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Guntūr, India

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.

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.

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.

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.

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.

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