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53 articles for “Conventional machine”
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Analysis and Overhauling of Two Stage Reciprocating Air Compressor of a Conventional Locomotive-A Case Study
Abstract: Abstract- Reciprocating air compressor is the most widely used type of compressor found in many industrial applications and is a crucial machine in gas transmission pipelines, petrochemical plants, refineries, etc. Due to high pressure ratio requirements, reciprocating air compressor is commonly used in locomotives. After a period of life unexpected failures of internal components due to miscellaneous reasons occur, which affects the operating system performance. This paper presents a case …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 1, Issue 2, 2015 · pp. 39–53 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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Prediction of Adsorption Energies using Machine Learning
Abstract: In this article, we have a much more comprehensive method that promotes the exploration of automated descriptors. Primary component analysis (PCA) with varimax rotation is used to find the strongest minimum range of adsorption energies that can be used as metal descriptors for a given data set. Our findings demonstrate that the mixture of descriptors produced by this method outperforms conventional descriptors such as nuclear carbon, hydrogen and oxygen adsorption …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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Strength and Durability Characteristics of Stabilized Compressed Laterite Soil Bricks
Abstract: In this experimental investigation the required numbers of test bricks were moulded for the various percentage proportionate of laterite soil, such as, 91%, 90%, 89%, and 88%, stabilized with various percentage of cement stabilizer viz 4, 5, 6 and 7%, respectively, along with 5% addition of sand constantly; compacted with a hydraulic press paver block and brick making machine. Based on the obtained results laterite soil bricks can be used …
Published in International Journal of Construction Engineering and Planning · Vol. 4, Issue 1, 2018 · pp. 58–64 Read article
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Machine Learning Bouc-Wen Model for Nano- positioning System
Abstract: Most of the application in present world has taken ‘Nano’ as a part of their near future implementation. In Nano-Positioning System (NPS) the mechanical dynamics are handled at Nano scale. Designing a precisioned NPS is a greater challenge. To have a better hysteresis and better behaviour (Static/Dynamic) the Bouc-Wen model is modified by linearizing. In this work SISO (Sıngle-input Sıngle-Output) and MIMO (Multiple-Input Multiple-Output) models of NPS are designed. In …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 1, 2023 · pp. 14–25 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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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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Renewable Energy Technologies for Future and Sustainable Development
Abstract: People are relying upon oil for primary energy and this will continue for a few more decades. Other conventional sources may be more enduring but are not without serious disadvantages. The renewable energy resources are particularly suited for the provision of rural power supplies and a major advantage is that equipment such as flat plate solar driers, wind machines, etc., can be constructed using local resources. Without the advantage results …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 4, Issue 2, 2018 · pp. 11–29 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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AI-Based Noise Reduction Techniques for Digital and Analog Communication Systems
Abstract: Noise is one of the major challenges in modern communication systems because it significantly affects signal quality, transmission efficiency, and overall system reliability. Both digital and analog communication systems are influenced by different types of noise such as thermal noise, impulse noise, quantization noise, atmospheric noise, and channel interference. Conventional noise reduction techniques including filtering, adaptive equalization, and statistical signal processing have been extensively used to improve communication performance. However, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 40–48 Read article
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Analyzing Applications and Risks of IoT in Education: A Comprehensive Approach
Abstract: By promoting student involvement, increasing administrative effectiveness, and developing intelligent learning environments, the Internet of Things (IoT) is revolutionizing the education industry. Smart classrooms, interactive whiteboards, and real-time attendance systems are just a few examples of IoT-powered gadgets that are enhancing accessibility and customization in education. The potential impact that IOT can have on various industries is huge, including the education industry. IoT (internet of things) can be said as …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 20–28 Read article
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Real-Time Traffic Management System Utilizing Machine Learning Techniques
Abstract: AbstractThe rapid increase in the number of vehicles on roads has created significant challenges forconventional traffic management systems, which struggle to efficiently regulate traffic flow undervarying conditions. Traditional traffic signals operate on fixed timing cycles, failing to adapt tofluctuating vehicle densities across different lanes. This inefficiency results in unnecessary delays,increased congestion, longer travel times, and excessive fuel consumption. Additionally, fixed-timingsignals do not account for dynamic traffic patterns, leading to bottlenecks …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 24–31 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Genetic Algorithm approach for the Position Control of Permanent Magnetic Synchronous Machine
Abstract: Permanent Magnetic Synchronous Motors (PMSM or Brushless DC Motor) are widely being used for many industrial applications because of their high efficiency, high torque and low volume. Research has conducted using genetic algorithm to develop a complete model of the BLDC motor and to design an optimal controller for its position control. Generally PID controller is being used for control purposes in many systems because of its simple structure and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 30–39 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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Need of Modern Technologies in Agriculture
Abstract: The surge in population growth coupled with the diminishing availability of cultivable land has significantly heightened the strain on arable areas. While the provision of sustenance for the underprivileged remains a pressing issue, the focus has expanded beyond mere food provision to ensuring a nutritionally balanced diet. Consequently, there arises an urgent imperative to delve into contemporary methodologies aimed at not only feeding the burgeoning population but also preserving essential …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Replacement of Natural Fine Aggregate by Copper Slag
Abstract: This paper presents the applications of replacement of natural fine aggregate using copper slag. The study is conducted by replacing the fine aggregate from 0 to 100% at the interval of 20% on M25 grade concrete and 1.8% superplasticizer by weight of cement. The compressive strength, split tensile strength and flexural test is studied and reported. It is observed that replacement of natural fine aggregate at 40% (CS40) gives higher …
Published in International Journal of Concrete Technology · Vol. 5, Issue 2, 2019 · pp. 23–28 Read article
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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects
Abstract: Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 25–40 Read article
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Designing Brake Fluids for Modern Cars; Key Aspects
Abstract: The advancement of technology in almost all areas such as materials, electronics, communication, Information Technology, machines, electronics, instrumentation, control systems, etc. made it possible to have the modern cars of the type that were not possible decades ago. There exist materials today that are much lighter than the metals but at the same time stronger than metals. This helped in attaining higher speeds on the one hand and much superior …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 1–14 Read article