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276 articles for “sensitivity enhancement”
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A Review on Arduino Based Distance Measurement Device
Abstract: Distance measurement plays a vital role in modern engineering applications such as robotics, defense systems, automotive safety, industrial automation, and assistive technologies. Traditional measuring tools such as rulers and measuring tapes are simple but not suitable for real-time and dynamic environments. On the other hand, advanced technologies such as LiDAR and radar provide high accuracy but involve high cost and complex implementation. This review paper provides a thorough analysis of …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 40–46 Read article
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Hardware Solution for LVRT Enhancement Techniques in DFIG - A Review
Abstract: With the advancement of wind power technology, penetration of wind power to power systems has increased significantly. Grid codes require that the wind generators should remain connected for specified time even under low voltage conditions. Stricter grid code requirements are now necessary to assure system stability and reliability due to the growing integration of wind power into contemporary power networks, which is being pushed by the quick development of wind …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 59–73 Read article
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Improved Unified Power Quality Conditioner Design and Numerical Simulation for Power Quality Improvement
Abstract: Harmonic currents can distort the waveform voltage, resulting in a weak signal. There is also an increase in the number of loads requiring enough sinus tension to function properly. As electronic devices become more power-sensitive, people are becoming increasingly interested in power conditioning solutions. Therefore, if the amount of electricity being generated falls below a certain threshold, some type of compensation must be provided. Unified Power Quality Controller (UPQC) is …
Published in Journal of Microwave Engineering and Technologies · Vol. 9, Issue 4, 2022 · pp. 52–60 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Postbiotics Unveiled: Mechanistic Insights and Therapeutic Implications in Obesity.
Abstract: The burgeoning global obesity epidemic necessitates innovative therapeutic approaches, and postbiotics, bioactive compounds arising from microbial fermentation, have emerged as promising contenders in reshaping obesity management. This comprehensive review explores the multifaceted mechanisms by which postbiotics impact obesity, from modulating gut microbiota composition to influencing metabolic pathways and enhancing energy expenditure. The exploration of postbiotics is rooted in a deeper understanding of the gut–brain axis and bidirectional communication between gut …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 1, 2026 · pp. 11–28 Read article
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Improved Unified Power Quality Conditioner Design and Numerical Simulation For Power Quality Improvement
Abstract: Harmonic currents can distort the waveform voltage, resulting in a weak signal. There is also an increase in the number of loads requiring enough sinus tension to function properly. As electronic devices become more power-sensitive, people are becoming increasingly interested in power conditioning solutions. Therefore, if the amount of electricity being generated falls below a certain threshold, some type of compensation must be provided. Unified Power Quality Controller (UPQC) is …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 3, 2021 · pp. 52–60 Read article
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A Review on Enhanced Social Awareness Development
Abstract: The research question of how social awareness support in computer systems for groups and communities can be designed in a successful way. While the field of human-computer interaction has been working with similar questions for more than 20 years, many aspects of people’s cooperation and the way those should be considered in system design still need further consideration and research. The paper presents a number of projects where systems for …
Published in Journal of Open Source Developments · Vol. 5, Issue 2, 2018 · pp. 31–36 Read article
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Feasibility Study of using Electric Down-hole Heating to Improve the Productivity for a Heavy Oil Field
Abstract: The largest hydrocarbon reserves around the world are mostly heavy oils. Electrical Down-hole Heating (EDH) is a widely used technique for heavy oil production; when it is combined with Enhanced Oil Recovery (EOR) methods, it can overcome its limitations. Considering limited previous studies for the designing of EDH for Sudanese fields, this paper presented the feasibility of using this system by simulating the actual well situation and provided several scenarios …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 52–68 Read article
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Node MCU-based Obstacle Avoiding Car
Abstract: The utilization of autonomous technology for performing important tasks is increasing due to its high efficiency and reliability. Our proposed autonomous vehicle is designed to be equipped with the capability to detect obstacles in its path, adjust its route to avoid any potential collisions, and eventually reach its destination. The ultrasonic sensors play a crucial role in this setup by providing the vehicle with the necessary information to detect obstacles …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 9, Issue 3, 2022 · pp. 23–29 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 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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The Role of Gut Microbiota in the Health Effects of Fermented Dairy Products
