http://dlib.iit.ac.lk/xmlui/handle/123456789/65 2026-04-06T22:09:30Z 2026-04-06T22:09:30Z Vivekanandan, L Jayasena, V S D http://dlib.iit.ac.lk/xmlui/handle/123456789/437 2020-05-27T10:46:11Z 2011-01-01T00:00:00Z

Link between the expectations of retail banking customer and electronic banking solutions Vivekanandan, L; Jayasena, V S D Asian banks are continuing to introduce innovative electronic banking solutions to their customers as a means of increasing accessibility of banking services and service levels and also offering multiple financial benefits. However, the question is, can banks rely on the strategy of providing innovative electronic banking solutions to increase their customer base? This study was conducted to identify the level of acceptance of electronic banking solutions as a replacement to traditional branch banking. A survey was conducted and data was collected from a sample of 404 banking customers living in the Western province of Sri Lanka. Results of the study reveal that retail banking customers expect banks to provide high service levels through traditional branch-based banking in comparison to electronic services; i.e., banking customers do not feel that a bank branch could be replaced by electronic-based solutions per se

2011-01-01T00:00:00Z Perera, Sandun P Koggalage, Ravindra http://dlib.iit.ac.lk/xmlui/handle/123456789/436 2020-05-27T10:39:17Z 2011-01-01T00:00:00Z

Personal image and video organizer with person-based navigation Smart-PIVO system Perera, Sandun P; Koggalage, Ravindra At present in many next generation software's biometric recognition has been included as a key facility. The Key advantage of using biometric recognition technologies over traditional approaches is the ability of gaining high accuracy in results. Face recognition can be considered as one of such popularly used technology. In this research it has been used to solve problems when organizing personal media galleries such as videos and images .Since the growth of digital cameras and camera integrated mobile phone usage, the amount of personal media files kept in databases are growing rapidly. Handling huge databases have been very tedious and time consuming task. The main purpose of the proposed system is handling those large media databases efficiently. It helps to categorize personnel images and videos intelligently in computers. Smart-PIVO application uses face detection and face recognition techniques to automate the process, which gives the advantage of accurate arrangement of data in large media datasets. This research paper presents the proposed solution along with prototype results.

2011-01-01T00:00:00Z Priyadarshana, Lahiru L Lokuge, Kulari http://dlib.iit.ac.lk/xmlui/handle/123456789/435 2020-05-27T10:34:26Z 2011-01-01T00:00:00Z

InteractiveDisplay: A computer-vision-based solution to retrofit existing flat displays into interactive surfaces Priyadarshana, Lahiru L; Lokuge, Kulari This paper outlines InteractiveDisplay, a novel and cost effective solution to create vision-based interactive surface systems by retrofitting existing regular displays. The proposed solution uses a regular off-the-shelf web camera as the main input device, and the raw image data captured by the web camera are processed using several image processing algorithms such as, background subtraction and skin color detection, to identify foreground objects. InteractiveDisplay's configuration addresses complexity and cost related issues with currently available computer-vision-based interactive surfaces. The proposed system provides an opening for more people to experience a new level of interactions with computing systems using the existing and commonly available technologies. The presented system is capable of responding in real-time for user interactions and provides a cost-effective configuration that requires minimum engineering efforts to set-up.

2011-01-01T00:00:00Z Kulasuriya, Helini K A Perera, M. S. U. http://dlib.iit.ac.lk/xmlui/handle/123456789/434 2020-05-28T02:45:18Z 2011-01-01T00:00:00Z

Forecasting epileptic seizures using EEG signals, wavelet transform and artificial neural networks Kulasuriya, Helini K A; Perera, M. S. U. Electroencephalograms (EEG) are signal records of electrical activity of brain neurons. EEG, which is a compulsive tool, used for diagnosing neurological diseases such as epilepsy, besides of techniques such as magnetic resonance and brain tomography (BT) that are used for diagnosing structural brain disorders. This paper describes a novel approach for forecasting epileptic seizure activity, by classifying these EEG signals. The decision making consists of two stages; initially the signal features are extracted by applying wavelet transform (WT) and then an artificial neural network (ANN) model, which is a supervised learning-based algorithm classifier, used for signal classification. Wavelet transform is an effective tool for analysis of transient events in non-stationary signals, such as EEGs. The performance of the ANN classifier is evaluated in terms of sensitivity, specificity and classification accuracy. The obtained classification accuracy confirms that the proposed scheme has potential in classifying EEG signals.

2011-01-01T00:00:00Z