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480 articles for “Dim mode”
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Structural Health Monitoring of Steel Bridge Model using Sensor
Abstract: The structure needs to be monitored after periodic time in its service life. SHM refers to be theprocess of implementing a damage detection and characterization strategy for engineeringstructures. This helps to lead a cost-effective management and can also help to increase theservice life of the structure. Civil engineering structures pose certain challenges whilemonitoring due to its large dimensions and different types of materials. The structural healthmonitoring is a term increasingly …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 14–18 Read article
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Application of ANSYS in heat transfer characteristics of straight hollow tubes
Abstract: The mess analysis of straight hollow tubes have been done by many analysis software but out of all ANSYS be considered as the better due the provision of change in parameters. Therefore in the present study, ANSYS Fluent is used for the analysis of the straight tubes. ANSYS Workbench is used for the analysis. Geometry tool Design Modeler is then applied for the design of the tubes. The solution of …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 10, Issue 1, 2023 · pp. 41–52 Read article
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Evaluation of SAR and Temperature Elevation in Human Head for Advanced Wireless Services (AWS) Application
Abstract: In this paper, the specific absorption rate (SAR) and the temperature rise in the SAM phantom human head model as a consequence of the exposure to radiation of planar inverted F (PIFA) mobile handset antenna has been estimated at Advanced Wireless Services (AWS) band downlink frequency range. Biological hazards on human head owing to electromagnetic wave (EMW) exposure in advanced wireless services has been analyzed by computing the temperature rise …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 3, 2016 · pp. 19–24 Read article
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article
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Automation and new mechanical technologies changing the next industrial age
Abstract: The fast growth of automation and new mechanical technologies is changing the way industries work, making manufacturing and production systems more efficient, accurate, and flexible than ever before. This article looks at how sophisticated mechanical design, robotics, and intelligent automation technologies can work together and how they can improve productivity, lower costs, and make operations more sustainable. To show how mechanical engineers are influencing the next industrial era, we look …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 18–23 Read article
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A Study On Power Losses And Reduction of Power Losses In Power System
Abstract: Now the world's power supply system is a large unit, large grid, high voltage as the main characteristics of the centralized single system. Although the power load of the world's number is powered by such a single large power grid, the demand for quality and safety reliability of energy and power supply is increasing in today's society, and the large power grid cannot meet this requirement because of its own …
Published in Journal of Microelectronics and Solid State Devices · Vol. 8, Issue 3, 2021 · pp. 16–25 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Thermal Effect on Vibration of Non-homogeneous Parallelogram Plate of Linearly Varying Thickness
Abstract: In this paper, free vibration of non-homogeneous parallelogram plate of linearly varying thickness subjected to a linear temperature distribution along the length of the plate has been studied. Thermal Induced vibration of such plates has been taken as one dimensional temperature distribution in linear from only. The Rayleigh–Ritz technique has been used to determine the frequencies equation of the plate. The frequencies corresponding to the first two modes of vibration …
Published in Journal of Experimental & Applied Mechanics · Vol. 4, Issue 1, 2013 · pp. 8–14 Read article
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QSAR Analysis on a Series of Triazole Based Tubulin Polymerization Inhibitors
Abstract: AbstractThe polymerization progression of microtubules is vital to their natural capacities. Polymerization flow allows microtubules to embrace spatial courses of action that can change quickly because of cell needs and, at times, to perform mechanical work. Compounds that interfere with the microtubule-tubulin equilibria in cells are helpful in the treatment of human diseases. A few triazoles mimics of combretastatin-benzothiazole (CAB) hybrids had good activity as inhibitors both of tubulin polymerization …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 4, Issue 2, 2017 · pp. 5–20 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Post Halela Zard (Terminalia chebula Retz.): A Review on Medicinal Utility from the Perspective of Unani Medicine
