• Fashion & Textile Research Journal
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• v.15 no.6
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• pp.963-970
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• 2013

The purpose of this study was to develop torso pattern of underweight female in their 20s~30s by using Clo 3D virtual garment simulation system. The results were as follows; first, as a result of analyzing torso somatotype, underweight women showed lower average than average values of whole women in their twenties and thirties in the items such as length, width, circumference, thickness except for height. Second, by using 3D virtual garment simulation, new torso pattern considered underweight female was development. The basic numerical formula were as follows ; bust girth B/2+3.5, armhole depth B/4+0.5, front waist girth W/4+0.5+0.7, back waist girth W/4+0.5-0.7, front hip girth H/4+1+0.5, back hip girth H/4+1-0.5, chest width B/6+3.1, back width B/6+4.5, neck width B/12+0.2 and neck depth B/12+1.7. Third, by reducing hollowed amount of front, back, and side line, and hollowed amount of back center line, the reduced quantity was included to darts amount. Number of dart was adjusted to two pieces so that darts amount was equally distributed to two darts. Forth, according to the results of the new torso pattern's appearance evaluation, it estimated more highly than existing pattern in silhouette and ease amount, confirming that new torso pattern was appropriate for the underweight women. This study is expected to serve as one of important basic data for ensuing studies that may utilize 3D virtual garment simulation system with 2D patterns, and also for future 3D pattern production program development.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.28 no.4
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• pp.1-11
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• 2015

Objective : The aim of this study was to suggest guidelines using Nasal endoscopy index for objective pattern identification in allergic rhinitis patients. we performed a clinical study to investigate the relationship between Nasal endoscopy index and Cold-heat pattern identification for allergic rhinitis patients.Methods : We assessed 32 patients with allergic rhinitis using Nasal endoscopy index and the patients filled in Cold-Heat pattern questionnaires. Then, we analyzed the relationship between Nasal endoscopy index and Cold-heat pattern identification.Results : Pale and watery rhinorrhea scores were positively correlated with Cold questionnaire score (P<0.05).Conclusion : The results suggest that pattern identification using nasal endoscopy for allergic rhinitis can be useful for assessing the diagnosis of Cold-heat pattern identification and deciding guidelines of treatment.Acknowledgments : This work was supported by a Grant of the Traditional Korean Medicine R&D Project, Ministry of Health and Welfare, Republic of Korea (HI12C1889 and HI13C0530).

• Nutrition Research and Practice
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• v.13 no.4
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• pp.316-322
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• 2019

BACKGROUND/OBJECTIVES: The association between dietary patterns and depression has been reported but the results have been inconsistent. This study was conducted to investigate the association between dietary patterns and depression in middle-aged Korean adults. SUBJECTS/METHODS: The participants were selected from a community-based cohort, a subset of the Korean Genome and Epidemiology Study. Depression was assessed using the Korean version of the Beck Depression Inventory (BDI) and those with a BDI score ${\geq}16$ were defined as having depression. The subjects' food intakes over the year preceding the survey were estimated by using a validated semi-quantitative food frequency questionnaire. Dietary patterns were identified by using factor analysis. Multiple logistic regression was used to assess the association of dietary pattern with depression. RESULTS: Among 3,388 participants, 448 (13.2%) were identified as having depression. We identified two major dietary patterns: 'Healthy' dietary pattern was characterized by high intakes of vegetables, soybeans, mushroom, seaweeds, white fish, shellfish and fruits and a low intake of white rice. 'Unhealthy' dietary pattern was characterized by high intakes of white rice, meats, ramen, noodles, bread and coffee and a low intake of rice with other grains. Compared with subjects in the lowest quartiles, those in the highest quartiles of the healthy dietary pattern had a significantly lower odds ratio (OR = 0.59, 95% CI: 0.42-0.82, P for trend = 0.0037) after adjusting for potential confounders. In contrast, the unhealthy dietary pattern was negatively associated with depression (OR = 1.65, 95% CI: 1.19-2.28, P for trend = 0.0021). CONCLUSION: This results suggest that a healthy dietary pattern (rich in vegetables, soybeans, mushroom, seaweeds, white fish, shellfish, and fruits) is associated with low risk of depression. Whereas an unhealthy dietary pattern (rich in white rice, meats, ramen, noodles, bread, and coffee) is associated with a high risk of depression in middle-aged Korean adults.

