This paper describes an application of Wireless Sensor Network in monitoring and controlling of energy in residential and commercial buildings. In this project, we design four different electronic Nodes including Sensor Node, Socket Node, Digital Power Meter Interface and Coordinator Node. In the application layer, user friendly software is designed to control and monitor all nodes in the wirel...

the aim of this research is the assessment of the relation between rainfall and large scale synoptically patterns at khorasan razavi province. in this study, using adaptive neuro fuzzy inference system, the rainfall estimation has been done from april to june in the area under study. spring rainfall data including the information of 38 synoptic, climatologic and rain gauge stations from 1970 to...

The purpose of this paper is to present a generalisation of the probabilistic approach to the static analysis of selforganising neural networks that appeared in [1]. In the simplest case the network has two layers: an input and an output layer. An input vector is used to clamp the pattern of activity of the nodes in the input layer, and the resulting pattern of individual ring events of the nod...

A two-layer neural network can be used to approximate any nonlinear function. T h e behavior of the hidden nodes tha t allows the network to do this is described. Networks w i th one input are analyzed first, and the analysis is then extended to networks w i t h mult iple inputs. T h e result of th is analysis is used to formulate a method for ini t ial izat ion o f the weights o f neural netwo...

Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias rooted in sensitive attributes, they ignore other key input of GNNs, namely node, which can introduce since GNNs hinge on neighborhood structures ge...

In this work, the artificial neural networks (ANN) technology was applied to the simulation of oleuropein extraction process. For this technology, a 3-layer network structure is applied, and the operation factors such as  amount  of  flow  intensity  ratio,  temperature,  residence  time,  and  pH  are  used  as  input  variables  of  the network,  whereas  the  extraction  yield  is  considere...