• Asian Journal of Business Environment
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• v.12 no.1
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• pp.17-24
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• 2022

Purpose: This study aims to determine the effect of economic agents, such as the amount of government expenditure on the environment, households, manufacturing industry, and shipping activities; on environmental degradation in Indonesia. Research design, data, and methodology: This study is conducted with 264 observations from panel data of 33 provinces during 2010-2017. Environmental degradation is measured by using the environmental quality index collected from Indonesian Ministry of Forestry and Indonesian Central Bureau of Statistics. Three testing models are used to test the panel data, namely Common Effect Model (CEM), Fixed Effect Model (FEM), and Random Effect Model (REM). Results: The research findings show that the amount of government expenditure on the environment, households, and shipping activities have a negative and significant effects on environmental degradation, while the number of manufacturing industry has positive and significant effect on environmental degradation. Unlike the previous studies, the result also shows that government expenditure on environmental has a positive and significant effect on environmental quality index. Conclusion: It can be concluded that even though Indonesian government spent a low budget on environment, their environmental regulation has succeeded both in reducing environmental degradation and increasing the environmental quality as indicated by Indonesian environmental quality index.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.37 no.4
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• pp.372-382
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• 2009

A GNSS software for processing the SBAS correction data is developed, and Japan MSAS correction data is analyzed. MSAS orbit correction data is analyzed and compared with WAAS data. MSAS ionosphere correction data is analyzed and the effect of the equatorial anomaly on the correction accuracy is discussed. Degradation due to receive delay of correction information and effect of the degradation on protection level analyzed using partial remove of MSAS correction information. Integrity and availability for precision approch using the MSAS system analyzed.

• Journal of the Korean Society of Safety
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• v.21 no.4 s.76
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• pp.33-41
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• 2006

Material degradation should be considered to assess integrity and residual life of high temperature equipments. However, the property data reflecting degradation are not sufficient for practical use. In this study measuring properties for 1Cr-1Mo-0.25V forging steel generally used for turbine rotor was carried out. Degradation was simulated by isothermal ageing. heat treatment and variation of microstructure was observed. Mechanical properties such as tensile strength, impact energy, hardness and fracture toughness were measured. Assuming a semi-elliptical surface crack at the bore hole in a turbine rotor, material risk was estimated by using the aged material property data obtained in this study. Safety margin was decreased and life of the rotor was exhausted. This procedure can be used in assessing the residual life of a turbine rotor due to material degradation.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.3
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• pp.311-318
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• 2016

This paper shows storage life estimation of next IR(infrared) flare material through accelerated degradation tests. Three temperature conditions for the accelerated degradation tests are 55, 65 and $75^{\circ}C$. Six performances of IR flare material are burning time, IR peak/continuous Intensity, total energy of near/mid-IR and color ratio, and they were measured after the tests. Storage life of the IR flare material was estimated through both analyzing the degradation data of those performances and applying distribution-based degradation models to the data. Over 30 years of storage life at $20^{\circ}C$ is estimated in terms of IR peak intensity with reliability 0.99 and confidence level 99 %. Additionally, 10 years of storage period at $21^{\circ}C$ would be equivalent to 68 days of accelerated test at $65^{\circ}C$ from the activation energy in Arrhenius model.

• The Transactions of the Korean Institute of Electrical Engineers C
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• v.53 no.10
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• pp.515-522
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• 2004

In this study, we tried to investigate that the advantages of SOM(Self Organizing Map) algorithm such as data accumulation ability and the degradation trend trace ability would be adaptable to the analysis of partial discharge pattern recognition. For the purpose, we analyzed partial discharge data obtained from the typical artificial defects in GIS and XLPE power cable system through SOM algorithm. As a result, partial discharge pattern recognition could be well carried out with an acceptable error by use of Kohonen map in SOM algorithm. Also, it was clarified that the additional data could be accumulated during the operation of the algorithm. Especially, we found out that the data accumulation ability of Kohonen map could make it possible to suggest new patterns, which is impossible through the conventional BP(Back Propagation) algorithm. In addition, it is confirmed that the degradation trend could be easily traced in accordance with the degradation process. Therefore, it is expected to improve on-site applicability and to trace real-time degradation trends using SOM algorithm in the partial discharge pattern recognition

• Proceedings of the KSME Conference
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• 2001.06a
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• pp.268-273
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• 2001

Fossil power plants operated in high temperature condition are composed of components such as turbine, boiler, and piping system. Among these components, turbine blades made with 12%Cr steel operate at a temperature above $500^{\circ}C$. Due to the long term service, turbine blades experience material degradation manifested by change in mechanical and microstructural properties. The need to make life assessment and to evaluate material degradation of turbine blade is strongly required but in reality, there is a lack of knowledge in defining failure mechanism and fundamental data for this component. Therefore, in making life assessment of turbine blade, evaluation of material degradation must be a priority. For this purpose, evaluation of toughness degradation is very important. The major cause of toughness degradation in 12Cr turbine blade is reported to be critical corrosion pitting induced by segregation of impurity elements(P etc.), coarsening of carbide, and corrosion, but the of materials for in-service application. In this study, the purpose of research is focused on evaluating toughness degradation with respect to operation time for 12%Cr steel turbine blade under high temperature steam environment and quantitatively detecting the degradation properties which is the cause of toughness degradation by means of non-destructive method, electrochemical polarization.

