• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.367-369
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• 2010

The purpose of this study is to develop a campus facility management system, construct 3D graphic data and attribute data of facilities on the Kumoh National Institute of Technology and then verificate the developed system's practicability. Utilized the existing campus facility data from the existing drawings, images, cadastre records and so forth, 3D position data of underground facilities surveyed with a total station and high-resolution aerial photos, 3D realistic models were produced by means of a XD2D software and a XDWORLD Builder Professional software of GIS engines. We intend to embody not only campus guide service in virtual reality space but visualization of 3D virtual campus by providing 2D and 3D data to web space using XDWORLD server soon after. It is expected that the campus facility management system is able to contribute to the integrated management of 3D facility data service, the support of prompt decision-making related to spatial affairs, the work simplification through data holding in common between the members of the staff and so forth.

• Journal of Electrical Engineering and Technology
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• 제6권5호
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• pp.658-665
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• 2011

In the present paper, a novel fast peak detector for single- or three-phase unsymmetrical voltage sags is proposed. The proposed detector is modified from a single-phase digital phase-locked loop based on a d-q transformation using an all-pass filter (APF). APF generates a virtual phase with $90^{\circ}$ phase delay. However, this virtual phase cannot reflect a sudden change of the grid voltage in the moment of voltage sag, which causes a peak value to be significantly distorted and to settle down slowly. Specifically, the settling time of the peak value is too long when voltage sag occurs around a zero crossing, such as phase $0^{\circ}$ and $180^{\circ}$. This paper describes the operating principle of the APF problem and proposes a modified all-pass filter (MAPF) to mitigate the inherent APF problem. In addition, a new fast peak detector using MAPF is proposed. The proposed detector is able to calculate a peak value within 0.5 ms, even when voltage sag occurs around zero crossing. The proposed fast peak detector is compared with the conventional detector using APF. Results show that the proposed detector has faster detection time in the whole phase range. Furthermore, the proposed fast peak detector can be effectively applied to unsymmetrical three-phase voltage sags. Simulation and experimental results verify the advantages of the proposed detector and MAPF.

• International Journal of Internet, Broadcasting and Communication
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• 제15권4호
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• pp.270-278
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• 2023

We propose a container orchestration system for process workloads that combines the potential of big data and machine learning technologies to integrate enterprise process-centric workloads. This proposed system analyzes big data generated from industrial automation to identify hidden patterns and build a machine learning prediction model. For each machine learning case, training data is loaded into a data store and preprocessed for model training. In the next step, you can use the training data to select and apply an appropriate model. Then evaluate the model using the following test data: This step is called model construction and can be performed in a deployment framework. Additionally, a visual hierarchy is constructed to display prediction results and facilitate big data analysis. In order to implement parallel computing of PCA in the proposed system, several virtual systems were implemented to build the cluster required for the big data cluster. The implementation for evaluation and analysis built the necessary clusters by creating multiple virtual machines in a big data cluster to implement parallel computation of PCA. The proposed system is modeled as layers of individual components that can be connected together. The advantage of a system is that components can be added, replaced, or reused without affecting the rest of the system.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2003년도 춘계학술대회 논문집
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• pp.321-325
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• 2003

지형에 대한 입체적인 조감도의 작성기술은 여러 건설공사의 계획수립과 설계를 위하여 매우 중요한 요소로 활용될 수가 있다. 본 연구에서는 원격탐지된 위성영상을 이용하여 기존의 수치지형도와의 결합을 통한 3차원 영상 지도의 제작을 시도하여 다차원적인 분석이 가능한 입체 영상 조감도를 작성하였다. 이를 위하여 정밀 GCP에 의한 정사투영된 영상 및 등고선으로부터 생성된 DEM의 결합으로 3차원 지형분석이 가능한 지형의 입체화를 실험하여 건설공사 예정지역의 도로 노선의 연계에 의한 입체적인 접근이 가능한 3차원 조감도를 제작할 수 있는 기술을 개발하였다. 이러한 입체 영상 조감도의 작성에 의한 다각적인 지형분석이 가능하도록 하였고, 건설공사 예정 지역의 실시간 방식으로 가상적인 접근이 가능한 연구결과를 얻어냄으로써 균형적인 국토개발 및 건설분야에서의 다양한 활용을 유도할 수 있었다.

• 한국지리정보학회지
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• 제5권3호
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• pp.1-8
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• 2002

지형에 대한 입체적인 조감도의 작성기술은 여러 건설공사의 계획수립과 설계를 위하여 매우 중요한 요소로 활용될 수 있다. 본 연구에서는 원격탐지된 위성영상을 이용하여 기존의 수치지형도와의 결합을 통한 3차원 영상 지도의 제작을 시도하여 다차원적인 분석이 가능한 입체 영상 조감도를 작성하였다. 이를 위하여 GCP에 의한 정사투영된 영상 및 등고선으로부터 생성된 DEM의 결합으로 3차원 지형분석이 가능한 지형의 입체화를 실험하여 건설공사 예정지역의 도로 노선의 연계에 의한 입체적인 접근이 가능한 3차원 조감도를 제작할 수 있는 기술을 개발하였다. 이러한 입체 영상 조감도의 작성에 의한 다각적인 지형분석이 가능하도록 하였고, 건설공사 예정 지역의 실시간적 가상적인 접근이 가능한 연구결과를 얻어냄으로써 균형적인 국토개발 및 건설분야에서의 다양한 활용을 유도할 수 있었다.

