Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Computer science & Control theory. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

OFS Method for Selecting Active Features using Clustering Techniques

Abstract: Feature selection is the important method in data mining. In the traditional batch learning method, it is difficult to retrieve the selected features or data from the large set of dataset. The offline feature selection is difficult because it follows a priori. To overcome the offline selection features we are going to online feature selection by separating as a subset using classification and clustering techniques through that it will create a table and creates the attributes automatically. We cannot predict the range of the table accurately. So we are giving an average range, which can increase or decrease. It has the most relevant and correlated data it forms a subset and compares with the entropy and then it forms a tree construction by the subsets. Through the full input and partial input it produces the efficient and relevant result with any correlation. This will analyze the problem theoretically as well as practically using different data sets.

Dynamic ROI extraction algorithm for palmprints

Abstract: Region of Interest (ROI) extraction is an important task for palmprint identification. Earlier reported works used fixed size ROI for the recognition of palmprints. When the fixed size ROI is used the palm area taken up for recognition is less compared to dynamic ROI extraction. The proposed algorithm focuses on extraction of maximum possible ROI compared to existing fixed and dynamic ROI extraction techniques [7, 19]. The experimental results demonstrate that the proposed approach extracts better ROI on three databases, 1. The PolyU Palmprint Database, 2. CASIA Palmprint Image Database and 3. IIT Delhi Palmprint Database, when compared to the existing fixed size and dynamic size ROI extraction techniques.

Congenital Hypothyroidism: Facts, Facets & Therapy.

Abstract: Background: Thyroid hormone (T3) is essential for normal development of children enabling brain development and somatic growth. However, certain individuals are genetically predisposed with insufficient or no thyroid hormones. Such a condition is termed congenital hypothyroidism (CH). Objective: In the present review, a brief back ground about congenital hypothyroidism, factors associated with CH leading to thyroid dysgenesis and thyroid dyshormonogenesis is elaborated. Additionally, the guidelines for available treatment options, management and follow-up required for patients diagnosed with CH are discussed. Treatment options in terms of treatment initiation and dosage of hormone replacement are discussed. Conclusion: Though CH is considered as the most common neonatal metabolic disorder, it is also easily treatable compared to other metabolic or hereditary diseases. The outcome of CH treatment depends on the compliance of parents early in life and by patients themselves during later part of life.

Design and implementation of an automatic beverages vending machine and its performance evaluation using Xilinx ISE and Cadence

Abstract: This paper describes the design and implementation of an automatic beverages vending machine using FSM as this technique has more advantages compared to previous ones used in vending machine design. The whole design is functionally verified using Xilinx ISE simulator 13.1 and the generated bit stream file has implemented in Virtex 5 XC5VLX50T FPGA board and its physical design has performed using Cadence Encounter and evaluated its optimized parameters.