• 제목/요약/키워드: analysis pattern

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베이스볼 캡(Baseball cap)의 시판 제품 분석 (Analysis Marketing of Products in Baseball Cap)

  • 김나영;장정아
    • 한국의류산업학회지
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    • 제11권6호
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    • pp.925-933
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    • 2009
  • This research was carried out by analyzing a form and composition in baseball cap targeting 97 marketing products, and we have typified it by frequency analysis. We have carried out comparing and wearing test between comparative pattern and the most preferred three products of sports brand, fashion brand A, and fashion brand B (flex fit). And also, in order to provide basic indices for developing new pattern, we have carried out analysis of variance. 1. As a result of analyzing a form in baseball cap, the most general pattern type for crown is central cutting with six pieces. In a cap, a basic type with no decoration was the most general. In the size adjustment and decoration, belt type and embroidery type (front or side embroidery of the crown) was the most common, respectively. 2. As a result of comparing and analyzing six-piece typed crown pattern, the comparative pattern was the same and symmetric in size and form of three patterns in front, side, and back. However, the patterns of marketing products of three brands were different in size and form of three patterns in front, side, and back. The patterns of sports brand were the largest in crown height and width, thus it was good at providing activity and motion. The patterns of fashion brand A were the shortest in the crown length and well-curved in front pattern, so it was well-matched with head shape. The patterns of fashion brand B were well-described back side of head since its convex and long patterns in the back head. 3. As a result of wearing test by five-point Likert scale among brand, pattern of fashion brand B outperformed the others since it was well-matched with head shape. In the cap, pattern of fashion brand A is the most preferred which was 7.5 cm of length and 18cm of width.

한열(寒熱) 변증에 따른 한의 외용 치료제 비염고의 치료 효과 : 하위 그룹 분석 (Effectiveness of herbal ointment Biyeom-go according to cold-heat pattern identification: a subgroup analysis on patients with rhinitis)

  • 손미주;이동효
    • 한방안이비인후피부과학회지
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    • 제32권4호
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    • pp.29-40
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    • 2019
  • Objectives : Hwanglyeonhaedok-tang(黃連解毒湯) is a representative herbal formula with "clear heat(淸熱)" effects. The aim of this study was to evaluate the effects of Hwanglyeonhaedok-tang-based intranasal herbal ointment Biyeom-go based on the cold and heat pattern identification questionnaire(CHPIQ). Methods : We performed a subgroup analysis of the previously published prospective observational study. A total of 58 patients with rhinitis were administered Biyeom-go for 4 weeks, and its effects on the Total Nasal Symptom Score(TNSS), Mini Rhinoconjunctivitis Quality of Life Questionnaire(Mini-RQLQ) score, and nasal endoscopy index score were analyzed based on CHPIQ. Results : Among the 58 patients, the heat and non-heat patterns were shown by 39 and 19 patients, respectively, while the cold and non-cold patterns were shown by 46 and 12 patients, respectively. The change in TNSS from baseline negatively correlated with the heat pattern score(p=0.011). Improvement in TNSS was greater in the heat pattern group than in the non-heat pattern group, with a borderline significant difference(p=0.07). Mini-RQLQ and nasal endoscopy index scores tended to be lower in the heat pattern group than in the non-heat pattern group, but without a statistically significant difference. Conclusion : The findings indicate that CHPIQ is a useful tool for the diagnostic and prognostic evaluation of patients with rhinitis. This study provides fundamental evidence of the close association between the cold-heat pattern in patients with rhinitis and the treatment effects of Biyeom-go.

대형 의류벤더의 테크니컬 디자이너 실무 분석 (Analysis of Practical Tasks of Technical Designers of Big Vendors)

  • 하희정
    • Human Ecology Research
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    • 제55권5호
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    • pp.555-566
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    • 2017
  • This study analyzes the practical tasks and required competency for technical designers to provide basic data on the training of domestic technical designers. The survey was applied to 21 technical designers of big vendors as well as investigated tasks, task flow, important tasks, time-consuming tasks, and required competencies. The results of the study are as follows. First, the technical designers were in charge of several brands of buyers and distributors of fashion companies, or several lines of the same brand. The main production items were cut and sewn knits. Second, the flow of task and tasks were in the order of buyer comments analysis, sloper decision to matching style, sewing specification, productive sewing method research, size specification suggestion, pattern correction comments, construction decision to matching style & fabric, sample evaluations, fit approval, business e-mail writing, specification & grading confirmation, and communication with buyer. Third, five tasks (analysis of buyer comments analysis, communication with buyer, pattern correction comments, productive sewing methods research, sample evaluation) were important and time-consuming tasks. Fourth, reeducation was required in order of sewing, pattern, English, fabric, and fitting. Fifth, competencies to be a technical designers were fitting, pattern correction, size specification & grading, construction & sewing specification, sewing terms & techniques, and communication skills. In conclusion, technical designer training should focus on technology-based instruction, such as sample evaluation, fitting, pattern correction, and productive sewing methods research of cut and sewn knits.

