• Journal of Industrial Technology
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• v.18
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• pp.165-172
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• 1998

In recent years, various power factor correction(PFC) circuits for the electronic ballast have been proposed. And these circuits have difference characteristics each other. We have researched several PFC circuits of them. And operational principles and characteristics of PFC circuits are compared by the cost and the electrical performance. Finally, we established the reference for the evaluation of PFC circuits with performance and the price.

• Journal of Service Research and Studies
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• v.6 no.1
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• pp.17-28
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• 2016

This study deduced an effect produced on organizational commitment of ICT Industrial workers through precedent study. And the importance of each factor was analyzed, regarding the deduced influencing factors. And influencing factors on organizational commitment of ICT Industrial workers were presented at a practical level on the basis of analysis results. According to the results of analysis, social support factors were interpreted as the most important influencing factor among the 1st hierarchical factors. According to the results of analysis after setting 12 factors for the 2nd hierarchical factor, 3 factors including emotional support, Informational support, and Substance/instrumental support, were interpreted as very important factors. However, psychological empowerment was analyzed to a relatively less critical.

• Journal of the Korea Safety Management & Science
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• v.16 no.2
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• pp.1-9
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• 2014

This study tried to propose plan to prevent human error of railroad driver among human error of railroad worker which takes great share in railroad accident. For this, in order to maintain correlation between the accident actually occurred after the opening of high-speed railroad and experience of accident that did not happened, survey on respondent was analyzed by conducting survey on KTX captain who is working in driving work of high-speed railroad, and instruction management team manager who manages KTX captain and captain. This thesis classified the factors by human factor, job factor, environment factor, organization factor, and established human error management model by comparing and analyzing how each factors have spatial interrelations with a railroad accident. The purpose of this study is to contribute to make safe railroad, and reliable railroad by preventing human error accident by minimizing human error of high-speed railroad drivers, and improving driving workers to cope accurately and fast with irregularities through various institutional improvement, improvement of driving facilities, improvement of operating room environment, and improvement of education system.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.156-162
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• 2006

It was hypothesized that mobile 3D provide the sense of presence in different quantity and quality aspects in virtual reality. And it was supposed that the construction of presence involves various levels and dimensions. The factors of mobile 3D game are divided into 4 super-factors; condition factor, interface factor, attention factor, feedback factor that resulted into 20 sub-factors resulted from the factor analysis. Our primary goal is the development of valid Mobile 3D presence scale, and to find out the factor structure of the scale.

• Journal of Industrial Technology
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• v.18
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• pp.35-41
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• 1998

A watershed terrain factor is known to the very important in studies of a stream and a watershed. We have obtained the terrain factor in map directly or we have generated it in a digitalized map. In this study, DTED(Digital Terrain Elevation Data) offering in DMA(Defense Mapping Agency) was used to create a stream and a watershed and to extract the terrain factor. As comparison of the factors gererated in digitalized map the terrain factors extracted in DTED, DTED could be used to extract a terrain factor for a watershed management.

• Proceedings of the KIPE Conference
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• 2010.07a
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• pp.123-124
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• 2010

본 논문은 고주파 유도가열 장치의 실시간 부하 예측 기법을 제안한다. 인버터 출력전압과 콘덴서 양단전압을 센싱하여 adaptive parameter estimation 기법을 이용하여 피가열체인 부하의 등가저항과 인덕턴스를 구한다. 제안된 방법을 이용하여 부하 발열량과 콘덴서 뱅크의 Q factor를 실시간 예측할 수 있다. 콘덴서 뱅크의 Q factor를 통해 부하 부담률을 알 수 있으므로 뱅크의 파손 등의 사고를 미연에 방지 할 수 있게 한다. 본 논문에서 제안한 알고리즘의 타당성을 시뮬레이션을 통해 확인하였고 모의실험장치에 적용하여 실험을 통해 검증하였다.

