Shan-Chih Hsieh

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Bottom-up construction of nanostructures from molecular-sized components is a promising approach to nanofabrication. This paper discusses bottom-up techniques that involve positioning of nanoparticles or nanorods with an Atomic Force Microscope (AFM), and, for certain applications, chemical linking of such components. The physical principles of(More)
A well-developed pose estimation scenario suitable for low altitude unmanned aerial vehicle (UAV) is proposed. By employing dual CCD cameras onboard, the instant pose of UAV can be determined without any use of expensive sensor like gyro. The unscented Kalman filter (UKF) is hereafter introduced to resolve the highly nonlinear system dynamics as well as the(More)
The algorithm for moving target tracking in clusters of sensor networks is presented. The aim of the proposed architecture is suitable for large-scale area tracking; the technique is based on received signal strength indication (RSSI) and time of arrival (TOA) measurements. Here we use the extended Kalman filter (EKF) to estimate the moving target’s(More)
Cellular neural network has the property of local connection. We use this property for seismic horizon linking. The constraint conditions for detecting seismic horizons are used to construct the Lyapunov energy function. The connection weights between neurons are extracted from Lyapunov energy function. Substitute the connection weights into the equation of(More)
1. INTRODUCTION There are hyperbolic patterns on seismic common-depth-point (CDP) gathers [1]-[4]. In 1985, Huang et al. had applied Hough transform (HT) to detect hyperbolic pattern of reflection wave [5]. However, the determination of the parameters of the pattern in the parameter space was not easy and memory requirement was also a problem. In 2002,(More)
In this paper, we focus on using the sensor network to track a moving target. We estimate the trajectories of moving targets by collecting the information from sensors measurements, and assume that sensors can be randomly moving within a limited radius r. Also assuming each sensor is able to calculate/obtain the distance between itself and the moving(More)
Simulated annealing (SA) is adopted to detect the parameters of line, circle, ellipse, and hyperbola. The equation of pattern is defined under translation and rotation. The distance from all points to all patterns is defined as the system error. Also we use the minimum error to determine the number of patterns. The parameters of the pattern are learned with(More)
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