• The Korean Journal of Health Service Management
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• v.10 no.3
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• pp.75-84
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• 2016

Objectives : The aim of this study was to compare a treatment focusing on the physical function to an intervention focusing on a cognitive strategy in stroke patients which improves their performance skills of daily activities. Methods : This study design was a randomized control trial selecting 43 people with stroke patients. This study consisted of a control group, which received conventional occupational therapy focusing on physical function, and an experimental group which was trained to develop a cognitive strategy by themselves. Both groups each received 10 sessions of the treatment. This study compared the skills for performing daily activities before and after the intervention and analyzed the data with SPSS Ver. 18.0. Results : This study showed a significant improvement in all performance skills in the experimental group (p<.05). There was no statistically significant difference in the performance skills before and after the intervention in the control group (p>.05). Conclusions : It was verified that stroke patients to develop a cognitive strategy by themselves is more effective than to improve the physical function in performance skills for daily activities.

• Journal of Korean Society on Water Environment
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• v.25 no.6
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• pp.972-978
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• 2009

This study modifies the present total maximum daily load (TMDL) system of Ministry of Environment and applies to the Anyangcheon watershed. Hydrologic Simulation Program-FORTRAN (HSPF) model is used to simulate both runoff and non-point source pollution, simultaneously, instead of QUAL2E. The drought flow (355th daily flow) is proposed for the target water quantity since it is easier to satisfy low flow (275th daily flow) for the target water quality than drought flow. The increase of discharge is more than the increase of pollutant load except for the period under low flow. The measured unit loads for non-point source are used to consider the regional runoff characteristics. The measured water quantity and quality data are used since the ministry of environment supports only water quality. This analysis results show some reasons for the improvement of the present TMDL system of Korea.

• Magazine of the Korean Society of Agricultural Engineers
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• v.40 no.1
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• pp.68-77
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• 1998

The purpose of this paper is to establish a method estimating the daily urban water demand using statistical analysis that is used for developing the efficient management and operation of the water supply facilities, and accurary of the model is verified by error rate and F-value. The data used in this study were the daily urban water use, the weather conditions such as temperature, precipitation, relative humidity, etc, and the day of The week. The case study was taken placed for the city of Namwon in Korea. The raw data used in this study were rearranged either by month or by season for analysis purpose, and the statistical analysis was applied to the data to obtain the regression model As a result of this study, the linear regression model was developed to estimate the daily urban water use with weather condition. The regression constant and coefficients of the model were determined for each month of a year. The accuracy of the model was within 3% of average error and within 11% of maximum error. The resulting model was found to he useful to the practical operation and management of the water supply facilities.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.387-396
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• 2020

Wearable biosensors have the potential to non-invasively and continuously monitor seniors' stress in their daily interaction with the urban environment, thereby enabling to address the stress and ultimately advance their outdoor mobility. However, current wearable biosensor-based stress detection methods have several drawbacks in field application due to their dependence on batch-learning algorithms. First, these methods train a single classifier, which might not account for multiple subjects' different physiological reactivity to stress. Second, they require a great deal of computational power to store and reuse all previous data for updating the signle classifier. To address this issue, we tested the feasibility of online multi-task learning (OMTL) algorithms to identify multiple seniors' stress from electrodermal activity (EDA) collected by a wristband-type biosensor in a daily trip setting. As a result, OMTL algorithms showed the higher test accuracy (75.7%, 76.2%, and 71.2%) than a batch-learning algorithm (64.8%). This finding demonstrates that the OMTL algorithms can strengthen the field applicability of the wearable biosensor-based stress detection, thereby contributing to better understanding the seniors' stress in the urban environment and ultimately advancing their mobility.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.205-209
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• 2015

A significant amount of data including ongoing construction activities, work quantities, resources utilized by contractors, and site conditions is collected in highway construction sites on a daily basis by resident engineers. This data is commonly known as daily work reports (DWRs) in the U.S. Although a lot of time and effort is invested in collecting the DWR data, its utilization has been very limited. This paper discusses current practices of collecting and utilizing DWR data among various Departments of Transportation in the U.S., and discusses the challenges and opportunities for better collection and utilization of the data. An extensive literature review and two nationwide surveys in the U.S. were conducted as a part of this study. Finally, it provides a set of recommendations to effectively address the challenges identified and maximize the benefits of utilizing DWR data such as supporting various decisions for highway project development process. The findings of this study are implementable ideas that can aid DOTs in making data-driven decisions throughout the project development processes in the future.

• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.25-43
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• 2004

This study is aimed at determining stress and the degree of stress coping among nurse as well as such general characteristics as daily life styles, duty, and socio-demographic characteristics of that group. 525 nurses, from four university hospitals in Daejeon city underwent a self-administered questionnaire during the 3-week period from July. 21 to August. 9, 2003. The questions focused on general characteristics including： socio-demographic and duty characteristics, daily life styles, and stress and methods of coping with stress. Based on the distribution of degree of stresses, 66.1% of the study subjects were at the potential risk of stress, with the high risk group constituting 30.3% and the normal group 3.6%. The stress and the degree of stress coping were shown to be affected by socio-demographic and job-related characteristics as well as daily life styles. The group at higher risk of stress was shown to have a lower degree of coping with stress, implying that a lower degree of coping with stress would in turn heighten the occurrence of stress. Therefore, it is required to develop an effective strategy that includes stress-reduction programs available in the field and prompting further build-up of comprehensive stress-management programs.

