• Korean Architects
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• no.6 s.100
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• pp.6-14
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• 1977

• Science of Emotion and Sensibility
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• v.11 no.1
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• pp.113-122
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• 2008

This study surveyed the physical properties of the domestic and foreign worsted fabrics which are used for men's garments. For this purpose, forty specimens which were divided into 1st fourteen specimens and 2nd twenty six ones were prepared and the physical property assessment by Blind field test was carried out by test committee. The subjective test items by Blind field test were chosen as handle(softness, flexibility), color(brightness, deepness), appearance(cleanness, natural lustre) and comparison priority.

• Journal of Fashion Business
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• v.21 no.5
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• pp.91-108
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• 2017

Interests in 3D virtual clothing technology and its application in online shopping malls are increasing with the advent of the Fourth Industrial Revolution. Most studies on 3D virtual clothing, however, are focused on observing drapes or ease of virtual clothing depending on fabric properties of representative clothing items. Therefore, the purpose of this study is: first, to determine if current input of typical material characteristics in 3D CLO are sufficient to formulate virtual skirts with different front and back silhouettes; second, to determine if subjective appearance evaluation matched physical shape characteristics of those skirts. In this study, appearances of typical cotton, wool, silk, rayon, and polyester skirts with different front and back pattern were compared between actual and virtual clothing depending on fabric materials. Subjective appearance evaluation was conducted by 7 experts regarding similarity between actual and virtual clothing with a 5-point scale. For objective evaluation of the both types of skirt shape, degree of roundness at the cross section, displacement of side seam, position of back waistline, and the number of folds at the skirt back were observed. In the case of cotton and wool, not the subjective appearance evaluation as well as shape characteristics of virtual skirts were well matched to the actual shape of skirts with a few material inputs. However, current material inputs for silk, rayon and polyester were insufficient to cover material differences in formation of virtual skirts with different front and back silhouettes.

• Journal of the Korean Society of Costume
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• v.51 no.8
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• pp.111-121
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• 2001

본 연구는 중년여성의 상반신을 대상으로 기존원형에 대한 평가를 실시한 후 이를 기본으로 제도법을 수정·보완하여 중년여성 체형에 맞는 상반신 토루소 연구원형을 제작하기 위한 목적으로 연구되었다. 연구 대상은 35세에서 59세의 중년여성으로 하였으며, 45세를 전후로 체형이 변한다는 선행 연구를 토대로 중년 전기(35세∼45세), 중년 후기(46세∼59세)로 나눠 연구하였다. 연구원형 제작을 위해서 97년 국민체위조사보고 자료에 나온 35세∼59세에 해당하는 신체치수를 사용하여 대학에서 교재로 사용되고 있는 4가지 원형을 설계하고 이를 CADsystem을 이용하여 각 Pattern간의 차이를 정확하게 비교하고, 4가지 원형의 실험복을 제작하여 착의 실험을 통해 객관적 평가 11항목, 주관적 평가 23항목에 대해 설문 조사를 하여 문제점을 파악하였다. 이를 기초로 연구원형을 제작하였고 제작 후 연구원형의 신체 적합성을 알아보기 위해 기존원형과 마찬가지로 착의 실험을 하여 평가하였다. 실험 결과 기존원형들이 착용시 진동부분과 뒤중심부분의 당김으로 인해 착용자가 불편함을 느끼는 것으로 나타났고 외관상으로는 가슴둘레와 엉덩이둘레 부분에 여유분량이 중년여성 체형에 비해 상대적으로 적었으며 가슴선, 허리선, 엉덩이선의 위치 역시 중년여성의 체형과는 맞지 않은 것으로 나타났다. 대체로 중년 전기에 비해 중년 후기에서 수정 보완이 더 요구되었는데 특히 나이가 들수록 등이 뒤로 젖혀지는 현상으로 인해 측면에서 봤을 때 허리가 들어가는 현상이 두드러져 뒤 허리부분의 수정이 요구되었다. 이에 연구원형에서는 기존원형에서 나타났던 가슴선, 허리선, 엉덩이선의 위치 조절을 위해 앞목기준선을 위로 2cm 올려 주었고 가슴둘레와 엉덩이둘레 부분에 여유분을 각각 2cm더 주어 제작하였으며 중년 후기에서 두드러지게 나타났던 뒤허리부분의 문제점을 허리중심선 설정시 1∼2cm안쪽으로 설정하여 체형변화를 반영하였다. 이에 따른 연구원형에 대한 주관적·객관적 착의 평가 결과는 착용시 기존원형에서 나타났던 진동부분과 뒤중심부분의 당김이 없어지고 외관상 가슴선, 허리선, 엉덩이선이 기존원형보다 개선된 것으로 나타났으며, 전체적인 외관에서도 전·후기 모두 기존원형 보다 좋은 것으로 평가되었다.

