• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.706-709
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• 2006

Cancer is one of the major causes of death; however, the survival rate can be increased if discovered at an early stage for timely treatment. According to the statistics of the World Health Organization of 2002, breast cancer was the most prevalent cancer for all cancers occurring in women worldwide, and it account for 16.8% of entire cancers inflicting Korean women today. In order to classify the type of breast cancer whether it is benign or malignant, this study was conducted with the use of the discriminant analysis and the decision tree of data mining with the breast cancer data disclosed on the web. The discriminant analysis is a statistical method to seek certain discriminant criteria and discriminant function to separate the population groups on the basis of observation values obtained from two or more population groups, and use the values obtained to allow the existing observation value to the population group thereto. The decision tree analyzes the record of data collected in the part to show it with the pattern existing in between them, namely, the combination of attribute for the characteristics of each class and make the classification model tree. Through this type of analysis, it may obtain the systematic information on the factors that cause the breast cancer in advance and prevent the risk of recurrence after the surgery.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2013년도 춘계학술발표대회
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• pp.898-899
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• 2013

There are numerous approaches to improve the performances of database systems. The most efficient ones are considered to be implementing an effective database indexing technique. This must guarantee the balance between the memory, storage resources and processor of the database server according to the type, structure, the physical organization and the cardinality of data, the type of queries and the number of competing transactions. The challenge is to find an appropriate index type that would suite these requirements. In this paper, we provide an overview of the most used database indexing techniques such as B-tree index and Bitmap index, present an analysis of these techniques and discuss their limitations.

• Journal of Information Processing Systems
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• 제12권2호
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• pp.263-274
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• 2016

The exceptional development of electronic device technology, the miniaturization of mobile devices, and the development of telecommunication technology has made it possible to monitor human biometric data anywhere and anytime by using different types of wearable or embedded sensors. In daily life, mobile devices can collect wireless body area network (WBAN) data, and the co-collected location data is also important for disease analysis. In order to efficiently analyze WBAN data, including location information and support medical analysis services, we propose a geohash-based spatial index method for a location-aware WBAN data monitoring system on the NoSQL database system, which uses an R-tree-based global tree to organize the real-time location data of a patient and a B-tree-based local tree to manage historical data. This type of spatial index method is a support cloud-based location-aware WBAN data monitoring system. In order to evaluate the proposed method, we built a system that can support a JavaScript Object Notation (JSON) and Binary JSON (BSON) document data on mobile gateway devices. The proposed spatial index method can efficiently process location-based queries for medical signal monitoring. In order to evaluate our index method, we simulated a small system on MongoDB with our proposed index method, which is a document-based NoSQL database system, and evaluated its performance.

• 한국정밀공학회지
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• 제10권3호
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• pp.175-181
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• 1993

In this paper, a practical method to generate task strategies applicable to chamferless and high-precision assembly, is proposed. The difficulties in devising reliable assembly strategies result from various forms of uncertainty such as imperfect knowledge on the parts being assembled and functional limitations of the assembly devices. In approach to cope with these problems, the robot is provided with the capability of learning the corrective motion in response to the force signal trrough iterative task execution. The strategy is realized by adopting a learning algorithm and represented in a binary tree type database. To verify the effectiveness of the proposed algorithm, a series of simulations and experiments are carried out under assimilated real production environments. The results show that the sensory signal-to-robot action mapping can be acquired effectively and, consequently, the chamferless assembly can be performed successfully.

