Browsing by Author "Liyanage, S"

Now showing 1 - 7 of 7

Open Access
Gesture driven smart home solution for bedridden people
(Association for Computing Machinery, 2020-09-21) Jayaweera, N; Gamage, B; Samaraweera, M; Liyanage, S; Lokuliyana, S; Kuruppu, T
Conversion of ordinary houses into smart homes has been a rising trend for past years. Smart house development is based on the enhancement of the quality of the daily activities of normal people. But many smart homes have not been designed in a way that is user friendly for differently-abled people such as immobile, bedridden (disabled people with at least one hand movable). Due to negligence and forgetfulness, there are cases where the electrical devices are left switched on, regardless of any necessity. It is one of the most occurred examples of domestic energy wastage. To overcome those challenges, this research represents the improved smart home design: MobiGO that uses cameras to capture gestures, smart sockets to deliver gesture-driven outputs to home appliances, etc. The camera captures the gestures done by the user and the system processes those images through advanced gesture recognition and image processing technologies. The commands relevant to the gesture are sent to the specific appliance through a specific IoT device attached to them. The basic literature survey content, which contains technical words, is analyzed using Deep Learning, Convolutional Neural Network (CNN), Image Processing, Gesture recognition, smart homes, IoT. Finally, the authors conclude that the MobiGO solution proposes a smart home system that is safer and easier for people with disabilities
Open Access
More than just investment: Causality analysis between foreign direct investment and economic growth
(PLoS ONE, 2022-11-03) Nupehewa, S; Liyanage, S; Polkotuwa, D; Thiyagarajah, M; Jayathilaka, R; Lokeshwara, A
This study examines the causal nexus between Foreign Direct Investment (FDI) and the economic growth of seven (7) regions encompassing 117 countries. A more recent panel dataset over the period 2010–2020 was analysed using the Granger causality approach and panel VAR/block exogeneity test to conduct predictive analysis among the panel series. Wavelet coherence techniques too were adapted in bringing novelty and further justifications to the research in exploring the interaction effects of the variables, which are yet to be popularised in the studied discipline. The empirical results indicate the presence of bi-directional causality between FDI and economic growth globally and in the Asian region. In contrast, the causality is uni-directional in the American region. A non-directional causality was discovered in European, Oceanian, Mediterranean, and African regions, and the findings were consistent with the outcome of the wavelet coherence technique results. The study further classifies the regions into three cross-market categories such as developed, emerging and frontier markets. The results imply no causality for most developed and emerging economies in the regional analysis. Findings also provide insights for governments and policymakers worldwide to formulate policies on directing FDI flows and propositions for a host country to become a more conducive destination for FDI and accelerate economic growth.
Embargo
An Overview of Social Engineering in the Context of Information Security
(IEEE, 2019-01-31) Kaushalya, T; Randeniya, R. M. R. S. B; Liyanage, S
Social engineering in the context of information security is the exploitation of human psychology to gain access into secure data. Human emotion can act as both a strength and a weakness. When it comes to the world booming with technology, human emotions which are completely unrelated to the matter is made to relate through social engineering. Social engineering employs `traps' to pry on human emotion and its vulnerability, taking advantage of the flaws of human psychology. Information security breaches utilising social engineering techniques are vast, so that social engineering in this context is a topic which could not be neglected. This research paper presents an overview of social engineering attacks and suggested defence mechanisms. An introduction to social engineering attacks are given, with context to the current trends and related vulnerabilities. Main reasons for the spread of social engineering attacks in the current context are also presented. Attack frameworks are presented and defence approaches are proposed at the end.
Embargo
Regional emissions and climate impact: analysing carbon dioxide and methane effects on temperature and sea levels in Asia
(Springer, 2025-10-26) Punchihewa, C; Liyanage, S; Badurdeen, S; Gunaratne, T; Jayathilaka, R
Climate change and its impacts are felt worldwide, and with increasing anthropogenic emissions, many international efforts are centred around mitigating emissions and meeting climate targets. The Asian continent has made the most significant contributions to global emissions, with China, India, and Russia generating the largest share of emissions. Given Asia’s vulnerability to climate change, the study addresses the literature gap by examining the regional impact of anthropogenic carbon dioxide (CO2) emissions and methane (CH4) emissions on mean surface temperature (MST) and the effects of MST on mean sea levels (MSL) through panel regressions focusing on the period from 1993 to 2020, considering 45 countries. The study found that regional CO2 and CH4 emissions had a significant positive impact on MST at a 1% significance level, and MST had a positive impact on MSL at a 5% level of significance. The study has focused on continental sources of anthropogenic emissions and applied econometrics over traditional climate models to enable a more nuanced, granular, region-specific understanding of emission impacts for targeted policy development. It has proposed targeted policy measures to mitigate emissions, highlighting the importance of regional collaboration among Asian countries in achieving emission reduction goals.
