• Title/Summary/Keyword: Accumulated Cost

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A Study on Developing a Case-based Forecasting Model for Monthly Expenditures of Residential Building Projects (사례기반추론을 이용한 공동주택의 월간투입비용 예측모델 개발에 관한 연구)

  • Yi, June-Seong
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.2 s.30
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    • pp.138-147
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    • 2006
  • The objective of this research is to explore a more precise forecasting method by applying Case-based Reasoning (CBR). The newly suggested method in this study enables project managers to forecast monthly expenditures with less time and effort by retrieving and referring only projects of a similar nature, while filtering out irrelevant cases included in database. For the purpose of accurate forecasting, 1) the choice of the numbers of referring projects and 2) the better selection among three levels ? which include a 20-work package level, a 7-major work package level, and a total sum level analysis, were investigated in detail. It is concluded that selecting similar projects at $12{\sim}19%$ out of the whole database will produce a more precise forecasting. The new forecasting model, which suggests the predicted values based on previous projects, is more than just a forecasting methodology; it provides a bridge that enables current data collection techniques to be used within the context of the accumulated information. This will eventually help all the participants in the construction industry to build up the knowledge derived from invaluable experience.

Stochastic Disaggregation and Aggregation of Localized Uncertainty in Pavement Deterioration Process (포장파손과정의 지역적 불확실성에 대한 확률적 분해와 조합)

  • Han, Daeseok
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.4
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    • pp.1651-1664
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    • 2013
  • Precise analysis on deterioration processes of road pavements is not so simple matter due to severe uncertainty originated from a lot of explanatory variables engaged in. For those reasons, most analytical models for pavement deterioration prediction have often preferred to probabilistic approaches than deterministic models. However, the general probabilistic approaches that treat overall characteristics of population or entire sample would not be suitable for providing detail or localized information on their changing process. Considering the aspects, this paper aimed to suggest a stochastic disaggregation method to analyze the localized deterioration speeds and its variances changed by time and condition states. In addition, life expectancies and their uncertainty were estimated by probabilistic algorithm using the disaggregated stochastic process. For an empirical study, pavement inspection data (crack) accumulated from 2003 to 2010 from Korean national highway network was applied. This study can contribute to securing reliability of life cycle cost analysis, which is one of the primary analyses in road asset management, with much advanced deterioration forecasting functions. In addition, it would be meaningful trials as fundamental research for preventive maintenance strategy that demands essential understanding on changing process of the deterioration speed of pavement.

A Study on Selection of Block Stockyard Applying Decision Tree Learning Algorithm (의사결정트리 학습을 적용한 조선소 블록 적치 위치 선정에 관한 연구)

  • Nam, Byeong-Wook;Lee, Kyung-Ho;Lee, Jae-Joon;Mun, Seung-Hwan
    • Journal of the Society of Naval Architects of Korea
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    • v.54 no.5
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    • pp.421-429
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    • 2017
  • It is very important to manage the position of the blocks in the shipyard where the work is completed, or the blocks need to be moved for the next process operation. The moving distance of the block increases according to the position of the block stockyard. As the travel distance increases, the number of trips and travel distance of the transporter increases, which causes a great deal of operation cost. Currently, the selection of the block position in the shipyard is based on the know-how of picking up a transporter worker by the production schedule of the block, and the location where the block is to be placed is determined according to the situation in the stockyard. The know-how to select the position of the block is the result of optimizing the position of the block in the shipyard for a long time. In this study, we used the accumulated data as a result of the operation of the yard in the shipyard and tried to select the location of blocks by learning it. Decision tree learning algorithm was used for learning, and a prototype was developed using it. Finally, we prove the possibility of selecting a block stockyard through this algorithm.

