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Kākināda, India
Kākināda, India
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Suneetha Rani T.,JNTUK | Krishna Prasad M.H.M.,JNTUK
International Journal of Systems Assurance Engineering and Management | Year: 2017

Identifying the cues for speech segments of speech data is an indispensable task in speaker clustering. The existing techniques perform the task of speech clustering without any prior knowledge of cluster tendency. Many techniques are investigated for finding a prior cluster tendency (CT). During the investigation, the visual access tendency (VAT) is recognized as a reasonable choice to find a cluster tendency. The speech clustering poses three important problems, which are as follows: modelling the speech data, cluster tendency, and effective speech clustering. Modelling is required for defining the shape of the speech segment based on the characteristics of speaker’s voice; hence it is useful for speech recognition. The GMM is a good choice for obtaining the precise model of speech data. Determining the number of speakers (or number of clusters) for the speech is known as cluster tendency. The quality of speech clustering depends on modelling and a prior clustering tendency. The classical algorithms [such as k-means, and minimum spanning tree (MST)-based-clustering] are merged with VAT for determining the effective clustering results along with a prior cluster tendency. We use linear subspace learning for representing the speech segments (or speech utterances) in a projected space of high-dimensional data. Various linear subspace learning techniques are used for improving the speech clustering results. The proposed approaches are hybrid approaches (i.e., k-means-CT, and MST–CT-based clustering), they use expensive steps. For this key reason, we propose another method, direct visualized clustering method, in which we derive the explicit speaker clustering results directly from VAT instead of using either k-means or MST-based clustering. We experimented the proposed methods on TSP speech datasets and done the comparative study for demonstrating the effectiveness of our work. © 2015, The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden.


Sivaramakrishnaiah M.,SVCET | Nanda Kumar P.,NBKRIST | Ranga Janardana G.,JNTUK
Materials Today: Proceedings | Year: 2017

The present research work focuses on experimental investigation of the effect of machining parameters on temperature distribution on work piece, cutting forces and surface roughness of Inconel 600 using Tungsten carbide tool with Al2O3 coating and without coating. The measurement of interface zone temperatures on work piece was performed using infrared thermal camera. The cutting, feed, thrust forces were measured using Kristler dynamometer. The surface roughness was measured by using Taylor Hobson surface roughness tester. The experimental work was initially carried with Full Factorial Design to evaluate the effect of machining parameters on the temperature distribution on workpiece,cutting forces and surface roughness with uncoated tools.Using this data optimized machining parameters were computed using ANOVA.In view of comparison of performance with Al2O3 coated tool bits, L9 orthogonal array of DOE using Al2O3 coated tools was done. The reduction in cutting forces, interface temperatures and surface roughness was more with the use of coated carbide tool when compared with uncoated tool. © 2017 Elsevier Ltd.


Radhika K.,JNTUK | Varadarajan S.,APSCHEAP
IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017 - Proceedings | Year: 2017

Classification is a well known of the significant tools used to recognize and examine most sharp information in images. Satellite image processing has become popular in these days because of benefits that those are giving. In any remote sensing particularly, the decision-making way mainly rely on the efficiency of the classification process. Image classification was performed generally and the classification accuracy was assessed. Here we have explained a healthy procedure to calculate all the parameters of five class classification model for satellite image classification with confusion matrix. © 2017 IEEE.


Nutalapati S.,JNTUK | Azad D.,Aitam Tekali | Naidu G.S.,JNTUK UCEV
International Journal of Mechanical Engineering and Technology | Year: 2016

Welding is a fabrication or sculptural process that joins materials, usually metals or thermoplastics, by causing fusion, which is distinct from lower temperature metal-joining techniques such as brazing and soldering, which do not melt the base metal. In the heavy as well as small industries, welding is widely used by metal workers in the fabrication, maintenance and repair of parts and structures. Welding current is the most influencing parameter in welding process which controls the depth of fusion; the electrode feed rate and depth of penetration. The amount of heat developed during welding depends upon the current used for a given size of electrode and filler wires. It is therefore essential that a correct current is used to produce good quality of weld and reduce the distortion problems on the job. The effect of welding current on welding speed and ultimate tensile strength of mild steel material is investigated in this paper. Mild steel weldment was welded under varying welding current i.e. 90, 95 & 100 ampere by using MMAW process in 1G position. The edge preparation, electrode diameter and electrode type, CCV, welding technique, polarity and welder remained constant during the test. It was observed that with increase in welding current melting rate of electrode was increased hence welding time was reduced. © IAEME Publication.


Sravya G.,JNTUK | Sailaja M.,JNTUK
International Conference on Signal Processing, Communication, Power and Embedded System, SCOPES 2016 - Proceedings | Year: 2017

As technology improves, the power dissipated by the links of a network-on-chip (NoC) starts to contend with the power dissipated by the additional elements of the correspond ion subsystem, namely, the routers and the network interfaces (NIs). Here, we present a set of data encoding schemes to diminish the power dissipated by the links of an NoC. In this paper, the encoder in LDPC is replaced with our data encoding schemes in order to reduce the power consumption in Low Density Parity Check Techniques. Experiments carried out on both synthetic and real traffic scenarios show the effectiveness of the proposed schemes. © 2016 IEEE.


