• Journal of Korean Home Economics Education Association
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• v.9 no.2
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• pp.143-160
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• 1997

The purpose of this study are to analyze the images of‘home life’through the goals of 1st-6th secondary Home Economics education curriculums and to identify the images of ‘home life’held by undergraduate students(83). As results, in the goals of 1st-6th secondary Home Economics education curriculums, 1) the term of ‘home life’is used most frequently, and ‘home life’is confused with ‘daily life’. 2) ‘Home life’is used directly or expressed with clothing life, food life, shelter life, consumer life, etc. in the curriculum goals. 3) ‘Home life’is dealt differently with ‘family life’. 4) The image of “home life”has showed traditional sex role identification. In the replies of undergraduate students, the images are classified with following：1) the images of ‘home’were expressed warmth(hearth), relexation(ease or comfort), sharing, basic unit of society, and conflict and oppression. 2) The images of ‘home life’were expressed hearth, sharing, conflict(interaction), relexation(ease or comfort or sability), routine(act or household art), basic unit(shelter), responsibility and obligation, and reproduction(biological meaning). 3) The images of ‘daily life’were expressed routine(simplicity of boring or routine acts), comfort(stability), oppression, diverse activities in everyday, human relationship, and social life.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.257-262
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• 2020

This study recruited adults aged 35 to 64 living in Daegu and Gyeongsang buk-do to analyze the images of the elderly perceived by the mid and older- aged adults and their preparation for later life. The results of this study are as follows: First, as for the images of elderly people recognized by the research subjects, psychological images were the most positive, followed by physical and social images. Those with a higher education level, full-time job, and parents alive had more positive images of the elderly. The psychological images were better in those married compared to singles or divorcees, and the higher the age considered as elderly, the better the psychological and social images of the elderly. Second, preparation for later life in the mid and older-aged adults was better in order of emotional and physical preparation, whereas economic and leisure and social preparation were not enough. Those who are female, those with a higher education level, higher average monthly household income, professional job, and full-time job, and those who have an older age in mind as a definition of elderly have been better prepared for later life. Third, it was found that the sub-factors of their images of elderly people and preparation for later life affected each other, and the more positive their images of elderly people, the better they had been prepared for later in life. The results of this research suggests a desirable direction for improving the images of the elderly, implicating the necessity of exploring measures to provide individual and social support and developing educational programs for successful life after retirement.

• Journal of Families and Better Life
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• v.23 no.5 s.77
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• pp.123-132
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• 2005

The purpose of this study was to explore the impacts of adolescents' body images, attachment to parents, attachment to peers, and resilience on life satisfaction. The participants were 1449 adolescents selected from six junior-high schools. T-tests and stepwise multiple regression were conducted for data analysis. Major findings of this study were as follows: 1) There were gender differences in body images, peer attachment, and life satisfaction. 2) Adolescents' body images and degree of resilience were significant predictors of life satisfaction. 3) Attachment to parents was a significant predictor of life satisfaction, but peer attachment was not significant.

• Journal of the Society of Disaster Information
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• v.19 no.2
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• pp.432-438
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• 2023

Purpose: The purpose of this study is to enable users to conveniently report risks by automatically classifying risk categories in real time using AI for images reported in the life safety prevention service app. Method: Through a system consisting of a life safety prevention service platform, life safety prevention service app, AI model serving server and sftp server interconnected through the Internet, the reported life safety images are automatically classified in real time, and the AI model used at this time An AI learning algorithm for generation was also developed. Result: Images can be automatically classified by AI processing in real time, making it easier for reporters to report matters related to life safety.Conclusion: The AI image automatic classification system presented in this paper automatically classifies reported images in real time with a classification accuracy of over 90%, enabling reporters to easily report images related to life safety. It is necessary to develop faster and more accurate AI models and improve system processing capacity.

• Journal of Biosystems Engineering
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• v.37 no.4
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• pp.271-278
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• 2012

Worldwide trends in animal welfare have resulted in an increased interest in individual management of sows housed in groups within hog barns. Estrus detection has been shown to be one of the greatest determinants of sow productivity. Purpose: We conducted this study to develop a method that can automatically detect the estrus state of a sow by selecting optimal texture parameters from images of a sow's pudendum and by optimizing the number of neurons in the hidden layer of an artificial neural network. Methods: Texture parameters were analyzed according to changes in a sow's pudendum in estrus such as mucus secretion and expansion. Of the texture parameters, eight gray level co-occurrence matrix (GLCM) parameters were used for image analysis. The image states were classified into ten grades for each GLCM parameter, and an artificial neural network was formed using the values for each grade as inputs to discriminate the estrus state of sows. The number of hidden layer neurons in the artificial neural network is an important parameter in neural network design. Therefore, we determined the optimal number of hidden layer units using a trial and error method while increasing the number of neurons. Results: Fifteen hidden layers were determined to be optimal for use in the artificial neural network designed in this study. Thirty images of 10 sows were used for learning, and then 30 different images of 10 sows were used for verification. Conclusions: For learning, the back propagation neural network (BPN) algorithm was used to successful estimate six texture parameters (homogeneity, angular second moment, energy, maximum probability, entropy, and GLCM correlation). Based on the verification results, homogeneity was determined to be the most important texture parameter, and resulted in an estrus detection rate of 70%.

