Symposium on Statistical & Computational Modelling with Applications (SymSCMA)
http://repository.kln.ac.lk/handle/123456789/15543
2024-03-29T08:03:52ZNew Feature Selection Method for High Dimensional Gene Data
http://repository.kln.ac.lk/handle/123456789/15558
New Feature Selection Method for High Dimensional Gene Data
Fajila, M.N.F.; Nawarathna, R.D.
Dimensionality reduction (i.e., feature selection) is an essential technique in data science when handling high dimensional data such as cancer microarray samples. Cancer microarray experiments normally provide a large number of data which is assumed to contain many features, called, genes. However, genes can be either redundant or irrelevant, and thus be removed without incurring much loss of information. A small number of samples with a large number of genes is the major problem in microarray data analysis. In this study, a new machine learning method, namely, hybrid wrapper – filter feature selection is proposed for gene selection. This approach combines the genes selected by both filter and wrapper feature selection methods. Further, it uses a least priority feature elimination procedure where the genes with the lowest priority are eliminated. The propsoed technique is validated and evaluated on two microarray data sets namely, leukemia and colon cancer data sets. With gene selection performed by the proposed method, it helps to classify the leukemia microarray samples with perfect classification (100%) and to classify the colon cancer data set only with two misclassifications giving an accuracy of 90.5%. Results show that the proposed technique is extremely efficient in terms of the computational time too.
2016-01-01T00:00:00ZAndroid Application using Review Mining: Ceylon Tour Guide
http://repository.kln.ac.lk/handle/123456789/15557
Android Application using Review Mining: Ceylon Tour Guide
Nishanthan, M.; Kavitha, S.; Mosharani, S.; Amuthapriya, S.; Vithana, V.N.
In the 21st century, Sri Lanka is one of the most visited tourist countries in Asia. Though, the rate of tourists visiting Sri Lanka is rapidly increasing, most of these tourists do not have a clear idea of where to visit. Several web sites such as Agoda, Trip Advisor let tourists see comments and rate places. There are very few applications which assess these public reviews and provide a comprehensive rating specially tailored to Sri Lanka. Hence tourists end up spending a lot of time and effort in looking for locations of their interest. To overcome this problem, our system, Ceylon Tour Guide presents a Tour guide application that provides a comprehensive rating of tourist locations in Sri Lanka using text mining techniques. Public reviews from well-established tourist web sites such as Agoda are collected and stored in a database. The stored details are mined with the text mining algorithms. With the aid of algorithms, mined data will be categorized into positive, neutral and negative reviews. Using the Android application user can search and see the ratings of the important locations. After ending 30 years of civil war, the tourism sector has a vast development. This application will help popularize the important locations in Sri Lanka including north and thus, help increase the economic growth of the country.
2016-01-01T00:00:00ZAn Attempted Crowd and Floor Management System
http://repository.kln.ac.lk/handle/123456789/15556
An Attempted Crowd and Floor Management System
Bandara, R.M.C.; de Silva, L.N.B.; Bandara, D.D.M.M.; Silva, R.L.C.; Guruge, I.
This research article represents a system which enhances crowd handling and floor management techniques created with the assistance of Closed-Circuit Television (CCTV) and proximity beacons (BLE). With an aid of a desktop application crowd at a particular event/party will be observed with the use of CCTV cameras, which contains a video surveillance system. Video processing will also be used to keep track of a specific number of people roaming around an area and to make sure that no one enters any restricted areas. The visitors who arrive into a particular event will have a mobile application, which would guide them to navigate throughout an entire area and make sure that they do not visit any restricted areas. Bluetooth low energy (BLE) Proximity beacons will be used send signals throughout the generated map containing stalls Via Bluetooth; it also indicates the restricted areas on the map with the aid of the mobile application. This system will be beneficial for both organizers and visitors, organizers will finally find it easy to keep track of people and the visitors will be able to visit the areas they wish to without any difficulty.
2016-01-01T00:00:00ZAutomated Help Aid for Visually Impaired People using Obstacle Detection and GPS Technology: AKSHI
http://repository.kln.ac.lk/handle/123456789/15555
Automated Help Aid for Visually Impaired People using Obstacle Detection and GPS Technology: AKSHI
Kaushalya, V.S.S.; Premarathne, K.D.D.P.; Shadir, H.M.; Krithika, P.; Fernando, S.G.S.
There is an immense population of the visually impaired people around the globe. The motivation of the system is to help blind people where they can move along without a dependent. Since there were existing on blind stick navigation, Akshi composes some unique features. Such as obstacle detection, Pedestrian crossing identification, voice commands detection, outdoor navigation system and a tracking system with the use of Global Positioning system (GPS), Radio Frequency Identification (RFID), Android, and Global system for mobile communication (GSM) Technologies. This research has been developed by user friendly and cost- effective manner with the use of open source software and Hardware devices like Raspberry pi circuit, RFID Reader etc. Specially the research is focused on the safety of the visually impaired people and provide interoperable solutions for the problems that they face in their day-to-day life without any hesitation.
2016-01-01T00:00:00Z