• Journal of environmental and Sanitary engineering
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• v.23 no.4
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• pp.65-71
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• 2008

To drive efficiently total water pollution load management, needs to calculate the exact load emissions, pollution load allocation and implementation evaluation in each unit area of watershed and accurate and regular flow of data. For these reasons, the Nakdong River TMDL Research Center has produced directly or indirectly in the average interval of eight days (30 times or more / year) 41 points for unit area of the total water pollution load management and 8-point of municipal requirement for a total of 49 branches as a flow data in 2004 from August. This acquired the survey flow is evidence of trends and changes each point in the Nakdong River based on time, such as 10 years based on average design flow available to the foundation of the summit as the major water policy is to be utilized. This study was performed on actual discharge measuring data and introduced performance results each drainage basin of Nakdong River from 2004 to 2008 over the total of past five years.

• International Journal of Highway Engineering
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• v.19 no.2
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• pp.35-44
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• 2017

PURPOSES: This study suggests a specific methodology for the prediction of road surface temperature using vehicular ambient temperature sensors. In addition, four kind of models is developed based on machine learning algorithms. METHODS : Thermal Mapping System is employed to collect road surface and vehicular ambient temperature data on the defined survey route in 2015 and 2016 year, respectively. For modelling, all types of collected temperature data should be classified into response and predictor before applying a machine learning tool such as MATLAB. In this study, collected road surface temperature are considered as response while vehicular ambient temperatures defied as predictor. Through data learning using machine learning tool, models were developed and finally compared predicted and actual temperature based on average absolute error. RESULTS : According to comparison results, model enables to estimate actual road surface temperature variation pattern along the roads very well. Model III is slightly better than the rest of models in terms of estimation performance. CONCLUSIONS : When correlation between response and predictor is high, when plenty of historical data exists, and when a lot of predictors are available, estimation performance of would be much better.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.22 no.4
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• pp.25-33
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• 2014

As global warming becoming an environmentally serious issue, more attention is drawn to fuel consumption which is the direct source of green house gas emission. The fuel consumption by aircraft operation is not an exception. Motivated by the societal and environmental context, this paper explains a method for estimation of aircraft fuel consumed during their flights as well as the computational process using real flight track data. Applying so-called 'Total Energy Model' along with aircraft specific parameters provided in EUROCONTROL's Base of Aircraft Data (BADA) to aircraft radar track data, we estimate fuel consumption of individual aircraft flown between Gimpo and Jeju airports. We then assess the estimation accuracy by comparing the estimated fuel consumption with the actual one collected from an airline. The computational results are quite encouraging in that the method is able to estimate the actual fuel consumption within ${\pm}6{\sim}11%$ of error margin. The limitations and possible enhancements of the method are also discussed.

• Journal of Applied Reliability
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• v.17 no.4
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• pp.296-304
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• 2017

Purpose: Recent weapon systems in defense have increased the complexity and importance of software when developing multifunctional equipment. In this study, we analyze the accuracy of the proposed software reliability model when applied to weapon systems. Methods: Determine the similarity between software reliability analysis results (prediction/estimation) utilizing data from developing weapon systems and system failures data during operation of weapon systems. Results: In case of a software reliability prediction model, the predicted failure rate was higher than the actual failure rate, and the estimation model was consistent with actual failure history data. Conclusion: The software prediction model needs to adjust the variables that are appropriate for the domestic weapon system environment. As the reliability of software is increasingly important in the defense industry, continuous efforts are needed to ensure accurate reliability analysis in the development of weapon systems.

• Journal of the Korean Solar Energy Society
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• v.35 no.3
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• pp.1-8
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• 2015

The MERRA reanalysis data provided online by NASA was applied to predict the monthly energy productions of Donghai Bridge Offshore wind farms in China. WindPRO and WindSim that are commercial software for wind farm design and energy prediction were used. For topography and roughness map, the contour line data from SRTM combined with roughness information were made and used. Predictions were made for 11 months from July, 2010 to May, 2011, and the results were compared with the actual electricity energy production presented in the CDM(Clean Development Mechanism)monitoring report of the wind farm. The results from the prediction programs were close to the actual electricity energy productions and the errors were within 4%.

• Journal of Multimedia Information System
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• v.6 no.2
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• pp.107-118
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• 2019

This paper deals with actual optical data from rural as well as urban areas in a nationwide study captured with Fisheye cameras. Simultaneously data was collected (of the receiving power density) from the mobile communications satellite N-STAR. The visibility of the satellite is easily determined by checking the value of the pixels in the binarized fisheye image of its position. The process of determining the visible satellite is automatically performed. Based on the analyses of the field data measured in Japan, we are expecting HEOs (Highly inclined Elliptical Orbiters) that would reduce blockage in the extreme northern region of Wakkanai City well as in the most crowded urban area, in Tokyo Ginza. In case of HEOs operation, the elevation angle will improve from 37 with N-STAR GEO to 75 degrees. HEOs could replace 5G/Ka-band or support in rural areas where broadband circuit is not available. We are proposing combination operations with HEOs and 5G/Ka-band to solve blockage problems, because HEOs can keep line-of-sight propagation with high elevation angle for long duration. In such operations, the communications profile on the vehicle based on actual optical data will be very useful to predict blockages and to select/switch a suitable circuit.

