• Title/Summary/Keyword: IT 연관성

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CASE OF BILATERAL DENTIGEROUS CYSTS TREATED BY MARSUPIALIZATION (양측에서 발생된 함치성 낭종의 치험례)

  • Yoo, Jung-Eun;Choi, Yeong-Chul;Lee, Keung-Ho
    • Journal of the korean academy of Pediatric Dentistry
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    • v.29 no.2
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    • pp.196-203
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    • 2002
  • Most dentigerous cysts are solitary. Bilateral and multiple dentigerous cysts are rare and occur typically in association with a number of syndromes such as Maroteaux-Lamy syndrome, Hunter's syndrome, Basal cell nevus syndrome, Marfan syndrome, cleidocranial dysplasia. The presented case is of bilateral nonsyndromic, dentigerous cysts associated with mandibular right and left first premolars. A marsupialization procedure may be a choice of treatment for a large sized dentigerous cyst rather than an enucleation. The marsupialization procedure is recommended during the age when the erupting force of the teeth is still strong. We can expect the unerupted tooth to erupt normally. Although most of bilateral or multiple dentigerous cysts which are not associated with syndromes are rare, a bilateral dentigerous cyst without syndrome is seen. Therefore, it is wise to explain a possibility of development of new one to patient / parents in advance.

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Analysis of the Location Environment of the Sub-alpine Coniferous Forest in National Parks Using GIS - Focusing on Abies koreana - (GIS를 활용한 국립공원 아고산대 침엽수림의 입지환경 분석 - 구상나무를 대상으로 -)

  • Kim, Tae-Geun;Oh, Jang-Geun
    • Korean Journal of Ecology and Environment
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    • v.49 no.3
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    • pp.236-243
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    • 2016
  • It was a case study to use as a basic data for efficient the preservation and management of subalpine coniferous forest in national parks. It is based on inhabitation condition of 210 individuals of Abies koreana Wilson that was found through local investigation in the sub-alpine zone of Jirisan National Park and Songnisan National Park. It analyzed the effect of the geographical location and topographical features, which are the basics of location environment, on the growth of A. koreana. The variables related to the growth of A. koreana are tree height and diameter at breast height. Topographical features include geographical longitude, altitude above sea level, slope of the mountains, aspect that describes the direction in which a slope faces and topographical wetness index. Topographical features were extracted through GIS spatial analysis. It used canonical correlation analysis to estimate whether the two variables groups have related to each other and how much they are related, if any, and estimated the effect of the geographical and topographical features on the growth structure of A. koreana using multiple regression analysis. The tree height and diameter at breast height that represent the growth structure of A. koreana show greater relation to geographical latitude distribution than topographical feature and the geographical and topographical factors show greater relation to diameter at breast height than tree height. The growth structure's variable and geographical and topographical variable of A. koreana have meaningful relation and the result shows that geographical and topographical variables explain 18.1% of the growth structure. The variables that affect the diameter at breast height of A. koreana are geographical latitude, topographical wetness index, aspect and altitude, which are put in order of statistical significance. The higher the latitude is, the smaller the diameter at breast height. Depending on the topographical feature, it becomes bigger. The variable that affects the tree height is topographical wetness index, which was the only meaningful variable. Overall, the tree height and diameter at breast height that are related to the growth structure of A. koreana are affected by geographical and topographical feature. It showed that the geographical feature affected it the most. Especially the effect of water among the topographical features is expected to be bigger than the other topographical factors. Based on the result, it is expected that geographical and topographical feature is an important factor for the growth structure of A. koreana. Even though it considered only the geographical and topographical features and used spatial analysis data produced by GIS, the research results will be useful for investigating and researching the growth environment of coniferous forest inhabiting in sub-alpine zone of national parks and are expected to be used as basic data for establishing measures to efficiently manage and preserve evergreen needleaf tree such as A. koreana.

The Histologic Type of Lung Cancer in Idiopathic Pulmonary Fibrosis : the Difference According to the Presence of Fibrosis at Cancer Location (특발성 폐섬유화증에서 발생한 폐암의 조직형의 특성 : 폐암 위치의 섬유화 유무에 따른 조직형의 차이)

