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전도성 고분자 센서 어레이를 이용한 휘발성 유기 화합물 가스 인식
이경문,주병수,유준부,황하룡,이병수,이덕동,변형기,허증수 한국센서학회 2002 센서학회지 Vol.11 No.5
휘발성 유기 화합물 가스(Volatile Organic Compounds)를 인식하고 분석하기 위하여 전도성 고분자 센서어레이를 이용한 시스템을 제작하였다. Polypyrrole와 Polyaniline을 화학중합법으로 센서에 전도성고분자막을 형성하였고 이를 통해 VOC 검지용 센서 어레이를 제작하였다. 센서어레이로부터 측정되는 다차원 데이터는 주성분분석법(PCA)과 RBF(Radial Basis Function Network)을 이용하였다. 제안된 시스템으로 VOCs 가스를 인식하는데 있어서 RBF Network이 PCA방식보다 더욱 효율적인 것으로 판단되었다. We fabricated gas recognition system using conducting polymer sensor array for recognizing and analyzing VOCs(Volatile Organic Compounds) gases. The polypyrrole and polyaniline thin film sensors which were made by chemical polymerization were employed to detect VOCs. The multi-dimensional sensor signals obtained from the sensor array were analyzed using PCA(principal component analysis) technique and RBF(radial basis function) Network. Throughout the experimental trails, we confirmed that RBF Network is effective than PCA technique in identifying VOCs.
열공형과 비열공형 피질하 혈관성 치매에서 위험인자의 차이에 관한 비교 연구
배희준,정지향,유경호,나덕렬,김상윤,최경규,양동원,손의주,이상도,김재우,박경원,김응규,이재홍,박미영,한일우,함동석,최문성,하충건,최성혜,이애영,이병철,한설희 대한치매학회 2003 Dementia and Neurocognitive Disorders Vol.2 No.2
Backgrounds and Objectives: Vascular dementia is a group of dementing disoders arising from various stroke syndrome. Among these. subcortical ischemic vascular dementia (SIVD) is regarded as a relatively distinct clinical entity. However, MRI patterns of SIVD are not homogenous. In some patients, lacunes are dominant, and in others, subcortical white matter changes are. This study was designed to compare risk factor profiles between SIVD with and without multiple lacunes. Methods: We divided 47 subjects (22 males, mean age. 68 years) recruited from VADAPET (Multicenter Trial For Evaluation Of The Changes In the PET Images Of Subcortical Vascular Dementia Patient) study into two groups one with more than 5 lacunes in deep gray matter (lacune group) and the other with 5 or less(non-lacune group) Clinical characteristics and laboratory findings of two groups were compared. Results: Nineteen of 47 patients (40%) belonged to the lacune group. The lacune and non-lacune groups d d not differ in the following variables: age, hypertension, diabetes mellitus, hyperlipidemia heart disease, history of stroke or TIA, history of trauma or major surgery, family history of hypertension stroke, or dementia, age at diagnosis of dementia, body mass index, white blood cell count, ESR, CRP, fibrinogen, hemoglobin A1C, total cholesterol. LDL cholesterol creatinine, proteinuria, glucosuria, and microhematuria. However, male sex, smoking alcohol. hemoglobin, and HDL cholesterol were possibly associated more with lacune group SIVD than with non-lacune group (p<0 1) Multivariate analyses revealed that smoking, hemoglobin, and HDL cholesterol were independent predictors of SIVD with multiple lacunes Conclusion: Our study suggests that SIVD with multiple lacunes may be significantly different in smoking habits hemoglobin, and HDL cholesterol from SIVD without multiple lacunes.
하동문(Dong Mun Ha),이종민(Jong Min Lee),김용득(Yong Deak Kim) 한국정보과학회 2003 정보과학회논문지 : 시스템 및 이론 Vol.30 No.11·12
다양한 그림자는 비젼 기반 차량 검출에서 오류를 발생시키는 주요 원인이다. 본 논문에서는 노면 표시 기반 방법과 배경 빼기 및 에지(BS & Edge) 방법이라는 두 가지 방안을 차량 검출과 그림자 제거를 위해 제안하였다. 노변의 지형 지물들로 인해서 발생하는 그림자의 영향이 크게 증가하는 상황에서의 실험을 통해서 96% 이상의 차량 검출 정확도를 나타냄을 확인하였다. 전술한 두 가지 방법을 기반으로 하여, 차량 추적, 차량 계수, 차종 분류, 그리고 속도 측정을 수행하여 각 차로의 부하를 나타내는 데 사용되는 차량 흐름과 관련된 여러 가지 교통 파라미터를 추출하였다. Various shadows are one of main factors that cause errors in vision based vehicle detection. In this paper, two simple methods, land mark based method and BS & Edge method, are proposed for vehicle detection and shadow rejection. In the experiments, the accuracy of vehicle detection is higher than 96%, during which the shadows arisen from roadside buildings grew considerably. Based on these two methods, vehicle counting, tracking, classification, and speed estimation are achieved so that real-time traffic parameters concerning traffic flow can be extracted to describe the load of each lane.
