• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.83-86
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• 1998

In this paper, a fuzzy model based on the Polynomial Neural Network(PNN) structure is proposed to estimate the emission pattern for air pollutant in power plants. the new algorithm uses PNN algorithm based on Group Mehtod of Data Handling (GMDH) algorithm and fuzzy reasoning in order to identify the premise structure and parameter of fuzzy implications rules, and the least square method in order to identify the optimal consequence parameters. Both time series data for the gas furnace and data for the NOx emission process of gas turbine power plants are used for the purpose of evaluating the performance of the fuzzy model. The simulation results show that the proposed technique can produce the optimal fuzzy model with higher accuracy and feasibility than other works achieved previously.

• The KSFM Journal of Fluid Machinery
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• v.15 no.2
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• pp.63-68
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• 2012

This paper deals with the aerodynamic analysis and structural test under estimated loading condition for small composite blade, which is utilized in dual rotor wind turbine system. Firstly, the front and rear blades of dual rotor wind turbine system were modeled using reverse engineering method. And using finite volume method, the aerodynamic forces were analyzed at the rated and cutout wind speed to identify the pressure distribution on blades. And then, the full scale structural tests were conducted according to load and strength based methodology in IEC 61400-2 to identify the structural integrity of composite blade.

• Journal of Korean Academy of Nursing
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• v.37 no.4
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• pp.501-509
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• 2007

Purpose: The purpose of this study was to identify job stress experienced by head nurses of general hospitals. Methods: Data was collected from 10 head nurses with in-depth interviews about their actual experiences. The main questions were when, why, and from whom they get stress in the work field; how they are affected by the stressful situation; and how they cope with this stress. All the interviews were recorded and transcribed. The collected data was analyzed using a consistent comparative data analysis method. Results: Job stress of head nurse was formed by 3 axis; causes, reactions, and coping strategies in complicated situational context such as human relationship, culture of hospital, individual characteristics, social support. Conclusion: The results of this study yields very useful information for nursing mangers to identify, by stages, the demands of the head nurses in their role adaptation process. The findings of this study contributes to developing programs and supportive policies that palliates the head nurses' job stress.

• Journal of Families and Better Life
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• v.26 no.6
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• pp.83-94
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• 2008

The purpose of this study was to identify what factors are associated with marital satisfaction of the foreign wives who live in small town. Data for the study were based on a snowball sampling of 101 foreign wives who married to Korean husbands and had residence in Changwon and Masan city, Gyeongnam, Korea. The respondents reported higher levels of marital satisfaction and lower levels of marital hardship. To identify the variables affecting marital satisfaction, a regression analysis was conducted. Independent variables included age difference, educational difference, monthly income, conformity of information about husband, marital hardship, relationship with parents-in-law and taking class with husband. While conformity of information about husband, marital hardship and taking class with husband had strong effects on marital satisfaction of the foreign wives, age difference, educational difference, monthly income and relationship with parents-in-law didn't show the significant effects on the marital satisfaction of the foreign wives.

• Fire Protection Technology
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• s.30
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• pp.46-54
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• 2001

According to the use of electric power increases, the fire which ignited by electrical causes increases too. In this thesis electrical fires which occurs in the country for the past ten years are analyzed and developed the technology to identify the electrical fire. The focus of study is method to identify the electrical fires. The causes of electrical fire, it is analyzed a short-circuit and a over current, which take the highest ratio compare with other causes. The rationalization of identification, an electrical operating status is continuous monitored and the status can be accessed, black-box for identification electrical fires. The results of the study are the causes of electrical fire are found out logically, and the developed black-box for identification fires.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.15 no.1
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• pp.103-109
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• 2016

The performance of a multi-head, computerized combination scaling system to automatically identify a group of agricultural products having a total weight within the target range has been optimized to reduce the package cycle time of the merchandise. First, the structure of the scale was modified to enable faster measurement by enhancing the dynamic stability during the process. Second, the high frequency noise in the measured signal was eliminated by a high frequency filter to provide more accurate weight data. Finally, the algorithm to identify a group of products with a total weight within the target range was modified to enable a user to select an optimal number of scales. According to the experimental verifications, this modified system reduced the package cycle time significantly and also was accurate in measuring the total weight of the selected products.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2002.04a
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• pp.48-52
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• 2002

The fault analysis of the CNC machine tool which is controlled sequentially by PLC is generally based on ladder diagram. When machine tool has faults, it takes a lot of operator's experiences and times to identify logical relationship because ladder diagram is a step structured language. Therefore the technologies of finding out fault reasons automatically is necessary. In this paper, the SFG(Switching Function Generator) system is developed to analysis fault reasons correctly. The SF(Switching Function) and SSF(Step Switching Function) generated from SFG based on ladder diagram are experimented to identify the performance of SFG.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.807-813
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• 2007

Although firms are adopting strategic performance management systems (PMS) that provide information that allows the firms to identify the strategies offering the highest potential for achieving the firms' objectives, many firms still suffer from making the implementation of PMS a success. The purpose of this paper is to identify those factors that influence the successful implementation of performance management systems. This paper performs a comprehensive literature scrutiny on the implementation factors of PMS including the Balanced Scorecard, Performance Prism, Intellectual Capital Navigation, and Activity-based Costing, as well as traditional performance management systems. The findings of this research will provide useful insights into the anatomy of the success factors for implementing performance management systems and will help management to all the different sized organizations in the different sectors and industries. This paper also provides some future directions for research.

• International Journal of Automotive Technology
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• v.8 no.4
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• pp.513-520
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• 2007

In this paper, we propose an approach to identify the driving environment for intelligent highway vehicles by means of image processing and computer vision techniques. The proposed approach mainly consists of two consecutive computational steps. The first step is the lane marking detection, which is used to identify the location of the host vehicle and road geometry. In this step, related standard image processing techniques are adapted for lane-related information. In the second step, by using the output from the first step, a four-stage algorithm for vehicle detection is proposed to provide information on the relative position and speed between the host vehicle and each preceding vehicle. The proposed approach has been validated in several real-world scenarios. Herein, experimental results indicate low false alarm and low false dismissal and have demonstrated the robustness of the proposed detection approach.

• Proceedings of the KSAR Conference
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• 2004.06a
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• pp.229-229
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• 2004

The identification of embryo-specific genes would provide insights into early embryonic development. However, the current methods employed to identify the genes that are expressed at a specific developmental stage are labor intensive and suffer from high rates of false positives. Here we employed a new and accurate reverse transcription-polymerase chain reaction (RT-PCR) technology that involves annealing control primers (ACPs) to identify the genes that are specifically or prominently expressed in bovine early blastocysts and hatched blastocysts produced in vitro. (omitted)