  • Kwon, Sung-Youn;Kim, Deog-Kyeom;Lee, Suk-Young;Yoo, Chul-Gyu;Lee, Choon-Taek;Kim, Young-Whan;Im, Jung-Gi;Shim, Young-Soo;Han, Sung-Koo
    • Tuberculosis and Respiratory Diseases
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    • v.49 no.4
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    • pp.441-452
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    • 2000
  • Background : It is well known that the prevalence of lung cancer is higher in idiopathic pulmonary fibrosis (IPF) patients than in the general population. This high prevalence is explained by the concept of 'scar carcinoma'. There have been several reports on the prevalence of histologic typo of lung cancer in IPF with conflicting results. Despite of the high smoker rate in almost all previous reports, none considered the smoking history of patients. Therefore we performed a separate studies on fibrosis associated lung cancer and smoking associated lung cancer. The purpose of this study is to investigate the proportion of lung cancer in IPF that is fibrosis associated and to determine the most common histologic type in fibrosis associated lung cancer in IPF. Method : A retrospective review of medical records and radiologic studies was performed for cases of lung cancer with IPF. We investigated smoking history, sequence of diagnosis of lung cancer and IPF, histologic type of lung cancer and the cancer location, especially whether the location is associated with fibrosis. To evaluate the proportion of fibrous associated lung cancer, the lung cancer in IPF were categorized according to the presence of fibrosis at cancer location. Results : Fifty seven patients were subjects for this analysis. Six (11%) cases were diagnosed as lung cancer during follow-up for IPF, and both diseases were diagnosed simultaneously in the others. Ninety four percent of patients were smokers and the average smoking amount was 47.1$\pm$21.9 pack-year. Among the patients with IPF and lung cancer, 42(80.8%) cases were considered as "fibrosis associated". The remainder was "not fibrosis associated" and probably was due to smoking etc. Although the most frequent histologic type was squamous cell carcinoma as a whole, adenocarcinoma was the prominent histologic type in "fibrosis associated lung cancer." Conclusion : Considering the proportion of "fibrosis not associated lung cancer" in the patients with IPF and lung cancer, significant proportion of lung cancer in IPF may not be fibrosis induced. This may influence the distribution of histologic type of lung cancer in IPF.

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A Study on the Validity of Technology Innovation Aid Programs for IT Small and Medium-sized Enterprises: Focusing on the Dynamic Characteristics and Relationship (IT중소기업 기술혁신 지원사업의 타당성 연구: 동태적 특성 및 연관성을 중심으로)

  • Park, Sung-Min;Kim, Heon;Sul, Won-Sik
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.10B
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    • pp.946-961
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    • 2008
  • This study aims to provide guidelines on future policy for restructuring the scheme of aid programs associated with If small and medium-sized enterprises (i.e. SME) in Korea. For this purpose, we investigate an empirical dataset of recent aid programs deployed by Ministry of Information and Communication (i.e. MIC) for the last four years First, it is examined that the programs are practiced in accordance with their own policy objective by comparing matching samples between two groups such as program beneficiary and non-beneficiary companies. Second, positioning transition of programs within a same category is visualized in terms of two business portfolio analysis matrices. Third, an affiliation network matrix of (he programs is newly developed and then we attempt to analyze the programs relationship by the application of multidimensional scaling method to the affiliation network matrix. The empirical dataset is composed of two different kinds of corporate datasets. One is a corporate dataset of 8,994 beneficiary companies that are aided by MIC during the year of '03-'06. The other is also a corporate dataset of 18,354 non-beneficiary companies that have no records of the program supports during the years at all. Particularly, the matching samples of non-beneficiary companies are prepared in order to have comparable corporate age years (i.e. CAY) against beneficiary companies' CAY. Results show that; 1) up-to-date, the programs are properly assigned to IT SME conforming to their own policy objective; 2) however, as the year goes on, the following two distinct positioning transitions are revealed such as (1) both CAY and corporate sales (i.e. SAL) are increased simultaneously, (2) ratio of intangible assets (i.e. RIA) is decreased and ratio of operating gain to revenue (i.e. ROR) is increased. Hence, the role of the programs gets weakened with regard to providing seed money to technology innovation-typed IT SME so that a managerial adjustment of the programs is required consequently; 3) even though the model adequacy is not satisfactory through the analysis of multidimensional scaling method, the relationship of indirect-typed programs can relatively be stronger than that of direct-typed programs.

Trend-based Sequential Pattern Discovery from Time-Series Data (시계열 데이터로부터의 경향성 기반 순차패턴 탐색)

  • 오용생;이동하;남도원;이전영
    • Journal of Intelligence and Information Systems
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    • v.7 no.1
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    • pp.27-45
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    • 2001
  • Sequential discovery from time series data has mainly concerned about events or item sets. Recently, the research has stated to applied to the numerical data. An example is sensor information generated by checking a machine state. The numerical data hardly have the same valuers while making patterns. So, it is important to extract suitable number of pattern features, which can be transformed to events or item sets and be applied to sequential pattern mining tasks. The popular methods to extract the patterns are sliding window and clustering. The results of these methods are sensitive to window sine or clustering parameters; that makes users to apply data mining task repeatedly and to interpret the results. This paper suggests the method to retrieve pattern features making numerical data into vector of an angle and a magnitude. The retrieved pattern features using this method make the result easy to understand and sequential patterns finding fast. We define an inclusion relation among pattern features using angles and magnitudes of vectors. Using this relation, we can fad sequential patterns faster than other methods, which use all data by reducing the data size.

