177,240 research outputs found

    De Templi Posterioris Prae Priori Gloria / Rectore Magnificentissimo Serenissimo Principe Regio Et Electoratvs Saxonici Herede, Dn. Friderico Avgvsto, Et Indvltv Celeberrimi Philosophorvm Ordninis, In Academia Ad Albim, Eivsdemqve Avditorio Philosophico. Ad D. XXX. Oct. A. G. R. MDCCXV, ... publice disserent Praeses Et Avctor, M. Hieronymvs Wigand Biel, Lvneburgensis, Ac Respondens Thomas Pfützner/ Estho-Livonvs

    No full text
    Wittenberg, Univ., Phil.. Diss., 1715Fingerprint nach Ex. der HAB Wolfenbüttel und der ULB Sachsen-AnhaltSignaturformel nach Ex. der HAB Wolfenbüttel und der ULB Sachsen-Anhalt: [1], A - D4Vorlageform des Erscheinungsvermerks: Vitembergæ Prelo Schroederiano, Acad. Typ. - Erscheinungsjahr nach der Datierung im Titel bestimmtTeilw. in hebr. Schr

    Generosissimis Atqve Nobilissimis Jurium Cultoribus S. P. D. / Mich. Henricus Gribner. D. & P. P. : [Scrib. Wittemb. Sax. prid. Non. Qvinctil. A. O. R. MDCCVIII.]

    No full text
    Einladung zur Verteidigung der jur. Diss. von Christoph Heinrich Berger, Christian Ludwig Thilo, Sigismund Ehrenfried von Oppel, Johann Jacob Feuerlein u. Friedrich Adolph von Berge, 6. Juli 1708Vorlageform des Kolophon: Vitembergae. Prelo Christiani Schroedteri Acad. Typ. - Erscheinungsjahr nach Datierung am Textende bestimm

    Appropriate Similarity Measures for Author Cocitation Analysis

    No full text
    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

    No full text
    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Going Beyond Counting First Authors in Author Co-citation Analysis

    No full text
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    SPICE Compact Model for an Analog Switching Niobium Oxide Memristor

    No full text
    In this paper, we present a compact SPICE model of an analog switching memristive device based on niobium oxide and investigate the functionality of the same as a synapse element through its compact model by utilizing it in a simulation of an 8x8 resistive crossbar array. Considering especially the von Neumann bottleneck for neural network computing tasks, memristive crossbar arrays offer a potential in-memory computing solution performing highly parallel matrix-vector multiplication and reducing the energy consumption. In particular, multilevel switching memristive devices with intrinsic self-compliance are predestined for crossbar operations. Based on experimental results of a bi-layer Ti/Al2O3/Nb2O5/Ti stack, a compact physical model was recently derived, assuming an underlying Poole- Frenkel emission mechanism. High model accuracy in terms of I-V behaviors, dynamic route map and power exponent plots were demonstrated by fitting the nonlinear I-V relation and the state function to measurement data, verifying analog gradual switching for the voltage driven extended memristor. In this paper the SPICE implementation for the core memductance accompanied by a parallel and series resistor is introduced and its application for sense analysis via analog and multi-memristor circuit exploitation is presented. Adopting the SPICE model, the switching dynamics is investigated and discussed for performing synaptic potentiation and depression behavior in a potential crossbar application

    Physics-based modeling of a bi-layer Al2O3/Nb2O5 analog memristive device

    No full text
    This paper proposes the derivation of a physicsbased model of an analog memristive device realized as a bi-layer Al2O3/Nb2O5 stack. Memristive crossbar arrays implementing matrix-vector multiplications are a central building block of novel computing-in-memory architectures for artificial neural network and neuromorphic computing applications. The presented memristor shows analog, multi-level switching at high resistances without electroforming and is suitable for crossbar operations with low energy consumption. By including a graphical analysis method of the I-V curves obtained in a quasi-static approach, the dynamic behavior is analyzed with regard to ohmic and Poole- Frenkel behavior. Finally, a compact model, represented by an algebraic differential equation, is proposed and verified by fitting calculated solutions to experimental data

    A pseudo-memcapacitive neurotransistor for spiking neural networks

    No full text
    In this paper, we present a pseudo-memcapacitive neurotransistor by embedding a nonvolatile, abrupt-switching memristor at the gate of an NMOS transistor to emulate neuronal integrate and fire behavior. Neural networks, implementing spikebased computing paradigms on hardware platforms, integrating memristor crossbar arrays on underlying CMOS circuitry, operate similarly as neuronal networks in the human brain, which can significantly improve the time and energy efficiency of standard data processors.We demonstrate that also nonvolatile memristors can be considered to realize neuronal leaky integration and firing functionality including the neuron reset being performed intrinsically by a sufficiently discharged ’membrane’ potential at the gate of a transistor. A versatile, compact and abrupt-switching model of a nonvolatile memristor with built-in cycle-to-cycle variability is proposed, forming a pseudo-memcapacitance along with the gate capacitance and evoking conditional neuronal spike generation depending upon the properties of the input pulse train. The SPICE code of the pseudo-memcapacitive neurotransistor is applied to verify the design parameters that trigger firing. Finally, the envisaged circuit realization of the proposed design is discussed
    corecore