Search
91 articles for “working-memory”
-
Real-Time System Monitoring and Resource Optimization Using Shell Scripts in UNIX/Linux Environments
Abstract: Real-time system monitoring is a fundamental aspect of system administration in UNIX/Linux environments, as it ensures optimal system performance, reliability, and continuous availability of services. In modern computing infrastructures, systems are expected to operate efficiently under varying workloads, and any degradation in performance, such as CPU overload, memory exhaustion, disk bottlenecks, or network congestion, can significantly impact user experience and system stability. Regular observation and prompt action are crucial for …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 1, 2026 · pp. 08–15 Read article
-
Real-time Emotion-aware AI Counseling System with Memory Retention Polymer Composites
Abstract: The availability of mental health services is still a major barrier, with many individuals constrained by financial limitations, social stigma, and a shortage of accessible counselors. This work introduces an emotion-aware AI counselor designed to provide empathetic and personalized emotional support via voice-based interfaces. The system leverages Natural Language Processing (NLP) and sentiment analysis to detect emotional cues from speech and generate contextually appropriate, comforting responses. A key innovation is …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1395–1407 Read article
-
A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 19–28 Read article
-
Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
-
Evaluation of Write Sequence Reordering Based Buffer Replacement Algorithms for Flash Memory Based Systems
Abstract: Many page replacement algorithms have been developed for disk-based systems. All of them consider the hit rate as a key performance measure. Flash memory has different characteristics than hard disks, such as asymmetric I/O latency among read, write, and erase operations. The read operation is faster than the write and erase operation, and it does not support in-place updates. Besides, write operations shorten the life of flash memories. Therefore, the …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 36–45 Read article
-
Traversal Speed Comparison of BFS and DFS in Balanced and Skewed Binary Trees
Abstract: In this paper, we provide an analysis of how well both breadth-first search (BFS) and depth-first search (DFS) algorithms perform while wandering through two kinds of binary trees: balanced and skewed. The research was motivated by the practical application of storing files and directories in a certain type of parent-child relationship through the use of hierarchical file systems (e.g., windows explorer). The result of measuring how fast and versatilely these …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 2, 2026 Read article
-
Learning Data Structures: Key to Good Programming
Abstract: Data structures are the most crucial feature of good programming and are needed to solve hard computational problems. This model makes use of two different recurrent neural network architectures, specifically long short-term memory (LSTM), and gated recurrent unit (GRU) networks. It explains how selecting and using the correct data structures may speed up computations, optimize memory, and scale code. How data structures and algorithms relate and how to think about …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 29–39 Read article
-
Characterization of a Single-Ended Schmitt-Trigger based 9T SRAM Cell
Abstract: Data stability is a prime concern in submicron regime. This work presents a single-ended Schmitt- trigger (ST) based 9T static random-access memory (SRAM) cell. Proposed design provides enhanced read stability as it uses ST based inverters. Low power dissipation is achieved by employing just a single bit line. Simulation is carried out on gpdk 180nm CMOS technology on Cadence. Proposed design offers 1.36x improvement in read static noise margin (RSNM) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 2, 2019 · pp. 26–31 Read article
-
Schmitt-Trigger Based 12T SRAM Cell with Enhanced Stability
Abstract: In this work, we present a single-ended Schmitt-trigger (ST) based 12T static random access memory (SRAM) cell. The proposed cell employs cross-point data aware write structure, and thus supports bit interleaving architecture to mitigate soft errors. The proposed cell does not suffer from read disturbance as bit line is completely isolated from bit storage node. Simulation is done on 180 nm CMOS technology on Cadence. Read static noise margin (RSNM) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 5–10 Read article
-
Carbon-Aware Autonomous AI Systems: Reinforcement Learning for Sustainable Cloud and Edge Computing
Abstract: The field of communication and information technology is expanding quickly. Because of this, a significant amount of carbon emissions are produced by cloud data centres and edge computing nodes. In fact they are now responsible for 3 to 4 percent of the worlds total greenhouse gas emissions. Most of the time people who manage these resources focus on how they are working and how quickly they can get things done.. …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 2, 2026 Read article
-
Power-Efficient Design Strategies for Static Random Access Memory with Memory Blocks: A Review
