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Showing 2 results for Attractor
K. Kavousi, A. R. Hamidi Zahedani,
Volume 10, Issue 3 (9-2019)
Abstract
The large biological networks increase computational complexity during the execution of the algorithm and create constraints for working with such networks. By preserving the behavior and output of the main network, complexity is reduced, and the process of obtaining results and analyzing the network is quickly accomplished. Using mathematical and computational tools to simplify the biology networks provides better results in various sciences, especially in applications of biological sciences. Boolean modelling and finding adsorbents in biological networks will make it easy to display and analyze. This study was carried out through Boolean modelling on the Abscise Acid signal transduction network. Abscise Acid is one of the most important and effective regulators in plant growth. Our method started from an initial state and according to the rules of updating, found network adsorbents. Our proposed method, in contrast to other methods, will be able to simultaneously detect the absorbing points while plotting the state transition graph. In this way, finding all the system adsorbents is guaranteed.
Volume 14, Issue 9 (12-2014)
Abstract
In this work, adhesion system for wall climbing robots, known as "vortex attractor", has been studied analytically, numerically and experimentally. Vortex attractor system consists of the following components: vortex cup, centrifugal fan and an electrical motor. In this design, vortex flow which is generated at the fan impeller eye produces a considerable suction pressure. Knowing this fact that the air flow is trapped inside the cup, the suction force increases and also power consumption is reduced. Firstly, an attractor system is manufactured considering necessary measurement facilities. The effect of different parameters such as rotational speed and gap between system and surface on system performance is investigated. Numerical simulation of vortex attractor system is performed using CFX software. The numerical results were verified through grid independency and validated with comparison with those obtained from measurements. In the next step analytical study is carried out using Rankine vortex. Experimental results show that as gap increases, power consumption increases. In the case of vortex attractor stick to surface, repulsive force is observed. Analytical results show that generated force and pressure are proportional to square of rotational speed.
