• Journal of Korean Home Economics Education Association
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• v.3 no.1
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• pp.49-59
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• 1991

The purpose of this study is to find out the influence of Home Economics learning on the recognition and attitude of middle school boy’s home life and to suggest the basic materials for the development of the Home Economics education through students’opinion of Home Economics. For this purpose, a survey was conducted in Cheong-ju area using questionaire. The subjects were 487 boys who studied Home Economics (HE group)and 480 boys who studied Technique (T group) in middle school. The statistics used for data analysis were t-test and x$^2$-test. The results of this study were as follows： 1. The recognition and attitude to home life on the general characteristics of home life； In urban area, the interests in bealth and the role of the consumers were higher than those of rural areas-on the bases of the standard of life, the middle class students had a higher interest in nutrition and food habits, the students whose father were engaged in special job had a higher interest in health and nutrition. 2. The difference of the recognition and attitude between HE & groups； In the field of food life, HE’s knowledge about the six nutrients and the basic food groups and attitude toward buying food were higher than T’s. In the field of family life and resources, HE and T accepted the importance of family life and the role of home as important, hoped to get psychological relax from home and to take the right sexual education. In the field of clothes life, HE and T had the general tendency to have their clothes in proper manner and to select their clothes for themselves, but HE took a higher interest in clothes mending and the role of clothes. 3. The opinions on Home Economics； HE answered that Home Economics was useful to them (more than 90% of HE) and that 57.1% of HE were interested in Home Economics. The order of interest among three fields were as follows： food life, clothes life, family life and resources. 71.9% of T hoped to take Home Economics course.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.455-464
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• 2015

This study aimed to identify the factors influencing health education performance of health promoting hospital nurses. The study was conducted with 231 nurses from four health promoting hospitals. Data were collected from May to June, 2013. Health education performance was positively correlated with education level, years of clinical experience, health promotion role recognition, and self efficacy for health education. Health promotion role recognition (${\beta}=.246$, p=.001), self-efficacy for health education (${\beta}=.282$, p <.001), and clinical experiences (${\beta}=.170$, p=.007) were significant predictors of health promoting hospital nurses' health education performance and explained 27.8% of the variance. The strategies to improve health promotion role recognition and self-efficacy for health education should be developed to improve health education performance of health promoting hospital nurses.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.1
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• pp.24-29
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• 2022

Semantic role labeling task used in various natural language processing fields, such as information extraction and question answering systems, is the task of identifying the arugments for a given sentence and predicate. Predicate used as semantic role labeling input are extracted using lexical analysis results such as POS-tagging, but the problem is that predicate can't extract all linguistic patterns because predicate in korean language has various patterns, depending on the meaning of sentence. In this paper, we propose a korean predicate recognition method using neural network model with pre-trained embedding models and lexical features. The experiments compare the performance on the hyper parameters of models and with or without the use of embedding models and lexical features. As a result, we confirm that the performance of the proposed neural network model was 92.63%.

• The Research Journal of the Costume Culture
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• v.31 no.6
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• pp.705-719
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• 2023

The study aimed to investigate the factors influencing genderless fashion preferences. The questionnaires were collected from men and women participants aged 20 to 49 living in Seoul City and Gyeonggi Province. Data analysis involved factor analysis, t-test, ANOVA, and regression analysis. The findings revealed that genderless fashion preference comprised four factors, namely individuality pursuit, deviation from norms, fashion pursuit, and social recognition pursuit. Self-esteem encompassed two factors positive self-esteem, and negative self-esteem. while sociocultural attitude toward appearance consisted internalization, and awareness. Second, positive self-esteem significantly influenced individuality pursuit and deviation from norms in genderless preference factors. Third, sociocultural attitude toward appearance had a significant effect on genderless fashion preference, with awareness particularly exerting a significant effect on individuality pursuit, fashion pursuit, and social recognition pursuit. Fourth, genderless fashion preferences exhibited differences based on gender role identity in factors such as individual pursuit, norm avoidance, and trend pursuit. Lastly, demographic characteristics such as age, education, occupation, and monthly income revealed significant differences in genderless fashion preferences. From the results of the study, it was found that consumers perceived individuality pursuit, fashion pursuit, and social recognition pursuit as important influencing factors of genderless fashion preferences. In addition, it is necessary to create an independent brand identity by developing various items to express consumers' individuality, differentiated brand concepts from other brands, and store displays.

