• Applied Science and Convergence Technology
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• 제25권5호
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• pp.98-102
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• 2016

The level set method has recently become popular in the simulation of semiconductor processes such as etching, deposition and photolithography, as it is a highly robust and accurate computational technique for tracking moving interfaces. In this research, full three-dimensional level set simulation has been developed for the investigation of focused ion beam processing. Especially, focused ion beam induced nanodot formation was investigated with the consideration of three-dimensional distribution of redeposition particles which were obtained by Monte-Carlo simulation. Experimental validations were carried out with the nanodots that were fabricated using focused $Ga^+$ beams on Silicon substrate. Detailed description of level set simulation and characteristics of nanodot formation will be discussed in detail as well as surface propagation under focused ion beam bombardment.

• International Journal of Computer Science & Network Security
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• 제24권3호
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• pp.107-112
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• 2024

Nowadays the deadly virus famous as COVID-19 spread all over the world starts from the Wuhan China in 2019. This disease COVID-19 Virus effect millions of people in very short time. There are so many symptoms of COVID19 perhaps the Identification of a person infected with COVID-19 virus is really a difficult task. Moreover it's a challenging task to identify whether a person or individual have covid test positive or negative. We are developing a framework in which we used machine learning techniques..The proposed method uses DecisionTree, KNearestNeighbors, GaussianNB, LogisticRegression, BernoulliNB , RandomForest , Machine Learning methods as the classifier for diagnosis of covid ,however, 5-fold and 10-fold cross-validations were applied through the classification process. The experimental results showed that the best accuracy obtained from Decision Tree classifiers. The data preprocessing techniques have been applied for improving the classification performance. Recall, accuracy, precision, and F-score metrics were used to evaluate the classification performance. In future we will improve model accuracy more than we achieved now that is 93 percent by applying different techniques

• 간호행정학회지
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• 제9권4호
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• pp.599-613
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• 2003

Purpose: The ultimate aim of the inquiry was to discover the essence of nurse's experience and promote understanding. Method : Guided by Colaizzi's method - 1. Description of the phenomena of interest by the reader. 2. collection of subject's description of the phenomena, 3. Reading all the subject's descriptions of the phenomenon, 4. Returning the original transcripts and extracting significant statements, 5. Trying to spell out the meaning of each significant statements, 6. Organizing the aggregate formalized meanings into clusters of themes. 7. Writing an exhaustive description, 8. Returning to the subjects for validation of the description, 9. If new data fare revealed during the validations incorporating them into an exhaustive description. The participants in this study were eight are nurses working for clinics. This strategies for data collecting were needed : deep face to face interview. Results : 6 cluster of themes are : 1. the heavy pressure, 2. the pride and the royal summons, 3. the powerlessness, 4. the hope, 5. the tiresome. 6. the distressed feeling. Conclusion : The results of the this study would help us to understand nurses in clinics, make direction for nursing education, and identify need for continuing inquiry.

• Ocean Systems Engineering
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• 제7권3호
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• pp.299-318
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• 2017

The paper aims at illustrating several key issues and ongoing efforts for development of a reliable fully-Lagrangian particle-based solver for simulation of hydroelastic slamming. Fluid model is founded on the solution of Navier-Stokes along with continuity equations via an enhanced version of a projection-based particle method, namely, Moving Particle Semi-implicit (MPS) method. The fluid model is carefully coupled with a structure model on the basis of conservation of linear and angular momenta for an elastic solid. The developed coupled FSI (Fluid-Structure Interaction) solver is applied to simulations of high velocity impact of an elastic aluminum wedge and hydroelastic slammings of marine panels. Validations are made both qualitatively and quantitatively in terms of reproduced pressure as well as structure deformation. Several remaining challenges as well as important key issues are highlighted. At last, a recently developed multi-scale MPS method is incorporated in the developed FSI solver towards enhancement of its adaptivity.

• 한국전산유체공학회지
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• 제20권1호
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• pp.16-25
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• 2015

The present study investigates the sloshing phenomena in a two-dimensional rectangular tank at a low filling level by using a level set method based on finite volume method. The code validations are performed by comparing between the present results and previous numerical and experimental results, which gives a good agreement. Various excitation frequencies and excitation amplitude of the 30% filling height tank have been considered in order to observe the dependence of the sloshing behavior on the excitation frequency and amplitude. Regardless of excitation amplitude, the maximum value of wall pressure occurs when the excitation frequency reaches the natural frequency. The time sequence of free surface and corresponding streamlines for excitation frequencies have been presented to analysis the variation of wall pressure according to time, which contributes to explain the double peaks in the time variation of wall pressure.

