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199 articles for “DB”
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Enhanced Incremental DB Scan Algorithm using Map-Reduce
Abstract: Distributed data mining is more efficient, scalable and its performance is better than the central data mining techniques. Incremental DBSCAN algorithm is better than the other method DBSCAN. Incremental DBSCAN can give better performance in distributed environment in terms of run time complexity using Hadoop platform. The proposed system uses spatial dataset i.e. dataset are distributed among different sites. Initially, clusters are generated at each site using DBSCAN algorithm. Then …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 2, 2015 · pp. 1–6 Read article
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A Step towards Malaria Vaccine DBP Engagement with DARC of Erythrocyte
Abstract: Plasmodium vivax is causative agent of malaria. In Plasmodium vivax Duffy binding protein (DBP) is most ligand for merozoite invasion of human erythrocyte surface by DARC. Thus, it is most suitable protein for development of vaccine. Initial infection can stop threw malaria vaccine DBP has great role of a family of related proteins found in different malaria species that are found in host cell invasion. There is only reason of …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 3, 2017 · pp. 19–26 Read article
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Image Segmentation by Grouping Pixels in Color and Image Space Simultaneously using DBSCAN Clustering Algorithm
Abstract: In this paper, the authors propose a technique for image segmentation by integrating the spatial connectivity and color features of pixels. Taking into account that an image can be considered as a dataset in which each pixel has a spatial location and a color value, color image segmentation can be obtained by clustering these pixels into different groups of coherent spatial connectivity and color. To discover clusters in spatial databases …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 3, 2013 · pp. 52–60 Read article
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Superpixel Segmentation using DBSCAN Clustering Algorithm
Abstract: AbstractSuperpixel division strategies are generally utilized as a pre-preparing venture to accelerate picture handling tasks. They assemble the pixels of a picture into homogeneous locales while attempting to regard existing shapes. In this paper, we propose a quick superpixels division calculation with contour adherence utilizing the density based spatial clustering of applications with noise (DBSCAN) algorithm. We implement a two-stage processing to decrease the computational costs of superpixel algorithms. First …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 26–36 Read article
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Improving DBSCAN using Parallel Computing Approaches
Abstract: AbstractData mining has become the buzz word of computational research due to its enormous economical and social significance. Clustering is subset of data mining operations and is a type of learning using observation techniques. Clustering uses on unsupervised learning model and does not require any training data to generate the clustering model. Clustering enables grouping of similar and dissimilar type of data in separate groups. DBSCAN is on emerging and …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 20–26 Read article
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An Enhanced DBSCAN Clustering Mechanism in Big Data
Abstract: Big data is the term for a gathering of data sets so immense and complex that it ends up hard to process utilizing present database administration devices or traditional data handling applications. Today, current data volumes are driven by both unstructured and semi-organized data. In this manner, end-to-end preparing can be blocked by the change between organized data in social frameworks of database administration and unstructured data for examination. In …
Published in Journal of Web Engineering & Technology · Vol. 5, Issue 2, 2018 · pp. 10–15 Read article
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Overview of Database Management Systems: Components, Abstraction, and Applications
Abstract: Computer software called a database management system (DBMS) is made to manage databases effectively and conveniently. The primary goal of DBMSs is to efficiently and conveniently store and retrieve data. This paper provides an overview of the DBMS, including an explanation of its components and the data model that specifies how the data should be organized for a given use. Giving users an abstract view of the data is one …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 3, 2023 · pp. 35–40 Read article
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Observational Study on the Association Between Body Mass Index and Hypertension Among Adults of Jamia Nagar and Its Adjoining Areas
Abstract: Hypertension is becoming the talk of the town nowadays. It has been found that persons with high BMI are more prone to hypertension. Research studies have found that there is an increase in the number of cases in the developing nations as well, when compared with the developed world. BMI, which is also known as Basal mass index help in measuring the leanness of a person, which helps in quantifying …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 · pp. 01–09 Read article
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A study on the levels of noise pollution in Indore City, India, using pollution indices
Abstract: The purpose of this study was to investigate the patterns of environmental noise levels in the communities surrounding Indore City. The escalation of industrialization, urbanization, and transportation systems has led to a widespread problem of noise pollution in urban areas across the globe, which in turn has a significant impact on the overall quality of life. The issue of noise pollution has gained considerable attention as it has become a …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 1, 2023 · pp. 8–12 Read article
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Chemical Constituents and Tyrosinase Inhibitory Activity of Ethyl Acetate Extract of the Leaves of Morus alba L. from Vietnam
Abstract: AbstractFour compounds (DB1–4) were isolated from the Mulberry leaves (Morus alba L.) collected in Thai Nguyen province by chromatographic methods. These compounds were identified as: Kaempferol-3-O-β-D-glucopyranoside (DB1), quercetin 3-O-α-L-rhamnopyranoside (DB2), isofraxidin-7-O-β -D-glucopyranoside (DB3), and (±) -3, 5, 6, 7, 8, 4’-hexahydroxyflavane (DB4). Their structures were elucidated by spectroscopic methods, including mass spectrometry (MS) and nuclear magnetic resonance (NMR). Compound DB4 was isolated from Mulberry leaves for the first time. Compound …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 8, Issue 1, 2018 · pp. 21–26 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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DATABASE-DRIVEN ENERGY MANAGEMENT IN ELECTRIC VEHICLES
