480 research outputs found

    Training a Feed-forward Neural Network with Artificial Bee Colony Based Backpropagation Method

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    Back-propagation algorithm is one of the most widely used and popular techniques to optimize the feed forward neural network training. Nature inspired meta-heuristic algorithms also provide derivative-free solution to optimize complex problem. Artificial bee colony algorithm is a nature inspired meta-heuristic algorithm, mimicking the foraging or food source searching behaviour of bees in a bee colony and this algorithm is implemented in several applications for an improved optimized outcome. The proposed method in this paper includes an improved artificial bee colony algorithm based back-propagation neural network training method for fast and improved convergence rate of the hybrid neural network learning method. The result is analysed with the genetic algorithm based back-propagation method, and it is another hybridized procedure of its kind. Analysis is performed over standard data sets, reflecting the light of efficiency of proposed method in terms of convergence speed and rate.Comment: 14 Pages, 11 figure

    Mining Frequent Itemsets Using Genetic Algorithm

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    In general frequent itemsets are generated from large data sets by applying association rule mining algorithms like Apriori, Partition, Pincer-Search, Incremental, Border algorithm etc., which take too much computer time to compute all the frequent itemsets. By using Genetic Algorithm (GA) we can improve the scenario. The major advantage of using GA in the discovery of frequent itemsets is that they perform global search and its time complexity is less compared to other algorithms as the genetic algorithm is based on the greedy approach. The main aim of this paper is to find all the frequent itemsets from given data sets using genetic algorithm

    A new (k,n) verifiable secret image sharing scheme (VSISS)

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    AbstractIn this paper, a new (k,n) verifiable secret image sharing scheme (VSISS) is proposed in which third order LFSR (linear-feedback shift register)-based public key cryptosystem is applied for the cheating prevention and preview before decryption. In the proposed scheme the secret image is first partitioned into several non-overlapping blocks of k pixels. Every k pixel is then used to form m=⌈k/4⌉+1 pixels of one encrypted share. The original secret image can be reconstructed by gathering any k or more encrypted shared images. The experimental results show that the proposed VSISS is an efficient and safe method

    An Improved Gauss-Newtons Method based Back-propagation Algorithm for Fast Convergence

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    The present work deals with an improved back-propagation algorithm based on Gauss-Newton numerical optimization method for fast convergence. The steepest descent method is used for the back-propagation. The algorithm is tested using various datasets and compared with the steepest descent back-propagation algorithm. In the system, optimization is carried out using multilayer neural network. The efficacy of the proposed method is observed during the training period as it converges quickly for the dataset used in test. The requirement of memory for computing the steps of algorithm is also analyzed.Comment: 7 pages, 6 figures,2 tables, Published with International Journal of Computer Applications (IJCA

    DUAL WIDEBAND AND HIGH GAIN MICROSTRIP ANTENNA FOR WIRELESS SYSTEM

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    In this paper dual wideband high gain circular shaped microstrip antenna with modified ground plane is presented for wireless communication systems. The overall dimension of the proposed antenna is 50 x 40 x 1.6 mm3. The radiating element consists of circular shaped patch which is excited by microstrip feed-line printed on FR4 epoxy substrate. The ground plane is on the other side of the substrate having a rectangular ring shape to enhance the peak gain of the antenna. The proposed antenna exhibits two wide fractional bandwidths (based on ≤ -10 dB) of 61.1% (ranging from 2.0 to 3.8 GHz, centred at 2.88 GHz) and 53.37% (ranging from 5.48 to 9.6 GHz, centred at 7.44 GHz). The measured peak gain achieved is 8.25 dBi at 8.76 GHz. The measured impedance bandwidth and gain suffice all the commercial bands of wireless systems such as 4G LTE band-40, Bluetooth, Wi-Fi, WLAN, WiMAX, C-band, and X-band. The measured results are experimentally tested and verified with simulated results. A reasonable agreement is found between them

    TOOL PATH PLANNING FOR MACHINING FREE-FORM SURFACES

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    This paper is about new iso-parametric tool path planning for machining trimmed free-form surfaces. The trimmed surface has been re-parameterized by two different parameterization techniques, namely, the partial differential equation method and the newly developed boundary interpolation method. The efficiency of the scheme has been measured in terms of path length and computational time needed for machining some typical surfaces. Conventionally, the forward-step is calculated by approximating the cutting curve with the osculating circle. The actual tolerance of the forward-step may go beyond the prescribed limit due to the circular arc approximation. In this study, the actual cutting curve has been considered to keep the tolerance in the forward-step below the prescribed value. The new algorithm has been tested on some typical surfaces and the results show a significant improvement in the surface profile in terms of tolerance of the forward-step

    Do quarkonia thermalize at the LHC?

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    We analyze the relative yields of different bottomonia and charmonia states produced in Pb-Pb, p-Pb and high multiplicity p-p collisions at LHC, within a semi-classical grand canonical ensemble approach. The underlying assumption is the early thermalization and subsequent freezeout of these heavy hadrons resulting in their chemical freezeout at a temperature of approximately 230230~MeV, significantly higher than that of light and strange hadrons. The systematic dependence of the freezeout temperature on the collision centrality is also investigated in details.Comment: 10 pages, 5 figures. Some typos correcte

    PUO with multiple abscesses due to Burkholderia pseudomallei: a case report

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    Melioidosis is an infectious disease of humans and animals caused by Burkholderia pseudomallei, previously called as Pseudomonas pseudomallei. We reported a case of a 14 year old female patient presented with fever for last 3 months and multiple swellings of joints, misdiagnosed as M.D.R. T.B. But after proper evaluation diagnosed as multiple joint abscess due to Pseudomonas pseudomallei mimiking tuberculosis. Sporadic cases of melioidosis from various parts of South Indiaand Western costal India have been reported, but remained underdiagnosed due to lack of awareness

    A QUAD-BAND MONOPOLE ANTENNA WITH DEFECTED GROUND PLANE FOR L-BAND/WIMAX/WLAN APPLICATIONS

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    In this paper, a planar quad band monopole antenna excited by the microstrip line feed is proposed for L-band, WiMAX and WLAN applications. The proposed antenna is composed of radiating element in the form of L, U and inverted L-shaped strips on the top surface of substrate and defected ground plane on the bottom surface. By adjusting the length of the strips, the resonant frequencies can be reformed individually. The overall dimension of the prototype of the proposed quad band antenna is 50x35x1.6mm³. From the measured results it is found that the proposed antenna has exhibited four distinct operating bands (return loss less than -10dB) of 170MHz (from 1.16 to 1.33GHz), 550MHz (from 1.53 to 2.08GHz), 470MHz (from 2.43 to 2.90GHz) and 3930MHz (from 3.77 to 7.70GHz). First two bands operated in L-band, third band can be used for WiMAX lower band (2.5GHz) and bandwidth of fourth band may be used for WLAN (5.2/5.8 GHz) and WiMAX (5.5GHz) applications. It is also observed that the proposed antenna has good radiation patterns and acceptable gains over the whole operating bands. The design process and parametric analyses are explained with the help of simulation software HFSS v.11
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