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282 articles for “Scenario”
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Numerical Investigation on Structural Behavior of RC Beam-Column Joints: Beam Weak in Shear
Abstract: This study presents a numerical investigation on structural performance of reinforced concrete (RC) beam-column joints (BCJ) with beam weak in shear subjected to cyclic loading. Retrofitting techniques are explored, utilizing Glass Fiber Reinforced Polymer (GFRP) for shear strengthening, in accordance with ductile detailing standards outlined in IS 13920:2016. The column and beam elements are designed following the guidelines of IS 456:2000. Various specimen scales, including full-scale, 2/3-scale, and 1/3-scale specimens, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 202–226 Read article
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The Role of Adaptive Filters in Enhancing Acoustic Echo Cancellation Efficiency in Noisy Environments
Abstract: The novel approach that this work discusses is a DCD-based iterative learning filter approach improved with deep learning methodologies, designed to improve the efficiency of acoustic echo cancellation. The proposed system can really manage both linear and nonlinear echo scenarios, dynamically adapting to fluctuating acoustic environments. The above comparative evaluations with standard filter, the standard RLS filter, indicate that the mean square error, and the standard deviation of the correlation …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 9–24 Read article
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History and Applications of Kalman Filter: A Review
Abstract: The Kalman filter is a powerful algorithm that is used to estimate the dynamic system states with noisy measurements and uncertain behaviors. It is an optimal estimator that minimizes the average squared error between the estimated states and the true states, given the noisy data and a model of the system. The recursive algorithm is highly effective in tracking and predicting the state of complex systems over time. Kalman filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 14–23 Read article
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Optimization of FDM 3D Printer Process Parameters For PETG Material Using TOPSIS Technique
Abstract: 3D printing is a quickly evolving process that builds the desired shape by layering on material. In the era of modern production, additive manufacturing has grown in significance due to its user-friendliness. By using this technique, one can produce complex & intricate geometries with much ease when compared to conventional manufacturing. With the increased demand for 3D printing, consideration towards strength quality and other mechanical properties is also increasing progressively. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 601–609 Read article
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Performance Analysis of Heat Pump and Air Conditioning System Using R-32 Refrigerant & Theoretical Comparison With R-290 Refrigerant
Abstract: An extensive performance analysis of a heat pump air conditioning system for both cooling and heating applications is included in this research. The purpose of the research is to assess the system's overall performance, energy consumption, and efficiency under various operating scenarios. The research incorporates a range of experimental techniques. An overview of the heat pump air conditioning system's parts and operation is given at the outset of the examination. …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 14–21 Read article
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A Review on Effects of Waste Tire Rubber Polymer on Fresh, Mechanical, and Impact Resistance Properties of Rubberized Concrete
Abstract: According to the collective findings of numerous researchers, waste tire rubber has proven to be a valuable addition to concrete, contributing to advancements in construction. Rubber crumb is artificial rubber polymers, such as butadiene rubber (BR). The chemical composition of tire rubber crumb that is discarded can be represented by the combination of (C5H8)n, (C8H8)x-(C4H6)y, (C4H6)n, C, S8, ZnO, and complicated hydrocarbons. Various studies have explored the mechanical and impact …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 469–478 Read article
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Quantification of Snow/Glacier Melt Impacts of Historical and Future Climate Change on Eastern Himalayan River
Abstract: Millions of the population on Eastern Himalayan Rivers (EHR) totally depend on, domestic use, agriculture, and hydropower. Several studies found that climate warming threatens this EHR's hydrological regime. In order to understand the hydrologic response of their headwaters and how climate change affects streamflow, a hydrological modeling study is conducted in the Teesta River Basin (TRB) in EHR using an open-source Quantum Geographical Information System (QGIS) with semi-distributed QSWAT1.5 (Soil …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 508–524 Read article
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Verilog-Based Image Processing on Field Programmable Gate Arrays: Design and Implementation
Abstract: Integrated circuits known as Field Programmable Gate Arrays (FPGAs) are frequently offered for sale off the shelf. They are known as "field programmable" because, following manufacture, they enable users to modify the hardware to satisfy particular use case needs. This makes it possible to update features and correct bugs in-place, which is very helpful for remote deployments. Configurable logic blocks (CLBs) and a series of programmable interconnects are features of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 13–26 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Real-time Mask Detector (Monitoring COVID-19)
Abstract: This study presents the development and implementation of a real-time mask detection system designed to monitor and enforce mask-wearing policies during the COVID-19 pandemic. Utilizing a convolutional neural network (CNN) and a dataset consisting of annotated images, our system can accurately detect the presence or absence of masks on individuals in various environments. The proposed system achieves high accuracy and can be deployed in public spaces to help mitigate the …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 42–49 Read article
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Ayurvedic Education System in Accordance with National Education Policy (NEP20)
