• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.12
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• pp.5893-5900
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• 2012

It is very critical to promptly maintain airway of cardiac arrest cases or serious traumatic cases. The purpose of this study is to compare intubation rate, successful rate and pre-/post-education self-confidence between laryngeal tube (LTS) and proseal laryngeal mask (PLMA), so that it may contribute to improving the ability of 119 emergency team - a pivotal role in pre-hospitalization process - to carry out advanced airway management. In order to achieve the purpose, total 60 paramedics (Class I) who worked for incumbent 119 emergency team were asked to join a practical experiment and were also divided into two groups (LTS group: 30 people, PLMA group: 30 people). In details, they were all asked to take 3 sessions of practice (5 minutes per session) using dummy model to quantitatively measure the time and success/failure of intubation and the change of their self-confidence. As a result, it was found that there were statistically significant differences in the time of intubation between LTS and PLMA group (p=.000), but there was no significant difference in the rate of successful intubation between these two groups, and self-confidence of two groups tended to significantly increase after experiment (p=.000). Conclusively, if it is necessary to promptly apply intubation to traumatic cases with immobilized cervical vertebral and lingual edema, LTS can be useful as an effective means of intubation. And it is expected that continuing intubation training using LTS will improve the ability of emergency team to perform advanced airway management for traumatic cases.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.11
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• pp.1946-1958
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• 2011

Wireless Sensor Network (WSN) is made up of a number of sensor nodes and base stations. Traffic flow in WSN appears self-similar due to its data delivery process, and this impacts queue length greatly and makes queuing delay worse. Active queue management can be designed to improve QoS performance for WSN. In this paper, we propose self-similar traffic rate estimating algorithm named Power-Law Moving Averaging (PLMA) to regulate packet marking probability. This algorithm improves the availability of the rate estimation algorithm under the self-similar traffic condition. Then, we propose an adaptive Proportional Integral algorithm (SSPI) based on the estimation of the Self-Similar traffic rate by PLMA. Simulation results show that SSPI can achieve lower queue length jitter and smaller setting time than PI.

• Journal of Yeungnam Medical Science
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• v.21 no.1
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• pp.127-131
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• 2004

A laryngeal mask airway (LMA) has many advantages in the management of airway emergencies or the treatment of patients in whom intubation is difficult, but the use of LMA during positive ventilation may seem inappropriate to protect the airway because of the risk of pulmonary aspiration of regurgitated gastric contents. We experienced aspiration pneumonia after general anesthesia using LMA in patient who suffered from panperitonitis. It is considered that the main reason for aspiration pneumonia was a leakage of gastric content through the space surrounding the nasogastric tube while under high airway inflation pressure. We concluded that when LMA or the Proseal laryngeal mask airway (PLMA) is chosen for the use in difficult intubations, careful patient-suitability selection and the correct knowledge of LMA and PLMA are needed to protect the airway against aspiration.

• JOURNAL OF ELECTRICAL WORLD
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• s.352
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• pp.49-55
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• 2006

한전, 美國『PLMA 需要管理 대상』 수상/ 일반주택 태양광, 전년보다 120만 싸게 설치한다/ 2030 국가에너지기본계획 수립 착수/ 한 · 일 전력계통 신뢰도 심포지움 개최/ 중부발전, 양구 풍력단지사업 추진/ 서부발전, 신바람 리더십 워크샵 개최/ 동서발전, 「2006 대한민국 BSC 포럼」우수사례 발표/ 한국수력원자력(주), 협력기업에 금융지원/ 남부발전, 워크샵을 통한 기술교류 및 이해기반 확충으로 국내 발전소 건설사의 해외경쟁기반 강화/ 남동발전, UN「Global Compact」와 협약 체결/ 두산重, 캄보디아 관광소도시에 "사랑의 물" 나눈다/ 지역난방공사, 3년 연속 윤리경영 우수 공기업 선정/

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.613-615
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• 2004

수치적인 데이터를 분류하기 위한 대표적인 방법은 퍼지 규칙을 사용하는 것이다. 하지만 퍼지 규칙을 이용하는 방법은 퍼지 소속 함수를 어떻게 정의하느냐에 따라 퍼지 분류의 성능이 크게 영향을 받는다는 문제점이 있다. 따라서 퍼지 규칙을 쉽게 이해하기 위해서는 가능한 퍼지 규칙의 수를 적게 유지하는 것이 필요하다. 본 논문에서는 효과적이며 이해하기 쉬운 퍼지 규칙을 생성하기 위해 기울기 강하법을 기반으로 하는 소속 함수 학습 방법을 제안한다 에러율을 감소하기 위해 Penalty 연산과 Reward 연산을 통해 소속 함수가 반복적으로 조절된다 새로운 소속 함수는 Coverage 연산에 의해 생성된다. 또한 이해하기 쉬운 퍼지 규칙을 최적화하기 위해 학습된 소속 함수골 퍼지 결정 트리에 적용한다. 본 논문에서 제안한 알고리즘의 타당성을 확인하기 위해 벤치 마크 데이터인 Iris, Wisconsin Breast Cancer, Plma, Bupa 데이터를 이용하여 실험 결과를 보인다. 실험 결과를 통해 제안한 알고리즘이 기존의 C4.5와 FID 3.1 알고리즘보다 더 효과적이거나 비슷한 성능을 보임을 알 수 있다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.4 s.304
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• pp.79-86
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• 2005

In this paper, we propose a new LINF(Linear Independent Non-negative Factorization) algorithm for real-time face recognition systea This system greatly consists of the two parts: 1) face extraction part; 2) face recognition part. In the face extraction Part we applied subtraction image, the detection of eye and mouth region , and normalization method, and then in the face recognition Part we used LINF in extracted face candidate region images. The existing recognition system using only PCA(Principal Component Analysis) showed low recognition rates, and it was hard in the recognition system using only LDA(Linear Discriminants Analysis) to apply LDA directly when the training set is small. To overcome these shortcomings, we reduced dimension as the matrix that had non-negative value to be different from former eigenfaces and then applied LDA to the matrix in the proposed system We have experimented using self-organized DAIJFace database and ORL database offered by AT(')T laboratory in Cambridge, U.K. to evaluate the performance of the proposed system. The experimental results showed that the proposed method outperformed PCA, LDA, ICA(Independent Component Analysis) and PLMA(PCA-based LDA mixture algorithm) method within the framework of recognition accuracy.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.4
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• pp.45-50
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• 2004

In this paper, we propose a new PCA-based LDA Mixture Algorithm(PLMA) for real-time face recognition system. This system greatly consists of the two parts: 1) face extraction part; 2) face recognition part. In the face extraction part we applied subtraction image, color filtering, eyes and mouth region detection, and normalization method, and in the face recognition part we used the method mixing PCA and LDA in extracted face candidate region images. The existing recognition system using only PCA showed low recognition rates, and it is hard in the recognition system using only LDA to apply LDA to the input images as it is when the number of image pixels ire small as compared with the training set. To overcome these shortcomings, we reduced dimension as we apply PCA to the normalized images, and apply LDA to the compressed images, therefore it is possible for us to do real-time recognition, and we are also capable of improving recognition rates. We have experimented using self-organized DAUface database to evaluate the performance of the proposed system. The experimental results show that the proposed method outperform PCA, LDA and ICA method within the framework of recognition accuracy.