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253 articles for “data layer”
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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Performance Analysis of DWT Based OFDM System using SRRC Filter in Mobile Wimax over Fading Environment
Abstract: AbstractWavelets amid its capability to provide simultaneous information in both time and frequency domain, along with minimization of interference and improved bandwidth efficiency, is considered broadly as an efficient approach to replace fast Fourier transform (FFT) in the conventional orthogonal frequency division multiplexing (OFDM) systems. Efficient filter pulses are employed spectrally in such systems in order to mitigate the effect of inter-symbol interference (ISI) as well as satisfy the bandwidth …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 1, 2017 · pp. 1–10 Read article
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Stock Market Prediction with LSTM-based Neural Networks: An Empirical Analysis
Abstract: A stock market is a composite of markets and exchanges where the buying and selling of publicly traded company stocks occur on a regular basis. It serves as a marketplace for the stocks of corporations that are available to the public. Companies opt for an initial public offering (IPO) on the primary market as a means to generate capital. People buy stocks primarily in the hope that they may rise …
Published in E-Commerce for Future & Trends · Vol. 10, Issue 1, 2023 · pp. 9–14 Read article
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Design and Implementation of Modular 3D LED Cube
Abstract: Abstract3D LED cube is a real 3D display that is built from many individual LEDs arranged in X, Y and Z axis. Because many LEDs are used these displays have complicated structure, electronic board and software. Different dimension (resolution) of this display are proposed and implemented, but these systems are non-modular, and we can’t develop their dimensions simply and quickly. In this paper, we propose three novel electronic modules for …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 14–28 Read article
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PoE Standards: A Guide to Powering Your Network Devices
Abstract: We summarize in our article about Power over Ethernet and the job of Power over Ethernet (PoE). PoE is a growing industry standard for powering devices that require both a data connection and power using the standard Ethernet cabling. The IEEE 802.3at and 802.3bt specifications permit the layering of up to 90 watts of electricity per network link onto already-installed or future Ethernet cable networks in a secure and reliable …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 3, 2022 · pp. 28–34 Read article
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Extraction of speech Emotion Features Using MLP Classifier
Abstract: Speech Emotion Recognition is a thriving research topic. Speech emotion recognition use MLP classifier to categorize the emotions from the speech. This Speech is also used as the medium, through which one can express their feelings and mind state in human to machine interaction. The case is very easy where two humans communicate along with their emotions as by nature, they can recognize each other’s emotions. But for computer, if …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 11–19 Read article
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Multiclass Content-based Visual Information Retrieval using Multi Layer Perceptron and Convolution Neural Network: A Comparative Study
Abstract: Content-based visual information extraction is an area, which utilizes the computer vision methods for searching and indexing the images in image library more competently than manual annotations. Due to the exponentially increase in image database volume, there is a demand of efficient retrieval system. Deep learning-based machine vision systems have the ability to handle large amount of data efficiently than ordinary machine vision systems. This paper proposed a content-based image …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 1–9 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Ascobolus scatigenus (Berk. & Curtis) Brumm: New to Eastern Uttar Pradesh and Revision of Checklist of Ascobolus
Abstract: In this study, Ascobolus scatigenus (Berk. & Curtis) Brumm. was reported for the first time from a newly described habitat in Eastern Uttar Pradesh, India. So far, this coprophilous cup-fungus was known to be reported only from Saharanpur Garden, Sheikhupura, Hyderabad, and Punjab. External morphology and microscopic characteristics were very similar to those of Ascobolus scatigenus (Berk. & Curtis) Brumm. Many apothecial cups of the fungus were growing over the …
Published in International Journal of Fungi · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article
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Controversial Issues of Security in Wireless Sensor Network
Abstract: Wireless Sensor Network (WSN) is an emerging technology which shows a very good number of valid futuristic applications both for common people and military. As wireless sensor networks continue to grow, so does the need for effective security mechanisms. Wireless sensor networks are quickly gaining popularity due to the fact that they are potentially low cost solutions to a variety of real-world challenges. The basic idea of a sensor network …
Published in Recent Trends in Sensor Research & Technology · Vol. 1, Issue 1, 2014 · pp. 1–7 Read article
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Predicting Client Behavior for Bank Marketing Using Multi-Layer Perceptron Model
