• Title/Summary/Keyword: normal vector

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The Study on the Physical Vectors of the Seven Passions in the Pathophysiology of Obesity (비만 기전에 관여하는 칠정(七情)에 대한 벡터적 연구)

  • Kwak, Seung-Hyuk
    • Journal of Korean Medicine for Obesity Research
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    • v.6 no.1
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    • pp.45-50
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    • 2006
  • Objectives : The purpose of this study is to analyze the seven passions in terms of physical vector, and to understand the point of actions and directions. The result of this study will help us understand the aspect that the seven passions result in obesity and contribute in finding effective treatments. Methods : The characters of each seven passions were identified according to ${\ulcorner}$Hwangjenaekyung-Huangdineijing${\lrcorner}$. Results and Conclusions : 1. Each of the seven passions differs individually in physical characters in terms of points of actions and directions. 2. As the vector points of each seven passion work closely to digestive metabolism, and if the directions of vector clash into normal physiology, huge effects on obesity can be brought about. 3. Obesity, as a pathological situation, can be approached by canceling out all the vector elements of the seven passions. Here, the vector elements are basically regarded as the sources of obesity. 4. Psychological models of obesity can be applied for prevention and treatment.

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Frictional Contact Model for Finite Element Analysis of Sheet-Metal Forming Processes (박판 성형 공정의 유한요소 해석을 위한 마찰접촉 모델)

  • 금영탁
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.9
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    • pp.2242-2251
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    • 1993
  • The mesh-based frictional contact model has been developed which does not rely on the spatial derivatives of the tool surface. Only points on the surface are evaluated from the description. which can then be simplified because of the relaxed demands placed on it. The surface tangents, normals, and corresponding derivatives at each finite-element node are evaluated directly from the finite-element mesh, in terms of the connecting nodal positions. The advantages accrue because there is no longer a need for a smooth tool surface to assure reasonable normals and derivatives. Furthermore, it can be shown that the equilibrium equations can only be properly written with a special normal derived from the mesh itself. The validity, accuracy, computation time, and stability of mesh-based contact model were discussed with the numerical examples of rounded flat-top and rough, flat-top rounded punch forming operations. Also, the forming process of a automobile inner panel section was simulated for testing the robustness of new contact model. In the discussion, the superiority of new model was examined, comparing with tool-based contact one.

A New Method for Coronal Force-Free Field Computation That Exactly Implements the Boundary Normal Current Density Condition

  • Yi, Sibaek;Jun, Hongdal;Lee, Junggi;Choe, G.S.
    • The Bulletin of The Korean Astronomical Society
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    • v.44 no.2
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    • pp.71.3-71.3
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    • 2019
  • Previously we developed a method of coronal force-free field construction using vector potentials. In this method, the boundary normal component of the vector potential should be adjusted at every iteration step to implement the boundary normal current density, which is provided by observations. The method was a variational method in the sense that the excessive kinetic energy is removed from the system at every iteration step. The boundary condition imposing the normal current density, however, is not compatible with the variational procedure seeking for the minimum energy state, which is employed by most force-free field solvers currently being used. To resolve this problem, we have developed a totally new method of force-free field construction. Our new method uses a unique magnetic field description using two scalar functions. Our procedure is non-variational and can impose the boundary normal current density exactly. We have tested the new force-free solver for standard Low & Lou fields and Titov-Demoulin flux ropes. Our code excels others in both examples, especially in Titov-Demoulin flux ropes, for which most codes available now yield poor results. Application to a real active region will also be presented.

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Bayesian Analysis of GLEM with Half-Normal Prior

  • Bhattacharya, Samir K.;Lal, Ram
    • Journal of the Korean Statistical Society
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    • v.14 no.2
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    • pp.95-99
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    • 1985
  • In this paper, Bayesian analysiss of the general linear econometric model is carried out by using a multinomal prior for the vector of unknown regression coefficents and a half-normal prior for the standard deviation of the disturbances.

