par Thibaut FILLIOL Université de Strasbourg (UDS) 2015
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vendredi 12 février 2016
Mise au point d'une méthode de mesure sur les indices de confort : étude menée sur la ville de Strasbourg (france)
Effets des incendies de forêts sur la séquestration du carbone et la minéralisation de l'azote, et la typologie des sols dans les écosystèmes forestiers du rif centro-occidental
par Collins Orlando Ecole Nationale Forestière d'Ingénieurs (Maroc) 2015
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Gestion des competences au sein de la mairie d'Adjame
par jEAN Noel Pacome KANA Institut du Conservatoire des Sciences de Gestion 2014
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jeudi 11 février 2016
Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion
Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion Pit--Claudel, Clément; Mariet, Zelda; Harding, Rachael; Madden, Sam Rapidly developing areas of information technology are generating massive amounts of data. Human errors, sensor failures, and other unforeseen circumstances unfortunately tend to undermine the quality and consistency of these datasets by introducing outliers -- data points that exhibit surprising behavior when compared to the rest of the data. Characterizing, locating, and in some cases eliminating these outliers offers interesting insight about the data under scrutiny and reinforces the confidence that one may have in conclusions drawn from otherwise noisy datasets. In this paper, we describe a tuple expansion procedure which reconstructs rich information from semantically poor SQL data types such as strings, integers, and floating point numbers. We then use this procedure as the foundation of a new user-guided outlier detection framework, dBoost, which relies on inference and statistical modeling of heterogeneous data to flag suspicious fields in database tuples. We show that this novel approach achieves good classification performance, both in traditional numerical datasets and in highly non-numerical contexts such as mostly textual datasets. Our implementation is publicly available, under version 3 of the GNU General Public License.
from Computer Science and Artificial Intelligence Lab (CSAIL) http://ift.tt/1Whikje
Music Archives III: All That Jazz
Music Archives III: All That Jazz Bennett, Charlie; Doshi, Ameet; Hagenmaier, Wendy; Rascoe, Fred Interview portion of Lost in the Stacks episode 290, broadcast Feb 5, 2016. Features interview with Vincent Pelote, director of operations from the Institute of Jazz Studies at Rutgers University.
from Theses online http://www.rssmix.com/
Project selection and management in international development organisations
par Landry Iragi Mugaruka University of Hertfordshire 2014
from Memoire Online http://ift.tt/1NiT8q3
Impact des ong internationales sur la vie socio sanitaire de la population de la cité de Lubero/cas de l'OXFAM
par Ignace Karonde 2015
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La transparence optimale d'une banque centrale
par Artan Itsitsa Nzamba Université Omar Bongo de Libreville-Gabon 2014
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La gestion des ressources humaines dans les collectivités territorriales decentralisées:un gage au developpement du cameroun.cas de la commune de dibombari
par Thomas Yves TONGUE INEAD Vitrolles-France 2015
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mardi 9 février 2016
Application du SIG dans l'identification des zones propices à la culture des échalotes à Sangha, Mali
par DOLO DOMO RECTAS au Nigeria 2012
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Le tax shelter en fédération Wallonie-Bruxelles face aux SOFICA en France
par Charles-Antoine Vandrèche Teniers EPFC 2014
from Memoire Online http://ift.tt/1NiT8q3
Analyse de l'activité et évaluation des facteurs de pénibilité du travail. Le cas des maréchaux ferrants
par Anne-Sophie LETOUSEY Université de Basse-Normandie 2012
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lundi 8 février 2016
Communiquer avec efficience le défi des étudiants-entrepreneurs
par Jordan Jeandon Université Lyon 3 0000
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Détermination des isothermes de sorption (adsorption-désorption) [cas de l'aubergine (solanum melongena l.)]
par Dieu-Merci_Handdy_ KALENGI Université de KINSHASA 2014
from Memoire Online http://ift.tt/1NiT8q3
Système informatique de gestion des stagiaires de l'ASECNA-GAROUA
par Amné Balkissou AMINATOU HAMADOU IUT de Ngaoundéré 2014
from Memoire Online http://ift.tt/1NiT8q3
Approche hydrogéologique et hydrochimique des eaux souterraines dans une zone semi aride . Cas de la nappe mio-plio-quaternaire du synclinal de Djelfa (Algérie centrale )
par Badreddine RAHMANI Université Larbi Tebessi 2016
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Migration systeme sous 2003 vers 2008 server
par Gil Thibault TCHANA NGNINKEU IAI Cameroun 2012
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lundi 1 février 2016
3D Body Scanning for Product Design
3D Body Scanning for Product Design Ball, Roger The human body has complex spatial relationships with consumer products. Products that fit the human body must fit well to deliver performance, comfort, and overall user safety. Yet, body shape and measurements vary significantly by gender, ethnicity and age. Traditional methods of acquiring measurements are time consuming, subject to human error and poorly integrated with current best practices in product design. Similarly, traditional prototyping methods using clay, wood and foam are time and labor intensive making them out of synch with the fast paced iterative process used when designing body fit products. In 2005 The Asian Ergonomic Lab (AEL) in the School of Design in the Hong Kong Polytechnic University began working with digital technologies to try and solve some of the many problems of fit, sizing and shape that have bedeviled design practice since the beginning. The Scan&Print method uses the technologies of 3D body scanning, CAD software and 3D printing to create body fitting products with improved fit within a reduced time. This method is now taught as a part of the undergraduate curriculum ID 4061 – Designing for the Human Body in the Industrial Design Dept at Georgia Tech where there is an emphasis on leveraging technology with design innovation. The Scan&Print method reduces development time, improves fit and creates new types of forms for body fitting products. The near future may see further applications where the whole process of scanning, designing and manufacturing customized products for human body becomes tightly integrated, intuitive and automated. Presented on January 28, 2016 from 11:00 am to 12:00 noon in the Georgia Tech Architecture Library; Dr. Roger Ball, formerly the Endowed Professor of Asian Ergonomics at the Hong Kong Polytechnic, is the Associate Chair in the School of Industrial Design at Georgia Tech.; Runtime: 54:13 minutes
from Theses online http://www.rssmix.com/
Towards an Integrated Architecture for Open-World Human-Robot Interactions
Towards an Integrated Architecture for Open-World Human-Robot Interactions Scheutz, Matthias “Open-world” human-robot interactions differ significantly from “closed-world” human-robot interactions because not all task-relevant information is available at the beginning of the interaction in the former (while it is in the latter). As a result, robots need to be able to acquire new knowledge online during task execution in open-world scenarios, which requires additional functionality in the cognitive robotic architecture to deal with unknown entities (such as words, objects, locations, actions, events, goals, etc.). In this presentation, I will provide an overview of our recent efforts towards developing an integrated architecture for open-world HRI and demonstrate some of the novel algorithms using videos from human-robot interaction scenarios. Presented on January 27, 2016 at 12:00 p.m. in the Molecular Science and Engineering Building, room G011.; Matthias Scheutz is a professor in Cognitive and Computer Science in the Department of Computer Science, an adjunct professor in the Department of Psychology, and the Bernard M. Gordon Senior Faculty Fellow in Engineering at Tufts University. As director of the Human-Robot Interaction Laboratory at Tufts, his current research focuses on complex cognitive and affective robots with natural language capabilities for natural human-robot interaction.; Rumtime: 50:10 minutes
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