Kākināda, India
Kākināda, India

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Puralachetty M.M.,UCEK | Pamula V.K.,UCEK | Gondela L.M.,UCEK
2016 IEEE Students' Conference on Electrical, Electronics and Computer Science, SCEECS 2016 | Year: 2016

The teaching-learning-based optimization (TLBO) algorithm is an evolutionary algorithm based on simulated teaching-learning procedure in a class. This algorithm requires no controlling parameters and is moulded based on the effect of influence of teacher on the output of learners and hence can be implemented easily and also requires less computational memory compared to other evolutionary algorithms. This paper presents the (TLBO) algorithm with two-stage initialization (TSI). The TLBO with TSI (TLBO-TSI) is tested with the Rastrigin benchmark function and then used to minimize least-squares (LS), Huber (HU) and Hampel (HA) cost functions. Simulation results are presented to show the evolutionary behavior of the TLBO with TSI. Simulation results show that the TLBO-TSI performs better compared to existing TLBO. © 2016 IEEE.

Darimireddy N.K.,JNTUK | Prasad A.,UCEK
Lecture Notes in Electrical Engineering | Year: 2016

A miniature and low profile frequency dependent and frequency independent microstrip patch antennas are proposed in the paper. An idea of converting frequency dependent microstrip patch into frequency independent microstrip patch by altering the dimensions, relative spacing and with suitable arrangement of parasitic patches is presented and discussed. The performance analysis and design details of frequency dependent and frequency independent patch antennas are presented in the paper. To determine the mathematical calculations of critical microstrip patch dimensions and the corresponding optimized design of both antennas was carried out using Ansys HFSS solver. The parametric studies with respect to various substrate materials, substrate thickness and some design parameters of both the antennas are simulated and presented in the paper. The proposed antennas are fabricated and tested. The Simulation and Experimental results are compared. Based on these results, the proposed antennas operate in UWB (3.1–10.6 GHz) range of frequencies. © Springer India 2016.

Darimireddy N.K.,Lendi Institute of Engineering and Technology | Mallikarjuna Prasad A.,UCEK
Journal of Applied Research and Technology | Year: 2015

Many techniques have been proposed to design microstrip patch antennas with multiband characteristics. In the proposed antenna design, a combination of dual U-slot and multiple layers is used to get multiple bands and wide bandwidth. A multiband triple-layer probe fed double U-slot microstrip patch antenna for next generation wireless applications is proposed in this paper. Parametric studies of antenna structure with double U-slot, variation of feed position, and also with multiple layers are presented. The proposed antenna is fabricated and tested. The simulation and experimental results are presented. The proposed antenna provides triple bands at 1.6 GHz, 1.9 GHz and 3.8 GHz and a bandwidth of 600 MHz for a substrate thickness of 1.6 mm and 1.8 GHz, 2.2 GHz and 4.8 GHz and a bandwidth of 800 MHz for a substrate of 0.6 mm thickness. © 2015 Universidad Nacional Autónoma de México, Centro de Ciencias Aplicadas y Desarrollo Tecnológico.

Darimireddy N.K.,UCEK | Prasad A.M.,UCEK
Proceedings of the 2016 IEEE International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2016 | Year: 2016

A novel and petite edge fed dielectric resonator antenna (DRA) is achieved by cutting the right portion of rhombic DRA with a rhombic slot at the centre and also with partial ground plane is presented for wireless communication applications. A strip line is used as feeding structure for the dielectric resonator. Parametric analysis on the antenna is performed using HFSS solver by varying the height of the DR, lengths of the feed line and partial ground structure are presented. From the results it is observed that the proposed DRA has wide frequency range from 4.50GHz to 6.23GHz with an impedance bandwidth of 32.72%. The presented DRA has multiple bands and it resonates at 3GHz (Center frequency of S-Band), 5GHz (IEEE 802.11ac) and 5.8GHz (IEEE 802.16d). The peak gain of the proposed DRA is 4.66dBi and bandwidth offered is 1.73GHz. © 2016 IEEE.

Velpula V.B.,Alstom | Krishna Prasad M.H.M.,UCEK
Advances in Intelligent Systems and Computing | Year: 2016

With the enhanced usage of sensors and GPS devices, obtaining spatial and spatio-temporal data has become easy and analyses of these data in real-time applications are increasing day to day. Clustering is a data mining technique used for analyzing and obtaining unknown/hidden knowledge from the data/objects. Distance-based methods are helpful for analyzing and grouping the objects. In general, based on the type of data, Euclidean or Cosine distance-based techniques are used for grouping the data. Traditional techniques are point-based techniques and are based on single-view point, which may not produce efficient information and cannot be utilized for analyzing spatio-temporal objects. Hence, this paper presents a novel multi-view similarity technique for clustering spatio-temporal objects. Authors demonstrated the effectiveness of the proposed technique by adopting DBSCAN and implementing JDK1.2 on benchmarked datasets with respect to FMI indicator. © Springer India 2016.

