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392 articles for “Valid Time”
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FEA Simulation for Optimization of Laminated Composite Plate with Cutout in Free Vibrations
Abstract: Laminated composites have a large application in engineering. The work done in this study is to see the free vibration response of graphite epoxy composite square plate subjected to different boundary conditions. Finite element analysis has been done on the software ANSYS. The results obtained by the simulation have been compared with those obtained from a published data obtained by semianalytical solution. It is observed that the solutions through ANSYS …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 4, 2021 · pp. 6–17 Read article
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Blockchain Infused Decentralized Land Registry System
Abstract: Accurate land measurement and documentation of land ownership and use are critical for effective land administration and management. However, traditional land measurement systems are often inefficient, inaccurate, and lack transparency, which can lead to disputes, fraud, and corruption. To address these issues, we propose a smart contract-based land measurement system that provides a secure, transparent, and efficient way to measure and document land ownership. Our system utilizes smart contracts, which …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 11–19 Read article
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Electromagnetic Transients and Frequency Characteristics of a Loaded Horizontal Conductor above Lossy Earth
Abstract: This paper addresses the electromagnetic transients and the frequency characteristics of a thin conductor horizontally suspended above lossy earth. The analysis takes into consideration the receiving-end termination and the earth parameters. The effect of the ground return is represented by incorporating the concept of the complex penetration depth in the formulation of the line’s equations in the s-domain. The resulting simultaneous differential equations governing the voltage and current are solved …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 29–41 Read article
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Development and Validation of a Gradient RP-HPLC Method for Quantitative Determination of Potential Manufacturing Impurities in New Drug Apronalide and Pharmaceutical Formulations
Abstract: Three impurities in apronalide drug substance were detected and quantified using a simple isocratic reverse phase HPLC method. The chromatographic separation was achieved on a Thermo Hypersil gold-CN, 100 A0 5 µm, and 250X4.6 mm using a mobile phase consisting of phosphate buffer (pH-4.6) - Methanol with UV detection at 210 nm and flow rate of 0.8 ml/min. The column temperature was maintained at 250C throughout the analysis. This method …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 1, Issue 1, 2014 · pp. 1–10 Read article
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Direct Torque Control Based on Discrete-Time PI Controller of an SVPWM Inverter Fed Induction Motor Using Energy Model
Abstract: A direct torque control (DTC) of an induction motor (IM) with constant switching frequency has been presented in this work which is performed using space-vector modulation (SVM). The developed DTC scheme is based on the discrete-time PI controller strategy and this has been used to achieve direct control of torque of IM. To design the discrete-time PI (DTPI) controller the energy model of induction motor is simplified at the beginning …
Published in Journal of Power Electronics and Power Systems · Vol. 2, Issue 2, 2012 · pp. 45–55 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article
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Online Monitoring of Energy Metres And Load Control Using IOT
Abstract: In this paper, online monitoring of energy meter and load control based on the internet of things (IoT) has been developed to optimize energy consumption and reduces human labour. Since E-meters, or electronic meters, have recently played a significant part in the development of cost- and power-effective systems. It has a highly effective and productive programmed meter reading architecture in the far future (AMRS). The purpose of this essay is …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 24–29 Read article
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Electromagnetic Transients of a Sagging Conductor above Lossy Earth—Effect of its Loading and of the Earth Parameters
Abstract: This paper addresses the electromagnetic transients of a non-uniform overhead transmission line conductor with due consideration of its receiving-end load, its sag and of the earth parameters. The concept of the complex penetration depth is adopted in the formulation of the line’s equations in the s-domain. A relation for the conductor height as a function of the longitudinal co-ordinate is derived and incorporated in the analysis. The two simultaneous differential …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 3, 2017 · pp. 47–59 Read article
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Realization of Trust and Reputation Models in Extreme Fraudulent Environment over ODC WSNs
