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253 articles for “data layer”
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Supervision of College Management Using Database Management System
Abstract: The college management system is a software application created with C programming and file handling methods. It serves as a centralized platform for overseeing diverse aspects of college operations, encompassing student details, course information, faculty records, enrollment management, attendance monitoring, grade administration, reporting, and administrative functions. It is designed to efficiently manage student, course, and faculty information in a college setting. The system utilizes files for data storage and conducts …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 2, 2024 · pp. 1–7 Read article
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Advanced Security Mechanisms for AIDL Communication in High-Risk Environments
Abstract: Android Interface Definition Language (AIDL) serves as a critical component for inter-process communication (IPC) in Android systems, facilitating seamless interaction between different application components. However, in high-risk environments, such as military, healthcare, and financial systems, AIDL communication faces significant security challenges, including unauthorized access, data tampering, and privilege escalation. This paper presents a detailed review of the advanced security mechanisms designed to safeguard AIDL communication in such environments. We propose …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 1, 2026 Read article
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Phase Noise Reduction in WLAN by Applying Wavelet Packet Multiplexing
Abstract: The IEEE 802.11 standards for wireless Local Area Networks (LANs) commercialized as Wi-Fi are deployed in office and home environments. These systems provide data rates up to 1300 Mbps at 5 GHz and 400 Mbps at 2.4 GHz with physical layer based on OFDM and MIMOOFDM. Traditionally, multiplexing in OFDM is realized using static orthogonal waveforms derived from Fourier transforms. The decoding of the data at receiver is based on …
Published in Journal of Communication Engineering & Systems · Vol. 7, Issue 3, 2017 · pp. 8–15 Read article
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ESP32 Web Gateway: Bridging Devices for Seamless Interconnectivity in IoT
Abstract: A gateway functions as a conduit linking two networks, which may utilize different networking models. In its role as an intermediary, it receives data from one system, interprets it, and then transmits it to another system. Gateways, also referred to as protocol devices, have the capability to operate at various network layers and typically possess greater complexity compared to switches or routers. This project aims to revolutionize data communication in …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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The Role of IoT in Shaping Smart Cities with Architectural Perspective
Abstract: The integration of IoT in smart cities is revolutionizing the development of cities through interconnected systems that enhance efficiency, sustainability, and quality of life. Real-time data collection,communication, and processing are facilitated by IoT technology through its layered architecture:sensing, network, and application layers. These interlinked ecosystems help solve such serious problems of urbanization as the efficient allocation of resources, smooth flow of traffic, efficient utilization of energy, and the handling of …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 1–10 Read article
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Semantic Classification of Images in Hierarchical Manner using Fuzzy Rules and HSVM Classifier
Abstract: Hierarchical structure classification is more effective in concept based classification. The feature vector is varying with the different concepts, though it belongs to the same class. Images which are similar in appearance are not correlated semantically. Hence an author made an attempt to classify the images in the dataset in concept wise in a hierarchical manner. For this, an author manually clustered the same concept images in a layer by …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 2, 2020 · pp. 33–54 Read article
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Aerodynamic Flow Separation Control Using Active Flow Devices
Abstract: Flow separation remains a significant challenge in aerodynamic applications, often leading to increased drag, loss of lift, and reduced efficiency in air and ground vehicles. This study investigates the use of active flow control (AFC) devices to mitigate flow separation and enhance aerodynamic performance. Active methods such as synthetic jets, plasma actuators, and pulsed blowing are examined for their ability to dynamically manipulate boundary layer behavior and delay or suppress …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 1–7 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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The Frequency and Transient Analyses of a High Voltage Bushing/Transformer Cascade
