International Postgraduate Research Conference (IPRC)

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    Conceal Communication via MP3
    (Faculty of Graduate Studies, University of Kelaniya, 2015) Eranga, D.M.S.; Weerasinghe, K.G.H.D.
    Hiding messages for various security purposes have become highly interesting topic on now a day. Encryption provides the ability of data hiding. With development of the technology, people tend to figure out a technique which is not only capable in hiding a message, but also capable in hiding the existence of the message. The current study is conducted in order to hide a text message in an MP3 file. The major aim of this research is the ability to hide text message in MP3 and retrieve the hidden text message. The research is introduced a new system called StegMP3 v1.0. Steganography of mp3 is more challenging due to wider dynamic range of the Human Auditory System (HAS) rather than Human Visual System. Research objectives are secrecy, verification, truthfulness, assure unapparent perceptual transparency of mp3 file (cover object) and the object covering secret messages and send/receive mp3 files. Least Significant Bit (LSB) is the core tactic which changes the last bit from a byte. This system doesn‘t change the mp3 file and doesn‘t increase the size of the carrier file. Thus, the existence of the message cannot be detected. MP3 consists of packets and each packet includes header and data. The system uses unique approach to guarantee the original quality of mp3 and secrecy of the message. However, the impartiality of dispatch before and after is assured. The system facilitates to enjoy the music while processing. The system is evaluated by conducting a survey among IT professionals. The program quality has been accepted 84.37% and 89.59% accepted that the program like to be available in the internet. This program is suitable for safe and careful preservation of sensitive records. The StegMP3 v1.0 is a free, simple and quality assured software tool new to the area. In future, the system should be upgraded with cryptographic involvement and increase the message capacity support with text files rather than text.
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    A Smartphone Based Traffic Information System (AFromT)
    (Faculty of Graduate Studies, University of Kelaniya, 2015) Amarasekara, A.A.T.M.; Weerasinghe, K.G.H.D.
    Today traffic congestion is a growing problem in many metropolitan areas. It can have a big impact on our lives, career, future and even our safety. Several solutions have been proposed over the years to address traffic congestion. Traffic Information Systems (TISs) can play a significant role towards creating cities with improved traffic conditions. A smartphone based traffic information system is a cost-effective way to collect traffic data, leveraging existing communication infrastructure such as the cellular network. A traffic monitoring system based on GPS-enabled smartphones exploits the comprehensive coverage provided by the cellular network, the high accuracy in position and velocity measurements provided by GPS devices, and the existing infrastructure of the communication network. In this project, Location Based Services (LBSs) was used for the purpose of getting real time traffic information. When the user gives the destination of the tour, then the system provides the optimal route with minimum traffic, from the current location, according to the average speed of the other users on all the alternative routes. Also every user can communicate with other online users to cognizance the current traffic conditions, through messages. The experimental evaluation has shown that, because of this AFromT being introduced through the GPS Navigator, road users will be able to avoid traffic jams, unpredicted short way road plans as well as any unforeseen emergency changes of roads, road block etc., will be instantly communicated to the AFromT user. In addition to these features, AFromT will automatically inform the user, when they exceed the speed limit.
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    'PATH FINDER' Application for android
    (Faculty of Graduate Studies, University of Kelaniya, 2015) Dasanayaka, D.M.N.K.; Weerasinghe, K.G.H.D.
    The population growth and technology development has increased traffic congestion in urban areas. If people can get traffic information before starting their journey, they can use alternative routes to avoid traffic instead of sticking in the traffic congestion. And also when it comes to long trips, it is better if the driver can roughly get an idea about how much of money will be needed to be spent on fuel. Our intention was to develop an android application which is able to find the best route between source and the destination, considering the traffic jam and the minimum distance. Additionally the proposed system will facilitate users to reach the nearest fuel filling station when fuel is running low by providing information about the fuel condition of the vehicle while they are driving. The traffic information forecasting has been done with the use of previous traffic count of selected route. Generally, prior data pattern labels have been used to train the Artificial Neural Network (ANN) to identify the traffic conditions. The shortest path is generated with the use of ‗Dijkstra's Algorithm‘. The challenge that we had to face was gathering data regarding traffic count in Sri Lankan roads at a given time because there is no proper way to collect traffic data. So we had to observe daily traffic count (vehicle count) in a selected route. We collected vehicle count during 10 days of period. According to the observation results we created simulated data set. Our total number of records was 388. In this case 70% of the data was used to train the network, 15% was used to validate and rest was used to testing purpose. The accuracy of the traffic prediction was 99.5% according to the results of data trained using ANN. Another challenge that we had to face was creating communication between neural network and the android application. To transfer data between JAVA program and the MATLAB neural network we had to use transferring medium. So to overcome this challenge we used TCP/IP socket communication which has the ability to call Java directly from within MATLAB. This application follows client server architecture where MATLAB environment is the server and android application is the client.