Browsing by Author "Karunananda, A."

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Financial Practices and Performance of Small and Medium - sized Enterprises in Sri Lanka
(2011) Karunananda, A.; Jayamaha, A.
The objective of this research is to find out the financial practices among Small & Medium-sized Enterprises (SMEs) in Sri Lanka. Further, it finds out the impact of financial practices upon business performance amongst SMEs in Sri Lanka. The SME sector has become a crucial segment and a major section of private sector in developing countries. Therefore, for the developing countries, it is important to accelerate the growth of SMEs in order to gain sustainable development. However, poor record keeping, inefficient use of accounting information to support their financial decision-making and the low quality and reliability of financial data are part of the main problems in financial management concerns of SMEs. Therefore, through this research an attempt is made to ascertain the comprehensiveness of financial practices adopted by SMEs in Sri Lanka and evaluate whether financial practices have an impact on performance of these organizations. The data and information required for the study are obtained through a questionnaire survey conducted. The primary concern is with the various financial practices within cooperating SMEs. Here, financial systems and their review, financial audit, historical and future-oriented financial reporting practices and historical financial statement analysis practices are all considered. Secondly, the study is able to establish some associations exist between the comprehensiveness of financial practices adopted by SMEs in the study sample and measures of SME performance and the relationship were evaluated by using correlation coefficients. The findings suggest a significant difference in comprehensiveness of financial practices between small enterprises and medium-sized enterprises in study sample, with these practices being more extensive in medium-sized concern. Further, the findings establish that the comprehensiveness of financial practices may have some potential as an explanatory factor for business performances in SMEs. Overall, findings seem that SMEs who are complying with financial practices are performing well than the SMEs, who are not complying with financial practices.
Human-mind-inspired processing model for computing
(Mind Soc, 2020) Weerakoon, C.; Karunananda, A.; Dias, N.
Among various computing models, it is difficult to find a model inspired from the human mind to improve the computational efficiency of the computer. In fact, the human mind becomes competent in responding for the inputs, resourcefully and mindfully acquiring knowledge and experience over continuous processing with the time. Further, as it is possible to find deeper explanation for the human mind in the Buddhism, the introduction of a computing model imitating the human mind based on Buddhist Theory of Mind (BTM) to enhance the computational efficiency, would be a great research challenge. According to the BTM, human mind is a continuous thought process which arise as per the conditions. Imitating this processing model in the human mind, a computing model called Six-state Continuous Processing model was introduced exploiting 24-causal relations in BTM. This paper discusses this profound Buddhist theoretical approach that was used in order to derive the Six-state continuous processing model.
New Processing Model for Operating Systems
(Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2016) Weerakoon, C.; Karunananda, A.; Dias, N.G.J.
The computer plays a vital role in executing programs to solve problems. Further, for each and every such program, a process must be created, and all the required resources should be allocated to the process. In fact, the management of these processes is one of the most important jobs to be accomplished by an operating system. Moreover, by observing different behaviours that the processes display, the researchers have introduced variety of processing models such as two-state model, three-state model, five-state model, and seven-state model to increase the processing power of the computer. Here, the state of a process is related to the current task that the process does, and the term use for a state can be changed from one operating systems to another. Although, they have gained improvements, so far they have failed to produce a processing model to fully utilize the underline hardware architecture. Meanwhile, we made some observations on real world scenarios which revealed that how the human mind works is rather different from how the processing models incorporated in to the computers work till then. Furthermore, the human mind conditionally evolves with the time by drawing associations among the existing and newly arriving data and instructions. Having this insight, the research we conduct introduces a new eight-state processing model, which executes continuously depending on the presented conditions to enhance the processing power of the system. There, one additional state with the name “Terminate” with four new actions such as Ready-to-Ready, Ready-to-Terminate, Exit-to-Ready/Suspend, and Exit-to-Ready have been introduced to the existing seven-state processing model. In addition to those, two of the existing actions such as New-to-Ready/Suspend and New-to-Ready have been modified. In doing these changes, a set of fifteen from twenty four causal relations in Buddhist theory of mind, which can be exploited in explaining any phenomenon, has been applied. In order to depict the changes on each and every action, and to do the experiments, particular algorithms have being designing and these algorithms are to be integrated to the Kernel of the operating system. After doing these implementations, new processing model can be compared with the existing model by executing the same program for multiple times in the operating system with and without the new model and recording the time take in each round. Then the dependent two sample t-test which is more powerful and descriptive, can be applied on the results. Further, to check the quality of the new model a parametric test can be applied on the results of a survey conducted on a single group of users who has worked on the operating system with and without the new processing model.
Pseudo-Meigs syndrome secondaray to pedunculated leiomyoma associated with intra uterine pregnancy
(Sri Lanka College of Obstetricians and Gynaecologists, 2006) Dias, T.D.; Herath, H.M.R.P.; Ganeshananthan, S.; Perera, M.; Karunananda, A.
No Abstract Available
Simulator for guiding towards most appropriate mindfulness meditation approach
(Faculty of Science, University of Kelaniya, Sri Lanka, 2016) Rajapaksha, M.; Karunananda, A.
Mindfulness is one of the best cognitive skills which helps to save the energy of a particular person. Mindfulness can be considered as a part of Vipassana meditation which was found by Lord Buddha before centuries ago. Guiding towards meditation is not an easy task since it is quite hard to understand the current status of the meditator’s mind. Because even for the meditator it is hard to explain the guider, what’s going on his mind due to rapid changes of his thoughts. Proper identification of five hindrances (pancha neewarna): sensory desire (kamachchanda), ill-will (byapada), sloth and torpor (thina-middha), restlessness (uddhacca-kukkucca) and skeptical doubt (vichikitchca) offers nice way to detect when mindfulness goes wrong. Brain computer interfacing which is the emerging technology used here, directs communication pathway between an enhanced or wired brain and an external device. Mind waves of the meditator is captured using NeuroSky Mindwave Mobile headset and then find the relationship between them and library of meditation expertise’s mind waves. Mind wave patterns of meditation expertise library is created capturing EEG (Electroencephalography) waves of expertise which is captured through non-invasive interface to brain, then using Fast Fourier Transformation (FFT) produce an optimized conversion of EEG with output values of alpha, beta, gamma, theta and delta. The gathered data is passed to an ANN to identify the significant patterns of expertise. Capturing EEG signals method has used due to its fine temporal resolution, ease of use, portability and low set-up cost. Simulating engine developed is going to be tested with people who are following different meditation approaches(karmasthana). The system identifies the relationship between distracting factors and expertise mind waves provide the meditator guiding towards most appropriate way of meditation pattern.