This paper deals with the optimization of coaxial filters using Tuning Space Mapping (TSM) method implemented to CST environment. The function of fine and coarse model and their link between each other is explained. In addition, supporting macros programmed in VBA language, which are used for maximum efficiency of the optimization from the user ́s point of view, are mentioned. Macros are program...

This paper presents an adaptive and robust algorithm for automatic corner detection. Ordinary camera calibration methods require that a set of feature points – usually, corner points of a chessboard type of pattern – be presented to the camera in a controlled manner. On the other hand, the proposed approach automatically locates the feature points even in the presence of cluttered background, c...

according to variety of accessible hydrological models, evaluateing the efficiency of models for different management objectives are essential. therefore, models with simple structure and using minimal input that can provide an acceptable result can serve as an effective tool to watershed managers. hence, the objective of this research is to evaluate the relative performances of the lumped conc...

This paper presents a new method of value identification of pointer-type pressure gauges based on machine vision, by which an automatic calibration system can be designed. Hough Transformation, image subtraction and image thinning technique are employed to obtain the coordinate of the pointer rotating center. Through removing the pixels data outside of the circumference of the pointer in the si...

Lifetime from: 2013 Short description: Automatic calibration of ominidirectional, perspective camera and lidar images is important for 3D model construction, robot navigation and environment mapping. The proposed methodology is without any specific constraint on source of data and the calibration can be performed using a single pair of lidar-camera image without any implicit correspondence betw...

Lifetime from: 2013 Short description: Automatic calibration of ominidirectional, perspective camera and lidar images is important for 3D model construction, robot navigation and environment mapping. The proposed methodology is without any specific constraint on source of data and the calibration can be performed using a single pair of lidar-camera image without any implicit correspondence betw...

Lifetime from: 2013 Short description: Automatic calibration of ominidirectional, perspective camera and lidar images is important for 3D model construction, robot navigation and environment mapping. The proposed methodology is without any specific constraint on source of data and the calibration can be performed using a single pair of lidar-camera image without any implicit correspondence betw...

This study explored the application of a multi-objective evolutionary algorithm (MOEA) and Pareto ordering in the multiple-objective automatic calibration of the Soil and Water Assessment Tool (SWAT). SWAT was calibrated in the Calapooia watershed, Oregon, USA, with two different pairs of objective functions in a cluster of 24 parallel computers. The non-dominated sorting genetic algorithm (NSG...

Lifetime from: 2013 Short description: Automatic calibration of ominidirectional, perspective camera and lidar images is important for 3D model construction, robot navigation and environment mapping. The proposed methodology is without any specific constraint on source of data and the calibration can be performed using a single pair of lidar-camera image without any implicit correspondence betw...

Lifetime from: 2013 Short description: Automatic calibration of ominidirectional, perspective camera and lidar images is important for 3D model construction, robot navigation and environment mapping. The proposed methodology is without any specific constraint on source of data and the calibration can be performed using a single pair of lidar-camera image without any implicit correspondence betw...