• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.4 no.2
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• pp.171-178
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• 2006

Decommissioning cost estimation is a very important technique in designing and planning of nuclear facilities' decommissioning. Decommissioning cost estimation should be made according to the phases of decommissioning activities and installed components of nuclear facilities. In this paper, the basic framework necessary for decommissioning cost estimation is completed so that it could be used as a technique for decommissioning costs estimation by specifying cost items and group components and unit cost factors on which work time is calculated. Also, factors to be considered for decommissioning cost estimation of major activities and tasks are reviewed. Afterwards, these techniques will be utilized as a basic technology to establish methodology of decommissioning cost estimation and evaluation.

• Proceedings of the Safety Management and Science Conference
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• 2003.11a
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• pp.15-20
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• 2003

본 연구에서는 계절별 기후인자를 고려하여 정성적 및 정량적 위험성 평가를 실시하여 사고 시나리오를 설정하였고, 비용-편익분석을 실시하여 사고 시나리오별 안전관리 비의 효율을 분석하였다. 그 결과, 최악의 시나리오는 비정상조업에서 유지보수 오류이었고, 가능성 있는 시나리오는 HAZOP 구간#4에서 발생되는 가스 누출사고이었으며, 각 사고 시나리오에서 전체 안전관리 투자비에 대한 편익/비용은 0.043과 0.13이었다. 이때 각 사고 시나리오에서 비용 효과적인 안전관리 항목을 평가할 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.4
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• pp.365-373
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• 2019

An Image Infra-Red(IIR) seeker is widely used for precision guided munitions to provide intelligent and precise target detection in terms of high kill probability. However, there have been issues in determining the performance versus cost trade-offs due to high cost of seeker comparing to other units of the munitions. In this paper, performance/cost evaluations have been carried out to find the most cost-effective solution for developing the IIR seekers. The relationships between the critical parameters and cost are investigated to determine the optimal point which represents the low cost with high performance. It is expected that the presented approach will be able to be used for guidelines to select the appropriate IIR seeker for the given operating conditions and can be useful to estimate the cost effectiveness of the precision guided munitions at early design stage.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.3-9
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• 2016

This study proposes a approximate cost estimation system based on Excel with VBA using weighted CBR(Case Based Reasoning). One characteristic of this system is that it generates the sheet automatically as many as the number of similar case and new estimation when it performs a case learning and a new estimate and cell formula is automatically entered into each sheet. User can be free to compose a combination of attribute factors because they can select up to ten attribute factors. This paper presents an applicability of estimation model for estimating the soil remediation cost when it use a landfarming method. When compared to a estimation model by using average unit cost and optimum multiple regression, this model shows a better result. This study was aimed at landfarming method, but it is expected that a cost estimation model using CBR will be more likely to apply in soil remediation technologies which various remediation technologies and pollutant species exist.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.219-219
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• 2020

하천의 수질을 나타내는 환경지표 중 국가 TMS(Tele Monitoring system)의 수질측정망을 통해 관리되고 있는 지표로는 DO, BOD, COD, SS, TN, TP 등 여러 인자들이 있다. 이러한 수질인자는 하천의 자정작용에 있어 많은 영향을 나타내고 있다. 이를 활용한 경제적이고 합리적인 수질관리를 위해 하천의 자정작용을 활용하는 것이 중요하다. 생물학적 작용을 가장 효과적으로 활용하기 위해서는 수질오염 데이터에 기초한 수질예측을 채택하여 적절한 대책이 필요하다. 이를 위해서는 수질인자의 데이터를 측정하고 축적해 수질오염을 예측하는 것이 필수적인데, 실제적으로 수질인자의 일일 측정은 비용 관점에서 쉽게 접근할 수 없다. 본 연구에서는 시계열 학습으로 알려진 RNN-LSTM(Recurrent Neural Network-Long Term Memory) 알고리즘을 활용하여 기존에 측정된 수질인자의 데이터를 통해 시간당 및 일일 수질인자를 예측하려고 했다. 연구에 앞서, 기존에 시간단위로 측정된 수질인자 데이터의 이상 유무를 확인 후, 에러값은 제거하고 12시간 이하 데이터가 누락되었을 때는 선형 보간하여 데이터를 사용하고, 1일 데이터도 10일 이하 데이터가 누락되었을 때 선형 보간하여 데이터를 활용하여 수질인자를 예측하였다. 수질인자를 예측하기 위해 구글이 개발한 딥러닝 오픈소스 라이브러리인 텐서플로우를 활용하였고, 연구지역으로는 대한민국 부산에 위치한 온천천의 유역을 선정하였다. 수질인자 데이터 수집은 부산광역시에서 운영하는 보건환경정보 공개시스템의 자료를 활용하였다. 모델의 연구를 위해 하천의 수질인자, 기상자료 데이터를 입력자료로 활용하였다. 분석에서는 입력자료와, 반복횟수, 시계열의 길이 등을 조절해 수질 요인을 예측했고, 모델의 정확도도 분석하였다.

