Research Papers - Dept of Computer Systems Engineering

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Start date: 2003Subject: search.filters.subject.Analysis

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Now showing 1 - 7 of 7
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    An Analysis on Different Distance Measures in KNN with PCA for Android Malware Detection
    (IEEE, 2022-11-30) Dissanayake, S; Gunathunga, S; Jayanetti, D; Perera, K; Liyanapathirana, C; Rupasinghe, L
    As Majority of the market is presently occupied by Android consumers, Android operating system is a prominent target for intruders. This research shows a dynamic Android malware detection approach that classifies dangerous and trustworthy applications using system call monitoring. While the applications were in the execution phase, dynamic system call analysis was conducted on legitimate and malicious applications. Majority of relevant machine learning-based studies on detecting android malware frequently employ baseline classifier settings and concentrate on selecting either the best attributes or classifier. This study examines the performance of K Nearest Neighbor (KNN), factoring its many hyper-parameters with a focus on various distance metrics and this paper shows performance of KNN before and after performing Principal Component Analysis (PCA). The findings demonstrate that the classification performance may be significantly improved by using the adequate distance metric. KNN algorithm shows decent accuracy and improvement of efficiency such as decreasing the training time After PCA.
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    Analysis of Searching Algorithms in Solving Modern Engineering Problems
    (IEEE, 2021-08-11) Rathnayake, B. R. M. S. R. B.; Marzuk, H; Senadheera, R. I. A; Vijeyakumar, S; Abeygunawardhana, P. K. W
    Many current engineering problems have been solved using artificial intelligence search algorithms. To conduct this research, we selected certain key algorithms that have served as the foundation for many other algorithms present today. This article exhibits and discusses the practical applications of A*, Breadth-First Search, Greedy, and Depth-First Search algorithms. We looked at several recent research publications on these algorithms (for example, maze solver robots, the eight-puzzle problem, medication prediction, and travel advice) and critically examined their benefits, drawbacks, and challenges. We’ve also done some experimentation with a Python application to see how well these algorithms perform.
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    Singlish Sentiment Analysis Based Rating For Public Transportation
    (IEEE, 2021-01-27) Sharounthan, B; Nawinna, D. P; De Silva, R
    As the primary transportation mode in Sri Lanka, Public transportation is tightly attached with the daily life of the people. The important factor in transportation is providing a door to door mobility. This paper presents a study focused on measuring the service quality of public transportation based on the comments and feedbacks provided by the passengers with the aim of producing a better service for users. Comments were gained from social media and were used to produce a comprehensive rating mechanism to rate the transportation service providers. This tool was developed using natural language processing techniques using the data from the Sri Lankan context. With the popularity of Social Media in Sri Lanka, many people use Singlish (Sinhala written using English scripts) for online communication. The rating engine presented in this paper is capable of performing Sentiment analysis on comments given in Singlish Language in the Transportation domain.
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    Analysis of the Dimensional Change of Woven Fabrics from Loom State to Finished State
    (IEEE, 2018-05-30) Kandemulla, K. A. S. M; Maduwantha, A. R. L; Fernando, E. A. S. K; Niles, S. N; Jayawardena, T. S. S
    Dimensional change of a woven fabric is a challenge in woven fabric production. The phenomenon originates from the dimensional instability of the fabric. Shrinkage is a combined result of numerous factors such as relaxation, dyeing, finishing and the effect of machinery. The significance of this problem has been investigated by several researchers, who focused mainly on the geometry of the fabric during the weaving phase (loom stage) only. To investigate the dimensional changes that occur within a particular woven structure, a number of fabric samples were sent through various finishing processes such as, washing, dyeing & finishing, under the laboratory conditions. The changes were measured either in terms of dimensional change or EPI and PPI values. Using the experimental data and theoretical analysis, a mathematical model has been developed and validated. However initially the focus is laid on plain woven fabrics and it is expected to be further extended to the other woven structures as well.
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    Design and Analysis of An Anthropomorphic Two-DoF Ankle-Foot Orthosis
    (IEEE, 2019-04-19) Ranaweera, R. K. P. S; Abayasiri, R. A. M; Gopura, R. A. R. C; Jayawardena, T. S. S; Mann, G. K. I
    This paper proposes a two-degrees of freedom passive-dynamic ankle-foot orthosis (AFO). In view of enhancing anatomical conformity, an anthropomorphic design is proposed to minimize mechanical interferences between ankle and orthosis. The biomimetic features such as passive stabilizers and dampeners in the proposed mechanism intrinsically support the ankle and foot to maintain stability and improve shock-absorbing ability. The mobility, ranges of motion, and manipulability measures for the proposed AFO have been investigated using mathematical modeling and simulation approaches. The analysis revealed the effectiveness of the proposed AFO in meeting the complex kinematics of ankle joint compared to the predecessors. Potentially, the proposed AFO can serve as a platform to carry out research and development on robotic orthoses for the lower extremity.
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    Design and Analysis of An Anthropomorphic Two-DoF Ankle-Foot Orthosis
    (IEEE, 2019-04-19) Ranaweera, R. K. P. S; Abayasiri, R. A. M; Gopura, R. A. R. C; Jayawardena, T. S. S; Mann, G. K. I
    This paper proposes a two-degrees of freedom passive-dynamic ankle-foot orthosis (AFO). In view of enhancing anatomical conformity, an anthropomorphic design is proposed to minimize mechanical interferences between ankle and orthosis. The biomimetic features such as passive stabilizers and dampeners in the proposed mechanism intrinsically support the ankle and foot to maintain stability and improve shock-absorbing ability. The mobility, ranges of motion, and manipulability measures for the proposed AFO have been investigated using mathematical modeling and simulation approaches. The analysis revealed the effectiveness of the proposed AFO in meeting the complex kinematics of ankle joint compared to the predecessors. Potentially, the proposed AFO can serve as a platform to carry out research and development on robotic orthoses for the lower extremity.
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    PublicationOpen Access
    Analysis of Risks and Bottlenecks of a Poly Bag Manufacturing Factory -A Case Study
    (UNIVERSITY OF MORATUWA, 2008) Gopura, R. A. R. C; Jayawardene, T. S. S
    The material prices of poly bags skyrocket to new heights and forecasters see no end to this trend. Also legal restrictions are imposed on some types of polythene products. In this situation, any entrepreneur engaging in the poly bag manufacturing process faces significant challenges. Therefore, a case study of an analysis of risks and bottlenecks of a poly bag manufacturing factory was carried out for the purpose of modeling and simulation of a poly bag manufacturing factory to improve the productivity to face the underlying challenges. This paper presents the analysis methods, and the results of the analysis are also discussed.