Although gate assignment may appear to be a relatively straightforward process, it represents a significant challenge due to the inherent uncertainties. Despite the extensive research conducted on the gate assignment,...
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Over the past few decades, mortality rates associated with air quality pollution have risen in numerous countries around the globe. This pollution stems from different factors such as meteorological conditions, human ...
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Human Activity Recognition(HAR)in drone-captured videos has become popular because of the interest in various fields such as video surveillance,sports analysis,and human-robot ***,recognizing actions from such videos ...
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Human Activity Recognition(HAR)in drone-captured videos has become popular because of the interest in various fields such as video surveillance,sports analysis,and human-robot ***,recognizing actions from such videos poses the following challenges:variations of human motion,the complexity of backdrops,motion blurs,occlusions,and restricted camera *** research presents a human activity recognition system to address these challenges by working with drones’red-green-blue(RGB)*** first step in the proposed system involves partitioning videos into frames and then using bilateral filtering to improve the quality of object foregrounds while reducing background interference before converting from RGB to grayscale *** YOLO(You Only Look Once)algorithm detects and extracts humans from each frame,obtaining their skeletons for further *** joint angles,displacement and velocity,histogram of oriented gradients(HOG),3D points,and geodesic Distance are *** features are optimized using Quadratic Discriminant Analysis(QDA)and utilized in a Neuro-Fuzzy Classifier(NFC)for activity ***-world evaluations on the Drone-Action,Unmanned Aerial Vehicle(UAV)-Gesture,and Okutama-Action datasets substantiate the proposed system’s superiority in accuracy rates over existing *** particular,the system obtains recognition rates of 93%for drone action,97%for UAV gestures,and 81%for Okutama-action,demonstrating the system’s reliability and ability to learn human activity from drone videos.
Understanding the impact of precipitates on the mechanical behavior of material is crucial for effective material design and application. This research focuses on AISI 420 stainless steel, characterized by a ferritic ...
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Understanding the impact of precipitates on the mechanical behavior of material is crucial for effective material design and application. This research focuses on AISI 420 stainless steel, characterized by a ferritic matrix with dispersed carbides in its annealed state. This study employs a multiphase crystal plasticity (CP) model to systematically investigate the influence of variations in carbide characteristics, including their fraction at grain boundaries (GBs), number, average size, and volume fraction, on multiscale mechanical behavior. The workflow includes generating representative volume elements (RVEs) from the microstructure of the as-received AISI 420 steel, calibrating constitutive parameters within the CP model, and validating the CP-RVE model against experimental textures and mechanical properties. A novel method is introduced to capture anisotropic behavior by accurately replicating the experimental approach. Subsequently, diverse RVEs are generated by modifying carbide characteristics to evaluate their impact on stress-strain curves, anisotropic behavior, and micromechanical interactions, while preserving the characteristics of ferrites. The results are compared with experiments and theoretical insights. The findings reveal that an increase in either the fraction of carbides at GBs or the carbide volume fraction enhances the steel's strength. Empirical equations are derived to predict these effects on mechanical properties efficiently. Moreover, increasing the carbide volume fraction leads to more inhomogeneous strain and stress distributions in both carbides and ferrites, while reducing anisotropy (Lankford coefficient). This study highlights the potential of the CP-RVE model as a tool for exploring macroscale behavior and studying the influence of microstructural features.
Unidirectional chargers, valued for their simplicity and cost-effectiveness, are widely deployed. In contrast, bidirectional chargers enable advanced functionalities such as Vehicle-to-Grid (V2G) and Vehicle-to-Home (...
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Gene expression is regulated by chromatin architecture and epigenetic remodeling in cell homeostasis and *** modifications act as the key factors to modulate the chromatin *** histone modifications are strongly associ...
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Gene expression is regulated by chromatin architecture and epigenetic remodeling in cell homeostasis and *** modifications act as the key factors to modulate the chromatin *** histone modifications are strongly associated with the localization of *** primarily localizes at the nuclear periphery,where it interacts with lamina proteins to suppress gene *** this review,we summarize the potential bridges that have regulatory functions of histone modifications in chromatin organization and transcriptional regulation at the nuclear *** use lamina-associated domains(LADs)as examples to elucidate the biological roles of the interactions between histone modifications and nuclear lamina in cell differentiation and *** the end,we highlight the technologies that are currently used to identify and visualize histone modifications and LADs,which could provide spatiotemporal information for understanding their regulatory functions in gene expression and discovering new targets for diseases.
Theadvancementofdigital microfluidics technology has been pivotal in academic research andengineering ***,the prevailing limitation is that traditional voltage sources generate an excess of Joule heat,adversely impact...
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Theadvancementofdigital microfluidics technology has been pivotal in academic research andengineering ***,the prevailing limitation is that traditional voltage sources generate an excess of Joule heat,adversely impacting droplet ***,the power supply equipment required by digital microfluidics limits its ***,we propose a self-powered microdroplet manipulation(SMDM)via triboelectric nanogenerator(TENG),which presents a capability for spliting and mixing different kinds of ***,SMDM is based on the electroosmotic flow principle,thereby enabling droplet spliting in the range of from 2 to 630μ***,for droplet spliting in the range of from 5 to 60μL,the TENG only requires a power output ranging from 2.704 to 6.084 *** addition,SMDM demonstrates proficiency in droplet mixing,which achieves complete mixing of 10μL droplets in 60 s and 30μL droplets in a mere 53 ***,leveraging the strengths of the TENG,a self-powered microdroplet manipulated system is designed for digital *** carries significant advantages over the traditional voltage source,including self-powered,low-Joule heat,increased safety and enhanced *** research provides a new solution for portable applications of digital microfluidics.
This research proposes an approach for recognizing facial expressions for complex emotion estimation through the utilization of generated facial images. The proposed approach consists of two main parts: facial image g...
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In this study, we explore the enhancement of stability in a four-machine power system through the optimized tuning of Tilt-Integral-Derivative Power System Stabilizer (TID-PSS) parameters. We introduce a novel applica...
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We report on the design, development and prototype testing of gensimo (GENeric Social Insurance MOdeling), a free and open-source software framework for modelling and simulation of social insurance systems. We discuss...
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