https://ir.kdu.ac.lk/handle/345/3821 Tue, 21 Apr 2026 19:22:03 GMT 2026-04-21T19:22:03Z https://ir.kdu.ac.lk/handle/345/3680 Conceptual Design of Boom Mounted Inverted V-Tail in the Searcher MK II UAV Khadka, Sushil; Abeygoonewardene, JI; Liyanage, NP Abstract: Long endurance surveillance drones are preferred in both military and meteorological applications. Designers aim to enhance vehicle aerodynamics in view of increasing endurance by introducing methods of drag reduction. This research aims to enhance the performance of an existing UAV widely used in Sri Lanka for surveillance, reconnaissance and other military operations. The UAV is propelled by a pusher type propeller, behind which lies a twin boom mounted H-tail for the stability. The propeller wake from the propeller creates a continuous turbulent flow on the tail surface resulting in higher profile drag. A design is proposed to replace the tail section with inverted V-tail configuration with sufficient clearance from the immediate propeller wake. The new design resulted in a reduction of approximately 21% in total wetted area. CFD simulations were carried out to analyse aerodynamic parameters of the reconfigured aircraft, where 18.69% reduction in drag was observed. The static longitudinal static stability is assessed and found to be within acceptable limits. The final design shows a significant improvement in the performance of the aircraft in terms of range and endurance. Wed, 01 Jan 2020 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/3680 2020-01-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/3297 Monitoring mental health of Sri Lankan youngsters during COVID 19 with passive mobile sensing Gunarathne, KAAB; Jayasena, KPN; Smartphones are the key things that offer the collection of behavioral data without knowing the users because it is the most closest and frequently used accessory of daily life. The youngsters in Sri Lanka who are suffering from mental illnesses are not aware of their disease as well as the symptoms. In this article, our main aim is to monitor the behavior of the young people in Sri Lanka at the time of COVID 19, and come up with an analysis of the mental health status and about the symptoms of mental disorders that they are showing. Data can be collected in various ways like, from the default sensors and questioners. Mobile phone usage patterns like the duration of time spent at various locations are the factors that may provide evidence for their behavior. In addition, the daily activities like physical activity and sleep are also affected by these defined mental disorders in this pandemic time. We hope that we could provide the sufficient remedies for those who suffer from mental disorders during COVID 19 with the use of data collected through the sensors and surveys. We ensure the security features when receiving the sensitive data. We think through smartphone sensing, we could contribute to avoiding obstacles in behavioral studies specially in the area of mental health detection. Wed, 01 Jan 2020 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/3297 2020-01-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/3290 Auto-generate Landmine Path, Digitize and Visualize the Data for the Sri Lankan Context Nadeesha, DMIM; Meththananda, RGUI; Vandebona, R Landmines could be identified as affordable and effective defensive weapon, but it has many complexities. Human deaths and injuries, agricultural land degradation, destruction to infrastructure, environmental destruction, economic cost for demining humanitarian aid and etc. Those complexities cause due to the unconventional landmine fields which could be find it difficult to demine. To avoid that, landmines had to be laid according to universally accepted methods in a standard pattern. As per the International agreements, Sri Lankan security forces also follow the standards in warfare. But their data recording mechanism is manual and not efficient.The objective of this study is to introduce a new system to record positions of landmine data in digital format. The design of this research was accomplished in three stages, identification of current practice of data recording, develop the computer program to generate locations of landmines and data visualization and analysis using the result of the computer program. Therefore, through reviewing existing mechanism, lapses of existing system could be identified. By developing a computer program we could be able to auto-generate locations of each landmine on a landmine pattern by two initial inputs. Matlab has been used to develop the program which is a very powerful platform. Qgis is a highly demanded spatial data manipulating system, which is utilized in the visualization and analysis of data. The proposed system will be more convenient, efficient, effective, and accurate system that will avoid the malpractices of recording landmines. Thu, 01 Oct 2020 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/3290 2020-10-01T00:00:00Z https://ir.kdu.ac.lk/handle/345/3289 Impact of Workforce Diversity on Employee Performance in Sri Lankan Construction Industry Dahanayake, WE Workforce diversity provides heterogeneity to a workforce thereby making it a strategic capability to provide competitive advantage to organizations. Effective management of diverse human resource in the right manner can attract profitability to organizations as human diversity enhances the flow of novelty, creativity and innovation. This research study aims to investigate employee performance in construction industry in Southern and Western provinces of Sri Lanka. Out of numerous workforce diversity factors, age, educational background, work experience and attitudes were selected as the independent variables for the study. When conducting the research,120 questionnaires were distributed among employees engaged in the construction industry to collect data through simple random sampling technique. The results indicated that there’s a positive impact of diversity in terms of age, educational background, attitudes and work experiences on employee performance. The outcome of this study would benefit organizations in providing potential considerations to the management and workforce from different perspectives which would enable the distinguishing of dimensions of workforce diversity variables to further improve employee work performance. Thu, 01 Oct 2020 00:00:00 GMT https://ir.kdu.ac.lk/handle/345/3289 2020-10-01T00:00:00Z