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1023 articles for “robustness”
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A Detailed Review on Intelligent and Robust Control Strategies for Autonomous Underwater Vehicles with Emphasis on Navigation, Path Tracking, and Stability Enhancement
Abstract: Autonomous Underwater Vehicles (AUVs) have gained significant attention due to their applications in ocean exploration, underwater surveillance, environmental monitoring, and offshore industries. The control of AUVs presents various challenges due to the highly dynamic and uncertain underwater environment, nonlinear hydrodynamics, and external disturbances. This review paper explores various control strategies employed for AUVs, including classical control methods such as Proportional-Integral-Derivative (PID) controllers, modern techniques like Model Predictive Control (MPC), and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 28–52 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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Adaptive Robust Constraint-Based Nonlinear Control for Trajectory Tracking and Dynamic Obstacle Avoidance in Multi-copter UAVs
Abstract: An adaptive robust nonlinear control system for multi-copter unmanned aerial vehicles (UAVs) trajectory tracking and obstacle avoidance is presented in this research. The suggested approach addresses nonlinear dynamics and environmental uncertainties by combining adaptive disturbance estimates with constraint-based control. Nonlinear differential equations are used to simulate the motion of the UAV, with obstacle avoidance represented as an inequality constraint and trajectory tracking as an equality constraint. The Udwadia–Kalaba method is …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 01–08 Read article
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Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State and Blowing an Alarm
Abstract: AbstractDriver's deficiency is one of the significant purposes behind car crashes, especially for drivers of wide vehicles, (for example, transports and overwhelming trucks) in perspective of conceded driving periods and fatigue in working conditions. In this paper, we propose a dream based exhaustion recognizing confirmation structure for transport driver watching, which is clear and flexible for sending in transports and critical vehicles. The structure contains modules of head-bear unmistakable evidence, …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 34–43 Read article
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Robust Color Image Watermarking using Biometric Protection and Image Authentication Key
Abstract: In recent days, it becomes difficult to provide protection to color images which were captured by modern capturing devices. This paper presents a novel work on copyright protection by providing authentication process for extraction of watermark of color still images. New blind frequency domain non-correlation based watermarking algorithm using one dimensional Walsh coding technique is introduced to improve the robustness. The developed algorithms do not required the original image for …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 15–23 Read article
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Secure Snap: Fortifying Image Preservation with a Robust Backup System
Abstract: The importance of implementing a robust backup system lies in preserving critical files against unforeseen events such as system crashes, hardware failures, or natural disasters. Data security plays a pivotal role in safeguarding confidential and vital information. Therefore, it is imperative for backup systems to prioritize security measures. Encryption emerges as a widely adopted method in today's industry to ensure data confidentiality. This project presents a novel computer software that …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 1, 2023 · pp. 17–22 Read article
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Robust Design of Damping Controller for Power System using a combination of Flower Optimization algorithm and Optimal Control Theory
Abstract: The power system experience low frequency oscillations due to various disturbances. It is verynecessary to damp these oscillations else it will endanger the system security and stability. High gainand fast acting excitation systems do not provide the necessary damping torque and it can provide thesufficient synchronising torque only. Lack of damping torque causes the oscillations of generator rotor,So, Power system stabilizer (PSS) is used in the proposed work along with …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 3, 2021 · pp. 15–24 Read article
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Digital Watermark Image Perform on Arnold-DWT-SVD Scheme Has Proved a High Degree of Robustness: A Review
Abstract: AbstractDigital communication plays an important function within the international level of internet as well as within the communication technology. The secrecy of the communication is an essential part of passing the data or information. Digital watermarking (DW) has ended up a promising research place to stand the demanding situations created via the rapid increase in distribution of digital content over the net. To prevent misuse of the facts, DW strategies …
Published in Journal of Open Source Developments · Vol. 4, Issue 1, 2017 · pp. 21–29 Read article
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A New Robust and High-Performance Sub-threshold XOR/XNOR Circuit
Abstract: This paper proposes an efficient 5-Transistor XOR/XNOR circuit. The proposed circuit exhibits higher performance, lower power dissipation and power-delay product (PDP). The proposed design is compared with existing XOR/XNOR circuits for sub-threshold operation. It offers 1.31 × improvement in delay and 1.28 × improvement in PDP compared to its counterpart. It proves its robustness by offering 2.27 × improvement in delay variability, 1.32 × improvement in power dissipation variability and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 1, Issue 1, 2014 · pp. 37–46 Read article
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An Alternative Robust Measure of Outlier Detection in Univariate Data Sets
Abstract: A univariate outlier is a data point that consists of an extreme value on one variable. Here we applied two types of outlier detection methods: one is graphical and another is analytical. This paper presents graphical methods for different statistical outlier detection such as scatter diagram, box plot and normal probability plot. Furthermore, the quantitative methods for outlier detection in this paper are the IQR method, SD method, Z-score method, …
