IDR @ IIT Bhubaneswar
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Item A recurrent neural network approach to pulse radar detection(2009) Sailaja A.; Sahoo A.K.; Panda G.; Baghel V.Matched filtering of biphase coded radar signals create unwanted sidelobes which may mask some of the desired information. This paper presents a new approach for pulse compression using recurrent neural network (RNN). The 13-bit and 35-bit barker codes are used as input signal codes to RNN. The pulse radar detection system is simulated using RNN. The results of the simulation are compared with the results obtained from the simulation of pulse radar detection using Multilayer Perceptron (MLP) network. The number of input layer neurons is same as the length of the signal code and three hidden neurons are taken in the present systems. The Simulation results show that RNN yields better signal-to-sidelobe ratio (SSR) and doppler shift performance than neural network (NN) and some traditional algorithms like auto correlation function (ACF) algorithm. It is also observed that RNN based system converges faster as compared to the MLP based system. Hence the proposed RNN provides an efficient means for pulse radar detection.Item Simulation of granulation index and its utility for predicting percentage granules in UASB reactors(2009) Bhunia P.; Ghangrekar M.M.This paper researches on the development of a dimensionless number for predicting percentage granulation in Upflow Anaerobic Sludge Blanket (UASB) reactors for treating biodegradable wastewaters. A Biomass Granulation Index (BGI) has been framed based on the experimental work conducted using laboratory scale UASB reactors. This index depends on mixing in the sludge bedItem Microstructural evolution and hardness of in situ Al-4.5Cu-5TiB2 composite processed by multiple roll passes in mushy state(2009) Siddhalingeshwar; I.G. [et al.]In situ Al-4.5Cu-5TiB2 composite has been processed through stir casting methodItem Does Judgment Feedback Affect Visual-Field Superiority as a Function of Stimulus Structure and Content?(2009) Basu AnamitraVisual-field advantage was envisaged as a function of presentation mode (unilateral, bilateral), stimulus structure (word, face), and stimulus content (emotional, neutral) in two conditions, with and without feedback of judgment. Split visual-field paradigm was taken into account with recognition accuracy and response latency as the dependent variables. Stimuli were significantly better recognized in left visual-field than in right visual-field. Unilaterally, rather than bilaterally, presented stimuli were significantly better recognized. Emotional content were intensely recognized than neutral content. Analysis using multivariate ANOVA suggested that words as well as faces were recognized better without judgment feedback condition as compared to with judgment feedback condition; however these stimuli were judged with significantly less response latency following judgment feedback.Item Comparative performance evaluation of multiobjective optimization algorithms for portfolio management(2009) Mishra S.K.; Meher S.; Panda G.; Panda A.The objective of portfolio optimization is to find an optimal set of assets to invest onItem Development of a Novel Improved Differential Approximation (NIDA) for analysis of Combined Conduction-Radiation heat transfer (CCR) in a two-dimensional enclosure with participating medium: An experimental validation(2009) Mallik R.K.; Mahapatra S.K.; Sarkar A.This numerical investigation addresses the applicability and adaptability of the novel improved differential approximation (NIDA) for combined conduction-radiation heat transfer (CCR) in a two-dimensional enclosure with radiatively participating gray medium. The NIDA is developed by blending the spherical harmonic method with the ray emission model and the zonal method. The first-order spherical harmonicsItem Role of Human Factors in Agile Supply Chains(2009) Barve; A.; Kanda; A.; Shankar; R.It is becoming impossible to remove or ignore sources of turbulence and volatility in markets. Hence supply chain managers must accept uncertaintyItem SPR-based infrared detection of aqueous and gaseous media with silicon substrate(2009) Jha; R. and Sharma; A. K.A high-accuracy surface plasmon resonance (SPR) sensor with silicon substrate and Al-Au bimetal is proposed for aqueous and gaseous detection in infrared (IR) with a single probe. Angular interrogation method is used for SPR excitation using infrared source in the Kretschmann-Reather configuration. Sensor's performance is analyzed in terms of intrinsic sensitivity (IS) that includes the width and shift of SPR curve for given refractive index of sensing medium. In a broadband IR range of 1200 nm (700 nm-1900 nm)Item Improvement of machine foundations using reinforcement(2009) Haldar S.; Sivakumar Babu G.L.The main objective in the design of a machine foundation is to restrict the maximum amplitude of the foundation motion to within the safety limits. When the underlying soil is poorItem Cornerity in binary image using neural network(2009) Ojha A.K.; Mallick C.; Mallick D.Image formation is an important features in Neural Network. But the detection of corner position for