Projects

eID@Cloud: Integrating the eIdentification in European cloud platforms according to the eIDAS Regulation

Hipersectores

Áreas de investigación

Agreement number: INEA/CEF/ICT/A2016/1271635
Action No: 2016-EU-IA-0064
Start date: 01/05/2017. Duration: 18 months

The “Institute of Industrial Control Systems and Computing (ai2) from Universitat Politécnica de València” is participating in the eID@Cloud Project.

eID@Cloud is a research Project funded by Connecting Europe Facility Programme with the aim of
integrating the eID system in the cloud platforms of 5 service providers (EDICOM, Officient, Aksesspunkt, eConnect and Unimaze) and connecting the to 5 different eIDAS nodes (Spain, Norway, Denmark, Netherlands and Iceland) to allow entities from one country to access service in another with their local indentification.

Main objectives of eID@Cloud are:

  • To promote the uptake and use of the eID DSI.
  • To facilitate access to the services provided by the 5 cloud platforms to all EU citizens and businesses using their national eID.
  • To facilitate EU citizens and businesses cross-border mobility using their national eID.
  • To support the Digital Single Market.

The consortium includes the following 8 partners: University Carlos III of Madrid (Coordinator), EDICOM, Officient, Aksesspunkt Norge, eConnect, LMT group, Unimaze, and Universidad Politecnica de Valencia. From those partners, 5 are private entities of the eID@Cloud consortium specialized in Integration Brokerage (EDICOM, Officient, Aksesspunkt Norge, eConnect and Unimaze). They will introduce the AS4 in their solutions and develop their SMP according to the EU Core Service Platform.
This project will support several generic eDelivery and eCommerce services of European companies, providing the eID authentication to the cross-border communication and the validation and integration of the information exchanged in the contexts B2B, B2C and B2G. The 5 cloud platforms will be able to request, receive and process the new set of identification data received from the eIDAS node under the eIDAS Regulation.

Full information about the project can be seen at the project web page:
http://www.eidcloud.eu/


MADE: Multiple Access to eDElivery

Hipersectores

Áreas de investigación

Agreement number: INEA/CEF/ICT/A2016/1278042
Action No: 2016-EU-IA-0063
Start date: 01/01/2017. Duration: 24 months

The “Institute of Industrial Control Systems and Computing (ai2) from Universitat Politécnica de València” is participating in the MADE Project.

MADE is a research Project funded by Connecting Europe facility Programme with the aim of promoting the use of the eDelivery DSI (Digital Service Infrastructure) amongst both private and public entities by implementing six new Access Points, integrating the AS4 protocol, and their respective Service Metadata Publishers (SMP).

Main objectives of MADE are:

  • To make their electronic registered delivery services ‘qualified’, in compliance with the requirements set in the eIDAS Regulation (Regulation EU 910/2014 on electronic identification and trust services).
  • To promote the use of the eDelivery DSI (Digital Service Infrastructure) amongst both private and public entities.
  • Implementing six new AS4 Access Points and SMP in different EU countries and show interoperability.

The consortium includes the following 9 partners: University Carlos III of Madrid (Coordinator), EDICOM, BIZbrains, Officient, Aksesspunkt Norge, eConnect, LMT group, Unimaze, and Universidad Politécnica de València. From those partners, 6 are private entities of the MADE consortium specialized in Integration Brokerage (EDICOM, BIZbrains, Officient, Aksesspunkt Norge, eConnect and Unimaze). They will introduce the AS4 in their solutions and develop their SMP according to the EU Core Service Platform.

This will allow the thousands of European companies that are already using the eDelivery services provided by the members of the consortium to have access to the cross-border exchange of electronic documents according to the technical specification of the EU core service platform and based on the e-SENS AS4 Profile.

Full information about the project can be seen at the project web page:
http://www.madepro.eu/


System to reconstruct grape clusters in 3D and assess their quality

Hipersectores

Áreas de investigación

System to reconstruct grape clusters in 3D and assess their quality

In the project “Assessment of grape cluster yield components based on 3D descriptors using stereo vision” our researchers have developed software to help reconstruct grape clusters with three-dimensional computer vision techniques. The system helps to automatically assess different parameters that define the quality of the wine grape during harvest time.