• Journal of Advanced Navigation Technology
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• v.19 no.1
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• pp.53-59
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• 2015

We consider the problems that consist of designing time, establishment cost, delay time and reliability in designing a mesh network when given link costs and traffic requirements between nodes. Designing time, establishment cost and delay time are less, reliability is higher in designing a mesh network. One of the problems designing time is solved by mesh network topology optimization and routing (MENTOR) algorithm that Aaron Kershenbaum propose, but the others remain. In this paper we propose a new mesh network design algorithm with small computational complexity that the others are solved. The result of the proposed algorithm is better than MENTOR's in total establishment cost, delay time and reliability.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.1
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• pp.19-26
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• 2001

The Organizations working with technological projects will be more and more common to connect consultants. Those who shall carry out the pre-analysis of the projects ought to have a professional knowledge to the area about economical methods with information technology and changed technology of surveying and mapping. New surveying and mapping methods, such as TotalStation, GPS, orthophoto, digital map, and satellite remote sensing, have totally changed the old concept of surveying. Also the technology for the new mapping has greatly changed from analog to analytical to digital during the past 50 years. Now, the proper choice of surveying and mapping methods becomes a decision on cost and efficiency rather than the use of a particular technology. As an example, GPS equipment dose cost considerably more than traditional surveying equipment, but the advantages it provides make it very cost-effective. In this study, the cost and benefit factors of the surveying and mapping projects are evaluated independently and benefit/cost ratio(B/C ratio) is used in benefit-cost evaluation of the different surveying methods. The benefit-cost model of surveying and mapping methods will produce economical result in the whole projects.

• Journal of KIISE:Computer Systems and Theory
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• v.34 no.11
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• pp.599-609
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• 2007

Due to the restrictions of Flash memory such as overwrite limitation and write/erase operational unit differences, block cleaning is required in Flash memory based file systems and known as a key factor on the performance of file systems. In this paper, we identify three parameters, namely utilization, invalidity and uniformity, and analyze how the parameters affect the cost of block cleaning. The analysis show that as uniformity degrades, the cost of block cleaning increases drastically. To overcome this problem, we design a new modification-aware(MODA) page allocation scheme that strives to keep uniformity high by separating frequently-updating data from infrequently-updating data. Real implementation experiments conducted on an embedded system show that the MODA scheme can actually enhance uniformity of Flash memory, which consequently leads to reduce the cost of block cleaning with an average of 123%, compared to the traditional sequential allocation scheme that is used in YAFFS.

• The KIPS Transactions:PartD
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• v.13D no.6 s.109
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• pp.815-822
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• 2006

It is very important that they accurately predict the software development cost in the early stage of a software development. Because cost estimations are required when bidding for a contract or determining whether a project is feasible in terms of a cost-benefit analysis. The criterions of the software cost estimation was set up to calculate software development cost more exactly, which is applied to made up a budget of the software business or to calculate a suitable cost to start the business in our country. However, as the software technology and environment are changing very rapidly, it need to enhance the criterion of the cost estimation continuously. Therefore, we tried to apply technology of software and a variety of factors of environment changes in present. Most of all, we proposed an introduction and readjustment of the adjustment factor applying 14 general system characteristics to improve the accuracy of the cost estimation and the schedule adjustment factor that is required by practicians. For evaluating the accuracy in terms of the real data, we have used MMRE & PRED. In result, we proved that the accuracy was clearly improved by applying the scale factor and readjusted VAF with 14 general system characteristics. Moreover, we evaluated the accuracy of the schedule adjustment factor.

• Journal of the military operations research society of Korea
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• v.36 no.3
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• pp.69-81
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• 2010

Since the mid-nineties, Republic of Korean Army has officially adapted information technology. Starting with the Chang-Jo 21('99) training M&S Model, around seventy types of the M&S system software, including Ground Operations & Resources Requirement Analysis Model ('10), developed by Republic of Korea Army or foreign counterparts have been utilized. However, as the existing cost estimations of the Defense M&S system software fail to reflect the acquisition and development environment, the estimated costs have been frequently overestimated or underestimated. This paper provides a suitable cost estimation model for the Defense M&S system software by presenting the software cost drivers which reflect the unique software development environment of the Defense.