• Annual Conference of KIPS
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• 2005.11a
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• pp.1403-1406
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• 2005

원자력 시설 및 연구용 원자로 해체 시 해체 일정과 해체 폐기물량 그리고 해체 비용을 분석하기 위한 평가식이 수립되었다. 연구로 2 호기 Thermal column 자료를 참고하여 평가식을 실험하였다. 해체 공정 모사 결과를 애니메이션으로 보여주는 가시화 모듈과 해체 일정과 해체 폐기물량, 작업자 피폭선량 및 해체 비용 등을 평가식으로 계산 한 후 그 결과를 그래픽으로 보여주는 시뮬레이션 모듈로 구성된 해체 디지털 목업 시스템의 그래픽 사용자 인터페이스가 설계되었다. 해체 단위 작업별 평가식은 원자력과 관련한 시설 해체 시 해체 일정 및 해체 비용 분석 및 예측에 중요한 기초자료로 사용 될 것이다. 또한 그래픽 사용자 인터페이스는 방사능의 오염으로 인해 작업자가 접근하기 힘든 환경에서의 해체 활동을 사전에 경험함으로써 피폭으로부터 작업자의 안전성을 향상시킬 수 있는 유용한 도구로 활용될 수 있다.

• Korean Journal of Construction Engineering and Management
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• v.6 no.6 s.28
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• pp.181-192
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• 2005

Labor work information can be converted into the useful construction information in an effort to analyze project status, measure performance, and design a new similar project plan. The labor work information can also be used to make productivity data, which can be used to analyze the relationship between 'as planned' and 'as built' in scheduling management of a project, and to calculate 'percent completion' as well as analyzing delay cause. It is require to effectively collect the labor work information base on the activities. In general, current project management heavily depends on the experience and judgment of project managers, according to the work progress. However, relying on the oかy experience and judgment of the project managers might deteriorate the transparency or reliability of the collected labor work information. The purpose of this research is thus to develop a computer-based system for monitoring the work information generated by labors input in activities using PDA and Barcode technologies, and to propose a application method of the productivity data for effective project management.

• The Journal of shipping and logistics
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• v.27 no.1
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• pp.79-98
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• 2011

The volume of the world's container transportation has been increasing. To serve this transportation need, the size of the container carrier is getting larger. The global ports are required to deepen the waterways as well as to prepare infrastructure to serve these super-size container carriers. However, few ports around the world could meet the requirements. To solve these difficulties, the concept of the Mobile Harbor has been developed. An onboard Automatic Storage and Retrieval System(AS/RS) has been proposed for the B1 type Mobile Harbor to maximize the container throughput within the limited space of the Mobile Harbor. A scenario of operations and freight movements of the B1 type Mobile Harbor is prepared and the storage size of the B1 type Mobile Harbor through the computer simulation is estimated. The size of the Mobile Harbor and the size of the AS/RS has also been estimated. The optimized size of the Mobile Harbor could be proposed.

• Korean Journal of Construction Engineering and Management
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• v.9 no.2
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• pp.170-181
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• 2008

Cost of construction project have to be estimated based on drawing before execution. Cost estimate and check would be performed numerously for preparing general outline of requirements and determining the budget at conceptual planning stage, for obtaining decision on every matter related to design, specification, construction and cost at design stage, and for predicting bidding cost. Thus, importance of cost estimation cannot emphasize too much in construction. However, there are lack of standard estimation method, process, and cost analysis method, that square foot estimation method is as used as eyer, in Korea. Thus, This research present the direction for improving cost estimation and management in construction; It is demanded that establishing standard data base methodology, multi-level database model CUBE, and standard cost planning process, choosing cost estimation methodology according to objectives and cost planning process, and making more experts.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.19-24
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• 2020

Artificial intelligence technology, which is the core of the 4th industrial revolution, is making intelligent judgments through deep learning techniques and machine learning that it is impossible to predict if it is applied to stock prediction beyond human capabilities. In US fund management companies, artificial intelligence is replacing the role of stock market analyst, and research in this field is actively underway. In this study, we use BLSTM to reduce errors that occur in unidirectional prediction of the existing LSTM method, reduce errors in predictions by predicting in both directions, and macroscopic indicators that affect stock prices, namely, economic growth rate, economic indicators, interest rate, analyze the trade balance, exchange rate, and volume of currency. To help stock investment by accurately predicting the target price of stocks by analyzing the PBR, BPS, and ROE of individual stocks after analyzing macro-indicators, and by analyzing the purchase and sale quantities of foreigners, institutions, pension funds, etc., which have the most influence on stock prices.

