Science with specialisation in Computer Systems and Networks. I come from a small town, Rabkavi situated in Karnataka, India. Right through my school days mathematics was my favourite subject. I hit the bull's eye by securing an out of out score in my final year of School. I could solve problems of class 10th when I was in my 8th class. Besides Mathematics, Science was my other favourite. I scored 97/100 in science. The working of computers fascinated me no end and the networking of computers simply mesmerized
in my high school. The kind of environment in which I grew up is, both my parents were graduates in Mathematics and were proficient in the field of teaching Mathematics in engineering level and high school level. So, due to their influence on me, I had developed my interest in the subject and maths was at my fingertips. At that point, I was enthusiastic to learn about the applications of Mathematics. This lead to the important stage in my life, the field of engineering. My high school education and
successful researcher through Master Program from University of Florida, Gainesville. I have excelled in academics so far in every course work involving logic and mathematics. Since childhood, I consistently secured/consistently securing one of the top three positions in the class. In high school, I was among top 0.01% students in Mathematics in the nation with perfect score of 100% and received accolades from the State Government for the same. Later, I was placed among the top 0.5 % student in the state
Research Question How can information theory be utilized to improve efficiency of communication and data storage in modern computing networks? Literature Review Information theory: the backbone of modern communication. Before Claude Shannon published his groundbreaking paper A Mathematical Theory of Communication, information as a quantity was poorly understood. A Mathematical Theory of Communciation put forth the foundation of information theory, the mathematical study of information and
specific application. Codes are used for data compression, cryptography, error-correction and more recently also for network coding. Codes are studied by various scientific disciplines – such as information theory, electrical engineering, mathematics, and computer science – for the purpose of designing efficient and reliable data transmission methods. This typically involves the removal of redundancy and the correction (or detection) of errors in the transmitted data.” (Coding Theory, 2010) There are
The rapid invention going in internet usage has resulted in the media ownership and attention towards intellectual property rights among internet users. In this paper, a Multiwavelet Transform (MWT) based video encoding is proposed. Video watermarking is the practice of inserting an encode information known as the watermark, into an original video in an imperceptible approach. The watermark converts or represents information that can protect the watermarked video, typically identifying the source
quality. While that argument does have some merit, there’s no denying the many more ways technology can better the world. Technology replacing human beings is a good thing because it is efficient and productive, will continue to advance scientific, mathematic, and medical fields, and can unlock new possibilities never before imagined. The first way technology replacing human beings is a good thing is technology breeds more productivity and efficiency. “Technology in the workplace is as much about power
17/07/2012 University of Nairobi - Degree Programmes University of Nairobi A world-class univ ersity committed to scholarly excellence Search Website Quick Links Faculties/Schools/Institutes About UON Academics Admission Student Life Research Contact Us Home > Academics > Degree Programmes > Degree Information > Degree Regulation A-Z List of UON Departm ets a b c d e f g h ijklmn o p q r s t u v w x y z B.sc. (civil Engineering) Degree Code: F16 Duration: 5 Faculty/School/Institute
complexities. These techniques have some defaults, So proposed technique is to overcome all the defaults and performed well compare to above techniques. The aim of this correspondence is to introduce a new low-complexity DCT approximation for image compression in conjunction with a
I encourage you to try writing functions to produce your own fractals! I then turn to my main focus of reviewing the methods for compressing digital images using fractal image compression (FIC) and debate the feasibility and utility of employing fractal image compression. The most ancient and familiar shapes of mathematics are smooth and regular such as the circle, Platonic solids or undulating manifolds that humans strive to perfect in the form of cuboidal glass skyscrapers and sleek cars, but which