Rao V.S.,SVECW |
Panakala R.K.,PVPSIT |
2016 International Conference on Computation System and Information Technology for Sustainable Solutions, CSITSS 2016 | Year: 2016
The paper presents Comparative Analysis of Image Compression Using Haar Wavelets on MATLAB and DSP has shown the speed of image compression is more on Digital Signal Processors when compared to General Purpose Processors. The increase in speed and the reduction of size of an image due to compression is useful to achieve rapid data transfer over the internet or any channel. DWT produces an image having a high quality when compared with Discrete Cosine Transform. Because DWT processed digital images at multiple resolutions. The time required for compressing an image in TMS320C6713 DSP is proved to be 0.473 sec when compared to MATLAB implementation of 0.854 sec. © 2016 IEEE.
Usha Rani N.,PVPSIT |
Sreenivasa Rao R.,PVPSIT |
Indian Drugs | Year: 2014
Five simple, accurate, sensitive and economical UV spectrophotometric methods has been developed and subsequently validated for the determination of eletriptan in bulk and pharmaceutical formulations. The methods were based on the formulation of colored complex of eletriptan with different reagents. Absorbance of the formed color complex is measured against the reagent blank at the wavelength of maximum absorbance. In this paper, five spectrophotometric methods were proposed. Method A is based on the formation of oxidative coupling reaction involving the use of iron (III) - MBTH (3-methyl-2-benzo thiazolinone hydrazone hydrochloride). The resulting green colored chromogen complex absorbs at λmax = 520 nm. Reaction of eletriptan with ferric chloride and K3[Fe (CN)6] to form a green colored species having absorption maxima at λmax =790 nm is used in Method B. Method C is based on the reaction eletriptan max with FeCI3 and 1,10 phenanthroline to form a blood red colored chromogen, exhibiting absorption at λmax = 620 nm. Formation of oxidative coupling of drug with brucine in the presence of sodium meta periodate to form a purple red colored species is used in Method D which exhibits absorption maxima at λmax= 520 nm. Method E is based on the formation of complex with acidic dye WF BBL having absorption maxima at λmax= 610 nm. All these methods have different linearity ranges. Statistical analysis proves that the proposed methods are reproducible and selective for the estimation of eletriptan in bulk drug and in its tablet dosage form.
Anand N.V.,PVPSIT. |
Transactions of the Institute of Measurement and Control | Year: 2016
This research work proposes a method to obtain a stable reduced-order interval model from its stable higher-order interval plant. The reduced-order interval numerator and denominator polynomials are determined by using Kharitonov's polynomials and a general form of the Routh approximation method. The proposed reduction algorithm retains stability and full impulse response energy of the higher-order interval system in its reduced-order interval model. In addition to this, the proposed method has useful features like matching of time moments and mathematical simplicity. Moreover, a few numerical examples in the literature are taken into consideration and simulated through MATLAB to illustrate the effectiveness of the proposed method. © SAGE Publications.
Potluri R.,PVPSIT |
Eswara Kumar A.,Koneru Lakshmaiah College of Engineering |
Naga Raju M.,DIET |
Babu K.R.P.,Koneru Lakshmaiah College of Engineering
Materials Today: Proceedings | Year: 2017
Sandwich structures offer a lot of advantages in many applications beginning from aerospace ranging up to architecture with means of providing high strength to weight ratio's, insulation, energy absorption...etc. so there is every reason why we have to study and understand those structures. Sandwich Composites are made up of two thin but stiff skins called face sheets whose main purpose is to carry tensile and compressive loads and separated by a light weight core whose purpose to carry shear loads.The response of the sandwich core structures will be influenced by Core and Face sheet thickness in view of overall structural stiffness, shear stiffness and core shear. These parameters will also influence the dynamic behavior of the structures.In this paper Static structural and modal analysis was done on the effect of the core thickness and the face sheet thickness by using the finite element simulation software(FEM) Ansys Workbench.The influence was studied by designing experiments through the technique of central composition design (CCD). Matlab code was developed to verify the stress values analytically and to homogenize the material properties for the core. © 2017 Elsevier Ltd.
Potluri R.,PVPSIT |
James Paul K.,PVPSIT |
Abdul Kalam S.,PVPSIT |
Materials Today: Proceedings | Year: 2017
The research towards the development of composites has been around for many years. But rising concerns about the global warming, waste generation & management, increasing environmental consciousness, growing pressure on the resources of fossil fuels has led to the development of green composites.Furthermore, there are some natural fibers where the properties can be good in comparison with the synthetic fibers which have contributed to this development. In this paper the experimental characterization of mechanical properties of okra fiber reinforced epoxy composite has been performed. finite element analysis (FEA), analytical study was performed to characterize the properties of banana and kenaf fiber reinforced epoxy composites. A number of inter - lamina hybrid laminates of different configurations were designed using these composite laminas and their mechanical properties were found and compared. © 2017 Elsevier Ltd. All rights reserved.
