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91 articles for “working-memory”
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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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A Review on Experimental Evaluation of Magneto-Rheological Brake
Abstract: Magneto-rheological fluids have earned widespread attention as smart materials due to their memory properties. MRF comprises three chief components including, soft magnetic particles, carrier liquids, and additives. Hence, these materials have attested to be applicable in automotive devices. The devices like MR damper and MR brakes have been developed by the virtue of these fluids. Hence, such devices need proper evaluation in terms of their claims. This review details the …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 2, 2015 · pp. 5–12 Read article
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Knowledge among School Teachers on Well-balanced Diet in High School Children at Selected Schools in Bangalore, Karnataka
Abstract: Nutrition is a complex problem influenced by many factors, among other inadequacies of dietary intake and infection. To overcome the problem, in early 1950’s, a slogan named for 4-healthy-5-perfect was introduced to guide people to consumed foods to achieve a better nutritional and health status. As the slogan was considered not providing enough information on the quantity and the balance in relation to health and biological condition, a new guideline …
Published in Journal of Nursing Science & Practice · Vol. 4, Issue 3, 2014 · pp. 61–65 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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An Overview of Intelligent Operating Systems (iOS)
Abstract: The rapid convergence of artificial-intelligence techniques with core operating system services is ushering in a new class of platforms—intelligent operating systems (iOS)—that can anticipate, adapt, and optimize on behalf of both applications and users. This paper surveys the architectural shifts required to embed learning, reasoning, and self-healing capabilities into the kernel, scheduler, memory manager, and I/O subsystems. We present a prototype framework, NeuroKernel, that augments traditional OS primitives with three …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 · pp. 21–28 Read article
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A Review of AI-Based Intrusion Detection Systems for Mobile Ad Hoc Networks (MANETs)
Abstract: Mobile Ad Hoc Networks (MANETs) comprise wireless networks that lack any conventional infrastructure . Their chief features include highly changing network topologies, lack of centralized administration, and open nature of communication, which collectively result in making MANETs of the wireless kind very susceptible to a diverse range of cyber-attacks like blackhole, greyhole, wormhole, flooding, Sybil and denial-of-service (DoS) among others. Conventionally, Intrusion Detection Systems (IDS) relying on static rule-based methods …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Perturbed Quantum Computation of the Non-linear Dynamical System in Terms of Bose-Mesner Algebra Using N-Coupled Maps
Abstract: AbstractThe author has considered the non-linear dynamical system comprising of brain, heart, kidney, physiological processes, thinking mechanism and immune system. The components of the dynamical system are interconnected with each other. In the present work he has discussed the perturbation in the non-linear dynamical system due to intense BIS processes. The BIS processes occurring in the surroundings constantly affect our neural network bringing about sudden changes in nervous system. The …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 27–42 Read article
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Vehicle Number Plate Detector
Abstract: In real word, traffic is so high unable to control and check all the vehicles passing by through highways and roads. Every country's traffic management and car owner identification has become a key issue. It might be tough to spot drivers who break traffic laws and drive too fast at times. As a result, it is impossible to apprehend and penalise such individuals because traffic officers may be unable to …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 24–31 Read article
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A review on Pole mounted GSM based circuit breaker
Abstract: At this modern age of technology-heavy machines working on live electric lines are more in numbers then compared to past few years. The fast development of electrical industries developed standards and established safety procedures to minimize various types of major hazards that may lead to severe injuries and death of the operators. However, if the scenario of the lines needs to be repaired that’s where the job will be endangered …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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Designing and Modeling of Giant Magnetoresistance (GMR) Materials based Devices in Electrical Power and Biomedical Systems
Abstract: This paper presents Designing and Modeling of Giant Magnetoresistance (GMR) Devices in Electrical Power and Biomedical Systems and the related materials. The GMR, inverse GMR, and Spin valve using exchange bias have been analytically derived and discussed from the designing point of view for optimizing the performance of the GMR based Devices in Electrical systems. More recently, GMR has been used in sensors, magnetic memory chips, and hard-disk read-heads. The …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 22–32 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Digital Twin Assisted Intelligent Prediction of Polymer Composite Degradation Under Environmental Exposure
Abstract: Polymer matrix composites (PMCs) deployed in aerospace, marine, automotive, and renewable-energy structures are continuously subjected to coupled environmental stressors — ultraviolet (UV) radiation, moisture ingress, thermal cycling, and mechanical loading — that progressively degrade their mechanical performance. Conventional accelerated ageing tests and empirical lifetime models are time-consuming, destructive, and poorly suited to in-service, asset-specific degradation forecasting. This paper proposes a Digital Twin (DT) assisted intelligent prediction framework that fuses a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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A Review of Home Automation Technology Installation with the help of Raspberry Pi and Internet of Things
Abstract: AbstractHome Automation is creating a system of electronic devices that are able to work together to create a system that gives someone total control over all the electronic devices in their house from anywhere. IOT (Internet of Things) is a network of devices that are connected to the internet are able to hold and accept information with each other. The IOT consists of multiple devices, interfacing with a microcontroller to …
Published in Journal of Microwave Engineering and Technologies · Vol. 7, Issue 2, 2020 · pp. 16–20 Read article
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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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Research on Smart Materials for Automotive Applications
Abstract: Smart materials are nowadays being used in all spheres of human life and technology. A lot of research is going on to utilize their potential in various engineering applications which may prove useful for common people. A wide variety of smart materials exist, which includes piezoelectric materials, magneto rheological materials (MR), electro rheological materials (ER), shape memory alloys, etc. In both ER and MR fluids, the change in fluid properties …
Published in Journal of Automobile Engineering and Applications · Vol. 1, Issue 1, 2014 · pp. 6–10 Read article
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Samelisant, an H3 Receptor Agonist as an Anti-Alzheimer Potential – A Pilot Study on Molecular Docking
Abstract: Neurodegenerative diseases have become more prevalent and about 55 million of the population are affected by dementia globally. One of the most important neurodegenerative diseases is Alzheimer’s disease which is known for its effect on memory and cognitive impairment. Alzheimer’s disease (AD) is an area of intense scientific investigation due to its high prevalence and the lack of a definitive cure. Amyloid precursor protein plays a central role in Alzheimer’s …
Published in International Journal of Brain Sciences · Vol. 3, Issue 1, 2026 · pp. 15–26 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Cluster Based Sleep Transistor Approach for Low Power 6T SRAM Cell
Abstract: The demand of high density VLSI circuits has been increasing as the size of ICs is becoming small day by day. It has been seen that, to reduce active power dissipation in memory, the supply voltage reduction is necessary. Lowering the supply voltage is one of the most straightforward and effective ways to suppress the energy consumption because reducing the supply voltage could reduce the dynamic power and leakage power …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 41–48 Read article