iosr-JCE   Volume-20 ~ Issue-4 ~ Jul-Aug 2018

Abstract: Security has become a major issue globally and in order to manage the security challenges and reduce the security risks in the world, biometric systems such as face detection and recognition systems have been built. These systems are capable of providing biometric security, crime prevention and video surveillance services because of their inbuilt verification and identification capabilities(Hjelmas & Kee Low, 2001). This has become possible due to technological advancement in the fields of automated face analysis, machine learning and pattern recognition (Wojcik et al, 2016). In the paper, we review some biometric and facial recognition techniques.

Keywords–Biometrics, Face recognition, Face detection, Algorithms, Techniques, System, Verification, Identification, Faces and Image

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Abstract:Predictive model for predicting Tuberculosis infection risk in individuals who came to receive treatment in Tuberculosis and leprosy centre (TBL) Ado – Ekiti was developed. The risk variables were identified and developed a predictive model based on the idenified factors. Interviewed were conducted with the staff of of TBL centre to identify risk variables, individuals that come for treatments at the TBL centres with one of the risk factors data set were generated which amounted to 699 patients data were preprocessed and 10-fold cross validation technique was used to partition the dataset into training and testing data. The model was developed using machine learning technique (Naïve Bayes' classifiers) and the result show that Naïve Bayes' classifiers was suitable in carrying out the task for predicting risk with minimum 92% accuracy of predictive model. Receiver Operating Characteristics area for the model was also 0.959 showing the level of bias was low.

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Abstract: The article investigates distribution law of node-multiplications of T3 tree that is an important valuated binary tree. It exhibits the multiplication of two nodes of the T3 tree merely distributes in specific range on specific levels of the tree. By intuitive figures the paper makes it easy to know what range of the multiplication is. Mathematical deductions are showed in detail ,which can enhance the theory of valuated binary tree.

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