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52 articles for “ORB”
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AN INTELLIGENT OPTIMUM RELATION BASED MPPT CONTROLLER FOR A WIND GENERATOR SYSTEM
Abstract: Abstract:Permanent magnet synchronous generators in wind generation systems are equipped with two sets of converters connected back to back. For maximum power transfer under variable wind speed conditions, the generator side as well as grid side converter reference settings have to be optimized. In this article, the generator side converter speed settings are determined through an adaptive neuro-fuzzy algorithm for extracting maximum power from wind. The algorithm contains two series …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 34–50 Read article
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Increasing Total Solar Irradiance on Far Future Climate: General Atmospheric Circulation
Abstract: The total solar irradiation at the top of the atmosphere is the primary forcing mechanism for the Earth's Climate System. In this work, we used the addition of 10% in the radiation value (from 1360 Wm−2 to 1496 Wm−2) to simulate the Earth's climate system in the habitable zone inner orbit. Two tenyear- long fully coupled simulations using the Community Earth System Model were performed; the CONTROL experiment was configured …
Published in Research & Reviews : Journal of Space Science & Technology Read article
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Black Hole and Accretion Disks:Observational Discoveries and Theoretical Frameworks
Abstract: This review covers the essential elements of black hole accretion disk theory, beginning with the primary objective of understanding the complex nature of black holes. We delve into how key features of strong gravity, such as the event horizon, innermost stable circular orbit, and ergosphere, manifest in accretion disks. This review revisits the physical mechanisms driving accretion disks and presents four main models: thin disks, Shakura-Sunyaev disks, advection-dominated accretion flows …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Investigation of Electronic Transport Characteristics of Co-Doped B40 Molecular Junction for Detection of Isoprene: A DFT Study
Abstract: The early identification of lung cancer is crucial and it can be diagnosed non-invasively by assessing the exhalation. Analysing a patient's breath profile can reveal malignant growths in their lungs. In this work, B40 co-doped with indium and iron is used as a molecular junction to sense isoprene, a well-known lung cancer biomarker present in the exhalation. The electronic transport characteristics of the molecular junction designed for isoprene detection are …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 907–916 Read article
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Innovations in Oral Drug Delivery: Challenges and Opportunities
Abstract: The advancement of novel drug manufacturing technologies offers immense opportunities for innovation but brings regulatory complexities that must be addressed to ensure successful implementation. Early and frequent collaboration with the FDA is fundamental for overcoming these challenges. The establishment of the FDA’s Emerging Technology Team has been pivotal in fostering open dialogue, brainstorming, and feedback between regulators and innovators, reducing the likelihood of unexpected setbacks that could jeopardize projects. Mechanisms …
Published in Trends in Drug Delivery · Vol. 12, Issue 1, 2025 · pp. 31–43 Read article
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Synthesis, spectroscopic, crystal structure, Hirshfeld surface, computational, and biological investigations on Isophorone derivatives: 3-(3,4-dimethoxystyryl)-5,5-dimethylcyclohex-2-en-1-one
Abstract: FT-IR, 1H NMR, and 13C NMR spectroscopy were among the spectroscopic methods used to synthesize and analyze 3-(3,4-dimethoxystyryl)-5,5-dimethylcyclohex-2-en-1-one, a new isophorone derivative. Single-crystal X-ray diffraction (SCXRD) was used to determine the crystal structure, which showed that the molecule crystallizes in a monoclinic system (space group P121/c1) with packing configurations and intermolecular interactions. To learn more about the non-covalent interactions influencing the crystal packing, Hirshfeld surface analysis was used. In order …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 51–69 Read article
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AI-Empowered Space Traffic Management: Challenges and Strategies
Abstract: Space traffic management (STM) has emerged as a critical field of study due to the rapid expansion of space activities, including satellites, debris, and future crewed missions. This research paper delves into the multifaceted issues and challenges associated with STM and explores innovative strategies, specifically focusing on integrating artificial intelligence (AI). It examines the pressing problems of space debris proliferation, collision avoidance, spectrum congestion, and the need for international cooperation. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 20–28 Read article
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Expanding Hicks Contraction Theory, Multi-Valued Mappings in Generalized b-Menger Spaces
Abstract: This paper extends the Hicks contraction theory to multi-valued mappings within generalized b-Manger spaces, a class of metric-like structures that accommodate more flexible distance functions. By introducing new definitions, such as generalized admissibility conditions and weak compatibility in the multivalued sense, we provide a comprehensive analysis of how these contractions behave in broader topological and metric contexts. Our approach systematically generalizes classical contraction principles by relaxing conventional constraints, thereby broadening …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 1–05 Read article
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Modeling of ZnO Based Nano Sensor Device for Evaluating Electronic Interaction with NO2 Pollutant: Combining Multiphysics Simulation and DFT Study
