• 대한간호학회지
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• 제37권6호
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• pp.883-890
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• 2007

Purpose: The purpose of this study was to identify the entity of critical care nursing practices through analyzing nursing statements described by electronic nursing records in a MICU. Methods: 176,459 nursing statements of 188 patients during a 6 month-stay were analyzed statement by statement according to the nursing process(nursing phenomena, nursing diagnosis, & nursing activity) and 21 nursing components of Saba's Clinical Care Classification. Results: Among 176,459 single statements, the statements of nursing activity ranked first in number. The contents of the statements were analyzed and categorized by main themes. Among 489 categorized themes, the number of themes of nursing phenomena statements was the highest. When analyzed by Saba's clinical Care Classification, the nursing statements mainly included a physiological component. Among 21 components, the respiratory component ranked in the first position in nursing phenomena, nursing diagnosis and nursing activity. The extra statements not included in the 21 components were 9,294(15.1%) in nursing phenomena and 21,949(22.7%) in nursing activity. Most are statements related to tests and the doctor. Conclusion: The entity of MICU nursing practice expressed by electronic nursing records was mainly focused on physiological components and more precisely on respiratory components.

• 한국통신학회논문지
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• 제27권6A호
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• pp.592-601
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• 2002

본 논문에서는 블록 분류와 적응적 필터링을 이용하여 블록 기반 부호화에서의 블록화 현상을 제거하는 후처리 방법을 제안하였다. 제안한 방법에서는 블록 분류, 적응적인 블록 간 필터링, 및 블록 내 필터링의 단계로 이루어진다. 먼저, 각 블록을 8$\times$8 DCT 계수 분포에 따라 7개의 클래스로 분류하고, 인접한 두 블록의 클래스 걸보에 따라 적응적인 블록 간 필터링을 수행한다. 그리고 복잡한 클래스로 분류된 블록에 대하여 에지맵을 이용한 블록 내 필터링을 수행한다. 실험결과로부터 제안한 방법이 기존의 방법에 비하여 객관적 화질 및 주관적 화질 측면에서 보다 우수함을 확인하였다.

• 터널과지하공간
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• 제10권3호
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• pp.395-402
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• 2000

고속철도터널 시공전에 폐광된 광산의 채굴공동의 변형거동이 철도터널의 안정성에 마치는 영향을 조사하고자 이 지역에서 지질조사, 암반의 공학적 평가 및 평가요소에 대한 다중회귀분석, 수치해석 입력자료의 취득을 위한 많은 조사를 수행하였다. 암반의 공학적 분류결과 절리면에 대한 상태가 RMR 값을 결정하는데 가장 중요한 변수로 나타났고 ,Q값을 결정하는데는 절리군의 수가 가장 중요한 변수인 것으로 분석되었다. FLAC에 의한 해석결과 고속철도구간 서측 하부 50m 지점에 위치한 채굴적의 변형거동은 암반의 역학적 특성에 따라 변형양상은 다를 수 있으나 고속철도터널에 침하성 변위를 유발시킬 가능성이 있을 것으로 판단되었다. 그러나 채굴적을 광체와 같은 역학적 특성을 갖는 재료로 충전 시켰을 때 침하성 변위는 나타나지 않는 것으로 나타났다.

• Journal of Electrical Engineering and Technology
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• 제11권3호
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• pp.683-689
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• 2016

Most outdoor solid insulators may suffer from surface degradations due to non-stationary currents that flow on the insulator surface. These currents may be classified as leakage, discharge and tracking currents due to their disturbing potencies respectively. The magnitude of these currents depends on the degree of the contamination of surface. The leakage signals are followed by discharge signals and tracking signals which are capable of forming carbonized tracking paths on the surface between high voltage and earth contacts (surface tracking). Surface tracking is one of the most breakdown mechanisms observed on the solid insulators, especially polymers which may cause severely reduced lifetime. In this study the degradations observed on polyester resin based insulators are investigated according to the IEC 587 Inclined Plane Test Standard. The signals are monitored and recorded during tests until surface tracking initiated. In order to prevent total breakdown of an insulator, early detection of tracking signals is vital. Continuous Wavelet Transform (CWT) is proposed for classification of signals and their energy levels observed on the surface. The application of CWT for processing and classification of the surface signals which are prone to display high frequency oscillations can facilitate real time monitoring of the system for diagnosis.

• Journal of Microbiology and Biotechnology
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• 제7권1호
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• pp.68-74
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• 1997

One hundred and eighty two lactic acid bacteria, isolated mainly from kimchi, including reference strains were examined for their ability to utilize 95 carbon sources. The test strains were assigned to 5 major, 1 minor and 12 single-membered clusters based on the $S_{SM}$, UPGMA algorithm (at similarity of $80{\%}$). These aggregate clusters were equivalent to the genus Leuconostoc (aggregate cluster M and N), the genus Lactobacillus (aggregate cluster Q and R), and the genera Lactobacillus and Leuconostoc (aggregate cluster O and P) according to the database of the Biolog system. This study demonstrates that rapid identification and classification of isolates originating from kimchi can be achieved on the basis of such carbon source utilization tests.

