• Human Ecology Research
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• v.62 no.3
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• pp.517-530
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• 2024

This study aims to develop and validate a home economics education program focused on the consumer life area to enhance artificial intelligence (AI) literacy. To achieve this objective, a 10-session AI-consumer life integration education program was developed by analyzing literature on AI Literacy, AI curriculum, consumer education, and the home economics curriculum for the middle school consumer life area. The program's validity was assessed by nine teachers using a four-point Likert scale. The average scores for each item and the content validity index (CVI) were calculated. Based on expert feedback, the program was revised and improved accordingly. The expert validity assessment of the lesson plans, teaching materials and learning resources resulted in an average score of 3.78 for all items and an average CVI of 0.96. For the overall program, the expert validity assessment yielded an average score of 3.72 for all items and an average CVI of 0.97. Since the content validity index for all questions was above 0.78, the program demonstrated high validity across achievement standards integration, learning objectives, content and teaching methods, motivation, and volume areas. This confirms its effectiveness as an educational program for enhancing AI literacy. This study is significant in terms of defining and identifying the components of AI literacy, developing an AI-integrated program encompassing the entire consumer life area and confirming the suitability of the home economics curriculum for enhancing digital consumer competencies and promoting sustainable consumption. Additionally, it highlights the potential to integrate AI into the home economics and consumer life area.

• Journal of Digital Convergence
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• v.18 no.5
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• pp.145-155
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• 2020

The purpose of this study investigates the relationship between business strategy and cost behavior according to the corporate life cycle. To do so, I first examine the relationship between cost behavior and business strategy. And then, I analyze the effect of the business strategy on cost behavior conditional upon corporate life cycle based on listed Korean firms from 2000 to 2019. Specifically, the business strategy index is calculated by using the six continuous financial factors and the Prospector and Defender was defined on the score. Also, the corporate life cycle is distinguished based on the cash flow pattern. I find the evidence that the Prospector firms are likely to strengthen the asymmetry of cost behavior (cost stickiness), and examined that such a relationship was most strongly represented in the Introduction. This study is meaningful in that this is a more comprehensive analysis by examining business strategy and cost strategy according to the corporate life cycle and expand the application of financial information by using financial indicators to distinguish business strategies.

• Korean Journal of Agricultural and Forest Meteorology
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• v.2 no.1
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• pp.9-15
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• 2000

The objective of this study is to evaluate the use of RADARSAT and Landsat TM data for the monitoring of rice growth. The relationships between backscatter coefficients($\sigma$$^{0}$ ) of RADARSAT data and digital numbers (DN) of Landsat TM and rice growth parameters were investigated. Radar backscatter coefficients were calculated by calibration process and then compared with rice growth parameters; plant height, leaf area index (LAI), and fresh and dry biomass. When radar backscatter coefficient ($\sigma$$^{0}$ ) of rice was expressed as a function of time, it is shown that the increasing trend ranged from -22--20dB to -9--8dB as growth advances. The temporal variation of backscatter coefficient was significant to interpret rice growth. According to the relationship between leaf area index and backscatter coefficient, backscatter coefficient underestimated leaf area index at the beginning of life history and overestimated, at the reproductive stage. The same increasing trend between biomass and backscatter coefficient was shown. From these results, RADARSAT data appear positive to the monitoring of rice growth. Each band of time-series Landsat TM data had a significant trend as a rice crop grows during its life cycle. Spectral indices, NDVI[(TM4-TM3)/(TM4+TM3)] and RVI(TM4/TM2), derived from Landsat TM equivalent bands had the same trend as leaf area index.

• Korean Journal of Agricultural Science
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• v.47 no.4
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• pp.1097-1107
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• 2020

Assessment of soil carbon stock is essential for climate change mitigation and soil fertility. The digital soil mapping (DSM) is well known as a general technique to estimate the soil carbon stocks and upgrade previous soil maps. The aim of this study is to calculate the soil carbon stock in the top soil layer (0 to 30 cm) in Jeolla Province of South Korea using the DSM technique. To predict spatial carbon stock, we used Cubist, which a data-mining algorithm model base on tree regression. Soil samples (130 in total) were collected from three depths (0 to 10 cm, 10 to 20 cm, 20 to 30 cm) considering spatial distribution in Jeolla Province. These data were randomly divided into two sets for model calibration (70%) and validation (30%). The results showed that clay content, topographic wetness index (TWI), and digital elevation model (DEM) were the most important environmental covariate predictors of soil carbon stock. The predicted average soil carbon density was 3.88 kg·m-2. The R2 value representing the model's performance was 0.6, which was relatively high compared to a previous study. The total soil carbon stocks at a depth of 0 to 30 cm in Jeolla Province were estimated to be about 81 megatons.

