Glue joints are more useful in Aerospace so in this article we presented new method for glue joint. In this method the maximum stresses that occurs at the edges of the bottom glue joint and cause ultimate failure in this type of connection is Decrease and increase the glue joint strength. In this method glue in the area overlapping the discrete and separate column considered Also, the connectio...

background: despite some successful dynamic simulation of self-impact double pendulum (sidp)-as humanoid robots legs or arms- studies, there is limited information available about the control of one leg locomotion. objective   : the main goal of this research is to improve the reliability of the mammalians leg locomotion and building more elaborated models close to the natural movements, by mod...

In this papera switching control strategy for robust stabilization of the 2nd-order non-holonornic 2-DOF SCARA robot Ft21)l is presented. The Ist joint is actuated by a direct drive motor, whereas the 2nd joint is equipped with a brake. The unactuated 2nd joint is controlled by non-collocated linearization and a PDcontroller. A stability region is den”ued and robustness is achieved by exploitin...

This paper presents the robust optimization framework in the modeling language YALMIP, which carries out robust modeling and uncertainty elimination automatically, and allows the user to concentrate on the high-level model. While introducing the software package, a brief summary of robust optimization is given, as well as some comments on modeling and tractability of complex convex uncertain op...

Introduction: A chance constrained optimization problem involves constraints with stochastic data that are required to be satisfied with a pre-specified probability. When the underlying distribution of the stochastic data is not known precisely, an often used model is to require the chance constraints to hold for all distributions in a given family. Such a problem is known as a distributionally...

In parametric modeling of loss distributions in actuarial science, a versatile choice with intermediate tail weight is the lognormal distribution. Surprisingly, however, the fitting of this model using estimators which are at once efficient and robust has not been seriously addressed in the extensive literature. Consequently, for example, typical estimators of the lognormal mean and variance fa...

Joint Sparse Representation for Robust Multimodal Biometrics Recognition Report Title Traditional biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal biometrics recognition have only recently received attent...

This paper describes a robust glottal source estimation method based on a joint source-filter separation technique. In this method, the glottal flow derivative is modelled as the Liljencrants-Fant (LF) model and the vocal tract is described as a time-varying ARX model. Since the joint estimation problem is a multi-parameter nonlinear optimization procedure, we separate the optimization procedur...

Traditional biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal biometrics recognition have only recently received attention. We propose a novel multimodal multivariate sparse representation method for multi...