• 가정간호학회지
• /
• 제21권2호
• /
• pp.156-165
• /
• 2014

Purpose: This study aimed to investigate the effects of a program for increasing self-care with activities of daily living among the elderly living at home. Methods: The study adopted a non-equivalent control group pretest-posttest design. The number of participants were 30 in the experimental group and 30 in the control group. Participants were persons aged 65 years and above in Busan. The experimental group was provided with for 16 different types of self-care behaviors by family nurses who made weekly home visits to these participants. Each visit lasted for more than 30 minutes, and the visits were conducted for 12 weeks. The research instrument used in this study was a scale developed by Shimanouchi et al. (2003) which assessed self-care behavior, activities of daily living, and depression. Results: The experimental group showed an increase in self-care behavior compared to the control group. Time and group variables were also found to have an interaction effect on the daily living activity level. The experimental group showed an increase in the activities of daily living compared to the control group. Depression scores dropped from 9.4 to 5.8 in the experimental group and from 8.6 to 7.0 in the control group. Conclusion: We found that the self-care behavior program improved the levels of independence and activities of daily living among the elderly living at home.

• 공학교육연구
• /
• 제24권2호
• /
• pp.3-11
• /
• 2021

In the COVID-19 era, it was implemented to be used as a basic material for setting the direction of learning support and student guidance for university institutions and professors who are experiencing confusion. The purpose of this study is to compare the actual status of daily-routines of COVID-19 period, general semester period, and vacation period, and to examine whether there is a difference between the period of general semester and COVID-19 period, and whether there is a difference in daily use of COVID-19 period depending on grade. For this reason, a questionnaire survey was conducted from April 23 to 29, 2020, targeting students of University A, which is a small-scale technical centered university in the region, and 754 students answered. As a result of the study, first of all, when we looked at the trends in the use of daily-routines by period of general semester, vacation period, and COVID-19 period, the trends of the general semester period and COVID-19 period were similar in the areas of learning and self-development. Second, there were statistically significant differences in sleep, relaxation, learning and other areas between the period of the general semester and the duration of COVID-19. Third, there were statistically significant differences over grade in relaxation, learning, development, and other areas.

• 한국지리정보학회지
• /
• 제8권2호
• /
• pp.125-135
• /
• 2005

비점오염 발생은 강우에 의한 지표면 유출과 밀접한 관련이 있는 관계로 모형을 이용한 비점오염 해석은 먼저 유역의 강우-유출의 명확한 관계해석을 필수조건으로 한다. 본 연구는 비점오염 모의에 많이 사용되고 있는 AnnAGNPS 모형의 다양한 유역특성별 강우-유출해석능력을 평가해 보았다. 결과를 통해 AnnAGNPS 모형은 대유역 모의에 적합하며 소유역 및 강우에 대한 유역의 반응시간이 짧은 불투수층이 많은 유역에 적용하는 것은 적합하지 않은 것으로 드러났다. 특히, AnnAGNPS 모형은 모의에 사용하는 시간간격 이 일단위(daily basis)이므로 하루보다 짧은 지속시간의 복합첨두치(mutiple peak flow)를 가지는 강우사상을 표현하는 기능이 없으며 따라서 첨두유량 예측에 상당한 오차 발생의 원인으로 드러났다. 또한 유출해석에 사용되는 CN방법은 지역적인 특성에 맞게 구축된 CN정보가 없는 관계로 초기치 선택에 신중함이 요구되며, 강우의 분포형과 더불어 반드시 주요 검정대상으로 다루어져야 할 매개변수였다.

