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24 articles for “Uncertainty principle”
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Heisenberg’s Uncertainty Principle as a Criterion of Truth in Science and Philosophy
Abstract: Werner Heisenberg discovered the fundamental uncertainty relation: the simultaneous accurate measurement of the errors of two variables characterizing the two parameters of quantum mechanical system is impossible. The Heisenberg uncertainty principle became one of the cornerstone principles of quantum mechanics and a consequence of the content of wave-particle duality. Another more important interpretation of the uncertainty principle is the following conclusion: the more precisely one characteristic of a quantum mechanical …
Published in Journal of Aerospace Engineering & Technology · Vol. 12, Issue 1, 2022 · pp. 1–7 Read article
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Classical Physics versus Quantum Physics: An Overview
Abstract: Newtonian mechanics is the foundation of Classical Physics. Newton’s mechanics, Thermodynamics, Wave theory of Optics and Maxwell’s electromagnetic theory belong to regime of Classical Physics and can be used to explain a wide range of phenomena in the Universe at macroscopic scale. These theories fail spectacularly when applied to phenomena in the atomic and nuclear regime, for example, proton-atom scattering or the flow of electrons in a semiconductor. Quantum mechanics …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 4, Issue 2, 2014 · pp. 36–42 Read article
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Tracing the Roots of Dual Nature of Matter and Radiation in Science and Religion
Abstract: Duality (Dual Nature) is a universal character of our life in this Universe. There is an analogy of dual nature of radiation and matter in the domain of Indian Philosophy and Sikh religion, where Ultimate Reality is revealed to exist in its dual nature as sarguna and nirguna Brahman. The concept of Dual Nature of radiation has been in existence since the historical times but it was Max Planck who …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 6, Issue 1, 2016 · pp. 1–7 Read article
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Quantum Cryptography: A New Approach in Cryptographic World
Abstract: AbstractBy applying the phenomena of quantum physics, this technology works. In quantum cryptography two parties can communicate via secure channel. When Stephen Wiesner wrote “Conjugate Coding” Quantum Cryptography was born in early seventies. Two components of quantum cryptography work under the Heisenberg uncertainty principle and the principle of photon polarization. The Heisenberg uncertainty principle states that “it is impossible to determine simultaneously and accurately the position and momentum of subatomic …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 25–28 Read article
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Nature of Reality: Physical, Metaphysical and Mystical Aspects
Abstract: Nature of Reality has been subject of investigations since historical times both in science and religion. The physical interpretation of Reality has experienced a dynamic change from Aristotle to Einstein. Relativity theory and Quantum mechanics have led to formulations of new concepts regarding space, time, matter and reality. Uncertainty Principle by Heisenberg and the concept of dual nature of matter and radiation by Louis de Broglie gave a serious blow …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 5, Issue 2, 2015 · pp. 10–15 Read article
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A Comprehensive Study of Quantum Cryptography
Abstract: Quantum cryptography has emerged as one of the most promising fields in modern information security, offering innovative solutions that have the potential to transform the future of global cyber-defense. Unlike classical cryptographic systems, which depend primarily on the computational difficulty of solving complex mathematical problems, quantum cryptography is grounded in the fundamental and unbreakable laws of quantum mechanics. Core principles such as superposition, entanglement, and the uncertainty principle form the …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 12–26 Read article
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Quantum Mechanics: Revolutionizing Pharmaceutical Sciences
Abstract: Quantum physics and pharmacy have generally been regarded as distinct areas—one investigates the microlevel behavior of non-living matter while the other concentrates on intricate biological systems. Nevertheless, progress in life sciences has increasingly depended on molecular-level insights, whereas quantum physics has advanced beyond basic principles to impact real-world uses. This intersection provides new opportunities for, pharmacy. Quantum entanglement, which allows for instantaneous relationships between particles, can be utilized for secure …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 72–77 Read article
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Review on the Inventions in Third Quantisation with the Possibility of Time-Machine to be implemented in the Indian-Space-Programmes under the Department of Space (Government of India)
Abstract: AbstractQuantum theory is the first quantisation, and quantum field theory is the second quantisation. Mukhopadhyay’s concept theory is the third quantisation in theoretical physics. Recently, few discoveries in third quantisation are performed and reported by Mukhopadhyay as author. In this review work, the inventions in third quantisation are summarised and briefly mentioned by Mukhopadhyay. Indian Space Research Organisation (ISRO) under the Department of Space (Government of India) has highly smart …
Published in Trends in Opto-electro & Optical Communication · Vol. 10, Issue 2, 2020 · pp. 26–31 Read article
