• Proceedings of the Korean Operations and Management Science Society Conference
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• 대한산업공학회/한국경영과학회 2006년도 춘계공동학술대회 논문집
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• pp.1214-1220
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• 2006

In this article, it will be shown that a nonparametric and data-adaptive approach to the variance change point (VCP) detection problem is possible by formulating it as a pattern classification problem. Technical aspects of the VCP detector are discussed, which include its training strategy and selection of proper classification tool.

• Journal of Fashion Business
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• 제11권3호
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• pp.35-45
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• 2007

This study examined how to create 2D basic pattern of individuals by means of 3-D body figure, which is to develop a flat of individual basic pattern directly from the 3-D body scan data of each subject using that of the upper body of a male adult. In terms of methodology, this study adopted 3D body scan data on system and body to make examinations in the following steps: 1. Standard point and line were set on human body, along with 3-D definition points(feature points). 2. PB was created by modifying horizontal and longitudinal section of scan data. 3. Ways to set reserve were established in the findings of PB planar development. Respective developed flat patterns were compared with pattern findings in previous studies by means of sensory evaluation. As a result, it was found that both system and body model are basic pattern and belong to appropriate pattern as semi-tight-fit basic pattern with overall appropriate tolerances. Thus, this study came to a conclusion that it is feasible and valid to develop theories for flat development as considered herein.

• Journal of the Korean Institute of Landscape Architecture
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• 제29권4호
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• pp.12-23
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• 2001

The research focused on the landscape of mountains and hills drawn in a landscape picture. The purpose of the research is to classify patterns of landscape drawning in landscape pictures and to clarify the characteristics of the pattern by a quantitative index. We selected 21 landscape pictures to understand the Landscape Setting Here(LSH) and Landscape Setting These(LST). We investigated size quantitative indices using 1 landscape picture. The index is a follow: altitude, Visual Distance, Angles, Angle of Appearance Size, Inclination, and Angle of Incidence. The following results were obtained by using this data. 1) It has been understood that we offer an important city view because the LSH of this research can establish understanding of the city structure. 2) We dividing 3 patterns by the LST space drawn in the landscape picture. 3 patterns are Ferry point, Beauty point, an Signal-fire point. 3) We clarified the landscape characteristics of each pattern and the characteristics between patterns by using the index according to this pattern. 4) We understood the problem concerning the Seoul city landscape examining the pattern of this research with the ordinance of Seoul city. It is necessary to standardized a system of pattern classification utilized in landscape pictures to establish a universally interpreted detailed quantitative index, which can be applied to research.

• Journal of the Korean Society of Clothing and Textiles
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• 제33권7호
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• pp.1109-1120
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• 2009

This study develops a fitted torso type basic pattern for men by utilizing 3D body scan data. Recent fashion trends are reflected in the development of the pattern. The subjects were 15 men in their 20's, who wear size 95 (M size). Body scan data was obtained through a 3D whole body scanner (WB4, Cyberware, USA), and a body surface development figure for developing male fitted torso type basic pattern was attained through the use of Rapid Form 2006 as well as Auto CAD 2006 programs. The results are as follows: A body surface development figure through body surface segment method showed high exactitude in an error range of 100$\pm$1%. In addition, it occurred in an error range of 100:1:3% because of the hard scanning conditions in the incline of the shoulder and armpit areas. However, the body surface development figure as well as the direct measurement results can be used as basic data for the given patternmaking since the error range falls into 100$\pm$3%. Dart amounts obtained from the average cross section were center back 2.2cm (24.3%), back armpit point 3.8cm (41.8%), front armpit point 3.0cm (33.9%). As shown the jacket pattern, the biggest dart amount was portioned out at the back armpit point. The drafting equations for the development pattern acquired are as follows; Full width=C/2+5cm, back length=height/4-1cm, armhole depth=(C/10+12cm)+3cm, back width=2C/10+2cm, front width=2C/10. The development pattern was a fitted torso basic pattern that was composed of 3 pieces, so it would be very useful in developing shirt or jacket patterns. According to the results of the evaluation of the developed pattern appearance, it obtained higher scores of over 3.5 points in almost items, meaning that the developed pattern is appropriate for a male fitted torso type basic pattern. It suggests a possibility of patternmaking from a body surface development figure in 2-D to prototype.

• Proceedings of the IEEK Conference
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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• pp.187-190
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• 2000

In this paper, implementation of speech Recognizer system, Separated from Personal computer. By using DSP, this intends to extend the voice recognizing, limited into PC because of amount of data and calculations. For this performance The thesis uses the real time End point detector and organizes no additional device between human and the system, characteristic vector are that detects End point and voice from absolute energy and ZCR, that uses 12 difference Cepstrum from LPC, that uses the method to compensate the process of pattern separating and pre-calculated standard pattern limitation.