Abstract: Halela Zard (Terminalia chebula Retz.), commonly known as Haritaki in Sanskrit and Chebulic Myrobalan in English, is a cornerstone of Unani pharmacotherapy due to its remarkable therapeutic versatility. The dried pericarp of its fruit has been extensively employed in traditional medicine for the treatment of a wide spectrum of ailments, ranging from digestive disturbances to chronic systemic disorders. This review aims to present a comprehensive overview of Halela Zard by …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 19–26 Read article
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Optimizing PLA Filament Production for Enhanced 3D Printing Performance
Abstract: This research explores the optimization of polylactic acid (PLA) filament production to improve its performance in 3D printing applications. PLA is a widely used biodegradable polymer known for its eco-friendliness and ease of processing in additive manufacturing. The study investigates various parameters affecting PLA filament production, including material purity, extrusion temperature, filament diameter consistency, and cooling methods. Furthermore, the research evaluates how these fabrication parameters influence the printability of PLA …
Published in International Journal of Energy and Thermal Applications · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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A Study on Feature Subset Selection in Feature Streams of Dynamic Data
Abstract: As the use of real-time data with high dimensions continues to expand across various domains, selecting important features from the dataset is a key step to improve the predictive accuracy and time taken to build a machine learning model. In datasets where not all features are available at the same time and we are unaware of the total number of features, and features arrive at different time stamps, for example, …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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An Augmented Reality-based Application
Abstract: Abstract: This paper is the art of applying 3D design and to implement the computer-generated 3D environment to our real- world environment using the latest augmented reality (AR) technology for entertainment or for educational or experimental purposes. Through this project we want to design and build an application and a game which helps to augment the computer-simulated environment into our real-world and which is a very latest and fastest growing …
Published in Current Trends in Information Technology · Vol. 9, Issue 3, 2019 · pp. 14–39 Read article
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Exploring the Influence of Machining Parameters on Geometric Form and Orientation Controls (23 Design)
Abstract: This work explores the influence of machining parameters using on geometric form controls flatness and straightness as well as orientation control parallelism using an aluminum 6061 workpiece. Due to its good strength, machinability and cost- effectiveness, aluminum 6061 is widely used. In this experimental work, full factorial design is used and each factor has two levels. The response parameters chosen include flatness, straightness, and parallelism, which govern the form and …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Dissipative Particle Dynamics Simulation Study on the Evolution of Photoinitiated Free Radical Polymerization Crosslinked Networks
Abstract: Gradient polymer materials overcome the limitations of conventional homogeneous polymers by integrating multiple distinct functionalities within a single continuous structure. Although photoinitiated free-radical polymerization offers excellent spatial and temporal control, the underlying microscopic mechanisms governing network evolution under non-uniform light fields remain poorly understood. In this study, a mesoscale dissipative particle dynamics (DPD) model was successfully developed to couple free-radical polymerization kinetics—including initiation, propagation, crosslinking, and termination—with exponential light attenuation …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 142–158 Read article
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Efficiency Improvement of Permanent Magnet Rotating Electrical Machine (PMREM) with Permanent Magnet Material Selection
Abstract: There are many Permanent Magnet Machines available in the market with the different type of PM material. The rare earth permanent magnet material changes the whole scenario of the market. In comparison with SmCo and AlNiCO magnets, NdFeB magnets have low corrosion resistance. Their chemical reactivity is similar to that of alkaline earth metals like magnesium. Under normal conditions the NdFeB reacts slowly. The reaction is faster at higher temperatures …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 1, 2014 · pp. 1–6 Read article
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Kinetics of Non-isothermal Crystallization of Ge-Se-Sn Chalcogenide Glasses
Abstract: AbstractThe calorimetric measurements of as-prepared Ge30-xSe70Snx (8≤x≤20) chalcogenide glasses have been performed using differential scanning calorimetery (DSC) at five different heating rates (10, 15, 20, 25 and 30 Kmin-1) under non-isothermal conditions. These non-isothermal calorimetric measurements have been analyzed in terms of activation energy (Ec), Avrami exponent, dimensionality of growth, frequency factor, Ko(sec-1), half time of crystallization,t1/2(min) and crystallization rate parameter. These kinetic parameters have been evaluated using different theoretical …
Published in Research & Reviews : Journal of Physics · Vol. 4, Issue 2, 2015 · pp. 25–34 Read article