• 복식문화연구
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• 제16권6호
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• pp.992-1007
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• 2008

This study was meant to offer the data for predicting the product plan answering the diverse demands for consumers based on the results of analyzing the image and formative property by transforming the stripe patterns. The concrete study way is composed of the collected stimulus centering on the interval of the stripe pattern and value contrast coloration. Consequently 192 stimuli, changed by the pattern direction and pattern interval, clothing style, and contrast coloration, are selected. The experimental materials made for this study are a set of stimuli and response scale. The statistics way used in analysis was factor analysis, ANOVA, dispersion analysis, multiple classification analysis. The results of this study were summed as following. Firstly, In the value contrast, a pair of 27 adjectives were made of attractiveness, activeness, gracefulness, visibility, and tenderness dimension. Secondly, the direction of the pattern, interval, clothing style, and contrast coloration were respectively transformed according to value contrast.

• Journal of the Korean Data and Information Science Society
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• 제17권1호
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• pp.1-11
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• 2006

Data mining technique is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. It has been widely used in many applications, such that pattern analysis or recognition, data analysis, image processing, market research on off-line or on-line and so on. We analyze Gyeongnam social indicator survey data by 2001 using twostep clustering technique for environment information. The twostep clustering is classified as a partitional clustering method. We can apply these twostep clustering outputs to environmental preservation and improvement.

• The Journal of Advanced Prosthodontics
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• 제9권6호
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• pp.409-415
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• 2017

PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 전기설비
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• pp.55-56
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• 2006

In prevention and diagnostic system of GIS, pattern classification is focused on the detection of unnatural patterns in PD(Partial discharge) image data. Fractals have been used extensively to provide a description and to model mathematically many of the naturally occurring complex shapes, such as coastlines, mountain ranges, clouds, etc., and have also received increased attention in the field of image processing, for purposes of segmentation and recognition of regions and objects present in natural scenes. Among the numerous fractal features that could be defined and used for image data, fractal dimension and lacunarity have been found to be useful for recognition purposes Partial discharge(PD) occuring in GIS system is a very complex phenomenon, and more so are the shapes of the various 2-d patterns obtained during routine tests and measurements. It has been fairly well established that these pattern shapes and underlying defects causing PD have a 1:1 correspondence, and therefore methods to describe and qunatify these pattern shapes must be explored, before recognition systems based on them could be developed. The computed fractal features(fractal dimension and lacunarity) for standard library of PD data were analyzed and found to possess fairly reasonable pattern discriminating abilities. This new approach appears promising, and further research is essential before any long-term predictions can be made.

• 대한가정학회지
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• 제35권2호
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• pp.159-172
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• 1997

The purpose of this study was to investigate visual evaluation according to various methods of motif presentation and the value contrast between the motif and background. The instruments developed for this purpose were two sets of stimuli and a response scale. the first set consisted of pattern stimuli. they were eight photographs of floral patterns constructed by using six different motif presentation methods and two different value contrasts. The second set had eight clothing stimuli, photographs of clothings with the above floral patterns. The 7-point sementic differential scale of 19 bipolar adjectives was used as the response scale. The data was analyzed by factor analysis, ANOVA and T-test. The major findings from this study were as follows; 1. Four factors emerged to account for the dimensional structure of the floral pattern image. These factors were attractiveness, tenderness, attention, and maturity. among them attractiveness and tenderness were the major dimensions 2. The patterns and the clothings had no significant difference from each other in terms of attractiveness and tenderness, but in terms of maturity and attention. The pattern presented a cute and sober image, but the clothing presented mature and gorgeous image. 3. methods of motif presentation had significant effects on all the factors. The pattern by shading method gave the most attractive and soft image, the one by line the most soberest, the one by area the most gorgeous, the one by collage the most unattractive, hardest, and cutest, and the one by mosaics the maturest. 4. The value contrast between the motif and background had no significant effects on attractiveness and maturity, but on tenderness and attention. The patterns with a high valued background presented a soft image, but the one with a low valued background a hard image. The patterns with a low valued area presented gorgeous image.

• 한국데이터정보과학회:학술대회논문집
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• 한국데이터정보과학회 2005년도 추계학술대회
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• pp.59-69
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• 2005

Data mining technique is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are decision tree, association rules, clustering, neural network and so on. Clustering is the process of grouping the data into clusters so that objects within a cluster have high similarity in comparison to one another. It has been widely used in many applications, such that pattern analysis or recognition, data analysis, image processing, market research on off-line or on-line and so on. We analyze Gyeongnam social indicator survey data by 2001 using twostep clustering technique for environment information. The twostep clustering is classified as a partitional clustering method. We can apply these twostep clustering outputs to environmental preservation and improvement.

• 한국의상디자인학회지
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• 제18권1호
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• pp.121-133
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• 2016

The purpose of this study is to recognize the differences of visual evaluation by variations in pattern and silhouette of the block dresses. The stimuli are 9 samples: 3 variations of the silhouette and 3 variations of the size of pattern. The data has been obtained from 55 fashion students and has been analyzed by using Factor Analysis, Anova, Scheffe's Test and the MCA method. The results of this study are as follows; 1) The visual evaluation by pattern and silhouette of block dresses are composed of 4 factors: lovable personality, physical characteristics, boldness, and simplicity. 2) Block dresses were evaluated to display the figure more efficiently, such as looking slimmer or taller, in the order of 2nd stage, 1st stage, and 3rd stage in every silhouette. As the patterns became bigger, straight silhouette dresses were judged to have bolder, more dignified images. 3) Block dresses were evaluated to have cute and lively images in order of hourglass silhouette, straight silhouette, and fitted silhouette in every pattern. They were evaluated to appear slimmer and taller in order of hourglass silhouette, fitted silhouette, and straight silhouette in every pattern. 1st stage and 2nd stage dresses were evaluated to have a bolder, more dignified image in order of fitted silhouette, hourglass silhouette, and straight silhouette. 4) The pattern and the silhouette of the block dresses interacted with boldness. These were the boldest, most dignified image in the fitted silhouette and 1st stage, while they were not judged so in the case of the straight silhouette and 1st stage. 5) According to the MCA regarding lovable personality and physical characteristics, the silhouette affected the visual image of the block dresses more than the pattern did. According to the MCA on simplicity, the pattern affected the visual image of the block dresses more than the silhouette.