• The Journal of Korean Academic Society of Nursing Education
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• v.17 no.1
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• pp.36-43
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• 2011

Purpose: The purpose of this study was to identify the level of role expectation and role performance in school health teachers recognized by nursing students experiencing health teacher practice and to compare role expectation and performance according to their characteristics. Method: The subjects in this study were 530 nursing students from 42 universities in Korea. The data was collected by a structured self-administered questionnaire and analyzed using descriptive statistics, t-test, and ANOVA by SPSS 17.0 program. Results: The student recognition in role expectation for school health teachers showed a high level and its level in the role performance was moderate. The students recognized the role expectation was greater than the role performance in school health teachers. The students' points of view for role expectation and performance were statistically different according to their practicing locations, practicing school sizes, and their expressions of health teacher's images. Conclusion: To improve health teacher training and to provide a high quality education, practice manuals, educational support, cooperation between the university and practice school, and support of human resources as school health teachers are necessary.

• The Journal of the Korea Contents Association
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• v.20 no.7
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• pp.86-96
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• 2020

Based on the use cases of image recognition technology, this study looked at how artificial intelligence plays a role in image recognition technology. Through image recognition technology, satellite images can be analyzed with artificial intelligence to reveal the calculation of oil storage tanks in certain countries. And image recognition technology makes it possible for searching images or products similar to images taken or downloaded by users, as well as arranging fruit yields, or detecting plant diseases. Based on deep learning and neural network algorithms, we can recognize people's age, gender, and mood, confirming that image recognition technology is being applied in various industries. In this study, we can look at the use cases of domestic and overseas image recognition technology, as well as see which methods are being applied to the industry. In addition, through this study, the direction of future research was presented, focusing on various successful cases in which image recognition technology was implemented and applied in various industries. At the conclusion, it can be considered that the direction in which domestic image recognition technology should move forward in the future.

• Korean Journal of Child Studies
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• v.31 no.5
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• pp.79-99
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• 2010

This study inquired into the life and experiences of two elder sisters who have different individual and familial risk factors and their younger brothers from the mixed-age preschool class through ethnographic research method using participant observation. The results showed that an elder sister from low-income multi-children family played her role very actively through caring for, learning and playing with younger brother during almost of the play situations. On the other hand, the other elder sister who has experience of depression, showed strong possessiveness and neglect of younger brother. As for psychological aspects of sibling relationship, the elder sisters were suffering psychological stresses resulted from excessive role expectation in family or from self-recognition on elder sister role, respectively.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.8 no.2
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• pp.3-9
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• 2009

When washing machine is rotated in the laundry, it tends to lean toward one side. This tendency causes a serious vibration. The balance of washing machine plays an important role in order to reduce the vibration by injecting the sand or the salt water into the balance of washing machine. The hot plate welder is used to prevent from outflow of contents. The hot plate welder brings about many problems which is concerned with accidents. The direction recognition and location information of the balance are required in this system. In this paper, the recognition direction of balance in washing machine using machine vision system is studied. The template matching algorithm compares sub-image with original image acquired in real-time to obtain a center point of balance image. The mid points and the edges of balance are estimated by the edge detection and gauging algorithms. The data acquired by these results is used for recognition direction of balance. The automation software for image processing is developed by using LabVIEW.

• Knowledge Management Research
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• v.19 no.1
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• pp.147-174
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• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1064-1069
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• 2013

In this paper, we propose a Musical Score Recognition with SOM and Enhanced ART-1 Algorithm. First, we apply Hough transform and Otsu's binarization to the original BMP format image and extract notes from separated passages by histogram analysis with removing staff lines. Then extracted musical notes are normalized to same size by SOM algorithm and ART-1 algorithm plays the learning and recognition role. The experiment verifies that the proposed method is quite effective on printed musical score recognition.