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Electric actuators are an example of 2-PC ball valve being used and calculated brightness for each node. Each electric actuators node is arranged at regular intervals and communicates with neighboring nodes to compute the control signal in a precise manner. In such kind of electric actuators model, there is no central server collecting electric actuators data and computing control signals so it is necessary to repeat the information updates as well as the communications of the control signals between neighboring electric actuators nodes. It has been shown that the two dimensional electric actuators node arrangement can in an effective manner handle the signals that need to be propagated in the overall electric actuators network for activation.
According to scientific research results, to simplify the problem, electric actuators nodes might be arranged at regular intervals to form a mesh network so that the circle will eventually represent the communication range of neighboring nodes. Thus the electric actuators nodes are not only capable of serving to detect people and become active when they communicate their signals to neighboring 2-PC ball valve nodes. What is more, the electric actuators can be more active by receiving the signals, and then all the nodes become active. In this way, it is a truth universally acknowledged that the electric actuators control signals can be computed as they propagate through the network with the help of some communication and computation iterations.
Another reason for this is that each electric or pneumatic actuators node provides the optimal control signal for environment control while in the function method, there are large values in the diagonal elements and large 2-PC ball valve parameter is usually cost effective. Therefore, we might as well use a small value, which will result in the slow computation or we may apply a larger figure to equation than with the function method since we have a smaller 2-PC ball valve.
If we can examine the decentralized algorithm, then the computation of the electric actuators control signals may be fast and precise. Then we can implement the electric actuators rules by adjusting the control electronic components such as lights. In this electric actuators experiment, motes are assumed to detect occupancy by using the sensors and control lights as long as the nodes are arranged on the ceiling in a shared workplace. By doing so, the lights can be controlled in a smart manner depending on the response of the occupancy electric actuators. Basically, the occupied areas must be bright and the unoccupied areas may be dark since the uniformity of brightness may be unacceptable to the electric actuators occupants.