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Numerical simulation of the flow in pipes with numerical models
Hongjie Gao,Xinyu Li,Abdolreza Hooshmandi Nezhad,Amir Behshad 국제구조공학회 2022 Structural Engineering and Mechanics, An Int'l Jou Vol.81 No.4
The objective of this study is to simulate the flow in pipes with various boundary conditions. Free-pressure fluid model, is used in the pipe based on Navier-Stokes equation. The models are solved by using the numerical method. A problem called “stability of pipes” is used in order to compare frequency and critical fluid velocity. When the initial conditions of problem satisfied the instability conditions, the free-pressure model could accurately predict discontinuities in the solution field. Employing nonlinear strains-displacements, stress-strain energy method the governing equations were derived using Hamilton's principal. Differential quadrature method (DQM) is used for obtaining the frequency and critical fluid velocity. The results of this paper are analyzed by hyperbolic numerical method. Results show that the level of numerical diffusion in the solution field and the range of well-posedness are two important criteria for selecting the two-fluid models. The solutions for predicting the flow variables is approximately equal to the two-pressure model 2. Therefore, the predicted pressure changes profile in the twopressure model is more consistent with actual physics. Therefore, in numerical modeling of gas-liquid two-phase flows in the vertical pipe, the present model can be applied.
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중국인 학습자를 위한 ‘-더’ 종결형의 교육 연구 -‘-더라’를 중심으로-
고흥희 ( Gao Hongji ) 한국어교육연구소 2015 한국어교육연구 Vol.11 No.2
한국어의 ‘-더-’는 시제, 상, 양태 범주와 모두 관련되는 선어말어미로 화자가 과거 어느 때에 직접 지각·경험하여 알게 된 사실을 현재의 말하는 장면에 그대로 옮겨 와서 전달한다는 뜻을 나타낸다. 이처럼 ‘-더-’는 용법이 복잡하여 정확하게 습득하기에 어려운 문법항목이다. 더욱이 중국어에는 선어말어미 ‘-더-’에 대응하는 표현이 없기 때문에 중국인 학습자들이 정확하게 익히기 어려워하는 문법 항목 중의 하나이다. 본고에서는 선어말어미 ‘-더-’의 종결형을 연구 대상으로 하여 통사적 특징과 의미ㆍ화용적 특징을 살펴보고 학습자들이 쉽게 혼동하는 과거시제 선어말어미 ‘-았/었/였-’과의 차이점을 분석하였다. 또한 ‘-더-’로 실현된 한국어 문장이 중국어에서의 실현 양상을 살펴봄으로 한중 표현 방식의 차이를 분석하였다. 이를 바탕으로 중국인 학습자를 위한 보다 효율적인 ‘-더-’ 교육 방안을 제시함으로 학습자들이 ‘-더-’의 용법을 정확하게 습득하여 일상 회화에서 사용할 수 있도록 하는 데 목적을 두었다. The suffix, "-더-(deo)" is used by the speaker to talk about what he did by himself in the past. It is related to tense, aspect and modality. It’s not easy for Chinese learners to grasp the usage of the suffix "-더 -(deo)". Because in Chinese there is no similar expression like it. This paper concentrates on the combination of "-더-(deo)" and ending suffix to discuss its syntactic and pragmatic character. This paper is aiming at seeking an effective teaching method to help students to grasp the usage of "-더-(deo)" by analyzing the differences between Chinese and Korean expressions and comparing with the confusing suffixes of past tense, like "-았/었/였-(at/eot/yeot)".
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Research on Feature Extraction based on Deep Learning
Wu Pin,Yan Hongjie,Shang Weilie,Zhu Yonghua,Gao Honghao 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.11
With the development of deep learning, it has achieved impressive results in feature extraction field. This paper drives research in feature extraction based on deep learning. First, this paper gives a brief introduction on the world's research status on deep learning and principle of Restricted Boltzmann machine (RBM). Then this paper conducts reducing experiment based on RBM for handwritten digits. According to the analysis based on the results of the experiments, this paper tries to get a proper dimension which handwritten digits reduced to achieve better performance. Finally, this paper finds that it reach the goal when handwritten digits is reduced to half dimensional raw digits. This is an important foundation of deep learning layering and offers help to researchers in feature extraction based on deep learning.
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