Abstract: AbstractThese days machine learning is one of the most widely used approaches in every industry. And among many techniques of machine learning, classification is the most used one. In this paper, various classification models are used to draw some conclusion for many input variables and one output variable of banking data and classify the output variable into two classes. Various statistics are shown which are generated during classification. The work …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 2, 2017 · pp. 5–8 Read article
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Integrating Atmospheric Science: Understanding Greenhouse Gases, Aerosols, and Air Quality Dynamics
Abstract: Atmospheric science investigates the Earth’s atmospheric systems to understand their composition, dynamics, and the implications for climate, weather, and air quality. This review explores five primary areas within the field: atmospheric composition, atmospheric modeling, remote sensing, air pollution, and boundary layer dynamics, highlighting critical challenges and advancements. Rising levels of greenhouse gases (GHGs), including carbon dioxide and methane, continue to drive global warming, while feedback mechanisms—like cloud interactions and surface …
Published in International Journal of Atmosphere · Vol. 1, Issue 1, 2024 · pp. 32–35 Read article
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A Dynamic Text Compression Model for Big Data Applications Using Hadoop
Abstract: In today’s data-driven era, efficiently handling vast amounts of information has become increasingly important. Data compression plays a vital role in this regard — it is essentially a method of encoding information in such a way that significantly reduces the number of bits required to store or transmit a file. By shrinking data to its most compact form, compression techniques help save storage space, reduce bandwidth consumption, and improve the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 2, 2026 Read article
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Development and Validation of HPTLC Methods for Estimation of Trimebutine Maleate in Pharmaceutical Formulation
Abstract: A simple and rapid high-performance thin-layer chromatographic (HPTLC) method was developed and validated for quantitative determination of trimebutine maleate in single dose formulation. Trimebutine maleate was chromatographed on silica gel 60 F 254 TLC plate using methanol–toluene (8:2 v/v) as mobile phase. The plates were developed to a distance of 8 cm at ambient temperature. Trimebutine maleate was quantified by densitometric analysis at 271 nm. The method was found to …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 8, Issue 1, 2017 · pp. 17–22 Read article
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Orientation of Easy Axis of Ferromagnetic Films as Explained by Third Order Perturbed Heisenberg Hamiltonian
Abstract: The third order perturbed Heisenberg Hamiltonian has been applied to explain themagnetic easy axis orientation. Ferromagnetic CoPt/AlN multilayer thin films withnumber of layers N=11, 16 and 21synthesized on fused quartz substrates using dcmagnetron sputtering technique have been employed as experimental data. According toexperimental research performed by some other researchers, easy axis of these fccstructured ferromagnetic films is oriented in the plane of the film above one particulartemperature. Average value of …
Published in Research & Reviews : Journal of Physics · Vol. 2, Issue 3, 2013 · pp. 5–9 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Power and Congestion Control for M.A.N.E.T using Cross-Layer Design for Future Technology
Abstract: AbstractRouting in M.A.N.E.T is challenging due to its navigation feature. The main causes of link failure are mobility, interference, and congestion. Mobility means that each node is free to move within its transport range. Interference occurs due to collision and hidden node. A hidden node means two nodes outside the radio range of each, simultaneously try to transfer data to an intermediate node, which lies in the radio range of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 6, Issue 3, 2019 · pp. 1–12 Read article
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Phytosociological Analysis in Kumaun Himalaya using Satellite Remote Sensing with Special Reference to Woody Vegetation
Abstract: AbstractThe present study deals with phytosociological analysis of woody vegetation (tree layer and shrub layer) of different forest types occurring in Kumaun Himalaya, Uttarakhand. A total 12 forest types were mapped using multiseason satellite data of IRS-P6, AWiFS sensor. Sampling was carried out in all the forest types to characterize the structure of forests in terms of abundance, density and dominance at different sites. The field data from different sites …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 20–30 Read article
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Data Security in IoT
Abstract: Privacy and security are among the major Internet of Things (IoT) challenges. Improper device upgrades, lack of effective and robust security agreements, user ignorance, and popularity active device monitoring is among the challenges IoT faces. In this work, we explore the background of IoT applications and security measures, and identifying alternative security as well privacy issues, methods used to protect location components and IoT-based programs, existing security solutions, and the …
Published in Journal of Multimedia Technology & Recent Advancements Read article