http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
An Adaptive-thermogenesis hypothesis for the physiological mechanismof obesity/diabetes
Eun Bo Shim(심은보),Soon Sung Kwon(권순성),Hong Kyu Lee(이홍규),Young Min Cho(조영민) 대한기계학회 2005 대한기계학회 춘추학술대회 Vol.2005 No.11
In this study, we present an adaptive thermogenesis hypothesis on the physiological mechanism of obesity and diabetes. A new mathematical model incorporating a stochastic process of variable uncertainty is also formulated to verify the hypothesis. The method is based on the energy conservation law for human body weight(mass) and the homeostasis principle of body core temperature. According to the theory, a disturbance in heat production or dissipation induces the energy unbalance and so body weight change as a compensatory mechanism is augmented according to the scaling law of body weight. This mechanism is verified in the simulation results compared with experimental results. It is demonstrated that the broken energy balance augments obesity by sequential events from heat balance, scaling law to energy conservation equation.
모든 속도영역의 점성유동에 적용 가능한 새로운 압력기반 유한요소법
심은보(Eun-Bo Shim),장근식(Keun-Shik Chang) 한국전산유체공학회 1995 한국전산유체공학회 학술대회논문집 Vol.1995 No.-
A finite element scheme using the concept of PISO method has been developed to solve the viscous flow problems in all speed range. In this study, new pressure equation is proposed such that both the hyperbolic term related with the density variations and elliptic term reflecting the incompressibility constraint are included. Present method has been applied to incompressible flow in two-dimensional driven cavity(Re=100, 400 and 1,000), and its computed results are compared with other's. Also, Carter plate problem(M=3 and Re=l,OOO) is computed and the comparison is made with Carter's results. Finally, we simulate a shock-boundary layer interaction problem(M=2 and Re=2.96xlO^5) to illustrate the shock capturing capability of the present solution algorithm.
심은보(Eun Bo Shim),권순성(Soon Sung Kwon),김유석(Yoo Seok Kim),전형민(Hyung Min Jung) 대한기계학회 2007 대한기계학회 춘추학술대회 Vol.2007 No.5
A 3D human ventricular model is proposed to simulate an integrative analysis of heart physiology and blood hemodynamics. This consists of the models of electrophysiology of human cells, electric wave propagation of tissue, heart solid mechanics, and 3D blood hemodynamics. The 3D geometry of human heart is discretized to a finite element mesh for the simulation of electric wave propagation and mechanics of heart. In cellular level, excitations by action potential are simulated using the existing human model. Then the contraction mechanics of a whole cell is incorporated to the excitation model. The excitation propagation to ventricular cells are transiently computed in the 3D cardiac tissue using a mono-domain method of electric wave propagation in cardiac tissue. Blood hemodynamics in heart is also considered and incorporated with muscle contraction. We use a PISO type finite element method to simulate the blood hemodynmaics in the human ventricular model.
비만/당뇨 진단을 위한 미토콘드리아 기반 인체 열/순환 시스템모델 개발
심은보(Eun Bo Shim),이홍규(Hong Kyu Lee),권순성(Soon Sung Kwon) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.11
This study developed an integrative model to analyze the human fluid/heat circulation covering from mitochondria to systems. Using the present model we present computational results on human obesity and cardiovascular disease. An adaptive thermogenesis hypothesis on the physiological mechanism of obesity and diabetes combined with cardiovascular model is used for systemic description of metabolic syndrome. This mathematical model incorporates the energy conservation law for human body weight(mass), the allometric scaling law of biology, the homeostasis principle of body core temperature, and cardiovascular system dynamics.
Atrous Convolution과 Grad-CAM을 통한 손 끝 탐지
노대철,김태영 (사)한국컴퓨터그래픽스학회 2019 컴퓨터그래픽스학회논문지 Vol.25 No.5
딥러닝 기술의 발전으로 가상 현실이나 증강 현실 응용에서 사용하기 적절한 사용자 친화적 인터페이스에 관한 연구가 활발히 이뤄지고 있다. 본 논문은 사용자의 손을 이용한 인터페이스를 지원하기 위하여 손 끝 좌표를 추적하여 가상의 객체를 선택하거나, 공중에 글씨나 그림을 작성하는 행위가 가능하도록 딥러닝 기반 손 끝 객체 탐지 방법을 제안한다. 입력 영상에서 Grad-CAM으로 해당 손 끝 객체의 대략적인 부분을 잘라낸 후, 잘라낸 영상에 대하여 Atrous Convolution을 이용한 합성곱 신경망을 수행하여 손 끝의 위치를 찾는다. 본 방법은 객체의 주석 전처리 과정을 별도로 요구하지 않으면서 기존 객체 탐지 알고리즘 보다 간단하고 구현하기에 쉽다. 본 방법을 검증하기 위하여 Air-Writing 응용을 구현한 결과 평균 81%의 인식률과 76 ms 속도로 허공에서 지연 시간 없이 부드럽게 글씨 작성이 가능하여 실시간으로 활용 가능함을 알 수 있었다. With the development of deep learning technology, research is being actively carried out on user-friendly interfaces that are suitable for use in virtual reality or augmented reality applications. To support the interface using the user's hands, this paper proposes a deep learning-based fingertip detection method to enable the tracking of fingertip coordinates to select virtual objects, or to write or draw in the air. After cutting the approximate part of the corresponding fingertip object from the input image with the Grad-CAM, and perform the convolution neural network with Atrous Convolution for the cut image to detect fingertip location. This method is simpler and easier to implement than existing object detection algorithms without requiring a pre-processing for annotating objects. To verify this method we implemented an air writing application and showed that the recognition rate of 81% and the speed of 76 ms were able to write smoothly without delay in the air, making it possible to utilize the application in real time.