104,200 research outputs found

    A new species of the genus Euhemicera (Tenebrionidae: Cnodalonini) from South East Asia, with an updated catalogue of all known species

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    The genus Euhemicera Ando, 1996 (Tenebrionidae: Cnodalonini) is recorded from Myanmar for the first time. The newly identified representatives of this genus are described herein as Euhemicera amicorum sp. n.. An updated species catalogue of Euhemicera with distributional data is provided. Currently, one hundred species are known to represent this genus. Available data reveals that Euhemicera is widely distributed throughout the oriental region, with the highest diversity in South East Asia

    Joshua Davis: Author of Spare Parts

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    Citation: K-State First (2016). Joshua Davis: Author of Spare Parts [Flier]. Manhattan, Kansas: K-State First.Flyer advertising Joshua Davis's author talk at Kansas State University

    Steven Johnson Author Talk Poster

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    K-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book

    New species of Tenebrionidae Latreille, 1802 (Coleoptera: Tenebrionoidea) from the Philippines

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    In the present paper Androsus philippinus sp. nov. from Mt. Halcon (Mindoro), Euhemicera smeraldina sp. nov. from Aurora (Luzon) and Thesilea cyaneothorax sp. nov. from Nueva Viscaya (Luzon) are described, diagnosed and illustrated. Thesilea varicolor var. unicolor Kulzer 1951 is recognised as valid subspecies

    DNS of turbulent channel flow with a flexible square cylinder

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    Fluid-Structure Interaction (FSI) problem is concerned with in various research fields such as mechanical, aerospace, civil and medical engineering. Their accurate prediction and control are desired. So far, in order to improve the performance of various applications, many kind of research, on the heat transfer enhancement due to vortex generator in heat exchangers, on the drag reduction through the setting of bluff body in pipe-line systems, and on the reduction of flow induced vibration, are conducted. In particular, since the wake of wall-mounted cylinder is a common flow regime in above-mentioned research, the detail of the flow has been aggressively investigated so far[1]. The present study, we pay attention to the flow control using flexible structures in the above mentioned flows. To investigate the potentiality of the control in advance, both high accurate and stable computational scheme is needed so that theactual phenomena including turbulence is well predicted. Therefore, in order to analyze the fluid-structure interaction, we propose aweak-coupling method[2] in which for flexible structures, the rigorous equations of motion are discretized with finite volume method (FVM[3]); for a flow computation, the finite difference method (FDM) is used and the flexible structures is reproduced via immersed boundary method[4]. In this present paper, we demonstrate on the result of flow structure around of rigid and elastic cylinder in turbulent channel flow

    Direct numerical simulation of dynamic rotating jets

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    Jets are the most basic flow used in industrial field and are widely used for heating, cooling, mixing. Recently, the improvement of mixing efficiency is required in order to downsize many industrial equipments and upgrade their performance. In the case of jets, their characteristic, such as the diffusion, depends on the inlet condition. Therefore, by controlling jet to give appropriate inlet conditions, the mixing efficiency can be improved. Thus far previous studies have mainly investigated excitation control associated with the instability of jets. However, in our previous study, as a new method we proposed dynamic control to enhance mixing or diffusion of free jets and have found its characteristics[1]. In this study, we focus on the vector control in which an inflow is rotating around the streamwise direction. In order to investigate the performance of the proposed method, the DNS of axisymmetric jet under the vector control are conducted and its structures are visualized; the mixing efficiency based on a mixing measure are quantified

    An extension of Kantorovich inequality to n-operators via the geometric mean by Ando–Li–Mathias

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    AbstractIn this paper, we shall extend Kantorovich inequality. This is an estimate by using the geometric mean of n-operators which have been defined by Ando–Li–Mathias in [T. Ando, C. K. Li, R. Mathias, Geometric means, Linear Algebra Appl. 385 (2004) 305–334]. As a related result, we obtain a converse of arithmetic–geometric means inequality of n-operators via Kantorovich constant

    Log analysis of exploitation in cloud computing environment using automated reasoning

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    Recently server consolidation using virtualization leverages cloud computing. In cloud computing, we can apply centralized logging system using server consolidation. In this paper we propose a log analysis method in cloud computing environment using automated reasoning. On cloud computing providers, VM. (virtual machine) monitoring is important to detect security incident. We discuss how to monitor VM, formatting and analyzing logs. Automated reasoning is more effective to retrieves information from large amount of log string. In proposed system. VM log is represented as clausal form and processed by FoL (First order Logic) theorem prover. We also present the numerical output, of proposed system

    A complement of the Ando–Hiai inequality

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    AbstractIn this paper, we present a complement of a generalized Ando–Hiai inequality due to Fujii and Kamei [M. Fujii, E. Kamei, Ando–Hiai inequality and Furuta inequality, Linear Algebra Appl. 416 (2006) 541–545]. Let A and B be positive operators on a Hilbert space H such that 0<m1⩽A⩽M1 and 0<m2⩽B⩽M2 for some scalars mi⩽Mi (i=1,2), and let α∈[0,1]. Put hi=Mimi for i=1,2. Then for each 0<r⩽1 and s⩾1Ar♯αr(1-α)s+αrBs⩽Kh1sh2s,rs-(1-α)s(1-α)s+αrh2(1-α)s(s-r)(1-α)s+αr‖A♯αB‖rs(1-α)s+αr,where A♯αB≔A12(A-12BA-12)αA12 is the α-geometric mean and a generalized Kantorovich constant K(h,p) is defined for h>0 asK(h,p)≔hp-h(p-1)(h-1)p-1php-1hp-hpfor all real numbers p∈R
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