• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 하계학술대회 논문집 D
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• pp.2088-2090
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• 2003

A practical recursive weighted least square(WLS) solution is proposed to solve the passive ranging problem. Apart from the previous works based on the extended Kalman filter(EKF), to ensure the convergency at long-range, the proposed scheme makes use of line-of-sight(LOS) rate instead of bearing information. The influence of LOS rate measurement errors is investigated and it is asserted that the WLS estimates contain bias and scale factor errors. Together with simple compensation algorithm, the estimation errors of proposed filter can be reduced dramatically.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2019년도 전력전자학술대회
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• pp.305-306
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• 2019

본 논문에서는 고전압 커패시터 충전용 3상 LCC 공진형 컨버터를 설계하고 제작하였다. 고전압 커패시터 충전시간과 충전전압간에 선형성을 확보하기 위하여 컨버터는 충전 전 구간에서 정전류원으로 동작하도록 설계되었다. 공진탱크 설계를 위해서 FHA(Fundamental Harmonic Analysis) 기법을 이용하여 첨예도(Q; Quality factor)와 기저 주파수 변동에 따른 입출력 전류이득특성을 도출하였고 이를 바탕으로 28.8kJ/s의 충전속도를 가지며 최대 충전전압은 10kV 인 3상 LCC 공진형 컨버터를 제작하였다. 제작된 컨버터는 10kV, 600kJ 규격의 12mF 고전압 커패시터를 이용한 충전 실험을 통해 설계의 타당성을 확인하였다.

• 대한조선학회논문집
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• 제44권1호
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• pp.26-31
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• 2007

Understanding viscoelastic properties of composite materials is essential for the design and analysis of composite structures. Specially, the loss factor and Young's modulus must be known to develop finite element codes for a composite structure with several damping materials. In this study, an advanced technique for obtaining accurate loss factor and Young's modulus of a composite structure is introduced based on the method of American Society for Testing and Materials (ASTM). The loss factor and Young's modulus of a composite structure are measured for different temperatures by performing the test in a vibration measurement room where temperature can be controllable from 5 to 45 Celsius.

• 한국대기환경학회지
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• 제30권1호
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• pp.26-36
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• 2014

The uncertainty assessment is important to improve the reliability of emission inventory data. The DARS (Data Attribute Rating System) have recommended as the uncertainty assessment technic of emission inventory by U.S. EPA (Environmental Protection Agency) EIIP (Emission Inventory Improvement Program). The DARS score is based on the perceived quality of the emission factor and activity data. Scores are assigned to four attributes; measurement/method, source specificity, spatial congruity and temporal congruity. The resulting emission factor and activity rate scores are combined to arrive at an overall confidence rating for the inventory. So DARS is believed to be a useful tool and may provide more information about inventories than the usual qualitative grading procedures (e.g. A through E). In this study, the uncertainty assessment for 2009 CAPSS (Clean Air Policy Support System) emission inventory is conducted by DARS. According to the result of this uncertainty assessment, the uncertainty for fugitive dust emission data is higher than other sources, the uncertainty of emission factor for surface coating is the highest value, and the uncertainty of activity data for motor cycle is the highest value. Also it is analysed that the improvement of uncertainty for activity data is as much important as the improvement for emission factor to upgrade the reliability of CAPSS emission inventory.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.192-197
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• 2020

Foreign students in South Korea face important challenges when they try to maintain their health. As a measure of their motivation to actively build skills for overcoming those challenges, we evaluated the 10-item Consumer Health Activation Index (CHAI), testing its feasibility, dimensionality, and reliability. There were no missing data, there was no floor effect, and for the total scores the ceiling effect was trivial (< 2%). Results of the Kaiser-Meyer-Olkin test and Bartlett's test of sphericity indicated that the data were suitable for the detection of structure by factor analysis. The results of parallel analysis and the shape of the scree plot supported a two-factor solution. One factor had 3 items concerning "my doctor" and the other factor had the 7 remaining items. Reliability was high for the 10-item CHAI (alpha = 0.856), for the 3-item subscale (alpha = 0.838), and for the 7-item subscale (alpha = 0.857). Reliability could not be improved by deletion of any items. Use of the CHAI to gather data from these foreign students is feasible, and reliable results can be obtained whether one uses the total score from all 10 items or scores from the proposed 7-item and 3-item subscales.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.114-122
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• 2020

We study confirmed the effect of corporate social responsibility activities on organizational trust and job performance of organizational members and mediating effects of organizational trust among 351 members of the organization in the metropolitan area and Chungcheong area. For this, the SPSS 24.0 and AMOS 24.0 statistical packages were used to produce the following results. First, as a result of analyzing the impact of CSR activities on organizational trust of organizational members, factors of economic responsibility, legal responsibility, ethical responsibility, and charitable responsibility showed significant effects on organizational trust. Second, as a result of analyzing the relationship between the effects of CSR activities on the job performance of members of the organization, it showed a direct effect on job performance, which is a factor of economic responsibility, legal responsibility, ethical responsibility, and charitable responsibility. Third, organizational trust of organization members was analyzed as a positive factor in job performance. Fourth, it showed the mediating effect of organizational trust on the effect of corporate social responsibility activities on job performance. As a result of this study, the organizational performance and job performance of organizational members showed a direct effect on CSR activities. Therefore, the CSR activity is important as it is a key factor to advance the organizational trust and job performance, which is the company's sustainable management system.