• 한국측량학회지
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• 제26권6호
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• pp.591-598
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• 2008

최근 정부에서는 도로의 기하구조 불량으로 인해 사고 발생률이 높은 대상지에 대해 위험도로개선사업을 추진 중에 있다. 비록, 도로의 노선을 선택하는 것이 기본적이고 중요한 과정이지만 노선 선정의 과정은 기술적, 안전적, 환경적인 요소들을 모두 고려해야 한다. 또한, 3차원 지형모델 기술은 대체 노선선정에 대한 설계와 계획에서 중요한 요소로 사용될 수 있다. 수치지도와 노선도의 조합에 의해 생성된 3차원 지형도를 조합한 실험의 경우, 주요 간선 도로 건설현장에서 다차원적인 접근 방법을 제공하기 위해 개발되었다. 3차원 수치표고 모형은 개발계획과 시공계획에 대해 설계 시공 현장에서 실시간 가상 접근을 제공하는 GIS기반으로 다양한 지표 분석을 가능하게 한다. 따라서 본 연구에서는 수치지도에 GPS측량과 토털스테이션(Total Station)측량을 이용하여 취득한 현황 측량 정보를 결합하여 노선 선정에 따른 3차원 공간 정보를 비교 검토하고 토공량 산정시 보다 정확한 양을 산정하여 도로선형개선에 활용할 수 있도록 하고, 주관적인 평가를 통하여 대체 노선에서 노선선정에 대한 합리적인 방법을 제시하고자 한다.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.30-31
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• 2009

Early detection of schedule delay in field construction activities is vital to project management. It provides the opportunity to initiate remedial actions and increases the chance of controlling such overruns or minimizing their impacts. This entails project managers to design, implement, and maintain a systematic approach for progress monitoring to promptly identify, process and communicate discrepancies between actual and as-planned performances as early as possible. Despite importance, systematic implementation of progress monitoring is challenging: (1) Current progress monitoring is time-consuming as it needs extensive as-planned and as-built data collection; (2) The excessive amount of work required to be performed may cause human-errors and reduce the quality of manually collected data and since only an approximate visual inspection is usually performed, makes the collected data subjective; (3) Existing methods of progress monitoring are also non-systematic and may also create a time-lag between the time progress is reported and the time progress is actually accomplished; (4) Progress reports are visually complex, and do not reflect spatial aspects of construction; and (5) Current reporting methods increase the time required to describe and explain progress in coordination meetings and in turn could delay the decision making process. In summary, with current methods, it may be not be easy to understand the progress situation clearly and quickly. To overcome such inefficiencies, this research focuses on exploring application of unsorted daily progress photograph logs - available on any construction site - as well as IFC-based 4D models for progress monitoring. Our approach is based on computing, from the images themselves, the photographer's locations and orientations, along with a sparse 3D geometric representation of the as-built scene using daily progress photographs and superimposition of the reconstructed scene over the as-planned 4D model. Within such an environment, progress photographs are registered in the virtual as-planned environment, allowing a large unstructured collection of daily construction images to be interactively explored. In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, a location-based image processing technique to be implemented and progress data to be extracted automatically. The result of progress comparison study between as-planned and as-built performances can subsequently be visualized in the D4AR - 4D Augmented Reality - environment using a traffic light metaphor. In such an environment, project participants would be able to: 1) use the 4D as-planned model as a baseline for progress monitoring, compare it to daily construction photographs and study workspace logistics; 2) interactively and remotely explore registered construction photographs in a 3D environment; 3) analyze registered images and quantify as-built progress; 4) measure discrepancies between as-planned and as-built performances; and 5) visually represent progress discrepancies through superimposition of 4D as-planned models over progress photographs, make control decisions and effectively communicate those with project participants. We present our preliminary results on two ongoing construction projects and discuss implementation, perceived benefits and future potential enhancement of this new technology in construction, in all fronts of automatic data collection, processing and communication.

• Advances in concrete construction
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• 제2권1호
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• pp.39-56
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• 2014

Corrosion in RCC structures is one of the most important factors that affects the structure's durability and subsequently causes reduction of serviceability. The most severe cause of this corrosion is chloride attack. Hence, to prevent this to happen proper understanding of the chloride penetration into concrete structures is necessary. In this study, first the mechanism of this chloride attack is understood and various parameters affecting the process are identified. Then an FEM modelling is carried out for the chloride diffusion process. The effects of fly ash and slag on the diffusion coefficient and chloride penetration depth in various mixes of concretes are also analyzed through integrating Virtual RCPT Lab and FEM.

• 한국산업융합학회 논문집
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• 제18권3호
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• pp.150-156
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• 2015

In this paper, it was proposed a new technology to improve the performance of the remote control in virtual reality applications. The operator must know the information of surroundings of the robot, collision possibility of the equipment, and force feedback of the manipulator. The time delay problem occurs in the tele-operating and it causes vibration and expressive power of the manipulator owing to bidirectional force feedback. We presented a new control method to control of the teleoperating system based on serial bus. The reliability is evaluated by simulation.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 1997년도 Proceedings International Workshop on New Video Media Technology
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• pp.101-106
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• 1997

A method is proposed to generalize the image transformation from an image to another one according to a pair of example images. When an original image and its target image are given, the unknown image transformation from the original image to the target one in automatically approximated by a sequence of several known image transformation filters by the method. The target image is assumed to be generated manually by using a drawing software. In this method, the order of image transformation filers is regarded as the chromosome of a virtual living thing and is evolved according to Genetic Algorithm. This method can be applied to automatic construction of expert systems for image processing.