• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.5
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• pp.43-50
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• 2003

This presents a fault detecting method for a power transformer based upon a neural network. To maintain a normal relay operating conditions, external winding faults of a power transformer and magnetic inrush have been tested under consideration of the EMTP/ATP software and internal faults of power transformer have been tested by the EMTP/BCTRAN software. The neural network has been evaluated by the proposed fault. Input variables of the neural network for the proposed model can be obtained from fundamental currents, restraining and operating currents. This algorithm uses back-propagation and the ratio of a restraining current and an operating current as relay input parameters. The ratio may enhance the fault detection since the restraining currents increase rapidly at external faults. The proposed detecting method has been applied to the practical relay systems for transformer protection. As a result, the proposed detecting method based on the neural network has been shown to have better characteristics.

• Structural Engineering and Mechanics
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• v.72 no.6
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• pp.675-687
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• 2019

As the bridges are an integral part of the transportation network, their function as one of the most important vital arteries during an earthquake is fundamental. In a design point of view, the bridges piers, and in particular the wall piers, are considered as effective structural elements in the seismic response of bridge structures due to their cantilever performance. Owing to reduced seismic load during design procedure, the response of these structural components should be ductile. This ductile behavior has a direct and decisive correlation to the development of plastic hinge region at the base of the wall pier. Several international seismic design codes and guidelines have suggested special detailing to assure ductile response in this region. In this paper, the parameters which affect the length of plastic hinge region in the reinforced concrete bridge with wall piers were examined and the sensitivity of these parameters was evaluated on the length of the plastic hinge region. Sensitivity analysis was accomplished by independently variable parameters with one standard deviation away from their means. For this aim, the Monte Carlo simulation, tornado diagram analysis, and first order second moment method were used to determine the uncertainties associated with analysis parameters. The results showed that, among the considered design variables, the aspect ratio of the pier wall (length to width ratio) and axial load level were the most important design parameters in the plastic hinge region, while the yield strength of transverse reinforcements had the least effect on determining the length of this region.

• Nutrition Research and Practice
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• v.8 no.1
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• pp.94-102
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• 2014

Diet attrition and failure of long term treatment are very frequent in obese patients. This study aimed to identify pre-treatment variables determining dropout and to customise the characteristics of those most likely to abandon the program before treatment, thus making it possible to modify the therapy to increase compliance. A total of 146 outpatients were consecutively enrolled; 73 patients followed a prescriptive diet while 73 followed a novel brief group Cognitive Behavioural Treatment (CBT) in addition to prescriptive diet. The two interventions lasted for six months. Anthropometric, demographic, psychological parameters and feeding behaviour were assessed, the last two with the Italian instrument VCAO Ansisa; than, a semi-structured interview was performed on motivation to lose weight. To identify the baseline dropout risk factors among these parameters, univariate and multivariate logistic models were used. Comparison of the results in the two different treatments showed a higher attrition rate in CBT group, despite no statistically significant difference between the two treatment arms (P = 0.127). Dropout patients did not differ significantly from those who did not dropout with regards to sex, age, Body Mass Index (BMI), history of cycling, education, work and marriage. Regardless of weight loss, the most important factor that determines the dropout appears to be a high level of stress revealed by General Health Questionnaire-28 items (GHQ-28) score within VCAO test. The identification of hindering factors during the assessment is fundamental to reduce the dropout risk. For subjects at risk, it would be useful to dedicate a stress management program before beginning a dietary restriction.

• Journal of the Korea Institute of Building Construction
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• v.16 no.5
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• pp.437-445
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• 2016

Since typhoon is a critical meteorological disaster, some advanced countries have developed typhoon damage prediction models. However, although South Korea is vulnerable to typhoons, there is still shortage of study in typhoon damage prediction model reflecting the vulnerability of domestic building and features of disaster. Moreover, many studies have been only focused on the characteristics and typhoon and regional characteristics without various influencing factors. Therefore, the objective of this study is to analyze typhoon damage by path and develop to prediction model for building damage ratio by using multiple regression analysis. This study classifies the building damages by typhoon paths to identify influencing factors then the correlation analysis is conducted between building damage ratio and their factors. In addition, a multiple regression analysis is applied to develop a typhoon damage prediction model. Four categories; typhoon information, geography, construction environment, and socio-economy, are used as the independent variables. The results of this study will be used as fundamental material for the typhoon damage prediction model development of South Korea.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.79-87
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• 2011

Cost control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. This paper identified the variables for practical cost control process first. A survey questionnaire was developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that engineering aspects of cost management has recently been strongly stressed in the construction industry. Applying various types of progress measurement method are getting popular, and the level of details in collecting job site cost data are prevalent. Cost forecasting are performed more frequently. These trends indicates the recent efforts by Korean general contractors to achieve competitive advantages in the globalized market.

• Korean Journal of Construction Engineering and Management
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• v.12 no.4
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• pp.88-96
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• 2011

Schedule control is an exceedingly fundamental and important construction business function. Even though enormous research efforts have been exerted in this area, there has been no comprehensive and quantitative study exploring detailed cost control practice of construction companies in terms of practical patterns and trends. In this context, this paper surveyed the patterns and trends of schedule control practice of Korean general contractors. Schedule control process as compared to schedule reduction is focused in this paper. The variables for practical schedule control process were identified first. A survey questionnaire was then developed and used in order to collect data from Korean general contractors. Survey results analyzing responses from 45 companies show that scheduling processes in practice have been significantly enhanced in terms of software tools, manuals, and capabilities of engineers.

