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253 articles for “data layer”
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Gatividhi Guard: The Activity Guardian—Revolutionizing Security Information and Event Management (SIEM) Technology
Abstract: In the dynamic landscape of cybersecurity, organizations confront increasingly intricate cyber threats that necessitate sophisticated security measures. Conventional systems such as Security Information and Event Management (SIEM) systems face ongoing challenges, they often struggle to effectively detect and mitigate sophisticated attacks within extensive data sets. To address these limitations, the introduction of Gatividhi Guard signifies a paradigm shift in SIEM technology. Gatividhi Guard is an innovative SIEM platform leveraging advanced …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 1, 2024 · pp. 29–44 Read article
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Best Practices in Cyber Security
Abstract: In today’s interconnected digital environment, robust cybersecurity practices are vital for protecting sensitive data and ensuring organizational resilience against the growing range of cyber threats. This article delves into essential cybersecurity best practices, focusing on proactive defense strategies, continuous monitoring, and fostering a culture of security awareness throughout the organization. Key strategies include implementing multi-layered security defenses, adopting zero-trust architectures, and ensuring regular patch management to minimize vulnerabilities. Leveraging advanced …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 01–15 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
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Li-Fi in Surgery: A Study
Abstract: The operating theatre is increasingly saturated with wireless devices that contend for limited radiofrequency (RF) spectrum, creating a latent risk of electromagnetic interference (EMI) with lifesupporting equipment. Light Fidelity (LiFi), a visiblelight communication technology that modulates LED illumination to transmit data, offers a compelling, RFfree alternative for intraoperative networking. This study investigates the feasibility, performance, and clinical impact of deploying a LiFi infrastructure to support highdefinition video streaming, realtime telemetry, …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 20–27 Read article
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DESIGN AND ANALYSIS OF A METAL LINED COMPOSITE OVERWRAPPED PRESSURE VESSEL
Abstract: This study presents a comprehensive investigation into the mechanical behavior of a metal lined composite overwrapped pressure vessel, designed for high-pressure storage applications. The design approach is dependent upon fiber material constants and dome shape factor. The study begins with obtaining dome coordinates and maintaining winding angles according to a geodesic path equation. Thickness estimation for the portion of cylindrical shell and domes are determined through netting analysis and cubic …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 215–232 Read article
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Review on CBIR Image Based on Colour, Texture and Shape Features of Biomedical Image Applications
Abstract: This study seeks to understand how different image enhancing methods affect the sensitivity of contrast-based textural measures and morphological traits derived from high-resolution satellite data (three-band SPOT-5). The built-up/non-built-up detection framework is the backbone of every biomedical application. Using supervised learning while working with a low-resolution reference layer reduces uncertainty and boosts the reference layer's quality in a roundabout way. The image's histogram is recalculated based on contrast in order …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 1, 2024 · pp. 8–13 Read article
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Formulation and Evaluation of Face Scrub using Mango Seed as Natural Exfoliant
Abstract: In this study, face scrub as oil in water cream with different ratios of mango seed coats’ powder and stearic acid in 12 different batches has been formulated. Also, mango leaves extract has been used as an antioxidant. Particle size of abrasive agent used was within range of 400‑600 um. Prepared face scrub was evaluated by spreadability, total fatty material (TFM), extrudability and pH. Sample formulation scrub for stability testing …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 6, Issue 3, 2019 · pp. 12–17 Read article
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To Study the VLF Signal for SeismoElectromagnetic Phenomena by Using Wavelet Analysis
Abstract: The research focuses on exploring the potential of Very Low Frequency (VLF) signals as indicators of seismic and geomagnetic activities, particularly in the context of earthquake prediction. It delves into the analysis of VLF data using wavelet-based methodologies and neural networks to detect anomalies preceding seismic events.Observations and analysis of VLF data revealed fluctuations and discrepancies, notably "silent days," occurring several days before seismic events. These irregularities studied through wavelet …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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Extraction of Drainage Pattern and Watershed from SRTM Data Using GIS Tools: A Case Study
