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52 articles for “Parallel Processing”
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Optimizing DevOps Pipelines with Maven: Advanced Build Automation Techniques
Abstract: As modern software development continues to evolve, DevOps has become a fundamental methodology for integrating development and operations teams to enhance collaboration, reduce software delivery time, and improve overall product quality. Automating builds is a crucial aspect of any DevOps pipeline, as it helps maintain consistency and dependability throughout the different phases of the development process. Maven, a robust build automation tool commonly used in Java projects, is instrumental in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 · pp. 06–11 Read article
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Punjab’s Wetlands as Inland Analogues of Marine Ecosystems: Status, Stressors and CommunityLed Conservation.
Abstract: Aquatic and wetland ecosystems in Punjab, India, represent ecologically significant yet increasingly degraded socioecological systems embedded within an intensively managed agrarian landscape. Despite their recognised importance, existing studies largely treat these systems using conventional freshwater ecological frameworks, with limited integration of microbiologically mediated processes and broader ecosystem theories. A key research gap, therefore, lies in the lack of interdisciplinary approaches that can holistically interpret wetland structure, function, and governance across …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 31–51 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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The Significance and Applications of Parallel Computing in the Modern Era
Abstract: This article explores the advancements in parallel computing, focusing on its applications in various domains such as scientific simulations, big data analytics, artificial intelligence, and real-time processing. We discuss the architectural shifts from traditional single-core processors to multi-core and many-core systems, along with the role of graphics processing unit (GPU)-based computing and specialized hardware like tensor processing units (TPUs) and field programmable gate arrays (FPGAs). Furthermore, the article examines contemporary …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 24–38 Read article
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Study and analysis of the Double Data Rate SDRAM Controller for High-speed Interfacing with Processing Device
Abstract: A real-time embedded system must now manage many programs running concurrently. Increased Data Rate Because of its burst access, speed, and pipeline features, synchronous DRAM is a typical memory-building material. DDR transfers are performed using synchronous dynamic access memory. The memory controller must be set with a pipelined design for various applications and systems to perform effectively. The purpose of this study is to design a DRAM controller that will …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 8–13 Read article
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Enhancing Surface Roughness of Polylactic Acid (PLA) 3D-Printed Parts Using CO₂ Laser Scanning: An Experimental Study on Parameter Optimization
Abstract: Fused deposition modeling (FDM) of polylactic acid (PLA) often suffers from poor surface finish due to the inherent layer-by-layer deposition process, limiting its use in high-precision applications. This study investigates CO₂ laser scanning as an efficient post-processing technique to reduce the surface roughness (Ra) of PLA parts while maintaining structural integrity. Specimens (100 × 80 × 5 mm) were fabricated with varying infill densities (35%, 70%, and 100%) to assess …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 503–511 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Revolutionizing Wireless Communication: AI & ; ML in the Era of 6G
Abstract: With rapid technological advancement, sophisticated techniques are significantly enhancing the performance of wireless networks. In parallel, the growth of artificial intelligence (AI) has empowered systems to perform intelligent decision-making, automate processes, analyze data, generate insights, and predict future outcomes. AI systems are now capable of learning and adapting to dynamic environments. Particularly, machine learning and deep learning techniques have achieved remarkable success across a wide range of applications in recent …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 29–36 Read article
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Vedic Chemical Insights as Precursors to Modern Green and Sustainable Chemistry: An SDGAligned Perspective
Abstract: This paper explores the chemical insights found in ancient Vedic texts and their relevance to contemporary green and sustainable chemistry. It examines the alchemical traditions described in Vedic literature, such as Rasaśāstra, which integrate material and spiritual aspects of transformation. The study investigates how ancient chemical processes align with modern principles of green chemistry, including waste reduction, use of renewable resources, and energy efficiency. By analyzing the parallels between Vedic …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 36–48 Read article
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Design & Implementation of 16-BIT MAC Unit Using Vedic Mathematics