• 대한의생명과학회지
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• 제10권4호
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• pp.485-493
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• 2004

In the current field of Medical Informatics, the information increases, and changes fast, so we can access the various data types which are ranged from text to image type. A small number of technician digitizes these data to establish database, but it is needed a lot of money and time. Therefore digitization by many end-users confronting data and establishment of searching database is needed to manage increasing information effectively. New data and information are taken fast to provide the quality of care, diagnosis which is the basic work in the medicine. And also It is needed the medical database for purpose of private study and novice education, which is tool to make various data become knowledge. However, current medical database is used and developed only for the purpose of hospital work management. In this study, using text input, file import and object images are digitized to establish database by people who are worked at the medicine field but can not expertise to program. Data are hierarchically constructed and then knowledge is established using a tree type database establishment method. Consequently, we can get data fast and exactly through search, apply it to study as subject-oriented classification, apply it to diagnosis as time-depended reflection of data, and apply it to education and precaution through function of publishing questions and reusability of data.

• 산업경영시스템학회지
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• 제25권5호
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• pp.46-52
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• 2002

Today's database system needs to collect huge amount of questionnaire that results from development of the information technology by the internet, so it has to be administrable. However, there are many difficulties concerned with finding analytic data or useful information in the high capacity-database. Data mining can solve these problems and utilize the database. Questionnaire analysis that uses data mining has drawn relevant patterns that did not look or was tended to overlook before. These patterns can be applied by a new business rule. The purpose of this research is to analyze the questionnaire results and to present the result that can help to make decision easily with data mining. Recognition and analysis about these techniques of data mining show suitable type of questionnaire survey. This research focus on the form of present composition and the model of suitable questionnaire to analyze the type of it. Also, the comparison between the actual questionnaire result and the conventional statistical analysis is examined.

• 한국환경복원기술학회지
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• 제2권1호
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• pp.48-57
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• 1999

This study was aimed to establish biotop unit of the mixed rural city for the method and process of the biotop mapping system. Survey site was Maejuri of Seunghwan(158ha), Gisanri of Mokchon(132ha) and Namkwanri, Pungsemeon(214ha). So the main process was divided by 4 schemes such as Biosphere, Geosphere, Antrosphere and Evaluation. Also the GIS(geographic information system) was used to make the database of the biotop and biotop complex, analyze the cross-combinations and analyze the characters of the biotop. Biotop mapping system had 5 steps which were proceeded with research goals, constructing the spatial database and attribute database, classifying the 3 types of biotop such as tree/shrub biotop, grass biotop and wetland biotop, cross-analyzing 3 biotop types with land use, habitat characters, relief characters and danger/disturbance elements and evaluating the 3 types of biotop. The results of applicating the biotop mapping system on the research site as followings : The distributions of the land uses in Maejuri, Seunghwan eup in Chonan city were recorded by forest(29.8%), orchard(14.1%) and landscaping around building site(9.0%). Gisanri, Mokchonmeon were composed of forest(64.5%), farm(12.8%) and Namkwanri, Pungsemeon were concentrated rice field(39.6%), dwell district(22.4%). The Tree/Shrub biotop type was reclassed by the forest type, natural and artificial decidous type with natural coniferous. The Grass biotop type was reclassed by the wild grassland type, garden type and peddy field with wild grassland. The distributions of the wet land were pointed high at the wet land type with reed marsh and edge vegetation around wet land in reservoir and river. The evaluation of the mapped bitopes was completed to the following aspect, "amenity" and "environmental education". A high value of 7.13%(1 class) was shown Maejuri, Seunghwan eup. The regions which were studied synthetically are divided to three parts ; the area where have nature and art mixed(Seunghwan), the area which is more artificial because people inhabit there for a long time(Pungsemeon) and the area that ecological environment is threatened by development pressure(Mokchonmeon). Therefore, ecological restoration plan which depends on specific property of the regions should be established. Also the interdisplinary researches were needed to develop the BMS(Biotop Mapping System) in Korea because of the differences with Germany, England's ecological habitat conditions.

