• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.4
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• pp.791-797
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• 2001

In this paper, high-speed ,large-capacity ATM switching-chip is developed by MCM technology. MCM technology is suited for light-weight portable communications, mobile computing, high-frequency applications. For test of the developed MCM switching-chips, the simulating model is made by VHDL code of previously developed chip and input-output values of modeling pattern are obtained through the simulation. After the pattern values in chip-test machine are inserted , their results are compared with the simulation results. The design in this paper is simulated by synopsys design tool using SUN workstation and functions of chip is measured by TRILLIUM machine. Simulated and measured results have been compared, showing close agreement. Last, the MCM technique presented in this paper will provide useful insight into future designs.

• Journal of the Korea Society of Computer and Information
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• v.27 no.5
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• pp.85-92
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• 2022

In this paper, we propose a technique that can express low-resolution hair and fur simulations in high-resolution without noise using ConvNet and geometric images of strands in the form of lines. Pairs between low-resolution and high-resolution data can be obtained through physics-based simulation, and a low-resolution-high-resolution data pair is established using the obtained data. The data used for training is used by converting the position of the hair strands into a geometric image. The hair and fur network proposed in this paper is used for an image synthesizer that upscales a low-resolution image to a high-resolution image. If the high-resolution geometry image obtained as a result of the test is converted back to high-resolution hair, it is possible to express the elastic movement of hair, which is difficult to express with a single mapping function. As for the performance of the synthesis result, it showed faster performance than the traditional physics-based simulation, and it can be easily executed without knowing complex numerical analysis.

• Journal of the Korea Computer Graphics Society
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• v.29 no.3
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• pp.117-125
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• 2023

In the development of clothing design through virtual simulation, it is essential to minimize the differences between the virtual and the real world as much as possible. The most critical task to enhance the similarity between virtual and real garments is to find simulation parameters that can closely emulate the physical properties of the actual fabric in use. The simulation parameter optimization process requires manual tuning by experts, demanding high expertise and a significant amount of time. Especially, considerable time is consumed in repeatedly running simulations to check the results of applying the tuned simulation parameters. Recently, to tackle this issue, artificial neural network learning models have been proposed that swiftly estimate the results of drape test simulations, which are predominantly used for parameter tuning. In these earlier studies, relatively simple linear stiffness models were used, and instead of estimating the entirety of the drape mesh, they estimated only a portion of the mesh and interpolated the rest. However, there is still a scarcity of research on non-linear stiffness models, which are commonly used in actual garment design. In this paper, we propose a learning model for estimating the results of drape simulations for non-linear stiffness models. Our learning model estimates the full high-resolution mesh model of drape. To validate the performance of the proposed method, experiments were conducted using three different drape test methods, demonstrating high accuracy in estimation.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.187-207
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• 2018

The purpose of this study was to develop a teaching-learning plan applicable to high school technology·home economics and home science classes in order to prevent adolescents' dating violence which is one of the serious social problems we are facing lately. This research has following three steps: 1. Analyzing contents and selecting content elements, 2. Developing teaching-learning materials, and 3. Performing a pilot test and making corrections. In the first step, this author analyzes how the contents associated with dating violence are presented in the 2015 curriculum of technology·home economics and the textbooks and reviews related literatures to select content elements necessary to prevent dating violence for those going through adolescence. Based on that, in the second step, this researcher develops a teaching-learning plan for six lessons and then makes it verified by two experienced teachers of home economics. In the last step, the teaching-learning plan for six sessions developed is implemented to two high school classes, and then, based on the results of examining the opinions of the teachers implementing the plan and students about the class, this researcher modifies and complements the parts of the plan showing low applicability to the field and develops the final dating violence prevention teaching-learning plan. In order to prevent adolescents' dating violence, it is necessary to create a social environment safe from violence and provide violence prevention education before they begin to have relationship. This researcher expects that this teaching-learning plan is applied in home economics class and it can contribute to enhancing students' sensitivity about violence and improving their competencies to make wise judgments in problematic situations and cope with them properly.