• 한국정보과학회논문지:데이타베이스
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• 제34권2호
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• pp.153-165
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• 2007

XML은 웹 데이타 표현 및 교환을 위한 표준으로 많은 응용 분야에서 널리 이용되고 있다. XML Schema는 표준 XML 스키마로, 정의된 XML Schema에 의거하여 작성된 XML 문서를 ‘유효한 XML 문서’라고 하며 이러한 XML 문서는 갱신이 된 후에도 XML Schema에 대해 유효함이 보장되어야 한다. 본 논문은 갱신 이전에 갱신과 관련된 부분에 대한 유효 검증을 수행하여 불필요한 유효 검증을 제거한 XML Schema 유효 검증 메커니즘인 ‘예상 갱신 부분 유효 검증 기법’과 갱신 별 유효 검증 알고리즘을 제안한다. 또한 XML 데이타와 XML Schema 간의 매핑 방법과 XML Schema 유효 검증을 지원하기 위해 효율적인 스키마 정보 추출을 제공하는 XML Schema 저장 방법을 제안한다. 마지막으로 실험을 통해 스키마 저장 방법에 따른 갱신 별 유효 검증 성능을 비교한다.

• 한국항공우주학회지
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• 제43권1호
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• pp.8-22
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• 2015

지금까지 인젝터의 수치적 시뮬레이션은 대부분 Eulerian 기법의 바탕위에서 이루어져 왔다. 그러나 액체제트의 미립화현상과 복잡한 공기와의 경계면 변화를 나타내는데 있어 기존의 기법들이 갖는 선천적인 단점이 존재하며 따라서 본 연구에서는 새로운 Smoothed Particle Hydrodynamics(SPH)라는 입자 기법을 도입하였다. 수치적 시뮬레이션을 위해 먼저 해석을 위한 SPH 코드를 개발하였으며 본 논문에서는 인젝터 문제를 정확하게 나타내는데 있어 필수적인 알고리즘중 하나인 다상유동모사에 대한 검증문제가 제시 되어 있다. 마지막으로 다양한 인젝터 종류 중 하나인 액체-액체 동축형 스월 인젝터에 대한 시뮬레이션이 수행되었으며 실제실험과의 비교를 진행하였다.

• 대한의용생체공학회:의공학회지
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• 제43권5호
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• pp.299-307
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• 2022

In this paper, we propose a pre-processing method that converts to Spider Chart image data for classification of gripping movement using EMG (electromyography) sensors and Convolution Neural Networks (CNN) deep learning. First, raw data for six hand gestures are extracted from five test subjects using an 8-channel armband and converted into Spider Chart data of octagonal shapes, which are divided into several sliding windows and are learned. In classifying six hand gestures, the classification performance is compared with the proposed pre-processing method and the existing methods. Deep learning was performed on the dataset by dividing 70% of the total into training, 15% as testing, and 15% as validation. For system performance evaluation, five cross-validations were applied by dividing 80% of the entire dataset by training and 20% by testing. The proposed method generates 97% and 94.54% in cross-validation and general tests, respectively, using the Spider Chart preprocessing, which was better results than the conventional methods.

• Nuclear Engineering and Technology
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• 제31권2호
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• pp.192-201
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• 1999

This paper proposes an improved signal processing strategy for accurate feedwater flowrate estimation in nuclear power plants. It is generally known that ∼2% thermal power errors occur due to fouling Phenomena in feedwater flowmeters. In the strategy Proposed, the noises included in feedwater flowrate signal are classified into rapidly varying noises and gradually varying noises according to the characteristics in a frequency domain. The estimation precision is enhanced by introducing a low pass filter with the wavelet analysis against rapidly varying noises, and an autoassociative neural network which takes charge of the correction of only gradually varying noises. The modified multivariate stratification sampling using the concept of time stratification and MAXIMIN criteria is developed to overcome the shortcoming of a general random sampling. In addition the multi-stage robust training method is developed to increase the quality and reliability of training signals. Some validations using the simulated data from a micro-simulator were carried out. In the validation tests, the proposed methodology removed both rapidly varying noises and gradually varying noises respectively in each de-noising step, and 5.54% root mean square errors of initial noisy signals were decreased to 0.674% after de-noising. These results indicate that it is possible to estimate the reactor thermal power more elaborately by adopting this strategy.

• 한국정보통신학회논문지
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• 제4권2호
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• pp.487-492
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• 2000

본 논문은 유도전동기 간접 벡터 제어시 회전자 시정수 변동에 대한 슬립보상 방법을 제안하였다. 회전자 시정수가 변동하면 고정자 전류의 자속 및 토크 성분의 상호 간섭이 발생하여 벡터제어가 불가능하고 성능이 저하하게 된다. 이를 해결하기 위하여 본 논문에서는 실제 자속 성분과 기준 자속 성분을 비교하여 위상차 없이 자속 성분을 기준 좌표의 q축에 일치시키고 PI 제어기를 이용하여 슬립을 보상하는 방법을 제시하였다. 제안된 방법을 이용하면 유도전동기의 회전자 저항 변동시 q축 자속 성분이 0이 되어 적정 슬립이 유지되고 정확한 벡터제어가 실현된다. 제안된 알고리즘의 타당성을 컴퓨터 시뮬레이션과 실험을 통하여 검증하였다.