Abstract: This paper proposes a fast and an inexpensive method for delineating the drainage and watershed of a sub-basin. Planning of the water resource management is evolving from simple local-scale problems toward complex spatially explicit regional scale. Such problems have to be addressed with distributed models that can compute runoff and erosion at different spatial and temporal scales. In general, watershed can range from as little as one hectare to hundreds …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 1–9 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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AI-Designed Functionally Graded Polymer Composites for Multifunctional Thin Films
Abstract: The design of multifunctional polymer composite thin films requires simultaneous optimization of mechanical, optical, barrier, and thermal properties—objectives often in conflict when using conventional homogeneous materials. This study presents an artificial intelligence-driven framework for designing functionally graded material (FGM) architectures in polymer nanocomposite thin films. We integrated machine learning with physics-based modeling to optimize compositional gradients across film thickness, achieving superior performance compared to homogeneous and discrete multilayer alternatives. A …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1026–1041 Read article
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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article
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Instant Response Garbage Disposal Using Android Application
Abstract: Solid waste is a major concern for government bodies and is a consequence of development, modernization, and urbanization. It refers to anything that is not a gas or liquid and poses a serious threat to the natural environment. Solid waste is a type of refuse that can accumulate in a certain area for an extended period of time if not properly managed. The waste can persist in the environment until …
Published in International Journal of Mobile Computing Technology · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Enhancing Security and Privacy in Smart Factory: A Blockchain Based Solution
Abstract: The manufacturing industry is currently experiencing a transformative shift due to the rise of smart factories, propelled by interconnected devices and automated systems. However, this integration of diverse technologies within smart factories introduces significant concerns regarding security and privacy. This research paper thoroughly investigates the vulnerabilities and threats prevalent in smart factory ecosystems, shedding light on the potential risks associated with centralized data storage and communication channels. The study emphasizes …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 13–20 Read article
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Exploring the Intersection of Blockchain and Cybersecurity
Abstract: The digital landscape is an increasingly contested battleground, where the escalating sophistication of cyber threats consistently challenges the efficacy of traditional, centralized security architectures. Pervasive data breaches, identity theft, and vulnerabilities stemming from single points of failure underscore an urgent need for a paradigm shift in cybersecurity. This study posits that blockchain technology, with its foundational principles of decentralization, immutability, cryptographic security, and transparent distributed consensus, offers a transformative framework …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 32–42 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Brain Tumor Detection Using RestNet50 Architecture
Abstract: This paper presents a novel deep learning model for brain tumor diagnosis from MRI scans on the basis of ResNet50 with some modifications. Optimizing the modified layers and pre-trained ResNet50 for improved diagnostic accuracy and reliability in real-world clinical settings is one of the key contributions of this paper. The model was trained on an extremely well-balanced data of 2,577 MRI scans, which were split equally among the tumor and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 1–13 Read article
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Regional Rice Yield Estimation by Integration of Spatial Technologies and Crop model
Abstract: This study investigates how spatial technologies like remote sensing and GIS (Geographic Information System) integrated with a crop growth model to estimate paddy rice yields. Two approaches were used to estimate rice yield one is from remote sensing images and another from soil, climate layers of GIS, linked to the crop model. Oryza2000 model was used as a crop model to link with these technologies. Results show that yield estimated …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 56–66 Read article
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Bioprospecting Unripe Pericarp of Annona Reticulata for the Presence of Bioactive Compounds
Abstract: The present work was carried out with the objective of isolating and identifying biologically significant chemical compounds from the ethanol extract of unripe pericarp of Annona reticulata through bioassay-guided fractionation. Ethanol extract of unripe pericarp was prepared and fractionation was done using silica gel chromatography. Thin-layer chromatography profiling was done and a single compound was obtained. The compound was subjected to various spectroscopic techniques for the elucidation of its structure. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 8, Issue 3, 2018 · pp. 44–49 Read article