Kalana Abeywardena, an immediate graduate of Department of Electronic and Telecommunication Engineering, University of Moratuwa, won the Migara Ratnatunga Trust Award (All island 1st place – Category A) for the year 2020/2021 which was awarded by the Institution of Engineers, Sri Lanka (IESL) for the best Electronic and Telecommunication Engineering trainee who portrayed excellent performance at Industrial Training. The award (a cash prize and certificate) was presented at the IESL induction and graduation ceremony on Friday, June 17, 2022.
Kalana completed his 6 months industrial training at the School of Computer Science of the University of Sydney, Australia as a Visiting Research Student under the supervision of Dr. Suranga Seneviratne in 2019. During the training, he was mainly engaged in two projects: he developed a cyber security framework to address phishing attacks on websites using computer vision and artificial intelligence and worked on depth filters and artificial intelligence to process Light Field signals to improve their signal power. Moreover, he worked as an undergraduate assistant in a summer program organized by the University of Sydney for international students from China.
Migara Ratnatunga Trust Award is awarded to the high achievers of level 3 industrial training module at the Annual sessions of IESL. The results of the evaluations done by the university training division will be submitted to the IESL, where a few undergraduates would be recognized as high achievers in the compulsory industrial training module in the engineering undergraduate program after a rigorous evaluation among the undergraduates of other state universities.Read More
Nima Wickramasinghe from the Department of Electronic and Telecommunication Engineering (ENTC), together with his mentor Mohamed Athif from the Department of Biomedical Engineering, Boston University (previously an undergraduate at ENTC) have written a research paper, titled “Multi-label Classification of Reduced-lead ECGs using an Interpretable Deep Convolutional Neural Network” which has been accepted to be published in the journal Physiological Measurement as a special issue paper.
In their work, they propose a novel method to identify the presence of 26 cardiac abnormalities in an ECG recording with reduced leads. Even though most of the previous work relies on 12-lead ECGs, classification using reduced leads remained unexplored. In their research, they trained a deep convolutional neural network to classify the ECG recordings and showed that the reduced-lead model performs comparably to the 12-lead model. In addition to accurately classifying the cardiac abnormalities, they have used SHAP (shapley additive explanations: a game-theoretic approach used to explain the output of any machine learning model) to interpret the deep learning model. The authors identified that the model learns almost the same diagnostic criteria used by cardiologists to classify cardiac abnormalities. By analyzing the model through SHAP, they were able to detect why the model underperforms in some of the classes, which was mainly due to the lack of discriminating features in reduced leads, labeling inconsistencies in the dataset, and low number of samples.
Physiological Measurement is a journal that covers the quantitative measurement and visualization of physiological structure and function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. The Sustainable Education Foundation facilitated the collaboration between the 2 authors.
DOI Link to the paper: https://doi.org/10.1088/1361-6579/ac73d5Read More
Mr. Pasan Dissanayake and Dr. Prathapasinghe Dharmawansa of ENTC have Published Two Research Papers in the Prestigious Journal IEEE Transactions on Information Theory
Two research papers written by Mr. Pasan Dissanayake and Dr. Prathapasinghe Dharmawansa of ENTC have been published in the prestigious journal IEEE Transactions on Information Theory. IEEE Transactions on Information Theory is the world’s No. 1 journal in the areas of Information and Communication theory research. This truly exceptional achievement will make the research history of ENTC. This extraordinary academic achievement will be a guiding spirit for the current and future researchers in the entire university system of Sri Lanka. Moreover, it will help place ENTC among the top researchers in information and communication theory in the world. The details of the two papers are as follows.