Abstract: During the last years, WSNs and its relevance have obtained considerable momentum. In WSNs, every sensor is deployed in different location for particular object. Due to unstable conditions, sensors are unable to perform an anticipated result. At this stage, we totally loose our security and it shows inaccuracy in result. So, we focused on the mutual trust between the source to sink and vice versa in WSNs. In this paper, …
Published in Recent Trends in Sensor Research & Technology · Vol. 2, Issue 2, 2015 · pp. 6–15 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Data-Driven Life Prediction of Fiber-Reinforced Polymer Composites Using IoT Sensing and Machine Learning Algorithms
Abstract: The accurate prediction of fatigue life in fiber-reinforced polymer (FRP) composites remains a major challenge due to their nonlinear, multi-mechanism degradation behavior under variable loading conditions. This study presents a data-driven framework, H-LiProNet, which combines real-time IoT sensing with hybrid machine learning to estimate remaining useful life (RUL) in FRP composites. The proposed system integrates embedded Fiber Bragg Grating (FBG) and acoustic emission (AE) sensors to capture strain and damage …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 116–130 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Predictive model of wind turbine rotor-blade deflection
Abstract: A simulation process has been developed to predict wind turbine rotor-blade deflection caused by gravity effects. The model is based on the rotor-blade segmentation in finite elements, each one considered as an independent structure. The simulation has been extended to n-elements to make a more precise approach to the real performance. The range of deformation has been determined for a wind turbine rotor-blade analysing the effects of forces that creates …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 · pp. 49–63 Read article
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Applications of Marshall-Olkin Generalized Family of Distributions
Abstract: In this paper, we discuss the applications of Marshall-Olkin extended distributions introduced by Marshall and Olkin A new method for adding a parameter to a family of distributions with Application to the Exponential and Weibull Families, Biometrica, 84, 641-652. We provide several applications of the Marshall-Olkin extended family of distributions in reliability theory, entropy analysis, stress-strength reliability modelling, exponentiated generalized distributions, acceptance sampling inspection plans, record values and autoregressive minification …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 22–37 Read article
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Quasi-Dimensional Thermodynamic Performance and Emission Modelling for Dual-Fuel SI Engine Operation Using Waste-Based Producer Gas and Methane
Abstract: Rising energy crisis and urgent need for better waste-handling techniques have gained significant attention. Integration of wastes-to-wealth and Green Energy evolution techniques are prime sustainable measures towards countering this menace. Moreover, Internal Combustion (IC) engines are significant energy consumers and their emissions play a major factor in global warming and ecological obliteration. Concerning these aspects, investigations should strive at emissions minimization and reutilization of low-impact industrial byproducts. Thus, using methane …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 446–458 Read article
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Design and Analysis of Smart Solar EV Charging System
Abstract: The rising demand for electric vehicles (EVs) has generated an urgent requirement for sustainable and advanced charging systems. This study delineates the design and analysis of an intelligent solar EV charging system intended to reduce dependence on the grid and optimize the utilization of renewable energy. The system incorporates a solar photovoltaic (PV) array, battery energy storage, and an IoT-enabled smart controller to optimize power delivery. A Maximum Power Point …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 06–15 Read article
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Analytical Solution to Bi-Linear Spring Mass Systems Free Vibration
Abstract: Dynamic systems are generally categorized as linear and non-linear systems based on the analysis approaches developed. Bi-linear spring mass systems form an intermediate category which possesses characteristics of both linear and non-linear systems. Analytical solutions to bi-linear systems cannot in general be reduced to a single equation covering the entire motion domain as in the case of linear systems. Nevertheless, the step-wise linear solutions can be obtained within each domain …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 21–35 Read article
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Intelligent automated railway crossing gate control system
Abstract: The high incidence of accidents at railway level crossings due to human errors and lack of proactive track monitoring is a challenge for rail safety in high-density networks. This paper proposes the development and validation of an intelligent automated railway crossing system- IARCS that leverages sensor fusion and IoT communication to eliminate human dependency and mitigate intrusion risks. The core system deploys an Arduino Uno for the purpose of primary …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 20–28 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