• International Commerce and Information Review
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• v.16 no.3
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• pp.73-96
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• 2014

The purpose of this research is to evaluate a short-term export demand forecasting model reflecting individual passenger vehicle brands and market characteristics by using Vector Autoregressive (VAR) models that are based on multivariate time-series model. The short-term export demand forecasting model was created by discerning theoretical potential factors that affect the short-term export demand of individual passenger vehicle brands. Quarterly short-term export demand forecasting model for two Korean small vehicle brands (Accent and Avante) were created by using VAR model. Predictive value at t+1 quarter calculated with the forecasting models for each passenger vehicle brand and the actual amount of sales were compared and evaluated by altering subject period by one quarter. As a result, RMSE % of Accent and Avante was 4.3% and 20.0% respectively. They amount to 3.9 days for Accent and 18.4 days for Avante when calculated per daily sales amount. This shows that the short-term export demand forecasting model of this research is highly usable in terms of prediction and consistency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3184-3190
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• 2013

These days, the great part of design processes in the field of ship or offshore manufacturing are planed and implemented using the customized CAD system for each ship-building companies. It means that all information for design and production could be extracted and reused at the useful other area cost considerable time and efforts. The representative example is the estimation of welding length and material amount which is demanded during the construction of ship or offshore structures. The proper estimation of welding material to be used and the usage of them at the stage of schedule planning is mostly important to achieve the seamless process of production and expect the costing in advance. This study is related to the calculation of welding length and needed material amount at the stage of design complete utilizing the CAD system. The calculated amount are classified according to welding position, stage, block, bevel and welding type. Moreover it is possible to predict the working time for welding operation and could be used efficiently for the cost management using the results of this research.

• Journal of the Korean GEO-environmental Society
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• v.19 no.5
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• pp.23-31
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• 2018

The dredging project became more important with the recent construction of off shore structures and reclamation projects. Accordingly, more exact quantitative estimation of the dredged amount should be required. The sub-sea ground information can be obtained generally by the boring investigation and the dredged amount can be estimated based on the depth or the deeper bound of a ceratin layer via 3D visualization program. During the estimation process, the input DB should be constructed with 1D elevation information from boring investigation for the spatially approximated distribution of a deeper bound of each ground layer. The input DB can be varied with the application of the borings and the approximation targets. Therefore, the 3D visualized ground profile and dredged amounts are compared on the actively dredged sites, vicinity of Saemangeum area and outer port area in Gunsan with regard to the input DB construction methods. Conclusively, the input DB based on the spatially approximated depths show higher precision results and more reasonable 3D visualized ground profiles.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.34 no.5
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• pp.271-278
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• 2021

According to the capacity design of eccentrically braced frames (EBFs), non-dissipative members such as columns, link-exterior beams, and braces must remain within the elastic region when a fully-yielded and strain-hardened link transmits force to them. The current AISC 341 standard suggests a strain-hardening factor (SHF) of 1.25 for a link under capacity design, regardless of its properties. However, all the links in an EBF are not likely to yield simultaneously to the extent to which the overstrength corresponding to 1.25 times their expected strength is attained, especially for high-rise buildings. Considering this phenomenon, a technique to predict the SHF of links at the limit state of the structure is proposed in this paper. The exact prediction of the links' SHF could save structural quantities dramatically while achieving the principle of capacity design. To validate the effectiveness of this technique, SHF values predicted by conducting linear analysis were compared with those evaluated by nonlinear analysis. Furthermore, the maximum demand-to-capacity ratios of the non-dissipative members were calculated to verify whether they would remain elastic at the limit state of the structure. Consequently, EBFs designed by the proposed method showed substantially economical quantities through the exact prediction of the SHFs, and the intention of capacity design was successfully achieved.

• Journal of the military operations research society of Korea
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• v.35 no.3
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• pp.1-15
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• 2009

Central supply depot of Air Force has been receiving and storing the goods from the inside and outside of the country. And it also has been distributing the goods to the air base by air, rail, road, etc. These goods have been called central goods. Among these central goods, 10% of them are transported by air and the amount of freight is increasing day by day. So, air transportation in the Air Force has been more important than ever. But, studies of demand estimation for activating air transportation are very difficient. This study verified the main factors affecting to air transportation and the function of regression model will be useful data for estimating air freight demand.