20,980 research outputs found

    Massive production of graphene oxide from expanded graphite

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    In a deviation from the conventional Hummers method, a spontaneous expansion approach was introduced with expanded graphite as the precursors. The intercalating agent (H2SO4) was able to penetrate into the expanded graphite; this had further expanded the graphite and as a result, a foam-like intermediate was produced. The foam-like graphite was more easily oxidized in reaction with the oxidant (KMnO4) to form graphene oxide (GO). Fully exfoliated GO was obtained with expanded graphite having the median diameter ~ 15 {\mu}m as the precursors. This procedure was much safer and productive in scalable applications than the conventional Hummers methods

    Modulated Unit-Norm Tight Frames for Compressed Sensing

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    In this paper, we propose a compressed sensing (CS) framework that consists of three parts: a unit-norm tight frame (UTF), a random diagonal matrix and a column-wise orthonormal matrix. We prove that this structure satisfies the restricted isometry property (RIP) with high probability if the number of measurements m=O(slog⁥2slog⁥2n)m = O(s \log^2s \log^2n) for ss-sparse signals of length nn and if the column-wise orthonormal matrix is bounded. Some existing structured sensing models can be studied under this framework, which then gives tighter bounds on the required number of measurements to satisfy the RIP. More importantly, we propose several structured sensing models by appealing to this unified framework, such as a general sensing model with arbitrary/determinisic subsamplers, a fast and efficient block compressed sensing scheme, and structured sensing matrices with deterministic phase modulations, all of which can lead to improvements on practical applications. In particular, one of the constructions is applied to simplify the transceiver design of CS-based channel estimation for orthogonal frequency division multiplexing (OFDM) systems.Comment: submitted to IEEE Transactions on Signal Processin

    The Influence of Goal orientations and the other Motivational Variables on Dropouts. Case HAAGA-HELIA UAS, Bite programme.

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    The purpose of this study was to learn students’ goal orientations and find out the other influences affecting students’ intentions to continue their study. The data gathering methods applied in this study was paper-based questionnaire. The questionnaire were based on Niemivirta (2002) students motivational factor study. The KNIME statistical analysis platform and Excel analysis toolbak were employed to study the gathered data and identify correlational patterns. The results indicates and demonstrates that goal orientations have impact on dropouts. The other motivational variables also have different levels of influences on goal orientations, and variables correlated with each other. In general, the study supports that the level of goal orientations would influence students’ intention to drop out or not. Mastery-intrinsic orientation is the key factor causing academic withdrawal. Thus, suggesting that schools apply the Adaptive Management Platform (Dirin & Laine 2018) to track students’ mastery-intrinsic orientation, and stimulate students’ mastery-intrinsic orientation together with teachers

    Simple, high-performance type II β-BaB2O4 optical parametric oscillator

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    A visible /near-IR optical parametric oscillator (OPO) based on type II phase matching in β-BaB2O4 (BBO) is described. Pumped at 355 nm, this OPO covers 410-2500 nm completely with a single set of standard Nd:YAG cavity optics. The output efficiency is >25 %, the linewidth of the OPO is narrower than 1 -2 cm^-1 without the use of gratings or etalons, and the signal-beam divergence is <400 ¾rad. Three type I BBO doubling crystals are used to extend the tuning range from 208 to 415 nm. Doubling efficiencies as high as 40% are easily obtained. The reasons for the high doubling and overall system efficiency are discussed
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