The Effects of industrial workers' food choice attribute on sugar intake pattern and job satisfaction with Structural Equcation Model

  • Park, Young Il;Joo, Nami
    • Nutrition Research and Practice
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    • 제10권4호
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    • pp.464-470
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    • 2016
  • BACKGROUND/OBJECTIVES: This research analyzes the effects of the food choices of industrial workers according to their sugar intake pattern on their job satisfaction through the construction of a model on the relationship between sugar intake pattern and job satisfaction. SUBJECTS/METHODS: Surveys were collected from May to July 2015. A statistical analysis of the 775 surveys from Kyungsangnam-do was conducted using SPSS13.0 for Windows and SEM was performed using the AMOS 5.0 statistics package. RESULTS: The reliability of the data was confirmed by an exploratory factor analysis through a Cronbach's alpha coefficient, and the measurement model was proven to be appropriate by a confirmatory factor analysis in conjunction with AMOS. The results of factor analysis on food choice, sugar intake pattern and job satisfaction were categorized into five categories. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all factors except confection (0.516) and dairy products (0.570). The multicollinearity results did not indicate a problem between the variables since the highest correlation coefficient was 0.494 (P < 0.01). In an attempt to study the sugar intake pattern in accordance with the food choices and job satisfaction of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests confirmed that the model satisfied the recommended levels for the goodness of fit index, and thus, the overall research model was proven to be appropriate.

구문분석과 기계학습 기반 하이브리드 텍스트 논조 자동분석 (Hybrid Approach to Sentiment Analysis based on Syntactic Analysis and Machine Learning)

  • 홍문표;신미영;박신혜;이형민
    • 한국언어정보학회지:언어와정보
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    • 제14권2호
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    • pp.159-181
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    • 2010
  • This paper presents a hybrid approach to the sentiment analysis of online texts. The sentiment of a text refers to the feelings that the author of a text has towards a certain topic. Many existing approaches employ either a pattern-based approach or a machine learning based approach. The former shows relatively high precision in classifying the sentiments, but suffers from the data sparseness problem, i.e. the lack of patterns. The latter approach shows relatively lower precision, but 100% recall. The approach presented in the current work adopts the merits of both approaches. It combines the pattern-based approach with the machine learning based approach, so that the relatively high precision and high recall can be maintained. Our experiment shows that the hybrid approach improves the F-measure score for more than 50% in comparison with the pattern-based approach and for around 1% comparing with the machine learning based approach. The numerical improvement from the machine learning based approach might not seem to be quite encouraging, but the fact that in the current approach not only the sentiment or the polarity information of sentences but also the additional information such as target of sentiments can be classified makes the current approach promising.

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시판 부직포 전신 보호복의 패턴형상 및 유형분석 (Analysis of Pattern Shape and Types for Non-woven Protective Coverall on Domestic Market)

  • 문지현;전은경
    • 한국의류학회지
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    • 제40권2호
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    • pp.273-286
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    • 2016
  • Protective coveralls are very uncomfortable to work in comparison to ordinary top and bottom separated clothing. A pattern maker has to consider the size of the human body and human motion range when designing protective coverall patterns. It is difficult to produce well-fitted coveralls because of the lack of readymade patterns despite the increased need for protective coveralls at various jobs. Patterns are decomposed by unsewing 18 products in the domestic market to provide the fundamental information on developing patterns for protective coveralls. The characteristics and differences of pattern types are compared after grouping patterns with information taken from the analysis of the shapes and measurements of patterns from the acquired patterns. The results of the analysis showed that on-market protective coveralls were less curved but much linear when compared to ordinary clothing patterns; however, the breasts and crotch circumferences were very loose and bulky, which is quite different from the other all-in one style working clothes. For the pattern shapes, patterns are classified into waistline-seamed and bustline-seamed types. The result of the hierarchical cluster analysis with 27 measurement variables were classified into four groups. Types by shape and measurements were related to each other; therefore, we expect the information of each type to be used in developing protective clothing patterns.

