Search
276 articles for “Accuracy”
-
A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
-
DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
-
A Technical Overview of Nanorobots Using Nanotechnology
Abstract: Nanorobots are tiny machines that can interact with biological structures and environment with previously unheard-of accuracy thanks to nanotechnology, the deception of matter on the atomic and molecular scale. The design, operation, and use of nanorobots in materials research, environmental remediation, and medicine are examined in this work. Nanorobots are designed to carry out tasks including targeted medicine delivery, microsurgical treatments, and pollution neutralization by combining concepts from materials engineering, …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 · pp. 31–38 Read article
-
IoT-Based Real-Time Beam Deflection Monitoring for Structural Integrity
Abstract: Abstract Structural health monitoring is essential to ensure the safety of civil engineering constructions. Conventional laser-based methods of deflection measurement are expensive and invasive, especially for historical buildings and hostile environments such as mines and caves. This project aims to design a low-cost, non-invasive IoT-based system using strain gauges to monitor beam deflection in real-time, providing early warning for any potential structural damage. The system is based on using strain …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 Read article
-
Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A HybridMetaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 Read article
-
SUSTAINABLE ENERGY METER FOR NON- ESSENTIAL LOADS
Abstract: The growing demand for accurate, cost-effective, and sustainable energy monitoring solutions has accelerated advancements in smart metering, non-intrusive load monitoring (NILM), and real-time consumption analysis. This research paper consolidates and extends insights from recent developments in energy metering technologies, focusing on battery-free sensing, IoT- enabled monitoring, life-cycle sustainability, and meter performance under distorted grid conditions. Building upon prior work on non-intrusive and adaptive load monitoring, this study proposes an integrated …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 21–30 Read article
-
SYNTHETIC MEDICAL DATA GENERATIONUSING GAN MODEL
Abstract: The healthcare industry has witnessed growing interest in synthetic data generation, driven by increasing demands for large and diverse datasets. Real medical data is often inaccessible due to stringent privacy laws, data scarcity, and ethical considerations. Sophisticated models, such as Generative Adversarial Networks (GANs), have emerged as powerful tools to generate synthetic data that closely resembles real-world data. This approach is particularly effective for addressing the challenges of researching rare …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
-
The Versatility of the IC 741 in Electronic Sensor System Design
Abstract: In the vast and intricate realm of electronics, few components have had as profound an impact onthe development of sensor systems as the humble IC 741. This groundbreaking device wasdesigned to provide a high degree of flexibility and reliability, making it an ideal choice for awide range of applications. The IC 741 is characterized by its high input impedance, low outputimpedance, and high gain, which allow it to amplify weak …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 2, 2025 Read article
-
Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
-
Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
Comprehensive Review of Processes, Materials, Developments, and Challenges of Additive Manufacturing
Abstract: Abstract Additive Manufacturing (AM), or 3D printing as it is known widely, has evolved significantly from being a prototyping technology to an end-use production technique across different industrial sectors. This groundbreaking technology allows for the direct creation of intricate, user-designed, and high-performance components through sequential addition of material from digital models, which abolishes most of the design and production constraints of conventional manufacturing. Its application is underscored by its pivotal …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 6–24 Read article
-
e-Kidney Filtration System (EKS) Using Sensor: A Study
Abstract: This research presents the design and preliminary validation of an E-Kidney Filtration System (EKS), an innovative artificial kidney leveraging advanced sensor technology for precise and adaptable blood filtration. Traditional hemodialysis, while life-sustaining, is a passive process with inherent limitations in its ability to dynamically respond to individual patient needs and fluctuations in physiological parameters. EKS aims to overcome these limitations by integrating a suite of real-time biosensors and electrochemical sensors …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 31–40 Read article
-
Hybrid Machine Learning Model for EfficientBotnet Attack Detection in IoT Environment
Abstract: The rapid advancement and widespread adoption of internet technologies have led to a surge in cyber-attacks, with botnet attacks emerging as particularly detrimental. Identifying botnet activities is increasingly challenging due to the diverse attack vectors and the evolving nature of malware. As the Internet of Things (IoT) continues to expand, network devices become more vulnerable to these sophisticated attacks, resulting in significant security breaches and financial losses. In order to …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 31–38 Read article
-
Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
-
Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
-
Redefining Land Ownership: A Blockchain-Powered Framework for Transparent and Decentralized Land Record Governance
Abstract: Conventional land record management systems have long suffered from issues, such as inefficiency, data manipulation, corruption, and lack of transparency, which collectively hinder effective governance and erode public trust. This paper introduces a blockchain-based framework aimed at revolutionizing land record management by ensuring enhanced transparency, data security, and operational efficiency. The proposed system leverages the decentralized and immutable nature of blockchain technology to eliminate the need for intermediaries, thereby minimizing …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 2, 2025 · pp. 27–39 Read article
-
Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures, like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
-
Numerical Investigation of Hybrid Composite Armors: Cost-Effective Solutions for Ballistic ProtectionUsing ANSYS
Abstract: This study presents a detailed numerical investigation of hybrid composite armors as a cost-effective and lightweight solution for ballistic protection. With increasing the demand of protective systems that ensure high mobility with light weight and cost-effective armor without compromising safety. Traditional steel armor has already proven to be a reliable protection system but the main problem is its mobility. To address this issue, the work focuses on composite material as …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–11 Read article
-
Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article