• Journal of the Korea Institute of Building Construction
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• v.21 no.6
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• pp.665-676
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• 2021

As the number of deteriorated buildings increases, the importance of safety diagnosis and maintenance of buildings has been rising. Existing visual investigations and building safety diagnosis objectivity and reliability are poor due to their reliance on the subjective judgment of the examiner. Therefore, this study presented the limitations of the previously conducted appearance investigation and proposed 3D Point Cloud data to increase the accuracy of existing detailed inspection data. In addition, this study conducted a calculation of an objective building safety grade using a Deep-Neural Network(DNN) structure. The DNN structure is generated using the existing detailed inspection data and precise safety diagnosis data, and the safety grade is calculated after applying the state evaluation data obtained using a 3D Point Cloud model. This proposed process was applied to 10 deteriorated buildings through the case study, and achieved a time reduction of about 50% compared to a conventional manual safety diagnosis based on the same building area. Subsequently, in this study, the accuracy of the safety grade calculation process was verified by comparing the safety grade result value with the existing value, and a DNN with a high accuracy of about 90% was constructed. This is expected to improve economic feasibility in the future by increasing the reliability of calculated safety ratings of old buildings, saving money and time compared to existing technologies.

• Journal of the Korean Society of Costume
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• v.63 no.8
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• pp.27-42
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• 2013

The study was aimed to develop men's working pants patterns through the computerized 3-D virtual clothing simulation system and to verify the effects of the 3-D simulated outfit by comparing it to the images of the actual outfits. The average body measurements of South Korean men aged between 30 and 39 used for the simulation in order to generate a 3-D virtual model and to realize outfits of men's working pants for the workers in the heavy industry in South Korea. And also the preliminary questionnaire survey results on certain aspects of the working pants such as type, detailed design preference and discomforting parts were taken into consideration. Both the simulated and real images of the developed working pants were compared in terms of the ease amount according to parts of the working pants, the position of seam lines, the appearance of darts and pleats, and the effects of the fabric surface according to expertise panels' subjective 5-point scale evaluation. The results throughout the study were (1) the basic working pants item worn by subject workers were the straight one pleated pants. The most discomforting parts of the working pants were in the order of body rise, thigh, hip, waist, pants hems and knee girth. (2) the drafting factors of pants patterns differed by the men's body features, which was related to the allocation of suppression amounts between waist and hip girths into darts and hip curve amounts on the waist line level of the pants. (3) the similarity of the virtually simulated and real images of men's working pants resulted in an average of 4.5 to the ease of appearance, 4.6 to the seam lines, 4.1 to the fabric surface effects in a 5-point scale, which means that the two were highly alike.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.505-510
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• 2024

Since rolling contact fatigue cracks can always occur on the rail surface, which is the contact surface between wheels and rails, railway rails require thorough inspection and diagnosis to thoroughly inspect the condition of the cracks and prevent breakage. Recent detailed guidelines on the performance evaluation of track facilities present the requirements for methods and procedures for track performance evaluation. However, diagnosing and grading rail surface damage mainly relies on external inspection (visual inspection), which inevitably relies on qualitative evaluation based on the subjective judgment of the inspector. Therefore, in this study, we conducted a deep learning model study for rail surface defect detection using Fast R-CNN. After building a dataset of rail surface defect images, the model was tested. The performance evaluation results of the deep learning model showed that mAP was 94.9%. Because Fast R-CNN has a high crack detection effect, it is believed that using this model can efficiently identify rail surface defects.

