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169 articles for “parallel computing”
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Electromagnetic Transients in Compensated Power Lines- Revisited: New Approach and Case Studies
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. The resulting currents …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 19–26 Read article
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The Electromagnetic Transients in Compensated High Voltage Power Lines
Abstract: This paper addresses the simulation of the transients developed in high voltage lines, which are initiated by lightning discharges. The analysis allows for compensated and uncompensated lines. Both the individual and simultaneous series inductive and shunt capacitive compensation types can be dealt with. The sizes and locations of the compensating elements are included in the analysis. Numerous studies on the transient concentrated stresses across these elements and the related protection …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Low-Power Design of Content Addressable Memory using Master Slave Match Line Architecture
Abstract: Content Addressable Memory (CAM) is a storage unit used for faster accessing of lookup table that reduces processing time for search operation. It is mainly used very-high-speed searching applications like computer networking devices. The MAC address table is implemented with a CAM so that the destination port can be easily detected by reducing the switch’s latency. CAM gets its high speed of operation by parallel search mechanism. This paper proposes …
Published in Journal of VLSI Design Tools and Technology · Vol. 7, Issue 1, 2017 · pp. 29–34 Read article
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Novel Laplace-domain Approach to the Electromagnetic Transients in Compensated High Voltage Power Lines
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. Applying the relations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 15–21 Read article
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Big Data: A Survey Paper on MapReduce Big Data
Abstract: AbstractHadoop MapReduce is processed for analysis large volume of data through multiple nodes in parallel. However, MapReduce has two function Map and Reduce, large data is stored through HDFS. Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over This survey intends to assist the …
Published in Journal of Open Source Developments · Vol. 7, Issue 3, 2020 · pp. 18–27 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Cloud: Storage Technique
Abstract: There has been a massive deal of development in the field of cloud computing. Amount of data to be stored is increasing exponentially, which has led to the development of different storage techniques to provide greater efficiency like PDDS, SETiNS, Deduplication, Parallel de-fragmentation. This paper explains about these different techniques in detail.
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 6–16 Read article
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Design of Core Based System-On-Chip Using Interfaced Cores and Routers in Network-On-Chip
Abstract: AbstractNetwork-On-Chip (NOC) architectures consist of heterogeneous cores connected through an interconnection network. The communication between the nodes is achieved by routing packets rather than wires. NOC has emerged as a new paradigm for designing core based System-on-Chip (SOC). Network-on-Chip is seen as a scalable solution facilitating the development of system-on-chip with an increasing number of IP cores. The idea of using on chip packet switched networks for interconnecting a large …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 4, Issue 3, 2017 · pp. 17–24 Read article
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Direct Determination of the Frequency-Dependent Transmission Constants of Non-Uniform Two-Port Networks
Abstract: Due to space constraints and the expansion of electricity networks, transmission lines that cross close to one another are now commonplace. Power networks also commonly install higher operational voltage lines that share transmission corridors with lower voltage lines. Overhead transmission lines are the primary method for transmitting electrical energy across vast distances. This paper presents an efficient and direct technique for identifying the four frequency-dependent ABCD transmission constants of arbitrary …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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The Transient Response and Frequency Characteristics of Power Transformers having Non-uniform Winding Insulation
Abstract: This paper presents a Laplace-domain distributed-parameter technique for analyzing the transient and frequency response of power transformers having non-uniform winding insulation. Stronger winding insulation near the windings source side terminals is usually applied in order to mitigate the concentration of the transient voltage stresses close to these locations. This will result in a location-dependent inter-turn capacitance distribution. The suggested procedure for analyzing such windings is based on the cascade connection …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 1, 2014 · pp. 37–52 Read article
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Performance Analysis of Fe/SiO2/Fe MTJ and Ni/Al2O3/Ni MTJ-based Magnetoresistive Random Access Memories (MRAMs)
Abstract: This paper reports the first principle simulations of Fe/SiO2/Fe and Ni/Al2O3/Ni magnetic tunnel junctions (MTJs). A performance analysis has been done based upon the device-level simulations of the two magnetic tunnel junctions followed by the circuit level simulations of magnetoresistive random access memory (MRAM) cell operating with the two MTJs respectively. From the device-level simulations, the two MTJs have been compared with regard to the bias dependence of TMR ratios, …
Published in Journal of VLSI Design Tools and Technology · Vol. 2, Issue 1-2-3, 2012 · pp. 92–100 Read article
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Scientific Computing with the KotlinSci Open-source Framework
Abstract: KotlinSci is a framework for scientific computing for the Java Virtual Machine (JVM). The paper illustrates that KotlinSci can significantly facilitate and simplify the development of complex computational demanded scientific software at the JVM. The work compares Java based approaches with Kotlin ones, and illustrates the significant advantages of the enhanced flexibility of the Kotlin language. We illustrate that one of the more significant drawbacks of Java is its lack …
Published in Journal of Open Source Developments · Vol. 9, Issue 2, 2022 · pp. 1–7 Read article
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Real-Time Composition: Its Applications and Educational Potential
Abstract: In this paper, the notion of Real-Time Composition (RTC) is discussed as a practice that has emerged and being consolidated with the increasing use of computationally controllable real-time generative music algorithms. RTC was developed through the use of interactive music systems and is nowadays more or less ubiquitous. The principle of RTC can be also be employed in a performance involving just humans, and parallels between RTC and musical practices …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 33–40 Read article
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Trends in Computer Programming and Language
Abstract: The field of computer programming has undergone significant transformations driven by evolving technologies, increasing demand for more efficient software solutions, and the continuous need for enhanced system performance. This paper examines the latest trends in programming languages and methodologies that are influencing the future of software development. Key trends include the rise of functional programming paradigms, the growing importance of concurrent and parallel programming to handle multi-core processors, and the …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
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Parallelization of Metaheuristics for the Optimization of Travelling Salesman Problem
Abstract: Travelling salesman problem is a combinatorial NP-Hard Problem. It has vast number of applications in many other fields like engineering, transportation and logistics. In the area of combinatorial Optimization Problems, it is one of the most studied problem. This Problem is acting as benchmark for many other NP-Hard Problems. Even for 20 cities CPU’s takes 100’s of years to get the optimal solution. So, for computing NP-Hard problems we require …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 20–26 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article
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Hardware Design using Flexible Hk-Means
Abstract: High performance hardware is required to meet the necessities of consumer electronics. Color quantization and image partition are an inevitable part for different applications, and HKMeans is the main algorithm that is used for color quantization and image partition owing to its low cost, less computational time and the hardware area required. The computational time and the hardware area increases as the quantization number increases. Hierarchical K-means or HK-Means is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 30–35 Read article