Digital Innovation Hubs

DIH Profile

AIR4S - Artificial Intelligence & Robotics for Sustainable Development Goals

Hub Information

Hub Name
AIR4S - Artificial Intelligence & Robotics for Sustainable Development Goals
Local Name
AIR4S - Inteligencia artificial y robótica para los Objetivos de Desarrollo Sostenible
Evolutionary Stage
Fully operational
Geographical Scope
International

Description

Artificial Intelligence & Robotics for Sustainable Development Goals (AIR4S) is the one-stop-shop hub in Madrid Region that provides innovative solutions and services to Industry and Public Administrations on Artificial Intelligence and Robotics based technologies. AIR4S bets for the accomplishment of Sustainable Development Goals (SDG) as a way to leverage growth on organizations in a sustainable way and to effectively return to the society their investment.

The DIH seeks to promote the development and growth of industry in the Community of Madrid through the use and implementation of technologies based on artificial intelligence and robotics as a driver of change and transformation of industrial and business activity in line with the objectives of recent initiatives promoted by the regional and national government. Its activity is non-profit, as it aims to facilitate the digitisation process of the business fabric of the Community of Madrid (more than 90% of which is made up of SMEs and Startups) and of the Public Administration. All the project's resources are invested in achieving these objectives aimed at social and economic change and transformation.

AIR4S is promoted and coordinated by UPM, and it counts with the participation of outstanding partners strongly committed to complete an amazing open innovation ecosystem to drive companies to transform, grow and become more competitive in the digital world.

AIRS4S will help entities, specially SMEs but also midcaps, big companies and public administrations, to improve their products, services and processes, by introducing the great advantages of Artificial Intelligence and Robotics into their business. UPM firmly believes that the future of innovation in these technologies is to address the co-creation of the digital future together with other disciplines in research, open innovation and education, aligning business and growth with the Sustainable Development Goals.

AIR4S vision is to become a reference DIH in Europe contributing to the digitization of industry by transforming companies and public administration through Artificial Intelligence and Robotics, aligned with the Sustainable Development Goals and being respectful with the social, legal and ethical aspects of these technologies.

To achieve this vision AIR4S internally operates in a network of 5 Research Institutes, 13 Research Centers, 3 Innovation Centers and 200 research groups where professors, researchers, engineers, students, business developers and entrepreneurs, physically come together to jointly co-create the digital future in all areas of Engineering and Architecture.

AIR4S Structure

AIR4S ecosystem

Thanks to this UPM broad environment, AIR4S can provide all-disciplines-companies a multidisciplinary and personalised approach and consequently address multisector domains in a confident way, bringing together world-class technological expertise and infrastructure on AI & Robotics but also deep knowledge on how to apply these technologies on different market domains. The expertise and collaborations of the different sectoral Centers/Schools definitively contributes to support organizations in their related field, tackling their digitization process really from the market need (eg: Agronomics School, Forestry School, Biomedical Technology Center, Mines and Energy School, etc.).

UPM is a leader in AI & Robotics technologies, with a number of H2020, National and Regional Research and Innovation projects, but also with long-term direct alliances with companies which fully acknowledges UPM track record expertise in these technologies. UPM is Founding Member of the Big Data Value Association (BDVA) and Member of the euRobotics Association, and is actively contributing to the European Artificial Intelligence Alliance and the EuroHPC Joint Undertaking.

The DIH is complemented by leading stakeholders that will successfully complement AIR4S services and impact thanks to its huge expertise proving services to entities, supporting different funding models and disseminating innovation in the region. 

AIR4S is supported by many funding sources, but specifically by the Madrid Region innovation hubs call with 450K€ for the 3-year period 2019-2020.

The partners involved in AIR4S are:

AIR4S partners

Inteligencia Artificial y Robótica para los Objetivos de Desarrollo Sostenible (AIR4S) es la ventanilla única en la Comunidad de Madrid que proporciona soluciones y servicios innovadores a la Industria y a las Administraciones Públicas sobre tecnologías basadas en la Inteligencia Artificial y la Robótica. AIR4S apuesta por el cumplimiento de los Objetivos de Desarrollo Sostenible (ODS) como forma de apalancar el crecimiento de las organizaciones de forma sostenible y de devolver a la sociedad de forma efectiva su inversión.

El DIH trata de impulsar el desarrollo y crecimiento de la industria de la Comunidad de Madrid a través del uso e implantación de las tecnologías basadas en la inteligencia artificial y la robótica como motor de cambio y transformación de la actividad industrial y empresarial en consonancia con los objetivos de las recientes iniciativas impulsadas por el gobierno regional y nacional. Su actividad no tiene ánimo de lucro, ya que apunta a facilitar el proceso de digitalización del tejido empresarial de la Comunidad de Madrid (compuesto por PYMEs y Startups en más de un 90%) y de la Administración Pública. Todos los recursos del proyecto se invierten en la consecución de estos objetivos orientados al cambio y transformación social y económico.

AIR4S está promovido y coordinado por la UPM, y cuenta con la participación de destacados socios fuertemente comprometidos para completar un sorprendente ecosistema de innovación abierta que impulse a las empresas a transformarse, crecer y ser más competitivas en el mundo digital.

AIRS4S ayudará a las entidades, especialmente a las pymes pero también a las midcaps, grandes empresas y administraciones públicas, a mejorar sus productos, servicios y procesos, introduciendo las grandes ventajas de la Inteligencia Artificial y la Robótica en su negocio. La UPM cree firmemente que el futuro de la innovación en estas tecnologías pasa por abordar la cocreación del futuro digital junto con otras disciplinas de la investigación, la innovación abierta y la educación, alineando el negocio y el crecimiento con los Objetivos de Desarrollo Sostenible.

