Research Symposium-2011
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Browsing Research Symposium-2011 by Subject "Computer Science"
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Item Collaborative Knowledge Centralization Approach via self Propagating Multi Agent Community Development(Uva Wellassa University of Srilanka, 2011) Koggalahew, D.N.; Amararachchi, J.L.; Pilapitiya, S.U.; Tharanga, K.G.D.Note: See the PDF Version Most researchers in Artificial Intelligence to date, have dealt with developing theories, techniques, and systems to study and understand the behavior and reasoning properties of a single cognitive entity. Al has matured, and its' endeavors were capable of addressing more complex, realistic, and large-scale problems. Such problems are beyond the capabilities of an individual agent. The capacity of an intelligent agent is limited by its knowledge and its computing resources Sycara, 1998). Multi agent systems can be defined as loosely coupled networks of independent entities called agents, which have individual capabilities, knowledge and resources, and which interact to share their knowledge and resources, and to solve problems beyond their individual capabilities (Wikipedia, 2010). The issue of knowledge sharing has been an important topic in multi-agent research. SESEME will address most of the above mentioned limitations in this domain and the final deliverable will be an agent society which is capable of self-learning and training new agents. Agents' communication is one of the defining characteristics of a multi agent system. In traditional linguistic analysis, the communication is taken to have a certain form (syntax), to carry a certain meaning (semantics), and to be influenced by various circumstances of the communication. SESEME can be differentiated from many other past efforts that have been carried on. SESEME addresses the problem of self-learning by agent itself (Capable of taking the knowledge as it is and no human enrolment).Efficient Methodology of Knowledge Representation using ontology and its own experience. Introducing a new methodology of knowledge distribution and train other agents. Instantiate new agents relevant to the domain. The system starts its learning process once it receives a text document (in .doc, pdf and .html formats) or even it receives an URL from the domain expert. First the system identifies the given content by using natural language processing and it ignores the ambiguity, complexity and the conflicts among the read content. The read content will be used to create or update its knowledge over the specified domain. The Centralized Self learning module (CESLM) is been facilitated with some additional features like adoption of existing ontology and domain experts feedbacks. Each sub agent consists of an ontology that represents its basic knowledge retrieved from CESLM and the system facilitates the updating of sub agent's knowledgeItem Development of Fast and Low Cost vision-Based 3D Scanner for Surface Registration of 3d Shapes(Uva Wellassa University of Srilanka, 2011) Piyathilaka, J.M.L.C.; Ekanayake, R.M.T.C.B.Note: See the PDF Version A 3D scanner is a device that inspects three dimensional objects to collect data on its shape and possibly its appearance .The collected data can then be used to re-engineer, three dimensional models useful for wide variety of applications. Unlike conventional 2D scanners used in office environment which can only scan plane objects like images on paper, these devices are used extensively by the entertainment industry in the production of movies and video games. Other common applications of this technology include industrial design, orthotics and prosthetics, reverse engineering and prototyping, quality control/inspection and documentation of cultural artifacts. 3D scanning technology can be used to produce highly value added products in existing local industries. Potential uses of 3D scanning technology in the Sri Lankan industries are endless. Reconstruct replicas of precious artifacts, national monuments are possible applications. These replicated models have higher demand in local and international markets. Another application area is the garment industry. The 3D scanner enables us to examine the human body in ways never before possible, including the shape of a cross section, slice area, surface area, and volume. This not only makes the body measurement process much more convenient for the customer, it also estimates the need for changing rooms. This technology can be used to manufacture custom stitched highly value added garments for international markets. 3D scanning can also be used in quality control and inspection. It can precisely analyze the "as built" condition of parts after they have been manufactured. Typically, non- contact technology is used to quickly inspect the overall shape and size of parts, quickly detecting issues such as overall scale issues. 