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Battery Energy Storage Optimization for Enabling Black Start in Offshore Wind Farms
Abstract: The transition toward power systems dominated by renewable energy sources (RES) introduces significant challenges to the provision of black start services. Black start units are essential for restoring power following a system-wide outage; however, the gradual retirement of conventional generation reduces the availability of such resources, potentially compromising grid resilience. Offshore wind farms (OWFs) are increasingly considered as viable alternatives for black start support. Nevertheless, their inherent variability and intermittent …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 1–15 Read article
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Machine Learning Assisted Design and Analysis of Polymer Composite Materials for Sustainable Renewable Energy Systems
Abstract: Accurate prediction and optimization of polymer composite properties is of paramount importance in the design of these lightweight, durable, and sustainable materials within renewable energy technologies. This work will provide a holistic machine learning-assisted framework that unites materials informatics with domain-specific features and state-of-the-art ML methodologies in the prediction of the mechanical properties of polymer composites, such as tensile strength. This includes embedding several ensemble models, including Random Forest and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 391–402 Read article
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A Review Paper Based on Methodologies and Applications of Data Mining
Abstract: Data mining is like extracting record from a heap of data. Understanding database concepts is vital for data mining. Knowledge Discovery in Databases (KDD) is used to discover crucial data-related information. Our motive is being inundated with exceptional types of information science statistics, environmental records, financial records, and mathematical records. Summarizing the information manually is not possible because of the notable data boom inside the age of community and records …
Published in Recent Trends in Parallel Computing · Vol. 9, Issue 3, 2022 · pp. 8–15 Read article
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Study of Uncertainty Quantifications for Designing Smart Systems
Abstract: Uncertainty is an innate piece of this present reality. No two actual examinations at any point produce the very same result values and numerous significant sources of info might be obscure or immense. Uncertainty impacts practically all parts of designing displaying and plan. Engineers have long managed estimation mistakes, unsure material properties, and obscure plan request profiles by including elements of wellbeing and widely testing plans. By more profoundly getting …
Published in Current Trends in Information Technology · Vol. 12, Issue 3, 2022 · pp. 1–5 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Blockchain Technology: Comprehensive Review and Future Directions
Abstract: Blockchain technology has emerged as a transformative power, restructuring sectors by offering increased security, transparency, and decentralization. This research paper serves as a comprehensive examination of blockchain, aiming to dissect its intricate structure, explore its myriad applications, confront existing challenges, and envision future advancements. At its core, the problem addressed herein is the imperative to comprehend the present landscape of blockchain technology, discern its limitations, and chart a course toward …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 33–38 Read article
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Fuzzy Probability Distributions and Their Applications in Uncertain Data Analysis
Abstract: This study explores the use of fuzzy probability distributions in data analysis under uncertain conditions, with a specific focus on their implementation in evaluating call center customer satisfaction. Traditional probability models rely on precise parameters, often failing to account for the inherent variability and subjectivity present in real-world data. In contrast, fuzzy probability distributions, which integrate fuzzy logic principles, offer a more adaptable and realistic framework for addressing such complexities. …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 1–8 Read article
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Optimization of Biohybrid Polymer Synthesis Using Fuzzy Inference Systems
Abstract: This investigation proposes a methodology to optimize biohybrid polymer synthesis using fuzzy inference systems (FIS). The study combines fuzzy logic principles with mathematical calculations for finding the best synthesis parameters to enhance the synthesis quality. This study consists on a sample about the use of FIS on optimisation of polymer synthesis, where they show the process of fuzzification, rule base creation, inference mechanism and defuzzification using the centroid method through …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 36–47 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Structural Design of Offshore Structures: A Review of Indian and International Standards
Abstract: Offshore structures—including fixed steel jackets, topside modules, offshore wind turbine support structures, and floating systems—are designed to withstand combined gravity, environmental, seismic, and operational loads under substantial uncertainty and limited access for inspection and repair. Structural design practice has historically relied on internationally recognized standards, particularly the American Petroleum Institute’s API RP 2A, the International Organization for Standardization’s ISO 19900 series, including ISO 19902 for fixed steel structures, and Det …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 13, 2026 · pp. 36–51 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article