نتایج جستجو برای: kinematic problem
تعداد نتایج: 902202 فیلتر نتایج به سال:
To my family, friends and love Blazing gratefulness From every nook and cranny of my fiery beating heart. It is with blazing gratefulness that I impart. That the winding paths I have travelled, and uncharted waters on which I am yet to embark. With south of me the splendor of the white Alps and north the boundless flat orange horizons that ignited my spark. All of this would merely be but a smo...
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 presents improved solution methods for kinematic wave traffic problems with concave flow-density relations. As explained in part I of this work, the solution of a kinematic wave problem is a set of continuum least-cost paths in space-time. The least cost to reach a point is the vehicle number. The idea here consists in overlaying a dense but discrete network with appropriate costs in...
■ WA02 Queens Quay I CC Lev. 1 Applications of Metaheuristics in Vehicle Routing Cluster: Optimization/Metaheuristic Invited Session Chair: Michel Gendreau, CIRRELT/University of Montreal, C.P. 6128, succ. Centre-ville, Montreal, QC, H3C 3J7, Canada, [email protected] 1 SR-GCWS-CS: A Simulation-Based Methodology to Assist Decision-Makers in Real Vehicle Routing Problem Francisco Arcelu...
Parking is recognized as the most difficult task among the driving tasks. Through this topic Articulated vehicle parking problem is more difficult than passenger car, because under the aspect of control theory, the vehicle and environmental nonlonomic constraint, nonlinear and time varying kinematic equations of motion, they require a sophisticated handling. In this paper Automatic Parking of A...
Aimed at solving the misplaced body trajectory problem caused by the rolling of semi-round rigid feet when a robot is walking, a legged kinematic trajectory correction methodology based on the Least Squares Support Vector Machine (LS-SVM) is proposed. The concept of ideal foothold is put forward for the three-dimensional kinematic model modification of a robot leg, and the deviation value betwe...
We propose a new approach to solving the point-to-point inverse kinematics problem for highly redundant manipulators. It is inspired by recent motion planning research and explicitly takes into account constraints due to joint limits and self-collisions. Central to our approach is the novel notion of kinematic roadmap for a manipulator. The kinematic roadmap captures the connectivity of the con...
Today, Robotic is an essential technology from the entertainment to the industry. Thousands of articles have been published on Robotic. There are various types of robots such as parallel robots, industrial robots, mobile robots, autonomous mobile robots, health-care robots, military robots, entertainment robots, nano robots and swarm robots. So, this variety brings a lot of problems in Robotic....
We present inverse kinodynamics (IKD), an animator friendly kinematic workflow that both encapsulates short-lived dynamics and allows precise space-time constraints. Kinodynamics (KD), defines the system state at any given time as the result of a kinematic state in the recent past, physically simulated over a short temporal window to the present. KD is a well suited kinematic approximation to a...
Using Artificial Neural Network for Estimation of Density and Viscosities of Biodiesel–Diesel Blends
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 ...
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