arXiv subjects

R. G. Ragel

Publications and source records attributed to R. G. Ragel.

22 records · Page 2Linked to original sources

arXiv2014

Authorship detection of SMS messages using unigrams

SMS messaging is a popular media of communication. Because of its popularity and privacy, it could be used for many illegal purposes. Additionally, since they are part of the day to day life, SMSes can be used as evidence for many legal disputes. Since a cellular phone might be accessible to people close to the owner, it is important to establish the fact that the sender of the message is indeed the owner of the phone. For this purpose, the straight forward solutions seem to be the use of popular stylometric methods. However, in comparison with the data used for stylometry in the literature, SMSes have unusual characteristics making it hard or impossible to apply these methods in a conventional way. Our target is to come up with a method of authorship detection of SMS messages that could still give a usable accuracy. We argue that, considering the methods of author attribution, the best method that could be applied to SMS messages is an n-gram method. To prove our point, we checked two different methods of distribution comparison with varying number of training and testing data. We specifically try to compare how well our algorithms work under less amount of testing data and large number of candidate authors (which we believe to be the real world scenario) against controlled tests with less number of authors and selected SMSes with large number of words. To counter the lack of information in an SMS message, we propose the method of stacking together few SMSes.

cs.CL↗

arXiv2014

Hardware accelerated protein inference framework

Protein inference plays a vital role in the proteomics study. Two major approaches could be used to handle the problem of protein inference; top-down and bottom-up. This paper presents a framework for protein inference, which uses hardware accelerated protein inference framework for handling the most important step in a bottom-up approach, viz. peptide identification during the assembling process. In our framework, identified peptides and their probabilities are used to predict the most suitable reference protein cluster for a given input amino acid sequence with the probability of identified peptides. The framework is developed on an FPGA where hardware software co-design techniques are used to accelerate the computationally intensive parts of the protein inference process. In the paper we have measured, compared and reported the time taken for the protein inference process in our framework against a pure software implementation.

cs.CE↗

arXiv2014

Axis2UNO: Web Services Enabled Openoffice.org

Openoffice.org is a popular, free and open source office product. This product is used by millions of people and developed, maintained and extended by thousands of developers worldwide. Playing a dominant role in the web, web services technology is serving millions of people every day. Axis2 is one of the most popular, free and open source web service engines. The framework presented in this paper, Axis2UNO, a combination of such two technologies is capable of making a new era in office environment. Two other attempts to enhance web services functionality in office products are Excel Web Services and UNO Web Service Proxy. Excel Web Services is combined with Microsoft SharePoint technology and exposes information sharing in a different perspective within the proprietary Microsoft office products. UNO Web Service Proxy is implemented with Java Web Services Developer Pack and enables basic web services related functionality in Openoffice.org. However, the work presented here is the first one to combine Openoffice.org and Axis2 and we expect it to outperform the other efforts with the community involvement and feature richness in those products.

cs.SE↗

arXiv2014

User Friendly Line CAPTCHAs

CAPTCHAs or reverse Turing tests are real-time assessments used by programs (or computers) to tell humans and machines apart. This is achieved by assigning and assessing hard AI problems that could only be solved easily by human but not by machines. Applications of such assessments range from stopping spammers from automatically filling online forms to preventing hackers from performing dictionary attack. Today, the race between makers and breakers of CAPTCHAs is at a juncture, where the CAPTCHAs proposed are not even answerable by humans. We consider such CAPTCHAs as non user friendly. In this paper, we propose a novel technique for reverse Turing test - we call it the Line CAPTCHAs - that mainly focuses on user friendliness while not compromising the security aspect that is expected to be provided by such a system.

cs.HC↗