Current Issue : April - June Volume : 2013 Issue Number : 2 Articles : 6 Articles
A hybrid power series and artificial bee colony algorithm (PS-ABC) method is applied to solve a system of nonlinear differential\r\nequations arising from the distributed parameter model of multiwalled carbon nanotube (MWCNT) cantilevers in the vicinity of\r\nthin and thick graphite sheets subject to intermolecular forces. The intermolecular forces are modeled using van derWaals forces. A\r\ntrial solution of the differential equation is defined as sum of two polynomial parts. The first part satisfies the boundary conditions\r\nand does contain two adjustable parameters. The second part is constructed as not to affect the boundary conditions, which\r\ninvolves adjustable parameters. The ABC method is applied to find adjustable parameters of trial solution (in first and second\r\npart). The obtained results are compared with numerical results as well as analytical solutions those reported in the literature.\r\nThe results of the presented method represent a remarkable accuracy in comparison with numerical results. The minimum initial\r\ngap and the detachment length of the actuator that does not stick to the substrate due to the intermolecular forces, as important\r\nparameters in pull-in instability of MWCNT actuator, are evaluated by obtained power series....
This paper studies the effect of zinc oxide arrester (ZnO) and neutral earth resistance on controlling nonconventional oscillations\r\nof the unloaded power transformer. At first, ferroresonance overvoltage in the power system including ZnO is investigated. It\r\nis shown this nonlinear resistance can limit the ferroresonance oscillations but it cannot successfully control these phenomena.\r\nBecause of the temperature dissipation of ZnO, it can withstand against overvoltage in a short period and after that ferroresonance\r\ncauses ZnO failure. By applying neutral earth resistance to the system configuration, mitigating ferroresonance has been increased\r\nand chaotic overvoltage has been changed to the smoother behavior such as fundamental resonance and periodic oscillation. The\r\nsimulation results show that connecting the neutral resistance exhibits a great mitigating effect on nonlinear overvoltage....
It is important to accurately estimate rainfall for effective use of water resources and optimal planning of water structures. For this\r\npurpose, the models were developed to estimate rainfall in Isparta using the data-mining process. The different input combinations\r\nhaving 1-, 2-, 3- and 4-input parameters were tried using the rainfall values of Senirkent, Uluborlu, E?girdir, and Yalvac�¸ stations\r\nin Isparta. The most appropriate algorithm was determined as multilinear regression among the models developed with various\r\ndata-mining algorithms. The input parameters of Multilinear Regression model were the monthly rainfall values of Senirkent,\r\nUluborlu and E?girdir stations. The relative error of this model was calculated as 0.7%. It was shown that the data mining process\r\ncan be used in estimation of missing rainfall values....
We study the problem of detecting and localizing objects in still, gray-scale images making use of the part-based representation\r\nprovided by nonnegative matrix factorizations. Nonnegative matrix factorization represents an emerging example of subspace\r\nmethods, which is able to extract interpretable parts from a set of template image objects and then to additively use them for\r\ndescribing individual objects. In this paper, we present a prototype system based on some nonnegative factorization algorithms,\r\nwhich differ in the additional properties added to the nonnegative representation of data, in order to investigate if any additional\r\nconstraint produces better results in general object detection via nonnegative matrix factorizations....
In the previous work, it was demonstrated that one can effectively employ CTRNN-EH (a neuromorphic variant of EH method)\r\nmethodology to evolve neuromorphic flight controllers for a flapping wing robot. This paper describes a novel frequency groupingbased\r\nanalysis technique, developed to qualitatively decompose the evolved controllers into explainable functional control blocks.\r\nA summary of the previous work related to evolving flight controllers for two categories of the controller types, called autonomous\r\nand nonautonomous controllers, is provided, and the applicability of the newly developed decomposition analysis for both\r\ncontroller categories is demonstrated. Further, the paper concludes with appropriate discussion of ongoing work and implications\r\nfor possible future work related to employing the CTRNN-EH methodology and the decomposition analysis techniques presented\r\nin this paper....
With the rapidly growing and wide spread use of computer networks the number of new threats has grown extensively.The researchers proposed a number of techniques such as (firewall, encryption) to prevent such penetration and protect the infrastructure of computers, but with this, the intruders managed to penetrate the computers.Network Intrusion Detection (NID) is the process of identifying network activity that can lead to the compromise of a security policy. In this paper, we will look at four intrusion detection approaches, which include Improved Self Adaptive Bayesian Algorithm, Data Mining, Machine Learning, and Genetic Algorithm. To overcome issue elated to dependency, detection rate, time for that proposed system is very effective. It is based on Neuro fuzzy logic....
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