• 한국의류학회지
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• 제24권1호
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• pp.24-33
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• 2000

The purpose of this study was to investigate the characteristic and image of oriental costume design on represented among three countries, Korea, China and Japan. The specific objectives were; 1) to identify the design characteristics of oriental costume. 2) to investigate the hierarchic structure of oriental costume image and the meaning structure of oriental costume image. The stimulus were 75 costume design of contemporary costume which represented the traditional image of orient. The main survey of questionary consisted of their evaluation of the oriental costume image by 26 semantic differential bi-polar scales and the subjects were 99 female students majoring in clothing and textiles. The data were analyze by Cluster analysis. Factor analysis, ANOVA, Scheffe test. The major findings were as follows; 1) As a result of design analysis, costume design of Korea, China, Japan had differences on form, color, texture, pattern, ornament, etc. 2) The hierarchic structure of oriental costume image consisted of elegance, sexy, feminine. Through factor analysis about oriental costume image 7 factors were identified; Attention, Attractiveness, Sexiness, Activeness, Weightness, Classics, Classics, Maturity. It was found out strongly that Korean costume image was simple and comfort image, Chinese costume image was sexy and feminine image, Japanese costume image was luxurious and mature image.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제7권9호
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• pp.345-350
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• 2018

본 연구는 지정맥 인식에 중요한 정맥 패턴 특징검출을 위한 알고리즘이다. 특징검출 알고리즘은 패턴인식 시 인식결과에 많은 영향을 끼치므로 중요하다. 인식률은 손가락 위치 변화에 따라 기준도 변화되므로 저하되는 특징을 가지고 있다. 또한, 손가락에 적외선 광을 조사하여 획득한 영상은 영상 배경과 혈관 패턴을 분리하기에 어렵고, 영상 전처리과정을 수행하므로 검출시간이 증대되는 특징을 가지고 있다. 이를 위해, 제시하는 알고리즘은 영상 전처리과정이 없이 수행되어 검출 시간을 줄일 수 있고, 지정맥 영상에 SWDA(Shifted Waveform Data Analysis) 알고리즘을 적용하여 손가락 마디 위치 및 정맥 패턴 검출이 가능한 특징을 가지고 있다. 적외선 투과율이 낮아 상대적으로 어두운 정맥 영상도 검출 오류 최소화가 가능한 특징을 보였다. 또한, 손가락 마디 위치는 분류 단계에서 기준으로 활용하면 인식률 저하를 보완할 수 있는 특징을 가지고 있다. 추후 손바닥, 손목 등 신체 여러 인식분야에 제안하는 알고리즘을 적용한다면 생체 특징 검출 정확도 향상 및 인식 수행 시간 감소에 기여할 것으로 기대된다.

• 복식
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• 제50권2호
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• pp.151-165
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• 2000

This study was to find out clothing design preferences, according to the clothing self-image of elderly women and to grasp the variety on clothing of elderly women and thereby to help in merchandise production planning and putting the brands into markets and to provide data for establishing a sales strategy a d to itemize women with the goods which can satisfy the desire and taste of consumer groups in the quality market. For this purpose , various researches as above were conducted .The object of this study was a total of 488 elderly women above full 55 from an elderly women and who lived in downtown Pusan. The data were analysed by using MANOVA, ANOVA , factors analysis and frequency analysis, and the Cronbach α was also applied . The conclusions made based on the theoretical background and the result of questionnaire surveys are as follows ; 1. The realistic self-image of clothing showed a similar pattern by age. 50's and 60's showed little difference by item but 70's was greater in variation between items compared to 60's. The response to each item was that most people answered "common" and they showed a pattern that responded low only in items of 'colorful' , individualistic', 'susceptible to fashion'. A similar pattern was shown by age band also in the ideal self-image and the response to each item appeared higher than in the realistic self-image , and also in items of 'colorful', 'individualistic ' , 'susceptible to fashion' the response appeared low and showed a unity. 2. The results of clothing design preferences examined on the self-image according to age are as follows ; 1) Fro jacket in the realistic self-image , 50's and 60's preferred 'tailed collar' , 'set-in sleeve', 'hips long' and 'plain jacket' and 70's agreed to the design preferences in the items except 'open collar' and also in the idealistic self-image , the degree of preference was same. 2) For skirt in the realistic self-image , 50's and 60's preferred 'tight skirt', 'normal length' , 'plain skirt' and it was appeared that 70's preferred 'pleat skirt' , 'medium length' , 'plain skirt'. Also in the idealistic self-image , the degree of preference was same. 3) For blouse in the realistic self-image, 50's preferred 'open collar', 'round neck line' , 'long set-in sleeve' , 'plain separation belt', 'open front', 'zipper' ad 60's agreed to the favorite designs with 50's except puff sleeve, and 70's appeared to prefer fastening buttons without belt. In the designs preferred in the idealistic self-image, 50's agreed with 50's of the realistic self-image and for 60's , the designs except puff sleeve type and no belt type agreed to 50's and 70's except puff sleeve agreed with 70's of the realistic self-image in their design preferences.