Kakatiya Institute of Technology and Science

Warangal, India

Kakatiya Institute of Technology and Science

Warangal, India
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Reddy V.V.,Kakatiya Institute of Technology and Science
IETE Journal of Research | Year: 2017

A new compact Flared-U-type fractal patch antenna is studied for linear and circular polarization (CP). For linear polarization, patch sides are replaced with symmetrical Flared-U fractal curves. By interchanging the edges of a square structure with asymmetrical Flared-U-type fractal curves in two perpendicular directions, two degenerated orthogonal modes are generated for CP emission. To design compact CP antennas, indentation parameters of the Flared-U-type fractal boundary curves are optimized. All the simulations are carried out using finite-element-method-based HFSS electromagnetic simulation tool. Measured results depict that 10-dB return loss and 3-dB axial ratio bandwidths of the presented iteration order (IO) 1 Flared-U CP antenna 2 are 6.17% and 1.8%, respectively, at operating frequencies of 2300 MHz. Obtained results demonstrate that by deploying fractal boundary curves as sides of the square structure, an excellent CP is achieved. © 2017 IETE


Chandramouli S.,Kakatiya Institute of Technology and Science | Eswaraiah K.,Kakatiya Institute of Technology and Science
Materials Today: Proceedings | Year: 2017

Electrical Discharge Machining is a thermo-electric process and one of the advanced methods of machining. In the present study, the optimal setting of the process parameters on Electric Discharge Machining (EDM) was determined. The important process parameters that have been selected are peak current, pulse on time, pulse off time and tool lift time with output response as Material Removal Rate (MRR) and Surface Roughness (SR).Taguchi experimental design (L27 orthogonal array) was used to formulate the experimental layout and experiments were conducted on 17-4 Precipitation Hardening Stainless Steel (PH Steel) machined with copper tungsten electrode. ANOVA method was used with the help of MINITAB 17 software to analysis the influence of input process parameters on output response. The input parameters were optimized in order to obtain maximum MRR and minimum surface roughness (SR), the results of the present work revealed that proper selection of input parameters will play a significant role on MRR and SR, finally the experimental results were validated by confirmation tests. © 2017 Elsevier Ltd.


Anitha P.,Kakatiya Institute of Technology and Science | Shrinivas Balraj U.,Kakatiya Institute of Technology and Science
Materials Today: Proceedings | Year: 2017

In this paper, the dry sliding wear performance of Alumina-Al2O3 and graphite-Gr particles reinforced with Al7075 (aluminum alloy 7075) hybrid metal matrix composites is studied by means of a pin-on-disc tribometer. Ceramic particles Al2O3 along with solid lubricant Gr are incorporated into Al7075 matrix to accomplish improvement in the wear properties such as wear and coefficient of friction. These Al7075/Al2O3p/Grp hybrid composites with varying percentages of Al2O3 and Gr are produced by stir casting method in a controlled atmosphere. Uniform distribution of reinforcing particles is confirmed by SEM views. The influence of various parameters such as Al2O3 (0 and 3 wt.%), Gr (2, 4 and 6 wt.%), applied load (10, 20 and 30N) and sliding distance (1000, 1500 and 2000m) is evaluated on dry sliding wear performance of these hybrid composites namely, wear and coefficient of friction. The wear tests are designed according to Taguchi's L18 orthogonal array (21 x 33) to observe the wear performance of these composites during dry sliding wear tests. Analysis of variance and main effects plots are used to analyze the wear test data. It is observed that the wear is mainly influenced by the Al2O3% reinforcement and applied load. Wear decreases with the increase of Al2O3% reinforcement and increases with increase of applied load. Whereas, coefficient of friction is mainly influenced by Gr% reinforcement and the applied load. Applied load affects significantly both wear and coefficient of friction, whereas sliding distance has insignificant effect on both. © 2017 Elsevier Ltd. All rights reserved.


Naik G.R.,Kakatiya Institute of Technology and Science | Reddy K.A.,Kakatiya Institute of Technology and Science
2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings | Year: 2017

This paper proposes a method of feature reduction process i.e., selection of the best features for accurately identifying an electrocardiogram (ECG) signal as basically normal or abnormal. This is done by Intensity Weighted Fire-Fly Optimization (IWFFO) Algorithm. After extracting the best features, a kernel model for machine learning is proposed to classify the category of the signal as normal or abnormal. This is done by Multimodal Decision Learning (MDL) classification method. The proposed work is compared with traditional ECG signal classification method i.e., support vector machine (SVM) by considering the parameters like true positive (TP), true negative (TN), False positive (FP), False negative (FN), False rejection ratio (FRR), false acceptance ratio (FAR), global acceptance ratio (GAR), confusion matrix (CM), Kappa coefficient (KC), Sensitivity, Specificity and Accuracy. Records for MIT-BIH database are used for performance evaluation. Simulation results indicate the ECG signal as normal or abnormal with respect to the above defined parameters. © 2016 IEEE.


Naik G.R.,Kakatiya Institute of Technology and Science | Reddy K.A.,Kakatiya Institute of Technology and Science
2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings | Year: 2017

This work proposes a simplified approach for filtering electrocardiogram (ECG) signal by means of Gaussian Mean Variant Filtering technique and feature extraction procedure using Integrated Peak Analyzer method. The preprocessing stage is confined to signal filtering and smoothening the waveform with the conventional filters like low pass filter, Butterworth filter, Finite impulse (FIR) filter, least mean squares (LMS) filter and the proposed filter. The next stage includes feature extraction procedure using peak estimations of QRS complexes and their pulse transit time (PTT) estimations. For this purpose, a novel model, Integrated Peak Analyzer is used. Finally the obtained results from the proposed methods are compared with the adaptive filters. © 2016 IEEE.


