• International journal of advanced smart convergence
• /
• v.6 no.3
• /
• pp.22-28
• /
• 2017

With the recent development of technologies to manage vast amounts of data, data mining technology has had a major impact on all industries.. Data mining is the process of discovering useful correlations hidden in data, extracting executable information for the future, and using it for decision making. In other words, it is a core process of Knowledge Discovery in data base(KDD) that transforms input data and derives useful information. It extracts information that we did not know until now from a large data base. In the decision tree, c4.5 algorithm was used. In addition, the C4.5 algorithm was used in the decision tree to analyze the difference between frequency and mortality in the region. In this paper, the frequency and mortality of percutaneous coronary intervention for patients with heart disease were divided into regions.

• Proceedings of the Korean Operations and Management Science Society Conference
• /
• 2003.05a
• /
• pp.884-888
• /
• 2003

In this paper, we introduce the hybrid data mining mechanism based in association rule and fuzzy neural networks (FNN). Most of data mining mechanisms are depended in the association rule extraction algorithm. However, the basic association rule-based data mining has not the learning ability. In addition, sequential patterns of association rules could not represent the complicate fuzzy logic. To resolve these problems, we suggest the hybrid mechanism using association rule-based data mining, and fuzzy neural networks. Our hybrid data mining mechanism was consisted of four phases. First, we used general association rule mining mechanism to develop the initial rule-base. Then, in the second phase, we used the fuzzy neural networks to learn the past historical patterns embedded in the database. Third, fuzzy rule extraction algorithm was used to extract the implicit knowledge from the FNN. Fourth, we combine the association knowledge base and fuzzy rules. Our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
• /
• 2003.04a
• /
• pp.101-106
• /
• 2003

본 논문에서는 현재 한국항공우주연구원에서 수신, 저장하고 있는 MODIS 영상자료에 대한 DBMS (DataBase Management System) 구축 및 DB (DataBase) data 입력 S/W 개발 결과에 대해 설명한다. 우선, MODIS 영상자료의 DBMS를 구축하기 위한 DB table를 설계하였고, 이를 근거로 Oracle 9i를 사용하여 MODIS DBMS를 구축하여 운영 중이다. MODIS DBMS에 자동으로 MODIS 영상자료의 DB data들이 입력되도록 하기 위해, 첫 번째로 Visual C++를 사용하여서 MODIS DB table에 대한 DB data를 추출하는 ‘getatt.exe’ S/W를 개발하였고, 두 번째로 Visual Basic의 ADO를 사용하여서 ‘getatt.exe’ S/W로 추출된 DB data를 MODIS DBMS에 입력하는 S/W를 개발을 마무리하였으며, ‘getatt.exe’ S/W와 MODIS DBMS 입력 S/W를 한 개의 S/W로 통합하는 작업이 완료되어, 지금현재 한국항공우주연구원 내에서 정상적으로 MODIS DBMS가 운영 중이다.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.25 no.3B
• /
• pp.423-430
• /
• 2000

Future microcellular systems will require distributed network control. A packet-switched network is suitable for this requirement. The packet reservation multiple access(PRMA) is a Reservation-ALOHA like protocol for wireless terminals to transmit packet speech to a base station. It allows spatially distributed users in cellular systems to transmit packeted voice and data to a common base station using a shared channel. In the existing PRMA, the problem is that the voice packets may collide with the data packets due to simultaneous channel access. the problem may be a major performance degradation factor to a voice and data mixed system. We propose a new PRMA method that integrates voice and data traffic efficiently by resolving the collision problem between data and voice packets. The proposed PRMA method gives a performance improvement than the existing PRAMA method in terms of voice packet dropping probability and data delay characteristic. From analytic results, we can confirm that the proposed PRMA method show a performance improvement than the existing PRMA protocol.

• The KIPS Transactions:PartB
• /
• v.17B no.2
• /
• pp.125-138
• /
• 2010

The purpose of this research is to enhance document recognition system which is essential for developing full-text retrieval system of the document image data stored in the digital library of a public institution. To achieve this purpose, the main tasks of this research are: 1) analyzing the document image data and then developing its image preprocessing technology and document structure analysis one, 2) building its specialized knowledge base consisting of document layout and property, character model and word dictionary, respectively. In addition, developing the management tool of this knowledge base, the document recognition system is able to handle the various types of the document image data. Currently, we developed the prototype system of document recognition which is combined with the specialized knowledge base and the library of document structure analysis, respectively, adapted for the document image data housed in National Archives of Korea. With the results of this research, we plan to build up the test-bed and estimate the performance of document recognition system to maximize the utilization of full-text retrieval system.

