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2000 articles for “SP” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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Design, Development, and Testing of 2-Phase Separator
Abstract: As the pressure vessel operates under high internal pressure, the choice of material and accuracy indesign play a vital role in ensuring its safety and reliability. Proper design is essential because anyfailure in a pressure vessel can lead to serious hazards, financial losses, and operational shutdowns.In compliance with the ASME Code (Section VIII, Division 1) and the process data sheet, this articledescribes how to design a pressure vessel. To guarantee …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 29–37 Read article
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Design and Finite Element Analysis of Go-Kart Tubular Chassis Using Ansys
Abstract: The design of a go-kart chassis involves the vehicle’s performance, safety, and handling characteristics. The present work focuses on the conceptual design, modeling, and structural analysis of a go-kart chassis aimed at achieving an optimal balance between strength, weight, and driver comfort using FEA software ANSYS. A detailed chassis model was developed based on ergonomic considerations and racing standards. The design was evaluated through an FEM approach to assess stress …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 56–64 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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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Phase-Change Material Integrated Semiconductor Circuits for In-Memory Analog Computing Applications
Abstract: The continuous demand for high-speed, energy-efficient computing has intensified the exploration of in- memory analog computing (IMAC) architectures, which aim to minimize the latency and power overhead associated with conventional von Neumann architectures. This research investigates the integration of phase- change materials (PCMs) with semiconductor circuits to realize programmable, non-volatile in-memory analog computing platforms. PCMs exhibit reversible resistance switching between amorphous and crystalline states, enabling precise analog weight storage directly …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 32–42 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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DESIGNING OF AN EMBEDDED SYSTEM FOR SIGN LANGUAGE TRANSLATION
Abstract: Communication is a fundamental human right, yet over 70 million individuals worldwide who are deaf or speech-impaired face daily barriers in expressing their needs in healthcare, education, workplaces, and emergencies. Sign language serves as the primary mode of communication for this population; however, it is not universally understood by the hearing community, creating a persistent and critical gap in accessibility. Existing assistive solutions such as camera-based AI translators require high …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 31–44 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 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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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Design and Commercial Validation of a Hierarchical Three-Tier Quality GradingSystem for Post-Industrial and Post-Consumer Recycled Thermoplastic Resins in US Industrial SupplyChains
Abstract: Quality grading systems for recycled thermoplastic resins providing industrial buyers with a standardized, documented quality classification framework for secondary raw material procurement are a foundational requirement for the reliable integration of recycled materials into industrial supply chains. Despite this requirement, no standardized grading scale has been established for post- industrial and post-consumer PP, HDPE, and LDPE resins in industrial supply chain contexts. This paper presents the design, operational implementation, and …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 2, 2026 · pp. 1–22 Read article
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Investigating Analogue Gravity Phenomena through Electronic Black Holes: A Study
Abstract: The universe, in its grand cosmic ballet, is replete with mysteries, and among the most profound are the enigmatic black holes. These celestial behemoths, born from the collapse of massive stars, warp spacetime to such an extent that nothing, not even light, can escape their gravitational embrace. Their behavior, governed by Einstein's theory of General Relativity, pushes the boundaries of our understanding, presenting phenomena like Hawking radiation – a quantum …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 9–24 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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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 Read article
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Stem Cell and Cloning Technologies in Livestock Improvement: Advances, Applications, and Future Prospects for Sustainable Animal Production and Genetic Improvement
Abstract: Stem cell and cloning technologies have emerged as transformative tools for livestock improvement, enabling rapid genetic advancement, conservation of elite or endangered breeds, and development of animals with desirable production and health traits. Stem cells, including embryonic, adult, and induced pluripotent types, offer unparalleled potential due to their self-renewal, differentiation capacity, and versatility for genetic modification. Cloning technologies, particularly somatic cell nuclear transfer and embryo splitting, allow replication of superior …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 · pp. 44–53 Read article
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Nanotechnology-Enabled Non-Invasive Teeth Whitening: Safety, Efficacy, and Regulatory Perspectives with a Focus on India, Asia, and Developed Countries
Abstract: Demand for tooth whitening is growing worldwide, but conventional peroxide-based bleaching is associated with dentin hypersensitivity, enamel softening, and soft tissue irritation, especially under repeated or high-concentration use. Nanotechnology offers a new class of non-invasive whitening strategies that aim to combine esthetic improvement with enamel protection and remineralization. Among these, nanohydroxyapatite (nanoHAP) toothpastes and gels have the most advanced evidence base; in vitro and in situ studies indicate that nanoHAP …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 Read article
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Quantum Dots in Oral Diagnostics and Theranostics: Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or smallmolecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 18–25 Read article