Published in Research & Reviews : Journal of Statistics · Vol. 8, Issue 1, 2019 · pp. 1–11 Read article
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Future-proofing the Mind: Fostering Robust Innovation in Soft Computing and Computational Intelligence
Abstract: This study examines the impact of Computer Science (CS) and Soft Computing (SC) on a few scholarly disciplines and way of life. The study considers points to improve calculation execution by utilizing computational intelligence (CI) techniques, progressing the steadiness of statistical classification (SC) models, and optimizing them through algorithmic upgrades. These adjustments encourage the method of altering, selecting, and creating oneself, indeed in challenging circumstances. The effect on work, protection, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Robustness of Deepfake Detection Systems Against Adversarial Attacks
Abstract: This paper explores a deep learning system to detect deepfake videos, a common type of fake media. With the use of sophisticated methods such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs), our system can reliably discern between authentic and altered videos. It analyzes both the images and the audio in videos to find signs of deepfake manipulation. We process video frames and audio, extract features with CNNs …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 Read article
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Performance and Robustness of Wind Turbine Blades Composed of Recovered Waste Carpet Fiber Polymer Composites
Abstract: Carpets stay in good condition for ten to fifteen years, after which they wear out and are discarded. The large amount of used carpet waste is often dumped in landfills, causing health risks, air pollution, and other environmental problems. To reduce the growth of landfill sites, it is essential to implement recycling measures for carpet waste, protecting the environment by reusing these materials in new products. Carpet are made from …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 53–66 Read article
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Efficient Machine Defect Detection with Sugeno Fuzzy Membership and GRU Networks for Robust Industrial Automation
Abstract: Machine fault detection is of immense significance in industrial automation to achieve efficient operations, reduced downtime, and reduced economic losses. Sugeno fuzzy logic and Gated Recurrent Unit (GRU) networks are used in this research to provide a new hybrid solution that addresses problems such as noisy data, evolving defect patterns, and real-time detection. To improve readability and reliability, the Sugeno fuzzy logic unit preprocesses fuzzy and uncertain input data into …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 17–26 Read article
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Integrating RF Technologies for Robust Disaster Response and Recovery Systems
Abstract: In the aftermath of disasters, one of the greatest challenges is the failure of communication networks, which delays rescue operations and worsens human suffering. Radio Frequency (RF) technologies offer promising solutions as they enable wireless communication, sensing, and tracking without depending on fragile infrastructure. This paper presents a study of RF applications in disaster management and proposes a unique hybrid multi-layer framework that integrates environmental RF sensors, RFID-based tracking, drone-mounted …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 24–27 Read article
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Simulation of Robust Control System for Hydroelectric Power Plant
Abstract: In this study, the modelling of a typical hydroelectric power plant with a high-water head and a long penstock is developed and implemented in MATLAB/Simulink. The proposed simulation system's models are created in a sophisticated way to allow for easy reuse. To compute and simulate hydraulic transients, the nonlinear properties of the hydraulic turbine, such as the elasticity of the penstock and the water hammer effect, were taken into account. …
Published in Journal of Control & Instrumentation · Vol. 13, Issue 3, 2022 · pp. 37–50 Read article
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A Robust and Real Time Approach for Scene Text Localization and Recognition in Image Processing
Abstract: The text localization and recognition in real-time scene text images is still a big issue in current applications. Mobile application and digitization in real world gives a vital and broad impact on real-time scene text images. However, the efficiency of recognition rate depends upon the text localization, i.e., higher the purity of text background segmentation and decomposition, higher the rate of accuracy for the image recognition. In this paper is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 2, Issue 3, 2015 · pp. 16–22 Read article
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Optimization of Process Parameters of an Induction Furnace for Aluminium 6061 using Robust Design Approach
Abstract: Electric induction furnaces are extensively used in the foundry industries for the preparation of alloys and metal castings. The induction furnace works on the principal of electromagnetic induction. Some of the applications of induction heating include heat treatment, melting, surface treatment and in food industry. The detailed study about the working of an induction furnace was done. The induction furnace procured by mechanical department of our college is made by …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 4, Issue 1, 2017 · pp. 6–12 Read article
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Robust Fruit/Vegetable Quality Assessment Using Nondestructive Textural Distortion Analysis
Abstract: A nondestructive approach for fruit quality assessment is outlined in this paper. An x-ray based image analysis for the internal quality assessment is presented. The quality assessment with external inspection is constraint only to the shape ,color and texture, the quality analysis for the internal effects were not possible. The Nondestructive approach using an x-ray image of a testing sample is processed, where the textural spectral variation and pattern distortion …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 5, Issue 2, 2018 · pp. 38–47 Read article