Guntūr, India
Guntūr, India

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Kumar K.P.,Vignan University | Krishna K.R.,Bharat Heavy Electricals Ltd. | Theja B.,Vignan University
Shock and Vibration | Year: 2012

Health of rotating machines like turbines, generators, pumps and fans etc., is crucial to reliability in power generation. For real time, integrated health monitoring of steam turbine, novel fault detection data is essential to reduce operating and maintenance costs while optimizing the life of the critical engine components. This paper describes about normal and abnormal vibration data detection procedure for a large steam turbine (210 MW) using artificial neural networks (ANN). Self-organization map is trained with the normal data obtained from a thermal power station, and simulated with abnormal condition data from a test rig developed at laboratory. The optimum size of self-organization map is determined using quantization and topographic errors, which has a strong influence on the quality of the clustering. The Mat lab 7 codes are applied to generate program using neural networks toolbox. © 2012 - IOS Press and the authors. All rights reserved.

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.

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.

Gnaneswara Rao N.,Vignan University | Vijaya Kumar V.,Anurag Group of Institutions
International Journal of Multimedia and Ubiquitous Engineering | Year: 2014

Content Based Image Retrieval (CBIR) has been the most significant area in the applications of Pattern recognition and Computer Vision for the last three decades. However, there are many open problems left unresolved. Among these, one of the current problems of CBIR is to obtain an effective Similarity Measure. The CBIR systems make use of Integrated Region Matching (IRM) to match segmented images which is computationally economic, but it is not a metric distance whereas systems that use Minimum Cost Region Matching (MiCRoM) as a similarity measure is a metric distance, but computationally expensive. In order to address the above problem, this paper has developed the Optimal Cost Region Matching (OCRM) similarity measure for region based image retrieval. The proposed OCRM uses the north-west corner rule of the Transportation problem that fulfills the monge property. The experiment carried out on 1000 color images taken from the Corel database that are compared with IRM, and MiCRoM similarity measures. © 2014 SERSC.

Popuri A.K.,Vignan University | Pagala B.,Vignan University
International Journal of Pharma and Bio Sciences | Year: 2013

Dyes are coloring compounds being extensively used in almost all industries and the indiscriminate disposal of dye wastewater poses one of the major problems on the environment. This effluent containing a variety of contaminants viz. Nature of acidic, caustic, dissolved solids and toxic compounds like organic, inorganic or heavy metallic. The micro toxins are developed due to coloring agents by forming chelating under suitable chemical environment. The objective of the present work is to investigate the effectiveness of chemical treatment on removal of color of simulated acid dye solutions. Two dye stuffs one belongs to acid group and other vat dye were employed and batch tests were conducted with three coagulants (Alum, Ferric chloride & Aluminium chloride) to access feasibility and also to study the optimum coagulant dosage. The study clearly indicates that Napthal-I responds effectively to both Alum & AlCl3. Napthal-II responds effectively to Alum. Vat dye is moderately responded to FeSO4.7H2O. The removal probably due to physicochemical mechanism of coagulation and flocculation and/or chelating complexation type reactions. A perusal of color removal data suggest that the color mechanism is predominately physicochemical coagulation especially at alkaline PH ranges, presumable due to absorption on to hydroxide flocs, and color removal at lower PH ranges may be either due to physicochemical coagulation or chelation complex formation reactions. The study clearly indicates that optimum PH system conditions, there is significant reduction in the chemical dosage requirements and in some cases a further increase in color removal. From the above studies it may be concluded that some of the Acid & Vat dye stuffs are amenable for their color removal and shows positive response for treatment by chemical process using various coagulants.

Srinivasa Prasad A.,Vignan University | Umamahesh N.V.,National Institute of Technology Warangal | Viswanath G.K.,JNTUH College of Engineering
Journal of Water Resources Planning and Management | Year: 2013

The development and management of irrigation facilities has been recognized as the key to national development in India. Despite their high priority and massive investments, the performance of major irrigation projects has been disappointing. Substantial benefits can be achieved from relatively small increases in operating efficiencies. The main objective of this study is to develop a short-term, real-time reservoir operating policy in a multicrop, multiseason environment integrating reservoir release decisions with field irrigation requirements. A real-time reservoir operation model defines the set of releases to be made into each offtake on the main canals of a reservoir for a known set of release targets, reservoir storage state, and forecasted inflow in the current period, minimizing the deficit function. An intercrop allocation model allocates reservoir releases of the current period among competing crops. On implementing the irrigation decisions of the intercrop allocation model for the current period, soil moisture is updated with the rainfall that actually occurred and irrigation that was applied in the current period. A new set of irrigation targets for the remaining periods is determined by running the single-crop intraseasonal allocation model for each crop constraining the allocations of the previous periods to the actual irrigation performed. With the revised targets and updated reservoir storage, reservoir operation and intercrop allocation models are run sequentially for all time periods in real time. The models developed are demonstrated through a case study of the Nagarjuna Sagar Reservoir Project. The real-time reservoir operation model is run for data from the years 2004-2005 with and without updating irrigation targets, and the results are discussed. The crop production measure is found to be high in the case of updated targets, underscoring the importance of updating irrigation targets. © 2013 American Society of Civil Engineers.

