Search
1143 articles for “research performance”
-
Lighting Design in Office Spaces: Illuminating the Path to Productivity and Well-being
Abstract: Lighting design in office spaces refers to the intentional planning and implementation of lighting solutions within a workplace environment to meet the functional, aesthetic, and psychological needs of occupants. This research paper delves into the intricate connection between lighting design, mood regulation, and productivity levels within office spaces. Through a comprehensive analysis of existing literature, it investigates how various aspects of lighting, including colour temperature, intensity, distribution, and dynamics, influence …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 38–53 Read article
-
Review of Research on Pozzolanic Materials for Cement Blending and Concrete Applications
Abstract: The growing environmental concerns associated with cement production, particularly its high carbon footprint, have driven research into sustainable alternatives such as supplementary cementitious materials (SCMs) derived from agricultural and industrial waste. This study synthesizes findings from recent investigations into the pozzolanic potential of basil plant ash (BPA), rice husk ash (RHA), and stockpiled fly ash (FA), evaluating their processing methods, microstructural characteristics, and performance in concrete applications. BPA, being derived …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–6 Read article
-
Performance Evaluation of Green Walnut Husk Waste Extract for Inhibiting Aluminium 8088 Corrosion in Acidic Solution
Abstract: The cumulative call for environmental and supportable corrosion inhibitors has obsessed curiosity in exploiting plant-based agronomic surplus resources. Presented research work discovers the corrosion inhibition probable of green walnut husk extract(GWH)—a normal and plentiful agro-waste—on Aluminium 8088 alloy in an acidic medium. Aluminium 8088, however identified for its corrosion resistance, is vulnerable to squalor in highly acidic settings, affectation trials in several industrial claims. GWH extract act as an ecologically …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 44–60 Read article
-
Enhancing Worker Comfort in High-Heat Environments: A Triangular Bladeless Cooling Fan Approach
Abstract: Workers in high-heat industrial environments frequently encounter thermal stress, fatigue, and dehydration, which significantly impact both productivity and safety. Existing cooling solutions such as pedestal fans, ceiling fans, and central air-cooling systems often fall short due to limited airflow reach, safety concerns from exposed blades, high energy consumption, and poor suitability for dynamic workshop layouts. To address these challenges, this study presents a novel triangular bladeless fan designed specifically for …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 25–31 Read article
-
LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
-
Enhancement of Mechanical and Tribological Properties of Aluminum-Titanium Carbide (Al-TiC) Metal Matrix Composites via Powder Metallurgy
Abstract: Metal matrix composites (MMCs) have emerged as a result of the increasing need for sophisticated lightweight materials with exceptional mechanical and tribological qualities. For structural and wear-critical applications, aluminum-based composites supplemented with ceramic particles such as titanium carbide (TiC) have shown great promise. In this work, aluminum-TiC composites made by powder metallurgy a process that guarantees even particle dispersion, regulated porosity, and the creation of near-net shapes are fabricated, mechanically …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 366–374 Read article
-
A Review on AI and Machine Learning for Predictive Maintenance and FDD in RAC Systems
Abstract: The paper reviews the existing AI/ML methods first in the general context of predictive maintenance and FDD of RAC systems, then specifically focusing on granular cooling appliances. Perspectives and insights are provided on the reasons why potentially valuable models do not make it into practice more often, and where future research and development should be headed. New emerging topics for decision support systems to include domain knowledge and physics-based modeling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 13, Issue 1, 2026 · pp. 15–25 Read article
-
Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
-
Machine Learning Approaches for Phishing Detection: A Comparative Study
Abstract: These days, everyone has an internet addiction. All of us have used the internet for banking, booking, recharging, and buying. Phishing is a type of website threat that exists online. On the original website, phishing is an attempt to illegally obtain information such as login ID, password and credit card information. In this research, we proposed an efficient phishing detection system based on machine learning. Overall, the experimental findings demonstrated …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 35–45 Read article
-
Commercialization of Smart Polymers in Advanced Composite Structures for Industrial Applications
Abstract: The commercialization of smart polymers in advanced composite structures represents a significant rise in material science, particularly for industrial applications. These smart polymers show unique properties such as self-healing, shape memory, & responsiveness to environmental disturbances, making them ideal for a wide range of applications. In this paper, the researcher explores the advancements in developing and applying smart polymers within composite structures, focusing on their potential. Revolutionize industries like atmosphere, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 70–81 Read article
-
Evaluating Diagrid Systems: A Modern Approach to Lateral Load Resistance Across Varied Building Heights
