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    3/8/2017: Faculty Senate Meeting Agenda

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    11/22/2017: Faculty Senate Unapproved Meeting Minutes

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    Harmonic Forcing of a Two-Segment Euler-Bernoulli Beam

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    This study is on the forced motions of non-homogeneous elastic beams. Euler-Bernoulli theory is employed and applied to a two-segment configuration subject to harmonic forcing. The objective is to determine the frequency response function for the system. Two different solution strategies are used. In the first, analytic solutions are derived for the differential equations for each segment. The constants involved are determined using boundary and interface continuity conditions. The response, at a given location, can be obtained as a function of forcing frequency (FRF). The procedure is unwieldy. Moreover, determining particular integrals can be difficult for arbitrary spatial variations. An alternative method is developed wherein material and geometric discontinuities are modeled by continuously varying functions (here logistic functions). This results in a single differential equation with variable coefficients, which is solved numerically, for specific parameter values, using MAPLE®. The numerical solutions are compared to the baseline analytical approach for constant spatial dependencies. For validation purposes an assumed-modes solution is also developed. For a free-fixed boundary conditions example good agreement between the numerical methods and the analytical approach is found, lending assurance to the continuous variation model. Fixed-fixed boundary conditions are also treated and again good agreement is found

    Unveiling of the Chevy Volt 07

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    This is at an AutoDrive unveiling event on October 30, 2017. Pictured is the Chevy Volt car with a blue tarp being lifted by students.https://digitalcommons.kettering.edu/autodrive_gallery/1015/thumbnail.jp

    Why We Need Probability Distributions With Periodic Failure Rates In Reliability And Risk

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    We discuss situations in real life where probability distributions with periodic failure rates should be considered. This discussion leads us to a new class, called Almost-Lack-of-Memory (ALM) probability distributions. We explain the structure of these distributions, and list some of their important properties. One of the main properties is its periodic failure rate. Throughout this article we notice some areas of possible applications of these distributions, and relate applications to the properties of these distributions. However, periodic variability also is observed. This may be another interesting continuation of this study

    Local Dependence Structure of the Bivariate Normal Distribution

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    In several previous publications we developed an idea how probability tools can be used to measure strength of dependence between random events. In this talk we use it for measuring magnitude of local dependence inside the normally distributed random variables, using the regression coefficients in case of random events. Short illustrations (graphics and tables) are showing the use of these measures in already known popular Bivariate Normal distribution with different correlation values

    Kettering Team posing at SAE World Congress AutoDrive Announcement

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    The team from Kettering University standing next to an autonomous vehicle (prototype?) at the SAE World Congress 2017.https://digitalcommons.kettering.edu/autodrive_gallery/1004/thumbnail.jp

    Unveiling of the Chevy Volt 08

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    This is at an AutoDrive unveiling event on October 30, 2017. Pictured is the Chevy Volt car and tarp is finished being lifted by students, front view.https://digitalcommons.kettering.edu/autodrive_gallery/1016/thumbnail.jp

    Effect of Control-Display Gain and Mapping and Use of Armrests on Accuracy in Temporally Limited Touchless Gestural Steering Tasks

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    Touchless gestural controls are becoming an important natural input technique for interaction with emerging virtual environments but design parameters that improve task performance while at the same time reduce user fatigue require investigation. This experiment aims to understand how control-display (CD) parameters such as gain and mapping as well as the use of armrests affect gesture accuracy in specific movement directions. Twelve participants completed temporally constrained two-dimensional steering tasks using free-hand fingertip gestures in several conditions. Use of an armrest, increased CD gain, and horizontal mapping significantly reduced success rate. The results show that optimal transfer functions for gestures will depend on the movement direction as well as arm support features

    High Temperature Spin-glass-like Transition in La0.57Sr0.33MnO3 Nanofibers near the Curie Point

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    The glassy transition of superparamagnetic (SPM) (r \u3c r0) nanoparticle systems usually occurs at a very low temperature that greatly limits its application to high temperatures. In this work, we report a spin-glass-like (SGL) behavior near the Curie point (TC), i.e., T0 = 330 K, in La0.67Sr0.33MnO3 (LSMO) nanofibers (NFs) composed of nanoparticles beyond the SPM size (r ≫ r0), resulting in a significant increase of the glass transition temperature. This SGL transition near the TC of bulk LSMO can be explained to be the scenario of locally ordered clusters embedded in a disordered host, in which the assembly of nanoparticles has a magnetic core–shell model driven by surface spin glass. The presence of a surface spin glass of nanoparticles was proved by the Almeida–Thouless line δTf ∝ H2/3, exchange bias, and reduced saturation magnetization of the NF system. Composite dynamics were found – that is, both the SPM and the super-spin-glass (SSG) behavior are found in such an NF system. The bifurcation of the zero-field-cooled (ZFC) and field-cooled (FC) magnetization vs. temperature curves at the ZFC peak, and the flatness of FC magnetization involve SSG, while the frequency-dependent ac susceptibility anomaly follows the Vogel–Fulcher law that implies weak dipole interactions of the SPM model. This finding can help us to find a way to search for high temperature spin glass materials

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