• The Research Journal of the Costume Culture
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• v.31 no.1
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• pp.18-33
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• 2023

Zero-waste pattern cutting is a groundbreaking sustainable fashion practice. However, few brands and designers have pursued this method because it requires creative pattern design that diverges from the existing process of using pattern slopers. Therefore, application within the fashion industry is not sufficient. Therefore, in an attempt to highlight the key characteristics of zero-waste pattern design, this study classifies and analyzes cases in which similar designs employ zero-waste pattern-cutting techniques. We hope to make zero-waste pattern design more accessible by presenting realistic pattern-cutting guidelines. To this end, theoretical research on relevant literature, previous research, and online resources and an empirical analysis of cases involving zero-waste pattern cutting were conducted in parallel. As a result of the study, we were able to classify the factors of zero-waste pattern design in terms of fabric use, design, and composition. Regarding materials, our research revealed the importance of appropriate fabric width, understanding the difference between waste minimization and minimal fabric use, and easy reuse and recycling. In terms of design, the simultaneous progress of pattern and design work, adjustable loose silhouettes, and the use of surplus fabric for functional and decorative details emerged as key characteristics. For composition, we found that size adjustment limits, arrangement irregularity, and pattern shapes were crucial elements and that various arrangements revealed unlimited design potential.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.49 no.12
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• pp.643-650
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• 2000

Using neural network approach, the diagnosis of faults in industrial process that requires observing multiple data simultaneously are studied. Two-stage diagnosis is proposed to analyze system faults. By using neural network, the first stage detects the dynamic trend of each normalized date patterns by comparing a proposed pattern. Instead of using neural network, the difference between stored fault pattern and real time data is used for fault diagnosis in the second stage. This method reduces the amount of calculation and saves storing space. Also, we dealt with unknown faults by normalizing the data and calculating the difference between the value of steady state and the data in case of fault. A model of tank reactor is given to verify that the proposed method is useful and effective to noise.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.115-115
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• 2000

A gait pattern classification method using electromyography(EMG) signal is presented. The gait pattern with four stages such as stance, heel-off, swing and heel-strike is analyzed and classified using feature parameters such as zero-crossing, integral absolute value and variance of the EMG signal. The EMG signal from Tibialis Anterior and Gastrocnemius muscles was obtained using the surface electrodes, and low-pass filtered at 10kHz. The filtered analog signal was sampled at every 0.5msec and converted to digital signal with 12-bit resolution. The obtained data is analyzed and classified in terms of feature parameters. Analysis results are given to show that the gait patterns classified by the proposed method are feasible.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.240-242
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• 2014

This paper presents the system which can be predicted 3-D underwater radiated noise pattern using submarine hull velocity and can be analyzed the counter detected performance for threats in real time. To verify the developed system the tests were done in a water tank for structure like a submarine. The far field radiated noise pattern predicted using the developed system is compared with the result calculated using the near field measurement system, these results have shown good agreement.

• Journal of the Korea Institute of Military Science and Technology
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• v.12 no.1
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• pp.18-23
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• 2009

It is hard to find an operation case using anti-submarine searching pattern(ASSP) developed by Korean navy since Korean navy has begun submarine searching operation. This paper proposes the method to develop hull mount sonar(HMS) based optimal submarine searching pattern by using genetic algorithm. Developing the efficient ASSP based on theory in near sea environment has been demanded for a long time. Submarine searching operation can be executed by using ma ulti-step and multi-layed method. however, In this paper, we propose only HMS based ASSP generation method considering the ocean environment and submarine searching tactics as a step of first research. The genetic algorithm, known as a global opination method, optimizes the parameters affecting efficiency of submarine searching operation. Finally, we confirm the performance of the proposed ASSP by simulation.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1486-1489
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• 2009

Micro wall is fabricated using iterative screen printing that it is able to fabricate the pattern as low cost, simple process, formation of pattern at large area on the various substrates. In the process of micro wall fabrication using screen printing, the printing result with pressure change in process and improvement of surface roughness using hydrophillic plasma treatment are included. Height of micro wall increase linearly and precision of iteration is very high. Error rate of printed pattern width is very high, but change rate of width is under 10 %. Fabricated micro pattern have minimum width $48.75{\mu}m$ and maximum height $75.45{\mu}m$ with aspect ratio 1.55.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.12
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• pp.1256-1261
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• 2008

This paper proposes a way to measure the displacement of a multi-point by using a pattern recognition from video signal. Generally in measuring displacement, gab sensor, which is a displacement sensor, is used. However, it is difficult to measure displacement by using a common sensor in places where it is unsuitable to attach a sensor, such as high-temperature areas or radioactive places. In this kind of places, non-contact methods should be used to measure displacement and in this study, images of CCD camera were used. When multi-point is measure by using a pattern recognition, it is possible to measure displacement with a non-contact method. It is simple to install and multi-point displacement measuring device so that it is advantageous to solve problems of spatial constraints.