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650 articles for “Simulation”
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Performance Evaluation and Structural Integrity Assessment of Critical Components in a Glass Vacuum Lifter Using Static-Structural and Modal Analysis
Abstract: Glass handling operations in construction, manufacturing, and industrial sectors require reliable lifting systems to ensure safe transportation while minimizing the risk of damage and improving operator safety. Vacuum lifters have emerged as an effective solution for handling large and fragile glass panels by generating secure holding forces through suction pads. The structural integrity and dynamic performance of critical components, particularly the suction pad and lifter arm, play a vital role …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 2, 2026 · pp. 1–17 Read article
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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Edge AI-Based Smart Passenger Protection Systemwith Accident Severity Classification andAutonomous SOS Communication
Abstract: This project presents the design and implementation of an Edge AI-Based Smart Passenger Protection System to enhance passenger safety during hazardous situations inside vehicles. The system integrates an MQ-2 gas sensor, an impact sensor, an Edge AI-enabled microcontroller, a two-channel relay module, and a buzzer to provide intelligent and autonomous safety responses in real time. The gas sensor continuously monitors the air quality inside the vehicle cabin, while the Edge …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Integrating 3D Printing Technology in Sustainable Interior Design forEnhanced Human Comfort and Environmental Stewardship
Abstract: As people spend nearly 70% of their time indoors, the quality of interior environments has a significant impact on human comfort, health, and overall well-being. Many indoor spaces are negatively affected by pollutants and toxins originating from construction materials, furnishings, surface finishes, and inadequate ventilation, often contributing to issues such as Sick Building Syndrome (SBS). Enhancing indoor environmental quality (IEQ) has therefore become a critical concern within sustainable design. This …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 · pp. 13–18 Read article
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A Comparative Study of JWT and Web Authn for Password less Authentication in MERN Stack Applications
Abstract: More than 80% of web application breaches are rooted in credential compromise, yet password-based login continues to be the default choice in most MERN stack deployments. This paper reports on a side-by-side implementation of JSON Web Token (JWT) and Web Authentication (WebAuthn) within a shared MERN reference application built on React 18, Express.js 4.18, Node.js v20 LTS, and MongoDB Atlas M10. The JWT branch uses bcrypt at cost factor 12 …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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INFLUENCE OF CONSTANT AND VARIABLE PASTERNAK FOUNDATIONS ON DAMPED SIMPLY SUPPORTED BERNOULLI-EULER BEAM UNDER MOVING LOADS
Abstract: This study presents an analytical investigation of the dynamic behavior of a simply supported uniform Bernoulli-Euler beam resting on both constant and variable Pasternak foundations subjected to concentrated moving load with damping. The governing equations of motion were formulated by incorporating the effects of foundation stiffness, shear interaction, damping, and load inertia. Analytical solutions were obtained for both moving-force and moving-mass problems. For the constant foundation case, the Generalized Finite …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 13–29 Read article
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The Effect of Stand-off Distance and Blast Yield OverStructure in Blast Test
Abstract: AbstractExplosive loads have garnered a lot of attention lately because of numerous unintentional and deliberateoccurrences that have affected important structures all over the world. As a result, there has been a lot ofresearch in this area over the last ten years. Although most of the early studies were empirical, morerecent studies have progressed into thorough and organized studies that focus on understanding thebehavior of structures subjected to blast loading conditions. …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Adaptive Production Scheduling in Multi-Machine Manufacturing Environments
Abstract: For manufacturing processes to meet evolving market demands, they must be executed in the most efficient manner while maintaining flexibility against unanticipated disruptions. Often, traditional scheduling methods overlook dynamic variability and real-time interruptions. An inverse scheduling framework for a multi-machine flowshop system is proposed in this research with the primary objective of makespan minimisation. Several issue situations are analysed to validate the algorithmic efficacy, and metaheuristic techniques are used to …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Mechanical and Thermal Characterization of Natural Fiber-Reinforced Epoxy Composites for Structural Applications
Abstract: Natural fiber reinforced polymer (NFRP) composites have emerged as promising alternatives to conventional synthetic fiber composites owing to their environmental sustainability, low density, and competitive specific mechanical properties. However, a comprehensive and simultaneous evaluation of both mechanical and thermal performance of jute/sisal hybrid natural fiber epoxy composites under systematic fiber treatment conditions remains insufficiently addressed in the literature. The present study investigates the mechanical and thermal characterization of jute and …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 1, 2026 · pp. 37–48 Read article
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The Biomechanical Impact of Slipper Sole Compliance on Lumbar Spine Load: A Quantitative Analysis of Indoor Footwear Ergonomics
Abstract: Abstract The global shift toward remote work has significantly increased the duration of indoor footwear usage, yet the ergonomic standards for slippers remain critically under-researched compared to athletic or industrial footwear. While "high-compliance" or soft slippers are traditionally marketed for immediate comfort, excessive mechanical softness may lead to foot instability, altered gait kinetics, and subsequent compensatory stress on the lumbar spine. This study aims to quantify the correlation between varying …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 30–35 Read article
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Design and Implementation of 32-Bit High Speed Vedic Multiplier
Abstract: To accomplish quicker and more effective calculation, this project combines a Kogge-Stone Adder with the Vedic Urdhva Tiryagbhyam (vertical and crosswise) multiplication method to create a high-speed 32-bit binary multiplier. The KoggeStone Adder minimizes total latency by reducing carry delay at the final addition stage, while the Vedic algorithm allows partial products to be formed simultaneously, increasing speed. This architecture divides 32-bit values into smaller components, multiplies them in parallel, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 1, 2026 · pp. 18–26 Read article
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Phase-Change Material Integrated Semiconductor Circuits for In-Memory Analog Computing Applications
Abstract: The continuous demand for high-speed, energy-efficient computing has intensified the exploration of in- memory analog computing (IMAC) architectures, which aim to minimize the latency and power overhead associated with conventional von Neumann architectures. This research investigates the integration of phase- change materials (PCMs) with semiconductor circuits to realize programmable, non-volatile in-memory analog computing platforms. PCMs exhibit reversible resistance switching between amorphous and crystalline states, enabling precise analog weight storage directly …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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Performance Evaluation of EV Charging Station with Bidirectional Power Flow for Grid Support Applications
Abstract: The swift increase in the number of electric vehicles (EVs) brings considerable prospects and difficulties for contemporary power distribution networks. This paper presents the performance evaluation of a 20 kW bidirectional EV charging station designed to facilitate both Grid-to-Vehicle (G2V) and Vehicle-to-Grid (V2G) power flow for enhanced smart grid support applications. The proposed topology integrates an AC/DC bidirectional converter interfaced to the 415 V, 50 Hz three-phase utility grid through …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 · pp. 21–28 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Solar-Powered Electric Vehicle Charging Station with Smart Load Scheduling
Abstract: The rapid rise in EV usage has increased demand for environmentally friendly and cutting-edge charging infrastructure. This paper outlines the creation and deployment of a solar-powered EV charging station that incorporates a smart load scheduling system aimed at optimizing energy consumption, minimizing reliance on the grid, and improving charging efficiency. To guarantee practical feasibility and scalability, the proposed system encompasses thorough design work, modelling, and performance assessment. A bidirectional converter …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 7–14 Read article