• Korean Journal of Geomatics
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• 제1권1호
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• pp.21-26
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• 2001

Total Station (TS) is currently widespread and used in many fields of surveying projects. However, its application functions are not perfectly understood and so insufficiently used. One of them is indirect leveling method using TS. Because we can reach a considerable accuracy level with this method, it is gradually expanding for public surveying works such as construction of roads, airports and harbors. This paper gives results of an experiment to increase accuracy of indirect leveling by TS without direct leveling, which is more comfortable and quick to determine elevation.

• 한국측량학회지
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• 제25권4호
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• pp.299-307
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• 2007

본 연구는 GPS 상시관측점을 이용한 간접수준측량의 활성화를 위한 기반 작업인 GPS 상시관측점의 실용표고 계산에 관한 것이다. 직접수준측량과 GPS 간접수준측량, 그리고 중력측량 결과들을 조합하여 GPS 상시관측점의 안테나 참조점에 대한 표고좌표를 정밀하게 계산하는 방법을 제시하였으며, 우리나라 수준점 성과의 정밀도와 측량작업의 정밀도에 근거하여 계산된 표고좌표에 대한 기대오차를 예측하고, 실제 측정결과의 정확도를 이용하여 검정함으로써, 계산된 표고좌표에 대한 신뢰도를 분석하였다.

• 한국BIM학회 논문집
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• 제9권2호
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• pp.1-10
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• 2019

In this research, schedule optimization is defined as balancing the number of workers while keeping the demand and needs of the project resources, creating the perfect schedule for each activity. Therefore, when one optimizes a schedule, multiple potentials of schedule changes are assessed to get an instant view of changes that avoid any over and under staffing while maximizing productivity levels for the available labor cost. Optimizing the number of workers in the scheduling process is not a simple task since it usually involves many different factors to be considered such as the development of quantity take-offs, cost estimating, scheduling, direct/indirect costs, and borrowing costs in cash flow while each factor affecting the others simultaneously. That is why the optimization process usually requires complex computational simulations/modeling. This research attempts to find an optimal selection of daily maximum workers in a project while considering the impacts of other factors at the same time through OPEN BIM based multiple computer simulations in resource leveling. This paper integrates several different processes such as quantity take-offs, cost estimating, and scheduling processes through computer aided simulations and prediction in generating/comparing different outcomes of each process. To achieve interoperability among different simulation processes, this research utilized data exchanges supported by building SMART-IFC effort in automating the data extraction and retrieval. Numerous computer simulations were run, which included necessary aspects of construction scheduling, to produce sufficient alternatives for a given project.