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Relevant Keyword Collection using Click-log (클릭로그를 이용한 연관키워드 수집)

  • Ahn, Kwang-Mo;Seo, Young-Hoon;Heo, Jeong;Lee, Chung-Hee;Jang, Myung-Gil
    • The KIPS Transactions:PartB
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    • v.19B no.2
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    • pp.149-154
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    • 2012
  • The aim of this paper is to collect relevant keywords from clicklog data including user's keywords and URLs accessed using them. Our main hyphothesis is that two or more different keywords may be relevant if users access same URLs using them. Also, they should have higher relationship when the more same URLs are accessed using them. To validate our idea, we collect relevant keywords from clicklog data which is offered by a portal site. As a result, our experiment shows 89.32% precision when we define answer set to only semantically same words, and 99.03% when we define answer set to broader sense. Our approach has merits that it is independent on language and collects relevant words from real world data.

Convergence Study on the Reliability of Public and Private Medical Institutions in Rural Areas -Mainly 65 years old and older- (농촌지역의 분포되어있는 공공의료기관과 민간의료기관에 대한 신뢰도가 의료기관 선택에 미치는 융복합 연구 -65세이상 노인계층을 중심으로-)

  • Moon, Young
    • Journal of Convergence for Information Technology
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    • v.10 no.2
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    • pp.154-159
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    • 2020
  • The purpose of this study is program development for efficient medical institution management and finding comprehensive measures to increase the credibility of medical institutions. For this purpose, a survey on medical service satisfaction was conducted for elderly people aged 65 or older living in four other areas. The results of the analysis were as follows: First, the survey participants had higher confidence in private medical institutions. Second, there was no relationship between the reliability of public and private medical institutions and the selection of medical institutions. Third, the environment of the survey subjects was related to the selection of medical institutions. The credibility of the surveyed public and private medical institutions affects the selection of medical institutions, and the economic power and understanding of the medical institutions also influence the selection of medical institutions.. Therefore, it is suggested that public medical institutions need to improve the satisfaction of medical services in the future, and management efficiency of public medical institutions in addition to private medical institutions is urgently needed.

Motion Adaptive Temporal-Spatial Noise Reduction Scheme with Separated Pre- and Post-Spatial Filter (분리된 전처리 및 후처리 광간영역 필터를 가진 움직임 적응적 시공간영역 잡음 제거 기법)

  • Kim, Sung-Deuk;Lim, Kyoung-Won
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.5
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    • pp.40-47
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    • 2009
  • A motion adaptive video noise reduction scheme is proposed by cascading a temporal filter and a spatial filter. After a noise-robust motion detection is performed with a pre-spatial filter, the strength of the motion adaptive temporal filter is controlled by the amount of temporal movement. In order to fully utilize the temporal correlation of video signal, noisy input image is processed first by the temporal filter, therefore, image details of temporally stationary region are quite well preserved while undesired noises are suppressed. In contrast to the pre-spatial filter used for the robust motion detection, the cascaded post-spatial filter removes the remained noises by considering the strength of the temporal filter and the spatial self-similarity search results obtained from the pre-spatial filter.

Genetic association study of single nucleotide polymorphism in dentistry (단일염기다형성을 이용한 치과 질환 유전체 연구)

  • Kim, Jee-Hwan;Lee, Jae-Hoon
    • The Journal of Korean Academy of Prosthodontics
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    • v.49 no.4
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    • pp.341-345
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    • 2011
  • Genetic association study has been progressed in medicine along with advance in genetic technology. It focused on the individual differences in genotype due to errors occurring during DNA duplication, which can cause vulnerability to specific diseases. Polymorphism defines the varieties in phenotype due to those genetic variations. Polymorphism due to change in one DNA base sequence is called as a Single Nucleotide Polymorphism. In the near future, the evaluation of relative risk to specific disease according to SNP will be essential part of fundamental of medicine for the diagnosis, treatment and prevention. Dental caries and periodontal diseases has been first subject to genetic association study in dentistry and broaden out to other areas like bone formation and resorption. This article presents the current state of genetic association study and its application to dentistry.

Prediction of Hair Owners' Age using Hair Mineral Content and Artificial Intelligence (인공지능과 모발의 필수 미네랄 원소 함량을 이용한 피험자 연령 예측)

  • Park, Jun Hyeon;Ha, Byeong Jo;Park, Sangsoo
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.155-159
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    • 2022
  • After artificial intelligence was trained with the data on the concentration of essential mineral elements in hair, the age was predicted by the concentration of mineral elements in the hair of the subject, and the result was compared with the actual age of the subject, and the correlation was investigated. The total number of hair data was 296, of which 2/3 were used for AI learning and 1/3 was used as the subject data. There was a correlation of 0. 678 between the actual age of the young subjects under the age of 25 and the age predicted by the AI. There was almost no correlation in the middle-aged subjects group, and there was a weak correlation of 0.522 in the elderly subject group. In order to secure the usefulness of artificial intelligence using hair mineral element concentration data, it is necessary to provide a larger number of data to the artificial intelligence.