Department of Computer Engineering, University of Peradeniya
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e20-3yp-OceanEyes
Public- This Git repository contains the implementation of a RISC32IM processor pipeline using Verilog. The pipeline includes stages for instruction fetch, decode, execute, memory access, and write-back. The implementation includes a testbench for verification.
- The Smart Environmental Monitoring system will not only simplify and streamline plantation management operations but also enhance efficiency and promote sustainability. By offering real-time data collection and actionable insights, our solution will empower decision-making and optimize resource usage.
people.ce.pdn.ac.lk
Public- This Smart IoT Lighting System is designed for indoor lighting, integrating hardware with cloud connectivity for seamless control. Users can conveniently configure preferences and manage settings via a secure mobile app with voice command support, ensuring personalized and efficient lighting experiences, ease of use, and robust data security.
projects.ce.pdn.ac.lk
Public- RISC-V pipeline processor: A high-performance, open-source CPU design implementing RISC-V architecture with efficient instruction pipeline execution.
- The RV32IM pipeline processor project designs a 32-bit RISC-V processor with 5 stages: IF, ID, EX, MEM, WB. It supports RV32I base and M-extension (MUL/DIV), using forwarding, stalling, and branch prediction to manage hazards. Implemented in Verilog, it is simulated, tested with RISC-V tools, and optimized for performance.
- Mental health disorders, including panic attacks, are rising globally. Traditional diagnosis relies on self-reports, which can be subjective. Using machine learning and neural networks, our project analyzes physiological and lifestyle data to predict panic attacks, enabling proactive management and intervention to improve mental well-being.
- This research designs a scalable, NLP-driven intent-based networking architecture for SDNs. It features a three-layered structure: Translation (NLP-based), Policy Optimization (ML/RL-based), and Intent Enforcement (SDN-integrated). The goal is to enhance network management efficiency and adaptability.
e20-3yp-Smart-Aquarium
Public- The SmartSecure Locker System is an IoT-based solution for secure storage in shared spaces like universities, gyms, and offices. It features real-time locker availability, biometric access, and alternative location suggestions when lockers are full. Users can manage lockers via a mobile app, ensuring convenience and security.
- P-E-BO Desk Companion is an intelligent, interactive robot assistant designed to help with daily tasks and home automation. By integrating IoT, voice recognition, and face recognition, PE-BO adapts to the user's environment, maximizing convenience and interactivity.
e20-3yp-SafePlus
Public- This project develops a RISC-V SoC with an integrated Neuromorphic Accelerator for small-scale Spiking Neural Network (SNN) applications. The SoC is designed for low-power, low-latency edge computing, enabling efficient neuromorphic processing for embedded systems and real-time AI workloads.
- Smart canteen management system is a system designed to increase the efficiency of cafeterias in different working environments and to provide more user friendly functions such as smart pay, an app to keep track of user activities, digital touch screen for the menu item selection,congestion alert system.
e20-3yp-Vascueye
PublicThis project develops a near-infrared (NIR) device for real-time artery detection and blood flow assessment in microvascular surgeries, especially oral and reconstructive. Featuring a cloud server and a UI, it enhances precision, monitors perfusion, and improves outcomes post-surgery.