• Journal of Mechanical Science and Technology
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• v.20 no.12
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• pp.2052-2060
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• 2006

The wear of engine valve and seat insert is one of the most important factors which affect engine performance. Because of higher demands on performance and the increasing use of alternative fuel, engine valve and seat insert are challenged with greater wear problems than in the past. In order to solve the above problems, a simulator was developed to be able to generate and control high temperatures and various speeds during motion. The wear simulator is considered to be a valid simulation of the engine valve and seat insert wear process with various speeds during engine activity. This work focuses on the different degrees of wear at three different singular test speeds (10 Hz, 25 Hz & multi-Hz). For this study, the temperature of the outer surface of the seat insert was controlled at 350$^{\circ}C$, and the test load was 1960 N. The test cycle number was $6.0{\times}10^6$. The mean ($\pm$standard error) wear depth of the valve at 10 Hz and 25 Hz was 45.1 ($\pm$3.7)$\mu$m and 81.7 ($\pm$2.5)$\mu$m, respectively. The mean wear depth of the seat insert at 10 Hz and 25 Hz was 52.7 ($\pm$3.9)$\mu$m and 91.2 ($\pm$2.7)$\mu$m, respectively. In the case of multi-Hz it was 70.7 ($\pm$2.4)$\mu$m and 77.4 ($\pm$3.8)$\mu$m, respectively. It was found that higher speed (25 Hz) cause a greater degree of wear than lower speed (10 Hz) under identical test condition (temperature, valve displacement, cycle number and test load). In the wear mechanisms of valves, adhesive wear, shear strain and abrasive wear could be observed. Also, in the wear mechanisms of seat inserts, adhesive wear, surface fatigue wear and abrasive wear could be observed.

• Journal of Navigation and Port Research
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• v.35 no.3
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• pp.187-195
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• 2011

A ship handling simulator is popular means of preventing marine accidents caused by human error. It can also be used to train navigators. A real-time 3D visualization system, a component of a ship handling simulator, is an important component, as realistic and intuitive image generation play an essential role in improving the effects of education using ship handling simulators. This paper discusses the design of a new real-time 3D visualization system based on an open source 3D graphics engine as well as its implementation. The developed real-time 3D visualization system satisfies the operational requirements derived in terms of visualization functionalities, reuse of legacy graphic data, and interoperability with other systems constituting a ship handling simulator. This system has an architecture in which new functionalities are easily added.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.4
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• pp.835-842
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• 2012

Operating Systems is a discipline which handles abstract concepts and techniques. However, most of OS courses have been textbook-oriented theoretical classes. Theoretical classes lead to the decline in the understanding of a lecture, and hurt their concentration. Many instructors have tried to make use of educational tools to help students understand lectures and arouse interests. This paper describes the design and implementation of a CPU scheduling simulator which shows the operation of process scheduling algorithms visually. The academic achievement evaluation for 2010's students and 2011's and t-test results show that the differences of the correct answer ratio for the exam about CPU scheduling algorithms are meaningful. The survey shows that the simulator is useful as an educational tool which causes the interests and enhances the understanding of a lecture, this teaching method is effective to develop problem solving skills.

• Transactions of the KSME C: Technology and Education
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• v.1 no.2
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• pp.193-198
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• 2013

The horseback riding simulator, an exercise training machine providing a simplified horse riding motion has been developed for aiming at healthcare. The purpose of this study was to estimate the energy expenditure without measuring bio-signals using the simulator. The test protocol was consisted of increase up to maximal intensity(Motion 9) and decrease down to minimal intensity(Motion 4) during 25 minutes, and energy expenditure was measured by portable cardiopulmonary exercise testing analyzer. There were significant differences in energy expenditure according to each riding motion. The result will be able to estimate energy expenditure using motion level, exercise time, age and gender during the riding.

• Journal of Advanced Navigation Technology
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• v.19 no.1
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• pp.7-14
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• 2015

This paper proposes the development model of the aerodrome traffic control simulator (ATCS) System for the domestic airport. The application of the ATCS is used as a OJT training function for the air traffic controller and research function for a new control procedure. In order to perform those functions, we classified the ATCS in three types such as education, research and integrated management system, and the ATCS types analysed by the working and OJT training condition in domestic airport. Therefore, we proposed the ATCS models such as uniform type, differential type, and center type, and analysed the merits and demerits of the proposed models. Also we looked up ATCS's application in terms of the building and maintenance costs, operational utilization and scalability. So, we proposed the differential type which was suitable for the developing ATCS for the domestic airports.