During the work, the researchers of the Instituto ai2 collaborated with the Research Centre of Vine and Wine related Sciences of the University of La Rioja, the Spanish National Research Council (CSIC) and the Government of La Rioja. The results of this work were released last September in the journal Food Control.

Antonio José Sánchez Salmerón, researcher at the Instituto ai2 of the UPV, explains that, today, grape classification is based on an inspection by a panel of experts, that award it score depending on a series of parameters that determine its quality. Moreover, different tests are performed in the laboratory in order to estimate the quantity of sugar, the pH, the total acidity and the phenolic quality.

Among the factors that define the quality of a wine, one of the most important is the quality of the grape as the raw material, but this concept is difficult to assess, due to problems such as subjective parameters, the short period of time available in the field to do the analysis during harvest time, the lack of measuring instruments and their high price, as well as the mixing of good quality and bad quality grape in the trucks. The introduction of this 3D grape reconstruction system helps assess different quality parameters for a wine grape cluster avoiding these problems. One of these parameters is the average size of the grape, which is a very important factor as it establishes the ratio between the quantity of skin and pulp”, explains the researcher.

Increasing the objectivity and automating the grape quality monitoring tasks would be a technological breakthrough with regard to the traditional evaluation system of the grape, based on the knowledge of an expert, and it would have a great impact on the wine industry”, adds Sánchez.

References

E. Ivorra, A.J. Sánchez, J.G. Camarasa, M.P. Diago, J. Tardaguila. Assessment of grape cluster yield components based on 3D descriptors using stereo vision. Food Control. DOI: 10.1016/j.foodcont.2014.09.004

Contact: Antonio José Sánchez Salmerón


A clinical trial, pioneered in Spain, studies the efficiency of an artificial pancreas

Hipersectores

Áreas de investigación

A clinical trial, pioneered in Spain, studies the efficiency of an artificial pancreas

The Instituto ai2 of the Universitat Politècnica de València, the Instituto de Investigación Sanitaria (INCLIVA) of the Hospital Clínico Universitario de Valencia, the Hospital Clínic de Barcelona and the Polytechnic School of the Universitat de Girona (UdG) are developing a clinical trial being pioneered in Spain, in order to study the efficiency of an artificial pancreas, one of the latest advances in diabetes technology.

The artificial pancreas is a device that automates insulin delivery from real-time measurements of glucose by means of a mathematical control algorithm. The artificial pancreas aims at achieving glycaemic objectives for any patient at any time by interconnecting current insulin pumps and continuous glucose monitors, already in use by type 1 diabetes patients.

Research on diabetes technology dates back to 2004, when researchers at the Instituto Universitario de Automática e Informática Industrial of the UPV (Jorge Bondia) and at the Institute of Informatics and Applications of the Universitat de Girona (Josep Vehí) decided to search for solutions to one of the biggest problems for diabetes patients; determining the quantity of insulin necessary at any given time.

Currently, according to Jorge Bondia, “the patient undergoes an intensive insulin therapy, either with multiple daily injections or with continuous infusion with insulin pumps. The intensive insulin therapy can be very effective, but it causes an increase in hypoglycaemic episodes if insulin doses are overestimated. Severe hypoglycemia can lead to diabetic comma and even death”. Glycaemia monitoring is a basic element in the treatment and control of diabetic patients.

According to Dr. Ampudia-Blasco, from the Endocrinology Department of the Hospital Clínico Universitario, “Type 1 diabetes mellitus is a chronic disease which requires the administration of insulin for life. Today, for those patients who do not achieve an optimum glycaemc control with the administration of multiple insulin injections, the use of insulin pumps or systems of continuous subcutaneous infusion of insulin (CSII) can be an alternative. The research done for the last few years has proven that, besides these CSII systems, the joint use of an insulin pump and a continuous glucose monitoring system (CGM) can be useful for selected patients in order to improve the control of the glycaemia levels”.

However, the existing systems do not automatically make decisions, and they always require that the patient interprets the glucose number and decides what to do at any given time with respect to the dose of insulin they have to administer.

