• 산업경영시스템학회지
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• 제39권1호
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• pp.25-30
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• 2016

It is critical to forecast the maximum daily and monthly demand for power with as little error as possible for our industry and national economy. In general, long-term forecasting of power demand has been studied from both the consumer's perspective and an econometrics model in the form of a generalized linear model with predictors. Time series techniques are used for short-term forecasting with no predictors as predictors must be predicted prior to forecasting response variables and containing estimation errors during this process is inevitable. In previous researches, seasonal exponential smoothing method, SARMA (Seasonal Auto Regressive Moving Average) with consideration to weekly pattern Neuron-Fuzzy model, SVR (Support Vector Regression) model with predictors explored through machine learning, and K-means clustering technique in the various approaches have been applied to short-term power supply forecasting. In this paper, SARMA and intervention model are fitted to forecast the maximum power load daily, weekly, and monthly by using the empirical data from 2011 through 2013. $ARMA(2,\;1,\;2)(1,\;1,\;1)_7$ and $ARMA(0,\;1,\;1)(1,\;1,\;0)_{12}$ are fitted respectively to the daily and monthly power demand, but the weekly power demand is not fitted by AREA because of unit root series. In our fitted intervention model, the factors of long holidays, summer and winter are significant in the form of indicator function. The SARMA with MAPE (Mean Absolute Percentage Error) of 2.45% and intervention model with MAPE of 2.44% are more efficient than the present seasonal exponential smoothing with MAPE of about 4%. Although the dynamic repression model with the predictors of humidity, temperature, and seasonal dummies was applied to foretaste the daily power demand, it lead to a high MAPE of 3.5% even though it has estimation error of predictors.

• 정신신체의학
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• 제5권1호
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• pp.97-107
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• 1997

As a preliminary step to develop the Daily stress Inventory(DSI) for assessing minor stressors frequently experienced in everyday lift. We examined the reliability and validity of the DSI. The Daily Stress Inventory(DSI), the Beck Depression Inventory(BDI), the State-Trait Anxiety Inventory(STAI), the Social Readjustment Rating Scale(SRRS) and the Minnesota Multiphasic Personality Inventory(MMPI) were administered to 111 college students. Compared with the weekly DSI Event, Impact and I/E ratio scores of the American college students, the weekly event and I/E ratio scores of the Korean college students were significantly higher but weekly Impact score was lower. The internal consistency reliability of the DSI as computed by Cronbach alpha was .98. The DSI I/E ratio scores were significantly correlated with the scores of State Anxiety$({\gamma}=.27)$ and Trait Anxiety${\gamma}=.24)$, but not with BDI scores. And the SSRS scores were not significantly correlated to the DSI Event or Impact and In ratio scores. Significant correlations were revealed between the DSI Impact scores and the Sc and Ma scales of the MMPI. And the correlation between the DSI I/E ratio scores and the L, D, Hy, Pd and Pa scales of the MMPI was also significant. But no significant correlation was found between the DSI Event scores and all the scales of the MMPI. This study suggests that the DSI can be a reliable and valid tool to assess the minor stress frequently experienced in everyday life future study should be directed to obtain normative data based on more varied and larger population. Especially gathering additional evidences for the validity of the DSI using other minor stressor scale will be required.

• Human Ecology Research
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• 제58권4호
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• pp.483-496
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• 2020

This study examined the effects of eating alone, meal type, and dietary lifestyles on healthy eating capability of one-person households. We analyzed the mediation effects of weekly frequencies of each meal type taken by one-person households between eating habits such as eating alone and dietary lifestyles of one-person households and healthy eating capability. We also analyzed data from the 2019 Food Consumption Behavior Survey using a sample of 688 one-person households. Factor analysis, latent profile analysis, structural equation model analysis was conducted; direct and indirect effects of independent variables were tested using bootstrap method. The major results were as follows. Frequency of eating alone was about 10 times a week on average; one-person households had home-made meals about 12 times a week, for restaurant meals, 4 times, for delivered/take-out food, 0.39 times, and for other types, 0.44 times. Weekly frequencies of eating alone and meal types taken by one-person households were significantly different among the different socio-demographic groups. Dietary lifestyle was classified into four classes: traditional, health ignorant, food lifestyle ignorant, and balanced. Eating alone and dietary lifestyle had a significant effect on weekly frequency of each meal type. Frequencies of eating alone, balanced dietary lifestyle, and taking home-made meals had a positive direct effect on healthy eating capability, and frequency of taking delivered or take-out food and food consumption ignorant lifestyle had a negative direct effect. Eating alone, balanced and traditional dietary lifestyles had a positive indirect effect through the meal type; however, watching Mug-bang had a negative indirect effect.

