https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4140 Thu, 26 Mar 2026 11:08:41 GMT 2026-03-26T11:08:41Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4183 Title: Investigation of hidden patterns in Qmatic Customer Journeys in order to minimize the average waiting time Authors: Wijerathna, D.D.U.B. Abstract: A queue management system is a critic component in any sector of business. In fact, all of the queue management systems have the same goal which is to minimize the waiting time for the customers who are in queues. The aim of this study is to investigate the predictive variables which explain waiting time in bank virtual queues of Qmatic customer journeys. The Knowledge Discovery in Databases which is the standard data mining process, is employed as the methodology to reach the target of discovering the hidden patterns. As the data mining engine a GBM model is used for waiting time estimation. One of the most substantial measures in creating the regression model is selecting the optimal feature sets for predicting waiting time. According to the results, the best results obtained when learning rate equals to 0.1, max depth equals to 4, min sample leaves equals to 2 and max feature equals to 0.3. For the training processes, 10- Fold cross-validation is applied. The overall accuracy of the model is 71%. Thu, 22 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4183 2021-07-22T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4182 Title: Simulation of Climbing Plants with Twining Behaviour Authors: Wickramaratne, W. O. N. Abstract: Vegetation simulation in computer graphics is a highly active research area due to its vast variety of applications. Among various types of vegetation, climbing plants are complex to simulate because of their rigid and soft body characteristics. Though state of the art models were able to simulate the climbing plants in a visually realistic manner none of them was able to simulate the biomechanical behaviors of the twining plant. As twinning plants which is a subcategory of climbing plants show abstract mechanical properties, a robust biomechanically accurate model will facilitate many other research areas and it will fill the void on visualizing point of interest scenes of twining plants growth in gaming and cinema industries. Previously, an attempt to fill the void in this area was made by Gunawardhana et al. their proposed model was jittery and it lacked stability. The proposed research was initiated as a continuation of this previous attempt with an aim to synthesize a robust model that can simulate a twining plant in a biomechanically accurate manner by improving the previous model. However, this approach had to be rejected due to its limitations and a state machine driven particle-based novel model was proposed instead. This novel model was able to simulate the effect of circumnutation behavior, twining behavior, seed germination process, secondary growth, and leaf growth in a biomechanically accurate manner. The proposed model was evaluated in terms of realism and performance using a survey and standard performance evaluation measures. Thu, 22 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4182 2021-07-22T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4181 Title: Lip Synchronization Modeling for Sinhala Speech Authors: Weerathunga, W.A.C.J. Abstract: Lip synchronization also known as visual speech animation, is the process of matching the speech with the lip movements. Visual speech animation has a great impact in the gaming and animation film industry, due to the reason that it provides the realistic experience to the users. Furthermore, this technology also supports better communication for deaf people. For most of the European languages, lip synchronizing models have been developed and used vastly in the entertainment industries. However, there are still no research experiments conducted towards the speech animation of the Sinhala language. This is due to the Less contribution towards research development and unavailability of resources. This research is focused on the problem of achieving a lip synchronization model for the Sinhala language. This project presents a study on how to map from acoustic speech to visual speech with the goal of generating perceptually natural speech animation. Initially, this study follows a deep learning approach and terminates due to not having enough video data to achieve a good performance. Next, the experiments on developing a visemes alphabet is carried out using a static visemes approach on a video data set created by the author. The implemented lip synchronizing model was evaluated using a subjective evaluation based on six different categories. The model achieved a 69% accuracy for the subjective evaluation using the static visemes approach. As an initiative research on speech animation for the Sinhala language, this model accurately animates individual words rather than long sentences. Thu, 22 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4181 2021-07-22T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4180 Title: Improving User Experience with Multi-Dimensional Factors for Effective Interactions in a Dynamic Environment Authors: Wattearachchi, W.D. Abstract: In the field of Human-Computer Interaction (HCI), improving User Experience (UX) of mobile devices has become a necessity due to the emergence of smart technologies and with the popularity of using mobile devices in day to day life rather than traditional desktop systems. The main aim of this research is to develop a model for a mobile device that can suggest adaptive functionalities, based on the current user emotion and the context. To the best of our knowledge, there are not any systems which provide not only adaptive interfaces but also provides adaptive functionalities within a mobile device which will enhance the acceptability and usability of that particular system. As a proof of concept, a keyboard named “Emotional Keyboard” was developed through five prototypes using Evolutionary Prototyping, iteratively. As the methodology, Action Research together with User-Centered Design (UCD) was followed which also included two user surveys. Initial decisions were taken after conducting the first survey and Prototypes 1, 2 and 3 have been developed and those have been evaluated with the participation of 40 users. Prototype 3 has incorporated an Artificial Neural Network (ANN) that was trained using the data collected during the evaluations of the Prototypes 1 and 2, which can decide the most optimal emotion by combining the emotions from facial expressions and text. Consequently, Prototype 4 and 5 were developed which can suggest the most affective function based on the emotion and the context (location, time and user activity), by incorporating the data that was collected by conducting the second survey and built a “Preference Tree” which consists the probabilities of choosing functions and also considering the frequently used functions. The evaluation of Prototype 4 and 5 have been carried out with the participation of 18 users, where an individual and general analysis has been performed and proved that with time the model was able to correctly suggest adaptive functions. This evaluation yields the conclusion of the research, thus paving the way to an “Adaptive System with User Control” to improve the acceptability and the usability of a mobile device which aligns with the research aim Thu, 22 Jul 2021 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/4180 2021-07-22T00:00:00Z