• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.533-535
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• 2006

In this paper, we experiment a face recognition rate of the shaded faces except to low dimension feature vectors; first, second, third dimension. It is known to robust the face recognition against illumination. But, it isn't obvious what is effect to recognition in terms of low dimension. We are analysis to the effect of low dimension(first, second, third dimension, and combination of these) under the shaded faces.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.23 no.1
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• pp.14-23
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• 2015

This study applied the network text analysis to reveal the scope and trends of low cost carrier studies. We analyzed low cost carrier research published in Korean journals and news articles. The results showed that there are three clusters in terms of research topics. First dimension consists of articles investigating growth in the low cost carrier industry. The second dimension is associated with service characteristics. The last dimension has strong ties organizational and human resource dimension. We run Krkwic, Krtitle, Netdraw, and Ucinet 6.0 to conduct the network text analysis. This study suggests the direction of low cost carrier research in the future.

• Journal of Fisheries and Marine Sciences Education
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• v.24 no.3
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• pp.436-445
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• 2012

The study aims to analyze of factors influencing on the mentoring participation of college student for low-income children using Cooper's multiple lense. The multidimensional policy analysis model is composed of the normative dimension, structural dimension, constructive dimension, technological dimension. The results of the research are as follows. First, the education difference solution shows the meaningful positive relationship in the category of normative dimension. Second, the budget and support setup shows the meaningful positive relationship in the category of technological dimension. But other factors do not show the meaningful influence.

• Speech Sciences
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• v.14 no.4
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• pp.81-98
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• 2007

This study aims to investigate whether shortened vowel duration conditioned by a following voiceless stop induces phonetic reduction of vowel space in English, and whether the reduction appears more in the height dimension than in the backness dimension (Lindblom, 1963; Flemming, 2005). Fifteen native speakers of American English read minimal pairs containing ten American English vowels in [bVd] and [bVt] syllables in a carrier phrase. All the subjects produced shorter vowels in the voiceless than in the voiced context. However, a reduction in vowel space and a raising of low vowels due to the shortened vowel duration were generally not found. To the contrary, the speakers tended to exhibit even more lowering of low vowels in the voiceless context, and vowel space was more commonly compressed in the backness dimension than in the height dimension. Many speakers, in particular, demonstrated fronting of the high back vowel [u] in the voiceless context. It was interpreted that due to a relatively large number of English vowels in the narrower low vowel space, the raising of low vowels may give rise to confusion in vowel contrasts, and therefore the degree of phonetic vowel reduction is restricted in that region. On the other hand, the high vowel region, being relatively spacious in English, allows a certain degree of phonetic vowel reduction in the F2 dimension. It is possible that heavy requirements for maintaining vowel contrasts may cause speakers to overachieve vowel target values, especially when faced with vowels which are difficult to distinguish due to shortened vowel duration, leading to an over-lowering of the low vowels.

• Geomechanics and Engineering
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• v.4 no.3
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• pp.219-227
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• 2012

Pavement management systems require systematic monitoring of pavement surfaces to determine preventive and corrective maintenance. The process involves the accumulation of large amounts of visual data, typically obtained from site visitation. The pavement surface condition is then correlated to a pavement distress index that is based on a scoring system previously established by state or federal agencies. The scoring system determines if the pavement section requires maintenance, overlay or reconstruction. One of the surface distresses forming part of the overall pavement distress index is the Alligator Crack Index (AC Index). The AC Index involves the visual evaluation of the crack severity of a section of a pavement as being low, medium, or high. This evaluation is then integrated into a formula in order to obtain the AC Index. In this study a quantification of the visual evaluation of the severity of alligator cracking is carried out using photographs and the fractal dimension concept from fractal theory. Pavements with low levels of cracking were found to have a fractal dimension equal to 1.051. Pavements with moderate levels of cracking had a fractal dimension equal to 1.1754. Pavements with high degrees of cracking had a fractal dimension that varied between 1.5037 (high) and 1.7111 (very high). Pavements with a level of cracking equal to 1.8976 represented pavements that disintegrated and developed potholes. Thus, the visual evaluation of the state of cracking of a pavement (the AC Index) could be enhanced with the use of the fractal dimension concept from fractal theory.