Abstract: This study focuses on the designing and modeling of a sensor device employing zinc oxide (ZnO) nanowires (NWs), and the evaluation of the chemical response of the same in the presence of nitrogen dioxide (NO2), which is an acute harmful pollutant for human health and environment. Experimentally synthesized ZnO nanostructures were used as the basis for modeling of the ZnO NWs based sensor device along with a single ZnO NW, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 211–219 Read article
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Exploring Antimalarial Activity of Chalcone Derivatives through QSAR
Abstract: Background: The core structure of chalcones contains a reactive α,β-unsaturated system within the aromatic rings, which plays a key role in mediating various biological effects. These effects include enzyme inhibition, anticancer activity, anti-inflammatory properties, as well as antibacterial, antifungal, antimalarial, antiprotozoal, and anti-filarial actions.Modifying the structure by introducing substituent groups to the aromatic ring can enhance potency, reduce toxicity, and expand their range of pharmacological actions.Methods: A total of twenty-seven …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Towards a Sustainable Future: A Comprehensive Study on Solar Power Satellites
Abstract: This study explores solar power satellites (SPS) as a promising solution for sustainable energy. Space-based solar power (SPS) offers a revolutionary approach to clean energy by collecting solar energy in space and transmitting it wirelessly to Earth. Unlike terrestrial solar power, SPS can operate continuously, unaffected by weather or nightfall, providing a stable and sustainable energy source. This study explores the core technologies that enable SPS, including advanced photovoltaic systems …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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An Integrated Satellite and Underwater IoT Framework for Real-Time Oceanic Disaster Monitoring and Resilient Communication
Abstract: Ocean-based environmental disasters such as tsunamis and underwater earthquakes pose significant risks to human life, coastal infrastructure, and regional stability. However, traditional communication networks often collapse during such events, leading to delayed alerts and uncoordinated response efforts. This study presents an integrated framework that combines underwater Internet of Things (IoT) systems with satellite communication technologies to enable real-time oceanic disaster monitoring and reliable emergency communication. The system connects underwater sensor …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 34–40 Read article
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Configuration and Properties of Group III Elements in the Periodic Table
Abstract: Group III elements comprise those found in the third column of the periodic table, including boron, aluminum, gallium, indium, and thallium. These elements possess three valence electrons in their outermost shell, characterized by the electron configuration ns2np1, which influences their location and characteristics within the periodic table. The distribution of electron pairs, formal charges, oxidation states, and molecular morphologies of Group III elements and their compounds are illustrated in this …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 23–30 Read article
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Investigative Study of Relationship of Chemical Characteristics of Group V Elements and Electron Structure
Abstract: Understanding the chemical properties of Group V elements through their electron configurations deepens our comprehension of periodic trends. Transitioning from nitrogen to bismuth, we observe a shift from non-metals to metalloids and then to metals, a change driven by the progression of electron shell and orbital filling. This insight is crucial for forecasting and elucidating the varied chemical behaviors and uses of Group V elements, thereby aiding developments in chemistry …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 2, 2025 · pp. 39–45 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Hierarchical Computational Modeling of Physical Structure Across Quark, Nuclear, and Atomic Scales
Abstract: We present a modular, multi-scale computational framework that integrates physical modeling and visualization across quark, nuclear, and atomic scales within a unified pipeline. Developed to address the traditional fragmentation between sub-nucleonic, nuclear, and electronic representations, the system provides a continuous data flow and visualization bridge spanning from femtometers to ångströms. The framework consists of three primary modules: a particle-level module illustrating nucleons as confined quark-triplets with effective flux-tube geometries; a …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 38–53 Read article
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Following the Footsteps of Fiction: Studying the Role of Imagination and the Influence of Speculative Fictions in Technological Innovation and Scientific Development
Abstract: Since the dawn of civilization, human evolution has been fueled by imagination and innovation. From the moment of harnessing fire to crossing the orbital boundary, every step beyond the horizon was led by a visionary thought. Mankind journey from being hunters and gatherers to being the interstellar explorer was consistently driven by their ability to envision a reality beyond the present one. This paper examines how imagination has always preceded …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 1, 2026 Read article
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Sky Scanners: Using satellite remote sensing to figure out what Earth is like
Abstract: Satellite remote sensing has changed the way we look at, study, and learn about the Earth changing systems. Orbiting sensors take data from many different spectral bands, giving us constant, large-scale information about land, oceans, and the atmosphere. This study discusses the fundamental concepts of satellite remote sensing, including the various types of sensors, methods for data acquisition, and techniques for interpreting images. It talks about important uses like monitoring …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 22–33 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article