Quantum-dot cellular automata (QCA) are an emerging technology and a possible alternative for semiconductor transistor based technologies. A novel fault-tolerant QCA full-adder cell is proposed: This component is simple in structure and suitable for designing fault-tolerant QCA circuits. The redundant version of QCA full-adder cell is powerful in terms of implementing robust digital functions. ...

parametric design optimization of an automotive body crashworthiness improvement is presented. the thicknesses of parts are employed as design variables for optimization whose objective is to increase the maximum deceleration value of the vehicle center of gravity during an impact. using the taguchi method, this study analyzes the optimum conditions for design objectives and the impact factors ...

the full adders (fas) constitute the essential elements of digital systems, in a sense that they affect the circuit parameters of such systems. with respect to the mosfet restrictions, its replacement by new devices and technologies is inevitable. qca is one of the accomplishments in nanotechnology nominated as the candidate for mosfet replacement. in this article 4 new layouts are presented fo...

In the present work, multidimensional modeling of open-cycle process of OM355 engine was developed. Calculations for computational mesh were carried out. The results of the model were validated by experimentally measured in-cylinder pressure and the good agreement between calculations and measurements approved the trustworthy of numerical code. Results included pressure, temperature, emissi...

Improvement of the launch phase of a jet powered Unmanned Aerial Vehicle (UAV) with Jet Assisted Take Off (JATO), has been the subject of attention in the UAV industry. Use of flight simulation tools reduces the risk and required some amount of flight testing for complex aerospace systems. Full nonlinear equations of motion are used to study and simulate this maneuver and three case studies of ...

The significant increase in using reservoir simulation models poses significant challenges in the design and calibration of models. Moreover, conventional model calibration, history matching, is usually performed using a trial and error process of adjusting model parameters until a satisfactory match is obtained. In addition, history matching is an inverse problem, and hence it may have non-uni...

the growth and development of crop models such as aquacrop model is the most important tools for decision-making and predicting crop yields. the aim of this research was to assess aquacrop model for simulating spatial variability of forage maize yield along the furrow. four treatments for calibration and validation of the model were investigated based on the percentage of supplied crop water re...