• Tuberculosis and Respiratory Diseases
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• 제82권3호
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• pp.211-216
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• 2019

Background: Docetaxel is one of the standard treatments for advanced non-small cell lung cancer. Docetaxel is usually administered in a 3-week schedule, but there is significant toxicity. In this phase II clinical study, we investigated the efficacy and safety of a 4-weekly schedule of docetaxel monotherapy, as first-line chemotherapy for advanced squamous cell carcinoma in elderly lung cancer patients. Methods: Patients with stage IIIB/ IV lung squamous-cell carcinoma age 70 or older, that had not undergone cytotoxic chemotherapy were enrolled. Patients received docetaxel $25mg/m^2$ on days 1, 8, and 15, every 4 weeks. Primary endpoint was the objective response rate (ORR). Secondary endpoints were progression-free survival (PFS), overall survival (OS), and toxicity profiles. Results: A total of 19 patients were enrolled. Among 19 patients, 17 were for evaluated efficacy and safety. In the intent-to-treat population, ORR and disease control rate (DCR) were 11.8% and 47.1%, respectively. In the response evaluable population, ORR was 16.7% and DCR was 66.7%. Median PFS and OS were 3.1 months and 3.3 months, respectively. There were three adverse grade 3/4 events. Grade 1 neutropenia was reported in one patient. Conclusion: Our data failed to demonstrate efficacy of a 4-weekly docetaxel regimen, in elderly patients with a poor performance status. However, incidence of side effects, including neutropenia, was lower than with a 3-week docetaxel regimen, as previously reported.

• Journal of Preventive Medicine and Public Health
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• 제54권3호
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• pp.199-207
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• 2021

Objectives: Physical inactivity is the fourth leading global risk factor for mortality, followed by obesity. The combination of these risk factors is associated with non-communicable diseases, impaired physical function, and declining mental function. The World Health Organization recommends physical activity to reduce the mortality rate. Thus, this study examined the effects on anthropometric measurements of a 12-week walking program for elderly people in Samarahan, Sarawak, Malaysia with a 7000-step goal and weekly group walking activities. Methods: A quasi-experimental study was conducted involving 109 elderly people with a body mass index (BMI) ≥25.0 kg/m². BMI, body composition, and average daily steps were measured at baseline, 6 weeks, and 12 weeks. Data were analyzed using SPSS version 26.0, and repeated-measures analysis of variance with the paired t-test for post-hoc analysis was conducted. Results: In total, 48 participants in the intervention group and 61 participants in the control group completed the study. A significant interaction was found between time and group. The post-hoc analysis showed a significant difference between pre-intervention and post-intervention (within the intervention group). The post-intervention analysis revealed an increase in the mean number of daily steps by 3571.59, with decreases in body weight (-2.20 kg), BMI (-0.94 kg/m²), body fat percentage (-3.52%), visceral fat percentage (-1.29%) and waist circumference (-2.91 cm). Skeletal muscle percentage also showed a significant increase (1.67%). Conclusions: A 12-week walking program combining a 7000-step goals with weekly group walking activities had a significant effect on the anthropometric measurements of previously inactive and overweight/obese elderly people.

• 한국ITS학회 논문지
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• 제21권6호
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• pp.194-210
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• 2022

최근 정부가 지향하고 있는 이용자 중심의 충전인프라 구축방향은 실제 전기차 이용자들의 편의를 높이며, 새로운 전기차 이용자를 시장으로 유입할 수 있는 중요한 정책이다. 본 연구는 이러한 정책의 수립에 기초자료로 활용될 수 있는 실제 전기차 이용자들의 충전행태에 대한 깊이 있는 이해를 제공하는 것을 목적으로 수행되었다. 일주일 동안 수집된 충전일지 자료에 기반하여 전기차 이용자들의 충전행태를 일단위 및 주단위로 분석하였으며, 순차패턴 분석과 잠재계층 분석을 활용하였다. 그 결과, 5가지 일단위 충전 프로파일과 4가지 주단위 충전 프로파일을 도출하였으며, 이는 향후 이용자 중심 충전인프라 정책 수립뿐만 아니라 잠재 전기차 이용자들의 의사결정에 핵심적인 정보를 제공하여 전기차 시장을 활성화하는데도 기여할 것으로 판단된다.

