• 한국BIM학회 논문집
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• 제13권1호
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• pp.22-32
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• 2023

Due to the increased use of digital maps in the construction industry, there is a growing demand for high-quality digital map analysis. With the large amounts of data found in digital maps at earthwork sites, there is a particular need to enhance the accuracy and speed of digital map analysis. To address this issue, our study aims to develop new technology and verify its performance to address non-ground and range mismatch issues that commonly arise. Additionally, our study presents a new digital map analysis framework for earthwork sites that utilizes three newly developed technologies to improve the performance of digital map analysis. Through this, it achieved about 95% improvement in analysis performance compared to the existing framework. This study is expected to contribute to the improvement of the quality of digital map analysis data of earthworks.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2007년도 춘계학술발표회 논문집
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• pp.289-293
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• 2007

Because the current numerical value map and update system in use do not reflect rapidly enough the transformation of topography, their usage are gradually in decrease. Therefore, there is an increasing demand for reception update system of numerical value map which can guarantee the accuracy and up-to-dateness of data. While rapid detection of topographical transformation is essential for rapid updating, the existing research based on remote investigation or direct measurement was difficult to apply efficiently in terms of cost and accuracy. Thereupon, this research aims to present efficient methods of detecting topographical transformations for a frequent real time updating of numerical value map using the topographical transformation and related data inputted in real time into the administrative information system.

• ETRI Journal
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• 제37권2호
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• pp.317-327
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• 2015

A reliable analysis of consumer preference from a large amount of purchase data acquired in real time and an accurate customer characterization technique are essential for successful direct marketing campaigns. In this study, an optimal segmentation of post office customers in Korea is performed using a subspace projection-based clustering method to generate an accurate customer characterization from a high-dimensional census dataset. Moreover, a traditional temporal mining method is extended to an algorithm using the MapReduce framework for a consumer preference analysis. The experimental results show that it is possible to use parallel mining through a MapReduce-based algorithm and that the execution time of the algorithm is faster than that of a traditional method.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.690-693
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• 2004

This paper proposes a multi-resolution electrostatic potential field (MREPF) based solution to the mobile robot path planning and collision avoidance problem in 2D dynamic environment. The MREPF is an environment method in calculation time and updating field map. The large scale resolution map is added to EPF and this resolution map interacts with the small scale resolution map to find an optimal solution in real time. This approach can be interpreted with Atlantis model. The simulation studies show the efficiency of the proposed algorithm.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2002년도 추계학술대회 논문집
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• pp.616-619
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• 2002

The z-map structure is widely used for NC tool path verification as it is very simple and fast in calculation of Boolean operations. However, if the number of the x-y grid points in a z-map is increased to enhance its accuracy, the computation time for NC verification increases rapidly. To reduce this computation time, we proposed a NC verification method using 3-D graphic acceleration hardwares. In this method, the z-map of the resultant workpiece machined by a NC program is obtained by rendering tool swept volumes along tool pathos and reading the depth buffer of the graphic card. The experimental results show that this hardware-based method is faster than the conventional software-based method.

• International Journal of Computer Science & Network Security
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• 제23권5호
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• pp.207-211
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• 2023

Traditional methods for datamining typically assume that the data is small, centralized, memory resident and static. But this assumption is no longer acceptable, because datasets are growing very fast hence becoming huge from time to time. There is fast growing need to manage data with efficient mining algorithms. In such a scenario it is inevitable to carry out data mining in a distributed environment and Frequent Itemset Mining (FIM) is no exception. Thus, the need of an efficient incremental mining algorithm arises. We propose the Distributed Incremental Approximate Frequent Itemset Mining (DIAFIM) which is an incremental FIM algorithm and works on the distributed parallel MapReduce environment. The key contribution of this research is devising an incremental mining algorithm that works on the distributed parallel MapReduce environment.