• Journal of the Korean Society for Nondestructive Testing
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• v.34 no.3
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• pp.211-219
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• 2014

Closed cracks are difficult to detect using conventional ultrasonic testing because most incident ultrasound passes completely through these cracks. Nonlinear ultrasound inspection using sub-harmonic frequencies a promising method for detecting closed cracks. To implement this method, a sub-harmonic phased array (PA) is proposed to visualize the length of closed cracks in solids. A sub-harmonic PA generally consists of a single transmitter and an array receiver, which detects sub-harmonic waves generated from closed cracks. The PA images are obtained using the total focusing method (TFM), which (with a transmitter and receiving array) employs a full matrix in the observation region to achieve fine image resolution. In particular, the receiving signals are measured using a laser Doppler vibrometer (LDV) to collect PA images for both fundamental and sub-harmonic frequencies. Oblique incidence, which is used to boost sub-harmonic generation, inevitably produces various surface waves that contaminate the signals measured in the receiving transducer. Surface wave interference often degrades PA images severely, and it becomes difficult to read the closed crack's position from the images. Various methods to prevent or eliminate this interference are possible. In particular, enhancing images with signal processing could be a highly cost-effective method. Because periodic patterns distributed in a PA image are the most frequent interference induced by surface waves, spatial frequency filtering is applicable for removing these waves. Experiments clearly demonstrate that the spatial frequency filter improves PA images.

• Journal of Fashion Business
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• v.6 no.4
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• pp.62-82
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• 2002

The purpose of this study was to investigate the Avant-garde's aesthetic values and expressoinal characteristic, and to find out(analysis) the design characteristic of Avant garde fashion since 1995. Expressoinal characteristics of Avant garde with the anti-aesthetic, radically pursuing newness, and open mind, are revealed dynamism, hostile innovation, and experimentalism. Futuristic images expressed in dynamism represent space style, body conscious style, cyborg style, kinetic style, and primitive style. And deconstructional images related to hostile innovation show punk style, grunge style, humor style, and abstractive style. Also surreal images related to experimentalism hold erotic style, depasemant style, deformation style, and collage style. The proper usage of newness offers the escape, the vividness, and the humour from the fatigue of the life and so, it is expected to offer the chance of transfering the active individuals and societies directly or indirectly By analyzing the instances for the images of avant-garde fashion since 1995, the contribution about the expectation of the design trends of the present and future is expected.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.995-1010
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• 2020

In this study, a multivariate analysis model of partial least square regression (PLSR) was developed to predict the moisture content of green peppers using hyperspectral imaging (HSI). In HSI, illumination is essential for high-quality image acquisition and directly affects the analytical performance of the visible near-infrared hyperspectral imaging (VIS/NIR-HSI) system. When green pepper images were acquired using a direct lighting system, the specular reflection from the surface of the objects and their intensities fluctuated with time. The images include artifacts on the surface of the materials, thereby increasing the variability of data and affecting the obtained accuracy by generating false-positive results. Therefore, images without glare on the surface of the green peppers were created using a polarization filter at the front of the camera lens and by exposing the polarizer sheet at the front of the lighting systems simultaneously. The results obtained from the PLSR analysis yielded a high determination coefficient of 0.89 value. The regression coefficients yielded by the best PLSR model were further developed for moisture content mapping in green peppers based on the selected wavelengths. Accordingly, the polarization filter helped achieve an uniform illumination and the removal of gloss and artifact glare from the green pepper images. These results demonstrate that the HSI technique with a polarized lighting system combined with chemometrics can be effectively used for high-throughput prediction of moisture content and image-based visualization.

• Proceedings of the IEEK Conference
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• 2007.07a
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• pp.279-280
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• 2007

Airway wall thickness is an important bio-marker for evaluation of pulmonary diseases such as stenosis, bronchiectasis. Nevertheless, an image-based analysis of the airway tree can provide precise and valuable airway size information, quantitative measurement of airway wall thickness in CT images involves various sources of error and uncertainty. So we have developed an accurate airway wall measurement technique for small airways with three-dimensional (3-D) approach. To illustrate performance of these techniques, we used airway phantom that consisted of 4 acryl tubes with various inner and outer diameters. Results show that evaluation of interpolation and deconvolution methods of airways in 3-D CT images, and significant improvement over the full-width-half-maximum method for measurement of not only location of the luminal and outer edge of the airway wall but airway wall thickness.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.6
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• pp.837-844
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• 2010

Dietary life was formed as being influenced by the people's cultural, social and environmental situations. The people's food culture is unique that was adapted to their surroundings. It was developed and industrialized in the ethnic food. Now the ethnic food was contributed to tour industry or culture industry. Then, food life style was change from the meat diet to the vegetable diet in the diffusion of well-being trends. So, we analyzed Koreans' Korean food image and investigated the difference as a demographics. We made questionnaire and did a survey to 220 bloggers using cooking internet sites on 10 August, 2009. We analyzed 206 questionnaires by SPSS package 12.0 except 14 untrustworthy questionnaires. We measured credibility and validity 39 items related Korean food image: Chronbach's ${\alpha}$ was highly 0.855. We checked that KMO examination was 0.775 and $x^2$ of Barttlet was 2482.342. After verymax rotation, we deducted 5 Koran food images-healthy, visuality, spicy, variety, low calorie. We analyzed ANOVA of 5 Korean food images according to demographics. We confirmed the differences by ages, monthly income and job except academic background (p<0.05). Therefore, Korean food images were learned and recognized in everyday life. Especially, we found that visuality and variety were recognized the more stronger high-income earners and teachers than others. So, Korean learned Korean food images in real life and recognized Korean food quite differently by demographics.