A Study of Restoration Path Tracking Method for Urban Stream (도시하천 복원경로 추적방안에 관한 연구)

  • Lim, Yong-Ho;Um, Jung-Sup
    • Journal of Korea Spatial Information System Society
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    • v.10 no.2
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    • pp.25-33
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    • 2008
  • The aim of this research was to track the appropriate path favorable to urban development when finding small streams which had been destroyed during the process of urbanization and restoring the streams to a natural flow. This research located the targeted streams in the urban area by using GIS, and designated 3 main factors in restoring small streams: altitude, the usage of land, and land prices. After analyzing the possibilities and outcomes of each factor, the study found the most suitable remedy reflecting those 3 factors. Since there are various effects on stream restoration, based on these 3 factors, the study found and used the most viable factor in accordance with its importance. Using this template, the study developed a method to track the most appropriate restoration path. The study results will contribute to finding, and the restoration of disappeared streams for making more pleasant urban life and an environmentally-friendly city.

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A Study to Analyze Service Life of Expressway Pavement according to Traffic Volumes and De-icing Chemicals (교통량 및 제설제 사용량에 따른 고속도로 포장의 공용수명 분석)

  • Kim, Chan-Woo;An, Soo-Han;Park, Hee-Young;Lee, Jung-Hun;Jung, Chul-Ki
    • International Journal of Highway Engineering
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    • v.17 no.1
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    • pp.35-41
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    • 2015
  • PURPOSES : The purpose of this study is to analyze the service life of expressway pavement based on both traffic volumes and use of deicing chemicals. METHODS : A database was built using expressway rehabilitation history information from over the last decade. In order to estimate the service life of expressway pavement, various analysis methods were considered, and a decision was made to perform analysis using a method based on an accumulated rehabilitation ratio. The service life of expressway pavement was then analyzed by classifying the scale of traffic volume and extent of de-icing chemicals used. RESULTS : The service life of PMA and SMA ranged from 7.8 to 10.6 years and from 9.9 to 12.0 years, respectively. The service life of JCP ranged from 16.0 to 22.2 years, and the service life of CRCP was 33.5 years on average. Results of assessing service life according to traffic volumes and de-icing chemicals showed that the lower the traffic volumes were, the greater the service life of PMA and JCP, and the less that de-icing chemicals were applied, the greater the service life of JCP. CONCLUSIONS : The dependence of expressway pavement service life on traffic volumes and de-icing chemicals makes it possible to apply LCCA for regional maintenance plans and cost-effective selection of expressway pavement type.

Industry-specific skills and Wage (산업특수적 숙련과 임금)

  • Cheon, Byung You
    • Journal of Labour Economics
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    • v.24 no.1
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    • pp.125-147
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    • 2001
  • It is expected that labor mobility and inter-industry labor turnover would rise due to the rapid changes in the industrial structure and legal institutions of layoffs after the 1997 economic crisis in Korea. One aspect of economic costs of labor mobility is demise of accumulated skills of workers. Workers' skills could be decomposed into three parts, general skills, firm-specific skills, and industry-specific skills. Using data from the panal data of Korea Labor Institute(KLIPS), I show that the net return to seniority is markedly reduced once industry-experience are controlled for. The returns to industry-specific experience are relatively high. Particularly, the experience in one-digit industry is more important for the white-collar workers, while the experience in three-digit industry is also important for the blue-collar workers. Therefore, it seems that the economic cost of labor mobility would be diverse between the skills and between the working classes.

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Use of Non-Parametric Statistical Method in Identifying Repetitive High Dose Jobs in a Nuclear Power Plant (비모수통계방법을 이용한 원자력발전소 작업자 반복성 고피폭작업 도출)

  • Young-Ho Cho;Young-Hoi Herr
    • Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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    • v.2 no.1
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    • pp.41-51
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    • 2004
  • The cost-effective reduction of occupational radiation dose (ORD) at a nuclear power plant could not be achieved without going through an extensive analysis of accumulated ORD data of existing plants. Through the data analysis, it is required to identify what are the jobs of repetitive high ORD at the nuclear power plant. In this study, Percentile Rank Sum Method (PRSM) is proposed to identify repetitive high ORD jobs, which is based on non-parametric statistical theory. As a case study, the method is applied to ORD data of maintenance and repair jobs at Kori units 3 and 4 that are pressurized water reactors with 950 MWe capacity and have been operated since 1986 and 1987, respectively in Korea. The results was verified and validated, and PRSM has been demonstrated to be an efficient method of analyzing the data.

