This paper presents an artificial neural network based protection scheme for detection and classification of one conductor open faults in parallel transmission line. A 220 kV double circuit transmission line of 100 km length has been simulated using MATLAB® software and its associated Simulink® and Simpowersystem® toolboxes. The fundamental components of current signals measured at relay locati...

This paper argues that the CHREST architecture of cognition can shed important light on developing artificial general intelligence. The key theme is that “cognition is perception.” The description of the main components and mechanisms of the architecture is followed by a discussion of several domains where CHREST has already been successfully applied, such as the psychology of expert behaviour,...

In traditional help desk service centres of manufacturing companies, diagnosis of machine faults relies heavily on the service engineers’ knowledge and experience. This method poses a problem of training and maintaining a pool of expert service engineers. With the advancement of Internet technology and artificial intelligence techniques, it is possible to deliver online customer service support...

Artificial muscles and electric motors found in autonomous robots and prosthetic limbs are typically battery-powered, which severely restricts the duration of their performance and can necessitate long inactivity during battery recharge. To help solve these problems, we demonstrated two types of artificial muscles that convert the chemical energy of high-energy-density fuels to mechanical energ...

Control of estrus is essential for the efficiency of any breeding program in farm animals, artificial insemination, hand mating and prediction of parturition dates. The present study is providing new evidence about determination of silent estrus in Damascus does. Since many D. does do not show any interest toward the male across seasons compared with spontaneous estrus detected by buck goat (BG...

In this paper, the strengths of the checkpoint-orientated modeling in synchronizing cell population are highlighted. Through different experiments, this work shows how to synchronize a population of asynchronous and heterogeneous cells with our proposed model of cell cycle. We will show that the probabilistic modeling undertaken accurately reproduces the dynamics of cell population under specif...

Existence and Learning of Teaching Network for Complex Recurrent Neural Network (CRNN) has been discussed in this piece of research. Issues related to the quaternionic neural network have been taken into consideration. In this paper by considering the special class of CRNN for which existence of attractive periodic solution in teaching network has been obtained and theoretical results has been ...

The Higgs sector of the Minimal Supersymmetric Model (MSSM) is a CPconserving two-Higgs doublet model that depends, at tree-level, on two Higgs sector parameters. In order to accurately determine the phenomenological implications of this model, one must include the effects of radiative corrections. The leading contributions to the one-loop radiative corrections are exhibited; large logarithms a...

Existing metrics for the learning performance of feed-forward neural networks do not provide a satisfactory basis for comparison because the choice of the training epoch limit can determine the results of the comparison. I propose new metrics which have the desirable property of being independent of the training epoch limit. The efficiency measures the yield of correct networks in proportion to...

Let G be a multidigraph with vertices V (G) and arcs A(G). G is balanced if d+G(v) = d − G(v) for every v ∈ V (G). Let ri, rj be the number of cycles in G that include ai, aj ∈ A(G) respectively, and ri ≥ rj. Local quality index of G is defined as the largest ratio ri rj for opposite arcs ai, aj . Global quality index of G is defined as the largest ratio ri rj for distinct arcs ai, aj . In this...