the formation of binary gray image has an important aspect in the present day.In this present paper we have made an attempt to develope network model to detect corner points in the polygonal surfaces in the formation of binary grary images.In the network model a pair of nodes corresponds to a pixel in the image. The output of the pair of nodes together represents the corner vector of the corresponding pixel by using neighborhood information.After the network dynamics settles to stable state the dominant points are obtained by finding out the local maxima in the cornerities.The theoretical investigations are made to study the stability and convergence of the network for the detection of corner position in image formation.The dynamics of the network is then extended to accept the cornering information to form binary images by embedding the edge strength information. A grace performance by the network is observed for the binary images. � SAS International Publications.Item Silver(I)-catalyzed dual activation of propargylic alcohol and aziridine/azetidine: Triggering ring-opening and endo-selective ring-closing in a cascade(2009) Bera M.; Roy S.(Chemical Equation Presented) [Ag(COD)2]PF6 catalyzes the reaction between propargyl alcohols and N-tosylaziridines/azetidines leading to a diverse range of N,O-heterocyclesItem Efficient sales forecasting using PSO based adaptive ARMA model(2009) Majhi R.; Mishra S.; Majhi B.; Panda G.; Rout M.The paper proposes a new hybrid forecasting model using auto regressive moving average (ARMA) as basic architecture and particle swarm optimization (PSO) as learning algorithm. These two combinations have yielded an efficient prediction model for retail sales volumes. To facilitate comparison ARMAItem Forecasting of retail sales data using differential evolution(2009) Majhi; R.[et al.]The paper aims to develop an efficient forecasting model using differential evolution (DE) based learning rule. The structure chosen is an adaptive linear combiner whose weights are trained using DE. The prediction performance of the resulting model is evaluated by feeding features of retail sales data for different months' ahead prediction. These results are compared with those obtained by GA based approach. The comparison demonstrates improved prediction of sales data by the proposed DE method.Item On the modal characteristics of surface plasmon polaritons at a metal-Bragg interface at optical frequencies(2009) Das R.; Jha R.Adetailed mathematical analysis along with a theoretical model for the modessupported at the interface of a metal and periodically stratified medium (Bragg structure) is presented. The modes that are supported at the interface of a plasmon active metal (such as gold) and a Bragg structure are commonly known as surface plasmon-Bragg modes. We found that these modes have effective indices lower than any of the material indices of the layers comprising the Bragg structureItem An efficient multi-objective pulse radar compression technique using RBF and NSGA-II(2009) Baghel V.; Panda G.; Srihari P.; Rajarajeswari K.; Majhi B.The task of radar pulse compression is formulated as a multi-objective optimization problem and has been effectively solved using radial basis function (RBF) network and multiobjective genetic algorithm (NSGA-II). The pulse compression performance of three different codes in terms of signal to peak side-lobe ratio (SSR) under noisy environmentItem Generation of pulse compression codes using NSGA-II(2009) Sahoo A.K.; Panda G.; Pradhan P.M.Pulse compression technique avoids the transmission of a signal having small pulse width and high peak power for better range resolution by transmitting phase or frequency modulated large pulse width signal having comparatively low peak power signal. This paper demonstrates an application of non dominated sorting genetic algorithm-II (NSGA-II)Item Surface plasmon resonance-based gas sensor with chalcogenide glass and bimetallic alloy nanoparticle layer(2009) Sharma A.K.; Jha R.A theoretical model for a gas sensor based on chalcogenide prism and surface plasmon resonance is proposed. The metal layer consists of Ag-Au alloy nanoparticles. The chalcogenide prism is made of sulfide glass Ge20 Ga5Sb10S65Item Annual Report 2008-09(IIT Bhubaneswar, 2009) IIT BhubaneswarItem A novel method of extending the linearity range of linear variable differential transformer using artificial neural network(2010) Mishra S.K., Panda G., Das D.P.This paper proposes a simple and novel method of designing and developing high-linearity linear variable differential transformer (LVDT)-based displacement sensing systems. Conventionally, precise adjustment of windings is made to enhance the linearity range of LVDTs. The tedious job of pitch adjustment of windings of LVDTs can be overcome by using the proposed method. A functional link artificial neural network has been successfully used in this paper for nonlinear compensation of the LVDT. The effectiveness of the proposed method is demonstrated through computer simulation with the experimental data of two different LVDT. The complete algorithm with the practical setup for the development of a linear LVDT is presented in this paper. � 2010 IEEE.