prompt detection and diagnosis of faults in industrial systems areessential to minimize the production losses, increase the safety of the operatorand the equipment. several techniques are available in the literature to achievethese objectives. this paper presents fuzzy based control and fault detection for a6/4 switched reluctance motor. the fuzzy logic control performs like a classicalproporti...

the aim of this study was using bayesian approach via gibbs sampling (gs) for estimating genetic parameters of production, reproduction and health traits in iranian holstein cows. data consisted of 320666 first- lactation records of holstein cows from 7696 sires and 260302 dams collected by the animal breeding center of iran from year 1991 to 2010. (co) variance components were estimated using ...

the impact of air pollution and environmental issues on public health is one of the main topics studied in manycities around the world. ozone is a greenhouse gas that contributes to global climate. this study was conducted topredict and model ozone of yazd in the lower atmosphere by an adaptive neuro-fuzzy inference system (anfis). allthe data were extracted from 721 samples collected daily ove...

the late detection of the kick (the entrance of underground fluids into oil wells) leads to oil wellblowouts. it causes human life loss and imposes a great deal of expenses on the petroleum industry.this paper presents the application of adaptive neuro-fuzzy inference system designed for an earlierkick detection using measurable drilling parameters. in order to generate the initial fuzzy infere...

an efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. the implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. according to the residual energy, number of the neighbors, and the centrality of each node, the algorithm uses fuzzy inference systems to select cluster head. the alg...

in recent years, the balanced score card (bsc) has been the focus of considerable methodology for strategic cost management in management accounting area since it was originally proposed by kaplan ,r.s. and norton, d.p. in 1992. bsc is an approach to performance measurement based on both financial and nonfinancial information from four perspectives which are called financial, customer, internal...

cloud computing is a new discussion in enterprise it. it has already become popular in terms of distributed technology in some companies. it enables managers to setup and run the intended businesses by avoiding excessive spending on computers, software and hiring expert staff, which proves to be cost effective. cloud computing also helps users pay for the it services without spending massive am...

water inflow is one of the most important challenges in the underground excavations. in addition to inducing working conditions and environmental problems, it decreases the stability and quality of the surrounding rocks. the direct method of measuring rock mass hydraulic conductivity consists of drilling the boreholes and observing the rate of fluid lost in the boreholes. applying this method i...

Many software engineering tasks, such as testing, debugging, and anomaly detection can benefit from the ability to infer a behavioral model of software. Most existing inference approaches assume access code collect execution sequences. In this paper, we investigate black-box scenario, where system under analysis cannot be instrumented in fashion. This scenario is particularly common when it com...