• 대한안전경영과학회지
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• 제16권4호
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• pp.275-284
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• 2014

Decision Tree is one of analysis techniques which conducts grouping and prediction into several sub-groups from interested groups. Researcher can easily understand this progress and explain than other techniques. Because Decision Tree is easy technique to see results. This paper uses CART algorithm which is one of data mining technique. It used 273 variables and 70094 data(2010-2011) of working environment survey conducted by Korea Occupational Safety and Health Agency(KOSHA). And then refines this data, uses final 12 variables and 35447 data. To find satisfaction factor in working environment, this page has grouped employee to 3 types (under 30 age, 30 ~ 49age, over 50 age) and analyzed factor. Using CART algorithm, finds the best grouping variables in 155 data. It appeared that 'comfortable in organization' and 'proper reward' is the best grouping factor.

• 대한조선학회논문집
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• 제41권3호
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• pp.41-48
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• 2004

Ship is being operated under a highly dynamic environments and many factors are related with ship's collision and those factors are interacting. So, the analysis on ship's collision causes are very important to prepare countermeasures which will ensure the safe navigation. This study analysed the ship's collision data over the past 10 years(1991-2000), which is compiled by Korea Marine Accidents Inquiry Agency. The analysis confirmed that ‘ship's collision' is occurred most frequently and the cause is closely related with human factor. The main purpose of this study is to propose risk control measures of ship's collision. For this, the structure of human factor is analysed by the questionnaire methodology. Marine experts were surveyed based on major elements that were extracted from the human factor affecting to ship's collision. FSM has been widely adopted in modeling a dynamic system which is composed of human factors. Then, the structure analysis on the causes of ship's collision are performed using FSM. This structure model could be used in understanding and verifying the procedure of real ship's collision. Furthermore it could be used as the model to prevent ship's collision and reduce marine accidents.

• The Journal of Asian Finance, Economics and Business
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• 제8권4호
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• pp.201-212
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• 2021

This study aims to investigate variables affecting the business performance of Muslim women entrepreneurs in Sri Lanka. A multidimensional analysis was proposed with five potentially defined antecedents of business performance which included psychological characteristics, human capital, social capital, industrial factor, and cultural factor. Data was collected from 286 respondents through the use of a self-administered questionnaire. The results of structural equation modeling indicate that the model meets the goodness-of-fit indices and that generally, all five factors have significant positive relationships with business performance. Amongst the dimensions of psychological characteristics, only risk-taking had a notable effect on business performance. Amongst the dimensions of human capital, two of the three dimensions (business experience and business skills) were significantly associated with business performance; in the case of social capital, one of the two dimensions (non-familial affiliations) was significantly associated with business performance; and in the case of industrial factor, resource accessibility was significantly associated with business performance. A strong positive correlation with business performance has also been demonstrated by the cultural factor which was a new concept to the paradigm as a whole. This study has broadened the understanding of existing literature on Muslim women entrepreneurship and contributed practical implications to government, policymakers and other related agencies, chambers of commerce, the general public, as well as the Muslim women entrepreneurs themselves.

• 한국응급구조학회지
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• 제12권2호
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• pp.85-97
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• 2008

Purpose : This study was cross-sectional study to examine the influence of job stress in 119 briefing room workers and aimed to provide the important basic materials for improving working conditions of 119 briefing room workers and further studies. Methods : This study selected 271 workers of 119 briefing room at National Emergency Management Agency and fire stations, metropolitan cities and provinces to examine the influences of job stress of 119 briefing room workers on depression. and as a result of analysis, the following conclusions. Results : 1) The whole average of job stress measure was 3.30. The highest area was interpersonal relationship factor as 3.41, 'job characteristic factor' as 3.36 and communication factor' as 3.01. 2) Total score of whole items of depression was 11.88 and showed slight depression level. 3) There was static correlation between job stress and depression(r=44.7, p= .000). There were statistically significant static correlations between job stress factor and depression(r= .388, p= .000), interpersonal relationship factor and depression(r= .471, p= .000), and communication factor and depression(r= .386, p= .000). 4) There was statistically significant difference in the influence of job stress on depression(B=8.575, p< .001). Influence of job stress on depression was explained as $R^2=.200$. When job stress factors as independent variables were input, interpersonal relationship factor(B=5.062, p< .001) had the greatest influence on depression and there was no statistically significant difference in communication factor(B=2.490, p< .05). Conclusions : It is considered that development of the various programs including program for getting rid of job stress of 119 briefing room workers and counseling program will be needed. particularly, factors such as human relationships and communication in the area of job stress must be the first priority.