Embargo
Smart wheelchair to facilitate disabled individuals
(IEEE, 2019-12-05) Jayakody, A; Nawarathna, A; Wijesinghe, I; Liyanage, S; Dissanayake, J
This paper describes the design and implementation of a voice controlled smart wheelchair for disabled whom the manual operation is difficult due to lack of physical strength. The main objective of this research is to develop a smart wheelchair to facilitate disabled individuals which can be operated with lesser effort while operating the wheelchair. The proposed wheelchair can be controlled through voice commands which enables the user to control the wheelchair with less effort. This aids the disabled in carrying out daily activities independently within indoor environments. The proposed solution has five modules namely, speech recognition module, obstacle avoidance module, autonomous navigation module, health monitoring module, and central system controller. The wheelchair operates in two modes called manual mode and the autonomous mode. This paper presents a smart wheelchair that makes the disabled individuals' life easier with technology. Further this paper elaborates testing and evaluations carried out to prove the proposed title.
Open Access
Unmasking climate vulnerability in Africa: the role of CO2 and CH4 emissions on rising temperatures and sea levels
(Springer Nature, 2025-05-02) Gunaratne, T; Liyanage, S; Punchihewa, C; Badurdeen, S; Jayathilaka, R
Climate change influenced by anthropogenic emissions is a global occurrence affecting the Mean Surface Temperature (MST) and Mean Sea Level (MSL) patterns. The African continent contributes to the lowest Greenhouse Gas (GHG) emissions globally. However, GHG emissions, particularly Carbon Dioxide (CO2) and Methane (CH4) emission patterns, show a continuous increase in the African region, reflecting the importance of practising economic growth in the continent with sustainable environmental policies to meet future global climate targets. Given Africa’s increasing emissions and the continent’s vulnerability to climate change, this study contributes to the existing literature by assessing the continental and country-wise impact of CO2 and CH4 emissions on MST and the resulting impact on MSL through Fixed Effect (FE) panel estimation and Simple Linear Regression (SLR). The research employs data from 1993 to 2020 for fifty-four African countries. The study’s main findings show that CO2 and CH4 positively impact MST at a 1% significance level, and MST positively impacts MSL at a 5% significance level. This study focuses on continent-specific and country-specific emissions and their impacts and proposes policy measures to mitigate the emissions in the African continent.
Open Access
Unveiling Climate Change in North Africa Through Carbon Dioxide Emissions and Surface Temperature Dynamics: A Panel Regression and Kaya Identi ty Analysis
(Faculty of Humanities and Sciences, SLIIT, 2024-12-04) Punchihewa, C. R.; Gunaratne, T; Badurdeen, S; Liyanage, S; Jayathilaka, R
Th e North African (NA) region has recorded the highest average Carbon Dioxide (CO2) emissions in Africa and endures a growing rate in Mean Surface Temperature (MST) levels. Focusing on six NA countries: Algeria, Egypt, Libya, Morocco, Sudan, and Tunisia, this study examines the period from 1990 to 2020. A mathemati cal identi ty for anthropogenic CO2 emissions was derived using the Kaya identi ty, expressing individual countries through four drivers: populati on, GDP per capita, energy intensity, and carbon intensity. Panel Regression and Simple Linear Regression (SLR) analysis were further conducted to determine the regional and country-specifi c impact of CO2 emissions on MST. The key fi ndings indicate a notable elevati on in the four drivers among countries, resulti ng in over a 50% increase in CO2 emissions by 2020 compared to 1990. Regression results suggest that regional and local CO2 emissions signifi cantly positi vely impact MST variati ons in the NA region. The study proposes customised local policies to address the drivers of CO2 emissions to miti gate the negati ve climati c consequences of rising CO2 levels.