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840 articles for “comparative analysis”
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Utilization of Treated Textile Dyeing Wastewater and GGBFS–Perlite Blends for Sustainable Cementitious Composite Development
Abstract: The increasing global demand for concrete critically intensifies the consumption of potable water, raising significant environmental concerns and depleting vital resources. Concurrently, the textile dyeing industry generates substantial volumes of wastewater, posing considerable disposal and pollution challenges. Our investigation explores a dual solution by utilizing treated textile dyeing wastewater as an alternative mixing water source, combined with ground granulated blast furnace slag (GGBFS) and perlite as supplementary cementitious materials (SCMs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 291–300 Read article
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Spintronic Logic Circuits for Ultrafast Processing
Abstract: Spintronic logic has emerged as one of the most promising post-CMOS paradigms capable of addressing the speed, density, and energy challenges of deeply scaled silicon technologies. By relying on the intrinsic properties of electron spin and magnetization dynamics, spintronic devices—particularly Magnetic Tunnel Junctions (MTJs), Spin-Transfer Torque (STT), and Spin–Orbit Torque (SOT) structures—enable ultrafast, non-volatile data processing with significantly reduced energy consumption. Despite remarkable device-level advancements, circuit- level realization of high-speed, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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A Comprehensive Review of CMOS Analog Circuit Design Techniques for Low-Power VLSI Systems
Abstract: CMOS analog circuit design plays a significant role in the development of modern low-power Very Large-Scale Integration (VLSI) systems used in wireless communication, biomedical devices, portable electronics, embedded systems, and Internet of Things (IoT) applications. Research on low-power CMOS analogue design methodologies has intensified because to the growing need for high-performance, small, and energy-efficient electronic products. However, reducing power consumption while maintaining signal accuracy, noise performance, stability, bandwidth, and overall …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Comparative Energy and Exergy Performance of Box-Type Solar Cookers Using Various Pot Materials
Abstract: This research presents a laboratory study of a box-type solar cooker for two types of pot materials. Under the climate conditions of Jaipur, experiments were carried out on a standard box-type solar cooker using steel and aluminum vessels, either with or without a load. It is estimated what the merit figure (F1 and F2) is. The obtained F1 values show that the cooker, when used with steel and aluminum containers, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
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A comprehensive study on elemental analysis and sustainable integration of CETP (common effluent treatment plant) sludge as a substitute to sand in concrete
Abstract: This study examines the utilization of sludge from common effluent treatment plants (CETP) as a fractional substitute for sand in M20 concrete mixtures. Its aim is to address disposal challenges associated with CETP sludge while promoting sustainable use of natural resources. The research assesses the structural and microstructural attributes of concrete mixes containing varying percentages of CETP sludge (0%, 10%, 20%, 30%, 40%, and 50%). Tests conducted include compressive, flexural, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 49–59 Read article
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Negative Perceptions of Broiler Consumers: Exploring Societal Attitudes, Cultural Ethics, and Health Concerns for Sustainable Production
Abstract: Negative perceptions of broiler chicken remain a significant barrier to its acceptance and market sustainability. This study investigates the societal attitudes, cultural ethics, and health concerns that influence consumer perceptions and challenges the broiler industry. Ethical issues, including animal welfare and perceived unnatural rearing practices, often fuel consumer distrust. Health concerns such as antibiotic residues, growth hormone usage (often misunderstood), and lower nutritional value compared to native breeds further exacerbate …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 2, 2025 · pp. 9–22 Read article
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Water Chestnut Stem-Derived Biochar Supported AgNPs/AC-CTS-PVA Composite Gel for Wastewater Treatment and Potent Antibacterial Performance
Abstract: In the present study, green and efficient Ag-NPs functionalized activated carbon/chitosan-polyvinyl alcohol (AgNPs/AC-CTS-PVA) composite gel was successfully synthesized using water chestnut stem-derived biochar for wastewater treatment and antibacterial applications. The composite was characterized by FTIR, XRD, SEM-EDX, and TGA analyses, confirming the successful incorporation of crystalline Ag nanoparticles within the polymeric matrix and improved thermal stability. The material was tested regarding the removal of the dye of methylene blue (MB) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1129–1144 Read article
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Analysis of benzoic acid in fruit juice and some soft drinks in Benghazi market by UV- spectrophotometric method
Abstract: The utilization of preservative substances is extensive in various industries, with particular prominence in the food industry. In this study, we investigated the estimate of benzoic acid as a preservative substance, which is widely used to preserve juices and carbonated beverages. Fifteen samples were collected from some markets in Benghazi . The spectrophotometer was utilized to take measurements at a wavelength of 228nm The pH value was measured using a …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 75–80 Read article
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Fractional Calculus-Based Analysis of Magneto-Thermal Nanofluid Flow Over Stretching and Shrinking Surfaces
Abstract: This study presents a comprehensive investigation of magneto-thermal hybrid nanofluid flow over stretching and shrinking surfaces using a fractional calculus framework to capture the memory and hereditary characteristics of complex fluid transport phenomena. The proposed model incorporates the effects of magnetic field intensity, thermal radiation, viscous dissipation, Brownian motion, and thermophoretic diffusion on the velocity and temperature distributions within the boundary layer region. A fractional-order derivative formulation is employed to …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 Read article