주관절 근육의 활성화 유형에 대한 정량적 분석 (A Quantitative Analysis of Activation Pattern of Active Elbow Muscles)

  • 이두형;이영석;이진;김성환
    • 대한의용생체공학회:의공학회지
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    • 제18권4호
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    • pp.413-420
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    • 1997
  • In this paper, we analyzed the contraction patterns of active elbow muscles during isometric, concentric and eccentric contraction. The analysis parameters consist of frequency domain parameters (mean frequency, median frequency, peak frequency, peak power, skewness, kurtosis) and time domain paraseters (zero crossing, positive maxima, integrated EMG). The results of this study were as follows; The BR/BB of isometric contraction appeared to be Venter as the elbow joint was more extended. The BR /BB during concentric and eccentric contraction tended to increase with more extension of the elbow joint angle, but there was no significant difference between concentric and eccentric contraction. Further, the EMG power spectrum due to the type of contraction were different betwen eccentric and concentric contraction. According to the results, it was found that the activation pattern in elbow flexor muscles was different during three different muscle contraction pattern. Therefore, elbow flexor muscles should not be considered a single functioning unit. Especially, at the time domain analysis, IEMG is a dominant parameter for analysis of activation patterns, and the skewness kurtosis can be useful parameters in functional recognition for prosthesis control purpose.

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패턴 분야의 국가직무능력표준 개발에 관한 연구 (Study on Development of National Competency Standards (NCS) of Pattern)

  • 곽연신;서승희
    • 패션비즈니스
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    • 제18권5호
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    • pp.144-158
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    • 2014
  • National Competency Standards(NCS) is to systemize the competency that is necessary for performing duties in industrial fields and to utilize synthetically duty, vocational education training, and qualification at the national level. The purpose of this study is to analyze the process of NCS development and verification, which systemizes competency units and competency unit elements through the analysis of duty in pattern field. It is to cultivate competent people to be able to promote the development of pattern industry ultimately through being a complementary to educational circles and industry then to give them practical knowledge that is demanded in the field. Furthermore, it is to be utilized as a fundamental data for reforming the system of duty competency evaluation so as to manage personnel career systematically and to improve their competency. Focus Group Interview(FGI) was adapted as the method of this study, which was proceeded 3 times, and validity of the drawn result is verified through expert questionnaire survey. Research result, which is competency units, is 10 as follows; Fit trend analysis, Analysis of sample garment Specification sheet, Pattern making for sample garment, Pattern making for manufacturing garment, Creation of sewing specification, Instruction of manufacturing technique, Sample garment Inspection for quality control, Grading, Calculation of the required material quantities, Quality control.

A Study on Pattern Analysis of Odorous Substances with a Single Gas Sensor

  • Kim, Han-Soo;Choi, Il-Hwan;Kim, Sun-Tae
    • 센서학회지
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    • 제25권6호
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    • pp.423-430
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    • 2016
  • This study used a single metal oxide semiconductor (MOS) sensor to classify the major odorous gases hydrogen sulfide ($H_2S$), ammonia ($NH_3$) and toluene ($C_6H_5CH_3$). In order to classify these odorous substances, the voltage on the MOS sensor heater was gradually reduced in 0.5 V steps 5.0 V to examine the changes to the response by the cooling effect on the sensor as the voltage decreased. The hydrogen sulfide gas showed the highest sensitivity compared to odorless air under approximately 2.5 V and the ammonia and toluene gases showed the highest sensitivity under approximately 5.0 V. In other words, the hydrogen sulfide gas reacted better in the low temperature range of the MOS sensor, and the ammonia and toluene gases reacted better in the high-temperature range. In order to analyze the response characteristics of the MOS sensor by temperature in a pattern, a two-dimensional (2D) x-y pattern analysis was introduced to clearly classify the hydrogen sulfide, ammonia, and toluene gases. The hydrogen sulfide gas was identified by a straight line with a slope of 1.73, whereas the ammonia gas had a slope of 0.05 and the toluene gas had a slope of 0.52. Therefore, the 2D x-y pattern analysis is suggested as a new way to classify these odorous substances.

Pattern Recognition for Typification of Whiskies and Brandies in the Volatile Components using Gas Chromatographic Data

  • Myoung, Sungmin;Oh, Chang-Hwan
    • 한국컴퓨터정보학회논문지
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    • 제21권5호
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    • pp.167-175
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    • 2016
  • The volatile component analysis of 82 commercialized liquors(44 samples of single malt whisky, 20 samples of blended whisky and 18 samples of brandy) was carried out by gas chromatography after liquid-liquid extraction with dichloromethane. Pattern recognition techniques such as principle component analysis(PCA), cluster analysis(CA), linear discriminant analysis(LDA) and partial least square discriminant analysis(PLSDA) were applied for the discrimination of different liquor categories. Classification rules were validated by considering sensitivity and specificity of each class. Both techniques, LDA and PLSDA, gave 100% sensitivity and specificity for all of the categories. These results suggested that the common characteristics and identities as typification of whiskies and brandys was founded by using multivariate data analysis method.