1. Distribution of the Scaled Condition Number of Single-spiked Complex Wishart Matrices
This paper statistically characterizes the scaled condition number (SCN) of single-spiked complex Wishart matrices by deriving its density function. The statistical characteristics of the SCN and its variants have been instrumental in understanding many physical phenomena across a heterogeneous field of sciences. While numerical analysts and statistical physicists are interested in the behavior of the SCN for white Wishart matrices, the case corresponding to correlated Wishart matrices are of paramount importance in wireless communications and statistics. In particular, the SCN has been used as a performance metric in certain wireless signal processing applications involving multiple-input multiple-output (MIMO) systems, in which the antenna correlation gives rise to the correlated Wishart matrix. Recently, the SCN has been proposed as one of the test statistics for blind spectrum sensing in cognitive radio (CR) systems. The key concept behind CR is to opportunistically utilize the underutilized spectrum in view of improving the spectral efficiency of modern wireless networks. Against this backdrop, this paper leverages powerful random matrix theoretic techniques and the novel density of the SCN to statistically characterize the receiver operating characteristics (i.e., ROC) of the aforementioned detector. Since the modern wireless architectures facilitate the use of large antenna/sensor arrays with comparable observational sample acquisition, the analysis has been extended to the asymptotic regime in which the number of antennas of the detector and the samples diverge at the same rate so that their ratio remains constant. It turns out that, in this asymptotic regime, the statistical power of the SCN based detector can be approximated by the most celebrated Tracy-Widom distribution corresponding to the complex matrices. Moreover, numerical results have revealed that those asymptotic results compare favourably with their not so large dimensional counterparts.
2. The Eigenvectors of Single-spiked Complex Wishart Matrices: Finite and Asymptotic Analyses
This paper investigates the finite dimensional distributions of the eigenvectors corresponding to the extreme eigenvalues (i.e., the minimum and the maximum) of single-spiked complex Wishart matrices. These spikes arise in various practical settings in different scientific disciplines. For instance, they correspond to the first few dominant factors in factor models arising in financial economics, the number of clusters in gene expression data, and the number of signals in detection and estimation theory. In particular, the focus is on the distributions of the squared modulus of the eigen-projectors (i.e., projection of the spiked-vector onto the leading and least eigenvectors) of single-spiked Wishart matrices. This metric is commonly used to infer information about the latent spiked-vector using the eigenvectors of the sample covariance matrix. A concrete example in this respect is the principal component analysis (PCA) in which the eigenvectors of the unknown population covariance matrix is approximated by the eigenvectors of the sample covariance matrix. This metric has further been used in the covariance estimation based on the optimal shrinkage of the eigenvalues of the sample covariance matrix in the high dimensional setting when the unobserved population covariance matrix assumes the spiked structure. This paper leverages the powerful contour integral representation of unitary integrals and orthogonal polynomial techniques to derive closed-form expressions for the densities of the above metrics. A somewhat surprising stochastic convergence result pertaining to the above metrics has also been established. Finally, the same analytical framework has been extended to derive the corresponding destines for real and singular Wishart scenarios; however, with closed-form solutions limited to a few special configurations only.
Team University of Moratuwa Selected as Finalists in the IEEE International Future Energy Challenge 2022
A team of undergraduates from the Dept. of Electronic and Telecommunication Engineering and Dept. of Electrical Engineering at the University of Moratuwa has been selected for the Grand Finals of the IEEE International Future Energy Challenge 2022 for the first time in Sri Lanka. This is a prestigious power electronics competition organized by the Institute of Electrical and Electronics Engineers (IEEE) and sponsored by the IEEE Power Electronics Society, IEEE Industry Application Society, IEEE Power and Energy Society and Power Source Manufacturers’ Association.
The team advisors:
Prof. Udayanga Hemapala – Head Department of Electrical Engineering
Dr. Subdoha Charles – Senior Lecturer at the Department of Electronic and Telecommunication Engineering
Mr. Thilina Ambagahawaththa – Lecturer at the Department of Electronic and Telecommunication Engineering
Mr. Iresh Jayawardana – Graduate of the Department of Electronic and Telecommunication Engineering
The team members from the Department of Electronic and Telecommunication Engineering:
Pahan Mendis – Team Leader
The team members from the Department of Electrical Engineering:
For this competition, the team designed a smart efficient and light microgrid inverter that converts DC power from a solar panel into AC. Since 2010, solar costs have declined 70% to 80% in the world, making solar one of the most economical ways for energy generation. However, integrating renewable and distributed energy resources, such as photovoltaics (PV) and energy storage devices, into the electrical applications requires advanced power electronics, or smart inverters, that provide efficient and reliable power management. The team target to achieve an efficiency greater than 95% and a bulk manufacturing cost less than $200 in their inverter.
