일본의 2002년 지속적 농업생산방식에 관한 실태조사

정용규 두레마을 친환경농업연구원 2004 친환경농업연구 Vol.6 No.2

Correlation Analysis of the Frequency and Death Rates in Arterial Intervention using C4.5

정용규,정성준,차병헌 한국인터넷방송통신학회 2017 Journal of Advanced Smart Convergence Vol.6 No.3

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

Recommendation of Optimal Treatment Method for Heart Disease using EM Clustering Technique

정용규,김희완 국제문화기술진흥원 2017 International Journal of Advanced Culture Technolo Vol.5 No.3

This data mining technique was used to extract useful information from percutaneous coronary intervention data obtained from the US public data homepage. The experiment was performed by extracting data on the area, frequency of operation, and the number of deaths. It led us to finding of meaningful correlations, patterns, and trends using various algorithms, pattern techniques, and statistical techniques. In this paper, information is obtained through efficient decision tree and cluster analysis in predicting the incidence of percutaneous coronary intervention and mortality. In the cluster analysis, EM algorithm was used to evaluate the suitability of the algorithm for each situation based on performance tests and verification of results. In the cluster analysis, the experimental data were classified using the EM algorithm, and we evaluated which models are more effective in comparing functions. Using data mining technique, it was identified which areas had effective treatment techniques and which areas were vulnerable, and we can predict the frequency and mortality of percutaneous coronary intervention for heart disease.

남한과 일본의 임연군란 비교 연구

정용규,김종원 한국생태학회 1998 Journal of Ecology and Environment Vol.21 No.1

A comparative analysis on mantle communities in South Korea and Japan was carried out. The study was accomplished by using syntaxa and hierarchical system of mantle communities in South Korea and Japan through Zurich-Montpellier School's method, and also achieved comparison on syntaxonomy, synecology, syndynamics and syngeography between two countries. Mantle communities in South Korea and Japan were defined to the Rosetea multilorae representing mantle vegetation in Northeast Asia. Mantle communities in Japan showed much diverse than those in South Korea. Mantle communities in South Korea and Japan considerably corresponded between the two. Results of the current study will make possible to accumulate qualitative $\bullet$quantitative informations on mantle communities in Northeast Asia. And the subsidiary knowledge from this study will provide practical data on comparative analysis about whole mantle communities in Northeast Asia.

한국과 일본의 순비기나무군강

정용규,Jung, Yong-Kyoo 한국생태학회 2000 Journal of Ecology and Environment Vol.23 No.5

A comparative analysis on the Viticetea rotundifoliae (coastal dune shrub vegetation) in South Korea and Japan was carried out. 569 releves from the most typical and homogeneous stands of the coastal dunes in South Korea and Japan were used. This study was accomplished by using the syntaxa and hierarchical system of the Viticetea rotundifoliae in South Korea and Japan according to the Zurich-Montpellier School's method, and syntaxonomy, synecology, syndynamics and syngeography between two countries were also compared with. Coastal dune shrub vegetation in South Korea and Japan were defined to the Viticetea rotundifoliae representing southern type coastal shrub in Northeast Asia. Coastal dune shrub communities of the Viticetea rotundifoliae in South Korea and Japan are considerably corresponded between the two, and contain their own characteristic syntaxa. Coastal dune shrub communities of the Viticetea rotundifoliae in Japan showed much diversification in syntaxa and species composition than those in South Korea.

해당화군목의 군락분류학적 재고

정용규,김원,Jung, Yong-Kyoo,Kim, Woen 한국생태학회 2001 Journal of Ecology and Environment Vol.24 No.5

A phytosociological study on the hierarchical classification system of the Rosetalia rugosae, developed at the coastal dunes in the cool-temperate region of Northeast Asia, was carried out. Currently, the Rosetalia rugosae is subordinated to the Rosetea multiflorae which is the highest rank of the mantle vegetation in Northeast Asia, however its hierarchical system is somewhat ambiguous. This study was accomplished by using the syntaxa and hierarchical system of the Rosetalia rugosae and Rosetea multiflorae, and by also using 197 homogeneous relevns of the Rosetalia rugosae in South Korea and Japan in terms of the Zbrich-Montpellier School. For the hierarchical analysis of the Rosetalia rugosae, the constancy, the frequency and the net contribution degree were evaluated. It is estimated that the Rosetalia rugosae and the Rosetea multiflorae are hardly related to reciprocally. Thus, the subordination of the Rosetalia rugosae to the Rosetea multiflorae is comparatively irrational. Accordingly, the syntaxonomical hierarchy of the Rosetalia rugosae must be reconsidered that is correspond to the Viticetea rotundifoliae of the warm-temperate coastal dune shrub vegetation.