Abstract: For many years, CMOS technology has been able to achieve high integration density and great performance by scaling down its feature size and threshold voltage. Power consumption has been a major concern in VLSI design due to the ongoing drop in aspect ratio and the related improvements in chip density and operation frequency. SRAM is a type of random-access memory in which an interruption in power causes data loss. For …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 3, 2023 · pp. 23–32 Read article
-
Fuzzy Variable Frame Analysis for Speech Recognition
Abstract: AbstractRecent works in machine learning has focused on models such as support vector machine (SVM), artificial neural network (ANN) and long short-term memory (LSTM), for automatically controlling the generalization and parameterization of the optimization process. This paper presents a fuzzy interpretation frame analysis procedure using LSTM classifier for noisy speech at word level using thresholding and local maxima procedure at framing level for the recognition process. Front end MFCC procedure …
Published in Current Trends in Signal Processing · Vol. 9, Issue 3, 2019 · pp. 9–18 Read article
-
Application of Smart Material Technology: A Review
Abstract: These days, smart materials are employed in every aspect of technology and human life. Much work is being done to explore their potential in different engineering applications that could benefit the average person. Shape memory alloys, piezoelectric materials, magneto rheological materials (MR), and electro rheological materials (ER) are just a few examples of the many diverse kinds of smart materials. The electric supply can be adjusted to change the viscosity …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 34–39 Read article
-
The Impact of Quran Memorisation on Wellbeing: Lived Experiences of Bohra Huffaz
Abstract: The Quran, revealed over 1400 years ago, remains central to Muslims' daily lives, particularly through recitation during prayers. Quran memorisation (QM), known as Hifz, is a centuries-old tradition requiring intense cognitive engagement, discipline, and spiritual dedication. While many studies explore the psychological benefits of spiritual practices, few have examined the profound impact of full Quran memorisation on personal well-being. This study examines how Quran memorisation influences psychological well-being, particularly among …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 · pp. 1–13 Read article
-
Application of Smart Material Technology: A Review
Abstract: These days, smart materials are employed in every aspect of technology and human life. Much work is being done to explore their potential in different engineering applications that could benefit the average person. Shape memory alloys, piezoelectric materials, magneto rheological materials (MR), and electro rheological materials (ER) are just a few examples of the many diverse kinds of smart materials. The electric supply can be adjusted to change the viscosity …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 34–39 Read article
-
Neurotoxic Effects of Chronic Arsenic Exposure Among Leather Tannery Workers in Kanpur
Abstract: Chronic arsenic exposure is a known health risk, with potential neurotoxic effects. In industrial settings like leather tanneries, workers are particularly vulnerable due to prolonged exposure to chemicals, including arsenic. This study aims to investigate the neurotoxic effects of chronic arsenic exposure among leather tannery workers in Kanpur, focusing on symptoms of neurological damage and related health outcomes. To evaluate the prevalence of neurotoxic symptoms among leather tannery workers in …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 2, 2025 · pp. 39–46 Read article
-
Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a placescattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created anorganized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent ofpreparation of …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
-
AI-Driven Lightning Strike Prediction Using Polymer-Integrated Sensor Platforms for Climate-Resilient Energy Systems in India
Abstract: Lightning strikes are a major climate-related threat to India, resulting in severe human injuries as well as regular damages to the power transmission network and renewable energy infrastructure. This research aims to introduce the concept of an AI-based lightning strike prediction and mitigation system with the integration of polymers for making climate-resilient energy infrastructure. Multidata are collected based on satellite images, climate variables, as well as surface-based sensing modules, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 234–242 Read article
-
Towards Finding the Impact of Kinetic Information on Short Term Memory based Task
Abstract: The main objective of this report is to discover whether haptic data have an effect on the retention of a directive to choose a place scattered on a 2D plane. The necessity for a feasible workshop for the cell manufacturing line in plant assembly led to the idea. We created an organized viscuo-haptic training model that covered a grown-up arm’s workstation and used three different Ways to change the extent …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
-
AXI Bridge and DMA/Bridge Subsystem for PCIe
Abstract: We know that the present-day SOC design consists of many intellectual property cores with several communication protocols. To enhance the performance of the whole system, we need to improve the bridging and signal translation between these protocols. In this article, discussion has been carried out on PCIe and AXI protocol from AMBA. PCI Express, because of its various features like high speed, low power consumption, and good protocol efficiency can …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 1, 2018 · pp. 23–29 Read article