Recently, with the aim of improving the control of this disease, the T1DM patient conditions and their quality of life, different initiatives to automate the glucose monitoring and the insulin dosage have started. The closed-loop system, commonly known as artificial pancreas (AP), is a system that incorporates a smart control algorithm (controller), that interprets the results about the glucose provided every few minutes by a glucose sensor and decides the quantity of insulin which must be automatically administered at any time. Along this time, research on mathematical modelling of diabetes pathophysiology, glucose prediction under variability, insulin pump therapy optimization, calibration algorithms for continuous glucose monitors and algorithms for the artificial pancreas has been conducted.

In this context, one of the main problems these PA systems have to face is the control of the glucose numbers after meals, as they must avoid an excessive infusion of insulin, which can cause hypoglycaemia. Besides this, the PA must regulate the infusion of insulin during the night, where different prototypes have already proven its efficiency.

This trial intends to test the efficiency of an automatic controller with an original design for the adjustment of glucose levels after meals focusing on the analysis of how much variability the closed-loop system is able to compensate as compared to traditional insulin pump therapy. The controller interprets the glucose results provided by a glucose sensor and decides, every 15 minutes, the quantity of insulin that must be administered automatically. “By controlling the glucose levels in the blood in a such effective way, we could reduce the health problems related to persistent hypoglycaemia,” says the Dr. Ampudia-Blasco.

20 patients with type 1 diabetes are taking part in the study with an CSII treatment: ten from the Hospital Clínico Universitario de Valencia and ten from the Hospital Clinic de Barcelona.

According to the Dr. Juan F. Ascaso, Head of the Endocrinology and Nutrition Department of the Hospital Clínico Universitario de Valencia, “the artificial pancreas should give the patients autonomy and safety, allowing them to live with the disease without obsession. Besides that, it must avoid the complications caused when glucose levels fall. It consists of an approach to custom-designed treatments for each patient which reduce the problems caused by the treatments and costs“.

According to the General Manager of the INCLIVA, Dr. Rafael Carmena, “this research brings a message of hope to the diabetic patients. The development of an artificial pancreas systems can improve, in the near future, the control of type 1 diabetes, the patients’ conditions and their quality of life. When they have been perfected, they will remove the necessity of manually injecting insulin and they will guarantee the administration of exact doses every time”.

About Diabetes

Diabetes is increasing the burden of disease all over the world, particularly in developing countries. Causes are complex, but they are mostly related to a quick increase in weight, obesity and physical inactivity. The WHO expects diabetes to become the seventh leading cause of death worldwide in 2030 and calculates that the deaths from diabetes will increase by more than 50% in the next 10 years. Today, in the world, there are more than 347 million people with diabetes, among which approximately 10% suffer from type 1 diabetes..

References:

This trial is lead by Dr. F. Javier Ampudia-Blasco, from the Endocrinology Department of the Hospital Clínico Universitario (Department Head: Dr. Juan Ascaso), in collaboration with the Dr. Paolo Rossetti, at the Hospital Fransesc de Borja in Gandia and researcher at the INCLIVA. Two engineers are also taking part as the main co-researchers, Jorge Bondia, from the Instituto Universitario de Automática e Informática Industrial of the UPV, and Josep Vehí, from the UdG, as well as Dr. Ignacio Conget, Dr. Marga Giménez and Dr. Carmen Quirós, from the Hospital Clínic de Barcelona. The study is part of the project CLOSEDLOOP4MEAL, funded by the Spanish Ministry of Economy and Competitiveness, and coordinated by Dr. Jorge Bondia.

Contact: Jorge Bondia

Further information about the project: http://www.insulaid2.org

About MEDERI Living Lab


DREAMS: Distributed Real-time Architecture for Mixed Criticality Systems. Avionics and Windpower.

Hipersectores

Áreas de investigación

DREAMS – Distributed Real-time Architecture for Mixed Criticality Systems

In many domains such as avionics, industrial control or healthcare there is an increasing trend for mixed-criticality systems, where multiple functions with different importance and certification assurance levels are integrated using a shared computing platform. The foundations for this integration are mechanisms for temporal and spatial partitioning, although key technological challenges are yet unsolved including the combination of software virtualization and hardware segregation and the extension of partitioning mechanisms to jointly address significant extra functional requirements (e.g., time, energy and power budgets, reliability, safety, security, etc.).

