• Journal of Engineering Education Research
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• v.17 no.6
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• pp.62-68
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• 2014

The purpose of this work is to provide systematic lecture materials for instructers who search for the effective teaching of applied mechanics of materials course with respect to lecture contents, teaching methods, and itemized course evaluations according to each class learning objective. For this. the evolution of teaching contents since 2010 until 2014 are briefly depicted and then most recent course learning objectives, lecture contents, and evaluation schemes are presented in detail. The results of this study may be used as base line data for the lecturers who teach similar courses and for the evaluation of program outcomes in ABEEK scheme through course-embedded assessment.

• Proceedings of the Korean Geotechical Society Conference
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• 2009.03a
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• pp.1076-1085
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• 2009

Recent heavy rains and typhoons broke down road slopes, which caused a hazard to safety. As a result, interests in the effective investment for disaster prevention is increasing. Measures of investigation method for slope have been taken, but the financial costs have never been analysed. This study applied the cost-benefit analysis theory used in public economics to the evaluation of the financial reasonability of management for slope. By applying cost-benefit analysis to road slope investigation method, the reduction of safety costs and resulting financial benefits can be seen and it also clarifies the reasonability and investment effects of slope management.

• Journal of Families and Better Life
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• v.14 no.1
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• pp.131-146
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• 1996

The purpose of this study was to review the previous studies that have dealt with and used Family Adaptibility and Cohesion Evaluation Scales(FACES) considered as an effective instrument for measuring family functioning in order to clarify the theoretical meaning the practical applicability the limitation and the problems of this instrument. FACES has considerably contributed in measuring family dynamics in research and clinical fields and been paid attention to by researchers and clinicians since 1979 However the instrument has been also pointed out its limitation due to the conceptual and methodological problems. This study reviews these problems and then presents some implications to help to improve these problems and to explore the application of this instrument as a measure of family functioning.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.243-245
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• 2001

The reliability and probabilistic generation production cost evaluation of composite power systems are important for power system operation and expansion planning. This paper present a computer program which can evaluate the reliability and probabilistic generation production cost of composite power system using GUI(Graphic User Interface). In this computer program, Monte Carlo simulation methods and CMELDC(CoMposite power system Effective Load Duration Curve) were used.

• Proceedings of the KIEE Conference
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• 2001.11b
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• pp.34-37
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• 2001

This paper evaluate reliability indices of a part of transmission network of KEPCO system. Quantitative evaluation of transmission system reliability is very important because successful operation of an electric power system in the deregulated electricity market depends on transmission system reliability management. Monte Carlo methods are often preferable, when complex operating conditions are involved and/or the number of sever events is relatively large. Monte Carlo simulation methods and CMELDC(CoMposite power system Effective Load Duration Curve) were used in this paper.

• International Journal of Reliability and Applications
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• v.9 no.1
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• pp.17-30
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• 2008

Analysis of measurement systems is important to determine if the measurement process is adequate to measure the part-to-part variability in the process. Control chart techniques provide an effective, and easy-to-use method for performing this analysis. However, application with the real data for the evaluation procedure for multiple measurement systems have not been demonstrated. This research will provide a methodology for the evaluation of part-to-part variation and variation of different measurement systems step by step followed by number of case studies for each methodologies provided.

• Smart Structures and Systems
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• v.6 no.9
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• pp.1007-1023
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• 2010

This paper describes the development and evaluation of an innovative TDR distributed moisture sensor. This sensor features advantages of being responsive to the spatial variations of the soil moisture content. The geometry design of the sensor makes it rugged for field installation. Good linear calibration is obtained between the sensor measured dielectric constant and soil physical properties. Simulations by the finite element method (FEM) are conducted to assist the design of this sensor and to determine the effective sampling range. Compared with conventional types of moisture sensor, which only makes point measurement, this sensor possesses distributed moisture sensing capability. This new sensor is not only easy to install, but also measures moisture distribution with much lower cost. This new sensor holds promise to significantly improve the current field instruments. It will be a useful tool to help study the influence of a variety of moisture-related phenomena on infrastructure performance.

• Journal of the Korea Society for Simulation
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• v.8 no.2
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• pp.29-43
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• 1999

As real-time processing of data with large storage space is required in the era of multimedia, disk arrays are generally used as storage subsystems which be able to provide improved I/O performance. To design the cost-effective disk array, it is important to develop performance models which evaluate the disk array performance. Both queueing theory and simulation are applicable as the method of performance evaluation through queueing modeling. But there is a limit to the analytical method using queueing theory due to the characteristics of disk array requests being serviced in the parallel and concurrent manner. So in this paper we evaluate the disk array performance using simulation method which abstract disk array systems in the low level. Performance results were evaluated through simulation, so that mean response time, mean queueing delay, mean service time, mean queue length for disk array requests and utilization, throughput for disk array systems, can be utilized for capacity planning in the phase of disk array design.

• Nuclear Engineering and Technology
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• v.41 no.7
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• pp.921-928
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• 2009

As part of an evaluation for an in-vessel severe accident management strategy, a coolant injection into the reactor vessel under depressurization of the reactor coolant system (RCS) has been evaluated in detail using the SCDAP/RELAP5 computer code. A high-pressure sequence of a small break loss of coolant accident (SBLOCA) has been analyzed in the Optimized Power Reactor (OPR) 1000. The SCDAP/RELAP5 results have shown that safety injection timing and capacity with RCS depressurization timing and capacity are very effective on the reactor vessel failure during a severe accident. Only one train operation of the high pressure safety injection (HPSI) for 30,000 seconds with RCS depressurization prevents failure of the reactor vessel. In this case, the operation of only the low pressure safety injection (LPSI) without a HPSI does not prevent failure of the reactor vessel.

• Journal of the Korean Operations Research and Management Science Society
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• v.26 no.3
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• pp.1-20
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• 2001

The amount of financial information in sophisticated large data bases is huge and makes interfirm performance comparisons very difficult or at least very time consuming. The purpose of this paper is to investigate whether neural networks in the form of self-organizing maps (SOM) can be successfully employed to manage the complexity for competitive financial benchmarking. SOM is known to be very effective to visualize results by projecting multi-dimensional financial data into two-dimensional output space. Using the SOM, we overcome the problems of finding an appropriate underlying distribution and the functional form of data when structuring and analyzing a large data base, and show an efficient procedure of competitive financial benchmarking through clustering firms on two-dimensional visual space according to their respective financial competitiveness. For the empirical purpose, we analyze the data base of annual reports of 100 Korean listed companies over the years 1998, 1999, and 2000.