食堂環境이 人體에 미치는 影響에 關한 硏究

李良元,李炳甲 中央醫學社 1972 中央醫學 Vol.22 No.2

An experimental study of carbon monoxide concentration in air of the restaurants(total 50) and carboxyhemoglobin saturation of workers(512) who were working in the restaurants was conducted by the staffs of the Dept. of Preventive Medicine from November 1970 to December 1971. Carbon monoxide concentration in air was measured with Kitagawa CO detecting tube and carboxyhemoglobin saturation in the blood of workers was measured by The expired air analysis technique following Dr. Breysse and Gabay. Each worker was asked to inhale and exhale deeply prior to commencement of the test. They were then requested to inhale and hold their breath for approximately 20 seconds after which they were instructed to exhale "normally" then to blow the remainder of the breath into a balloon. This expired air was then immediately examined with the Kitagawa tube and carboxyhemoglobin saturation was calculated from the following regression relationship: COHb%=0.5+(CO ppm/5) The findings and results obtained were summarized below: 1. The mean CO concentration in air of restaurants of Class A, where only propane gas was used for fuel, was less than 50 ppm and the mean COHb saturation in the blood of workers was 7.5% in summer and 8.1% in winter. 2. The minimum concentration of CO in air of the hall of Class B restaurants where used gas was 96.5 ppm during summer and maximum concentration was 180.3 ppm in the kitchen during winter. And the COHb saturation was 12.5-17.1% which could initiate the slight CO poisoning. 3. In the restaurants of Class A where charcoal was used for fuel, the air contained 83.5-144.8 ppm of carbon monoxide and the COHb saturation in the blood of workers was 11. 1-15.4% which could cause slight symptoms of CO poisoning. 4. Mean concentration of CO_ in the B or C graded restaurants where charcoal was used, was 265 ppm and the COHb saturation was as high as 20% which could cause moderate CO poisoning to the workers. 5. Even in the summer, so called wine shop where coal was used for fuel contained more than 124.3 ppm of CO and in the winter it contained 221.5 ppm. Among them we could find some contained as much as 350 ppm of carbon monoxide in air. The mean COHb saturation in the blood was 21.4% which could cause moderate symptoms of CO poisoning. 6. Highly significant correlation was found between the COHb saturation and the concentration of CO in air of restaurants.

분자생물학적 방법을 이용한 피부사상균의 동정 및 진단시스템의 구축(초)

이양원 대한피부과학회 2010 초록집 Vol.48 No.10

손발톱진균증의 치료

이양원 대한의사협회 2019 대한의사협회지 Vol.62 No.7

Onychomycosis is a fungal nail infection caused by various fungal species, including dermatophytes, non-dermatophytes, and yeast. It is one of most bothersome nail problems, because it may cause permanent deformity of the nail, local pain, paresthesia, and difficulties performing activities of daily living and engaging in social interactions. Additionally, the treatment of onychomycosis is considered to be challenging because of the long duration of treatment, high recurrence and treatment failure rates, and drug interactions. In this article, we review the prognostic factors for onychomycosis treatment, the treatment options that have been approved, and off-label therapies and devices. Furthermore, we describe preventive therapy for recurrence and emerging methods to achieve a high cure rate. For successful treatment of onychomycosis, the risk factors should be clarified according to the patient’s status and the clinical characteristics of onychomycosis. Recently, combinations of various treatment options, such as systemic therapy with simultaneous topical antifungal agents and boost therapy, have been reported as effective treatments of onychomycosis. In addition, laser therapy, photodynamic therapy, and plasma therapy have been proposed as emerging curative options. Providing patient-specific treatment based on an understanding of these treatments plays a pivotal role in achieving better treatment results. This article updated the treatment options for onychomycosis to make proper plans and achieve better results.

