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魯鎭宇,陸相元,琴坰樹 대한한의학원전학회 1999 대한한의학원전학회지 Vol.12 No.2
A Study on the Haeng Chym Pyun(行鍼篇) of the Young Chu(靈樞) The Haeng Chym(行鍼) which is the sixty seventh chapter of the Young Chu(靈樞), predominantly explicates the six kinds of needling reactions. The principle ideas of this thesis can be summarized as following, the Haeng Chym is divided into three parts in this thesis. 1st part: It shows that the six kinds of reactions occur from the excess and deficiency of yin-yang(陰陽) which is due to each different constitution(體質) in the acupuncture. 2nd part: It explains the excessive visceral-qu(臟氣) which is due to congenital constitution and the needling reaction which appears among the man of overabundant yang(重陽之人). It shows needling reaction of the man who has a little yin among the man of overabundant yang. 3rd part: It explains the quick and slow of the reaction which occurred in the acupuncture, the presence of reaction by the times of acupuncture, abnormal rising of qi, bad needling reaction in the acupuncture and the side effect by frequent acupuncture.
노진우,문인혁,고한석 대한전자공학회 2004 電子工學會論文誌-SP (Signal processing) Vol.41 No.5
본 논문에서는 포즈 변화에 강인한 얼굴 인식을 위하여 원통 모델을 이용하는 방법을 제안한다. 얼굴 모양이 원통형이라는 가정 하에 입력 영상으로부터 대상의 포즈를 예측하고, 예측된 포즈 각도만큼 포즈 변환을 실시하여 정면 얼굴 영상을 획득한다. 이렇게 획득한 정면 영상을 얼굴 인식에 적용함으로써 얼굴 인식률을 향상시킬 수 있다. 실험 결과, 포즈 변환을 통하여 인식률이 61.43%에서 93.76%로 향상되었음을 볼 수 있었으며, 보다 복잡한 3차원 얼굴 모델을 이용한 결과와 비교하였을 때 비교적 양호한 인식률을 갖는 것을 확인하였다. This paper proposes a novel method for achieving pose-invariant face recognition using cylindrical model. On the assumption that a face is shaped like that of a cylinder, we estimate the object's pose and then extract the frontal face image via a pose transform with previously estimated pose angle. By employing the proposed pose transform technique we can increase the face recognition performance using the frontal face images. Through representative experiments, we achieved an increased recognition rate from 61.43% to 94.76% by the pose transform. Additionally, the recognition rate with the proposed method achieves as good as that of the more complicated 3D face model.
미토콘드리아 기능을 통해 내인성 글루탐산이 신경세포 생존에 미치는 영향
노진우,김혜지,은수용,강문석,정성철,양윤실,Noh, Jin-Woo,Kim, Hye-Ji,Eun, Su-Yong,Kang, Moon-Suk,Jung, Sung-Cherl,Yang, Yoon-Sil 제주대학교 의과학연구소 2018 The Journal of Medicine and Life Science Vol.15 No.2
Neuronal excitotoxicity induces mitochondrial dysfunction and the release of proapoptotic proteins. Excitotoxicity, the process by which the overactivation of excitatory neurotransmitter receptors leads to neuronal cell death. Neuronal death by excitotoxicity was related to neuronal degenerative disorders and hypoxia, results from excessive exposure to excitatory neurotransmitters, such as glutamate. Glutamate acts at NMDA receptors in cultured neurons to increase the intracellular free calcium concentration. Therefore endogenous glutamate may be a key factor to regulate neuronal cell death via activating $Ca^{2+}$ signaling. For this issue, we tested some conditions to alter intracellular $Ca^{2+}$ level in dissociated hippocampal neurons of rats. Cultured hippocampal neuron were treated by KCl (20 mM), $CaCl_2$ (3.8 mM) and glutamate ($5{\mu}M$) for 24 hrs. Interestingly, The Optical Density of hippocampal neurons was increased by high KCl application in MTT assay data. This enhanced response by high KCl was dependent on synaptic $Ca^{2+}$ influx but not on intracellular $Ca^{2+}$ level. However, the number of neurons seemed to be not changed in Hoechst 33342 staining data. These results suggest that enhancement of synaptic activity plays a key role to increase mitochondrial signaling in hippocampal neurons.
노진우,고한석,문인혁 대한전자공학회 2004 電子工學會論文誌-SP (Signal processing) Vol.41 No.05
본 논문에서는 포즈 변화에 강인한 얼굴 인식을 위하여 원통 모델을 이용하는 방법을 제안한다. 얼굴 모양이 원통형이라는 가정 하에 입력 영상으로부터 대상의 포즈를 예측하고, 예측된 포즈 각도만큼 포즈 변환을 실시하여 정면 얼굴 영상을 획득한다. 이렇게 획득한 정면 영상을 얼굴 인식에 적용함으로써 얼굴 인식률을 향상시킬 수 있다. 실험 결과, 포즈 변환을 통하여 인식률이 61.43%에서 94.76%로 향상되었음을 볼 수 있었으며, 보다 복잡한 3차원 얼굴 모델을 이용한 결과와 비교하였을 때 비교적 양호한 인식률을 갖는 것을 확인하였다. This paper proposes a novel method for achieving pose-invariant face recognition using cylindrical model. On the assumption that a face is shaped like that of a cylinder, we estimate the object's pose and then extract the frontal face image via a pose transform with previously estimated pose angle. By employing the proposed pose transform technique, we can increase the face recognition performance using the frontal face images. Through representative experiments, we achieved an increased recognition rate from 61.43% to 94.76% by the pose transform. Additionally, the recognition rate with the proposed method achieves as good as that of the more complicated 3D face model.