548 research outputs found
Expert systems tools for Hubble Space Telescope observation scheduling
The utility of expert systems techniques for the Hubble Space Telescope (HST) planning and scheduling is discussed and a plan for development of expert system tools which will augment the existing ground system is described. Additional capabilities provided by these tools will include graphics-oriented plan evaluation, long-range analysis of the observation pool, analysis of optimal scheduling time intervals, constructing sequences of spacecraft activities which minimize operational overhead, and optimization of linkages between observations. Initial prototyping of a scheduler used the Automated Reasoning Tool running on a LISP workstation
Le jeu de rĂ´le pour des apprentissages durables en anglais, langue seconde
Le fait de vivre dans la seule province bilingue au Canada place les étudiants néo-brunswickois francophones dans une situation qui exige de leur part qu’ils excellent dans leur langue seconde. L’apprentissage de l’anglais à titre de langue seconde s’avère pour certains étudiants un défi de taille qui s’exprime parfois par un désengagement, une démotivation, un malaise et, à la limite, un échec. Les auteurs de cet article partagent leur expérience d'une activité d'apprentissage qui s'est déroulée au Collège communautaire du Nouveau-Brunswick – Campus d’Edmundston : le jeu de rôle en classe d’anglais. Axé sur l'utilisation de mises en situation ou de problèmes à résoudre, celui-ci favorise à la fois le développement de la motivation à apprendre et les compétences langagières. Une fois la définition du jeu de rôle établie, les auteurs explicitent le déroulement de l'activité en mettant l'accent sur la réalisation de scénarios et ils déterminent les rôles respectifs de l'enseignant et des étudiants. Dans la foulée, ils mettent en lumière les nombreux avantages de cette formule pédagogique
The Kinetics of the Rapid Gas Reaction between Ozone and Nitrogen Dioxide
An apparatus has been designed and constructed which will rapidly mix two gaseous reactants, isolate them in a reaction cell, and, by means of light absorption, follow the course of the reaction photoelectrically in one-tenth of a second or less. The output of the photoelectric tube is recorded by a time-exposure photograph of the screen of an oscilloscope.The kinetics of the fast reaction between ozone and nitrogen dioxide was studied over a tenfold range of concentration of each reactant. The rate law was found to be
[dformula -d(O[sub 3])/dt [equals sign] k(NO[sub 2])(O[sub 3])]
over the entire course of the reaction. From the temperature coefficient of the rate of reaction the energy of activation was found to be 7.0±0.6 kilo-calories per mole. A mechanism is proposed to account for the observations
ExplainabilityAudit: An Automated Evaluation of Local Explainability in Rooftop Image Classification
Explainable Artificial Intelligence (XAI) is a key concept in building trustworthy machine learning models. Local explainability methods seek to provide explanations for individual predictions. Usually, humans must check these explanations manually. When large numbers of predictions are being made, this approach does not scale. We address this deficiency for a rooftop classification problem specifically with ExplainabilityAudit, a method that automatically evaluates explanations generated by a local explainability toolkit and identifies rooftop images that require further auditing by a human expert. The proposed method utilizes explanations generated by the Local Interpretable Model-Agnostic Explanations (LIME) framework as the most important superpixels of each validation rooftop image during the prediction. Then a bag of image patches is extracted from the superpixels to determine their texture and evaluate the local explanations. Our results show that 95.7% of the cases to be audited are detected by the proposed system
Campus Vol IV N 2
Hodgson, Don. Big Red On The Radio . Prose. 2.
Hauser, Bill. After Hours Almanac . Prose. 4.
Ide, Don and Bob Porter. I Remember D-Day . Picture. 6.
Hawk, Bob. The Shysters: Drama in The Counselor\u27s Office a la Hemingway . Prose. 7.
McGlone, Joe and Tom Rees. Terpischore Takes Over . Picture. 8.
Parker, Chris. Nuns Fret Not . Prose. 9.
Johnston, Ed. Fashions For Men . Prose. 10.
Barton, Rusty. Fashions For Women . Prose. 11.
