How is VR used to support training in industry? The INTUITION network of excellence working group on education and training

INTUITION is the European Network of Excellence on virtual reality and virtual environments applications for future workspaces. The purpose of the network is to gather expertise from partner members and determine the future research agenda for the development and use of virtual reality (VR) technologies. The working group on Education and Training (WG2.9) is specifically focused on understanding how VR is being used to support learning in educational and industrial contexts. This paper presents four case examples of VR technology currently in use or development for training in industry. Conclusions are drawn concerning future development of VR training applications and barriers that need to be overcome

A leukemia-protective germline variant mediates chromatin module formation via transcription factor nucleation

Non-coding variants coordinate transcription factor (TF) binding and chromatin mark enrichment changes over regions spanning >100 kb. These molecularly coordinated regions are named "variable chromatin modules" (VCMs), providing a conceptual framework of how regulatory variation might shape complex traits. To better understand the molecular mechanisms underlying VCM formation, here, we mechanistically dissect a VCM-modulating noncoding variant that is associated with reduced chronic lymphocytic leukemia (CLL) predisposition and disease progression. This common, germline variant constitutes a 5-bp indel that controls the activity of an AXIN2 gene-linked VCM by creating a MEF2 binding site, which, upon binding, activates a super-enhancer-like regulatory element. This triggers a large change in TF binding activity and chromatin state at an enhancer cluster spanning >150 kb, coinciding with subtle, long-range chromatin compaction and robust AXIN2 up-regulation. Our results support a model in which the indel acts as an AXIN2 VCM-activating TF nucleation event, which modulates CLL pathology

Dispositifs de protection par vision. Analyse paramétrique de descripteurs d'images permettant de détecter les altérations d'une texture connue (mire).

Les progrès accomplis ces dernières années dans le domaine des systèmes de vision numérique laissent entrevoir des possibilités de concevoir des dispositifs de détection de personnes de sécurité basés sur cette technologie. Une des principales difficultés pour la conception d'un tel dispositif est liée à la nécessité d'identifier dans une image (ou une séquence d'images), une ou plusieurs caractéristiques (dimensions, forme, texture, couleur, mouvement, etc.) qui traduisent la présence ou l'absence d'une personne dans un environnement industriel susceptible de varier fortement. En se basant sur l'hypothèse que la zone à protéger est matérialisée par une mire au sol contrastée périodique, ce document présente un ensemble de méthodes pour l'extraction d'informations de contour, de couleur, de texture, et évalue leurs limites pour un usage relatif à la sécurité des machines. Il a notamment été démontré que les algorithmes de détection basés sur les contours (transitions fortes dans l'image) ainsi que ceux basés sur les informations de teinte contribuent de façon significative à l'amélioration de la robustesse de la détection vis-à-vis des perturbations lumineuses. Ils permettraient donc d'assurer la fonction de détection (disponibilité) dans des conditions d'éclairement acceptables

EM323: a line search based algorithm for solving high‐dimensional continuous non‐linear optimization problems

International audienceno abstrac

Unidimensional Search for solving continuous high-dimensional optimization problems

International audienceno abstrac

Adaptive pattern search for large-scale optimization

International audienceThe emergence of high-dimensional data requires the design of new optimization methods. Indeed, conventional optimization methods require improvements, hybridization, or parameter tuning in order to operate in spaces of high dimensions. In this paper, we present a new adaptive variant of a pattern search algorithm to solve global optimization problems exhibiting such a character. The proposed method has no parameters visible to the user and the default settings, determined by almost no a priori experimentation, are highly robust on the tested datasets. The algorithm is evaluated and compared with 11 state-of-the-art methods on 20 benchmark functions of 1000 dimensions from the CEC’2010 competition. The results show that this approach obtains good performances compared to the other methods tested

A systematic engineering tool chain approach for self-organizing building automation systems

There is a strong push towards smart buildings that aim to achieve comfort, safety and energy efficiency, through building automation systems (BAS) that incorporate multiple subsystems such as heating and air-conditioning, lighting, access control etc. The design, commissioning and operation of BAS is already challenging when handling an individual subsystem; however when introducing co-operation between systems the complexity increases dramatically. Balancing the contradictory requirements of comfort, safety and energy efficiency and coping with the dynamics of constantly changing environmental conditions, usage patterns, user needs etc. is a demanding task. This paper outlines an approach to the systematic engineering of cooperating, adaptive building automation systems, which aims to formalize the engineering approach in the form of an integrated tool chain that supports the building stakeholders to produce site-specific robust and reliable building automation. © 2013 IEEE

Architecture for self-organizing, co-operative and robust Building Automation Systems

This paper provides an overview of the architecture for self-organizing, co-operative and robust Building Automation Systems (BAS) proposed by the EC funded FP7 SCUBA1 project. We describe the current situation in monitoring and control systems and outline the typical stakeholders involved in the case of building automation systems. We derive seven typical use cases which will be demonstrated and evaluated on pilot sites. From these use cases the project designed an architecture relying on six main modules that realize the design, commissioning and operation of self-organizing, co-operative, robust BAS. © 2013 IEEE