• Title/Summary/Keyword: operational estimation

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Analysis of Operational Availability under Changing Failure Rate and Supportability (무기체계의 고장률과 지원수준의 변화에 따른 운용가용도 변화 분석)

  • Tak, Jung Ho;Jung, Won
    • Journal of Applied Reliability
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    • v.18 no.1
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    • pp.1-7
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    • 2018
  • Purpose: Maintaining appropriate operational availability (Ao) is a key element of combat victory, but estimates vary according to estimation methods. The purpose of this study is to improve the accuracy of estimating operational availability by tracing the changes of the weapon system's failure rate, repair rate, and the level of logistic support. Methods: In order to track the change in the operating availability, the MDT (mean down time) is modeled by adding the repair time and the ALDT (administration and logistic delay time) to the service time. Results: Using the field data of the weapon system A operated by the ROKAF, the failure rate follows a non-homogeneous Poisson process that changes with time, and it is modeled considering the changing repair rate and the logistic support time. Conclusion: The accuracy of the analytical results was verified by comparing the actual operating data with the estimated availability. The results of this study can be used to track and evaluate the availability in a realistic situation where the failure rate and maintenance rate continuously change in operating environment.

A Study of Optimum Operational Methods for Domestic Wastewater Treatment Plants in Korea (국내 하수종말처리장 최적 운전 방안에 관한 연구)

  • Lee, Byong-hi;Lee, Woung-Woon
    • Journal of Korean Society of Water and Wastewater
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    • v.14 no.1
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    • pp.45-53
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    • 2000
  • The optimum operation of domestic wastewater treatment plant can give influence on operational cost and future expansion in Korea where has 93 operational domestic wastewater treatment plants. Also, the study on optimum operation can reduce operation cost and budget of municipalities whom have responsibility of wastewater treatment plant operation. In this study, 9 domestic wastewater treatment plants which can represent 93 plants in Korea have been selected and operational data are gathered. The collected data are inputted to computer simulator based on IAWQ's Activated Sludge Model No.1 and optimum operation methods are developed. Also, the electric power for aeration which has large portion of overall operation cost are calculated based on design and operation conditions and these are compared. In this study, it was found that design wastewater characteristics are 1.6 times higher than those of daily maximum except for E plant and that estimation methods for design wastewater characteristics have to be improved. Based on computer simulation, we found there is no need to operate all aeration tanks due to weak influent overall power for aeration can be reduced to about 43% of design one.

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A Study on the Operational Reliability of Dedicated Software (운영중인 전용소프트웨어의 신뢰도에 관한 연구)

  • Moon, Myung-Ho
    • Journal of Advanced Navigation Technology
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    • v.12 no.6
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    • pp.681-690
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    • 2008
  • The software reliability have to be improved as one major method to enhance the quality of developed software, and its defect is detected and modified through testing as a direct way to meet the purpose before releasing. Once its reliability grows up to the target and it is released to public. there may be operational reliability problem. The operational software reliability trend may be different depending on the condition whether it is universal or dedicated. And its reliability estimation is changed based on the condition if it follows uniform testing efforts or Weibull testing efforts. I study the operational reliability trend of dedicated software, applying two case testing efforts for the released item.

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Development of the Three-Dimensional Variational Data Assimilation System for the Republic of Korea Air Force Operational Numerical Weather Prediction System (공군 현업 수치예보를 위한 삼차원 변분 자료동화 체계 개발 연구)

  • Noh, Kyoungjo;Kim, Hyun Mee;Kim, Dae-Hui
    • Journal of the Korea Institute of Military Science and Technology
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    • v.21 no.3
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    • pp.403-412
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    • 2018
  • In this study, a three-dimensional variational(3DVAR) data assimilation system was developed for the operational numerical weather prediction(NWP) system at the Republic of Korea Air Force Weather Group. The Air Force NWP system utilizes the Weather Research and Forecasting(WRF) meso-scale regional model to provide weather information for the military service. Thus, the data assimilation system was developed based on the WRF model. Experiments were conducted to identify the nested model domain to assimilate observations and the period appropriate in estimating the background error covariance(BEC) in 3DVAR. The assimilation of observations in domain 2 is beneficial to improve 24-h forecasts in domain 3. The 24-h forecast performance does not change much depending on the estimation period of the BEC in 3DVAR. The results of this study provide a basis to establish the operational data assimilation system for the Republic of Korea Air Force Weather Group.

Risk-based Operational Planning and Scheduling Model for an Emergency Medical Center (응급의료센터를 위한 위험기반 운영계획 모델)

  • Lee, Mi Lim;Lee, Jinpyo;Park, Minjae
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.2
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    • pp.9-17
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    • 2019
  • In order to deal with high uncertainty and variability in emergency medical centers, many researchers have developed various models for their operational planning and scheduling. However, most of the models just provide static plans without any risk measures as their results, and thus the users often lose the opportunity to analyze how much risk the patients have, whether the plan is still implementable or how the plan should be changed when an unexpected event happens. In this study, we construct a simulation model combined with a risk-based planning and scheduling module designed by Simio LLC. In addition to static schedules, it provides possibility of treatment delay for each patient as a risk measure, and updates the schedule to avoid the risk when it is needed. By using the simulation model, the users can experiment various scenarios in operations quickly, and also can make a decision not based on their past experience or intuition but based on scientific estimation of risks even in urgent situations. An example of such an operational decision making process is demonstrated for a real mid-size emergency medical center located in Seoul, Republic of Korea. The model is designed for temporal short-term planning especially, but it can be expanded for long-term planning also with some appropriate adjustments.

A study on the PSD sensor system for localization of mobile robots (이동 로봇의 위치측정을 위한 PSD 센서 시스템에 관한 연구)

  • Ro, Young-Shick
    • Journal of Institute of Control, Robotics and Systems
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    • v.2 no.4
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    • pp.330-336
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    • 1996
  • An real-time active beacon localization system for mobile robots is developed and implemented. This system permits the estimation of robot positions when detecting light sources by PSD(Position Sensitive Detector) sensor which are placed sparsely over the robots work space as beacons(or landmarks). An LSE(Least Square Estimation) method is introduced to calibrate the internal parameters of a model for the beacon and robot position. The proposed system has two operational modes of position estimation. One is the initial position calculation by the detection of two or more light sources positions of which are known. The other is the continuous position compensation that calculates the position and heading of the robot using the IEKF(Iterated Extended Kalman Filter) applied to the beacon and dead-reckoning data. Practical experiments show that the estimated position obtained by this system is precise enough to be useful for the navigation of robots.

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Navigation of a mobile robot using active landmarks (능동 표식을 이용한 이동 로봇의 운행)

  • 노영식;김재숙;권석근
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.916-919
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    • 1996
  • An real-time active beacon localization system for mobile robots is developed and implemented. This system permits the estimation of robot positions when detecting light sources by PSD(Position Sensitive Detector) sensor which are placed sparsely over the robot's work space as beacons(or landmarks). An LSE(Least Square Estimation) method is introduced to calibrate the internal parameters of a model for the beacon and robot position. The proposed system has two operational modes of position estimation. One is the initial position calculation by the detection of two or more light sources positions of which are known. The other is the continuous position compensation that calculates the position and heading of the robot using the IEKF(Iterated Extended Kalman Filter) applied to the beacon and dead-reckoning data. Practical experiments show that the estimated position obtained by this system is precise enough to be useful for the navigation of robots.

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