• Korean Journal of Mathematics
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• 제22권3호
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• pp.529-552
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• 2014

As we know, some indices and data are strong influence to the price movement of some assets now, but not to another assets and in future. Thus we define some asset models for several time intervals; intraday, weekly, monthly, and yearly asset models. We define these asset models by using Brownian motion with volatility and Poisson process, and several deterministic functions(index function, twitter data function and big-jump simple function etc). In our asset models, these deterministic functions are the positive or negative levels of auxiliary indices, of analyzed data, and for imminent and extreme state(for example, financial shock or the highest popularity in the market). These functions determined by indices, twitter data and shocking news are a kind of one of speciality of our asset models. For reasonableness of our asset models, we introduce several real data, figurers and tables, and simulations. Perhaps from our asset models, for short-term or long-term investment, we can classify and reference many kinds of usual auxiliary indices, information and data.

• 한국농공학회지
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• 제42권
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• pp.24-30
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• 2000

A system for evaluating streamflow data (KORSAS) was developed, and is operated using PC based Windows to help the hydrological observation practitioner's working in Korea Water Resources Corporation (KOWACO). This system has modules including; DB access and data management, flow measurement arranging, H-Q relation deriving, area rainfall calculating, flow calculating, and flow evaluating modules. Evaluation of observed streamflow is accomplished through the following processes. First, hourly streamflow data is calculated from water level data stored in a DB server by applying the rating relationship between water level and flow rates derived from the past flow measurements. Second, hourly areal rainfal data is calculated from point data stored in the DB server by applying Thiessen networks. Third, hydrographs are displayed on a daily, weekly, monthly, or seasonal duration basis, and are compared to hydrographs of reservoir inflow, hydrographs at water level observation stations and hydrographs derived from simulated results using models.

• 대한간호학회지
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• 제46권4호
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• pp.552-561
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• 2016

Purpose: The purpose of this study was to investigate factors influencing lifetime smoking and current smoking among adolescents in South Korea. Methods: Hierarchical logistic regression was conducted based on complex sample analysis using statistics from the 10th (2014) Korea Youth Risk Behavior Web-Based Survey. The study sample comprised 72,060 adolescents aged 12 to 18. Results: The significant factors influencing adolescent lifetime smoking were female gender, older age, higher stress, higher weekly allowance, lower economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school. The significant factors influencing adolescent current smoking were female gender, older age, higher stress, higher weekly allowance, both higher and lower economic status compared to middle economic status, living apart from parents, parental smoking, sibling smoking, peer smoking, observation of school personnel smoking, and coed school compared to boys' school. Conclusion: Factors identified in this study need to be considered in programs directed at prevention of adolescent smoking and smoking cessation programs, as well as policies.

• Human Ecology Research
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• 제54권5호
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• pp.541-550
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• 2016

This study explored a typology (or time allocation), investigated personal and work characteristic differences among time allocation types, and identified determinants of time allocation types of married working women with a preschool child. The data source for this research was the 2014 Time Use Survey conducted by Statistics Korea. We analyzed 368 time diaries (184 for weekdays and 184 for weekends) using frequency, mean, cluster analysis, chisquare, analysis of variance (ANOVA), Duncan's test, and multinomial logistic analysis. The results of this research are as follows. Time allocation of married working women with a preschool child was classified into three different types of 'work-centered,' 'work-family balanced,' and 'family-centered.' The work-centered type accounted for 14.7% of total respondents, and compared with other types, this type of people spent more time working, and less time doing house-work, caring for family, and having leisure. The work-family balanced type represents more than half of the total, and spend more time working on weekdays and house-working, having leisure on weekends. The family-centered type represents 28.8%, and spends most of the time doing house-work and caring for family on both weekdays and weekends. Occupation, employment status, monthly income, and weekly hours of work were different for each type. Occupation, employment status, perception of lack of time, health condition, and weekly hours of work were identified as determinants for each type.