Projects | Page 2

Funspeech

FunSpeech Promoting speech production in young children with hearing disabilities

SIG-Solaire

Update to the solar land registry of the canton of Geneva with new LiDAR 2013 altimetry data, taking advantage of the resources of cloud computing developed at HEPIA.

Portable Cloud Appliance - PAChA

Non-IT SMEs often stay away from public clouds because they cannot quantify the financial gain of using these new technologies. The PAChA project has two goals:

eSCT - eScience Coordination Team

eScience Coordination Team (eSCT) project is part of the SUC P-2 “Scientific information: access, processing and safeguarding” program. The goal of eSCT is to form a national coordination service that provides support for research computing in Switzerland.

iNUIT

Internet of Things and Urban Innovation (iNUIT) is an applied research program funded by HES-SO. Started in 2014, it initially focused on crowd monitoring, with the aim of optimising the mobility and physical safety of visitors during major events.

iCeBOUND

The goal of iCeBOUND (Cloud Based Decision Support System for Urban Numeric Data) is to design and develop a Decision Support System (DSS) that leverages 3D digital urban data to facilitate environmental analyses in cities. iCeBOUND aims at providing:

Cleancity

Development of tools and methods to serve urban planning project managers and authorities enabling them to obtain predictions on the impact of projects in terms of air quality (ventilation of districts, dispersion of pollutants, etc.).

Cloud Monitoring

The goal of the CloudMon project is to develop a set of monitoring tools that enable a small business or enterprise to optimally deploy applications in a hybrid cloud, taking into account capital and operational costs.

European Desktop Grid Initiative

EDGI will develop middleware that consolidates the results achieved in the EDGeS project concerning the extension of Service Grids with Desktop Grids (DGs) in order to support European Grid Initiative (EGI) and National Grid Initiative user communities that are heavy users of

CPUGPU

Parallel Computing on a CPU-GPU Cluster: Combinatorial optimisation generally requires huge computational resources. The field of bioinformatics, particularly with proteomics and genomics, illustrates this problem.

Data sciences, interactive systems and artificial intelligence – DASIA