• Korean Journal of Community Nutrition
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• v.14 no.6
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• pp.777-788
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• 2009

The purpose of this study was to assess physical activities and activity coefficient of preschool children and was to give some concrete information to activate outdoor play and to probe the suggestions to activate outdoor play. 42 preschool children (17 boys and 25 girls) were included. Body weight and height were measured and one-day activity diaries were collected by interviewing with their parents and kindergarten teachers. To measure physical activity during outdoor play, this study was researched the current conditions and content of outdoor play activity in daycare centers, and teacher's perceptions of that outdoor play. The average age of the subjects was 5.0 years. Average height, weight, body fat and body muscle of subjects were 108.9 cm, 18.9 kg, 17.7% and 26.8%, respectively. The subjects spent about 10 hours 39 minutes sleeping; 4 hours 16 minutes personal hygiene and computer working. They spent 88.2% of 24 hours (one day) in "very light activities" and 11.3% in "light activities". Activity coefficient (1.34) of weekday was significantly higher than that of weekend (1.21). And in this study, it was found that most of daycare centers (87.7%) have outdoor play space, 95.2% of them were garden. The teachers recognized that have a outdoor play frequency everyday (48%), three or four times (46%) in a week but they have three or four times (38%), one or two times (30%) because of various indoor program. Also, they recognized that have a outdoor play expending time 21-30 minutes (48%), 31-40 minutes (26%) but they have 21-30 minutes (64%). They answered that have frequency and expending time less than their recognition of outdoor play. Most of daycare center teachers perceived outdoor play to be as important as indoor play, and the teachers believed outdoor play supports children's physical, cognitive, social, and language development. The results of this study may be used to utilize as a basic data for estimate physical activity for preschool children and developed that exercise program to increase physical activity of daycare center outdoor play.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.1-12
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• 2018

Objective : This study conducted a preliminary study to develop a occupational therapy model focused on improving living functions within the community care system. Methods : From June to July, 2018, the literature on community care was researched, focusing on cases of Japan's Management Tool for Daily Life Performance (MTDLP), Sweden, United Kingdom, Germany and domestic S Elderly Care Centers and I Health Centers. Based on this information, a group of experts developed a occupational therapy model within the community care system. Results : Assessment tools such as occupation-based health promotional table, interest checklist, occupational goals for improving living functions, sheet for evaluation of living functions, survey of daily life time (weekday and weekend), and sheet for transition of living functions were developed to conduct evaluation for occupational therapy. The improving living functions program, analysis of activities based on ICF model, lifestyle redesign program, cognitive exercise therapy, the Lee Silverman Voice Treatment (LSVT), hospice, and home modification were also organized interventions already in place by occupational therapists. Conclusion : This study showed specific measures and models for the implementation of occupational therapy within community care systems. Occupational therapy is positioned as a specialized area that is essential to the client, and we look forward to the use of this model.

• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.659-674
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• 2019

The purpose of this study is to verify the path of the motivation, the flow, and problem gambling and intervention points. To this end, we verified the mediation effect of the motivation of the users outside sales offices influences the problem gambling through a flow and the moderated mediation effect of the frequency of the use of a bicycle racing tracks in that process. A total of 411 cases were analyzed using surveys conducted for one day on a weekday and weekend (September 13th and 15th 2018) for adults using an outside sales office in Jangan. According to the analysis, the causality of gambling by gambling motivation(amusement, excitement, avoidance, society, money) showed its effect positively by mediating the flow. The adjusted effect of the frequency of the use on the intermediary effect of the motivation ${\rightarrow}$ flow ${\rightarrow}$ problem gambling behavior, which is the main concern of this study, was found to be statistically significant. More specifically, the effect of adjusting the frequency of the use was statistically significant in both paths: motivation/flow and flow/problem gambling. It was also shown that, in the model with excitement, avoidance and social motivation, the adjustment of the frequency was only significant in the causal relationship between the flow and problem gambling. Based on these findings, this study made clinical and policy suggestions for intervention for gamblers and user protection regulations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.49-55
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• 2019

