A Qualitative Comparison of Unobtrusive Domestic Occupancy Measurement Technologies

2013 ◽  
pp. 391-400
Author(s):  
Eldar Nagijew ◽  
Mark Gillott ◽  
Robin Wilson
Keyword(s):  
Qualitative Comparison

The Contribution of Phonon-Scattered Electrons to High-Resolution Electron Micrographs of Crystals

1990 ◽  
Vol 48 (1) ◽  
pp. 62-63
Author(s):  
H. Kohl
Keyword(s):  
High Resolution ◽  
Spherical Aberration ◽  
High Resolution Electron Microscopy ◽  
Static Potential ◽  
Qualitative Comparison ◽  
The Past ◽  
Resolution Electron ◽  
High Resolution Images ◽  
High Resolution Electron Micrographs ◽  
Extract Information

High-Resolution Electron Microscopy is able to determine structures of crystals and interfaces with a spatial resolution of somewhat less than 2 Å. As the image is strongly dependent on instrumental parameters, notably the defocus and the spherical aberration, the interpretation of micrographs necessitates a comparison with calculated images. Whereas one has often been content with a qualitative comparison of theory with experiment in the past, one is currently striving for quantitative procedures to extract information from the images [1,2]. For the calculations one starts by assuming a static potential, thus neglecting inelastic scattering processes.We shall confine the discussion to periodic specimens. All electrons, which have only been elastically scattered, are confined to very few directions, the Bragg spots. In-elastically scattered electrons, however, can be found in any direction. Therefore the influence of inelastic processes on the elastically (= Bragg) scattered electrons can be described as an attenuation [3]. For the calculation of high-resolution images this procedure would be correct only if we had an imaging energy filter capable of removing all phonon-scattered electrons. This is not realizable in practice. We are therefore forced to include the contribution of the phonon-scattered electrons.

Qualitative Comparison of Streamflow Information Programs of the U.S. Geological Survey and Three Non-Federal Agencies

2008 ◽  
Author(s):  
J. Michael Norris ◽  
Michael Lewis ◽  
Michael Dorsey ◽  
Robert Kimbrough ◽  
Robert R. Holmes ◽  
...  
Keyword(s):  
Federal Agencies ◽  
Geological Survey ◽  
Qualitative Comparison ◽  
The U.S

A Qualitative Comparison of Two Hybrid DEVS Approaches

2012 ◽  
Vol 22 (1) ◽  
pp. 15-24 ◽  
Author(s):  
Christina Deatcu ◽  
Thorsten Pawletta
Keyword(s):  
Qualitative Comparison ◽  
Two Hybrid

Courting Migrants

2020 ◽  
Author(s):  
Katrina Burgess
Keyword(s):  
Dominican Republic ◽  
Regime Change ◽  
The Philippines ◽  
Feedback Loops ◽  
The State ◽  
Historical Case ◽  
Qualitative Comparison ◽  
Integrative Theory ◽  
History Of ◽  
History Of Migration

This book examines state–migrant relations in four countries with a long history of migration, regime change, and democratic fragility: Turkey, the Dominican Republic, Mexico, and the Philippines. It uses these cases to develop an integrative theory of the interaction between “diaspora-making” by states and “state-making” by diasporas. Specifically, it tackles three questions: (1) Under what conditions and in what ways do states alter the boundaries of political membership to reach out to migrants and thereby “make” diasporas? (2) How do these migrants respond? (3) To what extent does their response, in turn, transform the state? Through historical case narratives and qualitative comparison, the book traces the feedback loops among migrant profiles, state strategies of diaspora-making, party transnationalization, and channels of migrant engagement in politics back home. The analysis reveals that most migrants follow the pathways established by the state and thereby act as “loyal” diasporas but with important deviations that push states to alter rules and institutions.

Lost in translation: a quantitative and qualitative comparison of rape myth acceptance

2021 ◽  
pp. 1-19
Author(s):  
Alexandra M. Zidenberg ◽  
Farron Wielinga ◽  
Brandon Sparks ◽  
Krystyn Margeotes ◽  
Leigh Harkins
Keyword(s):  
Rape Myth Acceptance ◽  
Rape Myth ◽  
Qualitative Comparison ◽  
Lost In Translation ◽  
Myth Acceptance

scholarly journals Possible Alterations of Local Gravitational Field Inside a Superconductor

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 193 ◽  
Author(s):  
Giovanni Alberto Ummarino ◽  
Antonio Gallerati
Keyword(s):  
Gravitational Field ◽  
Landau Theory ◽  
Time Dependent ◽  
Qualitative Comparison ◽  
Ginzburg Landau ◽  
High Tc ◽  
Gravitational Fields ◽  
Favorable Conditions

We calculate the possible interaction between a superconductor and the static Earth’s gravitational fields, making use of the gravito-Maxwell formalism combined with the time-dependent Ginzburg–Landau theory. We try to estimate which are the most favorable conditions to enhance the effect, optimizing the superconductor parameters characterizing the chosen sample. We also give a qualitative comparison of the behavior of high–Tc and classical low–Tc superconductors with respect to the gravity/superfluid interplay.

scholarly journals Generation of Cross-Lingual Word Vectors for Low-Resourced Languages Using Deep Learning and Topological Metrics in a Data-Efficient Way

Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1372
Author(s):  
Sanjanasri JP ◽  
Vijay Krishna Menon ◽  
Soman KP ◽  
Rajendran S ◽  
Agnieszka Wolk
Keyword(s):  
Deep Learning ◽  
Language Processing ◽  
Semantic Space ◽  
Semantic Interpretation ◽  
Learning Approaches ◽  
Qualitative Comparison ◽  
Bilingual Dictionary ◽  
Pos Tagging ◽  
Part Of Speech ◽  
Cross Lingual

Linguists have been focused on a qualitative comparison of the semantics from different languages. Evaluation of the semantic interpretation among disparate language pairs like English and Tamil is an even more formidable task than for Slavic languages. The concept of word embedding in Natural Language Processing (NLP) has enabled a felicitous opportunity to quantify linguistic semantics. Multi-lingual tasks can be performed by projecting the word embeddings of one language onto the semantic space of the other. This research presents a suite of data-efficient deep learning approaches to deduce the transfer function from the embedding space of English to that of Tamil, deploying three popular embedding algorithms: Word2Vec, GloVe and FastText. A novel evaluation paradigm was devised for the generation of embeddings to assess their effectiveness, using the original embeddings as ground truths. Transferability across other target languages of the proposed model was assessed via pre-trained Word2Vec embeddings from Hindi and Chinese languages. We empirically prove that with a bilingual dictionary of a thousand words and a corresponding small monolingual target (Tamil) corpus, useful embeddings can be generated by transfer learning from a well-trained source (English) embedding. Furthermore, we demonstrate the usability of generated target embeddings in a few NLP use-case tasks, such as text summarization, part-of-speech (POS) tagging, and bilingual dictionary induction (BDI), bearing in mind that those are not the only possible applications.

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