1,721,091 research outputs found
Analisis Pengukuran Kinerja Perusahaan dengan Pendekatan Balanced Scorecard pada PT Adev Natural Indonesia Kota Bogor
PT Adev Natural Indonesia merupakan perusahaan yang bergerak dibidang pembuatan produk-produk kosmetik dan personal care berbasis alami. Tujuan penelitian ini adalah: (1) Menyusun sistem alignment organisasi pada PT Adev Natural Indonesia, (2) Membuat rancangan pengukuran kinerja dengan pendekatan BSC pada PT Adev Natural Indonesia, (3) Menggambarkan peta strategis yang relevan berdasarkan pendekatan BSC pada PT Adev Natural Indonesia, dan (4) Mengukur pencapaian kinerja PT Adev Natural Indonesia tahun 2015 dengan pendekatan BSC. Metode pengambilan sampel yang digunakan adalah nonprobability sampling dengan teknik purposive sampling. Jenis data yang digunakan adalah data primer dan data sekunder. Alat analisis dan pengolahan data yang digunakan adalah Teknik Delphi, metode Pairwise Comparisons, dan metode pengukuran kinerja BSC yang diolah dengan menggunakan software Microsoft Excel 2007 dan conditional formating. Hasil penelitian menunjukkan bahwa kinerja PT Adev Natural Indonesia sedang dengan skor kinerja sebesar 50.41% dari skala 70% yang diekspresikan dengan warna kuning
Konzept für digitale Kommunikation im Bereich erneuerbare Energie
Die Unternehmenskommunikation spielt eine wichtige Rolle. Mit der externen Kommunikation adressiert das Unternehmen Kunden und Kundinnen, Geschäftspartner und -partnerinnen, potenzielle Arbeitskräfte sowie Interessensgruppen wie Medien und die Politik. Die Art des Kommunizierens hat sich mit der Kommerzialisierung des Internets und dem Aufkommen von Social-Media verändert – die digitale Kommunikation wird immer wichtiger. Die ADEV will daher ihre digitalen und nicht digitalen Kommunikationskanäle weiter ausbauen, um die Kundenakquisition und Markenpräsenz zu steigern
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs
Optimizing the expected values of probabilistic processes is a central
problem in computer science and its applications, arising in fields ranging
from artificial intelligence to operations research to statistical computing.
Unfortunately, automatic differentiation techniques developed for deterministic
programs do not in general compute the correct gradients needed for widely used
solutions based on gradient-based optimization.
In this paper, we present ADEV, an extension to forward-mode AD that
correctly differentiates the expectations of probabilistic processes
represented as programs that make random choices. Our algorithm is a
source-to-source program transformation on an expressive, higher-order language
for probabilistic computation, with both discrete and continuous probability
distributions. The result of our transformation is a new probabilistic program,
whose expected return value is the derivative of the original program's
expectation. This output program can be run to generate unbiased Monte Carlo
estimates of the desired gradient, which can then be used within the inner loop
of stochastic gradient descent. We prove ADEV correct using logical relations
over the denotations of the source and target probabilistic programs. Because
it modularly extends forward-mode AD, our algorithm lends itself to a concise
implementation strategy, which we exploit to develop a prototype in just a few
dozen lines of Haskell (https://github.com/probcomp/adev).Comment: to appear at POPL 202
A Cryogenic Sapphire Oscillator with 10−16 mid-term ADEV
International audienceWe report in this letter the outstanding frequency stability performances ofan autonomous cryogenique sapphire oscillator presenting a flicker frequencynoise floor below 2e-16 near 1,000 s of integration time and a long term AllanDeviation (ADEV) limited by a random walk process of 1e-18/sqr(tau). Thefrequency stability qualification at this level called for the implementationof sophisticated instrumentation associated with ultra-stable frequencyreferences and ad hoq averaging and correlation methods
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
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
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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