• 한국컴퓨터정보학회논문지
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• 제9권4호
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• pp.5-12
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• 2004

XML과 데이터베이스간의 자료 변환의 원리는 XML과 데이터베이스 간 매칭의 원리로 이루어진다. SQL Server의 데이터에 접근하기 위한 방법은 URL에 SQL 쿼리를 지정하는 방법과 template 파일을 이용하는 방법이 있다. MS-SQL 서버는 OpenXML 기능을 이용하여 기존의 관계형 데이터베이스에 대해 SQL 쿼리를 실행한 결과를 XML 문서로 변환한다. 즉, OpenXML은 노드 트리를 생성한 후에 XML 문서의 로우셋 데이터를 반환하고, XML 데이터를 관계형 형식으로 얻게 한다. XML 데이터를 데이터베이스 데이터로 삽입하기 위해서는 sp_xml_preparedocument 프로시져를 사용하여, XML 문서를 파싱해 데이터를 추출한 후. 그 문서의 노드 구조를 메모리의 트리 구조로 매핑해서 데이터베이스 테이블에 저장하게 된다. 결국 XML과 데이터베이스간의 자료 변환의 원리는 XML과 데이터베이스간 매칭의 원리로 이루어진다. 본 논문에서는 매핑 원리를 제시한 후 SQL Server의 지원하에 두 자료간의 변환을 구현해 보임으로서 자료의 확장성과 효율성 및 다양한 효과를 가져올 수 있음을 제시하고 있다.

• 한국콘텐츠학회논문지
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• 제10권4호
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• pp.84-90
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• 2010

데이터베이스 시스템의 응용분야가 데이터웨어하우징에서 전자상거래에 이르기까지 광범위해지면서 데이터베이스 시스템이 대형화되었다. 이로 인해 데이터베이스 시스템의 성능 향상을 위한 튜닝이 중요한 논점이 되었다. 데이터베이스 시스템의 튜닝은 워크로드 특성을 고려하여 수행할 필요가 있다. 그러나 복합적인 데이터베이스 환경에서 워크로드를 식별하기는 어려우므로 자동적인 식별 방법이 요구된다. 본 논문에서는 데이터베이스 워크로드를 자동적으로 식별하는 SVM 워크로드 분류기를 제안한다. TPC-C와 TPC-W 성능 평가에서 자원할당 파라미터 변경에 따른 워크로드 데이터를 수집하여 SVM을 통해 분류 한다. SVM의 커널별 커널 파라미터와 오류 허용 임계치 값인 C의 조정을 통하여 최적의 SVM 워크로드 분류기를 선택한다. 제안한 SVM 워크로드 분류기와 Decision Tree, Naive Bayes, Multilayer Perceptron, K-NN 분류기의 분류 성능을 비교한 결과, SVM 워크로드 분류기가 다른 기계 학습 분류기보다 9% 이상 향상된 분류 성능을 보였다.

• 한국조경학회지
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• 제29권2호
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• pp.68-76
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• 2001

The purpose of this study is to computerize street tree management using a CAD program in order to manage the drawing record of street trees systematically and concurrently. The configuration of this program is composed of Reference Data, Data Inquiry, and Cost Assessment. The Reference Data includes characteristics of trees, monthly managements records, damage by blight and insects and usage of pesticides. The Data Inquiry includes an individual search of the tree index, simple searches and multiple searches. The Cost Assessment includes two main components, the data input with labor cost, manure ocst and pesticide cost and the assesment of management cost for prevention of blight and insects, pruning and fertilization. The results of this study are as follows: 1) When there are practices such as transplanting and removing of street trees it is immediately updated with the various situation. By creating an in progress a tree management system, up to the date information can be given to the manager for decision making. 2) To identify individual tree at the site or in drawing, the street name and numbers were used instead of coordinates. Tree tags are attached to the street trees individually. It can make DB management simple and easy. 3) By doing simple or multiple search with constructed DB, data can be provided quickly. 4) The result of this type of search are useful in the assessment of management cost very useful in regards to items such as the pruning, pesticides scattering and fertilization. 5) By using the AutoCAD software and existing PC without purchasing new equipment, the cost of system implementation can be minimized.