Luke K. Wang

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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)
OBJECTIVE To assess outcomes of percutaneous transjejunal biliary intervention (PTJBI) in terms of success and effectiveness in patients with a Roux-en-Y hepaticojejunostomy for benign biliary strictures and stones. METHODS Clinical and radiographic records of 63 patients with a Roux-en-Y choledochojejunostomy or hepaticojejunostomy for benign disease who(More)
Sensor network basically has many intrinsic limitations such as energy consumption, sensor coverage and connectivity, and sensor processing capability. Tracking a moving target in clusters of sensor network online with less complexity algorithm and computational burden is our ultimate goal. Particle filtering (PF) technique, augmenting handoff and K-means(More)
The methods for a large space cleaning task are usually using human-operated cleaning vehicle or brooms, even in the period of mid-night. In addition to hiring a large amount of people (usually senior), the over-work issue during mid-night period is another concern to the cleaning company. Therefore, an omni-directional mechanism/robot suitable for(More)
Kalman filter using an operator formulation for a moving object in a sequence of images during the radiotherapy for tracking respiratory subject is presented. the algorithm of position processing with a high-accuracy position estimation technique produced real-time and fast position calculations. the position of a few pixels of the moving object because of(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)
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)
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)
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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