La visión de AIR4S es convertirse en un DIH de referencia en Europa contribuyendo a la digitalización de la industria transformando las empresas y la administración pública a través de la Inteligencia Artificial y la Robótica, alineado con los Objetivos de Desarrollo Sostenible y siendo respetuoso con los aspectos sociales, legales y éticos de estas tecnologías.

Para lograr esta visión AIR4S opera internamente en una red de 5 Institutos de Investigación, 13 Centros de Investigación, 3 Centros de Innovación y 200 grupos de investigación donde profesores, investigadores, ingenieros, estudiantes, desarrolladores de negocio y emprendedores, se reúnen físicamente para co-crear conjuntamente el futuro digital en todas las áreas de la Ingeniería y la Arquitectura.

AIR4S Structure

Gracias a este amplio entorno de la UPM, AIR4S puede proporcionar a las empresas de todas las disciplinas un enfoque multidisciplinar y personalizado y, en consecuencia, abordar los dominios multisectoriales de una manera segura, reuniendo la experiencia tecnológica de clase mundial y la infraestructura en la IA y la robótica, pero también un profundo conocimiento sobre cómo aplicar estas tecnologías en diferentes dominios del mercado. La experiencia y las colaboraciones de los diferentes centros/escuelas sectoriales contribuyen definitivamente a apoyar a las organizaciones en su campo relacionado, abordando su proceso de digitalización realmente desde la necesidad del mercado (por ejemplo, la Escuela de Agronomía, la Escuela Forestal, el Centro de Tecnología Biomédica, la Escuela de Minas y Energía, etc.).

La UPM es líder en tecnologías de IA y robótica, con una serie de proyectos de investigación e innovación de H2020, nacionales y regionales, pero también con alianzas directas a largo plazo con empresas que reconocen plenamente la experiencia de la UPM en estas tecnologías. La UPM es miembro fundador de la asociación Big Data Value (BDVA) y miembro de la asociación euRobotics, y contribuye activamente a la Alianza Europea de Inteligencia Artificial y a la empresa común EuroHPC.

El DIH se complementa con los principales actores que complementarán con éxito los servicios y el impacto de AIR4S gracias a su enorme experiencia prestando servicios a las entidades, apoyando diferentes modelos de financiación y difundiendo la innovación en la región. 

AIR4S cuenta con el apoyo de muchas fuentes de financiación, pero específicamente de la convocatoria de hubs de innovación de la Comunidad de Madrid con 450K€ para el periodo de 3 años 2019-2020.

Los socios que participan en AIR4S son:

AIR4S partners

Contact Data

Coordinator (University)
UNIVERSIDAD POLITECNICA DE MADRID
http://www.upm.es
Year Established
2017
Location
C/ Ramiro de Maeztu 7, 28040, Madrid (Spain)
Website
http://www.upm.es/dih-air4s
Social Media
Contact information
Asunción Gómez-Pérez
dih-air4s@upm.es
+34910670416

Organisation

Organizational form
(part of) Public organization (part of RTO, or university)
Turnover
>5.000.000
Number of employees
>100

Technologies

  • Communication networks
  • Cyber physical systems
  • Robotics
  • Internet of things
  • Artificial intelligence
  • Mobility & Location based technologies
  • Interaction technologies
  • Cyber security
  • Advanced, or high performance computing
  • Big data, data analytics, data handling
  • Virtual, augmented and extended reality
  • Simulation, modelling and digital twins
  • Gamification
  • Software as a service and service architectures
  • Cloud computing
  • Logistics
  • Internet services
  • New media technologies

At Regional level, AIR4S is fully involved in the MadrIDtech Strategy, which includes support to companies in the digitization process. It includes aids and incentives to companies for hiring innovation services, funding resources, and link to innovation spaces. Besides that, MadrIDtech wants to create a vertebrate and sustainable business innovation ecosystem that allows the region to be placed at the top of European and international innovation. AIR4S is part of this ecosystem and receives regular funding to work with companies in the search for digital solutions to their problems. Specifically, UPM is funded by Madrid Government with 450K€ for three years to provide innovation services (training, business support, technological services…) to companies.

UPM is also partner of the RoboCity Digital Innovation Hub set up in Madrid Region, providing  Robotic-based solutions to companies.

AIR4S is fully aligned with Madrid Region RIS3 strategy, both regarding the areas of relevance and the actions proposed. The areas proposed are Nanotechnologies, Advanced Materials, Industrial and Space Technologies; Health, Biotechnologies, Water and Agrofood; Energy, Climate and Transport; and Information and Communication Technologies. Obviously, AI&Robotics technologies fit perfectly into ICT area, but additionally, as the technologies proposed in the DIH are fully cross-sectoral and it incorporates also the expertise from Engineering Schools dealing with application domains, AIR4S is clearly relevant for all areas of the Madrid Region RIS3 Strategy.

Regarding the actions proposed by the RIS3 Strategy, most of these services are directly offered by AIR4S DIH, such as: favour the access to technology to SMEs, technology transfer support, support to execution of R&D&I projects, coordination of Research and infrastructure services.

UPM and AIR4S is also linked to the Spanish National initiative Industria Conectada 4.0. The strategy aims to develop the right conditions to promote the competitiveness of Spanish companies. MadrIDtech and Industria Conectada 4.0 are aligned and allows companies to collaborate with AIR4S partners in the delopment of projects to support digitization of Industry, specially SMEs.

Furthermore, UPM is member of the Steering Board of PLANETIC, the Spanish ICT Technology Platform, and es.INTERNET, the Spanish Technology Platform to support companies to develop Future Internet services and products. Also, UPM is member of other National Technology Platforms in sectoral domains which can take advantage of Artificial Intelligence and Robotics technologies to improve their competitiveness.

