Technologies

4Ts Game was born in ITD in 2017 to indicate a board game for teacher training, which aims to develop skills in designing collaborative learning activities. The game was originally conceived as a 'tangible' game, consisting of a board and 4 decks of paper cards which contain inputs that guide the teachers/players' design process. Subsequently the game evolved and was developed in its digital version. In this version, developed in Unity and with an underlying knowledge base in Prolog, the game is able to provide feedback to teachers regarding the design/game choices made.

B-ME developed the first thermoplastic composite electrode film based on bio-derived and biodegradable polyesters and carbon nano-fibers. It is metal-free, highly electrically conductive and possess good thermo-mechanical properties, a challenging combination of three features in a single product. This is the first-of-its-kind product, as, to the best of our knowledge, no thermoplastic biobased electrode film has been effectively produced and used so far.

CPIAbot is a conversational assistant supporting the learning of Italian L2 for migrants. It has been tested in particular in the context of CPIA - Centri Provinciali per l'Istruzione degli Adulti - MIUR.

The insertion of executable programs within QR codes is a new enabling technology for many application contexts in everyday life. Every time Internet access is unavailable, QR code usage is limited to reading the data it contains without any possibility of interaction.

Health360 is a software framework for building cloud platforms to monitor the health of subjects recruited in clinical trials, residents of social housing or athletes in sports teams. The framework is based on interconnected and configurable modules to implement platforms that meet specific needs while maintaining a high level of usability.

Mergers e Acquisitions represent important forms of business deals because of the volumes involved in the transactions and the role of the innovation activity of companies. By considering the patent activity of about one thousand companies, we develop a method to predict future acquisitions by assuming that companies deal more frequently with technologically related ones.

It enables a systemic and evolutionary development of people, organisations and territories by overcoming the criticality of traditional approaches, which get stuck because of rationalistic reductions in complexity, as well as lack of motivation. This responds to the social sustainability needs highlighted by the UN 2030 agenda. The methodology is based on 3 pillars:

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.

The NanoMicroFab infrastructure, support companies operating in the field of micro and nanoelectronics through the supply of materials, development of processes, design, fabrication and characterization of materials and devices. NanoMicroFab makes use of existing CNR facilities of the Institute of Microelectronics and Microsystems, the Institute of Photonics and Nanotechnologies and the Institute for the Structure of Matter and provides: • a complete line of development of devices based on wide band gap semiconductors.

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).

The platform allows the deployment of a sensor network with peripheral nodes spread on the crop fields or on the environment for the monitoring of crop parameters/environmental parameters. The network architecture integrated LoRa peripheral nodes for short-medium range communication and star-center NB-IoT based for long range communication. It includes a web server and MySQL database for data storage and visualization. The network architecture is scalable to adapt to the area to monitor.

The platform allows acquisition of data from commercial and custom sensors. By now, the system has been embedded in a wearable wristband where elastomeric based strain gauge have been integrated to detect fine hand/wrist/arm movements. The platform integrates inertial sensors (accelerometers, gyroscopes) to acquire more details about the subject movements. A sensor-fusion algorithm enables advanced movement recognition (gesture, 3D orientation). A machine-learning algorithm is in development to increase the performance of the platform.

The proposed technology deals with the development of active SERS (Surface Enhanced Raman Scattering) substrates ad hoc designed for diagnostics of cultural heritage. The substrates are prepared starting from common commercial 'polishing film' sheets (lapping optical fibers) showing an intrinsic roughness (48- 1000 nm) that favors the SERS effect. A pattern of silver or gold nanoparticles are deposited on these films through Pulsed Laser Deposition (PLD).

The Q-PLL is an innovative nonlinear circuit which is able to synchronize to a signal comprising two or more incommensurate frequencies (forcing).

When the forcing contains two prevailing frequencies the locking response is a third frequency parametrically selected among those prescribed by the theory of three-frequency resonances in dynamical systems.

In particular, the locked frequency is closely related to the pitch perception of complex sound in humans.

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: