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1023 articles for “robustness”
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Enhancing Secure Communication Through Hybrid Steganography and Public Key Cryptography
Abstract: This research pioneers an innovative paradigm in secure data communication by seamlessly merging Public Key Digital Image Steganography with public key cryptography. The proposed method leverages the formidable strength of the RSA algorithm, employing a robust 1024-bit key size for secure data encryption. In parallel, the imperceptibility of the F5 steganographic technique is harnessed to clandestinely embed the encrypted message within a cover image. Unlike conventional methods, our scheme introduces …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 3, 2023 · pp. 38–46 Read article
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Design of Ultra-Low-Power Robust SRAM Cell
Abstract: SRAM is designed to provide an interface with CPU and to replace DRAMs in systems that require very low power consumption. Low power SRAM design is crucial since it takes a large fraction of total power and die area in high-performance processors. An SRAM cell must meet the requirements for the operation in submicron/nano ranges. The scaling of CMOS technology has significant impacts on SRAM cell random fluctuation of electrical …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 21, Issue 2, 2019 · pp. 7–18 Read article
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Moral Myopia: A Need of an Hour to Robust Our Social Setup
Abstract: The present paper is made to highlight the need of getting aware of Moral Myopia. It is defined as the inability to see social ethics. Some people neglect what happens around them if it is none of their concern and mostly ignores injustice and unethical chores. Also, they don’t indulge in any social cause until and unless it leads to their self-interest which is one of the biggest problems we …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 12, Issue 03, 2022 · pp. 28–34 Read article
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Attention-Enhanced YOLO Framework for Robust Real-Time Object Detection in Autonomous Driving Environments
Abstract: Accurate object detection is essential for autonomous driving systems, where vehicles must continuously perceive surrounding road users and infrastructure in real time. Although the You Only Look Once (YOLO) family of deep learning detectors has achieved significant success due to its high speed and efficiency, detecting small or partially occluded objects in complex traffic environments remains challenging. This paper presents an attention-enhanced YOLO framework designed to improve feature representation and …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 41–52 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 4, 2021 · pp. 10–27 Read article
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Advanced Control Techniques: Super-twisting Controller Applications and Insights
Abstract: Sliding mode control (SMC) provides robust control for uncertain systems. This study focuses on the Super-Twisting Controller (STC), a powerful SMC technique known for its finite-time convergence and robustness. Its importance is to provide chatter-free control and robustness against uncertainty, and make it suitable for systems with nonlinear dynamics and disturbances. The advantages of STC are faster speed, more accurate control actions, and enhanced system stability, though may require careful …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 2, 2024 · pp. 1–7 Read article
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A Survey of Secure Transmission of Digital Watermarking Based on the Hybrid of DCT and 2DWT
Abstract: Image watermarking has become very necessary and very important aspects in the field to protect our originality, authentication, security towards the unauthorized users over the internet. Digital watermarking is a vital method to hide our copyright protection to our secret messages that are inbuilt in any images, audio or any image sources. Some of the digital watermarking is to be intended with the frequency domain for the better robustness of …
Published in Journal of Open Source Developments · Vol. 2, Issue 3, 2015 · pp. 20–26 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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Development of a Durable Superhydrophobic EP/PDMS Coating Reinforced with Micro-CaCO₃ and Nano-ZnO for Enhanced Corrosion Protection and Multifunctional Performance on Carbon Steel
Abstract: Balancing exceptional multifunctional performance with mechanical robustness in micro-nano composite films remains a significant challenge for practical applications. In this work, a superhydrophobic coating reinforced with micro-CaCO₃ and nano-ZnO particles was fabricated through a versatile single-step brushing method. The optimized EP/PDMS@micro-CaCO₃/nano-ZnO coating achieved a water contact angle (WCA) of 173.54° ± 2.53° and a sliding angle (SA) of 1.50° ± 1.12°. Owing to its carefully engineered micro-nano hierarchical structure, the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 216–238 Read article
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Model based Tuning of PID Controller
Abstract: In this paper PID controller with Internal Model Control tuning method (IMC-PID) is presented for robust operation. The implementation of IMC is simplified in large class of industrial applications as the process dynamics can be adequately characterized by a First Order plus Delay Time (FOPDT) model. Tuning of the controller is easily done by adjusting the filter time constant which provides improved performance and robustness of the closed loop system. …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 16–22 Read article
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Content-based Image Retrieval using SURF Feature Point Descriptor and Local Binary Pattern with Color Histogram
Abstract: An important research issue in multimedia technology is the retrieval of similar objects. Most of the content-based image retrieval (CBIR) uses the low-level features such as color, shape and texture to extract the features from the images. A short time ago, the interest points are used to extract the most relevant images with different view point and transformations. Speed up Robust Feature (SURF) is robust and fast interest points detector/descriptor …
Published in Journal of Open Source Developments · Vol. 2, Issue 2, 2015 · pp. 9–15 Read article
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Some Aspects of the Vagaries in the Pattern of Meteorological Parameters in the State of Rajasthan in Association with the LULC Change
Abstract: Present work examined the role of the change in land use and land cover (LULC) in altering the rainfall and temperature pattern over the western part of the Rajasthan, India. For this purpose, the high-resolution gridded rainfall and surface temperature data sets prepared by IMD (India Meteorological Department) and Climatological Research Unit Time Series (CRU TS 3.21) have been utilized. An increase in surface temperature and decrease in rainfall for …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 1, 2017 · pp. 53–65 Read article
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Performance Analysis of Hierarchical and Non Hierarchical Clustering Techniques
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 Read article
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Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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NeuroSight: AI-Powered Vision Enhancement for the Visually Impaired
Abstract: Visual impairment has long been a significant challenge, affecting a person’s ability to move independently, understand their surroundings, and perform everyday activities safely. Although considerable progress has been made in the development of assistive technologies, many existing solutions still face practical limitations. These include inconsistent performance in real-world environments, high power consumption, dependence on external computing resources, and limited ability to adapt to dynamic and rapidly changing surroundings. To address …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 2, 2025 · pp. 25–33 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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A Novel Clustering Techniques Evaluation using Monte Carlo Simulation
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article
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Improving Reliability of Deep Learning System Under Distribution Shift Via Feature-Space Out-of-Distribution Detection
Abstract: Deep learning systems achieve strong predictive performance under independently and identically distributed conditions; however, their reliability can decline significantly when exposed to distribution shifts during deployment. This decline is often accompanied by overconfident predictions, which can introduce serious risks in safety-critical applications. In this work, we explore whether explicitly modeling the structure of the latent feature space can improve reliability through more effective out-ofdistribution detection. A statistically grounded framework based …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 66–76 Read article