• Korean Journal of Human Ecology
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• v.22 no.1
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• pp.57-74
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• 2013

The purpose of this study was to identify how age-identity is associated with the attitude toward the elderly and self-esteem of the aged. The subjects were 366 adults aged 60 and over. The statistics used for the data analysis were reliability test, frequency, percentage, mean, standard deviation, one way ANOVA, correlation and multiple regression. The results of this study were as follows; First, The majority of elderly acknowledged psychological ages as their actual ages. Secondly, The degrees of elderlys' age-identity was 2.12, and the levels of the attitude toward the elderly was 60.62. Also, The degrees of elderlys' self-esteem was 24.16. The surveyed data showed higher means than medians. Third, The age-identity of elderly was significant with respect to spouse, religion, career, living state, sex, age, gap of actual age, health state, economic state, education, monthly living expenses. And the attitude toward the elderly was stastically significant with respect age-identity, career, spouse, religion, living state, health state, education, monthly living expenses, economic state, gap of actual age, and age. Moreover, The elderlys' self-esteem level was significant with respect to spouse, age-identity, living state, religion, career, economic state, monthly living expenses, the attitude toward the elderly, health state, education, and age. Finally, The variables affecting the age-identity of elderly were health state, economic state, religion, age that explained about 34% of the total variance. And The attitude toward the elderly were age-identity, health state, gap of actual age that explained about 19% of the total variance. Also, The variables that affect elderlys' self-esteem were economic state, age-identity, the attitude toward the elderly, sex, monthly living expenses that explained about 33% of the total variance.

• Journal of Labour Economics
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• v.37 no.1
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• pp.1-28
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• 2014

We use a set of Korea panel data to estimate effects of legal working hours reduction on actual hours worked and employment effects, through panel econometrics methods. Taking account of sequential decrease in legal hours worked since 2004, we estimate the relationship between legal and actual working hours by size of industries. It is found that one hour reduction of legal hours per week caused 0.44 to 1.05 actual hours worked on average per week, depending on different industrial sizes. Also, estimated employment effects were not unanimously determined, rather they turn out to be clearly size-dependent, which provide different results from exiting literature. Our analysis proposed in this work can be restrictive as, for instance, there is significant lack of data for foreign workers, particularly in the small-sized industries. Subsequent empirical analysis is expected.

• Journal of Korean Academy of Nursing
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• v.28 no.3
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• pp.695-704
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• 1998

This study aims for examines the actual physical symptom and stress in caregivers of patients with cerebrovascular disease. The data were collected by a survey conducted from August to September, 1997 which included 65 caregivers of cerebrovascular disease patients in 4 hospitals located in Seoul. The caregiver's stress was measured by Choi (1992)'s instrument and the actual physical symptoms were investigated. The data were analyzed using ANOVA, Scheffe test, Pearson correlation coefficient and stepwise multiple regression. The results were as follows : 1. The mean number of caregiver's physical symptom was 3.5. There were significantly higher number of physical symptom in women, those of who have a religious affiliation, those of who perceive their own health status perceived as bad, and those of who perceived their patients disease condition as serious than in their counterparts. Also, the number of caregiver's physical symptom was significantly higher in caregivers whose patients have a paralysis sypmtom and the disease onset as accident than in caregivers whose patients have no paralysis symptom and the disease onset as spontaneous. 2. The average of caregiver's stress was 57.9. The caregiver's stress was the highest in between the ages of 50 and 59. There were also significantly higher level of stress in women, those of who perceived the disease condition of their patients as serious than in their counterparts. 3. The most common caregiver's physical symptom was fatigue(87.7%). This was followed by insomnia(58.5%) and muscle pain(47.7%). 4. Caregiver's physical sypmtom was positively correlated with caregiver's stress and negatively correlated with patient's activity of daily life. 5. The most important vairable affecting the caregiver's physical symtom was patient's activity of daily life which accounted for 12.7% of the total variance in stepwise multiple regression analysis. The most important vairable affecting the caregiver's stress was the patient disease condition perceived by the caregiver that accounted for 12.1% of the total variance.

• Journal of Family Resource Management and Policy Review
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• v.13 no.3
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• pp.247-280
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• 2009

The purpose of this study was to investigate the actual conditions of management of the healthy family field practicum and to present suggestions for its improvement. For this purpose, a preliminary investigation, survey, data analysis, interview as secondary source, and final data analysis were processed as research methods. The subjects of this study were the 42 supervisors in the centers which oversee the field practicum experience and the 12 supervisors in the centers which do not oversee the field practicum experience. 3 supervisors were interviewed to inquire about the reformation of field instruction in Healthy Family Support Centers. Analysis was made of the general characteristics of the above-mentioned 54 supervisors, including sex, age, academic background, certificate of qualification, class of position, and length of career related to the healthy family program. The environment of the field practice, such as the numbers of students supervised, time of field practice, practice hours, and so on, was examined in the centers which oversee the field practicum experience. The actual condition of operation investigated was divided into the preparatory stage, the early stage, the midterm stage, and the end stage. Research was conducted on the improvement of the field practicum, including the proper number of students supervised, adequate practice hours, interaction with universities or colleges, obstacles to the field practicum, and of practicum. The possibility and preparation of a further field practicum was conducted for 12 Healthy Family Support Centers, by inquiring about (a) the reasons for not overseeing the field practicum experience and (b) the needs of universities or colleges for a field practicum. The 54 supervisors surveyed suggested a particular need for improvement in human resources, the space of field instruction, system of field practicum, length of practice hours, orientation for students etc. This study investigated the actual conditions and suggested improvements of the field practicum in Healthy Family Support Centers. Therefore, its results should be meaningfully used to develop the Field Practicum for the Healthy Family and to conduct further studies.