Intuitionistic Fuzzy Logic Implementation in Image Fusion Technique

Image fusion (IF) is integrating more than one image into a single image. It accepts multiple images as input and produces a single image as an output. Image w needs an image with high spectral and spatial information. It has wide varieties of application in medical diagnostics and treatment. It is more reliable and compact, easily combined with other methods. Different methods were proposed for remote sensing image and medical image fusion. The aim of the proposed technique is to present an image fusion technique using Intutionistic fuzzy logic (IFL).Mis – registration is the major issue of IF and the research work found solution for the problem. Image features were filtered and integrated with IFL and compute pixels. The proposed method produced better results compared to the existing methods. &nbsp

Diabetes Diagnosis Using Fuzzy – Neuro Hybrid Control Model

Diabetes is caused due to an inability of a body to produce or respond to hormone insulin causing abnormal metabolism of carbohydrate which can lead to rising in sugar level in the blood. This work proposed a fuzzy -  neuro hybrid control model to diagnose diabetes in terms of seven symptoms such as an increase in urination, increase in thirst, increase in fatigue, tingling in hands/feet, blurred vision, sores slow to heal and significant loss of weight. 15 patients were diagnosed with sugar levels as followed 9.6 mmol/l, 6.8 mmol/l, 9.1 mmol/l, 11.2 mmol/l, 6.5 mmol/l, 5.7 mmol/l, 11.8mmol/l, 8.9 mmol/l, 7.0 mmol/l, 11.0 mmol/l, 8.5 mmol/l, 9.0mmol/l, 12.4 mmol/l, 9.5 mmol/l and 10.4 mmol/l. The average diagnosis error is obtained as 0.05%, which is acceptable in medical diagnosis. In this regards, it is recommended that fuzzy- neuro hybrid control model is a good soft computing tool for diagnosing diabetes. &nbsp

Acceleration of Biological Sequence Alignment Using Residue Number System

Smith-Waterman Algorithms (SWA) is becoming popular among researchers especially in the field of bioinformatics. The algorithm performance is better among other known alignment algorithms because of the high level of accuracy it exhibits. However, the algorithm performance is at low speed due to its computational complexity. Researchers are concerned with this problem and are looking for various ways to address the issue. Different approaches are adopted to improve the speed, such as the use of a systolic array to accelerate the algorithm, use of recursive variable expansion (RVE) method approach; some implemented the algorithm on software and hardware, etc. This paper used Residue Number System (RNS) approach to the algorithm of Smith-Waterman and carried out hardware implementation on Quartus II, 64-Bit version 12.1 (Cyclone II family) VHDL application software. &nbsp