• 한국수자원학회논문집
• /
• 제44권3호
• /
• pp.221-230
• /
• 2011

최근 우리나라뿐만 아니라 전 세계적으로 기후변화에 따른 국지성 호우의 증가로 피해가 증가하고 있고 그에 따른 대책으로 단기예보의 중요성이 높아지고 있다. 우리나라의 기상청에서는 전구 모형인 GDAPS와 지역 모델인 RDAPS를 이용하여 정량적 예보인 수치 예보를 하고 있다. RDAPS 모델을 이용하여 생성된 자료는 3시간의 누적 강수량으로 48시간에 대한 예측 자료를 12시간 간격으로 00UTC와 12UTC를 생성한다. 본 연구에서는 2005년의 RDAPS의 결과를 9가지의 경우에 대하여 일강수량으로 변환하였으며, 금강유역을 대상으로 면적평균강수량 (MAP)을 산정하였다. 또한, 기상청 강우관측소의 관측강우량과 절대상대오차평균 (AARE)을 산정하여 가장 정확한 변환의 방법을 제시하고 적용성을 검토하였다.

• 한국수자원학회:학술대회논문집
• /
• 한국수자원학회 2022년도 학술발표회
• /
• pp.150-150
• /
• 2022

This study investigates the roles of decomposition methods on high accuracy in daily rainfall prediction from light gradient boosting machine (LightGBM) algorithm. Here, empirical mode decomposition (EMD) and singular spectrum analysis (SSA) methods were considered to decompose and reconstruct input time series into trend terms, fluctuating terms, and noise components. The decomposed time series from EMD and SSA methods were used as input data for LightGBM algorithm in two hybrid models, including empirical mode-based light gradient boosting machine (EMDGBM) and singular spectrum analysis-based light gradient boosting machine (SSAGBM), respectively. A total of four parameters (i.e., temperature, humidity, wind speed, and rainfall) at a daily scale from 2003 to 2017 is used as input data for daily rainfall prediction. As results from statistical performance indicators, it indicates that the SSAGBM model shows a better performance than the EMDGBM model and the original LightGBM algorithm with no decomposition methods. It represents that the accuracy of LightGBM algorithm in rainfall prediction was improved with the SSA method when using multivariate dataset.

• Physical Therapy Rehabilitation Science
• /
• 제11권3호
• /
• pp.363-369
• /
• 2022

Objective: The purpose of this study was to prepare evidence for the prevention and management of nonspecific chronic neck pain (NSCNP) by examining the correlation between activity of daily living and physical activities of office workers with NSCNP. Design: Crossed-sectional study Methods: 89 patients with NSCNP were recruited for this study. But 2 subjects met the exclusion criteria and were dropped out, and 86 subjects finally participated. Numerical pain rating scale (NPRS) and neck disability index (NDI) were used to check the pain intensity and disability of patients with neck pain, respectively. For the activity of daily living, computer use time, sleep time, and driving time were used. To find out the physical activities of the subjects, International Physical Activity Questionnaires (IPAQ-SF) was used. Correlation analysis was performed to find out the correlation of each variable. Results: A clear positive correlation was established between computer use time and pain (p<0.05), and a clear positive correlation was established between computer use time and disability index (p<0.05). The correlation between NPRS and NDI and physical activity total time, high intensity activity score, moderate intensity activity score, and walking score were not statistically significant (p>0.05). Conclusions: In treating patients with NSCNP, it is necessary to reduce the computer usage time as a professional factor or to educate the proper posture. In addition, rather than emphasizing physically comprehensive physical activity, grafting therapeutic exercise directly related to neck pain could have a more positive effect on NSCNP patients.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제16권12호
• /
• pp.3923-3942
• /
• 2022

Environment, price, regulation, and other factors influence the price of agricultural products, which is a social signal of product supply and demand. The price of many agricultural products fluctuates greatly due to the asymmetry between production and marketing details. Horticultural goods are particularly price sensitive because they cannot be stored for long periods of time. It is very important and helpful to forecast the price of horticultural products which is crucial in designing a cropping plan. The proposed method guides the farmers in agricultural product production and harvesting plans. Farmers can benefit from long-term forecasting since it helps them plan their planting and harvesting schedules. Customers can also profit from daily average price estimates for the short term. This paper study the time series models such as ARIMA, SARIMA, and neural network models such as BPN, LSTM and are used for wheat cost prediction in India. A large scale available data set is collected and tested. The results shows that since ARIMA and SARIMA models are well suited for small-scale, continuous, and periodic data, the BPN and LSTM provide more accurate and faster results for predicting well weekly and monthly trends of price fluctuation.