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A Fast Multiresolution Motion Estimation Algorithm in the Adaptive Wavelet Transform Domain (적응적 웨이브렛 영역에서의 고속의 다해상도 움직임 예측방법)

  • 신종홍;김상준;지인호
    • Journal of Broadcast Engineering
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    • v.7 no.1
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    • pp.55-65
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    • 2002
  • Wavelet transform has recently emerged as a promising technique for video processing applications due to its flexibility in representing non-stationary video signals. Motion estimation which uses wavelet transform of octave band division method is applied In many places but if motion estimation error happens in the lowest frequency band. motion estimation error is accumulated by next time strep and there has the Problem that time and the data amount that are cost In calculation at each steps are increased. On the other hand. wavelet packet that achieved the best image quality in a given bit rate from a rate-distortion sense is suggested. But, this method has the disadvantage of time costs on designing wavelet packet. In order to solve this problem we solved this problem by introducing Top_down method. But we did not find the optimum solution in a given butt rate. That image variance can represent image complexity is considered in this paper. In this paper. we propose a fast multiresolution motion estimation scheme based on the adaptive wavelet transform for video compression.

Performance Enhancement and Recovery Method of Open Cathode PEMFC (오픈 캐소드형 고분자전해질 연료전지의 성능향상과 회복기법)

  • Lee, Kitaek;Kim, Junbom
    • Applied Chemistry for Engineering
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    • v.28 no.1
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    • pp.118-124
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    • 2017
  • An air cooling, open cathode type polymer electrolyte membrane fuel cell (PEMFC) has the advantages of system simplification and cost effectiveness. Open cathode PEMFC could suffer from reduced performance due to the membrane dehydration in low humidity of air. Effects of the cathode air flow rate, anode purge interval and long term storage on PEMFC performance were investigated in this work. Fan voltage is an important factor on air cooling PEMFC performance because the cathode air flow rate and stack temperature were controlled by fan voltage. The dead ended anode (DEA) method was applied to increase hydrogen usage. Periodical purge was used to discharge accumulated water and gas. The influence of long term non-operating condition on PEMFC performance degradation due to the membrane dehydration was also studied and the quick recovery method was developed.

Implementation of PC based Motor Fault Diagnosis System (PC 기반 전동기 고장 진단 시스템의 구현)

  • Doo, Seung-Ho;Park, Jin-Bae;Kwak, Ki-Seok
    • Proceedings of the KIEE Conference
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    • 2006.07b
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    • pp.1229-1230
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    • 2006
  • This study is for implementation of PC based Motor fault diagnosis system. By using harmonics and current signals of the motor, this system diagnoses the motor condition by accumulated harmonic contribution rate. In this proposed system that was composed of 5 parts. A sensor, connection box, evaluation board, device server, and main computer are those. There were two types of sensor, one was harmonic sensor the other was current sensors. The signal was acquired by sensor, and transferred to evaluation board. Second one is connection box. Because the output type of sensor and input type of evaluation board is different, connection box was necessary. Third one was evaluation board. The signal from the sensor was converted to digital signal in evaluation board. And this signal was transferred to device server. Fourth one was device server. Device server transferred the data from evaluation board to main computer. And the last one was other parts controlled by main computer in main computer, there were communication and diagnosis algorithms. The result was derived by main computer. In the result, there were 12 categories and 5 levels of motor conditions. The proposed system had some advantages comparing with stand alone type commercial motor fault diagnosis system. The first, by using remote access it was easier to get the conditions of motor. The second, there was no need to handle the sensors when users measured the motor signals. By this property, no one was necessary at motor location site. The third, this system was less restricted by times and places than commercial stand alone type diagnosis system. Therefore users can operate this system only using the main computer. Once the sensors are installed at the motor, users doesn't need to move to check up the condition of motors. Moreover, if there is ethernet hub, many motors can be not only diagnosed at once but also decreased its cost.

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