International Conference on Advancements in Computing [ICAC]

Permanent URI for this communityhttps://rda.sliit.lk/handle/123456789/312

The International Conference on Advancements in Computing (ICAC) is organized by the Faculty of Computing of the Sri Lanka Institute of Information Technology (SLIIT) as an open forum for academics along with industry professionals to present the latest findings and research output and practical deployments in computing.

The primary objective of ICAC is to promote innovative research that addresses real-world challenges and contributes to the social well-being of communities. The conference provides a dynamic platform for researchers from around the world to present groundbreaking findings, exchange ideas, and establish meaningful collaborations.

https://icac.lk

Browse

Filters

20252

Advanced Search

Filter by

Settings

Author: search.filters.author.Dissanayaka, KHas files: Yes

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    ItemEmbargo
    Fidelity-Driven Physically Constrained Adaptive Code Distance for Surface Codes under Biased Circuit-Level Noise
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Hettiarachchi, A; Dissanayaka, K
    Surface codes are leading candidates for fault-tolerant quantum computing, but conventional implementations use fixed code distances that result in conservative resource allocation during varying noise conditions. We propose a physically-constrained, fidelity-driven adaptive surface code framework that dynamically adjusts code distance at scheduled intervals to maintain target logical fidelity while minimizing resource overhead. Our approach introduces a syndrome-based logical error rate estimation algorithm using rolling-window statistics, a scheduled adaptation policy operating within pre-allocated qubit pools, and detailed modeling of adaptation latency and reconfiguration-induced errors for superconducting qubit devices. Through large-scale Monte Carlo simulations under realistic biased circuit-level noise, we demonstrate that hardware-constrained adaptive codes achieve 43-62% success rate improvements over fixed-distance strategies, reaching 72-82% success rates compared to 5̃0% for fixed approaches. Oracle adaptive strategies with perfect error knowledge achieve 91-94% success rates, indicating substantial theoretical potential. Our results show that adaptive surface codes provide significant performance improvements even under realistic hardware constraints, with oracle strategies consuming only 37% of maximum resources while achieving 86% higher success rates for shorter circuits.
  • Thumbnail Image
    ItemEmbargo
    Towards Autonomous Strawberry Pollination via IoT and Robotics
    (Institute of Electrical and Electronics Engineers Inc., 2025-12-09) Karunarathna, R.T; Wickramarathne, C; Mohamed Akmal, M.A; Wickrama Arachchi, C.S; Dissanayaka, K; Silva, N
    Strawberries, a high-value crop with growing demand, face increasing challenges due to labour shortages, declining natural pollinator populations, and inconsistent manual pollination. To address these obstacles, this paper introduces an IoT-enabled robotic system designed to automate strawberry pollination with minimal human intervention. The system consists of a mobile rover with a three-dimensional robotic arm for precise flower detection and positioning, and a high-performance server to handle image processing and task coordination. The rover uses an event-driven software architecture that enables responsive, real-time behaviour and keeps power and memory usage to a minimum, which is crucial to field-deployable robotics. The onboard camera modules capture images of the strawberry bed and send them to an image processing server, which returns flower coordinates. The arm then performs targeted pollination based on the flower positions. Communication between system components is asynchronous and modular to allow scalable integration and future system extensions. Preliminary field tests conducted in open-field raised beds demonstrate the system's functional viability and reliable operational behaviour under real-world conditions. Designed with affordability and practicality in mind, this work contributes a novel and cost-effective approach to precision agriculture, particularly for small and medium farms where traditional pollination methods are either unreliable, labour-intensive, or too costly to sustain.