• The Journal of Korean Physical Therapy
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• v.33 no.2
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• pp.84-90
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• 2021

Purpose: This study examined the effects of social distancing in COVID-19 on musculoskeletal problems and the quality of life. Methods: One hundred and thirty-five subjects participated in this study and responded to an online survey on stress from the social distancing in COVID-19, computer and smartphone usages, musculoskeletal pain, and quality of life. The stress from social distancing was assessed by a Visual Analogue Scale (VAS). The Neck Disability Index (NDI), Oswestry Disability Index (ODI), and Boston Carpal Tunnel Questionnaire (BCTQ) were provided to assess the musculoskeletal pain, and Short Form-36 (SF-36) was provided to assess the quality of life. Frequency analysis, descriptive statistics, Pearson's correlation coefficient, and independent t-test were used for data analysis. Results: Statistically significant, but low positive correlation stress from the social distancing (VAS) and NDI (r=0.19, p<0.05) and ODI (r=0.18, p<0.05), and negative correlation between stress from the social distancing (VAS) and SF-36 (r=-0.17, p<0.05). The NDI score was significantly greater in the group with high stress than in the group with low stress from social distancing (p<0.05). Conclusion: This study is meaningful in that it evaluated, through the physical therapy approaches, the potential side-effects on physical and mental health in various social changes caused by COVID-19. The results of this study may be used as basic data in future studies related to COVID-19.

• Journal of Digital Contents Society
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• v.19 no.5
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• pp.945-954
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• 2018

The purpose of this study is to analyze the life stress factors and the changing eating behaviors of the students. We selected a dental hygiene college in Seoul and Daejeon and surveyed 387 students with email and self-administered questionnaires. The studying(3.16) of the stress factors was the most contributing factor followed by career path 3.04, economic 2.97. Regarding differences in each life stress factors according to general characteristics, they were found statistically significant to Body mass index, economic condition, family conversation time and self recognition of health status. Results showed that 39.7% of students ate snacks 1 to 3 times per week, 44.0% preferred spicy flavors after stress, 47.7% ate more than usual after stress, also among the group with high stress was revealed bad results of eating behaviors. According to this study, we identified the factors that affect the daily stress of dental hygiene students and the consequent changes in eating behavior and the results will be consulted on the training and counseling to adjust to college life.

• Korean Journal of Remote Sensing
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• v.39 no.4
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• pp.425-440
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• 2023

Monitoring water surface has become one of the most prominent areas of research in addressing environmental challenges.Accurate and automated detection of watersurface in remote sensing imagesis crucial for disaster prevention, urban planning, and water resource management, particularly for a country where water plays a vital role in human life. However, achieving precise detection poses challenges. Previous studies have explored different approaches,such as analyzing water indexes, like normalized difference water index (NDWI) derived from satellite imagery's visible or infrared bands and using k-means clustering analysis to identify land cover patterns and segment regions based on similar attributes. Nonetheless, challenges persist, notably distinguishing between waterspectralsignatures and cloud shadow or terrain shadow. In thisstudy, our objective is to enhance the precision of water surface detection by constructing a comprehensive water database (DB) using existing digital and land cover maps. This database serves as an initial assumption for automated water index analysis. We utilized 1:5,000 and 1:25,000 digital maps of Korea to extract water surface, specifically rivers, lakes, and reservoirs. Additionally, the 1:50,000 and 1:5,000 land cover maps of Korea aided in the extraction process. Our research demonstrates the effectiveness of utilizing a water DB product as our first approach for efficient water surface extraction from satellite images, complemented by our second and third approachesinvolving NDWI analysis and k-means analysis. The image segmentation and binary mask methods were employed for image analysis during the water extraction process. To evaluate the accuracy of our approach, we conducted two assessments using reference and ground truth data that we made during this research. Visual interpretation involved comparing our results with the global surface water (GSW) mask 60 m resolution, revealing significant improvements in quality and resolution. Additionally, accuracy assessment measures, including an overall accuracy of 90% and kappa values exceeding 0.8, further support the efficacy of our methodology. In conclusion, thisstudy'sresults demonstrate enhanced extraction quality and resolution. Through comprehensive assessment, our approach proves effective in achieving high accuracy in delineating watersurfaces from satellite images.