Abstract: Our past education system was modelled on the needs of industrialization. Although university system was present from ancient to medieval era in form of Takshila and Nalanda, but industrialization changed the whole scenario globally and India also got affected by this in terms of education level, as the British education system was forced. As the era passes, the type of education in Ayurveda goes through many diverse and extreme changes. …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 13, Issue 3, 2024 · pp. 54–57 Read article
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Develop a Data Science Approach for Optimizing Energy Consumption
Abstract: Optimizing energy consumption has become a critical challenge in the era of sustainability and increasing energy demand. Efficient energy management is essential to address environmental concerns, reduce costs, and ensure resource availability for future generations. This project leverages data science techniques to evaluate and improve energy consumption across diverse sectors, including residential, industrial, and commercial domains. By integrating advanced analytics, machine learning models, and real-time data processing, the project aims …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 31–44 Read article
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Enhancing Efficiency and Adaptability of Double Pipe Heat Exchangers: Design and Implementation Perspectives
Abstract: The present study focuses on exploring the intricacies of twin pipe heat exchangers, highlighting their versatility and efficiency in various industrial applications. Twin pipe heat exchangers consist of concentric pipes through which fluids flow in opposite directions, enabling effective heat transfer across significant temperature gradients. This design is particularly advantageous in scenarios involving low flow rates or highly viscous fluids, as well as moderate heat loads. One of the key …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 1, 2025 · pp. 63–70 Read article
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Comparative Analysis of MCNN and RCNN for Speech Emotion Recognition Using Gender Information
Abstract: Speech emotion recognition is a speech processing task and a computer-based approach designed to identify and classify the emotions conveyed in audio signals. The aim of this system is to evaluate a speaker's emotional state, such as happiness, anger, sadness, or frustration, by analyzing their speech patterns, which include prosodic features like pitch, frequency, and rhythm. Speech emotion recognition is used in various real-life scenarios that include Customer Service, Healthcare, …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 1, 2025 · pp. 1–10 Read article
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Simulation and Experimental Analysis of Abuse Testing for Prediction of Life Cycle for Lithium Ion Battery Cell and Pack Level
Abstract: Lithium-ion batteries play a crucial role in contemporary technology, serving as the power source for everything from consumer gadgets to electric vehicles. However, their safety and longevity are significant influenced by the reperformance under extreme conditions, commonly referred to as ab use testing .This paper explores the simulation and analysis of ab use testing and life cycle prediction for lithium-ion batteries at both the cell and pack levels. Abuse testing …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 2, 2024 · pp. 1–24 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article
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Big Data Application in Manufacturing and Supply Chain Management: A Comprehensive Review
Abstract: This review paper synthesizes findings from ten recent studies on the application of big data analytics in manufacturing, supply chain management, and related fields. The papers examined cover a range of topics including sustainable manufacturing, green supply chain management, predictive maintenance, and semiconductor manufacturing. This review aims to provide a comprehensive overview of the current state of research in these areas, highlighting key trends, methodologies, and opportunities for future work. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 8–17 Read article
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New Employee Onboarding Process
Abstract: Set up Excel spreadsheet: Create an Excel spreadsheet template with necessary columns to store employee details such as name, position, department, contact information, etc. The existing employee onboarding portal project in ‘Automation Anywhere’ streamlines the onboarding process using automation. It utilizes Automation Anywhere capabilities to automate tasks such as gathering employee information, creating user accounts, generating documents, and reporting. The system uses an Excel spreadsheet to manage and store employee …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 16–24 Read article
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Impact of Polypropylene Fibres on the Properties of Concrete
Abstract: This review paper explores the effects of polypropylene fibres on the mechanical and structural properties of concrete. The integration of short, discontinuous fibres into plain concrete enhances its post-cracking behavior and overall performance, with notable improvements in tensile strength, fracture strength, toughness, impact resistance, and flexural strength. These fibres effectively control crack propagation, increase energy absorption, and improve durability under varying loading conditions. A comprehensive analysis of prior research highlights …
Published in Journal of Construction Engineering, Technology & Management · Vol. 14, Issue 3, 2024 · pp. 55–60 Read article
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Cloud-based Application Development and Optimization
Abstract: As cloud computing powers today’s applications, optimizing cloud-based development is crucial to achieve performance, cost effectiveness, and scalability. This research focuses on enhancing the design, deployment, and maintenance of cloud applications, tackling challenges in resource management, scalability, and resilience. We specifically explore dynamic resource allocation algorithms that use predictive analytics for auto-scaling based on workload variations, aiming to cut costs while preserving high performance. The study also investigates cross-cloud optimization …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article