No abstract

Within the limitations of this study, surface roughness was less on cast CpTi specimens that were finished and polished from the cutters designed specifically for titanium.

Breast Cancer is the rampant issue facing by most of the women these days. Mammography is the most successful modus operandi for verdict of breast cancer. Radiologists view mammograms to perceive the abnormalities. In this paper, we urbanized an algorithm to isolate and extract the malignant masses in mammograms for detection of breast cancer. This exertion is based on the following course of action: (a) Confiscate the background information from the DICOM image. (b)Refurbish the RGB image to gray image (c) Apply thresholding to remove the background information (ROI). (d)Apply median filter on the image to reduce random noise and preserve the edges. (e)Extract the binary image contours. (f)Carry out Area-open on the image and. (g)To end with act upon filling on the resultant image. This method was tested over the real time images of various patients taken from a cancer hospital and implemented using Matlab code. Thus, capable in executing the pre-processed image efficiently and detected the segmentation region which helped in retrieving the mass present in the digital mammogram and hence documented the malignant mass by calculating different features like Area, perimeter, Compactness, Width, Height, Isotropic factor and Eccentricity of the extracted mass.

Background: Tapered implants imitate the natural form of the root. They are known to enhance primary stability by providing pressure on the cortical bone of regions with poor bone qualities and also has a good survival rate as it directs stresses away from the crestal cortical bone while transferring it to the cancellous bone. Purpose: Maxillary anatomic constraints sometimes make it necessary to surgically position implants at angles that are not optimal for prosthetic restorations or by positioning the implant in the area with the greatest available bone, with the intention of correcting the implant alignment at the time of prosthetic restoration. This is made possible, in carefully planned cases with the use of angulated abutments. Materials and Methods: Three tapered implants with triangular, square, and buttress thread designs having a 15° and 25° angulated abutment were created. The implant models were positioned in anterior maxillary bone D2 and D3 and clinical loading conditions simulated. The maximum equivalent von Mises stress values were recorded and analyzed using ANSYS software. Results: The finite element analysis carried out showed less stresses from tapered implant square thread design in D2 and D3 bone with 15° angulated abutment, while buttress thread design performed better in D2 and D3 bone with 25° abutment angulation on axial and nonaxial loading. Conclusion: Bone type is an important factor that affects stress distribution. More stress occurred in D3 bone compared to D2 bone type. Thus, bone type should be carefully considered when choosing the most appropriate implant design.

AESA stands for Active Electronically Steered Array based Antenna. In this type of Radar, the antenna is viewed as a two-dimensional array of radiating elements. Number of radiating elements varies from few hundreds to few thousands. Each radiating element is illuminated with an underlying Transmit-Receive Module (TRM). The AESA system is controlled by Radar Controller Software designed with required GUI controls for accepting data from operator. The proposed Radar Data Visualization Software integrates into Radar Controller Software as an independent module. It uses AESA Radar data that is being handled in Radar Controller Software and presents the data to the operator in wide variety of forms including File view, Tree View, Table view, Beam view etc.,