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235 articles for “Space applications”
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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Analysis and Comparison of Space Vector and Sinusoidal PWM Controlled Two Level Inverter Fed 3- Induction Motor
Abstract: The current generation of variable speed drives is typically based around the real-time digital generation of Pulse-Width Modulated (PWM) waveforms using either microprocessors or application-specific integrated circuits in many ways. PWM generation techniques for getting the control of inverters have the major advantages that component drift and tolerance problems associated with earlier analog implementations. Of all the various PWM techniques Sinusoidal and Space vector PWM techniques are more prominent. The …
Published in Trends in Electrical Engineering · Vol. 3, Issue 1, 2013 · pp. 1–11 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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CPW feed Flexible Antenna for Wireless Applications
Abstract: Flexible Microstrip CPW Feed Antenna using flexible FR-4 substrate is analyzed and presented over here. The Copper is used as conductive material for patch and CPW feed respectively. The performance in terms of return loss, gain, VSWR and radiation pattern is evaluated. The impedance bandwidth and gain of flexible antenna is 20.25% (2.179 GHz-2.665 GHz), 21.44% (3.232 GHz-4.026 GHz) and 1.4 dBi, 0.009 dBi respectively. The flexible property of the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 18–24 Read article
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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Next-Generation Satellite Remote Sensing: Innovations, Applications, and Future Prospects
Abstract: Advances in satellite remote sensing have revolutionized our ability to monitor, analyze, and understand the Earth's environment across various scales. Over the past few decades, the field has seen remarkable progress in sensor technology, data processing techniques, and analytical methodologies. Modern satellites now provide high-resolution imagery and multi-spectral data, enabling enhanced monitoring of land cover, atmospheric conditions, oceanic dynamics, and natural disasters. These advancements have facilitated improvements in climate change …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 37–62 Read article
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A Study of Fixed-Point and Best Proximity Point
Abstract: Fixed-point theory plays a fundamental role in nonlinear analysis and has significant applications in optimization, differential equations, and applied mathematics. This study investigates the existence and properties of fixed points and best proximity points for various classes of mappings defined on metric and normed spaces. While fixed-point results guarantee the existence of a point that remains invariant under a given mapping, such points may not exist when the mapping is …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 28–39 Read article
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Space Optimization for Residence
Abstract: Apartments are getting smaller as urban housing density rises and the population grows. People are being forced to inhabit less space as a result of rising urbanization expenses and housing costs. In order to have quick access to all of the city's amenities, we find ourselves preferring small flats in the city center or as near to it as feasible. Living in a tiny flat has advantages and disadvantages, of …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 10–19 Read article
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Comprehensive Analysis of Counting by Sorting
Abstract: Sorting algorithms play an important role in computer science, as they facilitate the effective organization and retrieval of data. Counting sort is a non-comparative integer sorting algorithm that works well with a limited number of integers known beforehand. The process, advantages, and limitations of this sorting algorithm were investigated in this study. Unlike other comparison-based sorting algorithms, counting sort achieves a time complexity of O(n+k), which depends on the input …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Acoustic or Sonic Log Analysis Identifying the Subsurface Geophysical Changes in Hydrocarbon Bearing Zones in Oil and Gas Potential Sedimentary Basins
Abstract: The introduction of acoustic/sonic logs to oil and gas industry is barely decades old. But, even within such a short span of time it has become an integral part of most of the modern logging programmes. With the recent introduction of acoustic scope pictures, this may even hold a promise of making the old dream of seeing the hydrocarbon in situ come true. In this paper, an attempt has been …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 22–35 Read article
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Mobile Technologies and Library
Abstract: Mobile technology has significantly transformed the landscape of library services by enhancing accessibility, operational efficiency, and user engagement. With the widespread adoption of smartphones and tablets, libraries have rapidly evolved to offer mobile-friendly services that cater to the needs of modern users. These services include mobile access to online catalogues, digital lending platforms, virtual reference services, and remote access to e-books, academic journals, and research databases. By leveraging mobile applications, …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 27–30 Read article
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Deep Learning for Earth Observation Using Satellite Imagery: A Comprehensive Review
Abstract: Earth observation (EO) satellites provide continuous, large-scale information about the Earth's land, oceans, atmosphere, vegetation, infrastructure, and environmental conditions. The rapid growth of multispectral, hyperspectral, synthetic aperture radar (SAR), thermal, and high- resolution satellite missions has generated large volumes of heterogeneous spatial and temporal data. Conventional image-processing and machine-learning techniques often require manually designed features and may have difficulty representing the complex spatial, spectral, temporal, and multimodal characteristics of satellite …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Dimensionality Reduction using Eigenfaces and Fisherfaces for Face Recognition Applications using Kernel LMS Algorithm
Abstract: AbstractFace recognition is an intricate numerical technology in computer systems that can support recognition of human faces using methods such as principal component analysis (PCA), linear discriminant analysis (LDA), etc. by comparing the given facial uniqueness with the already available face database. PCA and LDA are classical feature extraction and data representation techniques used in face recognition algorithm involving unsupervised statistical methods. The 2-D facial image can be transformed into …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 29–55 Read article
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Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
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GSM Based Coal Miners Safety Monitoring Helmet
Abstract: A Coal Miners sensible Helmet is a wearable device that will facilitate coal miners keep safe. Observance the protection of coal miners' operating conditions are often finished in this device. It monitors the temperature, humidity, harmful gas concentration, and vibration. The information is analyzed and sent to the room and therefore the room decides that action must be taken supported the parameters sent. This paper uses LoRa communication technology alongside …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 13–18 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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An Overview of the Emerging Technology: Blockchain
Abstract: Blockchain is fundamentally decentralized, disseminated record of the considerable number of exchanges or occasions which happens simply subsequent to including numerous gatherings. It guarantees elevated level of security as the exchanges which happens are altogether unknown. Every exchange or advanced occasions occurring in a Blockchain arrange is checked, just in the event that it is settled upon by the agreement of the greater part gathering of the clients partaking right …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 18–22 Read article
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Smart QR Based Parking System
Abstract: Abstract: Today parking management is a big issue in our society because of rapid growth in a number of vehicles day by day so in order to manage this problem, there has to be a solution, which helps getting rid of problems arising due to the lack of a proper parking management system. Hence finding a parking space has become an unpleasant experience in many metropolitan cities. There are many …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 3, 2019 · pp. 12–18 Read article