Abstract: The human gut microbiota plays a crucial role in maintaining physiological health, influencing digestion, metabolism, immune function, and even mental well-being. Among dietary interventions aimed at modulating gut microbiota, fermented dairy products have emerged as particularly promising due to their rich content of live microorganisms, bioactive compounds, and nutrients. This review explores the intricate interactions between fermented dairy products and the gut microbiota, highlighting their potential health benefits and underlying …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 2, 2025 · pp. 5–10 Read article
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Intelligent Failure Detection in Biomedical Composite Materials Using Machine Vision
Abstract: The biomedical composite materials are intelligent failure-detecting, which is necessary to ensure the reliability, safety, and durability of the current healthcare equipment. This paper describes a machine vision design, which incorporates convolutional neural networks, transformer models, and ensemble learning to correctly detect and localize material defects. The proposed system takes advantage of the capabilities of high-resolution imaging, advanced preprocessing software, and deep feature learning in the identification of the intricate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Classification of Mammogram Images by Machine Learning Algorithm Attacker Nodes
Abstract: Abstract— Breast cancer is basic in ladies' these days. In beginning when cells in the breast start to develop out of control. These cells generally structure a tumor that will frequently be seen on a x-beam or felt as a lump. Cells in almost any piece of the body can move toward becoming malignant growth and can spread to different regions of the body. There are very nearly 6 phases …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 2, 2019 · pp. 1–10 Read article
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Twisting, Super Twisting and Adaptive Algorithm Sliding Mode Controller for Second Order Time Delay Systems
Abstract: The sliding mode control approach is widely considered as one of the most effective methods for designing a reliable controller for a complicated higher-order dynamic plant operating under uncertainty. The primary advantages of sliding mode is its low sensitivity to changes in plant parameters and the ability to entirely eliminate disruptions. Sliding mode control has been widely applied as a robust control design methodology that is completely insensitive to uncertainties, …
Published in Current Trends in Signal Processing · Vol. 11, Issue 4, 2021 · pp. 10–27 Read article
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Key Generation Algorithms Using Difference Equations with Multi-Precision Arithmetic: A Review
Abstract: Modern cryptographic systems rely on robust key generation to secure data and communication. This review explores the integration of difference equations and multi-precision arithmetic for cryptographic key generation, addressing limitations in traditional methods like pseudorandom number generators and chaotic systems. Difference equations produce deterministic yet chaotic sequences ideal for cryptography due to their sensitivity to initial conditions and nonlinearity. However, finite precision arithmetic can lead to periodicity and loss of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 3, 2024 · pp. 23–36 Read article
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Consumer Behavior Trends Supporting Green Marketing
Abstract: Growing environmental concerns and the increasing emphasis on sustainability have significantly influenced consumer preferences, leading to a noticeable shift toward eco-friendly products and the emergence of green marketing as a key strategic approach for businesses. The study aims at evaluating consumer behavior trends based on the concept of green marketing, including environment awareness, attitudes of the consumers and how it influences consumer buying behavior and confidence in green marketing claims. …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 16, Issue 2, 2026 · pp. 45–52 Read article
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Twisting, Super Twisting and Adaptive Algorithm Sliding Mode Controller for Second Order Time Delay Systems
Abstract: The sliding mode control approach is widely considered as one of the most effective methods for designing a reliable controller for a complicated higher-order dynamic plant operating under uncertainty. The primary advantages of sliding mode is its low sensitivity to changes in plant parameters and the ability to entirely eliminate disruptions. Sliding mode control has been widely applied as a robust control design methodology that is completely insensitive to uncertainties, …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 10–27 Read article
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Early Alzheimer's Disease Detection Using Deep Ensemble Learning and MRI Image Analysis
Abstract: Early detection of Alzheimer's disease (AD) is crucial to slowing cognitive decline and enabling timely clinical interventions. Traditional diagnostic methods, including cognitive tests and single-model classifiers, have limited sensitivity during early stages of the disease. This paper presents a deep ensemble learning approach that integrates multiple convolutional neural networks (CNNs) for accurate Alzheimer's disease detection using structural Magnetic Resonance Imaging (MRI) data. The proposed framework utilizes ResNet50, VGG16, and DenseNet121 …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 1–9 Read article
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Dielectric Breakdown and Electrical Aging of Insulating Polymer Materials in High Voltage Systems
Abstract: In this paper, a detailed analysis of dielectric breakdown and electrical aging behavior of high-voltage insulating polymer material has been proposed through sophisticated MATLAB simulation. The research involves electric field modeling, aging life prediction, partial discharge (PD) behavior and uncertainty modeling using Monte Carlo analysis. Electric field hotspots causing critical behavior, sensitivity of the lifespan to electric stress, and the stochastic PD build-up allow predictive diagnostics of the health of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 173–187 Read article