• Journal of Korean Society on Water Environment
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• v.33 no.3
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• pp.326-333
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• 2017

The lakes and reservoirs have been reported as important sources of carbon emissions to the atmosphere in many countries. Although field experiments and theoretical investigations based on the fundamental gas exchange theory have proposed the quantitative amounts of Net Atmospheric Flux (NAF) in various climate regions, there are still large uncertainties at the global scale estimation. Mechanistic models can be used for understanding and estimating the temporal and spatial variations of the NAFs considering complicated hydrodynamic and biogeochemical processes in a reservoir, but these models require extensive and expensive datasets and model parameters. On the other hand, data driven machine learning (ML) algorithms are likely to be alternative tools to estimate the NAFs in responding to independent environmental variables. The objective of this study was to develop random forest (RF) and multi-layer artificial neural network (ANN) models for the estimation of the daily $CO_2$ NAFs in Daecheong Reservoir located in Geum River of Korea, and compare the models performance against the multiple linear regression (MLR) model that proposed in the previous study (Chung et al., 2016). As a result, the RF and ANN models showed much enhanced performance in the estimation of the high NAF values, while MLR model significantly under estimated them. Across validation with 10-fold random samplings was applied to evaluate the performance of three models, and indicated that the ANN model is best, and followed by RF and MLR models.

• Transactions of Materials Processing
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• v.19 no.5
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• pp.311-319
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• 2010

Rare earth metal Ce has a relatively low melting point and high specific gravity. Because of its significantly high affinity to oxygen, nitrogen and sulfur, it is highly usable as a steel refining agent. However, because Ce compound has relatively high specific gravity, it is difficult to be separated from molten steel through floatation, and it degrades the purity of molten steel, or may clog the nozzle in continuous casting. Such problem may be solved by using an appropriate deoxidation agent together with Ce and settling molten steel sufficiently after refining. Thus a fundamental study in the formation behavior of non-metallic inclusion in Ce added Hyper Duplex STS melts was investigated. The addition amount of Ce, melt temperature were considered as experimental variables. A main non-metallic inclusion in mother alloy is 51(wt%MnO) - 27.6(wt%SiO$_2$)- 10.9(wt%$Cr_2O_3$). Non-metallic inclusion was dramatically decreased and the particle size was fined as the amount of Ce increased. Moreover (%MnO) and (%SiO$_2$) of non-metallic inclusion were decreased. But (%$Al_2O_3$)were relatively increased. The number of non-metallic inclusion were decreased and the large particle size were increased by increasing the temperature of molten steel.

• Korean Journal of Veterinary Service
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• v.39 no.2
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• pp.69-74
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• 2016

Jeju Dogs have high academic value due to their unique characteristics and conditions, but they have received little attention in the research field. This paper attempts to secure fundamental data to clarify the general characteristics of Jeju Dogs. For this purpose, an inspection of the basic body shape was performed to establish the shape and breed standards. Jeju Dogs were also exposed to 12 behavior tests to check their distinct character categories and an objective ethogram was built on each of the character categories to conduct a behavior analysis. The body shape of 34 clinically healthy Jeju Dogs aged 18 months or older was inspected using ten divided parts. For the behavior analysis, 10 Jeju Dogs were examined. A variety of behavioral variables were recorded based on 12 behavior tests that were categorized into four characters: sociality, aggressiveness, anxiety and submissiveness. The results of the body shape inspection indicated that most of the male dogs' parts had larger measured values than the female dogs' parts. The behavior analysis results revealed that the Jeju Dog displays excellent qualities such as submissiveness, reliability and fidelity and, hence, it is believed that this breed of dog is very appropriate for most duties and has the potential to be a household dog or working dog.

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.125-147
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• 1997

This study was conducted in order to identify the extent to which Health Belief Model (HBM) constructs explain the likelihood of taking preventive behaviors for AIDS among the young adolescents in Korea. HBM was applied as the theoretical framework for developing questionnaire items in this study. The survey instrument included all of the constructs of Health Belief Model, namely, perceived susceptibility, perceived severity, perceived benefit, perceived barriers, cue to actions for preventive behaviors concerning AIDS. Additionally, demographic characteristics of the respondents, their sexual experiences, and AIDS Knowledge Test were included in the study. Each of HBM constructs were developed with a 5-point Likert type scale from l(never agree) to 5 (absolutely agree). The survey was conducted with a total of 247 military men in a city on September 18, 1996, using self-reported questionnaire. The results of the study were summarized as follows: 1. Because the subjects for this study were military soldiers, their demographic characteristics were limited to all men, young age, and ummarried. Educational status was evenly distributed between high school graduates and university students. 2. On the average, the respondents started their first sexual relationship at 18 years old and 82.6% of them did not use condom when having their first sexual experience. Thirty-one percent of the subjects had sexual contact with prostitutes and the average number of sexual contact with prostitutes was 5 times during the past 2 years. 3. The results of AIDS Knowledge Test scores demonstrated that the respondents had a high level of knowledge about AIDS. However, some misconceptions about transmission of AIDS through casual contact were still prevailed. Sixty-six percent of the respondents expressed that people infected with HIV should be isolated from the society in order to protect the general public. 4. All the respondents expressed that they had heard about AIDS before. TV was found to be the source which provided information on AIDS most frequently. 5. Among fundamental constructs of Health Belief Model, scores of perceived benefit of taking preventive action against AIDS marked the highest score, while scores of perceived susceptibility were the lowest. As a result of Multiple Stepwise Regression analysis, 13 variable groups were found to predict the preventive action by 25%. Among them, only perceived benefit variables was the most significant factor to explain preventive behaviors by 17%.