• Journal of Korean Society for Geospatial Information Science
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• v.1 no.2 s.2
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• pp.153-158
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• 1993

It is important to establish the transformational relation between scanned image coordinates and digital image coordinates because the coordinate system of digital image is transformed from scanned image coordinate system through scanning work. And, some researches are required in scanning works to correct the deformation that is due to the motion of scanner. In this study, some procedures are applied to determine the optimal calibration model equation which can calibrate the scanner. As a result the optimal calibration model equation for the object scanner is determined The procedure of this study can applied to the calibration of other types of scanner, because the procedures are done with the analysis of geometrical properties rather than the analysis of physical properties.

• Journal of Service Research and Studies
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• v.1 no.1
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• pp.71-79
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• 2011

In recent years, a number of people are going more and more to develope and engage in stock and equity-related information and related industry. a lot of stock expection programs came out, but they are still unstable, especially predictions methods and reality is unfounded. In this paper, we have vast amounts of stock data, shares many of the changes affecting the width of the survey items, and should seek the weights. This is related to existing stock levels and categories and is another way. Results based on a systematic classification of the stock data that would like to introduce objectivity

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.111-117
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• 2008

This study aims to develop a system which is able to monitor and analyze behavior of long span bridge in real time using multiple GPS. Through setting up many GPS at the important points of long span bridge and measuring displacement in real time, over all behavior of bridge could be analyzed. Behavior analyzing system developed in this study is able to digitize and visualize the overall and points displacement of bridge and deal with events actively. Also it is able to calculate statistical data related to analyze behavior through the constructing a database of measuring data.

• Applied Biological Chemistry
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• v.39 no.6
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• pp.419-423
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• 1996

We have established the quantitative method for assay antimutagenic activity from natural products using SOS chromotest technique. Establishment of the method in this study makes it possible to numerize antimutagenic activities from samples in term of the sample amount required for 50% inhibition to mutagenic activity induced by the chemical mutagen under the standard assay condition. Antimutagenic activities of rices from different cultivars as well as other cereals were assayed through this method. The results revealed that antimutagenic activities of mutant cultivar, Suwon 393(Hyangdo) and Sanghaehyanghyulla(Jado), were higher than Chuchung which mainly consumed for steamed rice, and also indicated that antimutagenic activities of cereals, such as job'tear, buckwheat, small red bean, black bean were generally higher than that of brown rice.

• Journal of the Korean Data and Information Science Society
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• v.21 no.6
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• pp.1147-1154
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• 2010

One of the important goals in data mining is to discover and decide the relationships between different variables. Association rules are required for this technique and it find meaningful rules by quantifying the relationship between two items based on association measures such as support, confidence, and lift. In this paper, we presented the evaluation criteria of weighted association rule considering item RFM scores as importance of items. Original RFM technique has been used most widely applied method using customer information to find the most profitable customers. And then we compared general association rule technique with weighted association rule technique through the simulation data.

• Journal of the Korean Data and Information Science Society
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• v.21 no.2
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• pp.263-270
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• 2010

Data mining is the process of sorting through large amounts of data and picking out useful information. An important goal of data mining is to discover, define and determine the relationship between several variables. Association rule mining is an important research topic in data mining. An association rule technique finds the relation among each items in massive volume database. Association rule technique consists of two steps: finding frequent itemsets and then extracting interesting rules from the frequent itemsets. Some interestingness measures have been developed in association rule mining. Interestingness measures are useful in that it shows the causes for pruning uninteresting rules statistically or logically. This paper explores some problems for two interestingness measures, confidence and net confidence, and then propose a decision process for right association rule generation using these interestingness measures.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.2
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• pp.259-264
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• 2009

High level quality control is required for mobile TFT-LCD modules which are frequently used for fine observation. However, quantitative quality control is difficult. Defect inspection using naked eyes makes irregular inspection results. This paper developed desk type defect inspection equipment for mobile TFT-LCD modules using the same inspection criterion with that of naked eyes. From experiments using this equipments, possibilities of standardization in defect inspection equipment for mobile TFT-LCD modules are presented.

• Journal of the Korean Institute of Gas
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• v.9 no.2 s.27
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• pp.28-33
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• 2005

Because chemical industrial facilities deal with large amount of hazardous materials, the damage affect to off-site as well as on-site when an accident occurs. So it is necessary to develop a Risk Representation System for effective control and response to major accidents. In this study a Risk Representation System(S/W) was developed to help analyzing actual risk and to set an alternative that can reduce the analyzed risk by drawing the level of individual plant's risk on a digital map network.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.04a
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• pp.762-765
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• 2016

사용자는 스마트폰의 대중화로 인해 다양하고 편리한 서비스를 쉽게 제공 받을 수 있다. 위치 정보 서비스를 사용하기 위해 GPS 모듈을 이용하는데 이는 전력 소모가 매우 크다. 다수의 GPS 모듈이 있는 그룹 상황에서 그룹의 헤더를 정하고 헤더의 위치 정보 데이터를 공유하는 방법을 이용하여 전력 소모 문제를 해결한다. 이를 위해 클라우드 기반 GPS 데이터 Sharing 시스템을 제안한다. 사전에 사회 관계 그룹을 등록하고 그룹원들의 위치 정보 데이터를 수신하고 거리/방위각/속도를 기준으로 그룹 상황을 감지한다. 그룹 상황 감지를 위해 Depth First Search(DFS) 알고리즘을 사용한다. 생성된 그룹에서 배터리 잔여량이 제일 많은 그룹원을 헤더로 정한다. 헤더의 배터리 잔여량에 따라 위치 정보 데이터 수집 횟수를 적응적으로 적용한다. 시스템을 적용한다면 그룹 상황에서의 그룹원의 전력 감소 효과와 더불어 대중 교통의 위치 데이터 공공화가 된다면 사용자의 위치 정보 데이터 대신 대중 교통의 데이터를 대신할 수 있고 사회 관계 그룹원들 간의 관계를 수치화 할 수 있을 것이다.

• Spatial Information Research
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• v.1 no.1
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• pp.29-38
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• 1993

Each office developped GIS for their own purpose recantly. But many cases, establ ished in some local government off ices, were found not to perform properly. The main problem is to integrate different offices' systems. Also. accurate nation-wide digital basemap database does not exist in Korea. To solve these problems, the suggestions are following: $\circled1$ develop the nation¬wide digital basemap database to increase the effectiveness of GIS, $\circled2$ make the database with standardized format, $\circled3$ educate and train people to be spcialist, $\circled4$ make laws and regulations to share and to integrate database.