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1334 articles for “Rats”
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Conversion of Heat Absorbed (Waste Heat) in a Building for Electricity Generation Using a Thermoelectric Generator
Abstract: This study investigates the feasibility of thermoelectric generators (TEGs) for recovering waste heat from building systems and converting it into electrical energy through the Seebeck effect. A journal-scale simulation framework integrating ANSYS thermal modeling with MATLAB/Simulink electrical analysis was developed to evaluate TEG deployment on building envelope surfaces at the Federal Polytechnic Nyak Shendam, Nigeria. Results demonstrate a proportional increase in electrical output with rising temperature gradients, confirming predictable thermoelectric …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 8–16 Read article
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Catalytic Applications of Carbon Nanodots
Abstract: Carbon nanodots (CNDs) owing to their hydrophilicity and multifunctionality and with ultrasmall size exhibit metal-like properties resulting in astounding catalytic performance. These nanostructures, typically less than 10 nm in diameter, possess unique physicochemical and electronic characteristics including tunable photoluminescence, high surface-to-volume ratio, abundant surface functional groups, and excellent electron transfer capabilities. Such properties have driven extensive global research into their application in heterogeneous and homogeneous catalysis. Recent advances in synthesis …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 9–14 Read article
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Synthesis and Characterization of Quinacridone Violet (Pigment Violet 19): Process Optimization and Colorimetric Evaluation
Abstract: Objective: This study focuses on the synthesis and characterization of Quinacridone Violet (Pigment Violet 19), a high-performance organic pigment known for excellent lightfastness and durability. The research aims to optimize the manufacturing process and evaluate the colorimetric properties of the synthesized pigment. Methods: PV 19 was synthesized via a multi-step process involving condensation, oxidation/hydrolysis, and ring closure/cyclization reactions. Two experimental batches (MM#973-A1/B1 and MM#974-A1/B1) were prepared with varying mole ratios …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 41–51 Read article
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An Energy-Efficient CMOS Analog Front-End for Wearable Biomedical Monitoring Applications
Abstract: Because wearable biomedical monitoring technologies allow for continuous, real-time, and remote measurement of physiological parameters, they are quickly becoming a key component of contemporary healthcare. These systems place stringent demands on the analog front-end (AFE), which must accurately acquire and condition extremely low-amplitude biopotential signals such as electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG) while operating under severe power and size constraints. This paper presents the design and simulation of …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 1–10 Read article
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A Overview on Reimagining MOSFET as Precision Thermal Sensor
Abstract: In the landscape of modern microelectronics, the transition from discrete sensing components to fully integrated silicon solutions have become a necessity for the advancement of the Internet of Things (IoT) and high-performance computing. This design explores the utilization of the MOSFET as a primary temperature-sensing transducer, leveraging its inherent thermal sensitivity rather than treating heat as a parasitic interference. By operating the MOSFET in the subthreshold (weak inversion) or saturation …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 8–13 Read article
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Performance Evaluation of EV Charging Station with Bidirectional Power Flow for Grid Support Applications
Abstract: The swift increase in the number of electric vehicles (EVs) brings considerable prospects and difficulties for contemporary power distribution networks. This paper presents the performance evaluation of a 20 kW bidirectional EV charging station designed to facilitate both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) power flow for enhanced smart grid support applications. The proposed topology integrates an AC/DC bidirectional converter interfaced to the 415 V, 50 Hz three-phase utility grid through …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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An Advanced Framework for Energy Harvesting in Device-to-Device Communication within 5G-Enabled IoT Healthcare Networks
Abstract: The healthcare sector is forever advancing, and one of the key technologies that have started playing a part in better patient care and management is Internet of Things (IoT) devices. The Device-to-Device (D2D) communication in 5G-enabled IoT healthcare networks provide better data transmission rate and very low latency. But despite all that, IoT devices still have over-the-top energy consumptions requiting attention. In this work, an innovative energy harvesting framework is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–30 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
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Utility of Corrosion Inhibitors for the Corrosion Protection of Materials in Hostile Environments
Abstract: The term “inhibitor” refers to a material that reduces the rate of corrosion in an environment when added in trace amounts. As a result, the inhibitor functions as a catalyst for those delays. Inhibitors come in a wide variety of forms and formulations. The two most crucial considerations when choosing materials for industrial applications are cost and safety. Physical criteria are typically simple to achieve, but corrosion resistance presents significant …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 27–34 Read article
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Intelligent Trajectories: Harnessing Artificial Intelligence for Next Generation Missile and Propellant Design
Abstract: The rapid evolution of artificial intelligence (AI) has unlocked transformative pathways for high-performance aerospace engineering, yet its integration into missile and propellant design remains nascent. This study investigates a hybrid AI-driven framework that unites physics-based modeling, data-centric learning, and multi-objective optimization to accelerate the conception, validation, and refinement of missile airframes and solid-propellant formulations. First, a physics-informed neural network (PINN) is trained on a curated database of historic missile geometries, …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 20–26 Read article
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An Energetic Materials for Sustainable Solutions
Abstract: Nanomaterials are typically described as engineered substances possessing at least one dimension between 1 and 100 nm. Materials at the nanoscale display distinctive or enhanced characteristics, such as increased chemical reactivity, superior sensing performance, and improved mechanical properties. Nanotechnology provides a straightforward, rapid, clean, and cost-effective approach for synthesizing a wide range of organic compounds, encouraging many researchers to transition from conventional synthetic techniques. This article aims to highlight the …
Published in International Journal of Energetic Materials · Vol. 12, Issue 1, 2026 · pp. 7–12 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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Spermmediated gene transfer revisited: optimizing delivery, integration, and germline transmissionin large animal models
Abstract: Spermmediated gene transfer (SMGT) exploits the natural role of spermatozoa as DNA vectors to deliver exogenous genetic material to oocytes, potentially enabling economical production of transgenic large animals without complex embryo micromanipulation (1). Early proofofconcept studies established that mammalian sperm can bind, internalize, and protect exogenous DNA, leading to integration, expression, and germline transmission in various species, including pigs (24). Subsequent mechanistic work has challenged the traditional view of sperm …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article
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Synthetic Biology in Industrial Biotechnology for Livestock: Designing and OptimizingNext-Generation Bioprocesses for Sustainable Animal Production and Health
Abstract: Synthetic biology has emerged as a transformative discipline in industrial biotechnology, enabling the rational design and engineering of biological systems for efficient and sustainable production of fuels, chemicals, enzymes, pharmaceuticals, and biomaterials. Unlike traditional genetic engineering, synthetic biology focuses on constructing gene circuits, modular metabolic pathways, and standardized biological parts to precisely control cellular metabolism. Advanced genome editing tools such as CRISPR, combined with computational biology and bioinformatics, allow rapid …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 1, 2026 Read article