Computational

“Rabbits and wolves” Introduction The computer simulation named “Rabbits and wolves” is about models and simple systems. In the simulation, there are three main organisms, rabbits, wolves and grass all put together in a forest ecosystem. An ecosystem is a set of organism within a defined area or volume that interact with one another and with their environment (Miller & Spoolman). A system is a collection of elements or components that are organized for a common purpose (Rouse, 2005).

INTRO In the world we live in today, more employers than ever before are looking to hire individuals who have experience with computer programming and coding. The growing job market in this field requires that more students learn these skills in order to bring their knowledge into the workplace. However, some students do not have this opportunity, as they have never been introduced to computer sciences. There are several reasons why this may occur, but one of the most prevalent is that students

“…life can be much broder once you discover one simple fact: Everything around you that you call life was made up by people that were no smarter than you. And you can change it, you can influence it. Once you learn that, you’ll never be the same again.” When I heard these words by the late Steve Jobs in a video that was just 1 minute 42 seconds long, it left a big impact and changed the way how I looked at the world. Following closely the rivalry between the companies Microsoft and Apple and their

Stevens Institute of Technology is a technically oriented university with a diverse set of majors not limited to just engineering. From engineering students to history majors, Stevens makes sure to highlight the importance of understanding technology in today’s world. Computer science is one of the more prominent majors outside of the field of engineering and the Stevens freshmen in computer science have created a discourse community for all those taking entry level computer science courses. According

Chapter 4 Mathematical Model to Predict Compressive Strength of Concrete Composites 4.1 Introduction Compressive strength is defined as the measured maximum resistance of a concrete to axial loading. Compressive strength of concrete is one of the main structural requirement to ensure that the structure will be able to carry the designed load. Compressive strength is also used as a measure of quality, such as durability and resistance to weathering. The properties of the concrete develop as a result

SYNAP T IC P LAS T ICI TY - L EARNING WI THIN A NEURAL NE TWORK The human brain is a very powerful computational device because it is able to learn from previous experiences, and remember these experiences. It is able to do this because, as and when it is stimulated by new inputs, synaptic connections within the brain change (shift, appear, disappear) and efficacies (weights) of existing synapses also change to effectively remember these inputs and experiences. Learning refers to the ability of neural

INTRODUCTION TO DELTA WING: The with Planform area in the shape of a Triangle is called a Delta wing. Supersonic flow is completely different from subsonic flow in many respects. Such differences impact the design philosophy of aircrafts for supersonic flights in comparison to subsonic flight aircrafts. Our study deals with the design and subsonic flow over a delta wing. Supersonic aircrafts usually have highly swept wings. A special case of that with triangular planform is called a delta wing. Though

broadcast monitoring and forensic applications. Various requirements of a digital watermarking system include Imperceptibility, Robustness, Security, Payload and Computational complexity. The main requirement of real time DRM systems is lesser computational complexity and high robustness. This chapter proposes and analyses a robust and computational efficient Image watermarking technique in spatial domain based on Inter Block Pixel Difference (IBPD). The cover image is divided into 8×8 non overlapping blocks

had a suspicion of plausible answers; they were so often wrong." – Arthur C. Clarke, Rendezvous with Rama. I believe that the above words of sci-fi writer Arthur Clarke have multiple connotations – to life, human nature or science. Or even computational studies. Higher ideologies aside, I am certain that I had always possessed a predilection towards fields that involved a scientific mindset – fields that required great humility along with the obvious and much needed eagerness to learn. If mere

Artificial neural networks (ANNs) are computational algorithms loosely based on the human biological nervous system which work to model statistical data. An ANN “consists of processing elements known as neurons that are interconnected to each other and work in unison to answer a particular problem [, and] can be used in places where detecting trends and extracting patterns are too complex to be detected by either humans or other computer techniques.” Although recent in their explosion in popularity