An open office or a shared office is emerging as the emphasis on the collaborative and communicative work environments is increasing. In the past, the user maintained the space, but the maintenance of indoor space became difficult because there is no fixed user. Indoor space information can be collected using the ICBM framework system. The facility management can achieve this with data. Therefore, this study proposed a framework based on ICBM (Internet of Things, Cloud, Big Data, and Mobile) for verifying the possibility of a smart facility management system for indoor space. IoT (Internet of Things) technology was used to measure the indoor temperature, humidity, occupancy, and brightness continuously, and provided the data to Web API via WiFi. Data acquired automatically via IoT, existing maintenance data, and spatial information were integrated through the Cloud. Big data collected by sensors were processed as meaningful spatial information for maintenance. Indoor space information and maintenance information can be delivered to the manager through the mobile. Based on the collected data, room occupancy recognition is limited due to a range of ultrasonic wave sensors. On the other hand, brightness represents the space conditions. The difference between lighting on/off, weekday and weekend can be shown. The temperature data and the relative humidity data were collected steadily to evaluate the comfort.

• The Korean Journal of Applied Statistics
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• v.32 no.1
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• pp.161-171
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• 2019

Varied methods have been researched continuously because the past as the daily maximum electricity demand expectation has been a crucial task in the nation's electrical supply and demand. Forecasting the daily peak electricity demand accurately can prepare the daily operating program about the generating unit, and contribute the reduction of the consumption of the unnecessary energy source through efficient operating facilities. This method also has the advantage that can prepare anticipatively in the reserve margin reduced problem due to the power consumption superabundant by heating and air conditioning that can estimate the daily peak load. This paper researched a model that can forecast the next day's daily peak load when considering the influence of temperature and weekday, weekend, and holidays in the Seasonal ARIMA, TBATS, Seasonal Reg-ARIMA, and NNETAR model. The results of the forecasting performance test on the model of this paper for a Seasonal Reg-ARIMA model and NNETAR model that can consider the day of the week, and temperature showed better forecasting performance than a model that cannot consider these factors. The forecasting performance of the NNETAR model that utilized the artificial neural network was most outstanding.

• Journal of Environmental Health Sciences
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• v.47 no.4
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• pp.339-355
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• 2021

Background: Particulate matter (PM₁₀, PM_2.5) and black carbon contribute to poor air quality in urban areas, and can also affect indoor environments. Exposure to PM can be associated with respiratory and lung diseases. Objectives: This study investigated the indoor and outdoor concentration distribution patterns of PM₁₀, PM_2.5, and black carbon at an apartment building, a typical residential space in the metropolitan areas of South Korea, by season, day of the week (weekday vs. weekend), and time of the day. It aims to obtain foundational data for the effective management of pollutants and investigate the difference in pollution levels between indoor and outdoor environments. Methods: Indoor and outdoor concentrations of PM and black carbon were measured at an apartment building located in Namyangju, Gyeonggi-do Province, using dust sensors and an Aethalometer AE51 (AethLabs, San Francisco, CA, USA) over the course of a year from June 2020 to May 2021. The concentration distribution patterns were analyzed by season and time of day. Results: PM₁₀ and PM_2.5 concentrations in the outdoor environment were higher than those in the indoor environment, regardless of the season. By contrast, the indoor black carbon concentration was higher than that in the outdoor environment during summer and autumn. The concentrations of PM₁₀, PM_2.5 and black carbon were found to be higher on weekdays than during weekends, especially during rush hour, with concentrations of 25.92~56.58 ㎍/m³, 21.12~44.82 ㎍/m³, 0.63~3.40 ㎍/m³. Conclusions: The outdoor concentrations of PM₁₀, PM_2.5, and black carbon were higher during the weekdays, especially during rush hour, than during weekends. This study is expected to provide basic data for the health management of apartment occupants because it is measured over a period of more than one year.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.277-287
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• 2020

The purpose of this study was to investigate the standardization of daily average smartphone use time among adolescents. The data were analyzed using the data from Korea youth risk behavior web-based survey of 2017, and the total number of students analyzed was 54,603. Frequency analysis, independent t test, Pearson correlation analysis, and one-way ANOVA were used for statistical analysis. As a result, the correlation coefficient between smartphone use time, age, and grade was very low (r =.025~.039). There was no significant difference in the usage of smartphone between middle and high school students(p>.05). Time of smartphone use was significantly higher in middle school students as the grade increased(p<.05). In high school students, second-year students had significantly more smartphone usage than first and third grade students(p<.05). The researchers described 54603 adolescents' average(minute) daily smartphone usage about sex(male, female), period of use(weekday, weekend), school(middle school, high school), and grade(first, second, third) as a 7th quartile. We suggest that the standard value of smartphone use time can be used as a basis for the physical and mental health management in adolescents. It is necessary to present a standard value that can prove the future overuse of smartphone.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.75-91
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• 2022