Deekshit Kompella K.C.,PVPSIT |
Venu Gopala Rao M.,PVPSIT |
Srinivasa Rao R.,JNTUK
Ain Shams Engineering Journal | Year: 2017
Induction motors consumes 90% of total power consumed by industries due to large scale utilisation. Even though these motors are rugged in structure, they often face unexpected failure due to long usage without maintenance. Bearing failure is a major problem among various faults, which cause catastrophic damage to machine when unnoticed at incipient stage. So the bearing faults in induction machines should be continuously monitored. Motor current signature analysis (MCSA) has become popular for detection and localisation of these faults and has attracted concentration of many researchers. In this paper stator current is monitored by means of frequency spectral subtraction using various wavelet transforms to suppress dominant components. The spectral subtraction using discrete wavelet transform (DWT), stationary wavelet transform (SWT) and wavelet packet decomposition (WPD) is performed and a comparative analysis is carried out by means of different fault indexing parameters. The proposed topology is examined using 2.2. kW induction machine test bed. © 2017 Ain Shams University.
Rao A.P.C.,PVPSIT |
Obulesh Y.P.,LBRCE |
ARPN Journal of Engineering and Applied Sciences | Year: 2012
In the recent past, variable speed driving systems have sprouted in various small scale and large scale applications like automobile industries, domestic appliances etc. The usage of green and eco friendly electronics are greatly developed to save the energy consumption of various devices. This lead to the development in Brushless DC motor (BLDCM). The usage of BLDCM enhances various performance factors ranging from higher efficiency, higher torque in low-speed range, high power density, low maintenance and less noise than other motors. The BLDCM can act as an alternative for traditional motors like induction and switched reluctance motors. In this paper we present a mathematical model of BLDC motor and show the values of various technical parameters using MATLAB/SIMULINK. In this paper the simulation is carried out for 120 degree mode of operation. The test results show the performance of BLDCM which are highly acceptable. Finally a PID controller is applied for closed loop speed control under various loading conditions. © 2006-2012 Asian Research Publishing Network (ARPN).
Suman M.,VLITSVadlamudi |
Rao M.V.G.,VLITSVadlamudi |
Hanumaiah A.,PVPSIT |
International Journal on Electrical Engineering and Informatics | Year: 2016
Economic load dispatch is the process of allocating the required load demand between the available generators in power system while satisfying all units and system equality and inequality constraints. Economic Load Dispatch solutions are found by solving the conventional methods such as lambda iteration, Gradient search method, Linear Programming and Dynamic Programming while at the same minimizing fuel costs, but convergence is too slow, so in order to get fast convergence and accurate results we are using artificial neural network. Artificial neural network is well-known in the area of power systems. It is a very powerful solution algorithm because of its rapid convergence near the solution. This property is especially useful for power system applications because an initial guess near the solution is easily attained. In this paper a three generator system is considered and by using lambda iteration method Economic Load Dispatch is determined and 150 patterns for different loads will be derived from same method to train neural network. As it is too slow method, we proposed a soft computing based approach i.e. Back Propagation Neural Network (BPNN) for determining the optimal flow. This method provides fast and accurate results when compared with the conventional method. © 2016, School of Electrical Engineering and Informatics. All rights reserved.
Chinnaiah M.C.,BVRIT |
Rajesh Kumar P.,PVPSIT |
Satya Savithri T.,Jawaharlal Nehru Technological University
International Journal of Applied Engineering Research | Year: 2014
Robust path planning is one of the main skills which is essential in service robots. The obstacle avoidance challenges are mainly addressed in the navigation of robot. These challenges are addressed in this paper by developing hardware efficient algorithm. A special Embedded Architecture is developed to implement the algorithm. The effectiveness of the proposed algorithm is achieved by the excellence of control scheme for static as well as dynamic scenarios in indoor environment. This paper presents obstacle avoidance research for different convex polygon shapes in indoor environment. For robust path planning, SERVICE_ROBO is equipped with six pairs of ultrasonic sensors and NI SBRIO board (FPGA Spartan 3E XC3S2000). It is capable of sensing its surrounding environment considering all the sensed information to the knowledge of its location and environment. It is verified by conducting experiments with SERVICE_ROBO. © Research India Publications.
Chinnaiah M.C.,BVRIT |
Savitri T.S.,Jawaharlal Nehru Technological University |
2015 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2015 | Year: 2015
The Multi robotic system required behavioural control to perform successful navigation. The navigation of the multi robots is performed based on intensity signals from goal and both the robots are incorporated with IR seeker. The navigation starts at (S) and reaches to goal point (G) (IR Beacon). The obstacle avoidance mechanism is also performed by both leader and follower robots. Multi robots navigation in indoor environment is performed with centralization and distributed methods. This paper presents the challenges of multi robot how the leader and follower robots can change their mode of behavioural control by switching between centralization and decentralization methods with a novel approach using implicit communication. The proposed work is implemented in our laboratory and it is also hardware efficient. Robots are developed with minimal sensors like eight ultrasonic sensors, digital compass, RF Transceiver (PMODRF2) and Spartan 3e FPGA boards. © 2015 IEEE.