• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.569-582
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• 2015

This study deals with six spa touristy places to analyze the similarity in image and selection factor recognition through multidimensional scaling method. The result is as following. First, as a result of analysis in the similarity in Image of the 6 touristy Spa places, each "Asan and Onyang" and "Suanbo and Ducksan" form different similar image groups. However, Yoosung does not share the similarity in Image that other Spa places own. Second, as a result of analysis of selection factors in the six touristy spa places, it is found out that there is no big difference in selection factors such as 'spa facility', 'a fee to use', and 'quality of service' in the six spa places. Yet, Onyang, Yoosung, Ducksan, and Suanbo spa reflect high selection factor as 'a recognized spa place' different from Asan and Dogo where the reflection of selection factor is low. Onyang, Yoosung, and Dogo regions reflect high selection factor as a 'Touristy destination' while Asan reflects low selection factor.

• Korean Journal of Community Nutrition
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• v.4 no.1
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• pp.95-102
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• 1999

This study used questionnaires to investigate the safety awareness for imported foods by 365 male and female adults in Taejon. The results of the study were as follow : By factor analysis, the subjects' behaviors and awareness of the imported food was grouped into 3 factors such as 'health and quality factor', 'purchasing factor' and 'contamination factor'. 'Health and quality factor' and 'purchasing factor' were not recognized negatively by the subjects, moreover' contamination factor' was recognized very highly. The subjects' concern and worry about the imported food was also very high. The marital status, education level, nutriton knowledge adn recognition level of contamination by pesticides and heavy metals of foods partially affected the recognitio level of imported foods. The major selection criteria of imported food were distribution period(36.3%), price(28.8%) and purchasing experience(17.3%). The imported food mean discrimination score was 8.4±3.1 out of 13. The worst discriminatio score was red pepper. The subjects' experiences with imported foods selection affected the most instead of education level or nutrition knowledge. The higher discrimination score group more negatively recognized imported food and contamination recognition level was higher whereas the lowerdiscrimination score group more positively recognized the purchasing frequency and with to buy more easily. But both groups desired to reinforce contamination control. The better discrimination score of imported food pooring recognized sanitation concerns(p<0.05), quality(p<0.05), cooking convenience(p<0.01), desire for more variety(p<0.05), and the higher contamination recognition level(p<0.05) and desire to reinforce contamination control(p<0.01).

• Journal of Industrial Convergence
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• v.13 no.2
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• pp.45-54
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• 2015

This Study aims to analyze the factors for the success of commercialization of the facial extraction and recognition image security information system of the domestic companies in Korea. As the results of the analysis, the internal factors for the success of commercialization of the facial extraction and recognition image security information system of the company were found to include (1) Holding of technology for close range facial recognition, (2) Holding of several facial recognition related patents, (3) Preference for the facial recognition security system over the fingerprint recognition and (4) strong volition of the CEO of the corresponding company. On the other hand, the external environmental factors for the success were found to include (1) Extensiveness of the market, (2) Rapid growth of the global facial recognition market, (3) Increased demand for the image security system, (4) Competition in securing of the engine for facial extraction and recognition and (5) Selection by the government as one of the 100 major strategic products.

• Korean journal of food and cookery science
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• v.21 no.3 s.87
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• pp.371-379
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• 2005

This article studied the motivational factor of participation skill competition and their effectiveness. This study was restricted to cooks within those who had participated in a cooking contest to allow measurement of participation and satisfaction. This thesis investigated 116 cooks by questionnaires from April 6, 2005 to April 23, 2005, of which 106 responses were used for statistical processing to perform this study First, from the motive of participation, 13 variables were analyzed into 3 factors such as the factor of social recognition, the factor of speciality, and the factor of self-development and self-realization. The factor as a motive of participating in skill competition has a significant effect on effectiveness. A total of three factors were extracted from Recognition consisting of 10 variables. Each factor was labeled as awareness of the competition, revision of test questions, and selection of the judges of the competition. Second, three factors were derived from 12 variables in association with the effect of the contest, including factors of contribution to industry development, technical and technological effect, and psychological effect. In addition, it was revealed that the motive of participating in skill competition had an significant impact on recognition. Third, the results of regression analysis demonstrated that factors relating to recognition of skill competition and participation motives significantly influence on the effect of the contest. One limitation of this study is that the Population of the survey was limited to those who had Participated in the contest. Thus, the findings of this study may not be generalizable for other cases. It is clear that further research is needed to collect more in-dept data from other similar competitions in an effort to extend the application of the present results to other studies.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.3
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• pp.267-280
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• 2011

