ITRU - 2009http://dl.lib.uom.lk/handle/123/147212024-03-29T13:59:34Z2024-03-29T13:59:34ZProceedings of ITRU Research Symposium 2009 (Pre Text)http://dl.lib.uom.lk/handle/123/206652023-10-13T00:40:17Z2009-11-01T00:00:00ZProceedings of ITRU Research Symposium 2009 (Pre Text)
2009-11-01T00:00:00ZA trainer system for Olympic Air Rifle/Pistol shooting gameKumarasiri, WCMShiyamala, BSilva, HLKUthuranga, SDWalisundara, HBKarunarathne, GTIhttp://dl.lib.uom.lk/handle/123/84132019-08-08T09:02:19ZA trainer system for Olympic Air Rifle/Pistol shooting game
Kumarasiri, WCM; Shiyamala, B; Silva, HLK; Uthuranga, SD; Walisundara, HB; Karunarathne, GTI
With immense competition in the current sports world, technology has come in to the picture in a substantial way to outperform other competitors in the sport. But, in Sri Lanka, most of the local sportsmen can not gain a proper training which is backed by technology to reach international levels. This paper mainly addresses this lack of technological aid that can be used to assist shooters and their trainers in Air Rifle/Pistol shooting to reach Olympic medals. In addition, we look into a trainer system solution, based on the requirements received from the shooters and trainers which consist of hardware and software components. Hardware components help to handle the physical activities of the sport and to derive inputs from the shooter. The software module which also includes a Decision Support System is used to do the analysis of the results where performance and psychological inputs from the hardware module are analyzed and the result is displayed. The inputs are derived through Infrared. Video processing techniques have been used to process the optimum positions of the movement of the hand. Further this system has been tested and found optimal accuracy. Our solution will become vital to train the shooters with the usage of latest technology in the lowest cost, so that our country can secure a gold medal in Air Rifle/Pistol shooting at Olympic Games
A variant for Chess using an on-line multi player approachAnupama, MKSGalagedara, KGHettiarachchi, DHGKumari, LHANDSamaraweera, SVKDias, DKarunananda, AShttp://dl.lib.uom.lk/handle/123/84122019-08-08T09:03:49ZA variant for Chess using an on-line multi player approach
Anupama, MKS; Galagedara, KG; Hettiarachchi, DHG; Kumari, LHAND; Samaraweera, SVK; Dias, D; Karunananda, AS
Chess is one of the world’s most widespread games. We propose the novel concept of ‘group chess’, with the objective of using information technology as an educational aid for novice chess players, as well as for experienced players to play as groups. In the proposed game, up to thirty players can play chess in two groups. The player who makes the best move at each turn is awarded with marks. Finally the player with the highest marks wins. Artificial intelligence and networking technologies are used in the system. The Alpha Beta pruning algorithm is used to find the best movement out of a set of given inputs. This is a new adaptation of the Alpha Beta pruning which is normally used to find the best possible move. We propose this game for chess learners as well as a novel approach to the game for experienced players. The concept of 'group chess' will direct future development of the game of chess towards a new variant. The game has been named Sanuthi Prayathna.
Multi agent systems for agricultural stakeholdersAdikari, AAPSKarunananda, AShttp://dl.lib.uom.lk/handle/123/84142019-08-08T09:06:56ZMulti agent systems for agricultural stakeholders
Adikari, AAPS; Karunananda, AS
Nowadays, agricultural researches have won a remarkable recognition all over the world. Agriculture is a complex system that involves so many stakeholders who are geographically distributed and connected in various ways. As such, it is inevitable to maintain timely information flow among stakeholders and the change of global behaviour of the system due to slight variation of an entity. This paper reports on the design and implementation of a multi agent system solution to integrate stakeholders in the process of agriculture.
The system has been structured with five agents, namely, Message Agent, Interface Agent, User Profile Agent, Crop Management Agent, and Selling Agent. The Message Agent plays a key role in guiding and passing messages to other agents and Interface Agent displays and distributes the information in a suitable form for the user whereas User Profiler Agent creates individual user profiles according to individual preferences. Crop Management agent and Selling Agent are the two main agents who make decisions using external and internal information. The system has been developed on JADE environment and can connect via web access.