests together with a recursive elimination algorithm (VarSelRF). Gene set enrichment analysis was employed for functional interpretation. A total of 770 microarrays comprising 96 different compounds were analyzed and a predictor of 54 genes was built. Prediction accuracy was 0.85 in the training set, 0.87 in the test set and increased with increasing concentration in the validation set: 0.6 at low dose, 0.7 at medium doses and 0.81 at high doses. Pathway analysis revealed gene prominence of cellular respiration, energy production and lipoprotein metabolism. The biggest target of toxicogenomics is accurately predict the toxicity of unknown drugs. In this analysis, we presented a classifier that can predict non-genotoxic carcinogenicity by using short term exposure assays. In this approach, dose level is critical when evaluating chemicals at early time points.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.547-550
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• 2009

The object recognition mechanism of human being is not well understood yet. On research of animal experiment using an ape, however, neurons that respond to simple shape (e.g. circle, triangle, square and so on) were found. And Hypothesis has been set up as human being may recognize object as combination of such simple shapes. That mechanism is called Figure Alphabet Hypothesis, and those simple shapes are called Figure Alphabet. As one way to research object recognition algorithm, we focused attention to this Figure Alphabet Hypothesis. Getting idea from it, we proposed the feature extraction algorithm for object recognition. In this paper, we described recognition of binarized images of multifont alphabet characters by the recognition model which combined three-layered neural network in the feature extraction algorithm. First of all, we calculated the difference between the learning image data set and the template by the feature extraction algorithm. The computed finite difference is a feature quantity of the feature extraction algorithm. We had it input the feature quantity to the neural network model and learn by backpropagation (BP method). We had the recognition model recognize the unknown image data set and found the correct answer rate. To estimate the performance of the contriving recognition model, we had the unknown image data set recognized by a conventional neural network. As a result, the contriving recognition model showed a higher correct answer rate than a conventional neural network model. Therefore the validity of the contriving recognition model could be proved. We'll plan the research a recognition of natural image by the contriving recognition model in the future.