• 복식문화연구
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• 제23권4호
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• pp.616-627
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• 2015

The purpose of this study was to develop slacks patterns for obese-schoolgirls aged 10~12 by using a 3D virtual garment simulation system. The criteria for subjects in this study were girls who had a BMI of over $25kg/m^2$. A total of 155 schoolgirls who met these criteria were enrolled. The results were as follows: First, by using 3D virtual garment simulation, a new slacks pattern considerate of obese-schoolgirls was developed. The basic numerical formulae were as follows: Front and back hip girth of H/4-0.5+1 and H/4+0.5+1.5, front waist girth of W/4+1+0.5, back waist girth of W/4+2+0.5, front crotch extension of H/16-0.5, back crotch extension of H/8-0.5, front dart amount of 1, and back dart amount of 2. Second, according to the new slacks pattern appearance evaluation, the new slacks pattern scored more highly than the existing pattern for silhouette and ease amount, confirming that the new slacks pattern is appropriate for obese-schoolgirls. Additionally, the new slacks pattern was evaluated allowing for the proper space length of the waist, abdomen and hips. This study is expected to serve as important basic data for ensuing studies that may utilize a 3D virtual garment simulation system with 2D patterns and for future 3D pattern production program development.

• 한국의류학회지
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• 제31권5호
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• pp.692-704
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• 2007

Recently, Basic patterns with excellent body fitness and automation availability are required to be developed in order to automate the patterns of women's clothes. In this study, this reference points, reference lines and segments were fixed onto 3D scan data for the lower body the women in their twenties, they were directly spread out to be 2D flat pattern to facilitate development into the design of slacks adhered closely to the human body such as special and highly-functional clothes, and then slacks 2D pattern was developed for the purpose of seeking scientific approach to the development into basic form slacks and 3d emotional pattern. For conversion of 3D pattern into 2D flat pattern, reference points and segments were created by using Rapid Form of 3D shape analysis software, and triangle mesh of the body surface of the created shape was developed with Auto CAD 2005. The correspondence between slacks and human body was examined by the fixation of major reference lines. Specially, the wearing characteristics of slacks were considered by the fixation of side lines in consideration of posture. As a result of using the way of development to constantly maintain the length while 3D triangle mesh is converted into 2D flat mesh, the shape was shown to be excellently reproduced, and the area of flat pattern was increased compared to the shape of parting plane. Also, the sunk-in curve like the brief line of front crotch length needed a cutting line when it was closely adhered, when mesh was overlapped, and the pattern area was smaller compared to the actual shape.

• 한국의류산업학회지
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• 제15권6호
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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.

• 한방안이비인후피부과학회지
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• 제28권4호
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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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• 제13권4호
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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.

• 대한전기학회논문지:시스템및제어부문D
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• 제49권12호
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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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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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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.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2014년도 추계학술대회 논문집
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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.

• 한국군사과학기술학회지
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• 제12권1호
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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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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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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.