• 대기
• /
• 제24권1호
• /
• pp.101-110
• /
• 2014

This study estimates and evaluates the daily January temperature from 2003 to 2012 with 30 m-resolution over South Korea, using a modified Parameter-elevation Regression on Independent Slopes Model (K-PRISM). Several factors in K-PRISM are also adjusted to 30 m grid spacing and daily time scales. The performance of K-PRISM is validated in terms of bias, root mean square error (RMSE), and correlation coefficient (Corr), and is then compared with that of inverse distance weighting (IDW) and hypsometric methods (HYPS). In estimating the temperature over Jeju island, K-PRISM has the lowest bias (-0.85) and RMSE (1.22), and the highest Corr (0.79) among the three methods. It captures the daily variation of observation, but tends to underestimate due to a high-discrepancy in mean altitudes between the observation stations and grid points of the 30 m topography. The temperature over South Korea derived from K-PRISM represents a detailed spatial pattern of the observed temperature, but generally tends to underestimate with a mean bias of -0.45. In bias terms, the estimation ability of K-PRISM differs between grid points, implying that care should be taken when dealing with poor skill area. The study results demonstrate that K-PRISM can reasonably estimate 30 m-resolution temperature over South Korea, and reflect topographically diverse signals with detailed structure features.

• Asian Pacific Journal of Cancer Prevention
• /
• 제14권5호
• /
• pp.2731-2737
• /
• 2013

Background: This study evaluated the validity and reliability of applying the Katz's Activities of Daily Living (ADL) scale in an Iranian sample of elderly oncologic patients following initial cancer treatment. Materials and Methods: The scale was translated with the forward-backward procedure to give an Iranian version. The ADL scale was then applied in a random sample of 400 oncologic patients aged 60 and older following initial cancer treatment. Assessment of the scale stability was twice, with a 14-days (two weeks) interval, to 30 (of the 400) eligible elderly cancer patients in March 2012. To measure treatment effects, the index was run with 150 patients in a three month recall, following oncology processing. Exploratory and confirmatory factor analysis was performed for assessment of construct validity of the Katz's ADL. Reliability was measured with internal consistency (Cronbach's alpha co-efficient), and test/retest (Spearman's r value) of the instrument. Criterion validity was evaluated by comparing the Katz with Physical Function (PF) subscale of SF 36. Known-group validity was approved by comparing of Katz' ADL between quartile groups of PF subscale of SF 36. Results: In our study the ADL demonstrated a high degree of internal homogeneity (Cronbach's alpha 0.923). There was a high correlation between scores of two time measurement of Katz's ADL (p value of two- related- samples test was 0.3). Construct validity showed a correlation coefficient of 0.572 between the ADL and PF scores. In factor analysis, 2 factors were extracted. Evidence for the reliability of the questionnaire was good and known group validity was approved by significant differences of ADL score between quartiles of the PF subscale of SF36. Conclusions: The results suggest that the Iranian version of ADL applied for oncologic older adult patients following initial cancer treatment is a reliable and a valid clinical instrument and comparable to those reported in other studies.

• Journal of Acupuncture Research
• /
• 제33권3호
• /
• pp.181-187
• /
• 2016

Objectives : The purpose of this study is to report the clinical effects of 8 constitution acupuncture on a patient with complex regional pain syndrome (CRPS) type I. Methods : In this study, a patient with CRPS was treated by 8 constitution acupuncture therapy. He was diagnosed in the Cholecystonia of 8 constitution diagnosis. The progress of symptoms were evaluated by visual analog scale (VAS) and sleeping time. VAS and sleeping time were evaluated at 7:00 am daily. Results : VAS decreased from 10 to 4, while sleeping time increased from 30 minutes to 3 hours. Conclusion : The results suggest that 8 constitution acupuncture is effective for treating symptoms of CRPS type I.