The team progressed through the initial selection round where they submitted their proposal for the inverter that caters the set of given specifications. During the semi-final round, 13 teams from prestigious universities in the world demonstrated their hardware design of the proposed inverter. Our team from University of Moratuwa, along with 7 other teams from Europe, Canada, and America, have been selected for the grand finals based on the technical quality of the design and the progress of hardware implementation demonstrated in the semi-final round. The final competition will be held between 27th-29th of July 2022 at University of Tennessee, Knoxville, USA.
The complete hardware prototype of the inverter will be tested for its performance in front of judges and industry experts at the grand finals. A group of students representing the Team UoM is planning to visit the USA with the designed inverter for this final competition.Read More
InnovateFPGA Design Contest 21/22. Asia Pacific and Japan Region – Gold Award for Team AP116 from University of Moratuwa
Our team, AP116, comprised of Pahan Mendis, Chathuni Wijegunawardana and Pamuditha Somarathne from the Department of Electronics and Telecommunication Engineering at University of Moratuwa has won the Asia Pacific and Japan Regional Gold Award at the InnovateFPGA Design Contest 21/22. We convey our gratitude to our valuable advisors, Dr.Ajith Pasqual, Mr.Abarajithan Gnaneswaran and Mr.Kithmin Wickremasinghe.
InnovateFPGA Design Contest is a competition organized by Terasic Inc. in collaboration with the Intel Corporation, Microsoft, Analog Devices, Inc., Arrow Electronics Inc., Macnica Inc., Mouser Electronics, Inc., and Digi-key Electronics. We have been invited to the Grand Finals in Intel Innovation Campus in San Jose, California where the top 12 teams from four regions in the world will present their projects.
This year, the contest focused on exploring solutions that reduces environmental impact and the demand that we place on the planet’s resources. To address this objective, our team brought forth a concept of the Green Machine, a smart, user-friendly, domestic mini-greenhouse system to enable users to grow and efficiently monitor and tend to plants with much ease. This was designed for domestic user to grow their own food in their homes. Also, due its modular design, the farmers can combine multiple units of Green Machines for cultivation in small to large scale farms. The condition within the Green Machine is monitored using a set of sensors and cameras and the sensor and image data is sent to the Terasic DE-10 Nano, a development kit based on Intel CycloneV FPGA, for processing.
The Cyclone® V SoC FPGA HPS consists of a dual-core ARM Cortex-A9 MP Core processor and a rich set of peripherals, which gives the flexibility of programmable logic as well as the functionality of a processor (HPS). Our design makes use of the FPGA as well as the HPS optimally for acceleration and controlling.
The DE-10 Nano processes the obtained data to control the irrigation, ventilation and light needed for the plants for optimal growth and yield using a controller implemented on the Hard Processor System. Furthermore, a convolutional neural network is implemented on the DE-10 Nano to detect abnormalities in the plants. The FPGA portion was used for acceleration and was programmed using OpenCL Language.
After the processing, the sensor and image data are transferred to a Cosmos Database System on Microsoft Azure to be analyzed for further optimizations.
Through our project, we mainly focus on achieving two sustainable development goals.
Goal 2: Zero Hunger
Goal 12: Responsible Consumption and production.
Since the Green Machine is automated, it can be used by anyone. As it is optimized, the food productivity is higher, labor costs are lower, and resources are saved. So, the food can be produced at a lower cost.
As the plants are grown within a controlled environment, the need of pesticides is eliminated. Therefore, the safety and quality of food is ensured which provides significant health benefits. Because of the design aesthetics, the users can gain relaxation and satisfaction. Altogether, our Green Machine is just the first step of creating a vast eco-system that empowers sustainable agriculture.
The project video: https://www.youtube.com/watch?v=kD0ctF4-nac
The project link: https://www.innovatefpga.com/cgi-bin/innovate/teams.pl?Id=AP116&All=1
Sandushan Ranaweera, and undergraduate of ENTC has emerged as the second-place winner in the Asia Pacific Region in the Internet for All Competition organized by IEEE Communications Society which is one of the world premier associations for communication engineers.
In this competition the participating teams or individuals are required to submit a proposal outlining a plan to bring internet connectivity to an identified locality where a clear need of internet connectivity exists. The proposals should explain how if implemented the performance of the infrastructure will be measured, detect technical failures, risk mitigation plan and how the infrastructure will be maintained after the project duration.
