• 한국생활과학회지
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• 제10권3호
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• pp.291-301
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• 2001

The purpose of this study is to provide the apparel manufacturers who have not been effectively preparing for worldwide trends of rapid increase in overweight population with fundamental data to develop updated domestic market through the findings derived from the actual dissatisfaction factors in purchasing of a garment by overweight body customers excluded in the apparel industry. The results of study are as follows : Considering the relationships with dissatisfaction factors in purchasing ready-to-wear according to the interests in weight control, there is a slight difference in the partial intention from degree of self-recognition of body figure and interests in weight control and motivation of interests in weight control. As a results, first, the more recognition of obesity, the more dissatisfaction with "product variety" and "purchasing decision". Second, the more interests in weight control, the more dissatisfaction with product variety in purchasing of ready-to-wear. Third, the more self-recognition of obesity as the motivation of interests in weight control, there is a high dissatisfaction with product variety.

• 전자공학회논문지B
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• 제33B권3호
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• pp.176-185
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• 1996

Transformin the huge size of drawings into a suitable format for CAD system and recognizng the contents of drawings are the major concerans in the automated analysis of engineering drawings. This paper proposes some methods for text/graphics separation, symbol extraction, vectorization and symbol recognition with the object of applying them to electronic cirucit drawings. We use MBR (Minimum bounding rectangle) and size of isolated region on the drawings for separating text and graphic regions. Characteristics parameters such as the number of pixels, the length of circular constant and the degree of round shape are used for extracting loop symbols and geometric structures for non-loop symbols. To recognize symbols, nearest netighbor between FD (foruier descriptor) of extractd symbols and these of classification reference symbols is used. Experimental results show that the proposed method can generate compact vector representation of extracted symbols and perform the scale change and rotation of extracted symbol using symbol vectorization. Also we achieve an efficient searching of circuit drawings.

• 한국전기전자재료학회논문지
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• 제11권10호
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• pp.940-945
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• 1998

In this paper, we obtained the data, which is required in training the neural network and diagnosing the degradation degree, by introducing the AE detection that is effective method in ordinary degradation diagnosis on activation. Aa the results of generalization tests by appling neural network to the unknown AE patterns obtained from two kinds of specimen, firstly as to evaluate an objective performance of neural network, the recognition ration for no-void specimen and 1[mm] -void specimen are appeared to be 98.9% and 92.5%, respectively. Also, in the evaluation of the adaptability of neural network with a new type of 0.2[mm] -void specimen, it is confirmed that the result appears to be 64% of recognition ratio at 94% of confidence interval coefficient in expectation output 0.2. On the other hand, the recognition capability of the neural network was confirmed by data from no-void and 1[mm] void specimen. The results prove the promising possibility of the application of ANN to discriminate specific void affecting as main degradation source at partial discharge condition in insulator containing multi-void by accummulated data base.

• 한국식생활문화학회지
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• 제32권6호
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• pp.476-486
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• 2017

This study surveyed the recognition, image, preference, attributes, satisfaction and revisit intention for Korean food of local Vietnamese to facilitate the globalization of Korean food. Most participants had recognized Korean food. and, they were especially aware of kimchi (김치), bulgogi (불고기) and bibimbab (비빔밥), Additionally, most repondents thought these foods represent Korean traditions and culture very well. The image of local Vietnamese for Korean food was good. Which was reflected in Korean food having "a good reputation" and a high possibility for "globalization" were high. This study also investigated 16 kinds of Korean food and found the highest preferences to be for bulgogi (불고기), followed by galbitang (갈비탕), whereas that for doenjangchigae (된장찌개) was lowest. Some of the top choice attributes of Vietnamese for Korean food were found to be in "because it is 'colorful', 'prepared sincerely', 'plated neatly', 'fresh' and 'comes with a variety of banchans (side dishes). This is a very meaningful result, making this an important reference for the globalization of Korean food. The local Vietnamese had high satisfaction and reuse intention degree for Korean food, and especially high satisfaction with the colorfulness of Korean food. In addition, the local Vietnamese showed a very high revisit intention for Korean food.

• 한국치위생학회지
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• 제19권3호
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• pp.399-408
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• 2019

Objectives: In this study, by a professional who provides medical services by gauging the level of personality recognition among dental hygienists, the basic data is provided to suggest the need for personality education in dental hygienists' education. Methods: A questionnaire survey was conducted with the members attending conservative education in 2018, and the results of the analysis of the total of 348 members were as follows. Results: The average age of the participants was 31.6 years, and their average career duration was 9.4 years. The total personality score was 3.74 points. The highest score was 4.10 points for conscience, and the lowest score was 2.98 points for habit. In terms of differences between general characteristics and personality domains, the personality perception score was statistically significantly higher for hygienists who were married than for those with a higher education level and working at a higher hospital level. There was a statistically significant positive correlation between the personality domains and the highest competence domain (r=0.790) in relation to total personality. The higher the competency, the higher the total score. Conclusions: Personality is not a part of being formed in the short term. It should be recognized that it is important to recognize the importance of personality in the dental hygiene education curriculum and to provide opportunities to develop personality through systematic programs.

