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Problem statement: Deaf and dumb needs assistance from a technical box that takes movements of lips to identify the words. This technical article provided appropriate model implementation of flexible lip model for better visual lip reading system. Approach: From the frame sequence of words, Active Shape Model (ASM) based lip model provided local tracking and extraction of geometric lip-feature. Two geometric criteria define required geometric features and its variations in the sequence. Results: The feature established machine classification using Analytic Hierarchy Process (AHP), a relative weight finder. AHP presents weight vector to fuzzy classifier to decide the video frame sequence belonging to a respective word. Conclusion: The suggested model tested on a total of 5 different sample databases results in 83.2% accuracy over the other combinational algorithms. Key words: Active shape model, analytic hierarchy process, fuzzy classifier, INTRODUCTION Identification of a word is from a video frame-sequence with the help of a statistical classifier using a snapshot database has been attempted in this study. Compared to the [...]

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 is 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 are discussed in this study. Results: A modified approach is identified and handled to generate random numbers and used to retrieve records from a database Conclusion: The suggested modified approach is more suitable for retrieving records from a database of even smaller size. Key words: Minimizing redundancy, record retrieval, objective type question bank, mid-square technique, mid-product technique, INTRODUCTION An important aspect of education process is examination. Teaching, learning and evaluation are the different components of education system. Evaluation is carried out at various stages in a number [...]

Diabetes is one of the most common diseases present in human beings. It is well known that diabetes is a metabolic disease with no permanent cure but on early detection longevity can be increased. This research work focuses on predicting the early onset of diabetes. The diabetic dataset from UCI Machine Learning Repository is used. The necessary preprocessing techniques have been carried out to make the data more robust and suiTable.for further processing. This research work proposes two feature selection and ensemble boosting techniques resulting in four combinations (models) to predict the presence of diabetes in persons. Also, a novelty is introduced in further reducing the number of features selected by the feature selection techniques. The reduction in the number of features will reduce the memory and time complexity of the model. Among the models proposed, Light Gradient Boosting (LightGBM) with Recursive Feature Elimination (RFE) as feature selector has produced better performance. Further, LightGBM with least features gave satisfactory results. [ABSTRACT FROM AUTHOR]