With the recent increase in interest in climate change issues, the use of bicycles is complementing public transportation and attracting attention as one of the eco-friendly means of transportation. Daejeon Metropolitan City has been operating Tashu, a public bicycle, since 2008. This study empirically analyzed the spatial characteristics that affect the use of public bicycles by grasping the current status and characteristics of public bicycles and applying spatial econometrics analysis, an analysis model that considers the spatial dependence of spatial data. In addition, a comparative analysis was performed by deriving the results of analyzing six models in terms of rental, return, peak time, non-peak time, weekday, and weekend based on the spatial error model identified as the optimal spatial econometrics model. The analysis model results showed that significant spatial characteristics differed according to the type of public bicycle use. In general, the use of public bicycles was high in areas with a high proportion of young people, a high number of public transportation users, good access to universities and rivers, and relatively low land use mix, and high proportion of apartments. These results indicated that public bicycles are used for commuting purposes on weekdays and leisure purposes on weekends, and if the convenience of using bicycles is improved, the use of public bicycles can be further increased.

• Journal of Service Research and Studies
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• v.12 no.4
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• pp.82-93
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• 2022

The food service industry is a major driver of global sustainable food consumption. By understanding food consumption behavior, restaurant managers can forecast demands and reduce pre-consumer food waste. This study investigates the relationship between influencing factors and the number of customers at restaurants and cafés. These factors are weather-related factors, including rain and temperature, and school-related factors, including exams and the day of the week. Based on these four factors, 24 possible combinations were created. Three representtive days were chosen for each weekday combination. Besides, one representative day was chosen for each weekend combination. In total, 48 days were sampled throughout the year. Customer data were collected from six restaurants and cafes on a Korean university campus. Conjoint analysis was used to determine the relative importance of each variable to customer numbers. Following that, utility scores were standardized and mapped to determine the best condition when the number of customers was at its peak. In addition, each store's sales were compared using Pearson's Correlation Coefficient. The findings support that temperature and rain influences are correlated with the number of customers. Furthermore, we discovered that temperature was far more significant than rain in determining the number of customers. The paper discusses the implications of weather to forecast food and beverage demand and predict meal choices.

• Journal of Nutrition and Health
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• v.43 no.5
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• pp.513-523
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• 2010

The food and nutrient intakes on weekdays and weekends was examined with 196 high school girls residing in Seoul using the 3-day food record. Frequency for skipping breakfast was higher than that for lunch and dinner. Frequencies for skipping breakfast and lunch were significantly higher on weekends than on weekdays (p < 0.05). The daily average food, vegetable food, and animal food intakes were 1,074.8 g, 680.0 g, and 317.3 g, respectively. The total food and vegetable food intakes on weekdays were significantly higher than on weekends (p < 0.05). The daily average dietary variety score (DVS) was 20.5, and was significantly higher on weekdays (23.3) than on weekends (15.1)(p < 0.05). The daily averages of energy, protein, fat and carbohydrate intake were 1,732.9 kcal, 68 g, 56.2 g, and 240.9 g, respectively. Energy, protein, carbohydrate, phosphate, iron, sodium, potassium, thiamin, niacin, folate and vitamin C intakes were significantly higher on weekdays than on weekends (p < 0.05). Fat intake was significantly lower on weekdays than on weekends (p < 0.05). The daily average percentages of energy intake from carbohydrate, protein, and fat were 55.4%, 15.6%, and 29.0%: 56.1%, 15.8%, and 28.2% on weekdays and 54.7%, 15.3%, and 30.1% on weekends, respectively. The percentages of energy intake from carbohydrate on weekdays and weekends were below 60%, and that from fat was above 28% on weekdays and weekends. The daily averages of energy, vitamin A, riboflavin, niacin and phosphate intake were above 80% as compared with the estimated energy requirement (EER) or the recommended intake (RI). The intakes of calcium, potassium and folate were below 50% as compared with the adequate intake (AI) or (RI). The daily average mean adequacy ratio (MAR), an index of overall dietary quality, was 0.77, and significantly high school girls was worse on weekends than on weekdays.