Similarity Analysis of Hospitalization using Crowding Distance

정용규,최영진,차병헌 한국인터넷방송통신학회 2016 Journal of Advanced Smart Convergence Vol.5 No.2

With the growing use of big data and data mining, it serves to understand how such techniques can be used to understand various relationships in the healthcare field. This study uses hierarchical methods of data analysis to explore similarities in hospitalization across several New York state counties. The study utilized methods of measuring crowding distance of data for age-specific hospitalization period. Crowding distance is defined as the longest distance, or least similarity, between urban cities. It is expected that the city of Clinton have the greatest distance, while Albany the other cities are closer because they are connected by the shortest distance to each step. Similarities were stronger across hospital stays categorized by age. Hierarchical clustering can be applied to predict the similarity of data across the 10 cities of hospitalization with the measurement of crowding distance. In order to enhance the performance of hierarchical clustering, comparison can be made across congestion distance when crowding distance is applied first through the application of converting text to an attribute vector. Measurements of similarity between two objects are dependent on the measurement method used in clustering but is distinguished from the similarity of the distance; where the smaller the distance value the more similar two things are to one other. By applying this specific technique, it is found that the distance between crowding is reduced consistently in relationship to similarity between the data increases to enhance the performance of the experiments through the application of special techniques. Furthermore, through the similarity by city hospitalization period, when the construction of hospital wards in cities, by referring to results of experiments, or predict possible will land to the extent of the size of the hospital facilities hospital stay is expected to be useful in efficiently managing the patient in a similar area.

영상분할을 위한 혼합 가우시안 함수 임계 값 결정

정용규,최규석,허고은 한국인터넷방송통신학회 2009 한국인터넷방송통신학회 논문지 Vol.9 No.5

영상분할의 대부분의 방법들은 각 화소에서 관측되는 특징벡터로 표현하며 이들에 대하여 적절한 확률모델을 가정하게 된다. 이들 확률 모델을 결정하는 파라미터들을 통계적 방법으로 추정하여 이용하거나 각 특징 벡터간의 유사 도를 기반으로 하는 군집 알고리즘을 사용하여 분할을 수행하는 방법들을 이용한다. 이의 대표적인 방법인 EM알고리즘은 불완전한 데이터에서 미지의 파라미터에 대한 최대 우도를 계산하는 경우나 사후 확률 분포의 최대 값을 구하는 문제 등의 응용 분야가 매우 다양하지만 몇 가지의 구조적 문제점을 가지고 있다. 먼저 추정량의 성능이 시작점에 크게 의존한다는 것이며 따라서 우도 함수가 국부적 최대 값에 수렴한다는 것이다. 이러한 문제점을 해결하기 위하여 영상의 모든 레벨 값을 중심으로 형성된 가우시안 함수와 원 영상의 히스토그램을 혼합하여 영상의 새로운 히스토그램을 통해 임계 값을 설정하는 최적화된 영상분할 기법을 제시한다. 제안된 알고리즘은 MFC를 통해 구현하였으며 영상을 임계 값의 개수에 따라 다양하게 나누어 보았을 때 에지부분이 선명하게 나타나며 세밀하고 정확한 영상으로 분할됨을 확인할 수 있다.

연관규칙을 활용한 상품 구매 패턴분석에 관한 연구

정용규,박정권,이정찬,최은영,Jung, Yong Gyu,Park, Jeong Kwon,Lee, Jeong Chan,Choi, Eun Young 서비스사이언스학회 2012 서비스연구 Vol.2 No.1

It is growing in size of database in companies. This caused to develope data mining techniques to predictive information from the large database. Costs and other effects can give variety of sales exploding through the analysis of the differences. Analysis of the various classification techniques, various angle can be analyzed point of view of the area information. The analysis of rules and patterns associated with a large amount of useful information from the database can be analyzed effectively. Goods store were analyzed using association rules, one of the data mining analysis techniques. Through this type of existing products according to analyze customer buying patterns, data mining has been studied to establish strategic marketing analysis.

원격의료 규제개선의 방향

정용규 대한전자공학회 2016 전자공학회지 Vol.43 No.2