3D scanners existing in the market are in the range $100k to $400k. In our previous research (Ranasinghe et al., 2010) we developed a scanner projecting laser beam onto the object and capturing video sequence while rotating the platform via a stepper motor. Recorded video sequence is then processed to construct the 3D shape of the object. Main limitation of this project's outcome was that scanning process took more than 3 minutes to complete, dimensions of the object were not recorded and image processing and surface construction was done off-line. In the present research, we further developed the existing system in order to overcome these limitations. We introduced a spiral shaped platform that replaced the circular platform. Since the radius of the used spiral shaped platform changes as a function of rotation angle we were able to record the rotational angle real time by image processing the video. Also the known dimensions of the spiral shaped platform are used to calibrate the dimensions of the scanning object. Introduction of the spiral shaped platform reduced the scanning time considerably and allowed recording the dimension of the objects real-time.Item Intelligent Ontology based Question Answering System for Medical Domain(Uva Wellassa University of Srilanka, 2011) Koggalahewa, D.N.; Amararachchi, J.L.; Tharanga, K.G.D.; Pilapitiya, S.U.Note: See the PDF Version Irrespective of the domain, the main aim of a Question Answering system is getting a question from the user, comprehending it, searching the answer in an efficient way and presenting the answers to the user. Many methods have been devised for this purpose. This basic idea is using ontology for representing the knowledge and developing the knowledge base. Although the ultimate aim of question answering is finding the exact answer to any question in any context. In today's world of automated content processing, this is inherently a hard task because without a restriction imposed either on the question type or on the user's vocabulary, the question answering process gets a big hit even at the question interpretation phase. The published medical literature and online medical resources are important sources to help physicians make decisions in patient treatment Cimino et al., 2003. Question answering is a rapid-developing technique that automatically analyses thousands of articles to generate a short text, ideally, in less than a few seconds, to answer questions posed by physicians. Such a technique provides a practical alternative that allows physicians to efficiently seek information at point of patient care. Physicians usually have limited time to browse the retrieved information. For example, studies found that physicians spend on average two minutes or less seeking an answer to a question, and that if a search takes longer, it is likely to be abandoned (Radomski, 1986). Although there are a number of annotated medical knowledge databases available for physicians to use, studies found that most of the resources are not frequently used by physicians in large hospitals due to busy work schedule in their lives (Sackett et al., 2000). Physicians often need to consult literature for the latest information in patient care (Siang et al,. 2001). Information retrieval systems (e.g., PubMed) are frequently used by physicians. Another evaluation study showed that it took an average of more than 30 minutes for a healthcare provider to search for answer from the PubMed, which means "information seeking is practical only 'after hours' and not in the clinical setting" (Wikipedia, 2010).Item A Study on Impact of Risk and Benefits of Outsourcing towards the Business Performance in Financial Institutions in Sri Lanka(Uva Wellassa University of Srilanka, 2011) Sameera, P.A.N.; Sutha, R.J.Note: See the PDF Version Throughout the world, usage of Information Technology (IT) has been increasing with the globalization. Presently every organization utilizes the IT based treatment in their common business practices. Network management, application development, data management, maintaining infrastructures and providing hardware are the services that are involved in booming the IT scenario. Furthermore, the IT consultation and the IT solutions for the organization are the treatments which are offered by IT services providers. When the IT decisions are implemented by the organization, they consider the cost of implementation of IT infrastructures. It may relatively be a significant investment that cannot be borne by the organization within their cost structure. In the Sri Lankan context, the IT involvement in the business process has now been increased with a rapid enhancement of Information Technology. Global consulting giant, A.T. Keameys, Global Services Location Index, 2006 highlights Sri Lanka among the top 50 outsourcing destinations. Sri Lanka finds its place in the index at the ranking of 29111 among the 50 nations which were considered by AT Kearny. The A.T. Kearney Global Services Location Index analyzes the top 50 services locations worldwide against 41 measurements in three major categories and they include the cost, people's skills and availability and business environment.