obviously navigation is one of the most complicated issues in mobile robots.intelligent algorithms are often used for error handling in robot navigation. thispaper deals with the problem of inertial measurement unit (imu) error handling byusing extended kalman filter (ekf) as an expert algorithms. our focus is put onthe field of mobile robot navigation in the 2d environments. the main challenge...

The patient activation measure (PAM) is an increasingly popular instrument used as the basis for interventions to improve patient engagement and as an outcome measure to assess intervention effect. However, a PAM score may be calculated when there are missing responses, which could lead to substantial measurement error. In this paper, measurement error is systematically estimated across the ful...

Abstract Due to their relation the linear complementarity problem, absolute value equations have been intensively studied recently. In this paper, we present error bound conditions for equations. Along with bounds, introduce a condition number. We consider general scaled matrix p-norms, as well particular p-norms. discuss basic properties of number, including its computational complexity. vario...

Image fusion is a tool that serves to combine multi sensors images by using advanced image processing techniques. Particularly it serves best in medical diagnosis i.e. computed tomography (CT), magnetic resonance image (MRI), scan provides different types of information, by fusing them we can get accurate information for better clinical diagnosis. Transform domain image fusion methods such as w...

a r t i c l e i n f o A parameter-optimization process (model calibration) is usually required for numerical model applications, which involves the use of an objective function to determine the model cost (model-data errors). The sum of square errors (SSR) has been widely adopted as the objective function in various optimization procedures. However , 'square error' calculation was found to be m...