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• System Identification and Model Validation of Recursive Least Squares Algorithm for Box–Jenkins Systems

  1-6.

  Nasar Aldian Ambark Shashoa

  Abdurrezag S. Elmezughi

  Ibrahim N. Jleta

  Nasser B. Ekreem

  Views:

  216

  In this paper, a new-type recursive least squares algorithm is proposed for identifying the system model parameters and the noise model parameters of Box–Jenkins Systems. The basic idea is based on replacing the unmeasurable variables in the information vectors with their estimates. The proposed algorithm has high computational efficiency because the dimensions of the involved covariance matrices in each subsystem become small. Validation of the model is evaluated using some statistical methods, Which, best-fit criterion and Histogram. Simulation results are presented to illustrate the effectiveness of the proposed algorithm.

• An Algorithm of Avoiding Obstacles with Intelligent Objects

  1-4.

  Şahin Yildirim

  Ebubekir Yasar

  Views:

  77

  In this research a path planning which is the first step of motion planning in robotic applications, away from an obstacle in an environment where exist many obstacles is developed. Different from the algorithms in literature, a path away from an obstacle is planned without determining the configuration free space in a place that contains many different shaped obstacles with the help of intelligent objects that are created object oriented programming(OOP). With the help of this developed algorithm not only the probable paths but also finding the shortest path and correcting it with the help of intelligent objects are evaluated at the same time. This algorithm is so profound that it can form the basic principles of many original Works with the additional in future works.

• Spineline Detection with Image Evaluation

  1-8.

  Petra Balla

  Gabor Manhertz

  Akos Antal

  Views:

  98

  In case of screening and tracking conditions of patients [20] with spinal deformities it is very important to develop an examination method that does not load patinets’ body with harmful radiation. This method is based on the moiré effect. Pictures were taken from patients’ back and information could be obtained about the back’s condition. A computer algorithm is under development that can produce the sagittal line of the spine from moiré images. This program is being tested with Scheuermann disease patients.