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CONFORMAL VECTOR FIELDS AND TOTALLY UMBILIC HYPERSURFACES

  • Kim, Dong-Soo;Kim, Seon-Bu;Kim, Young-Ho;Park, Seong-Hee
    • Bulletin of the Korean Mathematical Society
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    • v.39 no.4
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    • pp.671-680
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    • 2002
  • In this article, we show that if a semi-Riemannian space form carries a conformal vector field V of which the tangential part $V^T$ on a connected hypersurface $M^N$ ecomes a conformal vector field and the normal part $V^N on $M^N$ does not vanish identically, then $M^N$ is totally umbilic. Furthermore, we give a complete description of conformal vector fields on semi-Riemannian space forms.

The Influence of Collision Energy on the Reaction H+HS→H2+S

  • Liu, Yanlei;Zhai, Hongsheng;Zhu, Zunlue;Liu, Yufang
    • Bulletin of the Korean Chemical Society
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    • v.34 no.11
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    • pp.3350-3356
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    • 2013
  • Quasi-classical trajectory calculations have been carried out for the reaction H+HS by using the newest triplet 3A" potential energy surface (PES). The effects of the collision energy and reagent initial rotational excitation are studied. The cross sections and thermal rate constants for the title reaction are calculated. The results indicate that the integral cross sections (ICSs) are sensitive to the collision energy and almost independent to the initial rotational states. The ro-vibrational distributions for the product $H_2$ at different collision energies are presented. The investigations on the vector correlations are also performed. It is found that the collision energies play a postive role on the forward scatter of the product molecules. There is a negative influence on both the alignment and orientation of the product angular momentum for low collision energy at low energy region. Whereas the influence of collision energy is not obvious at high energy region.

Feature Extraction based on Auto Regressive Modeling and an Premature Contraction Arrhythmia Classification using Support Vector Machine (Auto Regressive모델링 기반의 특징점 추출과 Support Vector Machine을 통한 조기수축 부정맥 분류)

  • Cho, Ik-sung;Kwon, Hyeog-soong;Kim, Joo-man;Kim, Seon-jong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.2
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    • pp.117-126
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    • 2019
  • Legacy study for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods are complex to process and manipulate data and have difficulties in classifying various arrhythmias. Therefore it is necessary to classify various arrhythmia based on short-term data. In this study, we propose a feature extraction based on auto regressive modeling and an premature contraction arrhythmia classification method using SVM., For this purpose, the R-wave is detected in the ECG signal from which noise has been removed, QRS and RR interval segment is modelled. Also, we classified Normal, PVC, PAC through SVM in realtime by extracting four optimal segment length and AR order. The detection and classification rate of R wave and PVC is evaluated through MIT-BIH arrhythmia database. The performance results indicate the average of 99.77% in R wave detection and 99.23%, 97.28%, 96.62% in Normal, PVC, PAC classification.

Abnormal sonar signal detection using recurrent neural network and vector quantization (순환신경망과 벡터 양자화를 이용한 비정상 소나 신호 탐지)

  • Kibae Lee;Guhn Hyeok Ko;Chong Hyun Lee
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.500-510
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    • 2023
  • Passive sonar signals mainly contain both normal and abnormal signals. The abnormal signals mixed with normal signals are primarily detected using an AutoEncoder (AE) that learns only normal signals. However, existing AEs may perform inaccurate detection by reconstructing distorted normal signals from mixed signal. To address these limitations, we propose an abnormal signal detection model based on a Recurrent Neural Network (RNN) and vector quantization. The proposed model generates a codebook representing the learned latent vectors and detects abnormal signals more accurately through the proposed search process of code vectors. In experiments using publicly available underwater acoustic data, the AE and Variational AutoEncoder (VAE) using the proposed method showed at least a 2.4 % improvement in the detection performance and at least a 9.2 % improvement in the extraction performance for abnormal signals than the existing models.

Likelihood Ratio Test for the Equality of Two Order Restricted Normal Mean Vectors

  • Jeon Hyojin;Choi Sungsub
    • Proceedings of the Korean Statistical Society Conference
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    • 2000.11a
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    • pp.159-164
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    • 2000
  • In the study of the isotonic regression problem, several procedures for testing the homogeneity of a normal mean vector versus order restricted alternatives have been proposed since Barlow's trial(1972). In this paper, we consider the problem of testing the equality of two order restricted normal mean vectors based on the likelihood ratio principle.

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