Application of neuroimaging to optimize observational learning from a mobile application: influences of age and brain function

One side effect of stroke is damage to the left parietal lobe, important in motor control of the right hand. Many stroke patients experience loss of motor skills and have difficulty relearning how to perform daily tasks. Recent reports from stroke rehabilitation centres have shown increased improvements in relearning basic motor skills upon incorporation of observational learning techniques into their therapies.

Closing the Gap of Write- vs. Read-intensive Data Stores Using SSDs Year Two

Many big data challenges are characterized not only by a very large volume of data that has to be processed but also by a high data production rate. In this project, new storage approaches for big data will be explored. Key point is the efficient use of modern hardware, especially modern storage technology such as SSDs. These new technologies have highly improved performance in comparison to traditional hardware. However, classical data structures and algorithms can not directly be applied due to the different characteristics of these devices.

Disaster Recovery as a Green Cloud Service: Balancing Risk, Cost, and Carbon

Unlike centralized computing, which is typically performed in a single data-center, Cloud computing enables the computation to be spread across multiple geographically distributed data-centers which are abstracted as a single system by the Cloud management layer. This computational model enables disaster recovery (DR) by re-establishing the services provided by a data-center affected by the disaster in another healthy data-center capable of hosting the applications providing these services.

Employing Network Analysis and Mining for Effective Crowdsourcing Market Research and Reporting

The main aim of the project is to develop the characteristics of a Prosumer, i.e. a consumer that interacts on-line with a company providing useful and insightful comments on its products. Data from consumer interaction databases are will be analyzed using the tools of data mining in order to accomplish the goals of the project.

Learning representations of customer behavior to drive actionable insights in e-commerce

Rubikloud enables online businesses to turn their data into revenue by turning the focus from visualization and interpretation to driving smarter data-driven decisions. A key challenge to leveraging the advances in machine learning research and development is the nature of event-based data encountered in this domain: clicks, purchases, impressions, and conversions. Machine learning techniques typically operate on fixed-length vector representations of data, for example, collections of attributes, images, and word counts of text documents.

Plasticity and Fit Brains in Mild Cognitive Impairment

Worldwide, one new case of dementia is detected every four seconds. At this point in time, no effective drug therapy exists for cognitive impairment and dementia. As a result, there is much interest in lifestyle approaches. Specifically, complex mental activity, such as cognitive training, may be a promising method to combat cognitive decline in older adults.

Assessing team functional state in emergency response

The need for better measurement of emergency response teams has been recognized as one of the key challenges that characterize the field of team work studies. Ideally, when assessing team performance, one should combine information about the nature of the team (e.g., what is the team structure?) and about its members (e.g., is one of the member exhausted?). This challenge is particularly hard to address in the context of emergency response, due to the inherent complexity and dynamism of the domain. For instance, how do you assess team member’s level of fatigue when deployed in the field?

Surveillance permanente de l’état des machines opérant àvitesse et charge variables

Le changement de comportement dynamique des machines tournantes (ponts roulants, éoliennes, robots) en fonction de la vitesse et de la charge se confond facilement avec un changement d’état de l’équipement, ce qui déclenche souvent de fausses alarmes sur des machines saines. De plus, la plupart de ces machines opèrent à très basses vitesses, ce qui cause des problèmes sur la sélection de capteurs efficaces et sur les normes inexistantes dans ce genre d’application.

Facteurs déterminants de la prise de risque : développement d’un outil de mesure

La pratique sportive, qu’elle soit compétitive ou récréative, bien que reconnue comme un facteur de protection pour la santé, comporte un risque de blessures ayant des conséquences significatives pour la santé des pratiquants. Des études montrent que les hommes de 12 à 24 ans (Hamel & Tremblay, 2012) sont les plus grandes victimes de traumatisme d’origine récréative et sportive (TORS). Une étude qualitative a permis de dresser un portrait des facteurs déterminants de la prise de risque en loisir.

Méthodologie et outils de conception de simulateur temps réel avec matériel dans la boucle sur FPGA

Pour tester les contrôleurs électriques dans les domaines tels que les systèmes de puissance, l’aéronautique et l’automobile, on doit réaliser des simulateurs temps réel des moteurs et d’autres dispositifs électriques afin de s’assurer de leur bon fonctionnement et de leur sécurité dans diverses circonstances (ex. la foudre qui frappe une ligne de transmission ou un avion). Par ailleurs, ces simulateurs doivent réagir très rapidement aux commandes (de l’ordre du millionième de seconde).