• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.2
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• pp.281-288
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• 2009

In the paper, we try to develop the methodology for updating road networks of large-scale digital maps by using construction drawing data. For the purpose, it is pre-requite step to merge road networks detached in CAD drawing data. As such, tie points are identified in neighboring drawings and used for solving the parameters of 2D conformal transformation between drawings. Then, the merged road network in CAD data is transformed to the coordinate system of digital maps. In the process, IPs in the drawings are considered as control information and 2D affine transformation is selected for coordinate transformation. Through the experiments with real dataset, we can identify that the developed method is valid and generally applicable.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.289-300
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• 2007

The stock return is changed by factors of inside and outside or is changed by factor of market system. But most studies have not considered the changes of stock return distribution when estimate the VaR. Such study may lead us to wrong conclusion. In this paper we calculate the VaR of price-to-earnings ratios by the distribution that have considered the change point and used transformation to satisfy normal distribution.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.214-216
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• 2004

XML 문서에 대한 데이터의 통계 정보는 XML 어플리케이션에 유용하다. 특히 XML 어플리케이션에 대해 RDBMS 테이블 형U로 유도하는 방법 중 cost-based approach를 적용할 때 다양한 Schema 변환 중 어플리케이션에 가장 적합한 것을 선택하는 데 사용한다. 본 논문에서는 정차한 통계 정보를 모으기 위해 Shared type과 변환 과정에 생기는 잠재적인 Shared type에 대해 해결한 X2R System을 개발하였고. 효율적으로 통계를 유지하도록 하였다.

• Tunnel and Underground Space
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• v.3 no.2
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• pp.163-166
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• 1993

To improve the applicability of the Ho-Brown's empirical failure theory to field problems, transformation of failure coefficients was suggested in this study. This method was tested on the published data and good results were obtained. It seemed that this method be more reasonable than traditional method of modifying the coefficients by RMR or Q values.

• The Plant Pathology Journal
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• v.20 no.2
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• pp.158-163
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• 2004

Chlorella is a eukaryotic microalgae which shares metabolic pathways with higher plants. These charac-teristics make chlorella a potential candidate for eukaryotic overexpression systems. Recently, a foreign flounder growth hormone gene was stably introduced and expressed in transformed Chlorella ellipsoidea by using a modified plant transformation vector that contains cauliflower mosaic virus (CaMV) 35S pro-moter and the phleomycin resistant Sh ble gene as a selection marker. In this study, this same vector was modified by incorporating a promoter and a 3' UTR region of the 33kDa peptide gene from a chlorella virus that was isolated in our laboratory. The 33kDa gene promoter was used to replace the 35S promoter and the 3' UTR was introduced to separate the target gene and downstream Sh ble gene. Three different chlorella transformation vectors containing human erythropoietin (EPO) gene were constructed. The mp335EPO vector consists of a promoter from the 33kDa peptide gene, whereas the mp3353EPO vector contains the same promoter from the 33kDa peptide gene and its 3' UTR. The mp35S33pEPO vector contains the 35S promoter and the 3' UTR from the 33 kDa peptide gene. There was no significant difference in the expression levels of EPO protein in chlorella cells transformed with either of three of the transformation vectors. These data indicate that the promoters from the chlorella virus are comparable to the most common CaMV 35S promoter. Furthermore, these data suggest that other promoters from this virus can be used in future construction of chlorella transformation system for higher expression of target proteins.

• The Korean Journal of Applied Statistics
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• v.30 no.2
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• pp.203-213
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• 2017

We study estimation and inference of joint conditional distributions of bivariate longitudinal outcomes using regression models and copulas. We consider a class of time-varying transformation models and combine the two marginal models using Gaussian copulas to estimate the joint models. Our models and estimation method can be applied in many situations where the conditional mean-based models are inadequate. Gaussian copulas combined with time-varying transformation models may allow convenient and easy-to-interpret modeling for the joint conditional distributions for bivariate longitudinal data. We apply our method to an epidemiological study of repeatedly measured bivariate cholesterol data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.2
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• pp.281-287
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• 2010

This study compares transformation algorithms for co-registration of terrestrial laser scan data. Pair-wise transformation which is used for transformation of scan data from more than two different view accumulates errors. ICP algorithm commonly used for co-registration between scan data needs initial geometry information. And it is difficult to co-register simultaneously because of too many control points when managing scan at the same time. Therefore, this study perform global registration technique using matching points. Matching points are extracted automatically from intensity image by SIFT and global registration is performed using GP analysis. There are advantages for operation speed, accuracy, automation in suggested global registration algorithm. Through the result from it, registration algorithms can be developed by considering accuracy and speed.

• Aerospace Engineering and Technology
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• v.10 no.1
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• pp.116-121
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• 2011

The tracking radar systems in NARO space center are used in order to acquire the TSPI (Time, Space, and Position Information) data of the launch vehicle. The tracking radar produce the measurements of tracked targets in the radar-centered coordinate system. When the tracking radar is in the Cartesian/Polar tracking mode, the state vector data is sent in radar-centered Cartesian/Polar coordinate system to RCC. RCC also send the slaving data in Test Range coordinate system to the tracking radar. So, the tracking radars have to transform the slaving data in Test Range coordinate system into in radar-centered coordinate system. In this study, we described the coordinate transformation between radar-centered coordinate system and Test Range coordinated system.

• Journal of Institute of Control, Robotics and Systems
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• v.11 no.4
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• pp.304-313
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• 2005

The robots that will be needed in the near future are human-friendly robots that are able to coexist with humans and support humans effectively. To realize this, robot need to recognize his position and direction for intelligent performance in an unknown environment. And the mobile robots may navigate by means of a number of monitoring systems such as the sonar-sensing system or the visual-sensing system. Notice that in the conventional fusion schemes, the measurement is dependent on the current data sets only. Therefore, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this research, instead of adding more sensors to the system, the temporal sequence of the data sets are stored and utilized for the accurate measurement. As a general approach of sensor fusion, a UT -Based Sensor Fusion(UTSF) scheme using Unscented Transformation(UT) is proposed for either joint or disjoint data structure and applied to the landmark identification for mobile robot navigation. Theoretical basis is illustrated by examples and the effectiveness is proved through the simulations and experiments. The newly proposed, UT-Based UTSF scheme is applied to the navigation of a mobile robot in an unstructured environment as well as structured environment, and its performance is verified by the computer simulation and the experiment.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.7 no.2
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• pp.85-92
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• 1989

The aim of this study is to find out the combination of effective transformed data, applying Remote Sensing techniques, as to the classification and particular objects by transforming the MSS data and TM data of the satellite LANDSAT into several linearly transformed data. Since one of the problems in the processing of the LANDSAT data is the vastness of the data, the Linear Transformation could be a method to perform analysis of those vast data, more efficiently and economically. This method is carried out as follows : (1) offering the simplicity over complex data, (2) selectional processing over redundant data and removing unnecessary data, (3) emphasizing on the object of the study ; by transforming multispectral data through linear calculation and statistical transformation. In this study, the analysis and transformation of the data have been performed by means of Band Ratioing and Principal Component Analysis. As the classificatory consequence, Infrared/RED Ratioing which expands the characterization of green vegetation, has been useful for a distinctive classification among other classes. For the Principal Component Analysis, band 1,2,7 are efficient in the classification of the green vegetation.