The proposed music magazine is called "Live, Love Music" and will feature pop artists like Justin Bieber, Rita Ora, and One Direction. The target audience is 16-21 year old female students interested in music. Each issue will profile at least five artists and include interviews, features, and opportunities to win concert tickets. The magazine will be published by Future PLC and use a pink, blue, and white color scheme with a price of £1.99.
Forecasting a Student's Education Fulfillment using Regression AnalysisRam G Athreya
Our government spends substantial amount of resources in educating our children. Additionally several welfare schemes are introduced aimed especially at underprivileged children to ensure that all of them complete a basic level of education. In spite of these measures many students do not complete their basic education.
The aim of this project is to formulate a Supervised Learning Algorithm that will aid in identifying such students who have a higher likelihood of not completing their education.
To perform this task the algorithm will perform Logistic Regression Analysis on historical data of students from a given school. The historical data includes basic background information (features) such as gender, community, number of siblings etc. It must be noted that the historical data also contains information on whether the student completed his/her education, which is the outcome we are interested in. Typically a student finishing education will be denoted using a value of 1 and a student not finishing will be denoted with a value of 0.
Based on the training (historical) data a logistic classifier can be built. Such a classifier after learning from the training set will develop specific weightages for each of the features. These weightages can then be extrapolated into an equation that can be used for prediction.
That is we can apply the equation on a current student (whose background we already know) to calculate the probability that he/she will complete his/her education.
Such an algorithm will be beneficial to government agencies since it can serve as an early warning system using which they can take more proactive action to prevent a student from dropping out. Policy makers can also use it as a tool to identify schools that are more vulnerable and direct their resources and energies to help them.
A Public Cloud Based SOA Workflow for Machine Learning Based Recommendation A...Ram G Athreya
Over the past decade the field of Cloud Computing has been the focus of intensive research. In this paper we propose a framework that will simulate the architectural setup of a cloud environment and examine how it can leverage Apriori and Sequential Pattern based recommendation algorithms through R. Furthermore, we present a multi layered application encompassing its backend architecture, user interface built using the responsive web design technique and its development workflow. The proposed system was also exhaustively load tested using Apache JMeter to ensure its reliability at scale and the experimental results are presented.
Semi-Automated Security Testing of Web applicationsRam G Athreya
Market research survey on Internet attacks reports that more than 70% of the attacks are on the application layer. This is because 1. More valuable information (electronic money details) is at the application level and 2. Relatively there are more unaddressed vulnerabilities. Considering the fact that there are still inadequate adoption of security development practices across the numerous application development communities, the security testing of the web applications becomes highly critical and rigorous.
In our project we have created a penetration testing tool (Black Box Testing Tool) that will check for vulnerabilities in a semi – automated fashion on a target web application. We have tested and demonstrated the functionality and effectiveness of our tool by running this tool on 1. On a target vulnerable web application created by us and 2. On live web sites of a customer organization. The results have been revealing and have been documented appropriately in the following report. We have also provided recommendations as part of corrective action against the discovered vulnerabilities and statements of best practices based on ISO27002 and such other organizations as a preventive action in order to avoid recurrence of such vulnerabilities.
1. Proposal For My Music Magazine
• The name of my music magazine is “Live, Love Music”, for the
genre of my magazine is pop. The magazine will include a variety
of stories to keep the reader engaged for example
interviews, features my magazine will feature at least five
different artists (Justin Bieber, Rita Ora, One Direction, Emile
Sande and Professor Green) in each issue, appropriate for
different age groups. The target audience for the magazine will be
16-21 year olds (females) mainly targeted at students that are
passionate about music as it will include successful young
students that have chosen music as their future career, my
magazine is different from the other magazines out in the music
industry as it will give the audience a chance to win concert
tickets and it would also include tips for those who want to
become a part of the music industry in the future. The colour
scheme of my magazine will be pink, blue and white. The price of
my magazine will be £1.99.
• To publish my magazine I will use Future PLC it creates high-
quality multi-media products which reach our audiences
online, on mobile and in print. Future attracts more than 45
million unique visitors a month online and is one of the world’s
leading publishers on tablets such as the Apple iPad.
2. Mastheads
I have tested out many
mastheads for my
magazine however many
of these fonts don’t stand
out as much and would
blend in with the main
image. Therefore I have
chosen my final masthead
and I think it is appropriate
for , my target audience
and it stands out from the
rest of them
The colour of
the masthead
3. Layout For Magazine Front Cover
Masthead
Issue/Date
Main Image
Cover lines
Barcode
4. Layout for my magazine-Contents
page
Contents
page
content
images