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419 articles for “Dynamics”
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Optimizing Work Scheduling In Shop Floor Using Ant-Colony Algorithm
Abstract: A job shop manufacturing system is specifically designed to simultaneously produce different types of products in a shop floor. Job shop scheduling problems (JSSPs) have been studied extensively and most instances of JSSP are NP-hard, which implies that there is no polynomial time algorithm to solve them. As a result, many approximation methods have been explored to find near-optimal solutions within reasonable computational efforts. Furthermore, in a real world, JSSP …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 1, 2016 · pp. 19–28 Read article
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A Review on Performance Analysis of CMOS Inverter
Abstract: In this paper, first we study the various inverter circuits and analyze its performance in terms of noise margin, area, power dissipation and computational delay. After that analyze the various parameter of CMOS Inverter circuit using Pyxis schematic tools of Mentor graphics with TSMC 018 CMOS process technology. Based on this simulation, analyze the rise time, fall time and dynamic power dissipation of CMOS inverter. Finally, we got the good …
Published in International Journal of Computer Aided Manufacturing · Vol. 5, Issue 1, 2019 · pp. 29–35 Read article
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Boundary Layer Separation with Steady and Unsteady Flow of Fluid and Slip and No-Slip Boundary Conditions: A Review
Abstract: Fluid mechanics is that branch of science which deals with the study of the static, kinematics and dynamic aspects of fluids (liquids or gases). By fluid statics, we mean the study of fluid at rest, by fluid kinematics we mean the study of fluids in motion when the pressure forces are not considered, and by fluid dynamics we mean the study of fluids in motion when the pressure forces are …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 1, 2020 · pp. 14–21 Read article
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Experimental Investigation of FSW on Al 6061-T6 MG Dissimilar Joints
Abstract: Friction Stir Welding (FSW) is a solid-state joining technique that has shown significant potential for welding dissimilar materials, such as aluminum and magnesium alloys, which are difficult to join using conventional fusion welding methods due to large differences in their physical, thermal, and metallurgical properties. During FSW, contact between the rotating, wear-resistant tool shoulder, the pin, and the work piece produces frictional energy. Additional thermal energy develops because of intense …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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E.M.E.R.G.E. (Empowering Mixed-Use Ecosystem Realms for Revenue, Growth, & Expression).
Abstract: Contemporary urban life is increasingly fragmented, with learning, working, socializing, & leisure dispersed across disconnected parts of the city. This disconnection leads to long commutes, enhances dependence on mobility, increases daily stress, and weakens public life & community interaction. Rigid zoning laws & mono-functional building typologies fail to respond to the hybrid, layered, & dynamic patterns of everyday urban life, particularly within the context of emerging digital economies and evolving …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 2, 2026 Read article
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Preservation to Continuity:Reconsidering Heritage Management Paradigms
Abstract: Conventional heritage management frameworks largely treat heritage as a finite collection of monuments and protected sites, prioritizing material conservation over cultural continuity. In rapidly transforming socio-urban contexts, such approaches often fail to address the dynamic relationships between heritage, lived cultural practices, and collective memory. The primary objective of this study is to develop a holistic heritage management framework that integrates tangible and intangible heritage through participatory governance and adaptive policy …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, 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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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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Electric Vehicle Integration to Stabilize the Grid by Improving Power Quality
Abstract: This paper presents power quality improvement in terms of voltage and frequency regulation for electric vehicles connected to the grid, with a focus on Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) action. Efficient management of power flow is required to regulate voltage and ensure reliability, which helps to enhance grid stability. The main aim is to optimize the power flow in both directions to improve grid stability and reduce losses. Here, a …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Advances in Genetic Enhancement, Processing Innovation and Sustainable Valorization of Jute (Corchorus spp.): A Critical Review
Abstract: The accelerating global shift toward environmentally responsible material systems has intensified scientific and industrial interest in lignocellulosic bast fibres. Jute (Corchorus spp.) remains one of the most economically and ecologically significant natural fibres due to its renewability, biodegradability, and substantial contribution to rural livelihoods. This review critically synthesizes contemporary progress in genetic improvement, fibre structural optimization, retting biotechnology, surface engineering, and composite integration. Emphasis is placed on genomics-assisted breeding, targeted …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 · pp. 10–18 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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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 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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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 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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CAM Software Selection in Tamil Nadu Manufacturing SMEs using ELECTRE III and Decision Resonance Methods
Abstract: This paper contributes a conceptual framework to guide the strategic alignment of software selection criteria using a new method - Decision Resonance Method and an established method - ELECTRE III within the existing decision theory frameworks. The analysis contributes empirically tested software selection criteria that will improve the categorization of decision implications This study provides input for decision theory extensions related to information, the value of problem structuring, and its …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 40–49 Read article
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Generative Lightweighting of Actuator-Integrated Robotic Structures Under Decentralized Additive Manufacturing Constraints
Abstract: This study presents the implementation and structural validation of a constraint-driven generative design methodology for the development of lightweight actuator-integrated robotic components fabricated using decentralized additive manufacturing. Building upon a previously formalized constraint-driven framework, the method was applied to the synthesis of a modular robotic link representative of actuator-integrated structural elements commonly used in legged robotic systems. The baseline component was defined to preserve critical functional interfaces, including actuator mounting …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 44–60 Read article