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To reduce the manpower and response time for surveillance systems at low cost, in this paper, an ARM-based embedded system dedicated for unattended realtime moving target detection is constructed. The comprehensive procedures in building up an embedded system such as setup environment for cross-compilation, migration of Bootloader, migration of Linux-2.6 kernel, fabrication and migration of root document...
The purpose of this paper is to design an intelligent wheel robot, which can recognize and follow a predefined forward sign while automatically bypassing any encountered obstacle. By distributing those forward signs, the path of the robot is determined. With this concept, an image based autopilot system with immunity against electromagnetic interference is constructed. Harr-like feature training algorithm...
The purpose of this paper is to design an intelligent wheel robot, which can recognize and follow a predefined forward sign while automatically bypassing any encountered obstacle. By distributing those forward signs, the path of the robot is determined. With this concept, an image based autopilot system with immunity against electromagnetic interference is constructed. Harr-like feature training algorithm...
There are two major problems that people usually have to face when they carry out optimal control designs in state space system or descriptor system. One is no state derivative considered in cost functional, the other is that some systems cannot easily design optimal control in either state space system or generalized system frameworks. To overcome the problems, a novel state derivative space system...
This paper addresses the need of the novel reciprocal state space (RSS) framework to be the supplement of standard state space system in control designs. A model following design based on variable structure control design approach utilizing direct state derivative measurement for an RSS system with nonlinear dead-zone input is proposed. Simulations for both nonlinear dead-zone input and nonlinear...
This paper proposes an anisotropic probabilistic neural network image interpolation (APNNI2). The method used anisotropic Gaussian kernel to improve probabilistic neural network image interpolation (PNNI2) which caused blurring edge. The method is better for sharpness enhancement at edge region. We interpolate slanted-edge image to observe blurring and blocking effect. Finally, we report the performance...
This paper investigates the novel variable structure control (VSC) designs with state derivative feedback in nontraditional reciprocal state space (RSS) framework. Novel switching functions based on the derivative of sliding surface satisfying the approaching condition of sliding mode are introduced. In addition, algorithm of finding upper bound of system uncertainty is developed for robustness analysis...
This paper introduces novel tracking control algorithms for step command utilizing state derivative output feedback and feedforward in reciprocal state space framework. Linear quadratic regulator (LQR) design of deviation system is used to find state derivative output feedback gain and two methods are developed to find feedforward gain to construct tracking controller in reciprocal state space framework...
This article presents a novel method to identify marginal faults in DRAM product via atomic force probing. Failing cells which are difficult to be identified by traditional methods were easily localized by current imaging. In addition, current-voltage curves were useful for judging failure root causes
Introduces a design approach based on a new framework called 'reciprocal state space' framework in which the state derivative can be sensed and fed back directly. By using accelerometers and integrators, information of acceleration, velocity and displacement can be obtained and fedback. The proposed methodology using the reciprocal state space framework is useful in structural control because accelerometers...
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