In this work, artificial neural network (ANN) was utilized to develop a new model for the prediction of the kinematic viscosity of petroleum fractions. This model was generated as a function of temperature (T), normal boiling point temperature (Tb), and specific gravity (S). In order to develop the new model, different architectures of feed-forward type were examined. Finally, the optimum struc...

In general, the identification and verification are done by passwords, PIN number, etc., which can be easily cracked by hackers. Biometrics is a powerful and unique tool based on the anatomical and behavioural characteristics of the human beings in order to prove their authentication. Security is the most important thing in the world. Password is used for security, but it does not provide the e...

Jianhao Zhang, Jinda Cai Numerical Control And Display Lab, USST, 200093 ShangHai,China Emails:[email protected] Abstract:A method of compensation is proposed based on the error model with the robot’s parameters of kinematic structure and the joint angle. Using the robot kinematics equation depending on D-H algorithm, a kinematic error model is deduced relative to the end actuator of the robot, ...

Biometric authentication is utilized in software engineering applications as a type of recognizable and access control of the particular person using their behavioral characteristics. Several biometric features such as fingerprint, palm veins, recognition, palm, hand geometry, iris recognition, DNA, and so on, used for authenticating the user identities. From the various biometric features, the...

This paper presents a novel combination of local-local information for an efficient finger-knuckle-print (FKP) based recognition system which is robust to scale and rotation. The non-uniform brightness of the FKP due to relatively curvature surface is corrected and texture is enhanced. The local features of the enhanced FKP are extracted using the scale invariant feature transform (SIFT) and th...

The present paper shows a systematic approach to modeling and control mobile manipulators that transforms the problem to the modeling of a stationary manipulator stationary with nonholonomic kinematic constraints on the joints. The task-space control consists in an internal compensator of the dynamics of the mobile manipulator and an external proportional–derivative (PD) control with feed-forwa...

In this paper we consider the optimal control problem governed by a time-dependent variational inequality arising in quasistatic plasticity with linear kinematic hardening. In the first part of the paper we address certain continuity properties of the forward operator, which implies the existence of an optimal control. Moreover, a discretization in time is derived and we show that every local m...

In this paper we consider an optimal control problem governed by a time-dependent variational inequality arising in quasistatic plasticity with linear kinematic hardening. We address certain continuity properties of the forward operator, which imply the existence of an optimal control. Moreover, a discretization in time is derived and we show that every local minimizer of the continuous problem...

Worldwide, the determination of coordinates from a Global Navigation Satellite System (GNSS) survey (in Network Real Time Kinematic, Precise Point Positioning, or static mode) has been analysed in several scientific and technical applications. Many those have carried out to compare Positioning (PPP), Kinematic (NRTK), modes’ solutions, usually, using latter as true most plausible solution. This...

State-of-the-art robotic perception systems have achieved sufficiently good performance using Inertial Measurement Units (IMUs), cameras, and nonlinear optimization techniques, that they are now being deployed as technologies. However, many of these methods rely significantly on vision and often fail when visual tracking is lost due to lighting or scarcity of features. This paper presents a sta...