Mahendranath B.,Vignan University | Srinivasulu A.,Vignan University
Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2013 | Year: 2013

A new CMOS output buffer with low switching noise and load adaptability is presented in this paper. The proposed circuit consists of two stages; first stage is set to reduce switching noise, static power dissipation and also output ringing. The second stage involves enough speed and full dynamic range. The performance of the proposed circuit is examined using Cadence and the model parameters of a 180 nm CMOS process. The simulation results have confirmed that the proposed output buffer can reduce propagation delay compared with the previous designs. The topology reports low sensitivities and has features suitable for VLSI implementation. © 2013 IEEE.

Tirumalasetty V.R.,Vignan University | Avireni S.,Vignan University
Radioengineering | Year: 2012

Full adder is an essential component for the design and development of all types of processors like digital signal processors (DSP), microprocessors etc. In most of these systems adder lies in the critical path that affects the overall speed of the system. So enhancing the performance of the 1-bit full adder cell is a significant goal. In this paper, we proposed two modified level restorers using current sink and current source inverter structures for branch-based logic and pass-transistor (BBL-PT) full adder [1]. In BBL-PT full adder, there lies a drawback i.e. voltage step existence that could be eliminated in the proposed logics by using the current sink inverter and current source inverter structures. The proposed full adders are compared with the two standard and well-known logic styles, i.e. conventional static CMOS logic and Complementary Pass transistor Logic (CPL), demonstrated the good delay performance. The implementation of 8-bit ripple carry adder based on proposed full adders are finally demonstrated. The CPL 8-bit RCA and as well as the proposed ones is having better delay performance than the static CMOS and BBL-PT 8-bit RCA. The performance of the proposed BBL-PT cell with current sink & current source inverter structures are examined using PSPICE and the model parameters of a 0.13 μm CMOS process.

Rao U.S.N.,Vignan University
CARE 2013 - 2013 IEEE International Conference on Control, Automation, Robotics and Embedded Systems, Proceedings | Year: 2013

Agricultural sector is desperately in need of engineering outcomes such as Automation, Information Technology and more recently Robotic Technology. Cotton Cultivation in India occupying a big share in commercial crops is facing a major problem of picking the cotton from the plants by the labor as the labor costs are increasing these days. This paper aims at achieving a prominent solution with the use of Machine vision together with Image Processing and Microcontrollers for identification, recognition, and processing of the cotton image as such and picking the cotton with robotic arms to yield maximum production in a day per hectare. Research and development in perceptual system for robots enabled the agricultural sector to catch hold of the technology in reducing the overall cost. These intelligent robots use variety of visual sensors to detect objects with respect to their identity, position, color, orientation in 3D pattern at the fields. This paper also proposes at the new algorithms in Image processing of the cotton to extract the feature, modeling and matching. These are Artificial Intelligence for Robotic Vision, Image Processing for Segmentation, feature measurement such as invariants, size and shape, texture and scene analysis and controlling the robotic arms in desired angle. © 2013 IEEE.

Bangaraiah P.,Vignan University | Ashok Kumar P.,Vignan University
International Journal of Pharma and Bio Sciences | Year: 2013

This investigation handles the adsorption of methylene blue dye from aqueous solution using "Grewia orbiculata Rottl." Leaves. Effects of different parameters such as agitation time, adsorbent size, adsorbent dosage, initial concentration of methylene blue in aqueous solution, volume, pH of aqueous solution on removal of methylene blue are determined. From these investigations, one gram of "Grewia orbiculata "Leaf powder of 82.5μm size is found to remove 90% of 20 mg/l methylene blue from 30ml of aqueous solution in 30min. These results indicate that adsorption of methylene blue is increased with an increase in adsorbent dosage and decrease in adsorbent size. A significant increase in percentage removal of methylene blue is observed as pH value increased from 4 to 7.28 and percentage removal is marginally increased from 1 to 4. The percentage removal decreased as pH value increased beyond 7.28. Freundlich and Langmuir isotherm models describe the adsorption data very well indicating favorable adsorption of methylene blue adsorbent. Freundlich isotherm is relatively more suitable than Langmuir isotherm. Hence based on results obtained it is found that Grewia orbiculata Leaf powder is effective in methylene blue removal and can be appreciably considered as most versatile, economical and feasible adsorbent for removal of methylene blue from aqueous solutions.

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