• International Journal of Quality Innovation
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• 제2권1호
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• pp.30-49
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• 2001

This paper considers a recent environment in the manufacturing process in which data in large amounts can be obtained on-line in real-time. Under this environment an on-line real-time Statistical Process Control (SPC) scheme equipped with detection of a process change, change-point estimation, and recognition of the change pattern is proposed. The proposed SPC scheme is composed of a Cusum chart, filtering methods and Akaike Information Criterion (AIC). We examine the performance of this scheme by Monte Carlo simulation and show its usefulness.

• Transactions of the Korean Society of Mechanical Engineers A
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• 제20권4호
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• pp.2752-2759
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• 1996

This paper presents crack growth analysis approach on the basis of neural networks, a branch of cognitive science to high temperature low cycle fatigue that shows strong nonlinearity in material behavior. As the number of data patterns on crack growth increase, pattern classification occurs well and two point representation scheme with gradient of crack growth curve simulates crack growth rate better than one point representation scheme. Optimal number of learning data exists and excessive number of learning data increases estimated mean error with remarkable learning time J-da/dt relation predicted by neural networks shows that test condition with unlearned data is simulated well within estimated mean error(5%).

• Journal of Fashion Business
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• 제15권5호
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• pp.178-194
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• 2011

Due to the population growth of the old aged, Korea is also entering into an aging society. But a research on the pattern design to the old aged is much to be desired. The purpose of this research is to design skirt pattern fitted for each body type by categorizing the lower body type of the old aged woman. For the way of research, categorized the body type by using the female measuring size from the 65 years old to 99 years old which has been measured by the Korean body size research as an assay data, and base on this data, a suitable skirt pattern for each body type of the old aged woman was designed by practicing the exterior evaluation. The data analysis was done with the statistical treatment in SPSS 12.0, and the results are as follows. The lower body type of the old aged woman were divided into the type 1. The circumference article is the biggest compared to the height article regarding to the lower body type of the old aged woman. The type 2. The height article and the circumference and thickness articles are the poorest. The type 3. The height article is the biggest and the hip width and calf circumference are thicker than the waist width. The type 4. The height article is the lowest and the waist width is thicker instead the hip and leg are thinner. In type 1, The pattern was modified by increasing 1cm a length of the dart and raising up 1.2cm at the cross point between side line and waist line. In type 2, the basic pattern was used, and in type 3, using the outline of the basic pattern however, increased 1cm a length of the dart and modified the amounts of dart by handling the art in curve, and modified the waist line to be more three-dimensional curves by raising up 1 cm at the cross point between waist line and side line and falling down 0.5cm at the cross point between the back center line and the waist line. In type 4, modified the amounts of front and back dart to 1.25cm, and raised up 0.8cm at the cross point between side line and waist line, and modified the waist line and the side seam line in a gentle curve by reducing circumference of the skirt tail to 1cm from the side seam line.

• Journal of the Korean Society of Clothing and Textiles
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• 제27권11호
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• pp.1190-1197
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• 2003

The purpose of this study is to compare and analyze methods of women's apparel prototypes and provide for some useful fundamental data to improve the apparel prototype suitable for Korean women. Two different drafting methods, the Bunka pattern of Japan Bunka Women's University and the Secoli pattern of Italy istituto carlo secoli, an italian pattern drafting institute, were selected. The result and discussion are as follows; In the calculation formula, the Bunka was shown more comfort at arm-hole part, because of it's lower arm-hole depth, wider arm-hole width and lower cap height in comparison with the Secoli. At the shoulder angle, the Bunka is inclined more in front shoulder than the back shoulder, whereas the Secoli is inclined more in back shoulder than the front shoulder. It could explain that the Bunka is suitable for bendforward type and the Secoli is suitable for lean-back type. In the sensory test, the one-piece pattern of the Secoli with 4cm ease was highly estimated in ease. It seems young women's preference to body conscious clothes which reflected in many new elastic fabrics. At the bust point to neck, the Bunka was highly estimated, compared with the Secoli. It seems like to be caused that for the bust point to neck formula, the Bunka used bust girth, the Secoli used stature which has low correlation with the bust point to neck.

• Journal of Korea Multimedia Society
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• 제23권2호
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• pp.155-165
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• 2020

In this paper, we propose a smart thermostat temperature set-point control method based on machine learning and rule engine, which controls thermostat's temperature set-point so that it can achieve energy savings as much as possible without sacrifice of occupants' comfort while users' preference usage pattern is respected. First, the proposed method periodically mines data about how user likes for heating (winter)/cooling (summer) his or her home by learning his or her usage pattern of setting temperature set-point of the thermostat during the past several weeks. Then, from this learning, the proposed method establishes a weekly schedule about temperature setting. Next, by referring to thermal comfort chart by ASHRAE, it makes rules about how to adjust temperature set-points as much as low (winter) or high (summer) while the newly adjusted temperature set-point satisfies thermal comfort zone for predicted humidity. In order to make rules work on time or events, we adopt rule engine so that it can achieve energy savings properly without sacrifice of occupants' comfort. Through experiments, it is shown that the proposed smart thermostat temperature set-point control method can achieve better energy savings while keeping human comfort compared to other conventional thermostat.