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Ecology of Leaf Adaptations in Azardirachta indica A. Juss at Desert Environment
Abstract: Azardirachta indica A. Juss is a medicinally important plant belonging to the family Meliaceae. It is widely used during COVID 19 for its anti-inflammatory and antiviral effects for COVID 19 prophylaxis. Although the plant is native to India, but is very much naturalized in tropical and subtropical countries. It is one of the commonly used plant for shelterbelt and wind break system along roadsides also. The present investigation was done …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 7–11 Read article
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Enhancing MRO Documentation Through Automated Translation of Non-Standard English to Simplified Technical English Using Offline LLMS
Abstract: Maintenance, Repair, and Overhaul (MRO) operations rely heavily on accurate and consistent documentation to ensure operational safety and compliance. However, the presence of non-standard English in technical documents often leads to ambiguity, misinterpretation, and inefficiencies in maintenance processes. This study presents an innovative solution that leverages an offline Large Language Model (LLM) to automatically translate non-standard English in MRO documents into standardized and technically precise language. By integrating predefined linguistic …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 9–15 Read article
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PI and Fuzzy Logic Controller Based Analysis of Load Frequency Control for Thermal-nuclear Hybrid Energy Systems
Abstract: In this paper a two-area system: area-1, which has a thermal power plant, and area-2, which contains a nuclear power plant. By combining these domains, two area thermal-nuclear systems are developed in the MATLAB Simulink framework. To ensure the quality of power generated and to feed the load, generation should be raised in tandem with the growth in load demand, or the network should be connected. Using various controllers, LFC …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 1–9 Read article
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Solar Panel Defect Detection Using Geospatially-Aware Deep Learning framework
Abstract: Large-scale photovoltaic (PV) systems demand reliable inspection techniques to maintain efficiency, as manual methods remain labor-intensive and inconsistent. This study introduces a geospatially informed deep learning framework for defect detection and localization in PV panels from drone and satellite imagery. The framework incorporates an adaptive tiling mechanism that adjusts tile boundaries according to object size, reducing information loss and enhancing detection performance. In addition, coordinate transformation between image pixels and …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Size-biased Sujatha Distribution with Properties and Application to Model Flood Data
Abstract: In this study, a size-biased version of the Sujatha distribution was proposed to model flood data. The descriptive statistical properties based on moments and the reliability properties of the distribution are discussed in detail along with their derivation and graphical presentation. An interesting feature of the proposed distribution is that it is a member of the exponential family of distributions. A sequential probability ratio test was performed using the proposed …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 1, 2024 · pp. 31–46 Read article
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High-Performance Carbon Nanotube-Reinforced Biodegradable Polymer Composites for Packaging
Abstract: The growing issues concerning the properties of petroleum-based plastics on the environment increased the demand for biodegradable alternatives and polylactic acid (PLA) is one of the most promising options available. However, its poor toughness, thermal resistance, and barrier properties limit broader applications in sustainable packaging. This study reports the fabrication and characterization of PLA-based nanocomposites reinforced with carbon nanotubes (CNTs) at varying loadings (0.1-2 wt.%). Structural analysis (FTIR, XRD) confirmed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 183–194 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Durability Assessment of Geopolymer and OPC Concretes under Chloride and Sulphate Chemical Attack
Abstract: The main problems with durable concrete constructions are attacks by sulphates and chlorides on concrete. The primary objective of this study is to evaluate how the strength properties of concrete are affected by the incorporation of fly ash when exposed to environmental conditions involving sulphate and chloride solutions. In this research, geopolymer concrete (GPC) is utilized as a replacement for conventional ordinary Portland cement (OPC). The concrete composition is prepared …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–218 Read article
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Thermal Behavior and Insulation Strategies for Li-FeS₂ Thermal Batteries: An ANSYS Simulation Study
Abstract: Thermal batteries are special electrochemical systems in which a great amount of energy is delivered during a relatively short period of time. The holding time of the thermal battery's working temperature and cell temperature define its discharge life. Thermal batteries have their advantages comparing other type of batteries, so they are used for several purposes including military field. Thermal batteries usually operate in the internal temperature range of 400 to …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 45–52 Read article
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An Intelligent Neural Networks Approach for Monitoring of Soilless Urban Farms
Abstract: Urban agriculture is increasingly recognized as a sustainable approach to addressing food security challenges in rapidly growing and densely populated cities. Conventional soil-based farming often faces limitations such as space scarcity, excessive water consumption, and environmental degradation. To overcome these challenges, soilless farming techniques such as hydroponics and aeroponics have gained significant attention due to their efficient utilization of space, reduced water requirements, and potential for year-round crop production. However, …
Published in Journal of Water Resource Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 31–37 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article