• Journal of the Korean Society of Clothing and Textiles
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• v.19 no.6
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• pp.1040-1050
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• 1995

The Purposes of this study were to investigate the choice dimensions in purchasing the medium-low priced casual clothing, the influence of them on the preference of medium-low priced casual clothing, and the brand images of six medium-low priced casual clothing using the perceptual map. The Questionnaires were administered to 540 college students living in Seoul (340) and County of Chungnam(200). The data were analyzed by frequency, factor analysis and multiple regression analysis. The results were summarized as follows: 1) The choice dimensions in purchasing the medium-low price casual clothing were identified as exclusiveness/style, intrinsic characteristics, promotion and price/distance. 2) Exclusiveness/style dimension influenced most on the preference of medium-low priced casual, intrinsic characteristics, price/distance dimension were followed. Promotion dimension appeared to have an insignificant influence. These results were consistent in both Seoul and the County of Chungnam. 3) Perceptual mapping showed Hunt and J-vim had the best brand images, Maypole and Omphalos were followed. Tipi Cosi and I-land appeared to have the worst brand image. The college students living in the County of Chungnam perceived that all six brands of medium low priced casual clothing to be exclusive in their style. In addition, it was perceived less promoted, more expensive and farther than Seoul counterparts.

• Journal of the Korean Society of Costume
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• v.42
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• pp.231-242
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• 1999

The purpose of this study was to classified the dimension of clothing involvement and the clothing loyalty of 256 male and 271 female college students in Taegu area. data was analyzed by frequency percentage mean factor analysis reliability test validity test correlation and ANOVA by using SPSS/pc. The results of this study were as follows; 1. the dimension of clothing involvement was classified into four factors such as clothing interest dimension clothing symbolism dimension clothing economics dimension and clothing individuality dimension. 2. In the relationship between brand loyalty and four factors of clothing involvement there was positive appearance involvement there was positive appearance in clothing interest clothing symbolism and clothing individuality with brand loyalty but negative appearance in clothing economics. The correlation between clothing interest dimension and clothing symbolism dimension clothing interest dimension and clothing individuality dimension clothing symbolism dimension and clothing economics dimension clothing symbolism dimension and clothing individuality dimension was positive. And there was no relation between clothing economics dimension and clothing individuality dimension clothing economics dimension and clothing interest dimension. 3. According to individual character females than males the group aged 18 to 20 and 24 to 27 than the group aged 21 to 23 showed more active tendency to the clothing involvement dimension and also highertendency to brand loyalty. The students with a major in humanities science than the students with a major in natural science and more expending consumers on clothes showed more active tendency to the clothing symbolism dimension and higher tendency to brand loyalty. 4. On the whole the attitude of consumers on clothes was very high in the clothing interest dimension common in the clothing individuality dimension and very low in the clothing economics dimension.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.2
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• pp.522-539
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• 2021

In order to solve the problems of the existing audio fingerprint method when extracting audio fingerprints from long speech segments, such as too large fingerprint dimension, poor robustness, and low retrieval accuracy and efficiency, a robust audio fingerprint retrieval method based on feature dimension reduction and feature combination is proposed. Firstly, the Mel-frequency cepstral coefficient (MFCC) and linear prediction cepstrum coefficient (LPCC) of the original speech are extracted respectively, and the MFCC feature matrix and LPCC feature matrix are combined. Secondly, the feature dimension reduction method based on information entropy is used for column dimension reduction, and the feature matrix after dimension reduction is used for row dimension reduction based on energy feature dimension reduction method. Finally, the audio fingerprint is constructed by using the feature combination matrix after dimension reduction. When speech's user retrieval, the normalized Hamming distance algorithm is used for matching retrieval. Experiment results show that the proposed method has smaller audio fingerprint dimension and better robustness for long speech segments, and has higher retrieval efficiency while maintaining a higher recall rate and precision rate.