Abstract: Multiply and Accumulate (MAC) units are essential parts of digital systems, particularly in embedded systems, digital signal processing (DSP), and image processing. The performance of these systems is significantly impacted by how well the multiplication process works. The design and construction of a fast 16-bit MAC unit utilizing Vedic mathematics are presented in this study.The proposed design utilizes the Urdhva Tiryagbhyam sutra to perform multiplication in a parallel manner, reducing …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 52–58 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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Hardware Synchronization for Embedded Multi-core Processors
Abstract: The focus is not on whether multi-core systems are becoming prevalent, but on how microcontroller architectures should be designed to comply with stringent field requirements. This paper illustrates the transition from single to multiple cores, ensuring coherence and consistency in shared memory through hardware mechanisms. Hardware barriers are implemented to allow for point-to-point synchronization between processor cores. Practical experiments center on the initial stages of transforming single-core systems into dual-core …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 33–42 Read article
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A Review of Locking Protocols for Concurrency Control in Parallel Databases
Abstract: In modern database systems, many transactions may run at the same time. When several users try to access the same data or update the data simultaneously, then it creates a problem such as inconsistency data, lost updates or misinformation and may lead to conflicts between the transactions and deadlocks. To avoid these types of issues and maintain the correctness of the database, concurrency control protocols are mainly used. This paper …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
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Water reservoir engineering and management
Abstract: This work aims to develop a practical system to store water in times of abundance and reuse it in times of scarcity. The proposed system uses natural caves, caverns, or empty underground spaces from mining or oil or gas extraction to store water. The geological structure of the water reservoir should be a non-porous substrate to avoid leakage. Water collection comes from dam discharge during thaw times or river flooding, …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 1, 2024 · pp. 1–12 Read article
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Design and Analysis of Automated Fire Detection and Suppressing System Using CNN
Abstract: Maintaining and keeping an eye on the safety of all kinds of locations and circumstances requires an alarm system that detects fire. Although the usability of many existing fire-alarm systems is widely recognized, manufacturing them may be costly. As an end result, it is miles out of reach for low-profits customers. The number one intention of this study is to create a low-fee fire control machine. The detection system, the …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 2, 2024 · pp. 8–20 Read article
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Review on to Design High Speed and Area Three Oprend Binary Adder Using MDCLCG Architecture
Abstract: The three operands binary adder is a basic function used in the creation of modular arithmetic in various algorithms, such as the pseudorandom bit generator and cryptography. The CS3A carry save adder is commonly used to perform this operation. Nevertheless, the operation's outcome delayed the transmission of O(n) because of the ripple carry step. A dual-optoic adder for parallel prefix computation, such as the Han-Carlson method, can be used to …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 14–22 Read article
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Smart Fast Charging System with Active Cell Balancing for 4S1P Battery Packs and Smart Charger for EVs
Abstract: In the realm of electric vehicles (EVs), efficient charging solutions play a pivotal role in enhancing user experience and advancing sustainability. This project introduces three innovative concepts aimed at revolutionizing EV charging infrastructure: Parallel Charging, Smart Charger, and Active Cell Balancing. Parallel Charging introduces a groundbreaking approach to charging by efficiently delivering power to multiple batteries simultaneously. By doing so, it significantly reduces overall charging time, thereby enhancing convenience for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 Read article
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Control System Operational Protocol for Dual DC Electric Motor Configuration in Electric Vehicles
Abstract: This paper is focused on the analysis of the performance of DC electric motor for electric vehicles (EV) in urban and intercity routes. The paper analyzes the different driving conditions in both types of routes reproducing the most current situations and how they influence the electric motor performance. The study is focused on a dual electric motor configuration, series and parallel, which equips an electric vehicle prototype, evaluating the power …
Published in Journal of Mechatronics and Automation Read article
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Effect of Thermal Conditions on Microstructure and Mechanical Properties of AA5083 Processed by Equal Channel Angular Pressing
Abstract: A commercial AA5083 with an initial grain size of 210 μm was given an ultrafine-grained structure using the equal channel angular pressing (ECAP) technique under die design as patented. The identical sample underwent two successful passes through the die at 473 K, with each passage causing the sample to rotate 90° along its own longitudinal axis. After just one pressing, the microstructure was comparatively homogeneous. It was made up of …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 49–64 Read article