Pravara Rural Engineering College

Loni, India

Pravara Rural Engineering College

Loni, India
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Vikhe P.S.,Pravara Rural Engineering College | Thool V.R.,Shri Guru Gobind Singhji Institute of Engineering and Technology
2016 International Conference on Signal and Information Processing, IConSIP 2016 | Year: 2016

Cancer detection at primary stage is the only solution, to reduce the death rate among the womens, due to breast cancer. Hence, screening of mammograms for detection of masses is essential, which is crucial task for the radiologist, due to variation in contrast and homogeneous structure of the masses and surrounding breast tissue. Therefore, denosing and enhancement of the mammograms using wavelet shrinkage and homomorphic filtering is presented in this paper. The approach contains, artifact suppression using threshold technique in pre-processing. Then wavelet transform is applied on the pre-processed mammogram, the wavelet shrinkage operator is applied on the detail coefficients for denosing and homomorphic filtering is applied on approximate coefficients for enhancement of mammograms. Finally, an inverse wavelet transform is taken to obtain the denoised and enhanced mammograms. The obtain results of the presented method gives better visibility for suspicious masses. © 2016 IEEE.

Mandhare V.V.,Pravara Rural Engineering College | Manthalkar R.R.,S.G.G.S.I.E. & T. | Thool V.R.,S.G.G.S.I.E. & T.
Wireless Personal Communications | Year: 2017

The Mobile Ad-hoc Network (MANET) is self-healing, infrastructure less network. In which, the Quality of Service (QoS) is the main issue in MANET, for number of real time applications. However, problem of cache is very crucial in reactive routing protocols. Therefore, in this paper, we have developed cache update scheme for multipath environment on Dynamic Source Routing protocol, based on cache expiry, prediction based on link breakage and explicit route error message distributedly. Simulation is carried out in Network Simulator by Monarch Group, using QoS metrics. The simulation result obtained using proposed approach shows that, QoS-Updated Multipath Dynamic Source Routing (UMDSR) protocol gives improved performance compare to unipath QoS-UDSR protocol with reduced delay, which can provide stringent QoS to various real time applications. © 2017 Springer Science+Business Media, LLC

Deshpande S.S.,Pravara Rural Engineering College | Kadu C.B.,Pravara Rural Engineering College
International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT 2016 | Year: 2017

Use of PID controller is very popular in process industry. Temperature control is one of the most common processes where use of PID control became essential. FOPDT and SOPDT model are designed by multi scale control technique. The performance of this method is compared with conventional. Simulation and experimental results are presented to analyze the performance. © 2016 IEEE.

Yadav A.M.,Indian School of Mines | Nikkam S.,Indian School of Mines | Gajbhiye P.,Pravara Rural Engineering College | Tyeb M.H.,Indian School of Mines
International Journal of Mineral Processing | Year: 2017

In this study, response surface methodology (RSM) and artificial neural network (ANN) were used to develop an approach to analyze the behavior of different process variables such as pulp density, oil dosage, agglomeration time, and particle size, which affects the coal oil agglomeration process using Linseed oil as a bridging liquid. The investigation was done using Box-Behnken design (BBD) of response surface methodology, the same design of experimental data was used in training with the artificial neural network, and the results obtained from the two methodologies were compared. The ANN model predicted responses with better accuracy with coefficient of determination (R2) 0.97 and 0.95 for % ash rejection and % organic matter recovery respectively in comparison to RSM-BBD R2 of 0.97 and 0.92 for % ash rejection and % organic matter recovery respectively. The optimal condition established for the high % ash rejection and % organic matter recovery were pulp density (3.002%), oil dosage (15%), agglomeration time (15 min), particle size (0.168 mm) with predicted % ash rejection and % organic matter recovery as 68.00% and 95.24% respectively, with the desirability of 96.90%. The proposed optimal conditions were examined in the laboratory and the % ash rejection and % organic matter recovery achieved as 64.60% and 93.93 respectively. © 2017 Elsevier B.V.

Parvat B.J.,Pravara Rural Engineering College | Patre B.M.,Shri Guru Gobind Singhji Institute of Engineering and Technology
11th IEEE India Conference: Emerging Trends and Innovation in Technology, INDICON 2014 | Year: 2015

This paper presents sliding mode controller design based on decoupling approach for multivariable process. The performance of proposed controller is experimentally verified on multivariable coupled tank system. The controller and decoupler are designed from process model obtained from fundamentals and experimental step response data. SMC is designed using linear sliding surface and stability of the system can be approximately analyzed via Lyapunov function method. A process decoupled through decouplers consisting higher order elements represented in the form of first-order-plus-dead-time (FOPDT) model using model reduction method. The closed-loop system performance and robustness is verified using Matlab/Simulink and NI DAQ card interface with multi-variable coupled tank process. Thus the proposed method is effective despite the effect of exogenous disturbance. © 2014 IEEE.

