Search results for "complexi"

Enseigner/Faire comprendre ce que recouvre la notion de territoire en formation d’ASS

2017

International audience; Cette contribution vise à rendre compte d'une expérience de mise en œuvre d'enseignements relatifs à la complexité des territoires en filière d'Assistant(e)s de Service Social (ASS), à l'IRTS de Franche-Comté. Il a été en effet reconnu que ces enseignements alimentaient fortement les écrits en lien avec les périodes de stage et devaient s'inscrire de manière progressive au sein des trois années deformation. Testés depuis près de trois ans, le positionnement des différentes interventions et leur mis en lien sur la durée de la formation est aujourd'hui validé et entre dans une période d'application qui donne d'ores et déjà d'excellents résultats. Nous souhaitons par ce…

Connections Between Single-Level and Bilevel Multiobjective Optimization

2011

The relationship between bilevel optimization and multiobjective optimization has been studied by several authors and there have been repeated attempts to establish a link between the two. We unify the results from the literature and generalize them for bilevel multiobjective optimization. We formulate sufficient conditions for an arbitrary binary relation to guarantee equality between the efficient set produced by the relation and the set of optimal solutions to a bilevel problem. In addition, we present specially structured bilevel multiobjective optimization problems motivated by real-life applications and an accompanying binary relation permitting their reduction to single-level multiob…

ORNAMENTAL SIGN LANGUAGE IN THE FIRST ORDER TRACERY BELTS

2010

18 pages; We consider ornamental sign language of first order where principles of sieve displacement, of asymmetric building blocks as base of ornament symmetry, color exchangeability and side equivalence principles work. The generic aspects of sieve and genesis of ornamental pattern and ornament sign in it are discussed. The hemiolia principle for ornamental genesis is introduced. The discoverer of most of these principles were artist Modris Tenisons [4, 5, 6, 7 (refs. 23, 24), 8 (ref. 65)]. Here we apply systematical research using simplest mathematical arguments. We come to conclusions that mathematical argument in arising ornament is of much more significance than simply symmetries in i…

Less Data Same Information for Event-Based Sensors: A Bioinspired Filtering and Data Reduction Algorithm

2018

Sensors provide data which need to be processed after acquisition to remove noise and extract relevant information. When the sensor is a network node and acquired data are to be transmitted to other nodes (e.g., through Ethernet), the amount of generated data from multiple nodes can overload the communication channel. The reduction of generated data implies the possibility of lower hardware requirements and less power consumption for the hardware devices. This work proposes a filtering algorithm (LDSI&mdash

Missense mutations of coagulation factor XII in hereditary angioedema with normal complement C1 inhibitor

2007

Algebraic models of the real affine plane

2017

We introduce a new invariant, the real (logarithmic)-Kodaira dimension, that allows to distinguish smooth real algebraic surfaces up to birational diffeomorphism. As an application, we construct infinite families of smooth rational real algebraic surfaces with trivial homology groups, whose real loci are diffeomorphic to $\mathbb{R}^2$, but which are pairwise not birationally diffeomorphic. There are thus infinitely many non-trivial models of the real affine plane, contrary to the compact case.

Fast 3D Ray Tracing for Indoor Coverage Solutions

2016

Optimal wireless indoor network planning requires huge number of iterations and evaluations of indoor coverage for each antenna location until an optimal solution is reached. Consequently, accurate and scalable calculation of power strength for indoor scenarios becomes necessary. The contribution in this paper is to reduce the complexity of 3D ray tracing for deterministic indoor power prediction. In order to achieve that while preserving the accuracy, image theory with feasible reflection volume as preprocessing approach is introduced. This proposed algorithm stores the image, its feasible reflection volume and valid area of receiving points. Significant complexity reduction is achieved by…

COMPLIANCE PROGRAM IN LATVIAS’ BANKING SECTOR: THE RESULTS OF A SURVEY

2012

Regulators more than ever believe an efficient compliance function is a prerequisite for good corporate governance that should restore trust, integrity, and responsibility in the banks, findings in academic research has confirmed mentioned above in many countries. Compliance is key facet of governance because it shows how actually bank meets corporate responsibilities. The new guidelines in September 2011 had been issued by European Banking Authority with more attention to the compliance function. Compliance is very complex function and covers different areas: Anti-money laundering, investment protection, consumer protection, data protection and etc. Compliance complexity arises from severa…

Embedded Real-Time Surveillance Using Multimodal Mean Background Modeling

2008

Automated video surveillance applications require accurate separation of foreground and background image content. Cost-sensitive embedded platforms place real-time performance and efficiency demands on techniques to accomplish this task. In this chapter, we evaluate pixel-level foreground extraction techniques for a low-cost integrated surveillance system. We introduce a new adaptive background modeling technique, multimodal mean (MM), which balances accuracy, performance, and efficiency to meet embedded system requirements. Our evaluation compares several pixel-level foreground extraction techniques in terms of their computation and storage requirements, and functional accuracy for three r…

An Innovative Similarity Measure for Sentence Plagiarism Detection

2016

We propose and experimentally assess Semantic Word Error Rate (SWER), an innovative similarity measure for sentence plagiarism detection. SWER introduces a complex approach based on latent semantic analysis, which is capable of outperforming the accuracy of competitor methods in plagiarism detection. We provide principles and functionalities of SWER, and we complement our analytical contribution by means of a significant preliminary experimental analysis. Derived results are promising, and confirm to use the goodness of our proposal.