At European level, UPM and the rest of partners of AIR4S are very committed to Digitizing European Industry policy and connected with many of the initiatives in Europe to make it happen. For instance, UPM is Founding Member of BDVA, where leads the Task Force on Skills, and co-leads the subgroup on HPC-Big Data-Artificial Intelligence convergence. UPM is also Member of euRobotics, very active on bio-inspired robotics and telerobotics.

FundingBox is also connected to several EU initiatives related to Digital Innovation Hubs, highlighting the DIHNET network, which aims to build a pan EU network of networks that ensure collaboration and quality among hubs, competence centres, and Regional and National programmes and infrastructures. The final objective of this EU DIH network is to ensure the best possible support to SMEs and midcaps.

Accenture, a company with 12000 employee and turnover of 999M€ in Spain, also provides link to the Liquid Studio and Innovation Hub networks, devoted to offer entrepreneurs innovation spaces to mature concept ideas and reach the market. Both innovation spaces bring together 56 organizations and count for AI 159 events, 82 innovation sessions, more than 70 PoC projects and a 38M€-business generated.

In order to back all these capacities and links to digitizing industry initiatives, UPM has a proven track record on AI&Robotics technologies as it is showed by their numbers: 30 FP7 projects and 20 H2020 AI&Robotics related projects. Within them, it is worth mentioning ACTIVAGE, VICINITY, BigMedilitycs, Transforming Transport, CPSE Labs, BDVe, AI4EU or UNEXMIN. Moreover, thanks to the participation in those projects UPM participates in the IoT European Platforms Initiative (IoT EPI) and Smart Anything Everywhere Initiative (SAE).

This expertise is complemented by the huge background of the AIR4S consortium. We could highlight the experience of FundingBox on DIH initiatives in the area of Robotics and Insutry 4.0, such as RIMA, DIH2, Robot Union, L4MS, I4MS Go!, IMPACT GROWTH.

LINK WITH OTHER HUBS

AIR4S can connect organizations to other relevant hubs. UPM is core partner of 4 EIT Innovation Communities: EIT Digital, EIT Health, EIT Raw Materials and EIT Climate. Therefore, AIR4S takes advantage of the specialised services offered by these Innovation Hubs in order to create powerful synergies. In this sense, they have developed excellent communication channels or leading professional business development agents that will support too to the entities supported by AIR4S.

UPM participates in Smart Anything Everywhere (SAE) Initiative through CPSE Labs, one of the first Competence Centers funded by the European Commission.

Within our ecosystem other relevant stakeholders can be found:

  • Links to sectoral associations (eg: AMETIC, FIAB, EERA)
  • Links to community of sectoral users (eg: Hospitals, security Agencies, Farmers Cooperatives)
  • Links to National and European Technological Platforms and R&D Association (eg: BDVA, NESSI, euRobotics, AIOTI)
  • Links to Regional Clusters (eg: Aerospace Cluster, Security Cluster)
  • Links to big companies working with UPM (eg: Airbus, Red Eléctrica, Telefónica, Indra)
  • Links to Regional/National Funding Agencies (eg: ISCIII, Comunidad de Madrid, CDTI)
  • Links to Standardization Bodies (eg: W3C, ETSI, MPEG, etc.)
  • Links to USA and Asia (China, Japan, Malaysia and India) AI initiatives through UPM representatives.

Entities using AIR4S services takes full benefit from all of them.
UPM is member of: 

Association participated by UPM

Market and Services

Sectors

  • Agriculture and food
  • Maritime and fishery
  • Mining and quarrying
  • Energy and utilities
  • Construction
  • Wholesale and retail
  • Tourism (incl. restaurants and hospitality)
  • Transport and logistics
  • Real estate, renting and business activities
  • Public administration
  • Education
  • Life sciences & healthcare
  • Community, social and personal service activities
  • Manufacture of food products, beverages and tobacco
  • Manufacture of textiles and textile products
  • Manufacture of leather and leather products
  • Manufacture of wood and wood products
  • Manufacture of pulp, paper and paper products; publishing and printing
  • Manufacture of coke, refined petroleum products and nuclear fuel
  • Manufacture of chemicals, chemical products and man-made fibres
  • Manufacture of rubber and plastic products
  • Manufacture of other non-metallic mineral products
  • Manufacture of basic metals and fabricated metal products
  • Manufacture of machinery and equipment
  • Manufacture of electrical and optical equipment
  • Manufacture of transport equipment
  • Other Manufacturing
  • Financial services

TRL Focus

  • TRL4 - Component and/or breadboard validation in laboratory environment
  • TRL5 - Component and/or breadboard validation in relevant environment
  • TRL6 - System/subsystem model or prototype demonstration in a relevant environment
  • TRL7 - System prototype demonstration in an operational environment
  • TRL8 - Actual system completed and qualified through test and demonstration
  • TRL9 - Actual system proven through successful mission operations

Services provided

  • Ecosystem building, scouting, brokerage, networking
  • Visioning and Strategy Development for Businesses
  • Collaborative Research
  • Concept validation and prototyping
  • Testing and validation
  • Incubator/accelerator support
  • Market intelligence
  • Access to Funding and Investor Readiness Services
  • Mentoring
  • Education and skills development

Service Examples

Support and incubation of a smart-city startup

Short description (what need was solved)?

The Graffter is an SME whose initial aim was to develop a social network for the smart city. They wanted to change the way people interact within a social network using the city as supporting element.

They required advanced computer vision and graphics technology to offer augmented reality in mobile devices, access to public R&D&I funding to support the development, and education and skills development for their workforce.

After the collaboration with UPM Graffter has developed a technology that enables the development of a B2C strategy to use building facades as a means for digital advertising and marketing.

What service(s) provided?

UPM supported The Graffter in:

  • providing consulting services in computer vision
  • hosting the company at the UPM bussiness incubator
  • recruiting qualified staff among master and PhD graduates from our schools
  • partner the company in successful public competitive funding calls

provide advanced education and skill development to the staff through our Master and PhD programs in Artificial Intelligence.