Vankanti V.K.,Kakatiya Institute of Technology and Science
Journal of Materials Research and Technology | Year: 2014

The objective of the present work is to optimize process parameters namely, cutting speed, feed, point angle and chisel edge width in drilling of glass fiber reinforced polymer (GFRP) composites. In this work, experiments were carried out as per the Taguchi experimental design and an L9 orthogonal array was used to study the influence of various combinations of process parameters on hole quality. Analysis of variance (ANOVA) test was conducted to determine the significance of each process parameter on drilling. The results indicate that feed rate is the most significant factor influencing the thrust force followed by speed, chisel edge width and point angle; cutting speed is the most significant factor affecting the torque, speed and the circularity of the hole followed by feed, chisel edge width and point angle. This work is useful in selecting optimum values of various process parameters that would not only minimize the thrust force and torque but also reduce the delimitation and improve the quality of the drilled hole. © 2013 Brazilian Metallurgical, Materials and Mining Association. Published by Elsevier Editora Ltda. All rights reserved.


Reddy B.S.K.,Kakatiya Institute of Technology and Science
Wireless Personal Communications | Year: 2016

Improved spectral and energy efficiency are two key requirements for the next generation (5G) wireless communication systems. The inefficiency and non-linearity of traditional power amplifiers (PA) pose significant challenges to meet these requirements, especially for multicarrier modulation signals with high peak to average power ratio (PAPR). Orthogonal frequency division multiplexing (OFDM) is currently the most widely used multi carrier modulation technique; it has been adopted in many wireless communication standards including IEEE 802.11, 802.16, 3GPP Long Term Evolution and WiMAX. When a high PAPR signal process through a nonlinear power amplifier (PA), intermodulation distortion is generated, creating out-of-band emission that can interfere with other transmission in adjacent bands. In addition, in-band distortion, which degrades the bit error rate performance, occurs. Hence, I have addressed these problems by employing four different PAPR reduction techniques such as Phase modulation, Rail clipping, Sample and Hold approach and Threshold methods based on amplitude clipping. For practical proof of the proposed concepts, I have chosen software defined radio as an experimental setup that employs USRP N210 as hardware and GNU Radio as software. © 2016 Springer Science+Business Media New York


Balraj U.S.,Kakatiya Institute of Technology and Science
Journal of Physics: Conference Series | Year: 2016

In this paper, mathematical modeling of three performance characteristics namely material removal rate, surface roughness and electrode wear rate in rotary electrical discharge machining RENE80 nickel super alloy is done using regression approach. The parameters considered are peak current, pulse on time, pulse off time and electrode rotational speed. The regression approach is very much effective in mathematical modeling when the performance characteristic is influenced by many variables. The modeling of these characteristics is helpful in predicting the performance under a given set of combination of input process parameters. The adequacy of developed models is tested by correlation coefficient and Analysis of Variance. It is observed that the developed models are adequate in establishing the relationship between input parameters and performance characteristics. Further, multi-criteria optimization of process parameter levels is carried using grey based Taguchi method. The experiments are planned based on Taguchi's L9 orthogonal array. The proposed method employs single grey relational grade as a performance index to obtain optimum levels of parameters. It is found that peak current and electrode rotational speed are influential on these characteristics. Confirmation experiments are conducted to validate optimal parameters and it reveals the improvements in material removal rate, surface roughness and electrode wear rate as 13.84%, 12.91% and 19.42% respectively.


Prabhakar G.S.,Kakatiya Institute of Technology and Science
International Journal of Intelligent Engineering and Systems | Year: 2016

Space-Time Block Coding (STBC) is a MIMO based approach which achieves high reliability and diversity by transmitting multiple copies of data stream across antennas. In this paper, bi-scale based fractional order statistics for blind channel estimation in chaotic STBC systems are proposed. Accordingly, the proposed communication system contains chaotic modulator and transmitter in the transmitter section. Then, the receiver contains the channel equalizer and chaotic demodulator. In the channel equalizer, the signal is transmitted through a channel which is estimated through the proposed channel estimation algorithm. In the proposed channel estimation, the weight updating formulae will be modified based on the comparison of the estimated weighted values and its old weighted value. The analysis of the technique is carried out by finding out the evaluation metrics of BER, MSE and SER with respect to SNR and different antenna array sizeof 4, 5 and 6.


Kamakshi P.,Kakatiya Institute of Technology and Science
2014 International Conference on Circuits, Power and Computing Technologies, ICCPCT 2014 | Year: 2014

The process of discovering interesting and previously unknown, but potentially useful patterns from large spatial datasets is called spatial data mining. Extracting interesting and useful patterns from spatial datasets is more difficult than extracting the corresponding patterns from traditional numeric and categorical data due to the complication of spatial data types, spatial associations and correlation between them. Spatial Information may not only include spatial or geographical information or symbols but can also contain personal information like a person's name, mobile phone numbers linked with their address. Spatial data mining operation on such databases may not only extract required interesting patterns but may also reveal the sensitive and personal information which are associated with spatial database. An intruder can pose challenges to individual privacy by extracting the spatial data mining results or patterns and linking the data in various situations, previous knowledge and other information obtained from heterogeneous sources. This paper focus on various possibilities through which privacy of an individual can be easily violated in spatial data mining operation. Different techniques are proposed which can preserve the privacy of an individual in spatial data mining operation. © 2014 IEEE.

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