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38 articles for “DT”
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Advancements in Satellite Networking Applications Through Delay-tolerant Networking (DTN)
Abstract: The burgeoning demand for global connectivity and communication has intensified the exploration of novel networking paradigms, especially in remote or challenging environments where traditional methods fall short. One such innovative approach is delay-tolerant networking (DTN), a technology specifically engineered to work in scenarios where standard networking is unreliable, frequently disrupted, or suffers from considerable delays. This study focuses on the application of DTN in satellite networking, a domain characterized by …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 24–28 Read article
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DTMF Based Home Automation Without Using Microcontroller
Abstract: Currently mobile has become our lifestyle, because of low price of housing automation and through DTMF. DTMF (dual tone multiple frequency) primarily based system contains 2 mobile phones, DTMF Decoder and UNL2003 main a part of the project. One mobile is employed as remote which can settled at way distance from home through that directions area unit felt occupation and another mobile is found reception act as a receiver. The …
Published in Journal of Microcontroller Engineering and Applications Read article
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Application of DTMF and Zigbee Wireless Communication in a Smart Home
Abstract: This paper presents the method of monitoring and controlling the smart devices in a smart home using dual-tone multi-frequency (DTMF) signal and Zigbee wireless communication. Today most of homes are equipped with relatively prefect phone lines. Thus, DTMF is very helpful in decreasing the cost of smart homes. DTMF is a signal used in the telephone network in calling with numbers. If this is used, not only can we control …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 1–10 Read article
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Resilient Shell-Based Networking Frameworks for DTN Environments: Enhancing Reliability and Security across Disrupted and High-Latency Satellite Channels
Abstract: The foundation of DTN, as suggested by the Internet Research Task Force (IRTF), is the definition of a suite of protocols that function in networks with periodic disconnections and long- duration route conditions. A permanent end-to-end channel from the source to the destination is the foundation of traditional IP-based networking. However, DTN employs a store-carry- forward approach that gives intermediary nodes the ability to temporarily hold messages (or bundles) until …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 3, 2025 Read article
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Symmetry Principles in Digital Twin Systems: Modeling, Integration, and Applications
Abstract: This systematic review comprehensively examines the burgeoning field of Digital Twin (DT) technology, analyzing its current state, diverse applications, and future trajectory. Through a rigorous methodology involving a systematic search of academic databases and relevant industry literature, this review synthesizes findings across a spectrum of disciplines. We identify the core components and underlying principles of DTs, distinguishing them from traditional simulation models by their dynamic, realtime data integration and bi-directional …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 06–24 Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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In silico Molecular Docking Analysis of Stephania glabra phytocompounds Targeting Thymidylate Kinase for potential Antituberculosis Activity
Abstract: Tuberculosis (TB) is an infectious disease caused by the bacteria Mycobacterium tuberculosis. It mainly affects the lungs and spreads through the air when a person with active TB in their lungs coughs, sneezes, or spits. This study investigates several bioactive compounds derived from plants to forecast how effective plant-based ligands will be at preventing tuberculosis. The purpose of the study was to use computational techniques to assess the effectiveness of …
Published in International Journal of Molecular Biotechnological Research · Vol. 3, Issue 2, 2025 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Portable and User-friendly Air Watch System Based on IoT
Abstract: The internet of things (IoT) based air monitoring system is a novel approach to monitoring air quality in real time. With the increasing concerns over pollution and its impact on human health, our IoT-based air monitoring system offers a solution to gather and analyze air quality data efficiently. The system utilizes IoT devices like Node MCU and sensors like MQ135 and DTH11 to collect data such as temperature, air quality, …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 3, 2024 · pp. 19–27 Read article
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The Role of Simulation and Digital Twins in Enhancing Mechanical Production Efficiency: A Systematic Review