Name customer, contact details

The Graffter, SL. http://www.thegraffter.com/en/

Centro de Empresas. Parque Científico y Tecnológico UPM

28223 Pozuelo de Alarcón, Madrid

Open data for citizen participation and transparency

Short description (what need was solved)?

The Office for Public Participation and Transparency of the city of Zaragoza needed to improve the way in which they published their open data, moving from a 3-star open data sharing in their open data catalogue and open data API into a 5-star open data sharing, according to the 5-star model for open data publication from Tim Berners-Lee. For this, they needed support to enable their open data API to publish RDF in the RDF/XML, Turtle and JSON-LD formats, as well as consultancy on the development of ontologies on which such data may be based.

What service(s) provided?

UPM provided two different types of services: ontology development for smart cities, focusing on the ontologies and vocabularies that can be used for the publication of open data in 4 and 5 star formats; and improvement of the legacy source code used in the open data API of Zaragoza so as to enable the creation of annotations to generate RDF in different formats.

The relation with digitization

Thanks to this service, the city council now offers a good number of datasets using an enriched API that allows combining different datasets that were previously isolated. The existing database that modelled the internal data model from the city council is now RDF-enabled and better integrated.

Name customer, contact details

City of Zaragoza.

Office of Public Participation and Transparency.

Robotics for complex problems solving in Agriculture

Short description (what need was solved)?

There is a great interest in the integration of knowledge, methods and systems to design and implement all the processes involved in the optimal resolution of complex problems in Agriculture. It also allows performing more ecological and sustainable activities.

What service(s) provided?

Several ICT services are providing applications for agriculture; which are related to crop monitoring, decision-making system for elaborating treatment plans, and development of prototypes for agriculture vehicle systems.

Vineyard producers demand more effective and sustainable weed management. Current production systems should be profoundly modified by incorporating new technological and agronomic tools to minimize the usage of herbicides and reduce nutrient applications. From the joint UPM-CSIC Centre for Automation and Robotics (GPA group), we have developed crop monitoring systems. These systems are used for decision-making processes such as variable rate applications in high-value crops, for example vineyards. Intelligent implements for precision pest control that aim towards the reduction of pesticides and improvement of the harvested yield and product quality are equally necessary in the chain. Raimat (Codorniú) introduced novel systems based on computer tools for 2D and 3D crop monitoring. They did that on-board of a medium-size electric autonomous platform.  The implemented algorithms provided good results for the automatic 3D reconstruction of large areas, thus allowing fertilizer savings through variable rate applicators and site-specific weed control with intelligent implementations. Thus, this system is affordable from an economic point of view since not only does it reduce environmental impact but also produces safer food in the agri-food chain and increases crop profitability.

“Tomates del Guadiana” Cooperative Society aims to become a leader in technology and innovation in order to enable its products to compete in new markets thanks to their high level of quality. They demanded the use of new implements for cropping management and tractor fleet management. We proposed an innovative solution based on new end-actuators able to reduce the damage of machinery while harvesting and the use of automatic satellital modeling for crop monitoring and harvest programing. These tools have allowed “Tomates del Guadiana” to compete in the market with the newest and most innovative technical resources in the sector.

The relation with digitization

The proper integration of ICT technologies in agriculture applications represents a step forward in digitalization of this area, where application of AI methods and robotic systems will significantly increase crop performance.

Name customer, contact details

Agrotei Soluciones Sl. C/. Islas Canarias, 13 28500 Arganda del rey, Madrid. It is an EBT created in the Centre for Automation and Robotics that aims to transfer knowledge and development to the society. Its main focus is to develop precision farming implements and crop monitoring systems.

AGROSAP:  C/ Diseño, 8. Edificio Diseño - Local 2. Polígono Industrial PISA. 41927 Mairena del Aljarafe (Sevilla)

Conversion of traditional on-line accessible dictionaries into Web of Data formats

Short description (what need was solved)?

KDictionaries is an Israeli company dedicated to the creation and provision of cross-lingual lexical data. Over the years, the company has published several monolingual, bilingual and multilingual online dictionaries. KDictionaries wanted to adapt its lexical data so that language technology applications could interoperate with it. To achieve this objective, the Spanish dictionary of the “KDictionaries multilingual Global Series” dataset was modelled to be converted from its proprietary format into RDF for its later publication as linguistic linked data. The model was to be compatible with the English and German datasets of the same series. This would also allow the linking of KDictionaries datasets  to other open external datasets. 

What service(s) provided?

Several services were provided to achieve this goal:

  • Methodological guidelines to transform the resource from its proprietary XML format to RDF, according to the lemon-ontolex model, a de-facto standard for representing lexical and linguistic information on the Web of Data.
  • Definition of the model followed to convert the KDictionaries dataset into RDF based primarily on the lemon-ontolex model, with some extensions to meet the needs of the rich dictionary data. 
  • Definition of a suitable strategy to construct permanent Uniform Resource Identifiers (URIs) that identify the elements in the model.
  • Identification of a set of mappings between the XML proprietary data and the lemon-ontolex model.

The relation with digitization

KDictionaries source datasets were already in a digital format, in XML. However, their dictionaries were not linked among each other in a way that maximised their reusability, and their proprietary format prevented the data from being linked to external linguistic resources. The modelling of their data as RDF was a first  step to facilitate the exploitation of their content by linked-data aware technologies  by abstracting from proprietary digital formats and moving into standardised representation mechanisms for digital content.

Name customer, contact details

KDictionaries. Visiting address 8 Nahum Hanavi Street.

Tel Aviv 6350310 Israel

AI services for detection of potential fake news

Short description (what need was solved)?

