Technologies

The compact-GC platform is a MEMS-based analytical module for the purge&trap pre-concentration and (gas)-chromatographic separation of a sample. The two analytical MEMS (pre-concentrator and GC column) are interconnected by means of a MEMS microfluidic manifold. The microfluidic manifold interconnects the analytical MEMS, but it also acts as injector through the integrated micro-valves.

We propose a portable chemical analysis system capable of identifying chemical substances at trace concentrations (sub-ppm), even in case of a complex matrix of interfering species.

In the last years, genetics played a strategic role in the identification of therapeutic targets for complex diseases. Genetic studies identified thousands of variants contributing to disease onset and/or to the influence of measurable features (phenotypes) impacting health. The mechanism of action by which they modulate diseases and phenotypes is still unknown for the vast majority.

We offer integrated tools for the acquisition, analysis, modelling and optimization of visitor flows in museums characterized by frequent congestion and/or complex geometries. Our intervention is divided into 4 phases:

1) Data acquisition related to the paths followed by visitors in the museum, number of visitors in the rooms, time of permanence, ... The acquisition is performed via a specific IoT system, smartphone app or manual counting.

Solid State Nuclear Magnetic Resonance spectroscopy (SSNMR) is today one of the most powerful techniques for characterizing solid and soft materials and systems. This spectroscopy allows the detailed characterization of structural and dynamic properties over large spatial (0.1-100 nm) and time (10²-10^-11 s) scales. Accessing these properties allows a deep knowledge of a material to be obtained and  its design and optimization to be oriented.

Optical backplane for interconnection between boards of a high-capacity ICT apparatus, data-center, server and the related automatic assembly method. The solution is based on optical connections between boards with an optimized layout on a support with mechanical constraints that involve controlled deformations of commercial optical fibers with standardized connectors. The entire interconnection circuit is divided into N independent circuits, each of which makes the connections between all the boards (Full-Mesh).

An interoperable and modular Digital Geospatial Ecosystem (DGE) is proposed, designed, implemented and tested in order to: collect in real time, manage and share geographic data; make usable tools and functionalities to support actions to prevent, monitor and mitigate impacts from extreme events as well as to prepare for and respond to emergency situations. The DGE is composed of the following modules:

Network structures that require the use of a common database are affected by the risk of processing identification data that are necessary for sharing information and updating and processing data with equal access level between the network nodes. However, this sharing could lead risks of vulnerability when identification data are exchanged between the nodes of the network. The proposed information system involves the exchange of information by encrypting the identification data with an MD5 Hashing procedure (RFC1321).

This form describes a programmable, autonomous and stand-alone imaging system for the acquisition and processing of images containing subjects whose size is larger than 1cm (e.g. gelatinous zooplankton, fishes, litter, manufacts), form the seafloor or along the water column, in shallow or deep waters. It is capable to recognize and classify the image content through pattern recognition algorithms that combine computer vision and artificial intelligence methodologies.

WSense provides customizable and modular real-time, bi-directional, in-situ monitoring tools capable of sending real-time alarms. It makes possible to monitor the entire water column, on areas that can scale from a few tens of square meters to hundreds or thousands of square meters depending on the number of nodes deployed as needed. The monitoring system is implemented using submarine wireless communication nodes (W-Nodes) integrated with probes to monitor various parameters.