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937 articles for “system adaptability”
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Fabrication of Adaptive Headlamp System
Abstract: According to National Highway Transportation Safety Administration (NHTSA), the percentage of deaths of the pedestrian is high between the hours of 6 pm. to 9 pm. Due to insufficient light conditions. Looking at the current condition it is of great importance to use available techniques to contribute to road safety by increasing the visual image provided by currently used vehicle headlights. The feature of these headlamps is that they turn …
Published in Journal of Production Research & Management · Vol. 11, Issue 2, 2021 · pp. 34–42 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Enhancing Nursing Education Through AI-Driven Adaptive Learning Systems
Abstract: The integration of Artificial Intelligence (AI) in nursing education offers significant potential to enhance learning experiences by personalizing education, improving knowledge retention, and developing clinical competencies. This study evaluates the effectiveness of AI-driven adaptive learning systems compared to traditional lecture-based teaching methods in nursing education. A mixed-methods approach was used, with 200 nursing students participating in a quasi-experimental design. The intervention group (100 students) used AI-powered adaptive learning platforms for …
Published in Journal of Nursing Science & Practice · Vol. 15, Issue 2, 2025 · pp. 29–34 Read article
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PAPR Reduction for OFDM System Using Adaptive PTS Combined with Interleaving Technique
Abstract: Partial transmits sequence (PTS) is one of the methods used for reduction of the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing (OFDM) scheme. In this, as the number of sub-blocks and rotation factors increases PAPR is reduced. While increasing the number of subcarriers, the complexity exponentially increases and thus, there occurs the process delay. An adaptive PTS scheme collectively with localized and interleaving technique has been proposed in this …
Published in Recent Trends in Electronics Communication Systems · Vol. 2, Issue 3, 2015 · pp. 39–46 Read article
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Interference Reduction in DS-CDMA Systems Using Adaptive MMSE Technique
Abstract: Multiple access interference (MAI) limits the capacity of Direct Sequence Code Division Multiple Access (DS-CDMA) systems due to direct sequence of users. This paper examines interference reduction in Direct Sequence Code Division Multiple Access (DS-CDMA) system using Adaptive Minimum Mean Square Error (AMMSE). Much of the present research is aimed at finding an appropriate tradeoff between complexity and performance. Simulation results shows that the Adaptive MMSE is better performed than …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 1–7 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitates the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Radiation-Resilient AI: Next-Generation Robotic Systems with Adaptive Machine Learning for Nuclear Facility Management
Abstract: The increasing complexity of nuclear facility operations, decommissioning activities, and emergency response scenarios necessitate the development of advanced autonomous systems capable of functioning in highly radioactive environments. This paper presents a comprehensive review of radiation-resilient artificial intelligence systems integrated with next-generation robotic platforms, specifically designed for nuclear facility management applications. We examine the convergence of adaptive machine learning algorithms, radiation-hardened hardware architectures, and intelligent robotic systems that can operate autonomously …
Published in Journal of Thermal Engineering and Applications · Vol. 15, Issue 2, 2025 · pp. 12–21 Read article
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Finding The Most Sensitive Nodes on IEEE-14 Bus System and Adaptation of Protection Scheme
Abstract: Power system stability is one of the most significant concerns in power system. Providing continuous supply of electric energy to meet the load demand is a complex technical challenge. One of the main causes of voltage instability in a system is the occurrence of reactive power imbalance in the system. Reactive power will be unbalanced when there is a sudden increase or decrease in reactive power demand in the system. …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 50–56 Read article
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Microcontroller based Electrocardiography System with Adaptive Baseline Wander Removal
Abstract: In this paper an affordable, user-friendly, and re-programmable electrocardiography system is presented. The proposed system is based on open-source Arduino/Genuino platform which can be re-programmed and up-graded as per the requirement of the end user. This system has the facility to display, store and share the acquired data via internet with a cardiologist, for the remote assistance. The proposed system is equipped with an adaptive median filter based baseline wander …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 29–34 Read article
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Modeling and Simulation of a Hybrid Solar-Wind System with Adaptive Neural Network MPPT Control in MATLAB/SIMULINK
Abstract: Over the last ten years, there has been an increasing demand for the electrical powersupply. The installation of power generators (PGs) is expensive and time-consuming. Solar powerplants are therefore thought to be a practical substitute for supplying the present demand forelectricity. The primary challenges with solar plants, however, are output power balancing andcritical maintenance. A proper technique is needed to lessen output power balance andmaintenance issues in solar facilities. For …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 2, 2023 · pp. 53–61 Read article
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Adaptive Traffic Control Systems: Enhancing Urban Mobility through Real-Time Traffic Management
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These devices dynamically modify signal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 37–45 Read article
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Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
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Implementation of Adaptive Control Braking System for Collision-free Driving on Virtual Instrumentation Platform
Abstract: An unaccustomed driver not always has a sound judgment of the surrounding traffic and frequently depresses the brake pedal, causing a poor, jerky drive. Hence, nowadays in high-end cars to provide comfort to passengers while applying sudden brakes without jerks and also in time to avoid collision the adaptive control braking system is used. The main objective of this research study is to automatically monitor the braking force required to …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 50–57 Read article
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Breaking Deadlocks: A Novel Method for Dynamic Deadlock Resolution in Concurrent Systems
Abstract: It is known that deadlock is one of the major challenges in concurrent systems, as sometimes this deadlock may lead to system failure as well as performance degradation. Traditional deadlock handling methods, for example, deadlock detection and prevention, have several limitations for systems that have a dynamic nature in which the structure of the system and the resource requirements change over time. In this article, we present a novel technique …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 3, 2023 · pp. 29–35 Read article
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Adaptive Neuro-Fuzzy Inference System (ANFIS) Control for Total Harmonic Distortions Reduction of Multi-Pulse STATCOM
Abstract: In this paper proposed ANFIS System is adapted for controllable mitigation of Total harmonic distortions of STATCOM with Multiple pulse technology. Integrated power electronics device, Gate Turn Off (GTO) is used in switching mode with Voltage source convertor during application of distinct load conditions. The proportional and integrated Controller is replaced by a smart fuzzy logic controller that offers great support for harmonic mitigation by redefining the electrical magnitudes of …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 2, 2022 · pp. 17–31` Read article
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ADAPTIVE STREET ILLUMINATION SYSTEM WITH ENERGY HARVESTING
Abstract: This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 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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Mobility for the Exceptionals: An Adaptable Electrified Transportation System for Manual Wheelchair
Abstract: The survey for the prevalence of handicapped people in India reveals that approximately 4.52% of India’s total population is physically challenged. Among the list, about 44% of people suffer from locomotor disability. Satisfaction of their primary need will be fulfilled when they get aid to move but the main problem is that about 31% of India’s population belongs to middle class or lower middle class. Their wish to buy an …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 21–25 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Website Usability Using AI
Abstract: This article introduces a comprehensive framework that leverages artificial intelligence (AI), automated tools, and APIs to enhance the evaluation of website usability. The proposed framework integrates AI-driven models with traditional usability assessment techniques to create a more dynamic and effective evaluation process. Specifically, it utilizes Google Lighthouse to conduct in-depth audits on website performance, search engine optimization (SEO), and accessibility. Additionally, chatbot APIs are incorporated to gather real-time user feedback, …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 2, 2025 · pp. 19–27 Read article