Srinivasa Rao R.,JNTUK | Srinivasa Rao V.,JNTUK
International Journal of Electrical Power and Energy Systems | Year: 2015

This paper presents a generalized approach for determination of optimal locations for placement of Flexible AC Transmission Systems (FACTs) devices in the power system with an objective of reducing real power loss and to reduce overloading of the lines. An objective function involving above objectives is formulated and a detailed mathematical model for each objective is presented in terms of system parameters. Three FACT devices, namely, Unified Power Flow Controller (UPFC), Interline Power Flow Controller (IPFC), and Optimal Unified Power Flow Controller (OUPFC) which are capable of controlling both active and reactive power are considered in simulation and analysis of the networks. The parameters to be optimized have been identified and incorporated in the objective function for each device. Sensitivity analysis is used to locate optimal buses to place the FACTs devices in the network. Effectiveness of the approach is demonstrated on a 5 Bus and an IEEE 14 Bus systems for each FACT device. Simulation results obtained for each device using proposed approach are compared with those obtained in the literature. © 2015 Elsevier Ltd. All rights reserved.


Narasaraju G.,JNTUK | Raju D.L.,Andhra University
Materials Today: Proceedings | Year: 2015

The application spectrum of low cost material reinforced metal matrix composites is growing rapidly in various engineering fields due to their superior mechanical properties. In the present study an attempt is made to explore the possibilities of reinforcing aluminium alloy (AlSi10Mg) with locally available inexpensive rice husk and fly ash for developing a new composite material. Hybrid Rice husk and Fly ash particles are added in Aluminium Alloy Matrix at 20% by weight with different proportion using Stir casting method. The fabricated cast specimens are characterized with Optical and Scanning Electron Microscopes. SEM study validates the presence of Rice husk and Fly ash in Aluminium matrix. The mechanical properties such as tensile strength, percentage elongation, and hardness are studied for all stir-cast specimens. A significant improvement is observed for 10% Rice husk+10% Fly ash reinforced Aluminium Alloy composite compared to as-cast specimens without reinforcement additions. © 2015 Elsevier Ltd.


Venkata Rao K.,Vignan University | Murthy B.S.N.,Gandhi Institute of Technology and Management | Mohan Rao N.,JNTUK
Measurement: Journal of the International Measurement Confederation | Year: 2013

The vibration is one of the intensive problems in boring process. Machining and tool wear are affected more by vibration of tool due to length of boring bar. The present work is to estimate the effect of cutting parameters on work piece vibration, roughness on machined surface and volume of metal removed in boring of steel (AISI1040). A laser Doppler vibrometer (LDV) was used for online data acquisition and a high-speed FFT analyzer used to process the AOE signals for work piece vibration. A design of experiments was prepared with eight experiments with two levels of cutting parameters such as spindle rotational speed, feed rate and tool nose radius. Taguchi method has been used to optimize the cutting parameters and a multiple regression analysis is done to obtain the empirical relation of Tool life with roughness of machined surface, volume of metal removed and amplitude of work piece vibrations. © 2013 Elsevier Ltd. All rights reserved.


Pavanipadmapriya B.,JNTUK
International Journal of ChemTech Research | Year: 2013

A simple, precise and sensitive procedure for simultaneous estimation of ciprofloxacin and tinidazole in two component tablets has been developed using 50% v/v glacial acetic acid. The absorbance maxima of ciprofloxacin and tinidazole are 281.7 nm and 310.9 nm respectively. Both the drugs obey Beer's Law in the concentration ranges employed for the proposed method. The results of analysis have been validated statistically and by the recovery studies. The method showed no interference by the compounds from each other when applied to formulation by means of UV-VIS spectroscopy and can be applied for routine simultaneous estimation of both drugs.


Venkata Rao K.,Vignan University | Murthy B.S.N.,Gandhi Institute of Technology and Management | Mohan Rao N.,JNTUK
Measurement: Journal of the International Measurement Confederation | Year: 2014

Machining of stainless steel is difficult due to their hardening tendency. In boring of stainless steels, tool wear and surface roughness are affected by vibration of boring bar. In this paper, tool wear, surface roughness and vibration of work piece were studied in boring of AISI 316 steel with cemented carbide tool inserts. A Laser Doppler Vibrometer was used for online data acquisition of work piece vibration and a high-speed Fast Fourier Transform analyzer was used to process the acousto optic emission signals for the work piece vibration. Experimental data was collected and imported to artificial neural network techniques. A multilayer perceptron model was used with back-propagation algorithm using the input parameters of nose radius, cutting speed, feed and volume of material removed. The artificial neural network was used to predict surface roughness, tool wear and amplitude of work piece vibration. The predicted values were compared with the collected experimental data and percentage error was computed. © 2014 Elsevier Ltd. All rights reserved.

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