IDR @ IIT Bhubaneswar
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Item Annual Report 2008-09(IIT Bhubaneswar, 2009) IIT BhubaneswarItem 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 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 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 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 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 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 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 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 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 poor