Abstract: This paper investigates the frequency characteristics and electromagnetic transients of a typical system composed of a high voltage bushing and a power transformer connected in cascade. Detailed distributed-parameter Laplace-domain models are adopted for the digital simulations. These parameters include, among others, the transformer winding’s series inductance, its capacitance to ground and the inter-turn capacitances. Moreover, the number, the geometrical data of the capacitively-graded bushing’s conducting foils and the dielectric insulating …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 1, 2019 · pp. 42–53 Read article
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A Comparative Study on Emotion and Gender Prediction using OpenCV Library and Deep Learning
Abstract: AbstractIn this paper, we are going to study and develop a convolutional neural network (CNN) using EmoPy python Library for training our dataset, which performs human facial recognition as well as their gender prediction with real-time emotions. This model will work with OpenCV, Keras 2.3.1 and EmoPy. A fully connected layer of convolutional neural network which identifies the gender as well as the art of emotion of the human for …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 3, 2020 · pp. 20–25 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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Multi-layer Perceptron Ensemble for Estimation of Available Transfer Capability in Deregulated Environment
Abstract: The available transfer capability (ATC) estimation problem can be considered as a unique answered puzzle to be solved with highly nonlinear complexity of power systems and the uncertain state of the energy market. To implement the open access in deregulated markets, system operator should post ATC at a small and regular interval on openly accessible network. This forces the quick computation of ATC of transmission path. In these situations, the …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 57–71 Read article
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Deep Learning Architectures for Predictive Modeling in Financial Time Series
Abstract: This study investigates the application of deep learning architectures, particularly convolutional neural networks (CNNs), to the challenging task of financial time series forecasting. Financial markets are inherently complex and influenced by a range of factors, making accurate prediction of price movements a difficult problem. In this research, historical financial data including stock prices, volumes, and other relevant indicators are used to train CNN models aimed at capturing the underlying patterns …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 45–55 Read article
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Detection of Cervical Cancer Using lncRNA Expression Data and Detection of Possible Biomarkers with Bagged CART Machine Learning Method
Abstract: Aim: Cervical cancer (CC), one of the most common gynecological cancers, occurs when the cell layer that forms the surface of the cervix turns into abnormal cells. This type of cancer ranks fourth in cancer-related female deaths, and 3.6% of women living in developed countries suffer from this disease, while approximately 15% of women living in underdeveloped countries are exposed to this cancer. The primary means of reducing the high …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 1, 2023 · pp. 12–20 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Calcareous Soil as a Promising Adsorbent to Remove Fluoride from Aqueous Solution: Equilibrium, Kinetic and Thermodynamic Study
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 In this work, the feasibility of employing calcareous soil to remove fluoride ions from its aqueous solutions was investigated under batch mode. The influence of solution pH, sorbent dose, initial fluoride concentration, contact time, stirring rate and temperature on the removal process were investigated. The equilibrium adsorption data were analyzed using Langmuir, Freundlich and Temkin isotherm models. The kinetics of fluoride …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 3, Issue 3, 2012 · pp. 1–21 Read article
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Parametric Effect on the Mechanical Property of Extrusion-Based 3D-Printed Parts
Abstract: Material extrusion-based 3D printing, a prevalent and economical approach for producing complex geometries, heavily relies on acrylonitrile butadiene styrene due to its advantageous mechanical properties and dimensional stability. Nevertheless, the mechanical integrity of 3D-printed components is considerably impacted by process variables. This research investigates the implications of critical parameters – layer height (LH), infill percentage (IP), and infill pattern design (IPD) – on the tensile, compressive, and flexural strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 160–170 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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A Protected IEEE 802.15.4 Transceiver Design by a Physical Layer Encryption Approach
Abstract: AbstractWith the multiplication of Internet of Things (IoT), the IEEE 802.15.4 physical layer is winding up progressively, well-known due to its low power utilization. Be that as it may, secure data communication over the system is a testing issue since vulnerabilities in the existing security natives prompt a few assaults. The alleviation of these assaults independently includes noteworthy processing load the honest to goodness hub. In this paper, we propose …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 2, 2018 · pp. 1–6 Read article