• The Journal of the Convergence on Culture Technology
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• v.10 no.2
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• pp.511-516
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• 2024

The recently enacted detailed guidelines on the performance evaluation of track facilities presented the necessary requirements regarding the evaluation procedures and implementation methods of track performance evaluation. However, the grade of rail surface damage is determined by external inspection (visual inspection), and there is no choice but to rely only on qualitative evaluation based on the subjective judgment of the inspector. Therefore, in this study, we attempted to develop a diagnostic application that can diagnose rail internal defects using rail surface damage. In the field investigation, rail surface damage was investigated and patterns were analyzed. Additionally, in the indoor test, SEM testing was used to construct image data of rail internal damage, and crack length, depth, and angle were quantified. In this study, a deep learning model (Fast R-CNN) using image data constructed from field surveys and indoor tests was applied to the application. A rail surface damage diagnosis application (App) using a deep learning model that can be used on smart devices was developed. We developed a smart diagnosis system for rail surface damage that can be used in future track diagnosis and performance evaluation work.

• The monthly packaging world
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• s.273
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• pp.101-109
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• 2016

굿디자인(GOOD DESINE)이란 산업통상자원부가 주최하고 한국디자인진흥원의 주관 아래, 산업디자인진흥법에 의거하여 상품의 외관, 기능, 재료, 경제성 등을 종합적으로 심사하여 디자인의 우수성이 인정된 상품에 GOOD DESINE 마크를 부여하는 제도로 1985년부터 매년 시행해 오고 있다. GD마크 선정제란 우수한 디자인 상품개발을 장려하여 국가 경쟁력을 확보하고 국민 삶의 질 향상에 기여하는 것을 목표로 하고 있으며, 나아가 유니버설디자인, 서비스디자인, 전통시장, 산업단지 디자인을 고도화(우수디자인 선정, 장려 등)함으로써 사회적 문제해결과 지속가능한 창조경제를 실현하는데 그 의의가 있다. 선정 대상 품목으로는 제품디자인, 환경디자인, 소재표면처리디자인, 패션디자인, 포장디자인, 커뮤니케이션디자인, 건축디자인 패션디자인으로 대통령상 1점을 비롯해 국무총리상, 대상, 최우수상 등을 시상하고 있다. 굿디자인 상품은 향후 조달청이 시행하는 우수제품선정 및 물품구매 적격심사 시 우대되며, 중소기업청이 시행하는 수출유망중소기업지정 및 수출기업화 사업평가시 우대받을 수 있다. 마크사용에 있어 호주 디자인상(AIDA)과의 상호인증으로 마크 부착이 가능하다. 본 고에서는 2015년 우수디자인(GD)으로 선정된 제품 가운데 생활 포장 및 산업포장 부문 수상작들과 일부 선정된 제품들을 살펴본다.

• Food Science and Industry
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• v.52 no.1
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• pp.40-51
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• 2019

For better understanding the relationship between consumers' perception and sensory characteristics of products, diverse types of rapid sensory profiling technique have been suggested as alternatives to conventional descriptive analysis. Among these, check-all-that-apply (CATA) method has gained popularity for studying consumers' perception and intuitive responses to products due to their simplicity, speed, and ease of use. CATA method has been used to gather consumers' perception derived from sensory characteristics of products as well as consumers' emotion responses to products in recent years. Moreover, many researchers reported that CATA method can be used to provide valuable information for product optimization by applying a penalty analysis and collecting responses to ideal product. Thus, this article reviews recent research using CATA in the field of sensory and consumer science and introduces practical applications to achieve various business objectives in food industry.