• 기술사
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• 제28권3호
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• pp.121-134
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• 1995

본 논문에서는 생산 환경에서 MAP 네트워크에 접속된 여러 단위제어기기의 운영을 지원하기 위한 네트워크 관리 모듈을 설계하여 공정 모델 시스템에서 시범 운영하였다. 설계된 네트워크 모델의 안정성 해석을 위하여 토큰의 사용권의 공정한 배분과 시스템의 동작이 공정상의 특정한 시간 범위 내에 완료되어야 한다. 따라서 본 논문에서는 네트워크의 부하 파라미터로서 데이타 패킷의 크기와 노드의 수의 변화로 선정하여 이에 따른 네트워크 운영을 위한 토큰 로테이션 시간과 대기 시간의 대응된 변화값을 해석하였다. MAP 네트워크의 운영에서 데이타 패킷의 크기를 10바이트에서 100바이트까지 변화시킬 경우, 이에 대응한 토큰 로테이션 시간과 대기 시간의 변화는 주어진 조건하에서 10msec 이하의 값을 가진다. 따라서 프로그래머블 콘트를러 등의 단위 제어기기가 수십 msec 정도의 응답 하한선을 가지고 있으며 데이타 패킷의 크기는 50바이트를 넘지 않으므로 이의 실시간 처리에 충분히 적용 가능함을 알 수 있다.

• 한국학교수학회논문집
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• 제9권3호
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• pp.385-403
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• 2006

본 연구는 마인드맵, 컨셉트맵 그리고 브이맵을 활용하여 수학학습하는 방법에 대해서 모색한다. 각각의 맵의 특성, 맵의 구조, 맵의 작성방법과 활용가능성 및 의의를 상세히 분석하고 수학교육과 어떻게 활용될 수 있는지 제시한다. 마인드맵은 인간의 사고를 최대한 가능하게 해주는 새로운 학습의 개념으로서 시간을 효과적으로 활용하고 그 학습효과를 최대로 할 수 있으며 컨셉트맵은 학습자들이 학습한 수많은 개념들을 체계적으로 제시할 뿐만 아니라 그들 사이의 관계를 시각적으로 구성하여 제시한다. 마지막으로 브이맵은 학습자들의 살아있는 생생한 지식이 되고 또 다른 탐구를 유도하는 그런 역할을 수행하는데 특히 도움이 되며 탐구를 시작하기 전에 알고자하는 질문을 던짐으로써 시작한다.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
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• pp.270-273
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• 2008

Telematics is a leading IT service where wireless internet service represented by information and mobility is extended to the area of transportations to provide Telematics service. One of the killer-application about Telematics is navigation system. Recently, due to the mass storage conversion, the performance of the terminal and mobile communications technology development, navigation system is also changed. It more and more develops into 3D in a pre-existence 2D map. In the future, it is expected to include the remote sensing map or video map. There is also the characteristic of all the information expressed in frequently a change partially happening. That is, POI(Point Of Interest) which is freshly registered or is deleted is many. In a pre-existence, Map Contents Providers offer the new version map by off-line monthly or quarterly. And a user wastes time and is inconvenient because of updating the total map by the off-line. Thus, in this paper, in order to resolve this, we describe MAUS(Map Air Update Server) for updating only the partial map that was changed

• 환경영향평가
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• 제7권2호
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• pp.27-35
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• 1998

In Korea, the initial installation of GIS requires lots of cost, time, and human efforts. If the accuracy of GIS data does not meet the certain standard for use, the system may not work as expected. So, it needs to be investigated for the accuracy of raw data. However, there is little study for the accuracy of raw data in Korea. Therefore, the purpose of this study is to review the data accuracy of raw data - geologic map, 1:5,000 and 1:25,000 scale topographic map, forest stand map, degree of green naturality(DGN) map, and detailed survey data of DGN map-, which are to be used in Environmental Information System(EIS) in Korea. After this study, some errors in data were surveyed and following conclusions were derived. (1) There is no map data, e. g, wildlife habitat map. (2) Some data are misinterpreted depending on the location in the geologic map. (3) Some data are not updated properly after change of topography in the topographic map or the elevation and location is different depending on the scale.. (4) Some data are not edited properly in the forest stand map, e. g. two attributes in one polygon. (5) DGN classification system does not reflect the characteristic of Korean vegetation community. So, it needs to be refined and restructured.