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372 articles for “Extraction process”
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Chemical Sand Consolidation: An Overview
Abstract: Sand production from reservoir is a critical issue related to oil/gas fields because it gives rise to many serious problems in oil/gas production. Sand production from wells can damage the surface and subsurface facilities as well as it can reduce the well productivity, thus it can have adverse effects on economy of oil production. Sand control is requisite to economical extraction of oil/gas from the unconsolidated formations. So the development …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 2, 2015 · pp. 21–34 Read article
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Background Suppression for Visual Surveillance Using SOM
Abstract: AbstractBackground suppression is widely used approach for detection of moving objects in video streams which is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being able to segment video streams into moving and background components, detecting moving objects provides a focus of attention for recognition, classification, and activity analysis, making these later steps more efficient. An approach based on self-organization …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 1, 2015 · pp. 15–20 Read article
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Computer Aid for Stability Testing Between Parts towards Automatic Assembly Sequence Generation
Abstract: AbstractStability is one of the most essential criteria to be ensured during assembly sequence generation (ASG). The stability predicate ensures stable assembly subsets for sub-assembly detection and parallel assembly process. In this paper a novel method to represent assembly stability using four point scales is proposed. Mechanical equilibrium conditions are used to test the partial stability of the parts effectively. Part surface features and contact with attachments are considered to …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 22–26 Read article
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Advanced Document Query System
Abstract: For knowledge-intensive businesses, large document libraries contain a plethora of information. Massive, chaotic, collections of documents that are unstructured have emerged from this rapid increase. Even if accessing or storing these documents has become easier, finding the required critical information in these vast document collections has become more difficult. NLP (natural language processing) is one of the techniques used to retrieve the information that is required from a huge chunk …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 26–35 Read article
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Object Tracking Using Finite Element Method and Branching Filter
Abstract: AbstractWe present an approach to robustly track the object behavior that turns over time from a set of input points from a single viewpoint. The distortions considered are caused by applying forces to known Harris function on the object’s surface. Our method combines the use of prior information on the geometry of the object modeled by a smooth template and the use of a finite element method to predict the …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 35–40 Read article
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Development of Starch/Keratin/Chitosan Composite Material as a Substitute for Polystyrene in Food Packaging
Abstract: The increase in awareness of the environmental impact of non-biodegradable waste from food packaging, has seen manufacturers push towards initiating production of eco-friendly packaging materials. This research serves as a step forward in the direction of going green, through the development of a composite material from natural, biodegradable polymers, for use in production of packaging material for fast foods. The composite was prepared from starch and chitosan with chicken feather …
Published in Journal of Polymer & Composites · Vol. 7, Issue 3, 2019 · pp. 1–7 Read article
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Child Rescue System from Borewells Using Arduino
Abstract: India is facing water crisis constantly. India grapples persistently with an ongoing water crisis. It holds the unfortunate distinction of being the largest global extractor of groundwater, a perilous trend that jeopardizes political, economic stability, and public health in the long term. Consequently, there has been a surge in borewell installations tapping into subsurface aquifers, often situated in human-populated areas, with some failing to yield adequate groundwater resources. The traditional …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 2, 2023 · pp. 10–17 Read article
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User Review-Driven Recommendation Model for E-Scooter Selection
Abstract: In the era of rising environmental awareness and the growing emphasis on sustainable mobility practices, electric scooters (e-scooters) have gained significant popularity as an efficient and eco-friendly alternative to conventional modes of transport. Their ability to reduce carbon emissions, minimize traffic congestion, and offer cost-effective commuting solutions has made them highly attractive, particularly in urban environments. However, with the rapid expansion of the e-scooter market, consumers are faced with an …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 6–16 Read article
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Evaluation of composite material based on different phases of Face recognition System
Abstract: Composite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let's explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 195–204 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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P- and T-wave Characterization in the Presence of U-wave in Electrocardiogram
Abstract: AbstractEven after being noticed around a century ago the U-wave has not been studied much as compared to the other waveforms of the electrocardiogram (ECG). In this proposed work the effect of presence of U-wave on morphology of P-waves and T-waves has been studied. Characteristics of P-waves and T-waves from ECG beats with an U-wave has been compared with the P-waves and T-waves from ECG beat with an U-wave. Arithmetic …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 30–34 Read article
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Accelerate Drug Development with Pharmacokinetic Softwares
Abstract: During continuously evolving technologies and mechanized equipments, there has been a tremendous growth in the pharmaceutical sector over the past few decades. New technologies, software, devices, and techniques are being developed or researched upon with each passing day. By leveraging pharmacokinetic software, researchers can efficiently analyze vast datasets from preclinical and clinical studies, extracting actionable insights that inform decision-making early in the development cycle. This predictive capability not only accelerates …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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New Insight into the Composition and Structure of Sizing Agent from NMR Spectroscopy
Abstract: Sized carbon fibers (CFs) are of commercial significance as they form the main load-bearing component in advanced materials, namely, carbon fiber-reinforced plastics (CFRPs). Much of the knowledge of sizing composition and the process of sizing is a subject of intellectual property rights owing to its commercial relevance. In this original research article, deeper insights into the structure and composition of the sizing agent used for the surface modification of commercial …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 06–23 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Review on Drying of Tea Leaf during Manufacturing Process.
Abstract: India is the world's largest tea producer, and Assam contributes about 55 per cent of India's total production making it the largest tea growing area in the world. Tea production started in the early 1800s, during the British period. Maniram Dewan was Assam's first tea-maker. In the first two decades (1840–1860), the cultivation and production of Assam tea was monopolized by the Assam Company, which worked in Upper Assam districts …
Published in Journal of Catalyst & Catalysis · Vol. 7, Issue 1, 2020 · pp. 24–32 Read article
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Role of Human Neutrophils in Inflammation and its Modulation by Ixora coccinea
Abstract: Neutrophils are one of the key cells that actively participate in the innate immune reactions. Sequences of event of pathogen elimination by neutrophils are initiated with the activation of resting neutrophils. Pathogen is then eliminated by oxygen-dependent killing mechanism or oxygen-independent killing mechanism. This process includes margination, diapedesis, chemotaxis, phagocytosis and degranulation of neutrophils. Although, these mechanisms of the neutrophils are targeted to eliminate the pathogens and protect the body, …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 1, 2016 · pp. 32–48 Read article
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Zinc Oxide Nanoparticles from Murayya koenigii: Antibacterial Potential Review
Abstract: Nanoparticles (NPs) display unique characteristics in contrast to conventional physico-chemical synthesis methods, and they are utilized in various life science fields including surface coating, catalysis, food packaging, corrosion prevention, environmental cleanup, electronics, biomedical applications, and antimicrobial purposes. Metal NPs synthesized through green methods, particularly from plant origins, have garnered significant interest because of their inherent traits such as environmental friendliness, quick production, and cost efficiency. Over the past few years, …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 54–67 Read article