Teams or individuals from worldwide were open to submit proposals. Winners were selected region-wise from Europe, Middle East and Africa Region, North America Region, Latin America Region and Asia Pacific Region. The jury picked First, Second, Third place winners with up to 5 honorable mentions per each region. Sandushan Ranaweera’s proposal which won the second place in Asia Pacific Region was outlined a project to give internet connectivity for underprivileged students in rural villages of Sri Lanka using existing common infrastructure.
The constant motivation and guidance of Dr. Tharaka Samarasinghe as the staff advisor of the IEEE Communications Society Student Branch Chapter should be appreciated here since he always encourages students to participate in these competitions. This achievement will uplift the brand name of ENTC and UoM while showcasing the practical industrial knowledge of ENTC undergraduates in international level.Read More
The final year project titled “Object Detection, Tracking and Suspicious Activity Recognition for Maritime Surveillance using Thermal Vision” received the Bronze award for Tertiary Students – Technology category at National ICT Awards NBQSA 2021.
NBQSA, The National ICT Awards Ceremony, provides recognition to outstanding achievements of individuals and organizations in Sri Lanka who have developed high quality ICT products and Tertiary Category – Technology targets the best quality work done by undergraduates in terms of research related to technical solutions.
The award was given for the technological solution provided when it comes to maritime surveillance in Sri Lankan borders and due to the amount of research work carried out during the project which includes a novel approach to Online Real-time Spatio Temporal Action Localization.Read More
Dr. Ajith A. Pasqual Gets Elected as the President of the Sri Lanka Electronic Manufacturers and Exporters Association
Dr. Ajith A. Pasqual, a senior lecturer at the Department of Electronic and Telecommunication Engineering of the University of Moratuwa, has been elected as the president of the Sri Lanka Electronic Manufacturers and Exporters Association (SLEMEA). The aim of the association is to uplift Sri Lanka’s electronic manufacturing industry to boost the economic contribution through electronic exports. Dr. Pasqual will use his knowledge and experience in academia and industry to shoulder this task and bring about impactful changes in Sri Lanka’s the electronic manufacturing and export industry.Read More
B.Sc. Engineering Honours Degree in Electronic and Telecommunication Engineering Receives Full Accreditation
In response to the application for reaccreditation submitted to the Institution of Engineers, Sri Lanka (IESL), the B.Sc. Engineering Honours Degree in Electronic and Telecommunication Engineering of the Department of Electronic and Telecommunication Engineering of the University of Moratuwa has been granted full accreditation for the intake till 2023.
According to the IESL’s official website, “[IESL] being a signatory to the Washington Accord, the four-year full-time engineering degree programmes accredited by the IESL will be considered as substantially equivalent to four-year engineering degree programmes that have been accredited by the other signatories to the Washington Accord. A signatory to the Washington Accord is empowered by the Accord to accredit only those degree programmes conducted within the jurisdiction (country) of the signatory.”
More information on the Washington Accord: https://www.ieagreements.org/accords/washington/Read More
A research paper titled “CeyMo: See More on Roads – A Novel Benchmark Dataset for Road Marking Detection” has been accepted to the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. The research was conducted by Oshada Jayasinghe, Sahan Hemachandra, Damith Anhettigama, and Shenali Kariyawasam under the supervision of Dr. Peshala Jayasekara and Dr. Ranga Rodrigo.
The paper introduces a novel road marking benchmark dataset for road marking detection in advanced driver assistance systems and autonomous vehicles. Though understanding road markings is a fundamental perception task in autonomous vehicles, the development of robust road marking detection algorithms has been a challenging task in the research community due to diverse road, illumination, and traffic scenarios. The introduced dataset covers a wide variety of urban, sub-urban, and rural road scenarios with diverse illumination and weather conditions. The multiple annotation formats and the clear evaluation metrics with the evaluation script will promote novel road marking detection algorithms and direct comparison of them. Furthermore, the authors evaluate the approaches of utilizing instance segmentation-based and object detection-based neural network architectures for the road marking detection task, which will facilitate future research on road marking detection in challenging environments.
WACV is a top international conference in the field of computer vision and pattern recognition organized annually by the IEEE Computer Society and the Computer Vision Foundation. WACV 2022 will be held from 4th to 8th of January 2022 in Waikoloa, Hawaii, USA. This research was carried out as a final year project at the Department of Electronic and Telecommunication Engineering (ENTC), University of Moratuwa in collaboration with Creative Software Pvt. Ltd.