The fake news phenomena is an increasing issue both in traditional printed news as well as in modern broadcast news and it has increased its negative impact in the era of on-line social networks. RTVE, the Spanish National TV, and CIVIO Foundation, a non-profit organization which monitors public authorities, know very well this problem.

In the era of social networks and digital citizenships the use of on-line media to spread deliberate misinformation and hoaxes may have a great negative impact in the society, in Europe as well as in is any other country.

A potential approach to fight fake news and address the post-truth effect is to systematically share knowledge and data across organizations: the emergence of Big Data tools and Data Science methods could tackle this problem and mitigate its societal impacts.

What service(s) provided?

The service we provide is the provision of tools as a service which can be applied to allow:

  • multimedia data gathering and data lake model creation,
  • developing tools based on machine learning and data analytics towards detecting  image/video forgery and ,
  • detection of source in fake news activities.

Coming from results of the H2020 project FANDANGO.

And provide a score of potential fake news (including the reason for such indication), and classification of news to allow journalists and digital media companies to detect fake news.

The relation with digitization

To enable the aggregation and validation of different typologies of news (e.g. scientific data, media sources, on-line social networks, governmental open data) and to provide AI services to support Data Journalists in detecting potential fake news, is a way to support the digitization of traditional media that is in some cases reluctant to digitize their services and publication procedures to avoid publishing fake, biased or misleading news.

Name customer, contact details

The customers that we are providing and contributing with our technology and methodology to tackle fake news are:

Radio Televisión Española (RTVE) – where a RTVE chair is sustaining the activities and we are collaborating in their events; we will start testing with their own content next January 2019.

Fundación CIVIO

SErvice Name: Semantic-based Open Data Portal for the Spanish National Library

Short description (what need was solved)?

Historically, libraries have been responsible for storing, preserving, cataloguing and making available to the public large collections of information resources.

The Spanish National Library has a collection of information sources such as:

  1. Authority records: These records contain metadata describing people, organizations, work titles, and subject headings.
  2. Bibliographic records: These records form a representative subset of the BNE catalogue, and provide metadata belonging to modern and ancient monographs, electronic records, manuscripts, periodical publications, maps, engravings, photographs, printed music, sound and audiovisual recordings.

The Spanish National Library requested to the Ontology Engineering Group at Universidad Politécnica de Madrid to create an open data portal based on semantic technologies that integrates all the data coming from the above heterogeneous sources and connect the Spanish library data with other data from relevant international libraries.

 

What service(s) provided?

The service provided is the development of the datos.bne.es, an open data portal for the Spanish National Library. The portal is in production 24*7, allowing the general public and librarians to access the catalogue using advanced features for searching  over different types of entities (e.g., authors, works, translated works, or subjects), navigation across different types of connected entities (such as the author of a work) using advanced features for data indexing, ranking, retrieval and visualization. In addition to the portal itself, the following services are provided.

  1. A network of ontologies based on more than ten different bibliographic ontologies. The BNE ontology builds on the IFLA FRBR model (Functional Requirements for Bibliographic Records), although it reuses several terms from other ontologies such as the RDA ontologies, Dublin Core, or the Bibo ontology. This rich ontology network is published following the Linked Data principles and publicly available http://datos.bne.es/def/.
  1. To transform a large catalogue composed by more than 4 million MARC 21 bibliographic records, more than 3 million MARC 21 authority records (e.g., providing personal information, classification information), and to more than 100,000 digitized materials in RDF triples. Data curation and integration are also supported. 
  1. Linking the Spanish National Library data to the following library datasets: The Virtual International Authority File (VIAF), The Authority File of the German National Library (GND), The French National Library (http://data.bnf.fr), DBpedia, The authority and bibliographic catalogues of the National Library of Sweden (Libris), and SUDOC. The number of links to external datasets was significantly increased up to 1,395,108 links. Additionally, 108,834links to digital materials were added.
  1. The release of a large and highly interlinked dataset under a public domain license. The dataset is query-able using the SPARQL language through a public endpoint (http://datos.bne.es/sparql), and through a standard Linked Data front-end that provided access to the data in different formats using content-negotiation.
  1. A end-user interface was developed to give access to the vast amounts of interconnected entities. This user interface was built exclusively using the Linked Data and leveraged the data connectivity and the underlying ontology to index, rank, present, and arrange information catalogues to rich ontology-based data, and their publication and exploitation on the Web.

 

The relation with digitization

In recent years, the amount of semantically structured knowledge available on the Web as part of the so-called Linked Open Data (LOD) cloud has seen a substantial growth in the domain of cultural heritage and, particularly, in digital libraries. Indeed, libraries, museums and archives are showing great interest in publishing their data as Linked Data (LD). Initiatives like Europeana LOD or VIAF   also stress the opportunities offered by digitalizing cultural heritage archives using Linked Data.

The benefits of publishing library data as Linked Data have been summarized in the by the W3C Incubator Group on Library Linked Data. In particular, the following key benefits of Library Linked Data (LLD)  with regards with digitalization have been identified: i) provides enhanced and more sophisticated navigation through information, ii) increases the visibility of cultural data, iii) supports integration of cultural information and digital objects into research documents and bibliographies, iv) offers a more durable and robust semantic model than metadata  formats that rely on specific data structures, v) facilitates re-use across cultural heritage datasets, thus enriching the description of materials with information coming from outside the organization’s local domain of expertise, and vi) allows developers and vendors to avoid being tied to library-specific data formats such as MARC.

The datos.bne.es system is the result of a project that started with the goal of applying semantic and Linked Data technologies to the catalogues of the National Library of Spain. The system is in production being fully available 24x7 to citizens and librarians.