선별등재 제도에 대한 전문가와 제약회사의 인식도 비교분석
하동문(Dong Mun Ha),이수경(Su Kyoung Lee),김대업(Dae Up Kim),정규혁(Kyu Hyuck Chung),이의경(Eui Kyung Lee) 대한약학회 2010 약학회지 Vol.54 No.4
The Positive List System was newly introduced in South Korea as of January 2007. This study aims to survey and compare perception of and attitudes toward the Positive List System in the process of new drug listing that health professionals and pharmaceutical companies have. 50 professionals and 52 companies answered the questionnaire regarding health policy environments, policy decision/enforcement process, policy effects and satisfaction related to introducing the Positive List System. SAS 9.1 was used for statistical analyses. The results showed that participants had the general sympathy with health policy environments for the introduction of the Positive List System into South Korea. However, the response rates of policy decision/enforcement process and effects were negative and these tendencies were more striking in pharmaceutical companies. As for policy satisfaction, participants marked positive responses more than negative ones. It is necessary to remedy and supplement problems with policy decision/enforcement policy and effects revealed in this study and to improve the Positive List System through gathering opinions among groups and organization concerned.
Pathological Study on Interstitial Pneumonia in Korean Native Goats
Ha-Hyun Kim,In-Jin Hwang,Su-Jin Park,Sang-Ik Park,Young-Ju Jeong,Mun-Il Kang,Bang-Hun Hyun,In-Joong Kim,Dong-Kun Yang,Chang-Hee Kwon,Kyoung-Oh Cho 한국실험동물학회 2007 Laboratory Animal Research Vol.23 No.4
The interstitial pneumonia of animal and human can be induced by various factors throughout the aerogenous and hematogenous routes. Although the causative agents of the interstitial pneumonia in the sheep and goats are known to be usually infectious agents, its prevalence in the Korean native goats is not well studied in South Korea. Therefore, pathological examination of interstitial pneumonia whose causative agents were unknown was performed with four neonatal goats obtained from four farms. These goats showed progressive depression and anorexia. At necropsy, diffuse depression of all lung lobules with some patch normal lobules were observed. On the cut surface, visible exudates were not observed in airways except for one case who had mild foamy materials in the bronchioles and bronchi. The pulmonary parenchyma had a meaty appearance. Histologically, alveolar walls were thickened by prominent hyperplasia of type Ⅱ pneumocytes with some macrophages. The lining epithelia of the bronchioles and bronchi were intact. From these results, these cases were diagnosed as interstitial pneumonia in the Korean native goats. Since many infectious agents cause interstitial pneumonia with the infiltration of lymphoid cells into alveolar wall and peribronchial regions, the findings observed in the present cases suggest the possibility that these pulmonary lesions may not be caused by infectious agents. Therefore, further studies will need to find out the precise causative agents from the lung lesions in the affected goats.
Dong-Joong Kang,Jong-Eun Ha,Mun-Ho Jeong 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.5
This paper proposes a method to detect calibration patterns for accurate camera calibration under complicated backgrounds and uneven lighting conditions of industrial fields. Required to measure object dimensions, the preprocessing of camera calibration must be able to extract calibration points from a calibration pattern. However, industrial fields for visual inspection rarely provide the proper lighting conditions for camera calibration of a measurement system. In this paper, a probabilistic criterion is proposed to detect a local set of calibration points, which would guide the extraction of other calibration points in a cluttered background under irregular lighting conditions. If only a local part of the calibration pattern can be seen, input data can be extracted for camera calibration. In an experiment using real images, we verified that the method can be applied to camera calibration for poor quality images obtained under uneven illumination and cluttered background.