• Bulletin of the Korean Mathematical Society
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• v.60 no.2
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• pp.293-305
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• 2023

Let {T_t}_t∈∆ be the translation semigroup with a sector ∆ ⊂ ℂ as index set. The recurrent hypercyclicity criterion (RHCC) for the C₀-semigroup {T_t}_t∈∆ is established, and then the equivalent conditions ensuring {T_t}_t∈∆ satisfying the RHCC on weighted spaces of p-integrable and of continuous functions are presented. Especially, every chaotic semigroup {T_t}_t∈∆ satisfies the RHCC.

• Annals of Clinical Neurophysiology
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• v.25 no.1
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• pp.38-40
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• 2023

Acute pulmonary embolism (PE) is a life-threatening disease that manifests with cardiorespiratory symptoms. Syncope can be a rare, but warning sign of PE. We report a case of a 49-year-old male diagnosed with PE who presented with recurrent syncope prior to typical cardiorespiratory symptoms. His computed tomography pulmonary angiogram revealed bilateral PE. Syncope can be a rare clinical symptom of PE, but considering lethality of the disease, a differential diagnosis of PE should be considered in patients with recurrent syncope.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.161-163
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• 2021

대부분의 영상에 존재하는 그림자는 다양한 딥러닝 기반 영상처리 작업을 수행함에 방해가 되는 요소이다. 영상 내 그림자는 다양한 광원과 다양한 물체들의 상호작용에 의해 복잡하게 생성되며 이를 제거하는 것을 통해 다양한 Computer Vision task의 성능을 향상시킬 수 있다. 이 논문에서는 영상 내 그림자를 감지하여 Attention mechanism을 통해 그림자를 제거하고 Recurrent 하게 작업을 수행하며 복잡한 그림자를 단계적으로 제거하는 네트워크를 구현하였으며, Recurrent 한 네트워크에서 이전 단계의 데이터를 다음 단계에 효율적으로 전달하는 방식에 대한 실험을 수행하였다.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.592-597
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• 2003

In this paper, some differential geometric conditions for the observer using a recurrent neural network are provided in terms of a stochastic nonlinear system control. In the stochastic nonlinear system, it is necessary to make an additional condition for observation of stochastic nonlinear system, called perfect filtering condition. In addition, we provide a observer using a recurrent neural network for the observation of a stochastic nonlinear system with the proposed observation conditions. Computer simulation shows that the control performance of the stochastic nonlinear system with a observer using a recurrent neural network satisfying the proposed conditions is more efficient than the conventional observer as Kalman filter

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.3
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• pp.193-199
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• 2017

Instead of using only spatial features from a single frame for person re-identification, a combination of spatial and temporal factors boosts the performance of the system. A recurrent neural network (RNN) shows its effectiveness in generating highly discriminative sequence-level human representations. In this work, we implement RNN, three Long Short Term Memory (LSTM) network variants, and Gated Recurrent Unit (GRU) on Caffe deep learning framework, and we then conduct experiments to compare performance in terms of size and accuracy for person re-identification. We propose using GRU for the optimized choice as the experimental results show that the GRU achieves the highest accuracy despite having fewer parameters than the others.

• Kyungpook Mathematical Journal
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• v.60 no.2
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• pp.223-238
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• 2020

We study a lightlike hypersurface M of an indefinite nearly trans-Sasakian manifold ${\bar{M}}$ with an (ℓ, m)-type connection such that the structure vector field ζ of ${\bar{M}}$ is tangent to M. In particular, we focus on such lightlike hypersurfaces M for which the structure tensor field F is either recurrent or Lie recurrent, or such that M itself is totally umbilical or screen totally umbilical.

• Transactions of Materials Processing
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• v.8 no.4
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• pp.384-392
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• 1999

In metal forming, there are problems with recurrent geometric characteristics without explicitly prescibed boundary conditions. In such problems, so-called recurrent boundary conditions must be introduced. In this paper, as a practical application of the proposed method, the precision cold forging of a helical gear has been simulated by a three-dimensional rigid-plastic finite element method and compared with the experiment. The application of recurrent boundary conditions to helical gear forging analysis is proved to be effective and valid. the elastic stress analysis of the die for helical gear forging has been calculated by using the nodal force at the final stage obtained from the rigid-plastic finite element analysis. In order to obtain more precise gear products, the elastic analysis of the die after release of punch and the elastic spring-back analysis of product after ejection have been performed, and the final dimension of the computational product has been in good agreement with that of the experimental product.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.349-351
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• 2004

The classical dynamic backpropagation learning algorithm has the problems of learning speed and the determine of learning parameter. The Extend Kalman Filter(EKF) is used effectively for a state estimation method for a non linear dynamic system. This paper presents a learning algorithm using Dual Extended Kalman Filter(DEKF) for Fully Recurrent Neural Network(FRNN). This DEKF learning algorithm gives the minimum variance estimate of the weights and the hidden outputs. The proposed DEKF learning algorithm is applied to the system identification of a nonlinear SISO system and compared with dynamic backpropagation learning algorithm.

• Bulletin of the Korean Mathematical Society
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• v.26 no.2
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• pp.159-164
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• 1989

Let M be a hypersurface of dimension n(.geq.2) in an (n+1)-dimensional real space form over bar M(c) with constant curvature c and H the second fundamental tensor of M. M is said to be birecurrent if here exists a covariant tensor field .alpha. of order 2 such that .del.$^{2}$H=H .alpha., where .del. is the connection of M. Also, M is said to be recurrent if there exists a 1-form .betha. such that .del.H=H .betha.. Matsuyama [2] recently proved that a recurrent hypersurface M in a real space form is locally symmetric and a complete irreducible birecurrent hypersurface M in a real space form is recurrent. The main purpose of this paper is to characterize the birecurrent or recurrent hypersurface M of a Riemannian manifold with constant curvature c and to prove that M is classified as a cylinder, $M^{n}$ (c) or ( $c_{1}$)* $M^{n-r}$ ( $c_{2}$) where 1/ $c_{1}$+1/ $c_{2}$=1/c.

• The Journal of Internal Korean Medicine
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• v.22 no.4
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• pp.761-764
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• 2001

Recurrent Pyogenic Cholangitis(RPC) is a distinct clinical entity characterized by recurrent attacks of fever, chills, abdominal pain, and jaundice caused by bacterial infection. In 27, July, 2000, We treated a 40-year-old male patient, complained of these symptoms : severe abdominal pain, fatigue, indigestion, interval chilling. We diagnosed as stagnation of the liver-qi and Qi(肝鬱氣滯), gave herbal medicine composited with Herba Lysimachiae(金錢草), Spora Lygodii(海金沙), Herba Artemisiae Scopariae(茵蔯).etc. After treatment, main symptoms were disappeared and stone of common bile duct was removed. As a consequence, herbal medicine treatment was not toxic to liver function and good effect on RPC induced symptoms.