Vijay Kumar Y.N.,SVCET | Sivanagaraju S.,UCEK | Suresh C.V.,Vasireddy Venkatadri Institute of Technology
Ain Shams Engineering Journal | Year: 2015

The utilization of electrical energy due to urbanization and industrialization is increasing day by day, and due to this, there is chance of increasing the uncertainties in a given power system and that affects the economy of the country. The conventional power system in the presence of flexible AC transmission system (FACTS) controllers is an alternative to solve this problem and can increase the power system capability to handle rapid changes in operating conditions of the system. In general, multi-line FACTS controllers are effective than single line FACTS controllers. In this paper, a detailed mathematical modeling of IPFC is presented and the effect of an optimal location is also analyzed. A novel optimization algorithm i.e. modified BAT algorithm is proposed to solve optimal power flow problem in the presence of IPFC including system constraints and device limits. The proposed methodology has been tested on standard test systems. © 2015 Faculty of Engineering, Ain Shams University.

Venkateswara Rao M.,GMR Institute of Technology | Sivanagaraju S.,UCEK | Suresh C.V.,Vasireddy Venkatadri Institute of Technology
Ain Shams Engineering Journal | Year: 2015

Nowadays, because of the deregulation of the power industry the continuous increase of the load increases the necessity of calculation of available transfer capability (ATC) of a system to analyze the system security. With this calculation, the scheduling of generator can be decided to decrease the system severity. Further, constructing new transmission lines, new substations are very cost effective to meet the increasing load and to increase the transfer capability. Hence, an alternative way to increase the transfer capability is use of flexible ac transmission system (FACTS) controllers. In this paper, SSSC, STACOM and UPFC are considered to show the effect of these controllers in enhancing system ATC. For this, a novel current based modeling and optimal location strategy of these controllers are presented. The proposed methodology is tested on standard IEEE-30 bus and IEEE-57 bus test systems with supporting numerical and graphical results. © 2015 Faculty of Engineering, Ain Shams University.

Jonnala R.B.,UCEK | Sai Babu C.,UCEK
Ain Shams Engineering Journal | Year: 2015

The influence of Direct Torque Controlled Induction Motor Drive in the area of industrial application is very high; it presents foremost area of controllability of load at different states of operation. The major snags to the controller are maintaining Constant Switching Frequency and Infeasibility state. This paper concentrates on rectifying these problems with Modified Multiband Hysteresis Controller and Nearest Vector Control Modulated Asymmetrical Cascaded H-Bridge Multilevel Inverter for the better drive operation. In this case proper modification in MHC gives the optimal utilizations of each control vector to avoid the infeasibility states with a Lookup-Table and Multilevel Inverter gives more number of control voltage vectors with constant switching frequency for flexible operation of drive with low disturbances. Direct Torque Control equipped with these two modules achieves better operating conditions with low Torque ripples, low distorted flux and speed with different loads, and all other satisfactory load operating parameters. © 2015 Faculty of Engineering, Ain Shams University.

Yarlagadda A.,JNTUH College of Engineering | Murthy J.V.R.,UCEK | Krishna Prasad M.H.M.,UCEK
Advances in Intelligent Systems and Computing | Year: 2014

The demand of estimation of age from facial images has tremendous applications in real world scenario like law enforcement, security control, and human computer interaction etc. However despite advances in automatic age estimation, the computer based age classification has become prevalent. The present paper evaluates the method of age group classification based on the Correlation Fractal Dimension (FD) of facial image using different validation techniques. To reduce variability, multiple rounds of cross validation are performed using different partitions to the data. The expected level of fit of the model classifying facial images into four categories based on FD value of a facial edge is estimated using multiple cross-validation techniques. The simulation is carried out and results are analyzed on different images from FGNET database, Google database and from the scanned photographs as these are random in nature and help to indicate the efficiency and reliability of the proposed method. It is also a successful demonstration that Correlation Fractal Dimension of a facial edge is sufficient for a classification task with high percentage of classification accuracy. © Springer International Publishing Switzerland 2015.

Yarlagadda A.,JNTUH College of Engineering | Murthy J.V.R.,UCEK | Krishna Prasad M.H.M.,UCEK
Journal of King Saud University - Computer and Information Sciences | Year: 2015

In the computer vision community, easy categorization of a person's facial image into various age groups is often quite precise and is not pursued effectively. To address this problem, which is an important area of research, the present paper proposes an innovative method of age group classification system based on the Correlation Fractal Dimension of complex facial image. Wrinkles appear on the face with aging thereby changing the facial edges of the image. The proposed method is rotation and poses invariant. The present paper concentrates on developing an innovative technique that classifies facial images into four categories i.e. child image (0-15), young adult image (15-30), middle-aged adult image (31-50), and senior adult image (>50) based on correlation FD value of a facial edge image. © 2015 The Authors.

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