Department of Computer Engineering, University of Peradeniya
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- RISC-V pipeline processor: A high-performance, open-source CPU design implementing RISC-V architecture with efficient instruction pipeline execution.
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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.
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Publiccepdnaclk.github.io
PublicGithub pages website for Department of Computer Engineering, University of Peradeniya. https://cepdnaclk.github.ioe19-4yp-Quality-Assessment-of-Final-Root-Canal-Treatment-Using-Intra-Oral-Periapical-Radiographs
PublicThis study addresses dental practice's challenge of evaluating root canal treatment quality. Current evaluation depends on subjective dentist judgment, lacking standardized criteria. here we developing an AI-based method using deep learning to automate and standardize the evaluation process.- 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.
- The aim is to design an Integrated Development Environment to build software for multi-agent systems. The IDE shall provide facilities to compose algorithms at a high-level (ideally in a visual manner), and compile them over multiple stages into binaries and program the hardware over-the-air (OTA).
- Design and implementation of a 32-bit RISC-V processor supporting the RV32IM instruction set, developed as part of the Advanced Computer Architecture course (CO502). Webpage: https://cepdnaclk.github.io/e20-co502-RV32IM_Pipelined_Processor
- 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.
e20-3yp-OceanEyes
Public- This repository can be used to generate shorten URLs, with the prefix https://url.ce.pdn.ac.lk
- 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.