Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Department of Software Systems

School of Computer Science and Engineering

Vellore Campus

Department of Physics

School of Advanced Sciences

Computer Science

Chennai Campus

World University root node

Materials Research Innovations

Synthesis, growth and broadband dielectric characterization of nonlinear optical single crystal: 4-methylpyridinium5-sulfosalicylate

Journal of Molecular Structure

Structural, spectral and birefringence studies of semiorganic nonlinear optical single crystal: Calcium5-sulfosalicylate

VIT Unitversity

Indian Journal of Public Health Research & Development

Lung Cancer Detector Using Image Processing techniques & Classification Through SVM

Background/Objectives: The main objective of this proposed work is to investigate the significance of adaptive beamforming technique and to develop an efficient VLSI architecture for broadband MVDR beamformer in the field of medical ultrasound imaging. Methods/Statistical Analysis: The proposed algorithm is Minimum Variance Distortionless Response (MVDR) for near field beamforming of broadband data which gives better contrast and resolution compared to conventional Delay and Sum (DAS) beamformers and is implemented in frequency domain. MVDR beamformer minimizes the output power by allowing the desired signal to pass undistorted with unity gain. The solution for this optimization problem, involves correlation matrix inversion, which is the challenging part of MVDR algorithm. Findings: MVDR algorithm is applied by finding the inverse of correlation matrix which is a complex matrix. Here four elements are used for simplicity. Calculation of inverse complex matrix is the challenging part of MVDR algorithm where different methods are being used. Here QR decomposition is used which follows givens rotation algorithm. The paper demonstrates the formal verification of the proposed work. Final result is compared with the golden reference model which is designed using FIELD II scanner in Matlab. From the results it's seen that, MVDR beamformer gives a pencil like beamform which shows high resolution and better contrast when compared to DAS. The timing constraints and device utilization parameters are obtained from synthesis report of final architecture designed in FPGA. Conclusion/Improvements: MVDR algorithm gives a pencil like beamformer output with reduced main lobe width and reduced side lobe level. By upgrading number of elements from 4 to 64, it can be made real time.

Electronics

School of Electronics Engineering

Indian Journal of Science and Technology

VLSI Architecture for Broadband MVDR Beamformer

Codification and representation of knowledge from structured and unstructured repositories have been the requirement for Expert Systems designing. Structured repositories remain open for knowledge extraction and representation for building a knowledgebase (KB). ICD-v10 (International Classification of Diseases), a structured repository, is the 10th revision of the collection of Disease codes and health related problems, symptoms, complaints and external causes of injury. ICD-v10 uses a 7-bit code to represent all diseases. The main focus of our research work is to propose new methods for capturing and representing these codes in the forms of Knowledge from Semantic Structured Repository with better materialization, quality and repository usage, along with logical unit and logical entailments to form conceptual relations among them. Apart from creating a new representation structure, this work gives direction on the storage of these structures as Knowledge Unit (KU). © 2015 The Authors.

Fulltext

Procedia Computer Science

Conceptual Graph Representation Framework for ICD-10