 

Name customer, contact details

Biblioteca Nacional de España

Ricardo Santos Muñoz

Director del Departamento de Proceso Técnico

Biblioteca Nacional de España

ricardo.santos@bne.es

Phone: 915168959 (ext. 559)

Maintenance and update service for open data portals

Short description (what need was solved)?

We provide support from our ontology engineers for the development of ontologies and controlled vocabularies. We cover the complete ontology development lifecycle, from requirements specification to publication of the ontologies with full documentation.

What service(s) provided (different from example)?

We use open source tools (some of which have been developed by us) for ontology development. During the initial ontology governance analysis process, we determine the requirements in terms of development software and ontology development support.

The relation with digitization?

Many organisations in all kinds of business sectors have realised the importance of systematic management of their data models, of the terminologies they use, of the controlled lists of terms they use in various parts of the organisation. Good governance of the ontologies that can be used by the organisation provides support for all these processes, and the development of ontologies is central to this purpose.

Name customer, contact details

Address: Escuela Técnica Superior de Ingenieros Informáticos (ETSIINF). Universidad Politécnica de Madrid. Avda. Montepríncipe, s/n. Boadilla del Monte, 28660, España

Phone: +34 910 67 29 11

Website: oeg.fi.upm.es

Email: oscar.corcho@upm.es

 

More details: https://oeg.fi.upm.es/

OOPS! OntOlogy Pitfall Scanner!

Short description (what need was solved)?

OOPS! is an online system for ontology evaluation independent of any other ontology development environment. It can also be used as a Web Service, so it can be easily integrated into third party software. It extends the list of errors detected by existing and newer ontology evaluation systems, providing examples and descriptions of bad practices. It has already been used in more than 48 countries (>20000 times), has been embedded in 3 third party software developments and has been used in several companies, supporting the development of ontology processes and training activities.

What service(s) provided?

OOPS! represents a breakthrough in ontology evaluation tools, as it extends the list of bad practices detected by existing and newer ontology evaluation systems.

 

It is completely independent of any other ontology development environment as it is available online. The evaluation features are also provided as a Web Service, allowing integration into third party software. Finally, its graphical user interface facilitates user interaction with the system.

The relation with digitization

The data linking initiative has become a catalyst for realising the vision of the semantic web where large amounts of data, entered as ontologies, are shared on the Web. Ontologies therefore need to be accurate and of high quality from a knowledge representation perspective to avoid inconsistencies or unwanted conclusions.

 

Reusing existing knowledge saves time and increases interoperability. In this way, ontologies that are likely to be reused can be evaluated before reuse.

Name customer, contact details

María Poveda Villalón

Address:ETSI Informáticos - UPM, Campus de Montegancedo, 28660 Boadilla del Monte (Madrid)

Website: http://oops.linkeddata.es/

Correo electrónico: mpoveda@fi.upm.es

Ontologies Development Service

Short description (what need was solved)?

Development of ontologies and controlled vocabularies to represent knowledge in different domains (e.g. IoT, Web of Things, buildings, smart cities, agriculture, medicine, video games, etc.)..

What service(s) provided?

We provide support from our ontology engineers for the development of ontologies and controlled vocabularies. We cover the complete ontology development lifecycle, from requirements specification to publication of the ontologies with full documentation.

We use open source tools (some of which have been developed by us) for ontology development. During the initial ontology governance analysis process, we determine the requirements in terms of development software and ontology development support.

The relation with digitization

Many organisations in all kinds of business sectors have realised the importance of systematic management of their data models, of the terminologies they use, of the controlled lists of terms they use in various parts of the organisation. Good governance of the ontologies that can be used by the organisation provides support for all these processes, and the development of ontologies is central to this purpose.

Name customer, contact details

Address: Escuela Técnica Superior de Ingenieros Informáticos (ETSIINF). Universidad Politécnica de Madrid. Avda. Montepríncipe, s/n. Boadilla del Monte, 28660, España

Phone: +34 910 67 29 11

Website: oeg.fi.upm.es

Email: oscar.corcho@upm.es

More details: https://oeg.fi.upm.es/

IRIO

Short description (what need was solved)?

Intelligent instrumentation for adaptive integration.

IRIO consists of a methodology and a set of software tools that drastically simplify the optimised development cycle of data acquisition systems. With IRIO, FPGA implementations are automatically integrated into EPICS.

Big Science facilities use complex control systems such as EPICS to control their plant systems. The integration of reconfigurable hardware (FPGA) is particularly complicated. To assist in this integration, IRIO creates a solution that intelligently detects hardware and substantially reduces integration time in control systems. IRIO can assist in the various stages required for the development of these systems, reducing the initial expertise in control systems by more than 160 working hours and reducing implementation time by 70%. IRIO is currently part of the ITER instrumentation and control. To evaluate ITER control systems, KSTAR tokamak (an ITER-like facility) uses IRIO on systems already in operation.

What service(s) provided?

Big Science experimentation projects use complex control mechanisms to control their plant systems in a distributed and robust way. A large part of the industry uses a collection of software, EPICS, to do this. The integration of the different tools is a very time-consuming task. In particular, FPGA-based systems, which are reconfigurable multifunctional systems, require additional development effort in integration. The interesting feature of FPGA systems, their reconfiguration capability, is hampered by the fact that EPICS cannot detect hardware resource changes on its own.

IRIO automates the integration of these data acquisition systems by intelligently detecting the resources used in the hardware, reducing implementation time and maintenance cost.

The relation with digitization

Big Science experiment projects are slow to implement and resource-intensive. For this reason, Big Science facilities use solutions based on open software and FPGA-based hardware. They seek long-term partnerships with the companies they rely on to integrate the systems and do not want to be constrained by closed solutions.

 

An example of these efforts is reflected in the recent interests of large companies such as Altera and Xilinx, which lead the market in FPGA sales and patent production, to also push the open software initiative called OpenCL to develop with FPGAs. These companies are exploring mechanisms that help the integration of various control and processing systems. The potential of OpenCL has also attracted companies such as Apple, IBM, Texas Instruments, NVIDIA, Intel...