Abstract: With the growing concern over environmental pollution, there is an increasing demand for sustainable and eco-friendly technologies. Among these, electric vehicles (EVs) have emerged as a promising alternative to conventional fossil-fuel-based transportation. However, as EV adoption accelerates, efficient energy management becomes critical to enhance vehicle performance, extend battery life, and ensure overall system reliability. This research presents a Database-Driven Energy Management System (DBEMS) that leverages real-time data from EV components …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 19–24 Read article
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Tri-Band Edge-Cut Rectangular Microstrip Patch Antenna on Composite Substrate for RF Energy Harvesting in IoT Networks
Abstract: The increasing use of Internet of Things devices underscores the pressing need for sustainable energy solutions, since traditional batteries necessitate regular replacement and constrain scalability. Radio frequency energy harvesting is a viable option; nonetheless, antenna design continues to provide a significant problem owing to the requirements for compactness, efficiency, and multi-band functionality. A hybrid composite substrate configuration combining FR4 (εr = 4.3) and RT Duroid (εr = 2.2) is employed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 867–883 Read article
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Automatic Identification of Obstacles and Crack Sensing Scheme in Rail Tracking System
Abstract: AbstractIn this paper, we have established into the identification of cracks and obstacles in rail tracking system. This system comprises of GSM modem, ultrasonic sensor, proximity sensor, PIC microcontroller to bring into the operation the crack detection and obstacle detection. The GSM modem contributes in transmission of railway geometric parameter of crack detection to the control room. Ultrasonic and Proximity sensors are used to detect the obstacles and crack in …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 6–10 Read article
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An Approach for Travel Pattern Analysis Using HDBSCAN and Apriori Algorithms
Abstract: Most mega-city regions around the world are suffering from an ongoing increase in the number of commuting trips. Understanding commuting patterns is crucial for both public and authority planners. The understanding of travel patterns helps passengers to know about the places and the time where they could get vacant transport and also helps authority planners in laying out a new transport service. The traditional way of understanding travel patterns includes …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 2, 2023 · pp. 1–9 Read article
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Enhancing Building Energy Efficiency Through IoT Integration
Abstract: Building management systems featuring Internet of Things (IoT) technology provide a revolutionary way of maximizing user comfort and improve the use of energy. This study presents a comprehensive analysis of various components within an IoT subsystem utilized in building management, including Smart IoT Gateways, temperature and humidity sensors, lightweight database systems such as Tiny DB, and cloud communication platforms like Twilio. Each component plays a vital role in facilitating real- …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 2, 2024 · pp. 15–23 Read article
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The Future of PDS: Innovations, Challenges, and Impact on Beneficiaries
Abstract: The Public Distribution System (PDS) in India serves as a critical instrument in combating hunger and ensuring food security among the country’s economically weaker sections. It operates through a vast network that provides subsidized food grains and essential commodities to millions of citizens. Despite its significance, the PDS continues to face multiple operational challenges, including inefficiencies such as diversion of supplies, widespread corruption, pilferage, and the exclusion of genuine beneficiaries …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article
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A Review of XML Technologies for Enhancing Security in Advanced Database Management Systems
Abstract: The integration of extensible markup language (XML) technologies into advanced database management systems (DBMS) has revolutionized data storage, retrieval, and security paradigms. This comprehensive review examines the critical role of XML-based security mechanisms in protecting sensitive data in contemporary database environments. This study explores various XML security technologies, including XML encryption, XML digital signatures, XML access control models, and XML firewalls, and analyzes their implementation strategies and effectiveness in mitigating …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 1, 2026 · pp. 29–38 Read article
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Recording of Leakage-free Surface-Driven Capillary Flow of Dyed Water in the Dual Sudden Contraction Microchannels
Abstract: Dual sudden contractionpolymethylmethacrylate (PMMA) microchannels are fabricated by the maskless lithography, hot embossing lithography, direct bonding technique, and atmospheric pressure air dielectric barrier discharge (DBD) plasma processing. The surface-driven capillary flow of dyed water is faster on the processed PMMA surface than the pristine PMMA surface. The surface-driven capillary flow of dyed water is slower in the wider portion and faster in the narrower portion of any dual sudden contraction …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 40–44 Read article
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Analysis of DIBL Effect in MOSFET Working
Abstract: AbstractOne of the most widely used electronic devices, particularly in digital integrated circuits, is the metal insulator semiconductor (MIS) transistor. Most of the existing transistors used in fabrication of integrated chips are with junctions. The device scaling is growing the channel length between junctions in devices are scaling gone down to 10 nm. Drain Induced Barrier Lowering (DIBL) effect is prominent as the feature size of MOS device keep diminishing. …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 33–40 Read article