• Phonetics and Speech Sciences
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• v.15 no.4
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• pp.101-107
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• 2023

This study aims to propose an automatic method of detecting vowel variation in the Korean dialects of Gyeong-sang and Jeol-la. The method is based on error patterns extracted using phone recognition. Canonical and recognized phone sequences are compared, and statistical analyses distinguish the vowels appearing in both dialects, the dialect-common vowels, and the vowels with high mismatch rates for each dialect. The dialect-common vowels show monophthongization of diphthongs. The vowels unique to the dialects are /we/ to [e] and /ʌ/ to [ɰ] for Gyeong-sang dialect, and /ɰi/ to [ɯ] in Jeol-la dialect. These results corroborate previous dialectology reports regarding phonetic realization of the Korean dialects. The current method provides a possibility of automatic explanation of the dialect patterns.

• Journal of the Korean Society of Clothing and Textiles
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• v.12 no.1 s.26
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• pp.93-114
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• 1988

The purpose of this study was to develop pattern drafting methods of bodice, sleeve and skirt for Korean women at the age of 18 to 34. The study procedures and results were as follows; 1. 305 women aged 18 to 34 were measured on 49 items. 56 items including 49 measured and 7 calculated items were analyzed statistically. 2. New pattern drafting methods were developed based on the results of the data analysis. Basic shells constructed from the patterns were examined through fitting tests for completion. 3. The sensory test was applied to evaluate the new pattern for women by comparing it with one of the most used conventional patterns. An original rating scale was developed and used for the evaluation. According to a statistical analysis of the result of the 53 items on the questionnaire, all the items showed significant difference ($\alpha{\leqq}0.01$ or $\alpha{\leqq}0.05$) between the two, with the new pattern having higher scores. The new drafting method proved to be better fitted at all 53 items, and to be comfortable.

• Preventive Nutrition and Food Science
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• v.17 no.1
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• pp.71-77
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• 2012

Hangwa is a traditional food, corresponding to the current consumption trend, in need of marketing strategies to extend its consumption. Therefore, the purpose of this study was to analyze consumers’ consumption patterns and perception of Hangwa to increase consumption in the market. A questionnaire was sent to 250 consumers by e-mail from Oct 8~23, 2009 and the data from 231 persons were analyzed in this study. Statistical, descriptive, paired samples t-test, and importance-performance analyses were conducted using SPSS WIN 17.0. According to the results, Hangwa was purchased mainly 'for present' (39.8%) and the main reasons for buying it were 'traditional image' (33.3%) and 'taste' (22.5%). When importance and performance of attributes considered in purchasing Hangwa were evaluated, performance was assessed to be lower than importance for all attributes. The attributes in the first quadrant with a high importance and a high performance were ‘a sanitary process’, ‘a rigorous quality mark’ and ‘taste’, which were related with quality of the products. In addition, those with a high importance but a low performance were ‘popularization through advertisement’, ‘promotion through mass media’, ‘conversion of thought on traditional foods’, ‘a reasonable price’ and ‘a wide range of price’. In conclusion, Hangwa manufacturers need to diversify products and extend the expiration date based on technologies to promote its consumption. In terms of price, Hangwa should become more available by lowering the price barrier for consumers who are sensitive to price.

• The Journal of Korean Medicine
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• v.27 no.2 s.66
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• pp.134-144
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• 2006

Tongue diagnosis is an important diagnostic method in traditional Oriental medicine. It has been especially accepted that quantitative analysis of tongue images allows the accurate diagnosis of the exterior-interior and cold-heat patterns of a patient. However, to ensure stable and reliable results, the color reproduction of such images must first be error-tree. Moreover, tongue diagnosis is much influenced by the surrounding illumination and subjective color recognition, so it has to be performed objectively and quantitatively using a digital diagnostic machine. In this study, 457 tongue images of outpatients were collected using the Digital Tongue Inspection System. Through statistical analysis, the result shows that the heat and cold patterns can be distinguished clearly based on the hue value of the tongue images. The average hue value (1.00) of the tongue's image in the cold pattern is higher than that in the heat pattern (0.99).

• Ocean and Polar Research
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• v.23 no.4
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• pp.323-335
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• 2001

Distribution features of foulers attached on 28 ships of 6 main shipping routes (SR) of the Far East Sea Basin were analyzed using various statistical methods. Collections obtained during 1976-1990 in the expeditions by the Institute of Marine Biology were used for the analyses. Samples were taken from the ships during anchorage by SCUBA diving and from dry-docks of Vladivostok ship-repairing yard. In all cases, the distribution patterns of most animals and algal species showed clear contagious patterns. Total biomass of fouling organisms and biomass of attached animals frequently increased along the horizontal direction of ship hulls, from the stem to the sternpost. Animal and algal species were usually located at different sites of the hulls. According to the increasing floating speed, there was, a clear tendency of the displacement in main fouling biomass from the stem to the stem. Any generalizations and deductions concerning the distribution patterns of the foulers from the same SR ships are not always substantiated, but one may see some similarities of the fouler distributions in many cases. Micro-scale turbulence generated by water flow around a ship hull for the distribution of fouling organisms is discussed.