• Journal of Powder Materials
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• v.23 no.2
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• pp.149-169
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• 2016

Additive manufacturing (AM) is defined as the manufacture of three-dimensional tangible products by additively consolidating two-dimensional patterns layer by layer. In this review, we introduce four fundamental conceptual pillars that support AM technology: the bottom-up manufacturing factor, computer-aided manufacturing factor, distributed manufacturing factor, and eliminated manufacturing factor. All the conceptual factors work together; however, business strategy and technology optimization will vary according to the main factor that we emphasize. In parallel to the manufacturing paradigm shift toward mass personalization, manufacturing industrial ecology evolves to achieve competitiveness in economics of scope. AM technology is indeed a potent candidate manufacturing technology for satisfying volatile and customized markets. From the viewpoint of the innovation technology adoption cycle, various pros and cons of AM technology themselves prove that it is an innovative technology, in particular a disruptive innovation in manufacturing technology, as powder technology was when ingot metallurgy was dominant. Chasms related to the AM technology adoption cycle and efforts to cross the chasms are considered.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.1-8
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• 2009

The studies on semiconductor industrial accident in korea have been focused on the frequencies of each type of safety management employee, characteristics, cause and unsafe conditions, acts and so on. Those attributes of semiconductor industrial accidents were usually analyzed independently, so that it was hard to provides a wel-developed process and systematic guidelines for efficient safety management. Therefore, there were a few studies based on comprehensive survey in terms of the shape type of safe management. The questionnaire survey carried out for the 284 workers who were responsible for safety management in center with cooperation companies in semiconductor industry factor analysis showed that there were three factors of safety management. First, investment and operation and management for accident prevention, Second, unsafe act and condition, safety management Third, general human error and behavior. The industries of respondents were correlative with three groups. Three groups showed statistically significant differences on the number of cases. Actually, the group with the larger investment and the more unsafe cause, human error of accidents prevention had a smaller causes of accident cases.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.654-659
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• 2007

This study suggests a measure method for measuring variables that are used for hotel corporations' CRM performance. For this purpose, I present a combined method between factor analysis and AHP(Analytic Hierarchy Process) analysis. Factor analysis gives us a result that shows a group of highly correlated variables and another group of less correlated variables. Thus, factor analysis can only give information of factor categorization. Although researchers add ANOVA analysis or regression analysis, these efforts can not connect its results with factor analysis. Therefore, In hotel CRM performance analysis, calculation of each factor's importance is strongly required. For that reason, I suggest a method that combines AHP analysis with factor analysis for Hotel CRM performance measurement.

• KDI Journal of Economic Policy
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• v.12 no.4
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• pp.3-20
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• 1990

The multisector model is designed to analyze and forecast structural change in industrial output, employment, capital and relative price as well as macroeconomic change in aggregate income, interest rate, etc. This model has 25 industrial sectors, containing about 1,300 equations. Therefore, this model is characterized by detailed structural disaggregation at the sectoral level. Individual industries are based on many of the economic relationships in the model. This is what distinguishes a multisector model from a macroeconomic model. Each industry is a behavioral agent in the model for industrial investment, employment, prices, wages, and intermediate demand. The strength of the model lies in the simulating the interactions between different industries. The result of its simulation will be introduced in the next paper. In this paper, we only introduce the structure of the multisector model and the coefficients of the equations. The multisector model is a dynamic model-that is, it solves year by year into the future using its own solutions for earlier years. The development of a dynamic, year-by-year solution allows us to combine the change in structure with a consideration of the dynamic adjustment required. These dynamics have obvious advantages in the use of the multisector model for industrial planning. The multisector model is a medium-term and long-term model. Whereas a short-term model can taken the labor supply and capital stock as given, a long-term model must acknowledge that these are determined endogenously. Changes in the medium-term can be analyzed in the context of long-term structural changes. The structure of this model can be summarized as follow. The difference in domestic and world prices affects industrial structure and the pattern of international trade; domestic output and factor price affect factor demand; factor demand and factor price affect industrial income; industrial income and relative price affect industrial consumption. Technical progress, as measured in terms of total factor productivity and relative price affect input-output coefficients; input-output coefficients and relative price determine the industrial input cost; input cost and import price determine domestic price. The differences in productivity and wage growth among different industries affect the relative price.