http://ir.lib.ruh.ac.lk/handle/iruor/10269 Tue, 05 May 2026 16:08:10 GMT 2026-05-05T16:08:10Z https://ir.lib.ruh.ac.lk:443/bitstream/id/3d7c93a9-e946-47ca-a809-479c6ba2f7fd/ http://ir.lib.ruh.ac.lk/handle/iruor/10269 http://ir.lib.ruh.ac.lk/handle/iruor/10566 Preliminary Pages Wed, 22 Jan 2014 00:00:00 GMT http://ir.lib.ruh.ac.lk/handle/iruor/10566 2014-01-22T00:00:00Z http://ir.lib.ruh.ac.lk/handle/iruor/10564 An agent based simulation for the shape adaption of „Coccus‟ type bacteria colonies Mohotti, W.A.; Kulawansa, K.A.D.T. Agent technology is one of the Artificial Intelligence techniques best suited to address a social or biological phenomenon which involves group dynamics. Moreover, computer simulations are used extensively for studying artificial intelligence applications. Hence, research paper presents a simulator that will be helpful for the researchers in medical laboratories and students in Biochemistry and Molecular Biology to find the shapes in bacterial colonies for their findings. This research focuses on applying the behavior of swarm of agents that interact upon each other to achieve a common goal for bacteria colony shape adaption for Coccus type. The research emerged a computer simulator using the Pediococcus acidilactici species as the sample. The simulator formed a circular shape as the final shape of the colony which is comparable with the laboratory results of given species. The resulted simulator which is developed using NetLogo agent simulation toolkit represents each bacterium as a programmable agent. Simulator allows bacteria to communicate with each other through environment which acts as the message agent to form the ultimate shape of the colon Wed, 22 Jan 2014 00:00:00 GMT http://ir.lib.ruh.ac.lk/handle/iruor/10564 2014-01-22T00:00:00Z http://ir.lib.ruh.ac.lk/handle/iruor/10562 Analysis of protein interactions of pre-eclampsia Vidanagamachchi, S.M. Pre-eclampsia is a pregnancy complication caused by high-blood pressure and protein in the urine in pregnancy. This disease can affect both the mother and the fetus and increase the mother's risk of dying of cardiovascular disease. This can be seen among the Sri Lankan women and it is a major pregnancy problem of them. Several researchers have found several types of genes that involve cause of pre-eclampsia in humans. It is proved that this cannot be seen in other organisms and it was further analyzed by a group of Sri Lankan researchers. According to previous studies, the major family of genes was Epidermal Growth Factor receptor and its associated genes. These genes include EGF, TGFA, AR, HB-EGF, Epigen, BTC and EPR. However, recently more genes excluding EGFR family were detected such as SIAE, a genetic variant of AGT2R and HLA-DQB1. There are several interactions exist between proteins (protein-protein/ ligand-receptor) that affect pre eclampsia. The objective of this research is to analyze the genes and their protein-protein interaction networks that have been proved or suspected as a cause for pre-eclampsia. Wed, 22 Jan 2014 00:00:00 GMT http://ir.lib.ruh.ac.lk/handle/iruor/10562 2014-01-22T00:00:00Z http://ir.lib.ruh.ac.lk/handle/iruor/10559 Age invariant face recognition: A survey Madushika, M.K.S.; Gunawickrama, S.H.K.K. Facial aging is an important yet challenging problem that has recently been added to the problem of the face recognition. Human face varies over time in many aspects, including large inter-user similarity such as facial texture wrinkles, shape weight gain, facial hair, presence of glasses, etc. and large intra-subject variations such as pose, illumination, expression, and aging. Age invariant face recognition recently has gained a significant interest within the image processing and computer vision research community because of its explosively emerging real-world applications in many areas, such as forensic art, electronic customer relationship management, security control and surveillance monitoring, biometrics, entertainment, and cosmetology. This paper presents a thorough analysis on the problem of facial aging and further provides a complete account of the many interesting studies that have been performed on this topic. The face recognition methods that overcome aging fall into two main categories: generative and non generative. Here we discuss a detail analysis of above two approaches that have been proposed for this problem and offer insights into future research on this topic. However, designing an appropriate feature representation and an effective matching framework for age invariant face recognition remains an open problem as no reliable and high performing research result is reportedly implemented. Investigation results related to various illumination conditions, different expressions, biometric performance issues, etc are not satisfactory or not available at all. Wed, 22 Jan 2014 00:00:00 GMT http://ir.lib.ruh.ac.lk/handle/iruor/10559 2014-01-22T00:00:00Z