Matthews, Jack and Joe McGlone. Campus Congratulates . Picture. 12.
Rossi, Bob. Doane * 9:55 . Picture. 14.
Bedell, Barrie and John Hodges. Ballroom to Boudoir . 15.
Anonymous. Calender Girls For \u2750 . Picture. 16.
Wittich, Hugh. Prelude . Prose. 20.
Chase, Dick. The Intramural Saga . Prose. 21.
Kruger, Ben. Column For Contributors . Prose. 22.
Taggart, Marilou. Leaves, Oh Man! . Poem. 22.
Taggart, Marilou. Christmas Fugue . Poem. 22.
Froth. Untitled. Prose. 24.
Anonymous. Untitled. Cartoon. 24.
Optekar, Pat. Polyphemis\u27 Wrath . Prose. 5
Directional Pairwise Class Confusion Bias and Its Mitigation
Recent advances in Natural Language Processing have led to powerful and sophisticated models like BERT (Bidirectional Encoder Representations from Transformers) that have bias. These models are mostly trained on text corpora that deviate in important ways from the text encountered by a chatbot in a problem-specific context. While a lot of research in the past has focused on measuring and mitigating bias with respect to protected attributes (stereotyping like gender, race, ethnicity, etc.), there is lack of research in model bias with respect to classification labels. We investigate whether a classification model hugely favors one class with respect to another. We introduce a bias evaluation method called directional pairwise class confusion bias that highlights the chatbot intent classification model’s bias on pairs of classes. Finally, we also present two strategies to mitigate this bias using example biased pairs
A Preliminary Comparative Assessment of the Role of CD8+ T Cells in Chronic Fatigue Syndrome/Myalgic Encephalomyelitis and Multiple Sclerosis
Scalar Field Theory on a Causal Set in Histories Form
We recast into histories-based form a quantum field theory defined earlier in
operator language for a free scalar field on a background causal set. The
resulting decoherence-functional resembles that of the continuum theory. The
counterpart of the d'Alembertian operator is nonlocal and is a generalized
inverse of the discrete retarded Green function. We comment on the significance
of this and we also suggest how to include interactions.Comment: plainTeX, 25 pages, no figures. One paragraph added, other small
changes. Most current version is available at
http://www.perimeterinstitute.ca/personal/rsorkin/some.papers/142.causet.dcf.pdf
(or wherever my home-page may be, such as
http://www.physics.syr.edu/~sorkin/some.papers/
Enhancing Interdisciplinary Instruction in General and Special Education: Thematic Units and Technology
This article discusses interdisciplinary thematic units in the context of special and general education curricula and focuses on ways technology can be used to enhance interdisciplinary thematic units. Examples of curriculum integration activities enhanced by technology are provided in the context of productivity tools, presentation and multimedia tools, contextual themed software, and Web-based activities.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline
KL Estimation of the Power Spectrum Parameters from the Angular Distribution of Galaxies in Early SDSS Data
We present measurements of parameters of the 3-dimensional power spectrum of
galaxy clustering from 222 square degrees of early imaging data in the Sloan
Digital Sky Survey. The projected galaxy distribution on the sky is expanded
over a set of Karhunen-Loeve eigenfunctions, which optimize the signal-to-noise
ratio in our analysis. A maximum likelihood analysis is used to estimate
parameters that set the shape and amplitude of the 3-dimensional power
spectrum. Our best estimates are Gamma=0.188 +/- 0.04 and sigma_8L = 0.915 +/-
0.06 (statistical errors only), for a flat Universe with a cosmological
constant. We demonstrate that our measurements contain signal from scales at or
beyond the peak of the 3D power spectrum. We discuss how the results scale with
systematic uncertainties, like the radial selection function. We find that the
central values satisfy the analytically estimated scaling relation. We have
also explored the effects of evolutionary corrections, various truncations of
the KL basis, seeing, sample size and limiting magnitude. We find that the
impact of most of these uncertainties stay within the 2-sigma uncertainties of
our fiducial result.Comment: Fig 1 postscript problem correcte
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