7,894 research outputs found

    Letter of Commission, 1812 December 19, JS Barbour, Richmond, to General Robert B. Taylor, Norfolk,

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    JS Barbour, Richmond, to General Robert B Taylor,Norfolk, letter enclosing a commission as Brig.General of Militia, December 19, 1812

    Kernel ellipsoidal trimming

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    Ellipsoid estimation is important in many practical areas such as control, system identification, visual/audio tracking, experimental design, data mining, robust statistics and statistical outlier or novelty detection. A new method, called kernel minimum volume covering ellipsoid (KMVCE) estimation, that finds an ellipsoid in a kernel-defined feature space is presented. Although the method is very general and can be applied to many of the aforementioned problems, the main focus is on the problem of statistical novelty/outlier detection. A simple iterative algorithm based on Mahalanobis-type distances in the kernel-defined feature space is proposed for practical implementation. The probability that a non-outlier is misidentified by our algorithms is analyzed using bounds based on Rademacher complexity. The KMVCE method performs very well on a set of real-life and simulated datasets, when compared with standard kernel-based novelty detection methods

    The Echo: May 8, 2015

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    People rather than programs shape seniors’ faith – Life After Taylor Part 4 – Haak gives back – New TSO executive cabinet hired – Gaining our freshman 514 – In The Loop – Under the Radar – Boiling Point – Top 5 Bizarre Headlines – Around The World – Looking Back: a Year of TSO – This Year’s Cabinet – Next Year’s Cabinet – The Weekly Nugget – Taylor before time – Bi-Weekly bachelor and bachelorette – Echograms #TaylorU -- #TaylorU’s Top Tweets – Grading the Heroes – Two Js make a double recital – The Night Lights search for stars – All you need is commitment – Waste not – Death penalty overkill – Let your voice be heard! – Setting the standard – Strike, they’re out – Athlete of the Weekhttps://pillars.taylor.edu/echo-2014-2015/1025/thumbnail.jp

    Chosen logistics processes in Škoda JS

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    This master thesis deals with the purchase and sale process in Škoda JS company. The aim of this work is to assess whether the setting of the purchase and sale process is met by the company also within a real business case, in compliance with set controls, and whether the degree of perfect delivery is sufficient. In the introduction, the author specifies the basic terms: logistics, logistic chain, customer benefits, information systems in logistics, buying and selling. The following chapter introduces Škoda JS company, including the sphere of its entrepreneurial activity. This chapter also deals with the nuclear power industry. In the crucial chapter, the author describes the process of purchase and sale in Škoda JS company and compares it with a real business case. In conclusion, the author evaluates discrepancies and suggests recommendations to avoid them

    Bioflocculant produced by Aspergillus sp. JS-42

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    A bioflocculant from a fungus, Aspergillus sp. JS-42, was purified by precipitations with acetone and cetylpyridinium chloride. The flocculating activity was not significantly affected by pH from 3 to 8, but was stimulated by the addition of CaCl2, and was effective only when the reaction mixture contained an adequate amount of flocculant. The flocculant could efficiently flocculate all tested solids suspended in aqueous solution, including various microorganisms, organic acids, and inorganic materials.open

    Reacting carbon particle-laden oxygen gas behind a shock wave

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    An analysis of the flow field, which develops when a shock wave hits a two-phase medium comprising carbon particles and oxygen gas, has a practical application to industrial accidents such as explosions at coal mine and in grain elevator. Therefore, its successful prediction of thermo-fluid mechanical characteristics would he very crucial and imperative. This paper describes and inherent interaction phenomenon behind a shock wave for a two-phase medium of gas and particles with chemical reaction. A carbon particle-laden oxygen gas is considered to be located along a ramp so that numerical integration is accomplished from the tip of ramp for a finite period. For numerical solution, a fully conservative unsteady implicit 2nd order time-accurate sub-iteration method and the 2nd order Total Variation Diminishing (T VD) scheme are used with the finite volume method (FVM) for gas phase. For particle phase, the Monotonic Upstream Schemes for Conservation Laws (MUSCL) as well as the solution of the Riemann problem for the particle motion equations is used. The transient physical development is discussed in comparison with the cases of the pure gas and the reacting particle-laden gas. The results are then extended to changing the initial gas temperature as well as the particle diameter and particle mass fraction. Major results reveal that for the reacting particle-laden gas flow, the adverse pressure gradient is so high that there exists some region in which the particle velocity exceeds the gas velocity. When the particle diameter is smaller and the particle mass fraction is higher, the thermo-fluid dynamic behavior is significantly affected due to stronger interaction of momentum and thermal energy in two-phase mixture

    Adaptive learning control of uncertain robotic systems

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    An adaptive learning control scheme is presented for uncertain robotic systems that is capable of tracking the entire profile of the reference input. The control scheme consists of three control blocks: a linear feedback, a feedforward error compensation and a learning strategy. At each iteration, the linear feedback with the feedforward error compensation provides stability of the system and keeps its state errors within uniform bounds. The learning strategy, on the other hand, estimates the desired control input and uncertain system parameters, which are used to track the entire span of a reference input over a sequence of iterations. In contrast with many other learning control techniques, the proposed learning algorithm neither uses derivative terms of feedback errors nor assumes any perturbations on the learning control input as a prerequisite. The parameter estimator neither uses any joint acceleration terms nor uses any inversion of the estimated inertia matrix, which makes its implementation practical. The proposed controller is superior to the high-gain feedback based learning controller (Kuc et al. 1991) because the magnitude of linear feedback gains required to guarantee convergence of the learning controller can be made much smaller thereby solving the problems of actuator saturation or actuator overdesign. The convergence proof of the learning scheme with or without parameter estimation is given under mild conditions on the feedback gains and learning control gains. Under the condition of persistent excitation in the domain of iteration sequence, it is proved that the estimated system parameters also converge to the true parameters.X1145sciescopu

    Culture, participative decision making and job satisfaction

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    This study explores the impact of culture on participatory decision making (PDM) and job satisfaction (JS) using data obtained from the European Values Study (EVS). We parameterise two different cultural variables using principal components analysis: first a continuum based on survival versus self-expression values and second a continuum based on traditional versus secular-rational values. Application of ordered logistic regression to Likert scales of PDM and JS suggests that greater self-expression in the survival versus self-expression variable enhances both PDM and JS; and more traditional values in the traditional versus secular-rational continuum have the same effect. © 2012 Copyright Taylor and Francis Group, LLC
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