• Journal of Advanced Marine Engineering and Technology
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• v.34 no.3
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• pp.399-406
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• 2010

The aims of this study are to provide data on the ozone dosage control system and TRO sensor performance, to assess the performance of the degradation of total residual oxidant (TRO) neutralizer and to provide data on degradation rates of TRO in the ballast tanks, following treatment by the Ozone BWTS. This study includes the results of an evaluation of the TRO neutralizer, which was tested on the test barge. Accordingly, it has undertaken the evaluation of TRO degradation rates following treatment by the Ozone BWTS.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.270-277
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• 2012

Purpose: In this paper, storage lifetime of delay system in the fuse of 81MM illuminating projectile is estimated. Methods: Accelerated degradation testings of tungsten delay system using both temperature and humidity stresses were performed, and then delay time increase of the systems were analyzed as degradation data based on distribution-based degradation processes. Results: The estimated storage lifetime of detonator is between 11.8 years and 17.6 years with each stress-life relationship. Conclusion: Comparing with field data, storage lifetime of 90% reliability is about 12 years.

• Proceedings of the Safety Management and Science Conference
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• 2011.04a
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• pp.407-417
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• 2011

기술 발전 속도가 빨라짐에 따라 부품의 개발기간이 단축되고 있다. 더욱이 최근에는 제품들의 신뢰성이 향상되어 가속수명시험을 실시하더라도 규정된 시험 시간 동안 고장을 발견할 수 없는 경우가 많이 발생하고 있다. 또한 현업에서는 성능열화에 대한 관심이 높아지고 있으며 특히 친환경차에 대한 관심이 많아지면서 연료전지 및 납-배터리의 가속열화시험법개발에 많은 관심이 증대되고 있다. 만약 고장이 발생하지 않는다고 해서 더 가혹한 스트레스를 인가하면 전혀 다른 고장 메커니즘이 나타날 수 있기 때문에 시험의 목적을 달성하기 곤란해진다. 따라서 이런 단점을 보완하기 위해 시간에 따라 정해진 시간마다 열화 특성을 갖는 특성치를 측정하여 수명을 예측하거나 신뢰성을 평가하는 열화시험, 가속열화시험을 이용한다. 본 연구는 열화데이터 분석 방법을 정리하여 현업에 적용 가능한 분석 과정을 제안하고 향후 연료전지 및 납-배터리 가속열화시험 적용방향을 제시하고자 한다.

• Proceedings of the Korea Society for Simulation Conference
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• 1994.10a
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• pp.32-32
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• 1994

In this example, a message passing based multicomputer system with general interdonnedtion network is considered. After multicomputer systems are developed with morm-hole routing network, topologies of interconecting network are not major considertion for process management and resource sharing. Tehre is an independeent operating system kernel oneach node. It communicates with other kernels using message passingmechanism. Based on this architecture, the problem is how mech does performance degradation will occur in the case of processor sharing on multicomputer systems. Processor sharing between application programs is veryimprotant decision on system performance. In almost cases, application programs running on massively parallel computer systems are not so much user-interactive. Thus, the main performance index is system throughput. Each application program has various communication patterns. and the sharing of processors causes serious performance degradation in hte worst case such that one processor is shared by two processes and another processes are waiting the messages from those processes. As a result, considering this problem is improtant since it gives the reason whether the system allows processor sharingor not. Input data has many parameters in this simulation . It contains the number of threads per task , communication patterns between threads, data generation and also defects in random inupt data. Many parallel aplication programs has its specific communication patterns, and there are computation and communication phases. Therefore, this phase informatin cannot be obtained random input data. If we get trace data from some real applications. we can simulate the problem more realistic . On the other hand, simualtion results will be waseteful unless sufficient trace data with varisous communication patterns is gathered. In this project , random input data are used for simulation . Only controllable data are the number of threads of each task and mapping strategy. First, each task runs independently. After that , each task shres one and more processors with other tasks. As more processors are shared , there will be performance degradation . Form this degradation rate , we can know the overhead of processor sharing . Process scheduling policy can affects the results of simulation . For process scheduling, priority queue and FIFO queue are implemented to support round-robin scheduling and priority scheduling.