• The Research Journal of the Costume Culture
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• v.13 no.6 s.59
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• pp.896-909
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• 2005

In need of studies on the kinds and structure of thread, the biggest variable factor in knitwear patterns, this study attempts: to examine the physical properties by thread type to basically establish systematic data in order to utilize various mixture and structure of yarn and to contribute to the development of optical patterns by building a systemic and scientific methods to produce knit wear patterns though a statistical analysis of the relation between the variations and physical properties. The results is as follows: with time, a feature of knit, which causes instability making it difficult to maintain the original shape, related to material properties, the weight and expansibility recovery rate have the greatest influence on the variation of wale lengths, though the amount varies by material. The variation of course contraction is closely related to density, the dense fabrics showing the highest values, due to the bust of the human body, the wale length variation of the front is greater than that of the back, by a regression analysis of material properties and the variations is obtained showing the weight, density and expansibility recovery rate have the greatest influence on the wale extension and course contraction of knit.

• Journal of Environmental Science International
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• v.18 no.2
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• pp.169-176
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• 2009

The present study observed temperature in order to identify factors affecting temperature by zoning and to measure the intensity of their impact on temperature. The empirical results of analyzing observed data are as follows. In order to make up for multicollinearity, a problem in multiple regression analysis, and to give more specific explanations, this study conducted factor analysis and obtained desirable data with adequacy and statistical significance. In the correlation matrix, factors decreasing temperature were planted areas, water surfaces and grasslands, and those increasing temperature were bare grounds, paved areas, and building area. According to land cover patterns, commercial areas had the highest temperature lowering effect. Through the rotated component matrix, we found that factors are grouped into those decreasing temperature, those increasing temperature, and those with low significance in increasing or decreasing temperature. In order to solve the problem of multicollinearity in multiple regression analysis, we performed factor analysis between the land use patterns and temperature and confirmed the usability of factor analysis as a new analysis method in urban heat island.

• Fibers and Polymers
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• v.5 no.3
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• pp.245-251
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• 2004

Poly(trimethylene terephthalate-co-trimethylene 2,6-naphthalate)s (P(TT-co-TN)s) with various copolymer composition were synthesized, and their chain structure, thermal property and crystalline structure were investigated by using $^1$H-NMR spectroscopy, differential scanning calorimetry (DSC) and wide-angle X-ray diffraction (WAXD), respectively. It was found from sequence analysis that all the P(TT-co-TN) copolymers synthesized have a statistical random distribution of TT and TN units. It was also observed from DSC thermograms that the glass transition temperature increases linearly with increasing the TN comonomer content, whereas the melting temperature of copolymer decreases with increasing the corresponding comonomer content in respective PTT- and PTN-based copolymer, showing pseudo-eutectic melting behavior. All the samples melt-crystallized isothermally except for P(TT-co-66 mol % TN) exhibit multiple melting endotherms and clear X-ray diffraction patterns. The multiple melting behavior originates from the dual lamellar population and/or the melting-recrystallization-remelting. The X-ray diffraction patterns are largely divided into two classes depending on the copolymer composition, i.e., PTT and PTN $\beta$-form diffraction patterns, without exhibiting cocrystallization.

• Journal of the Korean Home Economics Association
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• v.44 no.6 s.220
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• pp.163-174
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• 2006

The purpose of this research was to examine the level and trends in household clothing expenditure in Korea. Raw data sets produced by the National Statistical Office from the Family Income and Expenditure Survey from 1991 to 2004 were used to support time-series and cross-sectional analyses. The clothing expenditures decreased severely and quickly during the economic crisis of late 1997 through 1998, then increased slowly after the economic crisis until 2003, only to slightly decrease again in 2004. The ratio of clothing expenditure to total household expenditure decreased from 8.03% in 1991 to 5.11% in 2004. This decrease in relative clothing expenditure was greater in the lower income group than in the middle and high income groups. Clothing expenditure patterns were unique and differed from other household expenditures. Although the economic crisis in the late 1990s affected Korean consumers' clothing expenditure, clothing expenditure patterns showed a more fundamental and structural change from 1991 to 2004, with the overall decrease in such expenditure resulting from the concurrent increase in educational and information-communication related expenditures. Clothing expenditure was shown to be luxurious through cross-sectional analysis, but necessary through time-series analysis.

• Journal of Information Processing Systems
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• v.12 no.3
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• pp.468-488
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• 2016

The paper proposes a novel framework for 3D face verification using dimensionality reduction based on highly distinctive local features in the presence of illumination and expression variations. The histograms of efficient local descriptors are used to represent distinctively the facial images. For this purpose, different local descriptors are evaluated, Local Binary Patterns (LBP), Three-Patch Local Binary Patterns (TPLBP), Four-Patch Local Binary Patterns (FPLBP), Binarized Statistical Image Features (BSIF) and Local Phase Quantization (LPQ). Furthermore, experiments on the combinations of the four local descriptors at feature level using simply histograms concatenation are provided. The performance of the proposed approach is evaluated with different dimensionality reduction algorithms: Principal Component Analysis (PCA), Orthogonal Locality Preserving Projection (OLPP) and the combined PCA+EFM (Enhanced Fisher linear discriminate Model). Finally, multi-class Support Vector Machine (SVM) is used as a classifier to carry out the verification between imposters and customers. The proposed method has been tested on CASIA-3D face database and the experimental results show that our method achieves a high verification performance.