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1956 articles for “SI engine”
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Measuring Microstructure, Wear Resistance, and Mechanical Reliability Enhancement in Polymer Nanocomposites via Data-Driven Analysis with Deep Learning
Abstract: Polymer nanocomposites have gained great attention owing to their superior mechanical performance, better wear resistance and customizable microstructural properties for aerospace, automotive, medicinal and industrial engineering applications. However, the correct evaluation of the link between the microstructure evolution and the material reliability is a huge issue due to the intricacy of nanoscale interactions and diverse material characteristics. In this study, we propose a data-driven approach that integrates deep learning and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Perspectives on ‘Kamsaharitaki’: an Ayurvedic Formulation for COVID-19 related Multisystem Inflammatory Syndrome (MIS)
Abstract: Background and Aim: Angiotensin-converting enzyme 2 receptor (ACE2), together with Transmembrane protease serine 2 (TMPRSS2), is a protein receptor for SARS-CoV-2 virus in the host subject; expression of ACE2 and TMPRSS2 reveals the multidimensional character of COVID-19 infection. SARS-CoV-2 Prominently induces pulmonary and systemic injury with other synergistic mechanisms. Preexisting chronic inflammatory conditions markedly sustain and aggravate the severity and cytokine storm. Inflammatory responses are closely linked with COVID-19 severity …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 11, Issue 1, 2022 · pp. 28–39 Read article
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Plant Growth Promotion: Role of Nanoparticles and Soil Microorganisms
Abstract: Crops intended to support rapidly expanding populations often face numerous harsh environmental conditions. Despite the natural evolution of plants in response to changing environments and ongoing efforts to engineer resistant varieties using the latest research advancements, food scarcity remains a challenge. Cultivating rhizosphere microorganisms presents an alternative strategy for enhancing plant growth and development. Moreover, engagements between flora and microbes influence both flora’s well-being and soil productivity. Autonomous soil bacteria, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 188–193 Read article
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Biomimetic Approaches to Damage Tolerance: Lessons from Natural Materials
Abstract: Biomimicry has emerged as a powerful and innovative strategy for designing materials with enhanced damage tolerance by drawing inspiration from biological systems found in nature. Various natural materials, such as bone, nacre (mother-of-pearl), and spider silk, display exceptional mechanical properties, including high toughness, superior strength, and inherent self-healing capabilities. These remarkable attributes arise from their complex hierarchical architectures and adaptive mechanisms, which have been refined over millions of years through …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 3, Issue 1, 2025 · pp. 11–16 Read article
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Available Transfer Capability (ATC) under Deregulated Environment
Abstract: The structure of the power industry is moving towards deregulated environment from the regulatory environment (monopoly). With deregulation taking place in the power industry, it introduces a more competitive environment in terms of free choice of suppliers for the trading of electricity. Monopolies of an industry will lead to a poor performance from the sector as there are no competitions for the sole company to strive for improvement. It will …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 85–88 Read article
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Optimization of Mucuna solannie Mud Rheological Parameters
Abstract: The need to optimize rheological parameters by the use of appropriate techniques is the best consideration in drilling mud rheology studies. Various methods are used considering experience on the side of the user, available methods, and flow in pipe or annulus and depending on whether study is done in the field or for research purposes. Mucuna solannie is a legume, and the seed is a viscosifier used in foods in …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 15–26 Read article
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Design and Implementation of PID Controller for Self Balancing Robot
Abstract: AbstractFor control engineers to study, apply and verify different control methods, inverted pendulum is a very good platform. Nearly 90% of the industries use the concept of inverted pendulum like ship balancing against of sea tide and control of rockets, space ships and landing of aero planes. The simple pendulum is stable while hanging downwards, but the inverted pendulum is a genetically unstable system. To make the inverted pendulum a …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 12–19 Read article
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Cloud-Based Smart IoT Integrated Rail Ticketing System
Abstract: Recovery of Missing Ticket is the main idea for planning this development. I've come to this level. Various things include reports on Railway facts Tickets Fare. The project provided installation for the provision of duplicate tickets at the nearest possible time. To receive a double card, the client must go to the Booking Counter to receive the voucher. Evidence of identity and operation must be given to the client. I …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 2, 2020 · pp. 25–30 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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E-Sharing: Web Based Online Donation System
