Portal Software

‘It is in your moments of decision that your destiny is shaped’- Tony Robbins Computer science has taken the world like a storm. There is no way one can escape the importance of computer science as it has permeated almost all industries, helping them grow; be it in the field of production, management, marketing, research, data management, vendor management, after sales service and many other aspects. It is for this and several other countless reasons that I believe that I have made the right choice

Computer science department Data security – Lab # 1 Lab Description Set-UID is an important security mechanism in Unix operating systems. When a Set-UID program is run, it assumes the owner’s privileges. For example, if the program’s owner is root, then when anyone runs this program, the program gains the root’s privileges during its execution. Set-UID allows us to do many interesting things, but unfortunately, it is also the culprit of many bad things. Therefore, the objective of this lab is

the students (Odom, 2016). Odom (2016) indicates that social communication through developing social media applications on smartphones contributes to learning efficiency. Indeed, a study by Wankel et al. (2013) found that mobile software applications such as Skype, a software application that students can use to communicate via voice or group conferencing, video conferencing, and data (text message) conversation, allows students to communicate/collaborate, which

business, software will have to continue to change with that growth. Many software companies that currently cater to businesses have already begun the move to cloud based services. Companies like Intuit with their QuickBooks product are starting to offer a cloud based version of their software. Many companies that offer Human Resource Management, Customer Relationship Management, and Enterprise Resource Planning software packages have already moved to a solely cloud based off software package. Many

I UNDERSTAND YOUR PLIGHT You have a moment of inspiration; you sit down at the computer and start pounding away at the keyboard creating savvy words with coherent purpose. You get a hundred-words in and – Poof! – It's gone. You watch it disintegrate into literal nonsense and you can't find the words to put it back together. – Right click – Delete – Start over. You pick up your instrument and start playing; you're suddenly struck with the fact everything you do sounds the same. The same notes, the

Another research by Nader, Ahmed and Zahari (2009) on “Virtual teams for new product development as an innovative experience in research and development engineers” also shared the same observations by noting that, organizations in automotive industry can gain insights on product launching through free knowledge that can be obtained from internet sources, before executing their internal plans. According to him, this knowledge should first be synthesized by the employees through special meetings and

A processing element (PE) is an abstraction that is most useful in the standard to illustrate some concepts and is essentially a virtual scalar processor. A compute unit (CU) is composed of one or more processing elements and local memory. A device is a collection of compute units. A multi core CPU or multiple CPUs in a multi socket machine constitute a single device. The separate cores are compute units. A command queue is attached to a single device and submits work to it. They are created within

e. Correlating Branch Predictor: The 2-bit BHT uses only the recent behavior of a single branch to predict the future behavior of that branch. BHT contains prediction regarding the next branch – whether it will be a taken (T) or not-taken (N), but does not supply the target PC value to initiate fetch of next instruction into the pipeline. Branch predictors that use knowledge about the behavior of other branches to make prediction are called Correlating Predictors or 2-Level Predictors, where: 1st

The expectation-maximization (EM) algorithm uses incomplete data to estimate the parameters of probabilistic models, and it has been widely used in machine learning. In this paper, EM techniques are applied to Time-domain fluorescence lifetime imaging microscopy (FLIM) systems for estimating fluorescence lifetimes without measuring the instrument response functions (IRF). The results of Monte Carlo simulations indicate that the proposed approach can obtain comparable or better accuracy and precision

documents. The team lead presenter contributed to making sure that the presentations given out by the entire scope of the team were professional and justifiable to the audience. Using ideas from all other team members, the team lead presenter used software programs like Microsoft Powerpoint (for presentations) and Inkscape (for illustrations) to specifically configure all