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Manual control of a nonholonomic system by multiple predictor-controller pair architecture
Shinpei Kato,Takakuni Goto,Noriyasu Homma,Makoto Yoshizawa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
Humans can often conduct both linear and nonlinear control tasks after a sufficient number of trials, even ifthey initially do not have sufficient knowledge about the system’s dynamics and the way to control it. Theoretically, it is well known that some nonlinear systems cannot be stabilized asymptotically by any linear controllers. However,there is a possibility that human may use a linear control scheme for nonlinear control tasks. The hypothesis proposedin this paper is that humans switch the linear controllers with a virtual constraint. Each controller is responsible for a small region where the linear approximation can work well for nonlinear tasks. It is suggested that the proposed virtual constraint can play an important role to overcome a limitation of the linear controllers.
Auto-Detection of Non-Isolated Pulmonary Nodules Connected to The Chest Walls in X-ray CT images
Satoshi Shimoyama,Noriyasu Homma,Masao Sakai,Tadashi Ishibashi,Makoto Yoshizawa 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, we develop an auto-detection method of non-isolated pulmonary nodules for computer-aided diagnosis (CAD) of lung cancers using X-ray CT images. An essential core of the method is to transform the non-isolated nodules connected to the walls of the chest into isolated ones that can be detected more easily by CAD systems developed previously. To this end, an active contour model is proposed to extract the lung area from the original CT image. The proposed model can solve the local optimum problem of the contour model by using anatomical features of the lung in X-ray CT slices. Some experimental results demonstrate the usefulness of the proposed method by using clinical CT images.