Abstract: Modern architectural design and engineering often incorporate advanced structural systems, with diagrid structures becoming popular for high-rise buildings due to their unique geometric patterns and aesthetic appeal. Despite considerable global research on diagrids, a detailed comparative analysis of their structural efficiency remains limited. This thesis assesses the structural efficiency and seismic performance of diagrid lateral load-resisting systems. The effectiveness of diagrids was compared to conventional building designs in multi-storey buildings …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
-
Unlocking Synergies: Exploring The Nexus Between Sustainable Building Practices, Green Polymers, and Occupant Health Through SPSS Statistical Analysis
Abstract: This study examines the significance of utilising environmentally friendly polymers in the construction industry, specifically looking at the perspectives of individuals occupying buildings that have used green building design techniques. The focus is on the occupants' perceptions of the efficiency, comfort, and health of the materials used. Green polymers, which are essential for sustainable building, have the potential to completely transform infrastructure development. The materials mentioned include of natural fibre …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 241–252 Read article
-
An Empirical Study of Hyperparameter Impact on Deep Learning Models for Cardamom Leaf Disease Classification
Abstract: Recent advancements in deep learning models like convolutional neural networks and self- attention mechanisms have achieved great success in the field of plant disease classification. This study investigates the efficacy of two pre-trained models, ConvNeXT-Tiny and Swin Transformer-Tiny, for leaf disease classification in cardamom using a publicly available dataset constituting three categories of leaves, namely Healthy, Colletotrichum Blight and Phyllosticta Leaf Spot. The effectiveness of the models highly depends on …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 48–60 Read article
-
Strength Enhancement of Concrete with Nano-Based Admixtures
Abstract: The integration of advanced nanomaterials such as nano-silica and nano-clay has emerged as a highly promising and innovative technique to significantly enhance the mechanical characteristics and long-term durability of conventional concrete. In this comprehensive study, the effects of nano-modification on various concrete properties, including workability, compressive strength, split tensile strength, and flexural behavior, were thoroughly evaluated through a systematic experimental program. A series of concrete mix designs incorporating varying proportions …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 Read article
-
Comparative Analysis of Supervised Learning Algorithms
Abstract: Supervised learning is a fundamental and widely used branch of machine learning in which models are trained on labeled datasets, meaning that each input is associated with a known output. Supervised learning algorithms develop predictive capability by understanding the mapping between input variables and corresponding output labels, enabling them to accurately forecast outcomes for previously unseen data. Due to this capability, supervised learning has found extensive applications across diverse domains …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 25–30 Read article
-
Multiphysics Simulation and Thermal Characterization of VVER-1200 Steam Generator for Optimized Heat Transfer and Structural Integrity
Abstract: VVER-1200 is a Russian design reactor which consist of Two circuits comprising reactor core, piping, vertical steam generator, pressurizer, active and passive safety systems, turbine and generator. This reactor involves single phase flow from reactor core to steam generator (SG) where high pressurized water exchanges heat with normal water resulting in steam production. The flow is turbulent, which enables maximum efficiency to heat transfer. Using ANSYS Workbench's multi-physics simulation capabilities, …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 7–15 Read article
-
Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-Critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This study examines the thermodynamic performance of binary vapor cycles, specifically analysing two working fluid combinations: ammonia-water mixtures and trans-critical carbon dioxide (CO2). The study aims to evaluate their efficiency, applicability, and potential for improving energy conversion systems in various thermal applications. The analysis investigates how incorporating reheating processes and adjusting operating pressures impact system performance. These two parameters play a critical role in enhancing cycle efficiency and maximizing energy …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 42–49 Read article
-
Design and Implementation of High-Speed Low Power Low Area Hybrid One Bit Full Adder Using CMOS Technology
Abstract: In this article, we'll take a look at a new kind of Full Adder (FA) design that mixes traditional Complementary Metal Oxide Semiconductors (CCMOS) with Pass Transistors (PTs) and Transmission Gates (TGs). To analyze the circuit's performance, we used the Mentor Graphics software package. Since all twenty (20) varieties of Full Adder circuits were able to be measured and compared, this research was conducted. When the clock rate of the …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 29–39 Read article
-
Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
-
A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems
Abstract: Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction. By identifying intricate patterns in clinical data, machine learning-based models have shown great promise in early disease detection, risk assessment, and personalised healthcare. However, issues with transparency, interpretability, and reliability have been brought up by the growing …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article