• 농업과학연구
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• 제49권4호
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• pp.789-799
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• 2022

The purpose of this study is to analyze farmers' perceptions of Greenhouse Gas Reduction Projects and identify factors influencing participation in the projects. To achieve the research objective, a survey was conducted and a probit model was adopted for the empirical analysis. The results showed that farmers do not participate in the projects due to a lack of education and promotion and due to economic loss. It also showed that the frequency of training and technical guidance learning, degree of recognition of the need for efforts to reduce greenhouse gases, and the level of recognition of the projects concerned have a positive impact on the willingness to participate in the projects. Meanwhile, participation in agricultural environment conservation programs has a negative impact on it. Enhancement of education and promotion as well as economic support (direct payment, R&D) would be useful to raise the willingness to participate in the projects.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권10호
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• pp.4126-4142
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• 2015

Finger vein recognition is a biometric technology using finger veins to authenticate a person, and due to its high degree of uniqueness, liveness, and safety, it is widely used. The traditional Symmetric Local Graph Structure (SLGS) method only considers the relationship between the image pixels as a dominating set, and uses the relevant theories to tap image features. In order to better extract finger vein features, taking into account location information and direction information between the pixels of the image, this paper presents a novel finger vein feature extraction method, Multi-Orientation Weighted Symmetric Local Graph Structure (MOW-SLGS), which assigns weight to each edge according to the positional relationship between the edge and the target pixel. In addition, we use the Extreme Learning Machine (ELM) classifier to train and classify the vein feature extracted by the MOW-SLGS method. Experiments show that the proposed method has better performance than traditional methods.

• 한국치위생학회지
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• 제14권5호
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• pp.747-755
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• 2014

Objectives : The purpose of the study is to investigate the appropriate prevention and management of halitosis and management for the elderly. Methods : A self-reported questionnaire was filled out by 320 elderly over 65 years old in Seoul and Gyeonggi from June to October, 2013. Except 28 incomplete answers, 292 copies were used for the analysis. Results : The correlation coefficient was 0.702 which was the degree of present halitosis and everyday halitosis. Elderly within 65-69 years old felt the halitosis very seriously. the level of halitosis felt everyday was also highest in those within 65-69 years old with mean $2.00{\pm}0.862$ points. Conclusions : The dissemination of correct knowledge of halitosis management can improve the subjective perception of the elderly oral health care.

• 디지털융복합연구
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• 제12권11호
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• pp.499-504
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• 2014

본 연구는 텔레비전 뉴스의 시각적 요소인 인포그래픽이 수용자의 뉴스 기억과 이해에 어떤 영향을 미치는지 살펴본 실증연구이다. 본 실험을 위하여 87명의 대학생들로 구성된 피험자 집단을 인포그래픽의 유무에 따라서 2집단으로 나누어 KBS뉴스9에서 추출한 5개의 뉴스에 노출시킨 후, 설문조사에 응답하게 하여, 피험자들의 재인기억, 회상기억, 뉴스 이해 정도를 측정하여 분석하였다. 분석결과 인포그래픽이 있는 뉴스에 노출된 피험자들은 인포그래픽이 없는 뉴스에 노출된 피험자들보다 회상기억을 더 잘하였으며, 뉴스 이해도가 더 높게 나타났다. 그러나 이항식 답변을 요구한 재인기억에 있어서는 두 집단 간 유의미한 차이가 나타나지 않았다.

• 전자공학회논문지B
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• 제33B권10호
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• pp.63-71
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• 1996

This paper proposes a method which analyzes facial shape and extracts positions of eyes regardless of the tilt and the size of input iamge. With the extracted feature parameters of facial element by the method, full human faces are recognized by a neural network which BP algorithm is applied on. Input image is changed into binary codes, and then labelled. Area, circumference, and circular degree of the labelled binary image are obtained by using chain code and defined as feature parameters of face image. We first extract two eyes from the similarity and distance of feature parameter of each facial element, and then input face image is corrected by standardizing on two extracted eyes. After a mask is genrated line historgram is applied to finding the feature points of facial elements. Distances and angles between the feature points are used as parameters to recognize full face. To show the validity learning algorithm. We confirmed that the proposed algorithm shows 100% recognition rate on both learned and non-learned data for 20 persons.