Abstract: In the evolving landscape of smart manufacturing, simulation technologies and digital twin (DT) systems have emerged as pivotal tools for enhancing the efficiency, agility, and sustainability of mechanical production processes. This systematic review investigates how the integration of simulations and DTs contributes to performance improvements across various stages of mechanical manufacturing—ranging from design and process optimization to predictive maintenance and real-time monitoring. While simulations provide the ability to model, test, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 31–36 Read article
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Reaching Conditions for Discrete-time Sliding Mode Control: Analysis and Design
Abstract: Sliding mode control (SMC) is a robust control method widely used in engineering due to its ability to handle uncertainties and disturbances effectively. In discrete-time sliding mode control (DSMC), system trajectories are constrained to sliding surfaces in the state space, leading to improved performance and stability. This paper provides an overview of DSMC, focusing on its applications, advantages, and limitations. It discusses the use of DSMC in various engineering fields …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 7–14 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Thermal and Morphological Characterization of Rice Starch–Charcoal Composites for Eco-Friendly Engineering Applications
Abstract: This work focuses on the development and evaluation of rice starch–charcoal–based composite materials to overcome the limitations of natural composites with low thermal properties. In order to examine the impact of filler concentration on thermal and structural performance, eight composite specimens were created by altering the ratios of rice starch and charcoal. TGA, DTA, AFM, SEM, and measurements of thermal conductivity and effusivity were used to thoroughly characterize the composites. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1286–1297 Read article
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Cyber Security Evaluation for a Petroleum Refinery Using Attack Tree Methodology and Economic Indexes
Abstract: Information Technology (IT) is vital and valuable to our society. An important type of IT system is Supervisory Control and Data Acquisition (SCADA) systems. The most common misconception regarding the security of SCADA was that this network was electronically isolated from other networks and hence attackers could not access them. Over the years SCADA systems have become incorporated with other IT systems, which has made them becoming increasingly vulnerable to …
Published in Emerging Trends in Chemical Engineering Read article
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Anisotropic Debye-Waller Factors and Debye Temperatures in Hexagonal Close-Packed Elements: A Comprehensive Compilation and Analysis
Abstract: In this study, we have investigated the anisotropic behavior of Debye-Waller factors (DWFs) and Debye temperatures (DTs) in three distinct materials: hexagonal rhenium (Re), osmium (Os), and thallium (Tl). We conducted a comparative analysis, aligning our experimental data on directional Debye temperatures with theoretical calculations. This exercise provided valuable insights into the concurrence between practical and theoretical approaches, thereby offering a critical evaluation of the accuracy and reliability of theoretical …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 32–39 Read article
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Investigations into the Mechanical and Thermal Properties of Fe3C Compound: A Comprehensive Analysis
Abstract: Exploration of mechanical properties of Fe3C powder using Williamson-Hall analysis by using Mechanical alloying technique. The primary objective of this study is to investigate the lattice strain (LS) and nanocrystalline size (CS) in an Fe3C produced from powder using the Mechanical Alloying Method (MAM). By the repeated mechanical crushing, the LS created by MAM is expected to decrease while the CS is anticipated to reduce the particle size. To accomplish …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 225–234 Read article
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Synthesis and Characterization of VO 2+ doped SrMg 2 (PO 4 ) 2 Nanopowder by Solid State Reaction technique suitable for White LED material
Abstract: VO2+ doped SrMg2(PO4)2 nanopowder was synthesized by using solid state reaction (SSR) technique. Various experimental techniques have been performed on prepared sample. XRD analysis has revealed that prepared nanopowder is in monoclinic phase. The average crystallite size, micro strain and dislocation density evaluated and make an analogy with W-H plot method. SEM micrographs shows that agglomerated stone like structure and EDS spectrum shows elemental compositions of synthesized sample. FTIR spectrum …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 95–110 Read article
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Platelets A Tiny Cell Fragments
Abstract: Platelets are disc-shaped, anucleate cells that are approximately 2-3 μm in diameter. Their primary function is to control hemostasis, or blood clotting, but they also play important roles in angiogenesis (the formation of new blood vessels) and innate immunity (the body's first line of defence against infection). With a diameter of just 2-3 microns, platelets are tiny, disc-shaped cells that lack a nucleus. While their main responsibility is to ensure …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 22–28 Read article