http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
이창용,조겸래,이대우,조윤철,Yi, Chang-Yong,Cho, Kyeum-Rae,Lee, Dae-Woo,Cho, Yun-Cheol 한국항공운항학회 2016 한국항공운항학회지 Vol.24 No.2
A GPS/SDINS/ST(Star Tracker) integrated sensor algorithm is more robust than the GPS/SDINS and the ST/SDINS systems on exploration of other planets. Most of the advanced studies shown that GPS/SDINS/ST integrated sensor with centralized Kalman filter was more accurate than those 2 integrated systems. The system, however, consist of a single filter, it is vulnerable to defects on failed data. To improve the problem, we work out a study using federated Kalman filter(No-Reset mode) and centralized Kalman filter with adaptive measurement fusion which known as robustness on fault. The simulation results show that the debasing influences are reduced and the computation is enable at least 100Hz. Further researches that the initial calibration in accordance with observability and applying the exploration trajectory are needed.
이창용,곽한성,이동은,Yi, Chang-Yong,Gwak, Han-Seong,Lee, Dong-Eun 大韓建築學會 2014 大韓建築學會論文集 : 構造系 Vol.30 No.8
Reducing greenhouse gas(GHG) emissions is a worldwide concern. Low carbon construction is an important operation management goal. Construction resources(i.e., equipment and laborer) are major contributors to producing GHG, and they are the main target for achieving low carbon construction. The amount of Carbon emissions varies depending on the operating conditions. This paper introduces a method which measures the variability of carbon emissions amounts. First, it allows creating construction operation models of which the level of detail is breakdown into the work task level. It makes use of the equipments' hourly fuel consumption and laborers' hourly respiration rate. Second, the method implements sensitivity analysis along with ranges of resources that are allocated in an operation model. It facilitates to find the optimal resource combination using the operation performances such as the amount of emissions, operation completion time, operation completion cost, and productivity. Third, it identifies the best fit probability distribution functions of performance criteria given a certain resource combination. It allows project manager to query the chance to complete the operation within limitations of multiple performance criteria specified by the system users.
이창용(Yi, Chang-Yong),이홍철(Lee, Hong-Cheul),서종원(Seo, Jong-Won),이동은(Lee, Dong-Eun) 대한건축학회 2015 大韓建築學會論文集 : 構造系 Vol.31 No.4
Construction equipment are main distributors for energy consumption in construction projects. If the construction sector reduces the amount of diesel fuel consumption by 10%, the energy saving attributed to entire industry sources would be approximately 5%. The equipment-intensive operation is tightly involved in energy-intensive operation. Energy considerative operation is a major issues in equipment-intensive operations (e.g., earthmoving or paving operations). Accordingly, the identification of optimal equipment fleet is important measure to achieve low-energy consumption in those operations. This paper presents a system which finds an optimal equipment fleet by computing the low-energy performance of earthmoving operations. It allows creating construction operation model and comparing numerous scenarios using alternative equipment allocation plans. It implements sensitivity analysis that facilitates to find the most low-energy consumption equipment fleet by enumerating all cases exhaustively. A case study is presented to demonstrate the system and to verify the validity of it.
네스팅 기법을 활용한 공정 및 일정 통합 시뮬레이션 시스템
이창용(Yi Chang-Yong),이동은(Lee Dong-Eun) 대한건축학회 2009 大韓建築學會論文集 : 構造系 Vol.25 No.9
Simulation applications for analyzing the productivity of construction operations at operation level and project schedules at project level are crucial methods in project management. The application at two different levels should be very tightly linked to each other in practice. However, appropriate integration at the levels is not achieved in that existing systems do not support to integrate operation models into a schedule model. This paper presents a new approach named to Discrete Event Simulation-Nesting modeling approach, which supports not only productivity analysis at operation level but also schedule management at a project level. The system developed by the authors allows creating operation models at the operation level, maintaining them in operation model library, executing sensitivity analysis to find the behaviors of the operation models when different combination of resources are used as existing DES systems do. On top of the conventional functions, the new system facilitates to find the optimum solution of resource combinations which satisfy the user’s interest by computing the hourly productivity and the hourly cost of the operation. The operation models are integrated into an activity of the schedule model. When a complete schedule model is established by nesting operation models into the schedule model, stochastic simulation based scheduling is executed. A case study is presented to demonstrate the new simulation system and verify the validity of the system.
확률 · 통계적 건설공정 이산화탄소 배출량 추정 방법론
이창용(Yi, Chang-Yong),곽한성(Gwak, Han-Seong),이동은(Lee, Dong-Eun) 대한건축학회 2014 大韓建築學會論文集 : 構造系 Vol.30 No.8
Reducing greenhouse gas(GHG) emissions is a worldwide concern. Low carbon construction is an important operation management goal. Construction resources(i.e., equipment and laborer) are major contributors to producing GHG, and they are the main target for achieving low carbon construction. The amount of Carbon emissions varies depending on the operating conditions. This paper introduces a method which measures the variability of carbon emissions amounts. First, it allows creating construction operation models of which the level of detail is breakdown into the work task level. It makes use of the equipments" hourly fuel consumption and laborers" hourly respiration rate. Second, the method implements sensitivity analysis along with ranges of resources that are allocated in an operation model. It facilitates to find the optimal resource combination using the operation performances such as the amount of emissions, operation completion time, operation completion cost, and productivity. Third, it identifies the best fit probability distribution functions of performance criteria given a certain resource combination. It allows project manager to query the chance to complete the operation within limitations of multiple performance criteria specified by the system users.
이동은,곽한성,이창용,Lee, Dong-Eun,Gwak, Han-Seong,Yi, Chang-Yong 大韓建築學會 2015 大韓建築學會論文集 : 構造系 Vol.31 No.2
This paper presents a computational method that computes exact solution for activity overlapping involved in project time-cost tradeoff analysis. The method introduces a concept of rework cost-slope and identifies optimal overlap rate between preceding and succeeding critical activities. The mathematical concepts relative to the exact method are clearly defined and the procedures to formulate the variables are explained in detail. The method identifies the activities and their exact overlapping rates to meet a job site specific needs exactly. It maximizes usability of schedule data obtained from commercial CPM softwares(e.g., P3, SureTrak). Decision makers(i.e., project manager etc.) may make the appropriate decision in accordance with the site-specific conditions involved in the overlapping rates among critical activities. Case studies verify the usability and the validity of the system.
곽한성(Gwak, Han-Seong),이창용(Yi, Chang-Yong),이동은(Lee, Dong-Eun) 대한건축학회 2014 大韓建築學會論文集 : 構造系 Vol.30 No.3
Planning earthmoving haul-route must be preceded for appropriate equipment fleet assignment. However, traditional haul-route planning methods have limitations relative to practical usage because multiple variables (e.g., grade/rolling resistance, length, equipment"s weight etc.) should be considered at a time. Genetic algorithm(GA) was introduced to improve these traditional methods. However, GA based haul-route planning method still remains in inefficiency relative to computation performance. This study presents a new haul-route searching method that computes an optimal haul-route using GA. Sensitivity analysis is incorporated in to the system to facilitate finding optimal combination of GA parameters. In addition, simulation is also adopted to improve the reliability of GA experiment. The system prototype is developed by using MATLAB(ver. 2008b). The system identifies an optimal haul-route by considering equipment type, soil type, and soil condition. A case study is presented to demonstrate the system and to verify the validity of the system.