This study examined bag purchase behaviors for male consumers based on fashion attitudes. Data research were conducted on 304 males in their 20s and 30s located in Seoul & Gyeonggi province. The SPSS 17.0 software program was used to conduct data analyses such descriptive statistics, frequency analysis, factor analysis, cluster analysis, $X^2$-test, t-test, ANOVA, and Scheffe's test as a post-hoc analysis. The results of this study were as follows: Fashion attitude was identified with four factors personality, social recognition, practicality, and dignity. Customers were segmented into three subdivisions: conspicuous, recognition of individual style, and practicality of clothing. The factors derived from the factor analysis of selection criteria included intrinsic attributes and extrinsic attributes. Males in their 30s valued the intrinsic attributes and males in their 20s valued extrinsic attributes. The group of conspicuous of clothing, valued both intrinsic and extrinsic attributes as important. The factors derived from the factor analysis of bag pursuit benefit included pursuit of fashion/economic, famous brand, quality/convenience. Males in their 20s and 30s pursued famous luxury brands and fashion attitudes had a positive relevance to the bag pursuit benefit.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.2 s.161
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• pp.225-235
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• 2007

The purpose of this study is to grasp the character of consumers and the situation of domestic kidult fashion market. By grasping the distribution of kidult generation and the factors of product-selection based on products images, this research could be a substantial data to kidult associated company product planning and marketers. Subjects for this study were 213 Daegu women from 20 to 30 yearn of age who have high propensity to kidult. The statistical treatment of material used by SPSS 1.0 program consists of frequency analysis, factor analysis, multiple regression analysis, cluster analysis, and t-test. As a results, the characteristics of kidult consumers are classified as six factors. On image toward of kidult fashion goods, there was a significant difference 20 and 30 aged generation. According to fashion goods group, each group recognized on image of fashion products as follow: Group A is 'fancy', group B is 'childish', group C are 'familiarity', group D was recognized as 'fancy' and was identical to A on adjective expression, but was different A on recognition. All consumer characteristics of fun, character, girlish, nostalgia have a significant relation with the recurrence of products selection factor, and its order was character, girlish, nostalgia, and fun.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.13 no.1
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• pp.73-82
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• 2013

In pattern classification, feature selection is an important factor in the performance of classifiers. In particular, when classifying a large number of features or variables, the accuracy and computational time of the classifier can be improved by using the relevant feature subset to remove the irrelevant, redundant, or noisy data. The proposed method consists of two parts: a wrapper part with an improved genetic algorithm(GA) using a new reproduction method and a filter part using mutual information. We also considered feature selection methods based on mutual information(MI) to improve computational complexity. Experimental results show that this method can achieve better performance in pattern recognition problems than other conventional solutions.

• Korean journal of food and cookery science
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• v.22 no.6 s.96
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• pp.840-848
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• 2006

To analyse the impact of recognition for local food on frequency of visiting for local food restaurants, we surveyed 333 residents in the Kyungsangdo areas. The findings are summarized as follows. On interest of native foods, 'much' scored 40.6% and 'taste' scored 32.9%, in requirement of development. The criteria of selection of local foods was 62.3% in 'taste'. 'Institute(municipal government)' scored 31.3% as the main responsible body for the succession of local foods. The most significant criterion for tourism product of local foods was 'taste'(34.5%). The most effective way to popularize the local foods was to 'hold various kinds of cultural events'(27.5%). The necessity score on tourism product of local foods was 3.55 points. The highest recognition on native local foods was 'succession to next generation'(3.96 points). The most influential variable affecting the visit frequency toward local food restaurants was 'health factor'.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3685-3700
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• 2015

To avoid influences caused by pose, illumination and facial expression variations, we propose a robust three-step algorithm based on ASM and POEM for facial landmark localization. Firstly, Model Selection Factor is utilized to achieve a pose-free initialized shape. Then, we use the global shape model of ASM to describe the whole face and the texture model POEM to adjust the position of each landmark. Thirdly, a second localization is presented to discriminatively refine the subtle shape variation for some organs and contours. Experiments are conducted in four main face datasets, and the results demonstrate that the proposed method accurately localizes facial landmarks and outperforms other state-of-the-art methods.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.1
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• pp.196-212
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• 2014

Facial expression recognition is an important part in emotional interaction between human and machine. This paper proposes a facial expression recognition approach based on multi-classifier fusion with stacking algorithm. The kappa-error diagram is employed in base-level classifiers selection, which gains insights about which individual classifier has the better recognition performance and how diverse among them to help improve the recognition accuracy rate by fusing the complementary functions. In order to avoid the influence of the chance factor caused by guessing in algorithm evaluation and get more reliable awareness of algorithm performance, kappa and informedness besides accuracy are utilized as measure criteria in the comparison experiments. To verify the effectiveness of our approach, two public databases are used in the experiments. The experiment results show that compared with individual classifier and two other typical ensemble methods, our proposed stacked ensemble system does recognize facial expression more accurately with less standard deviation. It overcomes the individual classifier's bias and achieves more reliable recognition results.