• Journal of the Korean Society of Costume
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• v.39
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• pp.283-299
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• 1998

The present study is to analyze the dimensions of affective responses according to the types of appeal in underwear advertisements and to find out the influences of affective res-ponses on the attitudes toward advertisement and brands. The research has been made by normative-descriptive survey method with the sample of 654 consumers residing in Seoul and Incheon. The data gaathered was analyzed by the methods of means, standard deviation, ANOVA, factor analysis and regression. The result are as follows : 1. There are 4 dimensions of affective responses ; Emotional dimension, Negative dimen-sion, Upbeat-activation dimension and Sexual activation dimension. 2. Affective responses to the advertising were different according to the characteristics of the consumers. According to the consumer's sex, there are significant differences in each dimension of their affective responses. To the sex appeal advertisement, man show higher degree of affective responses in Emotional, Upbeat-activation and Sexual-activation dim-ensions, while women show higher degree of affective responses in Negative dimension. 3. In case of female consumers, there are significant differences in affective responses to the both appeal type of advertisements according to consumer's age. As the age is increasing. Emotional dimension and Sexual-activation dimension are increasing, but Negative dimension is decreasing in the Ads with sex appeal. In particular, the 19∼24s age group shows strong responses in the Emotional dimension, Upbeat-activation dimension and Sexual-activation dimension to Ads with sex appeal, while it shows the lowest affective responses in Negative dimension. It represents the 19-24s age group is the most positive one to the under-wear advertisements with sex appeal. Consequently, it is proved that the Ads with sex appeal focusing on this age group can be one of the most effective advertising plans. 4. The involvement gets higher, Upbeat-ac-tivation dimension and Sexual-activation dimension are increasing both in males and female groups. But Negative dimension is in-creasing in the female consumer group of low involvement. 5. The attitudes toward advertisements and brands are comparatively stronger in the advertisements using sex appeal type. Regardless of types of appeal in the advertisements, there is a significant difference in their attitudes tow-ard Ads between male and female consumer groups. When Ads are sexual, attitudes toward Ads and Brands are stronger in the female consumer group. But males consumers show com-paratively strong attitudes toward the advertis-ements and brands in both types of appeal. 6. The age of consumers doesn't make any significant difference in their attitudes toward advertisements and brands in both types of appeal. 7. According to the involvement level of the consumers, there are significant differences in their attitudes toward advertisements. In the groups of low involvement, the female consumers show more favorite attitudes toward the advertisements with sex appeal, while the male group show more favorite attitudes toward the non-sex appeal advertisement. But there is no significant difference in consumer's attitude toward brands according to the types of appeal of the advertisement. 8. The affective responses of the consumers caused by the underwear advertisements have a respectable influence on their attitudes toward the advertisements and brands. This research represents that the advertisers should try to arise consumer's positive affective responses such as pleasant, happy, cheerful and warm-hearted emotions by the advertisements. Based on the above results of the research, it can be said that the consumer's affective responses have a strong effect not only on their attitudes toward adver-tisements but on those toward attitude toward the brands.

• Communications for Statistical Applications and Methods
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• v.31 no.2
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• pp.179-189
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• 2024

In multivariate regression with a high-dimensional response Y ∈ ℝ^r and a relatively low-dimensional predictor X ∈ ℝ^p (where r ≥ 2), the statistical analysis of such data presents significant challenges due to the exponential increase in the number of parameters as the dimension of the response grows. Most existing dimension reduction techniques primarily focus on reducing the dimension of the predictors (X), not the dimension of the response variable (Y). Yoo and Cook (2008) introduced a response dimension reduction method that preserves information about the conditional mean E(Y | X). Building upon this foundational work, Yoo (2018) proposed two semi-parametric methods, principal response reduction (PRR) and principal fitted response reduction (PFRR), then expanded these methods to unstructured principal fitted response reduction (UPFRR) (Yoo, 2019). This paper reviews these four response dimension reduction methodologies mentioned above. In addition, it introduces the implementation of the mbrdr package in R. The mbrdr is a unique tool in the R community, as it is specifically designed for response dimension reduction, setting it apart from existing dimension reduction packages that focus solely on predictors.