• Journal of The Korean Digital Architecture Interior Association
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• v.12 no.3
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• pp.39-47
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• 2012

General concern over 'Quality of Life(QOL)' has caused many researches, which compare nations' or cities' QOL by the normative criteria proposed by themselves. The fact that these are characterized by subjectiveness makes this study have a purpose of trying to enhance the intersubjectiveness by means of quantitive analysis to find the factors on the QOL. This study uses statistical methods such as multiple regression and factor analysis based on the secondary data from the "2011 Seoul Survey". The survey includes many items, for example happiness index and satisfaction for work, amenity, etc.. And the analysis tells three findings as follows; Firstly, five subcategories of happiness have relative importance in the order of (1)financial condition, (2)health, (3)social activities, (4)community relationship and (5)family life. These generally constitute the first factor extracted by factor analysis and named 'abundance-family-intimacy factor.' Secondly, the 'abundance-family-intimacy factor' and the 'information-danger factor' among five factors(the others are 'learning-giving factor', 'local patriotism-hope for rise factor' and 'amenity-comfort factor') have statistically significant effect to QOL. Thirdly, the first factor has positive effect, but the second has negative to QOL. Note is needed to the fact that the items on SNS and internet belong to second factor and to the result that these make QOL deteriorate. These results should be considered as having limited meaning of statistical aspect. But accumulation of following studies by quantitive approach is anticipate to make more practical and general meaning.

• Journal of The Korean Digital Architecture Interior Association
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• v.13 no.1
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• pp.33-41
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• 2013

Considering the fact that quality of life(QOL) conceptually has objective and subjective attributes but difficulties in measuring the subjective aspect cause a number of studies not to be balanced, this study exploits AHP(Analytical Hierarchy Process) which has been used for systematic decision making to include the other aspect. As the first step of the process decision making hierarchy model is set by content analysis of the UNDP QOL index and additional review of previous studies. 'Improving urban QOL' is a goal on top, 'Economical QOL', 'Environmental QOL', 'Social QOL' and 'Physical QOL' are dimensions of sub-goal(means objectives), and further decomposition follows. AHP shows that the dimensions of economical, physical, environmental and social QOL scored higher respectively. The aim of the model is to measure and prioritize the urban QOL in the two case study cities. The final score of the each city could be computed by integration of relative weights of dimensions for urban QOL. The final score of QOL for city A was 0.6642 and for city B the figure decreased to 0.3358. The method of this study could be used in stages of the process of urban planning. First stage is when planners try to have a correct and reliable perspective from the existed conditions of the city. Second stage is when the projects should be investigated to be confirmed for their efficiency. In other words planners can direct the scarce resources towards the aspects of QOL which are more important. And the results revealed that using AHP creates opportunity to involving the different groups in the stage of criteria weighting so that the attitudes of local community could be integrated well to the decision making to be suitable for a new paradigm of participatory and communicative planning.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.759-768
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• 2022

The purpose of this study is to apply a chronic disease management non-face-to-face program for the prevention and management of chronic disease and to confirm the effect of a one-group pre-and post-design similar experimental study. The program consisted of nursing, nutrition, and exercise programs for 12 weeks. The subjects were 69 adult men and women using the chronic disease management center at public health centers, and the period was from May 3 to August 6, 2021. Systolic pressure, diastolic pressure, fasting blood sugar, BMI, depression, and quality of life were measured before and after the program. Data were analyzed with SPSS 20.0. As a result, systolic pressure, diastolic pressure, fasting blood glucose, and quality of life were found to be significant. Depression was not significant, but mild depression was reduced. Developing, applying, and managing various non-face-to-face programs for chronic disease management will contribute to the prevention of chronic diseases and the promotion of health maintenance.