• Proceedings of the Korea Society for Simulation Conference
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• 2000.11a
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• pp.61-66
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• 2000

The KEPRI has been upgrading the KNPEC(Korea Nuclear Power Education Center) #2 simulator, a replica of Yonggwang Unit 1 & 2, due to the outdated systems. The scenarios, such as the continuous load change, are selected to verify and validate the simulator, and the data required to V&V are generated with the best-estimated codes, RETRAN and MARS. The reactor coolant system and steam generator system are cut up into volumes and junctions for the accurate model of the scenarios, and other components and control systems are modeled. For the model the operation and design data of the plants is used and in some cases the data of Kori Unit 3 & 4 is used to fill up the lack of required data. The results of some selected analyses with the models are compared with the operating data of the plants to verify the models, and the analyses of the scenarios are carried out to generated the data for the V&V of the simulator

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.10a
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• pp.95-97
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• 2015

Automatic Collision Prevention Training and RADAR Simulation Training, designated educations by the STCW Convention, are essential for officers to complete in order to board a ship. Recently, designated education institution standard based curriculum and requirements of the necessary facilities have been placed as a regulatory advisory requiring each institutions to match this and introduce equipment for simulation education, the FMSS(Full Mission Simulator System). Since the introduction of this research until today, a survey has been executed in order to find out the effect of utilizing the FMSS in ARPA/RADRA/Simulation Training for a period of 1 year. The result showed that 2.13times have been more effective. In addition, based on the results, identifying problems that occur during the education period and providing solutions to these problems have been proposed.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.227-230
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• 2013

Recently, IMO STW Committee has released a model course of Bridge Resource Management. The Leadership and Teamwork among non-technical skills related to human factor is included at STCW 2010 Manila Amendments. Until now, the BRM education in Korea has been independently operated by each related educational institution, i.e., Shipping Company, University due to absence of model course. In this research the focus is on the simulation module among items for the BRM program. During the simulation from the BRM training, the trainee's reaction and popular functions on simulator have been investigated and analyzed to develop a simulation module for effective BRM education.

• Journal of Navigation and Port Research
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• v.44 no.6
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• pp.460-468
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• 2020

Research related to the technology developed for the Maritime Autonomous Surface Ship (MASS) is currently underway. Although one of those core technologies is collision-avoidance technology for ship operators at sea, no research has been done to objectively quantify its effectiveness. Therefore, this study was conducted to develop an evaluation model to examine the collision-avoidance ability of MASS. Ship-control experts performed a ship-handling simulation for each ship encounter type using the Full Mission Ship-handling Simulator (FMSS). We used the resulting data and technical statistics, to develop an evaluation model that utilized FMSS to quantify the operational capability of the collision-avoidance technology. This evaluation model also can be used at sea to assess deck officers' ability to use the technology and to improve and develop other MASS technologies.

• Journal of radiological science and technology
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• v.45 no.2
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• pp.111-116
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• 2022

In this study, the applicability of machine learning for the development of a simulator for general X-ray examination education is evaluated. To this end, k-nearest neighbor(kNN), support vector machine(SVM) and neural network(NN) classification models are analyzed to present the most suitable model by analyzing the results. Image data was obtained by taking 100 photos each corresponding to Posterior anterior(PA), Posterior anterior oblique(Obl), Lateral(Lat), Fan lateral(Fan lat). 70% of the acquired 400 image data were used as training sets for learning machine learning models and 30% were used as test sets for evaluation. and prediction model was constructed for right-handed PA, Obl, Lat, Fan lat image classification. Based on the data set, after constructing the classification model using the kNN, SVM, and NN models, each model was compared through an error matrix. As a result of the evaluation, the accuracy of kNN was 0.967 area under curve(AUC) was 0.993, and the accuracy of SVM was 0.992 AUC was 1.000. The accuracy of NN was 0.992 and AUC was 0.999, which was slightly lower in kNN, but all three models recorded high accuracy and AUC. In this study, right-handed PA, Obl, Lat, Fan lat images were classified and predicted using the machine learning classification models, kNN, SVM, and NN models. The prediction showed that SVM and NN were the same at 0.992, and AUC was similar at 1.000 and 0.999, indicating that both models showed high predictive power and were applicable to educational simulators.