Gaikwad R.W.,Pravara Rural Engineering College
Journal of the University of Chemical Technology and Metallurgy | Year: 2011

This paper deals with the removal of copper ions from wastewater systems by using activated carbon derived from coconut shell. It was found that the adsorption follows first order kinetics and is slightly endothermic. Standard adsorption isotherm, like Langmuir and Freundlich were used to represent the experimental data. The external mass transfer coefficient has been determined for the process under the influence of a number of variables including initial concentration, temperature, pH and contact time. Enthalpy calculation has been done for the process too. An equilibrium curve has been plotted for the calculation of the amount of carbon required and it was found that there was good agreement between experimental and analytical values.

Kadu C.B.,Pravara Rural Engineering College | Patil C.Y.,College of Engineering, Pune
2015 International Conference on Industrial Instrumentation and Control, ICIC 2015 | Year: 2015

In this paper we designed a Fractional order controller for level control system. Based on experimental model of the process, the different tuning rules have been computed and compared in order to minimize the integral square error with a constraint on the maximum sensitivity. To assess the controller performance with achieved performance, we tested the robustness of the system for process model stability. By comparing the results obtained for integer order controller (IOC) and fractional order controller (FOC), it is shown that fractional order controller gives better result for an obtained process model. © 2015 IEEE.

Nehe N.S.,Pravara Rural Engineering College | Holambe R.S.,Shri Guru Gobind Singhji Institute of Engineering and Technology
Eurasip Journal on Audio, Speech, and Music Processing | Year: 2012

In this article, new feature extraction methods, which utilize wavelet decomposition and reduced order linear predictive coding (LPC) coefficients, have been proposed for speech recognition. The coefficients have been derived from the speech frames decomposed using discrete wavelet transform. LPC coefficients derived from subband decomposition (abbreviated as WLPC) of speech frame provide better representation than modeling the frame directly. The WLPC coefficients have been further normalized in cepstrum domain to get new set of features denoted as wavelet subband cepstral mean normalized features. The proposed approaches provide effective (better recognition rate), efficient (reduced feature vector dimension), and noise robust features. The performance of these techniques have been evaluated on the TI-46 isolated word database and own created Marathi digits database in a white noise environment using the continuous density hidden Markov model. The experimenta results also show the superiority of the proposed techniques over the conventional methods like linear predictive cepstral coefficients, Mel-frequency cepstral coefficients, spectral subtraction, and cepstral mean normalization in presence of additive white Gaussian noise. © 2012 Nehe and Holambe; licensee Springer.

Talnikar V.D.,Pravara Rural Engineering College | Talnikar V.D.,Dr. Babasaheb Ambedkar Technological University | Mahajan Y.S.,Dr. Babasaheb Ambedkar Technological University
Korean Journal of Chemical Engineering | Year: 2014

Chemical process industries convert raw materials into useful products. Acids, among other chemicals, are used in many industries as reactants, solvents and also as catalysts in a few instances as well. Resulting streams are dilute, from which the acids must be recovered. For recovery, many technologies can be used by which acids can be regained as such or can be converted into other value-added products like esters. Membrane processes and biological processes are being researched academically and practiced industrially. These have their own advantages and disadvantages in view of conversion, energy consumption etc. These are not always advantageous and hence an alternate process technology is necessary like reactive separation (RS). RS is advantageous especially when the acid is to be converted to other useful products by reaction, due to additional advantages or because no other technology is well suited or due to cost considerations alone. Conventional process technologies use the reactor configuration followed by the subsequent separation sequence. This approach can sometimes suffer from lesser conversion, difficulties in separation etc. To overcome these problems, RS has an edge over other processes in terms of the recovery of the useful compounds. Reactive distillation (RD), reactive extraction (RE) and reactive chromatography (RC) are the separation technologies that can be useful for acid recovery in an economically feasible way. This review covers the various processes of acid recovery along with the recent work in the field of reactive separations. © 2014, Korean Institute of Chemical Engineers, Seoul, Korea.

Gaikwad R.W.,Pravara Rural Engineering College
Electronic Journal of Environmental, Agricultural and Food Chemistry | Year: 2010

Acid mine drainage (AMD), characterized by low pH and high concentrations of sulfate and heavy metals, is an important and widespread environmental problem related to the mining industry. Active treatments have received much attention lately as promising method for AMD treatment. They offer advantages such as high metal removal at low pH, stable sludge, and recovery of metals. Ion Exchange is the desired mechanism of contaminant removal; however, many mechanisms including adsorption reverse osmosis of metal occur in active treatments. The efficiency of active treatment is high. The most important component is the selection of resins and operating parameters. The performance of field ion exchangers can also be limited by AMD load and metal toxicity. Several studies conducted to find the bestsuited resin are reviewed. Moreover, critical parameters for design and long-term operation are discussed. Additional work needs to be done to properly assess the long-term efficiency of Ion exchanger and the metal removal mechanisms.

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