22,986 research outputs found

    Energy-dependent relative charge transfer cross sections of Cs+ + Rb(5s, 5p)

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    Magneto optical trap recoil ion momentum spectroscopy is used to measure energy-dependent charge exchange cross sections in the Cs+ + Rb(5s, 5p) system over a range of projectile energies from 3.2 to 6.4 keV. The measurements are kinematically complete and yield cross sections that are differential in collision energy, scattering angle, and initial and final states

    Wearable Sensor Data Based Human Activity Recognition using Machine Learning: A new approach

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    Recent years have witnessed the rapid development of human activity recognition (HAR) based on wearable sensor data. One can find many practical applications in this area, especially in the field of health care. Many machine learning algorithms such as Decision Trees, Support Vector Machine, Naive Bayes, K-Nearest Neighbor, and Multilayer Perceptron are successfully used in HAR. Although these methods are fast and easy for implementation, they still have some limitations due to poor performance in a number of situations. In this paper, we propose a novel method based on the ensemble learning to boost the performance of these machine learning methods for HAR

    The brezis-ekeland-nayroles minimization principle with mixed finite element method for elastoplastic dynamic problems

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    We propose a modification of the Hamiltonian formalism which can be used for dissipative systems, the Brezis-Ekeland-Nayroles principle. The formalism is specialized to the standard plasticity in small strains and dynamics. We apply it to solve the classical problem of a thin tube in plane strain subjected to an internal pressure. The continuum is discretized with mixed finite elements

    Minimum-fuel aeroassisted coplanar orbit transfer using lift-modulation

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76271/1/AIAA-19945-331.pd

    Minimum-fuel aeroassisted coplanar orbit transfer using lift-modulation

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76954/1/AIAA-1983-2094-112.pd

    Optimal plane change during constant altitude hypersonic flight

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76559/1/AIAA-1988-4341-460.pd

    Orbital changes during hypersonic aerocruise

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    Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/76648/1/AIAA-1987-2564-435.pd

    Resolution in Linguistic Propositional Logic based on Linear Symmetrical Hedge Algebra

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    The paper introduces a propositional linguistic logic that serves as the basis for automated uncertain reasoning with linguistic information. First, we build a linguistic logic system with truth value domain based on a linear symmetrical hedge algebra. Then, we consider G\"{o}del's t-norm and t-conorm to define the logical connectives for our logic. Next, we present a resolution inference rule, in which two clauses having contradictory linguistic truth values can be resolved. We also give the concept of reliability in order to capture the approximative nature of the resolution inference rule. Finally, we propose a resolution procedure with the maximal reliability.Comment: KSE 2013 conferenc

    Sound-Dr: Reliable Sound Dataset and Baseline Artificial Intelligence System for Respiratory Illnesses

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    As the burden of respiratory diseases continues to fall on society worldwide, this paper proposes a high-quality and reliable dataset of human sounds for studying respiratory illnesses, including pneumonia and COVID-19. It consists of coughing, mouth breathing, and nose breathing sounds together with metadata on related clinical characteristics. We also develop a proof-of-concept system for establishing baselines and benchmarking against multiple datasets, such as Coswara and COUGHVID. Our comprehensive experiments show that the Sound-Dr dataset has richer features, better performance, and is more robust to dataset shifts in various machine learning tasks. It is promising for a wide range of real-time applications on mobile devices. The proposed dataset and system will serve as practical tools to support healthcare professionals in diagnosing respiratory disorders. The dataset and code are publicly available here: https://github.com/ReML-AI/Sound-Dr/.Comment: 9 pages, PHMAP2023, PH
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