Abstract: Nowadays there are so many people who are surviving on only one meal per day. Especially in developing countries like India, it is one of the major problems. On the other hand, there is so much wastage of food every day. Some poor people need clothes and vessels, and children need some books and study kits. Solution to this is that we only need to donate the leftover food to …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 25–36 Read article
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Study of Energy Conversion System Using a Magnetic Fluid: An Overview
Abstract: Magnetic fluids have promising potential for direct energy conversion system. Magnetic fluids are stable suspension of nano-sized ferromagnetic particles in suitable non-magnetic carriers like kerosene, organic liquids, water etc. The typical curie temperature of magnetic particles is controlled by selecting constituents of the ferromagnetic material. There are large numbers of practical applications of magnetic fluids in various fields ranging from engineering to medicine. A thermomagnetic device gives an idea of …
Published in Recent Trends in Fluid Mechanics · Vol. 3, Issue 1, 2016 · pp. 15–22 Read article
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Parallel Genetic Algorithm for Fuel Bundle Burnup Optimization of Pressurized Heavy Water Reactor
Abstract: In this study, parallel genetic algorithm (GA) was applied to solve an optimization problem of nuclear fuel management pertaining to a 220 MWe pressurized heavy water reactor (PHWR). The study aims at finding appropriate values of reference discharge burnups of two zones of the reactor core which gives maximum fuel economy, while satisfying operational and safety-related constraints. This is a multiobjective optimization problem with four objectives and four constraints. Penalty …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 11–24 Read article
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Studies on Polymer Composites
Abstract: This study is hybridization of polymer nanocomposite aimed from natural processing of materials by plants. Plant processes nano-organic and nano-inorganic materials to subject difference in strength, stiffness, colour, nutrient content, and subjectively hybrid any to study add in addendum. Simulation of plant originated produce in response to any growth regime has considered as base to adopt artificial produce as from hybrid polymer nanocomposites. Change of mater in scribed natural polymer …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 10, Issue 3, 2020 · pp. 14–19 Read article
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Thermal and Morphological Characterization of Rice Starch–Charcoal Composites for Eco-Friendly Engineering Applications
Abstract: This work focuses on the development and evaluation of rice starch–charcoal–based composite materials to overcome the limitations of natural composites with low thermal properties. In order to examine the impact of filler concentration on thermal and structural performance, eight composite specimens were created by altering the ratios of rice starch and charcoal. TGA, DTA, AFM, SEM, and measurements of thermal conductivity and effusivity were used to thoroughly characterize the composites. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1286–1297 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article
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Seismic Hazard Evaluation through Attenuation Law Derivation and Response Spectrum Design: Bangladesh Case Study
Abstract: Bangladesh, positioned at the confluence of the Indian, Eurasian, and Burma tectonic plates, faces significant seismic hazards due to its complex geological setting. This research focuses on formulating empirical attenuation relationships and Creating a design response spectrum for assessing seismic risks in Bangladesh, using data from ten large earthquakes with magnitudes ranging from 6. 7 to 7. 9. The study creates Ground Motion Prediction Equations (GMPEs) for various structural periods …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 3, 2025 · pp. 54–63 Read article
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Tropospheric Variation of Point Refractivity Gradient and Geo-climatic Factor over a Coastal Location in Tropical Nigeria
Abstract: Accurate assessment of refractivity gradient and Geo-climatic factor is crucial for maintaining reliable radio signal propagation in clear-air environments. These parameters are essential for determining the fade margin necessary to ensure a stable and effective wireless radio link, given the unstable nature of the atmosphere through which the signals travel. It is crucial to have accurate knowledge of these characteristics, particularly at microwave antenna heights of around 70 meters, in …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 28–42 Read article
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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Realization and Study of Home Automation System
Abstract: AbstractSmartphone controlled has attracted researchers in last few decades at a great manner. In this paper, fully smartphone controlled home automation has been proposed. The introduced system is attached by the GSM module or Bluetooth devices to send or receive messages to the microcontroller which also enables the alert messages to both the transmission or receiver side. The whole system was implemented on the ATMEGA 16 microcontroller. Whenever each time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 12–16 Read article
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Hysteresis Current Control Based Grid Connected PV System by using Bidirectional DC-DC Converter
Abstract: This paper proposes a control strategy for the operation of solar energy generation integrated with grid. Boost converter is used to extract the maximum power from the available solar power. The buck converter and bi-directional DC/DC converter connected with common DC bus and it’s connected with different loads. MPPT algorithms have been used in PV systems to deliver the maximum available power to the load under changes of the solar …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 1, 2015 · pp. 26–40 Read article