https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1694 Tue, 28 Apr 2026 11:50:34 GMT 2026-04-28T11:50:34Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1771 Title: Refining Vector Layers Using Satellite Images Authors: Fernando, W.V.A.H.R. Abstract: Vector layers represent features as line, polygons and points. Vector data is an essential compo- nent in a successful GIS as it involves in accurate and precise calculations of spatial measurements involving length, distance and area. Vector data is also capable of generating queries unable to solve using raster data. Such as which houses are within the 100 year ood level of a river, Which learners live in a particular suburb. Most common methods of creating vector data are digitizing of existing maps and satellite images, using data from eld surveys and using computer based algorithms. Accuracy of vector data will greatly depend on the scale of the map, resolution of the satellite image, e ciency of the algorithm, attention to details during digitizing and the ac- curacy of the instruments used in eld surveys. Hence, obtaining data from various data sources could lead to major compatibility issues over data accuracy and data integrity. This project is an e ort to develop a method to re ne existing vector layers using high resolution satellite images to create more accurate and meticulous vector layers. Fri, 01 Jan 0012 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1771 0012-01-01T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1772 Title: Ontology Based Approach for Diagnosis in Personalized Medicine Authors: Fernando, M.B.K.S. Abstract: Due to the complexity of the human body, overlapping phenotypes of patients and complex disease networks, disease diagnosis is a real challenge for the physicians. Medical diagnostic decision support systems like DXPLAIN, HELP, POSSUM, LDDB, Phenomizer etc have been developed as an approach to ease the process of disease diagnosis. Improved patient safety, improved quality of care and improved efficiency in health care delivery are potential benefits of MDDSS. This research proposes a novel and generic mathematical model into differen-tial diagnosis of genetic diseases instead of traditional method of analyzing gene mutations to expose genetic diseases. It is achieved by genotype-phenotype correlation through a common computer science concept called Ontology. Basically emerging genetic mutations of the patient are mapped to the standardized vocabulary called Human Phenotype Ontology (HPO) and subsequently differen-tial diagnosis is done using those terms. Differential diagnosis process is achieved by measuring ontology based semantic similarity by combining information theory and fuzzy relational theory. The system is capable of diagnosing the probability of occurrence of five complex diseases namely Lymphedema-Distichiasis Syndrome, Cornelia de Lange syndrome, Popliteal pterygium syndrome, Cohen Syndrome and Smith-Lemli-Opitz Syndrome. We evaluate our system by comparing the results obtained from our system with domain expert s diagnosis. Fourteen published pre-diagnosed set of real Cornelia de Lange syndrome patients data were used in this attempt. According to the results our system diagnoses Cornelia de Lange Syndrome with an average of 78.32% probability; Smith-Lemli-Opitz Syndrome has 61.35% probability and other three diseases with very low probability values. This thesaurus based appro-ach which considers a correlation of phenotypes and genotype of a patient can be used by a physician to make a better diagnosis of a disease. Fri, 01 Jan 0012 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1772 0012-01-01T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1773 Title: Digital Watermarking Based Video Device Authentication Authors: Fernando, W.K.B.A.K. Abstract: With the rapid growth of current information technologies, generating, editing and dis- tributing of digital multimedia data (audio, video, image, etc.) became increasingly trivial. Digital videos are in the front line when considering about this multimedia rev- olution. Replacement of classical analog videos with trendy digital videos, has made it easy to immediately capture visual feedbacks in to a video. Properly stored digital videos do not age and it is a proof of "this is what happened". But with the help of powerful video editing programs, it is very easy for an amateur to maliciously modify a digital video and create "perfect forgeries". Therefore it is dif- cult to get video records to stand up as 100% secure evidence in court. Even though videos are tending to get manipulated they are very important in many legal issues. Proving origin of a video is one of the important facts that should prove in a legal case where digital video considered as a silent witness such as in the case of a recording by a surveillance camcorder. It's a challenging task determine the origin of a video, as many malicious attackers can easily manipulate a video with the existing video editing tools. This project was conducted to nd a solution to this problem by incorporating video watermarking technology. A novel digital video device authentication approach based on secure self-embedding and real-time watermarking in the uncompressed domain is proposed to nd the origin of a piece of video footage. Real-time watermark embed- ding is achieved by combining all the processes related to watermark embedding, and by shortening the watermark embedding time by reusing the estimated watermark im- perceptibility among neighboring frames. Frequency domain watermarking is used for ensure the robustness. A prototype system is implemented to evaluate the proposed solution. Fri, 01 Jan 0012 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1773 0012-01-01T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1765 Title: SKYLINE: Migration of Virtual Machines to End User Terminals for Performance Optimization and Better Resource Utilization Authors: Wijewickrama, G.M. Abstract: Cloud computing is a vastly moving trend in the modern IT infrastructure. Most of the modern organizations are using thin-clients to make use of the cloud computing infrastructure. In doing so they are removing the general purpose computers from their networks. But these computers have a great processing power intrinsic to them and have the potential to integrate themselves into cloud computing environment to extend it. This research explores the possibility of extending the cloud computing environment to the general purpose PCs that are existing in the network. By allowing the virtual machine instance to execute inside a computer which has high resources would certainly increase the performance and also the responsiveness. And once the user is done working on the instance, he/she can then safely transfer the virtual machine back to the server which could be accessed later. Also, the user must have a clear understanding of the network congestion, speed , the bandwidth as well as the machine con gurations of the host computer. SKYLINE is a mechanism which allows the migration of virtual machines to end user terminals based on network and host machine performance evaluation for better resource utilization. The system consists of a client application and a cloud module and relies on a distributed network for le transfer. The client application is responsible for the assessment of the network performance and machine con guration and decides upon whether it is bene cial for a successful migration. If the migration is not possible or bene cial, the client application will prompt the user to user extended GUI of the virtual machine loaded in the server. The cloud component is responsible for the storage and distribution of the virtual machine instances and also for delegating the GUI to the remote client in cases where the client requests such action. Hence SKYLINE integrates the novel user experience in the Cloud Computing environment with the user experience in conventional computing. In doing so, SKYLINE successfully makes better resource utilization of the general purpose computers in a cloud environment and optimizes the performance of the intended task of the user. Fri, 01 Jan 0012 00:00:00 GMT https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1765 0012-01-01T00:00:00Z