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41 articles for “Pipeline Architecture”
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Implementation and Analysis of 32-bit pipelined RISC Processor Architecture
Abstract: Pipelining is an implementation technique, in which parallel operations are performed for several instructions simultaneously, to save time, enhance speed and for better utilization of hardware units. In this paper, 32-bit, 5-stage RISC processor is used to tag the pipeline stages to obtain the optimized results. The architecture of the processor containing several elements reduces the debugs and upholds the high performance through critical functions. When compared to our closest …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 1, 2019 · pp. 1–14 Read article
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High Throughput LMS Adaptive Filter Architectures using Pipelining and Parallel Processing
Abstract: AbstractIn this paper, a study on existing designs of adaptive filter based on LMS algorithm is done. The primary aim is to reduce the critical path delay and thereby improve throughput. The excess use of multipliers or the lack of a time efficient one and longer cycle periods reduces the effectiveness of any adaptive filter implementation. Here, a simple and highly time efficient Vedic multiplier is used in the implementation …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 2, 2018 · pp. 11–19 Read article
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Design of 8 Bit High Speed Pipelined ADC
Abstract: High-speed, medium-resolution, analog-to-digital converters (ADCs) are important building blocks in many electronic applications. The demand for high-speed, medium resolution, low power ADCs is satisfied by various ADC architectures like folding, flsubranging, pipeline etc. Of these, pipeline architecture has proven to be the most efficient for applications such as digital communication systems, data acquisition systems and video systems. Pipelined ADC offer attractive combination of high-speed, high-accuracy and low power consumption, which …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 2, 2015 · pp. 71–80 Read article
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Machine Learning Pipelines: A Survey on Automation, Scalability, and Deployment Strategies
Abstract: Machine learning (ML) has become a critical enabler of intelligent applications across domains, requiring robust, efficient, and scalable deployment workflows. This review paper provides an in-depth overview of machine learning pipelines, emphasizing three key dimensions: automation, scalability, and deployment methodologies. It begins by exploring automation techniques that reduce manual effort in data ingestion, preprocessing, model selection, and hyperparameter tuning. Tools such as AutoML, TFX, and workflow orchestration platforms are examined …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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MAC Unit Implementation on FPGA
Abstract: Multiply–accumulate (MAC) computations account for a large part of machine learning accelerator operations. The pipelined structure is usually adopted to improve the performance by reducing the length of critical paths. An increase in the number of flip-flops due to pipelining, however, generally results in significant area and power increase. Using this method, we create and build a cutset-free feedforward MAC architecture that maximizes data propagation and removes superfluous pipeline registers. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 29–37 Read article
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AI-Powered Emotion Recognition in Dog
Abstract: Understanding animal emotions is important for improving veterinary care, human animal interaction, and overall pet well-being. Inspired by previous research that utilized a modified EfficientNetB5 model for emotion classification in cats and dogs, our study builds upon this foundation with a focus on real-time emotion recognition in dogs. While earlier approaches achieved high accuracy using Dense Residual and Squeeze-and-Excitation blocks, they often lacked real-time applicability and were not optimized for …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 · pp. 20–32 Read article
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Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality
Abstract: Ensuring real-time process compliance in resin-based polymer composite manufacturing remains a persistent challenge due to non-linear material behaviors, unpredictable curing dynamics, and fragmented sensor data pipelines. Traditional centralized monitoring architectures struggle to guarantee data integrity, auditability, and adaptive response under high-frequency environmental fluctuations. Most existing frameworks fall short in unifying trust, traceability, and time-critical decision-making particularly during critical cure-phase deviations due to limited integration of blockchain with intelligent sensor systems. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 126–145 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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Design of Booth Encoded Multi-Modulus {2n-1, 2n, 2n+1} RNS Multiplier
Abstract: Multiplication, a very important arithmetic operation, is finding a great use these days in various applications (especially DSP, multimedia and image processing). Due to advances in technology and increasing needs for high-speed calculations, it has become really necessary and important to design a fast efficient multiplier. A productive method to speed up the multiplication is reduction in the Partial Product (PP) array. In this paper, the design of 8, 16 …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 3, 2016 · pp. 7–14 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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Analysis of High Performance 6-Stage 64-Bit MIPS RISC Pipelined Processor Using FPGA VHDL
Abstract: The powerful 6-stage 64-bit MIPS RISC processor improves the speed and importance of the pipeline process. This is done for 64 steps, six steps in high detail, better for high speed and advanced technology. In a comparative study, our proposed architecture has reduced and increased power by 12% speed compared to our nearest counterpart. Simulation result Xilinx are done with proven the superiority of the platform and our model. Pipelining …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 14–19 Read article
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Advances in Shell Programming: Techniques, Tools, and Emerging Trends
Abstract: Shell programming has undergone a significant transformation, shifting from simple command-line interactions to a mature, versatile scripting environment that supports modern computing needs. Over time, shells such as Bash, Zsh, and PowerShell have expanded far beyond basic task execution, evolving into powerful tools capable of handling complex automation workflows, system configuration tasks, and cross-platform orchestration. These environments now offer improved error handling, stronger security features, integrated performance-monitoring options, and more …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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Low-Power Reconfigurable Digital Filter Design Using FPGA for IoT Edge Devices
Abstract: The rapid evolution of the Internet of Things (IoT) has led to an exponential increase in the deployment of edge devices that continuously process real-time sensor data under strict power, latency, and computational constraints. Digital filtering remains a critical operation in these devices, supporting tasks such as noise removal, data conditioning, and feature extraction for intelligent decision-making. However, conventional filter implementations on microcontrollers or fixed digital signal processors often struggle …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 23–34 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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RTL-to-GDSII Flow Optimization for Low-Power 32-bit RISC-V Processor
Abstract: This paper presents the implementation and optimization of a 32-bit RISC-V processor, transitioning from Register Transfer Level (RTL) design to final GDSII using Synopsys Fusion Compiler over 32nm technology node. The processor architecture is based on the RV32I base instruction set and incorporates a 5-stage pipeline to achieve a balanced trade-off between performance and design complexity. The design methodology involved RTL synthesis, gate-level netlist generation, and successive physical design stages …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 3, 2025 · pp. 1–10 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
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From Scripts to Systems: Advances and Architectures in Shell Programming
Abstract: Shell programming has grown far beyond simple command-line scripting to become an essential layer for orchestrating complicated systems and automating modern development pipelines. This article covers recent developments that are changing the function of the shell, including more expressive scripting, better error handling and debugging, and tighter integration with containerization and cloud-native systems. It shows how modern shells and accompanying tools are empowering developers to design scalable, maintainable, and portable …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 29–47 Read article
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A Study on Wireless Sensor Network Deployment and Lifetime Maximization of Wireless Sensor Nodes in Natural Gas Pipeline Monitoring System
Abstract: AbstractLeakage in Natural Gas Pipeline is a very common problem that may lead to economic losses, environmental hazards and pollution. Therefore, the maintenance and security monitoring of the natural gas pipeline has remained a big concern for many years. In the recent times, implementation of Wireless Sensor Networks (WSNs) has become very popular. This is due to the low cost and sustainability of WSNs. Since, the implementation of WSNs in …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 3, 2016 · pp. 7–16 Read article