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Medical diagnostic and imaging system are ubiquitous in modern health care
facilities. The advantages of early detection of potential lesions and suspicious
masses within the bodily tissue have been well established. It can be detected
and assessed many different types of injuries, diseases and conditions with
the aid of the medical imaging that allows medical personnel to look into living
cells non-instructively. Chronic Obstructive Pulmonary Disease (COPD) is the
fourth leading cause of death worldwide and the only chronic disease with increasing
mortality rates. COPD is the name for a group of lung diseases including chronic
bronchitis, emphysema and chronic obstructive airways disease. This study involves
in improving the accuracy over the existing technique using the adaptive region
growing property and Adaptive-Neuro-Fuzzy Inference System-ANFIS classifier.
Initially, pre-processing is carried out for the input image by Adaptive median
Filter technique to make the image suitable for further processing. The contours
of the image will be obtained using region growing technique. The ANFIS classifier
is then used to confirm the suspected COPD cavities. The classification will
be carried out by the features which have been taken from the segmented image.
The proposed technique is implemented in MATLAB and the performance is compared
with the existing technique. From the experimental result it can be said that
the proposed method achieved more accuracy as compared with existing techniques.
Problem statement: An important tool in the field of education methodology is examination. As far as teaching-learning-evaluation process is concerned, the major task associated with the objective-type examination system is the administration of question paper setting. The lack of expertise and time are the major constraints that are encountered in the task of setting objective type question papers. During retrieval of records from a objective type question bank, redundancy may occur. To solve this problem, an approach needed to retrieve records from a database without redundancy. Approach: The task associated in generating the required collection of questions from a question bank, with minimal redundancy as far as possible in the retrieval of records from the question bank using mid-square and mid-product techniques for random number generation were discussed in this study. Results: A modified approach was identified and handled to generate random numbers and used to retrieve records from a database Conclusion: The suggested modified approach was more suitable for retrieving records from a database of even smaller size.