 

Other application areas that require the integration of diverse high-performance electronic devices include: automotive, with Tesla leading innovation for autonomous driving; industrial processes that place a high value on reduced maintenance time and cost; or medical applications using accelerators for proton therapy, as major markets.

 

To improve the performance of integrator systems, some companies are offering solutions (e.g. companies focused on the Big Science market, such as Observatory Sciences or Cosylab). However, these companies still rely on conventional customised solutions.

Name customer, contact details

Mariano Ruiz, Miguel Astrain

e: mariano.ruiz@upm.es

e: miguel.astrain@i2a2.upm.es

w: http://www.i2a2.upm.es/idi/instrumentacion-aplicada/sistemas-de-adquisicion-de-datos-avanzados-2/

HUMAN-AWARE SPACES

Short description (what need was solved)?

Indoor location technology without mobile phones or wearable sensors for human mobility analysis, tracking, safety, security, interaction with environment and more

environment and more.

Indoor location-based services (ILBS) is a growing global market with a promising future. The applications are endless: human movement analysis, tracking, security, interaction with the environment, immersion, geofence, etc., to be applied in offices, museums, airports, trade fairs, hospitals, hotels, industry... The Image Processing Group (GTI) of the UPM has developed a novel indoor location technology based on deep learning and artificial vision to detect people through cameras. The localisation is non-intrusive, without the need for people to carry any device (mobile phones, Bluetooth beacons, etc.), unlike existing solutions on the market. In addition, the accuracy achieved is higher than other indoor location technologies. Our technology is backed by patents, scientific studies and projects, such as the ""Live lab demonstrator for the bank office of the future"" for Santander Group, ISBAN and PRODUBAN.

What service(s) provided?

Indoor location technology that turns any room into a smart space capable of locating people without human intrusion, collaboration or sensing. All existing indoor location technologies on the market require people to use a sensor or mobile phone for location. This technology is based on the latest deep learning and computer vision algorithms to provide transparent, non-collaborative and non-intrusive human localisation with accuracy in the centimetre range.

 

The applications are endless: people flow analysis, tracking, security, spatial interaction, immersion, geofence, etc. ready to be used in offices, museums, airports, railways, trade fairs, hospitals, hotels, shopping centres, industry, among others.

The relation with digitization

Indoor location-based services (ILBS) have gained a lot of attention in recent years due to their commercial and social potential. The applications are innumerable.

Conventional outdoor location, such as GPS, does not work well indoors due to obstacles and walls between rooms. Moreover, specific indoor location technologies have problems in achieving high location accuracy (in the meter range).

However, there is a major problem: all existing technologies on the market require the use of active sensors. People can only be located and monitored if they carry a sensor or mobile phone, and agree to share their data.

Explicit or implicit collaboration of people is unrealistic in security applications, and problematic in other applications that assume that people have their sensors/mobile phones always operational.

The above limitations severely restrict the quality and usefulness of the obtained location and tracking data.

Name customer, contact details

Carlos R. del Blanco, Pablo Carballeira

e: cda@gti.ssr.upm.es

e: pcl@gti.ssr.upm.es

Website: http://www.etsit.upm.es/

More details: http://www.etsit.upm.es/

HISS, human Intelligence Simulator Software

Short description (what need was solved)?

We use our knowledge in logic programming to represent human reasoning, our expertise in constraints to return constructive answers and our fuzzy software tool to model human intelligence through a simpler syntax than any other software tool based on commercial programming languages.

 

Successful prototypes have already been achieved for the RoboCup league, for speech-based emotion recognition, flexible database searches and for decision making in programme parallelisation.

What service(s) provided?

Human reasoning is fuzzy. It includes uncertainty and incomplete information. In addition, human perception is subjective and changeable. Implementing this using traditional programming languages (abstractions of the computational mechanism of machines) is extremely difficult.

Our differentiators are that, thanks to logic programming, we model human reasoning and thanks to constraints, we provide constructive answers. In addition, HISS allows us to model intelligence through a simpler syntax than any other tool based on conventional programming languages.

The relation with digitization

Traditional marketing based on winning customers has changed to a concept of relationship marketing where customer satisfaction and retention is the main focus.

 

Retaining a customer involves understanding them by analysing their behaviour, recognising their emotions, assessing their satisfaction, etc.

 

Big Data and data analysis are being used to obtain customer information. Artificial Intelligence and emotion recognition have become powerful tools to interpret the outcome from a human point of view.

Name customer, contact details

Susana Muñoz Hernández

e: susana@fi.upm.es

Website: http://www.etsiinf.upm.es/

HAPTIC SKIN

Short description (what need was solved)?

Traditional marketing based on winning customers has changed to a concept of relationship marketing where customer satisfaction and retention is the main focus.

 

Retaining a customer involves understanding them by analysing their behaviour, recognising their emotions, assessing their satisfaction, etc.

 

Big Data and data analysis are being used to obtain customer information. Artificial Intelligence and emotion recognition have become powerful tools to interpret the outcome from a human point of view.

What service(s) provided?

Haptic Skin is a fabric that can be used to make any garment. The fabric contains a series of devices that generate tactile stimuli in the user of the garment: impacts, contact, friction, temperature and many more.

 

A garment made with Haptic Skin increases the immersion and realism experienced by the user interacting with a virtual reality environment.

 

Haptic Skin is a unique product that combines a large number of tactile technologies to improve the perception of virtual sensations through skin receptors (vibration, pressure, temperature, etc.).

The relation with digitization

Demand for improvements in the gaming experience, making it as realistic as possible.

Demand for virtual reality devices that improve the tactile sensations that users perceive when playing, encompassing the whole body.

