Velagapudi Ramakrishna Siddhartha Engineering College

About: Velagapudi Ramakrishna Siddhartha Engineering College is a based out in . It is known for research contribution in the topics: Computer science & Antenna (radio). The organization has 1307 authors who have published 1155 publications receiving 6163 citations.

Finite element simulation of elastic compliance technique for formulating a test method to determine the fracture toughness of bone

Abstract: Compact Sandwich Specimen (CSS) is the best specimen to test the fracture toughness of bone from small laboratory animals. There exists a direct method to calculate the stress intensity factor (K) of bone using CSS. However, energy release rate (G) is the fundamental measure of fracture toughness of a material. The direct relation between K, G, Young's Modulus (E), and Poisson's ratio (ν), defined for homogeneous materials may not apply to bone, which has a non-homogeneous microstucture. Therefore, a direct test method is required to calculate G of bone using CSS. Elastic compliance technique is used to measure G of a material. This paper presents an experimentally tested and reliable procedure to simulate the elastic compliance technique by finite element analysis. The procedure may eventually be used in formulating the direct test method to calculate G of bone and bone-biomaterial interface, using CSS.

Multimedia Forensic Detection Using Enriched Statistical Analysis

Abstract: Now- a- days, Internet has been used widely, law enforcement authorities have concerns regarding the trafficking of illicit materials like web images and videos, providing privacy and confidentiality to those materials is a major concern. Image data transaction over internet has become a major threat as those images contain hidden payload. People have desire to keep certain sensitive communications secret for thousands of years. In or new age of digital media and internet communications; this need often seems even more pressing. There is a need to identify the Stego data. The art of detecting the messages using steganography referred as Steganalysis. Developing such an application that identifies whether the selected image is a Stego image or not is highly recommended which can scan, detect and notify the user about the presence of payload. This paper is to identify the Stego image, non-Stego images, Stego videos and non-Stego video that can select the hidden payload. The main strength of this work is analysis and testing the proposed approach which has used to detect the hidden payload.

Brain Tumor Detection in MR Imaging Using DW-MTM Filter and Region-Growing Segmentation Approach

Abstract: Brain tumor analysis is most challenging and emerging exploration area in medical image processing. For appropriate regimen of brain tumor, early detection and scrutiny are essential. To provide better detection of tumor without affecting a normal tissue is a very difficult process. So as to amend the downsides, we propose another novel technique for brain tumor detection through magnetic resonance imaging (MRI). It is a commonly processed method for providing high-quality imaging. It provides higher details about the soft tissue of human anatomy. In this proposed method, MR image is preprocessed by optimized kernel possibilistic C-means algorithm. Then, the image is enhanced by adaptive DW-MTM filter. It helps to neglect the unwanted noise from the MRI. Finally, the image is segmented by region-growing algorithm. The segmented image is utilized for the detection and diagnoses of brain tumor in earlier stage.

Solid Wastes as Cushion Material to Prevent Swell Potential of Expansive Soils

Abstract: Volume changes caused by expansive soils are responsible for the distress of structures. The available methods are not very effective in reducing the heave in expansive soils. An attempt has been made using solid wastes to mitigate the heave in the expansive soils for lightly loaded structures. Cushions made up of two solid wastes. Viz., (1) Ground granulated blast furnace slag and (2) Quarry dust were tried. Comprehensive studies of “Swell and cyclic swell–shrink of expansive soil with the lime treated solid wastes for various thicknesses” were carried out. XRD and SEM analysis were also conducted on the cushion material to understand the mineralogical composition and spatial variations in properties including chemical characterization, texture and orientation of materials. The results revealed that the increase in the thickness of cushion leads to a drastic reduction in the swell strain.