Risk assessment is a crucial component of collision warning and avoidance systems for intelligent ***-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle ***,the...
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Risk assessment is a crucial component of collision warning and avoidance systems for intelligent ***-based formal approaches have been developed to ensure driving safety to accurately detect potential vehicle ***,they suffer from over-conservatism,potentially resulting in false–positive risk events in complicated real-world *** this paper,we combine two reachability analysis techniques,a backward reachable set(BRS)and a stochastic forward reachable set(FRS),and propose an integrated probabilistic collision–detection framework for highway *** this framework,we can first use a BRS to formally check whether a two-vehicle interaction is safe;otherwise,a prediction-based stochastic FRS is employed to estimate the collision probability at each future time ***,the framework can not only identify non-risky events with guaranteed safety but also provide accurate collision risk estimation in safety-critical *** construct the stochastic FRS,we develop a neural network-based acceleration model for surrounding vehicles and further incorporate a confidence-aware dynamic belief to improve the prediction *** experiments were conducted to validate the performance of the acceleration prediction model based on naturalistic highway driving *** efficiency and effectiveness of the framework with infused confidence beliefs were tested in both naturalistic and simulated highway *** proposed risk assessment framework is promising for real-world applications.
In thin steel plate production lines, contact conveying by rollers is used, which sometimes results in scratches and plating defects on the steel plate surface. To solve this problem, non-contact conveyance by magneti...
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This paper presents the degenerate kernels for the polyharmonic and poly-Helmholtz partial differential operators in the polar and spherical coordinates. These degenerate kernels are essential if the analytical/semi-a...
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To foster inclusivity and increase diversity in Science, Technology, engineering, and Mathematics (STEM) education, ErgoNomiCs and Human-Automation iNteracTion (ENCHANT) summer camp was hosted at the University of Mic...
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The development of Integrated Enset processing technology is significant for the easy availability of stable food in the current condition for fulfilling the pangs of hunger in Ethiopia, currently; individual manual t...
The development of Integrated Enset processing technology is significant for the easy availability of stable food in the current condition for fulfilling the pangs of hunger in Ethiopia, currently; individual manual technologies such as decortication, corm granting, bulla extraction, and fermenting techniques eventually contribute to utilizing food security such as Kocho, which is not affordable for the marginal farmers of Ethiopia. However, there is a lack of integrated compromise of the all-function process of corm granting, decortication, and pulverization in one machine wholesome of the product such as Kocho, and bulla within consuming time and labor. Therefore, it is decided to design and develop an integrated enset processing machine for central high land of Ethiopian farmers with high-quality production. The physical and mechanical properties of the enset is studied to get an efficient and robust design of the various components. The overall design and development of proposed machine components were carried out at Adama Science and Technology University, Ethiopia by using ANSYS 2023 R1 software by considering the engineering economics and material specifications as per ASTM standards. The process parameters of the proposed machine are identified as feed rate, drum speed, concave to drum clearance, power requirement, etc. Also, the enset characteristics were considered as decorticating and granting, fiber cutting resistance, fiber length, dimension, shape, and weight. The overall developed enset integrated machine assembles are analyzed for granting and decorticating with drum clearance and bulla extraction throughput capacity, reliability, simplicity, safety, and overall cost. The machine's safety from a Design Perspective is checked and validated by a simulation study on the critical parts subjected to higher stresses. The cost of available individual decorticators, granting, pulverized, and bulla squeezer machines is costly to the farmer’s community. Theref
Vibration exciters are of most important units of any vibratory equipment defining its design peculiarities, operational features, functional purpose, and performance characteristics. Among a great variety of vibratio...
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Sign language recognition involves modeling complex multichannel information, such as hand shapes and movements, while relying on sufficient sign language-specific data. However, sign languages are often under-resourc...
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Sign language recognition involves modeling complex multichannel information, such as hand shapes and movements, while relying on sufficient sign language-specific data. However, sign languages are often under-resourced, posing a significant challenge for research and development in this field. To address this gap, we introduce ISLR101, the first publicly available Iranian Sign Language dataset for isolated sign language recognition. This comprehensive dataset includes 4,614 videos covering 101 distinct signs, recorded from 10 different signers (3 deaf individuals, 2 sign language interpreters, and 5 L2 learners) against varied backgrounds, with a resolution of $800\times 600$ pixels and a frame rate of 25 frames per second. It also includes skeleton pose information extracted using OpenPose. We establish both a visual appearance-based and a skeleton-based framework as baseline models, thoroughly training and evaluating them on ISLR101. These models achieve 97.01% and 94.02% accuracy on the test set, respectively. Additionally, we publish the train, validation, and test splits to facilitate fair comparisons.
Cell separation using microfluidics has become an effective method to isolate biological contaminants from bodily fluids and cell cultures,such as isolating bacteria contaminants from microalgae cultures and isolating...
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Cell separation using microfluidics has become an effective method to isolate biological contaminants from bodily fluids and cell cultures,such as isolating bacteria contaminants from microalgae cultures and isolating bacteria contaminants from white blood *** this study,bacterial cells were used as a model contaminant in microalgae culture in a passive microfluidics device,which relies on hydrodynamic forces to demonstrate the separation of microalgae from bacteria contaminants in U and W-shaped cross-section spiral microchannel fabricated by defocusing CO_(2) laser *** a flow rate of 0.7 ml/min in the presence of glycine as bacteria chemoattractant,the spiral microfluidics devices with U and W-shaped cross-sections were able to isolate microalgae(Desmodesmus sp.)from bacteria(***)with a high separation efficiency of 92%and 96%*** the same flow rate,in the absence of glycine,the separation efficiency of microalgae for U-and W-shaped cross-sections was 91%and 96%,*** was found that the spiral microchannel device with a W-shaped cross-section with a barrier in the center of the channel showed significantly higher separation *** microchannel chips with U-or W-shaped cross-sections were easy to fabricate and exhibited high *** these advantages,these devices could be widely applicable to other cell separation applications,such as separating circulating tumor cells from blood.
Oxyfuel combustion is considered to be one of the most effective methods to improve thermal efficiency for high temperature processes such as boiler water of steam power plant. In the oxyfuel combustion, the combustio...
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