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146 articles for “Keywords: architecture”
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FPGA Improved I2C Protocol for Multiple Slave Device Using VHDL
Abstract: RTC, EEPROM, and an OV7620 image sensor are the slave devices that interact with the FPGA in this case (functioning as the I2C master device). Using the VHDL language, the process proceeds from system definition to functional design. The thesis presents the findings of simulated waveforms used for design verification. Additionally, hardware verification is carried out, and useful outcomes are shown. The results are compared with earlier reference work in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 · pp. 1–9 Read article
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FPGA Improved I2C Protocol for Multiple Slave Device Using VHDL
Abstract: RTC, EEPROM, and an OV7620 image sensor are the slave devices that interact with the FPGA in this case (functioning as the I2C master device). Using the VHDL language, the process proceeds from system definition to functional design. The thesis presents the findings of simulated waveforms used for design verification. Additionally, hardware verification is carried out, and useful outcomes are shown. The results are compared with earlier reference work in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Hybrid Organic–Inorganic Metal Halide Perovskite Solar Cells: A Comprehensive Review of Materials, Device Architectures, Stability, Hysteresis, and Commercialization Challenges
Abstract: Hybrid organic–inorganic metal halide perovskite solar cells (PSCs) have emerged as a major focus of photovoltaic research due to their remarkable increase in power conversion efficiency, reaching 28% within a short period. Perovskite materials exhibit several attractive properties, including long charge-carrier diffusion lengths, tunable band gaps, and excellent light absorption capability. In addition, their low-cost fabrication processes combined with high efficiency make PSCs strong competitors to conventional silicon-based solar cells. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 · pp. 47–60 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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The Intersection of Nanotechnology and IoT: New Era of Connectivity
Abstract: The rapid evolution of IoT (IoT) has transformed various sectors, fostering unprecedented connectivity and data exchange between devices. The incorporation of nanotechnology into IoT systems presents unique opportunities to enhance performance, reduce energy consumption, and miniaturize components, thereby paving the way for next-generation smart devices. This study explores the synergies between nanotechnology and IoT, evaluating key advancements in nano-enabled devices, sensors, and communication technologies. A comprehensive analysis of existing literature …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 1, 2025 · pp. 9–17 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Revolutionizing Bone Grafting: A Survey of 3D Printed Solutions
Abstract: Due to the limits of conventional grafts, large bone deficiencies resulting from illness or trauma continue to be a significant clinical challenge. Autografts, while osteoconductive and osteoinductive, are limited by donor availability and morbidity, and allografts/xenografts carry risks of immune rejection and disease transmission. In contrast, 3D printing (additive manufacturing) enables fabrication of patient-specific bone scaffolds with controlled architecture, composition, and bioactivity. Using techniques, like selective laser sintering (SLS), stereolithography …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 16–23 Read article
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Rural electrification through micro-grid design case study
Abstract: We introduce the design and experimental demonstration of a scalable DC micro-grid for rural electrification in the developing regions. The distributed control of the grid voltage is one of the main features of the DC micro-grid architecture, which allows both instantaneous power sharing and a metric for available grid power. A droop-voltage power-sharing scheme is utilized wherein the bus voltage decreases in response to low supply/high demand. Besides that, the …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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Bidirectional DC–DC Converter Design and Control for EV Charging Stations with Grid Support Capability
Abstract: The rapid proliferation of electric vehicles (EVs) has intensified the demand for advanced charging infrastructure capable of delivering reliable, efficient, and grid-aware power management. Conventional unidirectional chargers are inadequate for modern smart-grid applications, as they preclude the utilization of stored battery energy for grid support functions. This paper presents the design, mathematical modeling, and simulation-based validation of a non-isolated bidirectional DC–DC buck–boost converter rated at 20 kW for EV charging …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 1, 2026 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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A Comparative Environmental Analysis of Traditional and Concrete Construction Methods in Urban India: Statistical Insights into Carbon Footprints, Resource Consumption, and Waste Generation
Abstract: Significant effects on the environment and climate change have resulted from India’s shift from traditional building techniques to the growth of concrete jungles. Traditional structures used passive cooling, cross-ventilation, and the thoughtful use of courtyards and open spaces. They were made from natural materials that were sourced locally, such as clay, wood, stone, and thatch. Because they were made to use as little energy as possible, encourage natural temperature regulation, …
Published in International Journal of Housing and Human Settlement Planning · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Comparative Study on Response of High-Rise Building with Normal Framing, Transfer Girder and Transfer Floor
Abstract: The rapid developments in the modern infrastructure in the present decades for High rise building requires deep knowledge of architectural and Structural design. To meet the architectural demand and to provide sufficient parking space in high rise building the structural element such as Transfer Floor and Transfer Girder are commonly design. The present research study focus on the behavior of high rise building with Transfer Girder and Transfer Floor. Total …
Published in International Journal of Structural Engineering and Analysis · Vol. 9, Issue 2, 2023 · pp. 19–31 Read article
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Aranya Housing Project: A Paradigm of Affordable Housing and Inclusive Design
Abstract: The Aranya Housing Project, designed by the visionary architect Balkrishna Doshi, stands as a benchmark in the realm of affordable housing and sustainable urban development. Situated in Indore, India, and completed in 1987, the project was conceived to address the acute housing shortage faced by low- and middle-income groups in rapidly urbanizing regions. Moving away from conventional grid-based layouts, the project adopts an innovative, community-focused approach that integrates incremental housing …
Published in International Journal of Housing and Human Settlement Planning · Vol. 11, Issue 1, 2025 · pp. 12–19 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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Evaluation of the Flow Properties of Self-Compacting Fly-ash Concrete Using Artificial Neural Network
Abstract: The purpose of this study is to examine the feasibility of using artificial neural network programming for the calculation of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely; the cement content, the dosages of fly-ash, water, fine aggregate, coarse aggregate, and superplasticizer. The model is founded on a multilayer feed forward neural network. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 2, 2021 · pp. 35–40 Read article
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AI-Driven Hybrid Neural Network Architecture for Medical Image Segmentation: A Novel Approach for Early Disease Detection
Abstract: One of the key factors in detecting early diseases is medical image segmentation. Medical image segmentation can be very complex due to the differences in image quality, noise, and specific anatomical structures of individual patients. A novel approach for a hybrid neural network structure that combines the power of convolutional neural networks, and the transformer-based models is described here for improved accuracy and robustness of medical image segmentation. Unlike traditional …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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From Cloud to Edge–The Comprehensive Impact ofEdge AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence (AI) can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology. Autonomous driving, smart …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 1–13 Read article
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FROM CLOUD TO EDGE – THE COMPREHENSIVE IMPACT OF EDGE AI
Abstract: By bridging the divide between localized device intelligence and centralized cloud computing, edge artificial intelligence can transform existing businesses and social paradigms. Extreme real-time data processing, enhanced privacy, and decreased latency are among the capabilities. To comprehend how Edge AI interacts with hybrid systems that result in full integration with cloud computing, this paper thoroughly examines the whole architecture and important technologies utilized in this technology.Autonomous driving, smart cities, healthcare …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 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