The objective of DREAMS is to develop a cross-domain architecture and design tools for networked complex systems where application subsystems of different criticality, executing on networked multi-core chips, are supported. DREAMS will deliver architectural concepts, meta-models, virtualization technologies, model-driven development methods, tools, adaptation strategies and validation, verification and certification methods for the seamless integration of mixed-criticality to establish security, safety, real-time performance as well as data, energy and system integrity.

The ambitious goals of the project are supported by 16 project partners distributed across six European countries. The project partners include major European companies encompassing large enterprises (Alstom, STMicroelectronics, Thales, TÜV Rheinland) and SMEs (FENTISS, RealTime-at-Work, TTTech, Virtual Open Systems,). Furthermore leading universities and research institutes (FORTISS, IKERLAN, ONERA, Universitat Politècnica de València, SINTEF, Technological Educational Institute of Crete, Technical University of Kaiserslautern and University of Siegen) contribute to DREAMS.

DREAMS works on three industrial cases related to avionics, windpower and healthcare. The Instituto ai2 of the Universitat Politècnica de València, together with the company Fentiss, works on avionics and windpower projects.

The four-years DREAMS project (2013-2017) is coordinated by University of Siegen and is one of three projects funded by the European Commission in the area of mixed-criticality systems from the FP7 ICT call 10. The EC financial contribution amounts to 11 million euros.

Contact: Alfons Crespo Lorente

Further information: http://www.dreams-project.eu//


NEURO-TAR: application for real-time knowledge of the evolution of a brain injury

Hipersectores

Áreas de investigación

An application provides real-time knowledge of the evolution of a brain injury

People with brain injuries can benefit from a new project that integrates cutting edge technology in the rehabilitation of their motor impairments, in swimming pools and on dry land, and provides the specialist with real-time values and measurements on the patient’s progress. The project ‘NEURO-TAR’ was developed by the Instituto Universitario de Automática e Informática Industrial (Instituto ai2) of the Universitat Politècnica de Valencia (UPV) and the company Inia Neural and is currently in the validation phase in over thirty patients with acquired brain injury.

Hermengildo Gil, researcher at the Instituto ai2, and Rafael Romero, from the company Inia Neural, highlight that this new system, financed with 268,000 euros from the Centre for the Development of Industrial Technology (CDTI), enables more efficient rehabilitation in both adults and children.

The software developed by the researchers at the Instituto ai2 of the UPV aims to change the traditional rehabilitation process that currently exists in the company for a new, innovative system. This system enables the development of a number of interactive games for rehabilitating patients with brain injuries while recording, in real time, a number of values and measurements on the patient’s progress, of interest to the specialists. The data is recorded by a software platform implemented within the project, and it provides the specialists with records of measurements of balance, gait or limb mobility as the patient undergoes rehabilitation, minimising the need to obtain measurements for evaluation outside of the activities. In addition, the software uses the recording of these measurements to provide feedback, so that they can be used to adapt the system to the evolution of each patient in each session, which will enable customised rehabilitation programmes to be drawn up.

The technological treatment can be applied in two different environments: in water and on dry land, and includes collaborative and competitive exercises for patients of different ages and in different stages of their rehabilitation process.

Rafael Romero highlights that, for the first time in Spain, experiments are under way with adult patients in water, a medium that reduces both spasticity (motor impairment of the nervous system in which some muscles are permanently contracted) and the risks. The exercises are projected onto a large exterior screen for the patient to do, using a play format and supported by the therapist at all times, and the successes and failures that the patient achieves during the therapy. According to Romero, one of the advantages of this new technology is that it enables objective measurement of the patient’s therapy and their evolution and progress “knowing exactly what level has been obtained in their potential autonomy“.

 References

 Neuro-TAR (Technologies for Active Rehabilitation). Members: Albero Gil, Miguel; Gil Gómez, Hermenegildo; Gil Gómez, José Antonio; Juan Lizandra, María Carmen; Lozano Quilis, Jose Antonio.

Contact: Hermenegildo Gil


 

 

 

 

 

Cómo llegar I  Planos I Contacto
Universitat Politècnica de València © 2015 · Tel. (+34) 96 387 90 00 · informacion@upv.es
campus UPV de excelencia campus UPV de excelencia