In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...

In this paper, kinematic modeling and singularity analysis of a three DOF redundant parallel manipulator has been elaborated in detail. It is known, that on the contrary to series manipulators, the forward kinematic map of parallel manipulators involves highly coupled nonlinear equations, whose closed-form solution derivation is a real challenge. This issue is of great importance noting that th...

In this paper, kinematic and workspace analysis of 3-DoF planar Parallel Kinematic Machine (PKM) is carried out. The mechanism consists of three legs in which two legs have Prismatic-RevolutePrismatic joints and other leg has Prismatic-Prismatic-Revolute joints, it termed as 2-PRP and 1-PPR planar parallel kinematic machine. By these joints, the mechanism can achieve two translational motions a...

in this work, artificial neural network (ann) was utilized to develop a new model for the predictionof the kinematic viscosity of petroleum fractions. this model was generated as a function oftemperature (t), normal boiling point temperature (tb), and specific gravity (s). in order to developthe new model, different architectures of feed-forward type were examined. finally, the optimumstructure...

This paper will provide the kinematic and dynamic analysis of a lower limb exoskeleton. The forward and inverse kinematics of proposed exoskeleton is performed using Denevit and Hartenberg method. The torques required for the actuators will be calculated using Lagrangian formulation technique. This research can be used to design the control of the proposed exoskeleton. Keywords—Dynamic Analysis...

In recent years, biodiesel has been considered as a good alternative of diesel fuels. Density and viscosity are two important properties of these fuels. In this study, density and kinematic viscosity of biodiesel-diesel blends were estimated by using artificial neural network (ANN). A three-layer feed forward neural network with Levenberg-Marquard (LM) algorithm was used for learning empirical ...

Background: People with functional ankle instability are deficient in various factors that need to overcome all these problems via a multifaceted and combined exercises. Therefore, the main purpose of this semi- research is to study the effect of the comprehensive combined program on kinematic of lower limb in active men suffering from chronic ankle instability. Methods: The subjects of this r...

In this research, Artificial Neural Networks (ANNs) have been used as a powerful tool to solve the inverse kinematic equations of a parallel robot. For this purpose, we have developed the kinematic equations of a Tricept parallel kinematic mechanism with two rotational and one translational degrees of freedom (DoF). Using the analytical method, the inverse kinematic equations are solved for spe...

OBJECTIVE: To evaluate the usefulness of combining static and kinematic magnetic resonance imaging in the evaluation of the femoropatellar joint. MATERIALS AND METHODS: Twenty healthy volunteers (40 knees) and 23 patients (43 knees) were submitted to both static and kinematic magnetic resonance imaging on a 1.5 tesla whole-body magnetic resonance scanner. The knees were positioned at 30o flexio...

This study was designed to analyze the sperm kinematic and morphometric subpopulations in the different fractions of the ejaculate in normozoospermic men. Ejaculates from eight normozoospermic men were collected by masturbation in three fractions after 3-5 days of sexual abstinence. Analyses of sperm motility by computer-assisted sperm analysis (CASA-Mot), and of sperm morphometry by computer-a...