Technologies

The containers for plants and the like have different shapes, an open top to facilitate irrigation and material supply; a base that includes one or more holes to facilitate proper water drainage and to ensure ventilation for the rooting apparatus. An inconvenience of these containers is related to their placement in outdoor environments without roofs: in the presence of "unfavorable" climatic conditions, excessive exposure to rain water rather than excessive exposure to the sun, these containers expose plants to a series of problems.

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.

This technology is an e-health application. The DragONE application is inspired by the global guidelines for the management of asthma, which promote the opportunity to implement a multidimensional assessment of pediatric asthma using innovative systems. DragONE allows to record data on the subjective control of asthma, by using easy-to-understand colors and icons for children (red, yellow or green dragon), to keep track to the patient’s of perceived state.

Our innovative proposal involves an educational robotics training program, resulting from an experimental research that combines traditional educational approaches with the utilization of robotics. Specifically, the educational robot Thymio, developed by EPFL, serves as a facilitator in the learning process to enhance School Readiness.

The development of functional foods is often limited by industrial manufacturing processes, for example, for the production of baked foods, the use of high cooking temperatures causes denaturation of proteins, destruction of vitamins, alteration of fatty acids, etc. The protection of these components is essential in the production of gluten-free foods as they are generally poor in proteins and vitamins.

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:

Celiac disease and non-celiac gluten sensitivity affect a large portion of the world population. Furthermore, the percentage of people who adopt the gluten free diet is constantly increasing because it is perceived to be healthier. We have previously developed a food grade enzymatic procedure (transamidation) for wheat flour capable of making gluten unable to induce the inflammatory response in the intestine of celiac disease patients.

The prototype uses soil moisture sensors which, through a measurement of dielectric permittivity, estimate the soil moisture based on which irrigation is started through relay-controlled solenoid valve. The system was developed using Open Source technologies. Specifically, for the hardware components, a small sized board computer Raspberry PI 3B + was used together with a 4G LTE Wi-Fi router and a Modbus rs485 / USB converter.

We present a new concept of ultra-compact, configurable and implantable brain computer interface (BCI). The device can be applied to monitor or stimulate, with high temporal and spatial accuracy, neural activity of the brain. It allows implementation of closed-loop algorithms in real time applications. The system can be also used in vitro to monitor or induce cell growth or as tDCS tool. The system can be customized (microelectrodes materials and shapes) to guarantee the best solution for the specific application.

uManager is a management game designed to foster the development of young students' entrepreneurial skills and abilities. The game offers the opportunity to manage a tourist village, stimulating the skills of decision making and problem-solving in a simulated scenario adhering to the real one. uManager is suitable for use in the classroom or at a distance, in formal and informal contexts.

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.

X-ray imaging techniques can work in i) "full-field mode" in which the object to study (or part of it) is completely illuminated by the X-ray beam; ii) "scanning mode" in which an X-ray beam, focused through an opportune optics, illuminates in succession contiguous areas of the sample under examination, and the transmitted wave is measured by a detector placed at a proper distance from it. One of these X-ray scanning microscopes is available at the facility (X-ray MicroImaging, XMIL@b) of the Institute of Crystallography (CNR-Bari).