Development and Optimization of Advanced Glazing Technologies for Solar Ponds to Enhance Power Generation

Modern buildings experience substantial energy losses through window glazing, compromising overall energy efficiency. This study presents the design and evaluation of an advanced hybrid window system that simultaneously reduces thermal transmission and generates electricity. The proposed system integrates low-emissivity (low-E) coated double glazing with embedded thermoelectric generator (TEG) modules to harvest energy from temperature gradients …

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Development Of a Predictive Model for Evaporation Unit Based on Critical Factors

This paper presents the development and validation of a real time predictive control system for a multiple effect industrial juice evaporator using an Adaptive Neuro Fuzzy Inference System (ANFIS). Traditional control schemes like PID controllers and AI models often struggle to handle the nonlinearities, long delays, and coupling effects in evaporation processes, leading to suboptimal …

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Algorithm for Automated Severity Assessment of Cracks in Simply Supported Bridge Beams Using UAV-Based Video Analysis

Automated inspection of concrete bridge components is crucial for timely maintenance and safety. This paper presents an algorithm for automated crack severity assessment in simply supported bridge beams using UAV-based video analysis. The proposed method integrates deep learning for crack detection with image processing techniques to measure crack dimensions and introduces a novel severity metric …

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Sentiment Analyzer Model for Sinhala to English Translation

Most of the Natural Language Processing (NLP) techniques have been evolved to work with the English language only and most other languages including Sinhala are poorly addressed. The given paper constitutes a model of sentiment analysis of the Sinhala language. The model is built on a Convolutional Neural Network (CNN), trained on a special dataset …

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