• 한국농공학회논문집
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• 제51권3호
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• pp.63-69
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• 2009

The undisturbed specimens used in this research were sampled in the field by the sequential sampling method. In addition, four testing methods were applied to identify for the characteristics and classification of weathered strata. N-value by standard penetration test was obtained from in the field and then analyzed using normalization method. Other methods such as X-ray grain size distribution, X-ray fluorescence spectroscopy(XRF), and fall cone test were carried out in the lab. These analyzed results indicate that distribution of particle, composition of minerals are changed in accordance with the degree of weathering, unusual strata and depth. Consequently, the weathered strata can be extensively separated into two parts according to the test results and each part was shown different in the strata characteristics. It can be prospected that mechanical characteristics should be different, even though mechanical tests were not applied. Furthermore, these results not only make up for the error by one testing method but also contribute more effectively and economically to the design and the construction.

• 분석과학
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• 제33권2호
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• pp.86-97
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• 2020

Reconstruction and separation of explosive-contaminated overlapping fingerprints constitutes an analytical challenge of high significance in forensic sciences. Laser-induced breakdown spectroscopy (LIBS) allows real-time chemical mapping by detecting the light emissions from laser-induced plasma and can offer powerful means of fingerprint classification based on the chemical components of the sample. During recent years LIBS has been studied one of the spectroscopic techniques with larger capability for forensic sciences. However, despite of the great sensitivity, LIBS suffers from a limited detection due to difficulties in reconstruction of overlapping fingerprints. Here, the authors propose a simple, yet effective, method of using chemical mapping to separate and reconstruct the explosive-contaminated, overlapping fingerprints. A Q-switched Nd:YAG laser system (1064 nm), which allows the laser beam diameter and the area of the ablated crater to be controlled, was used to analyze the chemical compositions of eight samples of explosive-contaminated fingerprints (featuring two sample explosive and four individuals) via the LIBS. Then, the chemical validations were further performed by applying the Raman spectroscopy. The results were subjected to principal component and partial least-squares multivariate analyses, and showed the classification of contaminated fingerprints at higher than 91% accuracy. Robustness and sensitivity tests indicate that the novel method used here is effective for separating and reconstructing the overlapping fingerprints with explosive trace.

• 지질공학
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• 제5권2호
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• pp.139-153
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• 1995

현장시추코어를 이용한 역학적, 수리학적 분석을 수행하여 거제지역 화강암체의 공학적 특성을 산정하였다. 코어분석시에 현장응력의 영향이 고려될 수 없어서 암반불류에 의거하여 산정된 공학적 성질들이 현장실험결과와 상이하게 도출되기도 하였다. 암반분류, 공내실험 및 실내실험 결과에 근거하여 지하공동 설계에 대한 경험적 계수들을 산정하였다. 거제도 남단에 분포하는 화강암체의 경우, 비록 균열대가 존재하지만, 상당히 양호한 암반상태를 나타내고 있으며, 대규모 지하시설도 용이하게 건설될 수 있을 것으로 기대된다.

• 대한안전경영과학회지
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• 제11권1호
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• pp.27-33
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• 2009

A study of fracture to material is getting interest in nuclear and aerospace industry as a viewpoint of safety. Acoustic emission (AE) is a non-destructive testing and new technology to evaluate safety on structures. In previous research continuously, all tensile tests on the pre-defected coupons were performed using the universal testing machine, which machine crosshead was move at a constant speed of 5mm/min. This study is to evaluate an AE source characterization of SM45C steel by using k-nearest neighbor classifier, k-NNC. For this, we used K-means clustering as an unsupervised learning method for obtained multi -variate AE main data sets, and we applied k-NNC as a supervised learning pattern recognition algorithm for obtained multi-variate AE working data sets. As a result, the criteria of Wilk's $\lambda$, D&B(Rij) & Tou are discussed.

• 전기전자학회논문지
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• 제20권1호
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• pp.16-25
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• 2016

의학적 진단을 내리기 위해 시행되는 검사의 소요시간(turnaround time, TAT)은 환자대기시간과 직결되며 중요한 의료서비스 평가항목 중 하나이다. 본 연구에서는 주요 영상의학검사를 대상으로 TAT를 측정하고, 그 결과가 의료기관이 설정한 기준치를 달성하는지 여부를 분석하였다. 분류회귀나무 알고리즘을 이용한 예측 결과, "진료과", "상병", "검사종류", "실시월"이 적기처리 달성에 가장 큰 영향을 주는 요인으로 확인되었다. 본 연구는 의료서비스의 적기처리를 예측하는 모형을 통하여 의료서비스 지연을 사전에 조치할 수 있는 수단을 제공하였다는 데에 큰 의미가 있다.