• The Korean Journal of Health Service Management
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• v.6 no.4
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• pp.27-36
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• 2012

This study was to identify oral health status, O'Leary index and OIDP for the preventive oral prophylaxis among adults who visited dental hospitals or clinics from 30th September in 2011 to 31th May in 2012. The results are as follows. In DMFT, female(8.79) was higher than male(7.65)(p<.05). Housewife(9.70) and agriculture fishery industry was higher than others(p<.01). In O'Leary index, male(47.41), over 50 years old and 200~300 million won were higher than others. but these results wasn't significantly different. The majority answer about discomfort feeling in OIDP was during meal(66.7), and period of discomfort was 1~2 time/month(29.6). The discomfort feeling in OIDP effected on meal(40.8)and teeth brushing(50.0). The difficulty in daily life were toothache(21.0), cold feeling(20.8), and crowding(19.3). In conclusion, the negative factor of oral health status didn't effect daily life. These findings are require of development of oral health management program which included the prevention of toothache and cold feeling.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.7
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• pp.1-9
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• 2021

This paper investigates the impact of the domestic and global outbreak of the coronavirus (COVID-19) pandemic on the trading size of the Malaysian stock (MS) market. The theoretical model posits that stock markets are affected by their response to disasters and events that arise in the international or local environments, as well as to several financial factors such as stock volatility and spread bid-ask prices. Using daily time-series data from 27 January to 12 May 2020, this paper utilizes the traditional Augmented Dickey and Fuller (ADF) technique and Zivot and Andrews with structural break' procedures for a stationarity test analysis, while the autoregressive distributed lag (ARDL) method is applied according to the trading size of the MS market model. The analysis considered almost all 789 listed companies investing in the main stock market of Malaysia. The results confirmed our hypotheses that both the daily growth in the active domestic and global cases of coronavirus (COVID-19) has significant negative effects on the daily trading size of the stock market in Malaysia. Although the COVID-19 has a negative effect on the Malaysian stock market, the findings of this study suggest that the COVID-19 pandemic may have an asymmetric effect on the market.

• Hwankyungkyoyuk
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• v.23 no.3
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• pp.62-81
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• 2010

We are easily supposed to think that outdoor EE can help make Eco-Sense, furthermore 'Eco' means nature and natural resource itself. Relatively we are likely to think indoor EE is something theoretical or knowledge-oriented. It comes from our strong beliefs going into nature would be best choice for feeling Eco-mind. But every place in our daily life could be space for finding Eco-feeling(mind), as far as the relation to life in there. No life without ecological relation, so firstly we need to be rethink Eco-feeling could be enough trained in daily life, our EE trends that have distinguished between indoor and outdoor should be rearranged, going there is just for when we unavoidably need to go for outdoor experience. So I focus on two special causes bringing out these biases, 1st Environmental management-thinking, which has been passed over this trend under the name of training environmentally responsible citizen through Awareness, Knowledge, Skill and Attitudes. 2nd important cause is cultural metaphors, which means our thinking is fixed into some patterns, losing cultural thinking diversity, although eco-culture in our daily life has been figured our daily life out as ecological phenomenon hermeneutically. To illustrate this problematic trends, this paper will introduce theories of Bateson G. and Bowers C.A. mainly, who insist fixed pattern-thinking bound for environmental management could be obstacles to make students see and have Ecological intelligence in their mind throughout daily life. This paper will focus on how to feel Eco-mind in our daily life through cultural experience. Representative way for this is to research on rice paddy eco-system and rice culture.

• Magazine of the Korean Society of Agricultural Engineers
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• v.30 no.3
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• pp.95-105
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• 1988

This study refers to the development of a hydrologic model simulating daily inflow and release rates for irrigation reservoirs. A daily - based model is needed for adequate operation of an irrigation reservoir sufficing the water demand for paddy fields which is closely related to meteorological conditions. And the objective or this study is to develop a Daily Irrigation Reservoir Operation Model(DIROM) combining the inflow and the release models which depicts the daily water level fluctuations of an irrigation reservoir, and to evaluate the applicability of the model. DIROM was applied to four reservoirs and daily water levels were simulated and compared to the observed data. The model behaviour was also compared with that of a ten - day based model, Reservoir Operation Study(ROS) which has been applied for determining the design capacity of reservoirs. Various combinations of measured and simulated inflow and release rates for tested reservoirs were used to define the daily water level fluctuations. Simulated release rates and measured inflow data resulted in larger errors, and simulated inflow and release rates produced the smallest errors in water level comparison. Two resevoir operation models, DIROM and ROS were applied to the same reservoir and the simulation results compared. The computational errors of DIROM ware smaller than those of ROS, and DIROM was more sensitive to meteorological conditions. DIROM demonstrated its potenial applicability in water management and operation.