• Proceedings of the Korean Society of Medical Physics Conference
• /
• 2002.09a
• /
• pp.146-149
• /
• 2002

The aim of stereotactic radiosurgery(SRS) is to deliver a high dose to a target region and a low dose to critical organ through only one or a few irradiation. To satisfy this aim, optimized irradiating conditions must be searched in the planning. Thus, many mathematical methods such as gradient method, simulated annealing and genetic algorithm had been proposed to find out the conditions automatically. There were some limitations using these methods: the long calculation time, and the difficulty of unique solution due to the different shape of tumor. In this study, optimization protocol using ideal models and data base was proposed. Proposed optimization protocol constitutes two steps. First step was a preliminary work. Some possible ideal geometry shapes, such as sphere, cylinder, cone shape or the combination, were assumed to approximate the real tumor shapes. Optimum variables such as isocenter position or collimator size, were determined so that the high dose region could be shaped to fit ideal models with the arrangement of multiple isocenter. Data base were formed with those results. Second, any shaped real targets were approximated to these models using geometry comparison. Then, optimum variables for ideal geometry were chosen from the data base predetermined, and final parameters were obtained by adjusting these data. Although the results of applying the data base to patients were not superior to the result of optimization in each case, it can be acceptable as a starting point of plan.

• Aerospace Engineering and Technology
• /
• v.8 no.2
• /
• pp.75-82
• /
• 2009

In order to help general users to analyze the KOMPSAT-2 data, an application of sensor modeling to commercial software was explained in this document. The sensor modeling is a basic step to extract the quantity and quality information from KOMPSAT-2 data. First, we introduced the contents and type of ancillary data offered with KOMPSAT-2 PAN image data, and explained how to use it with commercial software. And then, we applied the polynomial-base and refine RFM sensor modeling with ground control points. In the polynomial-base sensor modeling, the accuracy which is average RMSE of check points is highest when the satellite position was calculated by type of 1st order function and the satellite attitude was calculated by type of 1st order function for (Y axis), (Z axis) or constant for (X axis), (Y axis), (Z axis) in perspective center position and satellite attitude parameters. As a result of refine RFM sensor modeling, the accuracy is less than 1 pixel when we applied affine model..

• Proceedings of the Korean Fiber Society Conference
• /
• 2002.04a
• /
• pp.227-230
• /
• 2002

모직물은 소모사의 구조(번수, 연수), 원료의 특성과 직물소재용도에 따른 직물설계 조건이 다양하게 변화 할 수 있기 때문에 이론적으로 실제현장에서의 의류용도에 따라서 적용할 수 있는 배경$^{1}$)이 확립되어 있다. 그러나 합섬직물의 경우 모직물에 비해 직물설계가 단순한 면이 있음에도 불구하고 합섬직물 종류와 의류의 용도에 따른 현업에 적용 가능한 직물설계조건의 이론적 배경 확립이 미흡한 수준이다. (중략)

• Journal of Korean Society for Quality Management
• /
• v.22 no.1
• /
• pp.179-187
• /
• 1994

This study suggests a data base scheme of region statistics whose demand has been rapidly increased as the local self-governing body is introduced in Korea. A program for the region statistics management(registration, reference, modification, deletion) is developed and it can be used by personal computer users.

• 제어로봇시스템학회:학술대회논문집
• /
• 1991.10a
• /
• pp.715-719
• /
• 1991

In manufacturing process, usually 2-dimensional part drawing is used as a basic data. If a designer wants to recognize 2-dimensional drawing and formulate 3-dimensional shape, a proper feature recognition rule is required as a prerequisite step. These rules are converted Into knowledge base, should be ed separately in the recognition program and can be referenced In similar way of database application. In this paper, basic feature recognition rules are addressed in structure type knowledge base, and the application system is formulated which can be operated separately with existing data driven program.