https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1693 2026-04-05T20:44:02Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1734 Title: Recognition of Human Facial Expression in 3D Space Authors: Gunathilaka, D.M. Abstract: Facial expression is one of the most powerful resources for people to coordinate conversation and communicate emotions and other mental, social, and physiological cues. Studying the facial expression is one successful way of studying the emotional state as the facial expression represents ones emotional state successfully. We propose a method to identify the facial expression represented by human face in this thesis. Facial expression is an important channel of nonverbal communication as well. If the facial expression can be recognized automatically then the results can be applied in many important areas like human computer interaction which can be used to enable the communication between human and computers in a more natural way. Facial expressions were studied mostly using 2D images or 2D video sequences. Recent advances in imaging technology and ever increasing computing power have opened up new areas of automatic facial expression recognition. We have proposed a method to recognize the facial expression by analyzing the 3D geometry of the human face. The geometry of the human face is studied in 3 dimensional spaces and the facial expression is identi ed. There are six kinds of universally recognized facial expressions: happiness, sadness, fear, anger, disgust, and surprise. The classi cation of the facial expressions is done using an Arti cial Neural Network. 2013-12-19T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1732 Title: Semantically Enhanced Search Mechanism for Web Service Registries Authors: Gunarathna, M.R.D.I.A. Abstract: Service Oriented Architecture (SOA) has emerged as one of the leading technologies that is being used by most of the business entities today in order to carry out most of their day to day business operations. It facilitates di erent business applications operating under in di erent platforms to interact with each other using standard protocols. As the amount of web services developed daily increase drastically new problems like service usage monitoring and automated service discovery emerged. Service discovery is one of the critical factors in SOA in order to get the maximum usage of its features like composition and interoperability. To get the maximum usage of the provided facilities of a service one needs to locate the service correctly. With the rapid increment of the number of available web services, nding out the appropriate service becomes a hugely challenging task. This gives rise to web service discovery mechanisms and di erent service registry mechanisms. Semantic based web service discovery is one such mechanism that could be used to enhance the service discovery phase of a particular registry. The work presented in this research consists of design, implementation and evaluation of a semantic based enhanced service discovery method that could be plugged in to any particular web service registry. 2013-12-19T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1733 Title: A Configurable Tool to Generate Parallel Programming Applications on a Hybrid DM/DSM Cluster Authors: Gunasekara, H.A.D.R.R. Abstract: As the popularity of parallel programming gets increased day by day more people tries to use parallel computing and get the bene ts. According to user requirements and the type of the problem, di erent parallel programming models should be used in order to get the maximum performance. Among di erent kinds of parallel programming models hybrid distributed memory (DM) and distributed shared memory (DSM) model can be mention as relatively new model. Since this is a combination of two parallel programming models users have to eventually use two di erent programming languages and mix them properly. Although there are tools available to assist programmers on creating parallel computing applications, none of them support developing hybrid DM/DSM applications. So the objective of this project was to create such a tool. Using the implemented tool users can creates virtual sub-clusters which use DSM approach for internal nodes communication. Size of the sub-cluster is con gurable and can be changed according to user requirements. Connectivity among sub-cluster can be established using message channels (DM). Once users enter the logic into a single sub-cluster it can be replicated for others and execute in a parallel manner. All the relevant synchronization parts will be handled by the tool. 2013-12-19T00:00:00Z https://dl.ucsc.cmb.ac.lk/jspui/handle/123456789/1727 Title: Audio Content Mapping System for Efficient File Searching Authors: Wijenayake, U.K. Abstract: With the growth of the WWW, 99% of the contents of the future Internet will be in Multimedia Format such as Images, Audios and Videos. But the challenge is how to search these vast, global-scale multimedia resources to nd the preferred one using existing textual based search engines as we do not have a good text based representation of multimedia contents. There is an urgent need of nding an e ective way to cope with the multimedia content ooded on Internet. Currently there are many researches on image and video retrieval and most of those researches are based on content base searching systems. But very little work has been done on the audio portion of a multimedia stream. This research's goal is to ll this shortage by introducing a novel analyzing technique for audio contents. When introducing content based audio searching system, input query type is a very important concern. Using an audio content as an input query will ease the content mapping steps, but in user perspective it is very hard to handle. So the best way is to map the audio content into a textual form and match it with the textual query. To achieve this, the overall design of the system was divided in to two major path ways. The rst one is an audio preparation phase and the second one is user query handling phase. The audio preparation phase extracts some features of the audio by analyzing the content and converts it into textual form. Here in this research, a spectrogram of the audio is generated by analyzing the content and by applying some image processing techniques the average speed of the audio is obtained. Using statistical analysis on this information, all the tested audios are classi ed into several categories based upon their speed. Then a new tag elds named as 'Speed' is added to each audio le and initialized with the classi ed category. In query handling, phase the system maps the input user queries into one of the speed categories. To achieve this, the system applies a semantic analysis on the query and extracts the music speed that the user is expecting. Then, it matches the speed with one of the categories and queries the system with that category and also with the other information. 2013-12-19T00:00:00Z