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Vision-Based and Machine Learning Approaches for Real-Time Dye Concentration Monitoring in Textile Processes A Review
The textile industry is one of the most significant industries in Sri Lanka, which gives a massive economic income to the country. Dyeing is an important process in the apparel industry since it directly impacts the exports if it does not have the accurate color consistency that’s needed. Such inaccuracies in color consistency lead to …
Implementation of Adaptive Control Framework for Biomass Boilers to Increase Thermal Efficiency
Biomass boiler systems are key renewable energy technologies used in industrial and institutional applications, but they can suffer from poor system performance because of product moisture, excess-air issues, deficiencies in excess-air control and unchecked blowdowns during performance. The design and implementation needs of an adaptive control framework for energy savings by optimizing thermal efficiency and …
Real-Time Distributed Illuminance Measurement Systems for Large-Scale Lighting Evaluation – A Comprehensive Review
The current situation in large-scale lighting evaluation is shifting from intermittent lighting surveys measured by a lux-meter to a continually mapped and visualized lighting system which can sense, estimate, map and visualize the lighting in real-time. A survey of the relevant literature in the journals highlights research on sensing technologies, various distributed system architectures, spatial …
Comprehensive Review of AI-Based Energy Management Systems for Renewable Microgrids
Microgrids are viewed as a distributed power generation system, made up of renewable power resources such as PV, wind, battery storage, shiftable loads, etc., to make a system more sustainable and resilient. But owing to the bi-directional intrinsic properties of renewable energy sources and their intermittent flow, and the randomness of renewable energy demand, energy …
Comprehensive Review of AI-Based Energy Management Systems for Renewable MicrogridsRead More
A Quantitative Study on the Impact of the Use of ChatGPT and Google Gemini on the Academic Performance of IT Undergraduates at NIIBS Campus
The introduction of generative Artificial Intelligence (AI) in education systems has changed the dynamics of the academic processes, particularly for technology-based courses. In this case, an exploratory study of the effects of the use of LLM tools (i.e., OpenAI’s ChatGPT and Google Gemini) on the academic performance of Information Technology (IT) undergraduates at the Faculty …
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