The suspension basically comprises of a linkage which is a 3D mechanism SRRS (Spherical, Revolute, Revolute, Spherical). On the basis of six included angles of this four bar chain, position of kingpin axis is determined. Once the position of kingpin axis is decided corresponding steering parameters can be determined. In such complex phenomenon involving non-linear kinematics where validation of...

This paper qualitatively explores the performance limits, i.e., energy vs. frequency, of adiabatic logic circuits based on nanoelectromechanical (NEM) switches. It is shown that the contact resistance and the electro-mechanical switching behavior of the NEM switches dictate the performance of such circuits. Simplified analytical expressions are derived based on a 1-dimensional reduced order mod...

this study is devoted to the formulation of the network design problem of one-way streets and the application of simulated annealing (sa) algorithm to solve this problem for a large real network. it discusses some points of views on one-way street networks, the objective function used for design, the way in which design constraints may be considered, and the traffic problems concerning one-way ...

Effective complex permittivity measurements of materials are important in microwave engineering and microwave chemistry. The BP (Back Propagation) neural network computational module has been applied to microwave technology and becomes a useful tool recently. A neural network can be trained to learn the behavior of an effective complex permittivity of material under microwave irradiation in an ...

Impedance control is one of the most effective control methods for interaction between a robotic manipulator and its environment. Robot impedance control regulates the response of the manipulator to contact and virtual impedance control regulates the manipulator’s response before contact. Although these impedance parameters may be regulated using neural networks, conventional methods do not con...

realistic mobility models can demonstrate more precise evaluation results because their parameters are closer to the reality. in this paper a realistic fuzzy mobility model has been proposed. this model has rules which are changeable depending on nodes and environmental conditions. it seems that this model is more complete than other mobility models.after simulation, it was found out that not o...

In this paper, we propose EasiTest, a multi-radio testbed for heterogeneous wireless sensor networks (WSN). Two types of sensor nodes, specifically, high speed multi-radio node (EZ271) and low speed single radio node (EZ521) are developed. An administration platform is provided to monitor and control the testbed. EasiTest enjoys high flexibility, powerful processing capability and ease of expan...

Broadband microstrip filter operating within 1.5GHz bandwidth at UHF range for RF communication systems has been designed, simulated, and implemented using a practical network parameter method. The design has been performed using the network parameter method with ABCD parameters, which simplified the analysis significantly. The analytical, simulated and measured results have been compared and e...

Different works have shown that the combination of multiple loss functions is beneficial when training deep neural networks for a variety of prediction tasks. Generally, such multi-loss approaches are implemented via a weighted multi-loss objective function in which each term encodes a different desired inference criterion. The importance of each term is often set using empirically tuned hyper-...