Visualizing Geographical Contexts in Social Networks

이양원,김형주 대한공간정보학회 2006 Spatial Information Research Vol.14 No.4

We propose a method for geographically enhanced representation of social networks and implement a Web-based 3D visualization of geographical contexts in social networks. A renovated social network graph is illustrated by using two key components: (i) GWCMs (geographically weighted centrality measures) that reflect the differences in interaction intensity and spatial proximity among nodes and (ii) MSNG (map-integrated social network graph) that incorporates the GWCMs and the geographically referenced arrangement of nodes on a choroplethic map. For the integrated 3D visualization of the renovated social network graph, we employ X3D (Extensible 3D), a standard 3D authoring tool for the Web. An experimental case study of regional R&D collaboration provides a visual clue to geographical contexts in social networks including how the social centralization relates to spatial centralization. 이 논문에서는 지리적 표현이 보강된 사회네트워크 모형을 제시하고, 이 모형을 통해 사회네트워크의 지리적 맥락을 시각화하는 3D 웹서비스를 구현한다. 이 연구에서 제안하는 사회네트워크 그래프 개선의 핵심요소는 (i) 네트워크 노드들의 상호작용 강도 및 공간적 인접성이 반영된 ‘지리적 가중치가 부여된 중심화 지수’그리고 (ii) 이러한 중심화 지수를 3차원 심볼을 이용하여 표현함과 동시에 네트워크 노드들을 단계 구분도와 중첩하여 시각화하는‘지도와 결합된 사회네트워크 그래프’이다. 개선된 사회네트워크 그래프는 X3D (Extensible 3D)를 이용하여 구현하였으며, 시도간 R&D 협력의 사례분석을 통해 그 적용가능성이 확인되었다. 이 논문에서 제시하는 방법론은 사회네트워크에 내재하는 공간적 집중화의 경향 등 기존의 네트워크 분석에서 간과되었던 사회네트워크의 지리적 맥락에 대한 시각적 단서를 제공한다.

피부 외과술에서의 항생제와 멸균기법(초)

이양원 대한피부과학회 2010 초록집 Vol.48 No.10

CONDENSATION 알고리즘을 이용한 입자필터 기반 동작 인식 연구

이양원,Lee, Yang-Weon 한국정보통신학회 2007 한국정보통신학회논문지 Vol.11 No.3

연속되는 이미지 중에서 인간의 동작을 인식하는 것은 인간과 컴퓨터의 상호 작용에서 매우 중요하고 도전할 분야이다. 본 논문에서는 CONDENSATION 알고리즘을 이용하여 입자 필터(particle filter)에 기반한 동작 인식 알고리즘을 제안한다. 입자 필터는 조건 확률 전파 모델(Conditional Density Propagation)인 베이시안(Bayesian) 추정 규칙을 적용하는 추적구조를 갖고 있기 때문에 일반적으로 기존 추적 알고리즘보다 뛰어난 성능을 갖는 경향이 있다. 본 논문에서는 알고리즘의 성능 평가를 위해서 두 개의 동작 모델을 가정하였고, 영상에 대한 전처리를 위해서는 MATLAB를 이용하였으며 입자필터는 고속 처리를 위하여 C++로 구현하였다. 두 개의 동작 실험 결과를 통해, 동작 인식 입자 필터가 근접한 동작 환경 속에서 강인한 추적 성능을 나타냄을 확인하였다. The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle filter and apply the MAILAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment.

조각난 동심

이양원 샘터사 1992 월간 샘터 Vol.23 No.11

효율적 패턴 인식을 위한 퍼지 규칙의 자동 생성

이양원,최형일 한국지능시스템학회 1993 한국지능시스템학회논문지 Vol.3 No.4

무선 LAN 통신 기술 및 표준화 기술 동향 분석 ( An Analysis of the current status of Wireless LAN Communication Technique and Standardization )

이양원 한국통신학회 1997 한국통신학회 학술대회논문집 Vol.- No.-

Particle Filter를 이용한 제스처 인식 연구

이양원,김철원,Lee, Yang-Weon,Kim, Chul-Won 한국정보통신학회 2006 한국정보통신학회논문지 Vol.10 No.11

The recognition of human gestures in image sequences is an important and challenging problem that enables a host of human-computer interaction applications. This paper describes a gesture recognition algorithm based on the particle filters, namely CONDENSATION. The particle filter is more efficient than any other tracking algorithm because the tracking mechanism follows Bayesian estimation rule of conditional probability propagation. We used two models for the evaluation of particle Inter and apply the MATLAB for the preprocessing of the image sequence. But we implement the particle filter using the C++ to get the high speed processing. In the experimental results, it is demonstrated that the proposed algorithm prove to be robust in the cluttered environment. 연속되는 이미지 중에서 인간의 동작을 인식하는 것은 인간과 컴퓨터 의 상호 작용에서 매우 중요하고 도전할 분야이다. 본 논문에서는 CONDENSATION 알고리즘을 이용하여 입자 필터(particle filter)에 기반한 동작 인식 알고리즘을 제안한다. 입자 필터는 조건 확률 전파 모델(Conditional Density Propagation)인 베이시안(Bayesian) 추정 규칙을 적용하는 추적구조를 갖고 있기 때문에 다른 어떤 종류의 추적 알고리즘보다 뛰어난 성능을 보인다. 본 논문에서는 알고리즘의 성능평가를 위해서 두 개의 동작 모델을 가정하였고, 영상에 대한 전처리를 위해서는 MATLAB를 이용하였으며 입자필터는 고속 처리를 위하여 C++로 구현하였다. 두 개의 동작 실험 결과를 통해, 동작 인식 입자 필터가 복잡한 환경 속에서 강인한 추적 성능을 나타냄을 확인하였다.