https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3160 2026-04-30T13:52:36Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3308 Title: Knowledge Management & Dissemination Mechanism for Academic Intranet (UCSC) Authors: Gunadasa, S.R. Abstract: Recent developments have observed the rise of a new economy where knowledge has become a valuable resource and asset to the universities all over the world. As more and more information and knowledge is created and exchanged, the world has become more knowledge-oriented. This paper examines information/content searching and knowledge sharing behavior among academic staff and students in the “University Of Colombo School Of Computing” in Sri Lanka along with the semantic searching concepts. Factors affecting the willingness to search knowledge and the proposed solution include an intranet which will be used by university students and staff members along with a semantic search technique which will be useful for the research groups and staff members of the university. This thesis consists of semantic search custom web parts which extend the standard SharePoint-Search with Semantic Web features to find documents quicker and more efficiently. They make use of taxonomies that are enriched with semantic information. They guide users actively in the search process, offer alternative search possibilities and provide comprehensive ways to navigate in search hits. Further solution introduces Semantic Web standards to improve taxonomy management features and information access and presentation as well. Also there are semantic web features integrated and developed such as ontology search which process RDF/XML/OWL files. The document includes literature review, analysis and design of proposed solution, implementation, testing results, evaluation, future enhancements and the final remarks. 2015-12-04T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3302 Title: Simulation of Fatigue Levels of Virtual Human Characters According to Different Climatic Conditions Authors: Arambepola, R. S. Abstract: Simulations play an important role when it comes to training in any field of study. It could be varying from sports to medicine to construction to even military training. This thesis is focused on simulating of fatigue and energy, based on different climatic conditions and how virtual humans would react to it. This would be important especially when it comes to the planning and preparation. This research tries to find a solution where simulation engines do take into account changes in climatic and environmental conditions like temperature, wind speed and wind direction as well as the slope of the terrain when calculating the fatigue of the virtual characters in it so that it would add to the realism of the simulation. The simulation engine used for the area of study is VBS and through this engine an external application will be used to set the parameters such as temperature, wind speed and wind direction as well as the slope of the terrain. Thereafter, a virtual character will run for 500m while changing these parameters each time. To validate the results obtained for the different environment conditions the T-Test was carried out for all results against the control of baseline environment factors being considered. By analyzing the results obtained it was concluded that rise in temperature (P-Value = 0.00001), running against the wind (P-Value = 0.00001) and running against the slope of the terrain (P-Value = 0.00001) contributed to increased fatigue levels. Analysis considering changing of temperature, changing of wind speed and changing of terrain slope in a combined instance to simulate realistic behavior also revealed increased fatigue levels in virtual humans. Furthermore, the analysis revealed that when the virtual human was running with the wind (P-value = 0.414449) and when running down the slope of the terrain (P-value = 0.197622) there was no significant impact to the fatigue levels. It can be concluded that this system is able to add value in planning and preparation by simulating fatigue levels of characters when environmental factors such as temperature, fatigue when running against the wind and simulation of fatigue when running up a slope of the terrain. 2015-12-02T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3301 Title: Elevator Group Optimization in a Smart Building Authors: Bamunuarachchi, D.T. Abstract: In this research the elevator group scheduling problem via the use of meta-heuristic optimization techniques is studied. Most researchers have considered the service time as the measurement of elevator performance currently the engineering culture is trending towards the greener technology that weighs the energy consumption of elevator systems for high and mid rise buildings. From service time reduction techniques of the existing body of research a technique based on trip scheduling model and the branch and bound algorithm is independently replicated to study its capacity to produce competitive results. The optimization criterion is modified by adding the energy consumption aspect of the elevator system. Several result sets over different dimensions of the problem space were recorded to evaluate this approach. It is shown that newly proposed technique can achieve better energy consumption measures in wide range of configuration of the problem space with better or approximately equal service time performance. The overall energy consumption reduction is 20% in the general scenario while the service time increase is 15%. The stability of the algorithm is also shown for mid-high rise buildings. 2015-12-02T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/3300 Title: Modelling of modern social behavior in presence of cyber social networks Authors: Bandara, H.M.C.U. Abstract: This thesis contains a comprehensive study of modelling modern social behavior in presence of cyber social networks. Modelling approach used in this study is cellular automata (CA), which is a discrete model study in complexity science. Study is mainly focused on finding any deviation on typical CA model of social dynamic when impact of cyber social networks included. First half of study focuses on modelling up to date study of social dynamics and discussion of sociological theories to verify this modelling approach. Model contains most important aspect of social process that is opinion changing process which is also called opinion dynamics. Demonstrate and simulate CA models open source toolkit (Cellular Automata Visualization Program - CAVP) of cellular automata with visualization functionalities has enhanced and extended. Almost all aspects discussed in this study has been graphically simulated using CAVP toolkit. Second half of the study is focused on including cyber social network impact of influence over typical cellular automata model of social dynamics. These social networks appear as virtual groups over typical population. There are three types of social network users according to their opinion changing process. They are Stubbornness users, Compromise Users and Biased Conformity Users. Stubbornness users do not change their opinion according to the social network opinion. This study has comprehensively analyzed how other two types of users change their opinion according to the impact of social networks. Simulation results shows that compromising users will get assigned stable majority opinion and they if the assigned opinion is opposed to their cellular opinion these users toggle between network opinion and cellular opinion when they belong to strong clusters. This shows that social network users who experience majority of the member in their social network group opinion tends to hold a particular opinion they start conflicting with cellular opinion. On the other hand biased conformity users though they do not belongs to strong clusters they accept the most weighted opinion of network and toggle back to cellular opinion. Therefore, these users are the most affected by social networks and they are very unstable with their opinion changing process. To get more accurate simulations results, the size of the social network group has been considered and simulation has been carried out for small networks size to large networks and all the values are randomly generated and assigned. 2015-12-02T00:00:00Z