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Phuong Dung Vo,김태진(Taejin Kim),노삼혁(Sam H. Noh) 한국정보과학회 2011 한국정보과학회 학술발표논문집 Vol.38 No.2A
스토리지 클래스 메모리(Storage Class Memory; SCM)는 비휘발성 속성과 바이트 단위의 임의접근이 가능한 속성을 동시에 보유하고 있는 차세대 메모리 기술이다. 지금까지 많은 SCM 관련 연구들은 SCM 활용 측면에서 성능 신뢰성 고집적도 그리고 에너지 절감 중심으로 이루어져왔다. 이와는 다르게 본 연구는 하이브리드 SCM-DRAM 메인 메모리에서 어플리케이션의 메인 메모리 할당 즉 SCM과 DRAM의 할당을 최적화하여 성능 신뢰성 집적도 그리고 에너지 절감이 시스템 전체적으로 최적이 될 수 있는 방법 연구이다. 본 논문에서는 최적의 성능을 가질 수 있는 SCM과 DRAM의 할당 방법만을 제시한다.
Ngo Manh Dung,Vo Hoang Duy,Nguyen Thanh Phuong,Sang Bong Kim,Myung Suck Oh 대한전기학회 2007 International Journal of Control, Automation, and Vol.5 No.3
In this paper, a nonlinear controller based on adaptive sliding-mode method which has a sliding surface vector including new boundizing function is proposed and applied to a two-wheeled welding mobile robot (WMR). This controller makes the welding point of WMR achieve tracking a reference point which is moving on a smooth curved welding path with a desired constant velocity. The mobile robot is considered in view of a kinematic model and a dynamic model in Cartesian coordinates. The proposed controller can overcome uncertainties and external disturbances by adaptive sliding-mode technique. To design the controller, the tracking error vector is defined, and then the sliding surface vector including new boundizing function and the adaptation laws are chosen to guarantee that the error vector converges to zero asymptotically. The stability of the dynamic system is shown through the Lyapunov method. In addition, a simple way of measuring the enol'S by potentiometers is introduced. The simulations and experimental results are shown to prove the effectiveness of the proposed controller.
Study on the Characteristics of X-ray Spectra in Imaging Diagnosis Using Monte Carlo Simulations
Khanh Ai Tran,Loan Thi Hong Truong,Nhon Van Mai,Phuong Nguyen Dang,Dung Thi Thuy Vo 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.69 No.7
X-rays are widely used in diagnostic imaging such as radiography and computed tomography. An understanding of the X-ray spectrum is essential for estimating the dose absorbed by the patient and for improving image quality. In this research, X-ray emission spectra were investigated by using two different approaches: a Monte Carlo method using the MCNP5 code and a semi-empirical calculation with SpekCalc software. The results were compared with each other to validate the Monte Carlo simulation of the X-ray spectra, so that the simulation model can be applied to estimating the dose rate distribution in X-ray imaging. The obtained results show good agreement between the two approaches, but some divergence is still observed in the characteristic X-ray peaks. In addition, the influence of X-ray tube parameters such as the peak voltage, filter, anode angle and target material on of the beam quality was investigated.