iosr-JCE   Volume-21 ~ Issue-3 ~ May-June 2019

Abstract: The human brain tumor is great threat in the world. Now-a-days it is detected in the early age people. So brain tumor treatment has been a challenge to medical science. . If it is detected at an early stage than the chances of saving a life are increased. In this work the proposed strategy to detect and extraction of human brain tumor from patient's Magnetic Resonance Imaging (MRI) scan images of the brain. The essential steps of this paper are image preprocessing, segmentation and feature extraction. First of all, consider MR images of brain tumor as input and convert to gray scale images. The images were filtered by low pass filter for noise removal. Then..........

Keywords: brain tumor, segmentation, magnetic resonance imaging (MRI).

[1]. W. Gonzalez, "Digital Image Processing", 2nd ed. Prentice Hall, Year of Publication 2008, Page no 378
[2]. S. Murugavalli, V. Rajamani, "A high speed parallel fuzzy c-mean algorithm for brain tumour segmentation"," BIME Journal", Vol. no: 06, Issue (1), Dec., 2006
[3]. Hardik Modi, Neha Baraiya, Himanshu Patel. An Efficacious Graphical User Interface Implementation for Automatic Classification of Brain Tumor from Magnetic Resonance Imaging Images Using Image Processing
[4]. Rajesh C. Patil, Dr. A. S. Bhalchandra. Brain Tumour Extraction from MRI Images Using MATLAB
[5]. Yogita Sharma, Parminder Kaur. Detection and Extraction of Brain Tumor from MRI Images Using K-Means Clustering and Watershed Algorithms

Abstract: Biometric authentication has been incredibly useful in services such as access control to authenticate individuals based on their biometric traits. Unlike password or identity documents, biometric traits, such as fingerprint, iris and behavioral characteristic are physically linked to an individual that cannot be easily manipulated. The traditional biometric authentication model uses a server-centric model, where a service provider maintains the biometric database and is totally responsible for the security of templates. The end-users have to fully trust the provider in storing, processing and managing their private templates. As a result the end-user templates could be compromised by outside attackers or even the service provider itself. As a result we propose a user-centric biometric authentication scheme that enables end users to encrypt their own templates with our proposed lightweight encryption scheme at the time of authentication

Key Words: User centric model, Biometric Authentication, Encryption, Decryption, AES Algorithm

[1]. Author A.k. Jain Nandakumar and A. Ross "50 years of biometric research : Accomplishments,challeges,and opportunities." Pattern Recognition Letters Vol.79 pp. 80-105.Elsevier 2016.
[2]. A.K. Jain and K .Nandakumar, "Biometric Authentication : System Security User Privacy." IEEE Computer . Vol 45 no .11. pp 87-91. IEEE 2012.
[3]. S.Rane, Y.Wang S.C. Draper , and P.Ishwar , "Secure biometric : concepts ,authentication architecture , and challenges," IEEE signal processing Magazine vol. 30. No. 51-64 , IEEE 2013.
[4]. M. Naehrig, K. Lauter, and V. Vaikuntnathan, "Can homomorphic encryption be practical?." in proceedings of the 3rd ACM workshop on Cloud Computing Security Workshop, pp 113-124, ACM, 2011.
[5]. J. Katz, A. Sahai, and B. Waters, "Predicate encryption supporting disjunction, polynomial equations, and inner products." In Advances in Cryptology-EUROCRYPT 2008, pp. 457-473, Springer, 2009...

Abstract: In this process, mobile device and service are nowadays improved our learning capacity is highly enhanced. This technology growth and learning methods are very highly improved. At that time, some activities and learning capacity features are lagging to improve our knowledge. Children are most interested to use the mobile device. When due to the rapid growth of technology the teaching and learning system is totally different and also the formal teaching method is changed from mobile device. The teaching method for Tamil language system is lagging to know the children via the mobile device.so, this application is helpful to.........

Key Words: Android Studio, Android Application, Pre and Primary Children, Tamil Language

[1]. Nur Sauri Yahaga, "Mobile Learing Application for Children: Belajar Bersama Dino", Elsevier, The International Conference on Communication and Media, (2014) October.
[2]. Olisah Kingsley S and Mohamed Ismail Z, "Web Based E- learning System for Pre-school Kids", International Journal of Information Syatem and Engineering, Research Paper,Vol. 3,no.1. (2015) January, pp. 213-232.
[3]. Radoslava Kraleva, Velin Kralev,"A Conceptual Design of Mobile Learning Applications for Preschool Children ",International Journal of Computer Science and Information Security, Vol. 14, No. 5, May(2016).
[4]. Celal OZTURK, "An M-Learning Tool for Pre-school kids", Computer Engineering Department, Conference Paper,(2015) April.
[5]. Georgia K. Kokkalia and Athanasios S. Drigas, "Mobile Learning for Special Preschool Education", International Journal of Interactive Mobile Technologies, ResearchGate,Vol. 10, (2016) January, pp. 67-74....