The need for differentiation by video game companies to gain market share.

There are many virtual reality substitutes launched on the market in recent years.

Large video game companies have started to integrate virtual reality devices into their developments, such as virtual reality glasses.

Rise of augmented reality in video games that require touch interaction to provide enhanced realism.

Name customer, contact details

Gonzalo García, Jose Breñosa, Manuel Ferre

e: gonzalo.gvalle@upm.es

e: jose.brenosa@upm.es

Website: https://www.car.upm-csic.es/

GREENBOT

Short description (what need was solved)?

GreenBot is a team of ground and aerial robots that work together to monitor the environmental conditions in greenhouses. The knowledge of these variables allows the growth of crops to be favoured, achieving an estimated 20% increase in productivity, as well as detecting and correcting deviations that could lead to crop losses. This proposal outperforms its current alternatives, fixed sensors and sensor networks, as it provides more spatial and temporal resolution. The system combines the strengths of ground robots (robustness and autonomy) and aerial robots (agility and speed) while overcoming their weaknesses. The solution has been successfully tested in three different scenarios: a productive greenhouse, a seedbed and a botanical greenhouse. The solution has been developed by the Robotics and Cybernetics Group of the Centre for Automation and Robotics, which has extensive experience in robotics application projects in agriculture.

What service(s) provided?

The solution consists of a team of ground and aerial robots with sensors for temperature, humidity, lighting and gas concentration. These robots walk around the greenhouses taking measurements and sending them to a central station that analyses them and builds maps. The information they gather can be used to monitor environmental conditions and improve productivity.

 

The use of a heterogeneous team is justified because each robot has its strengths and weaknesses. Ground robots provide robustness and autonomy, as they are able to roam the aisles of the greenhouse for hours, while aerial robots provide agility and speed, as they can access difficult areas and take measurements at different heights.

The relation with digitization

There are 400,000 hectares of greenhouses in the world and this figure is continuously growing. The largest agglomeration of greenhouses is in Almeria with 35,000 hectares.

Agriculture under plastic is a very competitive sector and open to new technologies. For example, soil preparation, irrigation systems, pest control?

The productivity of greenhouses depends to a large extent on the environmental conditions of the crops. A technified greenhouse can produce up to 25% more than a traditional greenhouse.

Extreme weather events cause crop losses when they are not detected and mitigated in time. For example, the 2010 rains in Almeria caused losses of €390 million.

Agricultural activities have an impact on the environment, mainly in the form of water consumption, use of fertilisers and pesticides or production of greenhouse gases.

The application of new technologies can lead to a reduction in the consumption of resources such as water or electricity, as well as to the rationalisation of the use of chemical products that can affect the environment.

Name customer, contact details

Juan Jesús Roldán, Antonio Barrientos

Grupo de Robótica y Cibernética (RobCib), Centro de Automática y Robótica (UPM-CSIC)

e:  jj.roldan@upm.es

e: Antonio.barrientos@upm.es

Website: https://www.car.upm-csic.es/

GESTOMOTICA

Short description (what need was solved)?

Natural gesture control of devices and appliances for the future smart home. No mobiles, no controls, just your hands.

Home automation is boosting the concept of the smart home and redefining people's relationship with their homes. Currently, the number of smart devices in the home is growing rapidly: lighting systems, temperature control systems, household appliances, televisions, ... However, the control and the way to operate each device is different, creating unnecessary complexity in its use: too many controls and too many Apps to control them. Grupo de Tratamiento de Imágenes (GTI) has developed a novel technology for the natural control of devices and appliances through gestures for the smart home. Our technology uses the latest advances in Deep Learning and Artificial Vision to recognise gestures through cameras. It has been the result of years of research, doctoral theses and cutting-edge project developments. We have a laboratory prototype and demonstrators to control TVs, lamps, fans and PTZ cameras. Our technology has also been used to control drones for Airbus.

What service(s) provided?

Gestomotics is a technology that allows you to control devices and appliances in the home using gestures. No mobiles, no remotes, just your hands. The growing complexity in the control of smart home devices is simplified with gestures, a type of universal communication innate to human beings, which from now on you can use in your home.

 

Our technology uses cameras in different spectrums together with the latest advances in Deep Learning and Computer Vision to recognise the user's gestures, and convert them into actions on the devices: turning lights on and off, regulating the heating and air conditioning, controlling the TV, etc. In addition, control can be restricted to certain users: preventing a child from handling dangerous items such as an oven.

The relation with digitization

Home automation is empowering the smart home concept and redefining people's relationship with their homes.

Smart home users are happier [Coldwell Banker]:

-        57% of them say they save time.

-        45% of them say they save money.

-        72% of them say they feel more secure.

 

The number of smart devices in the home is skyrocketing: lighting systems, temperature control systems, household appliances, TVs, ...

An estimated 1.5 million home automation systems were installed in the home in 2017 [CEDOM].

However, the control and the way each device is operated is different, creating unnecessary complexity in its use:

Too many remotes and too many Apps for control.

Limited interaction in systems based on remote controls.

Ambiguous identification of the device to be controlled with smart speakers.

Most systems lack identity control to determine who can use a device.

An exception is the use of voice with smart speakers, but they are easily hackable.

Name customer, contact details

Carlos R. del Blanco, Omás Mantecón

e: cda@gti.ssr.upm.es

e: tmv@gti.ssr.upm.es

Website: https://www.etsit.upm.es/

Economics @Intelligence

Short description (what need was solved)?

Automated web-app that connects official, public and free sources of socio-economic data for online AI analysis.

What service(s) provided?

Economics @Intelligence offers a technological solution that generates Big Data, and applies artificial intelligence and automatic learning techniques online to shed light on any type of economic analysis. It offers free of charge in its Economics @Intelligence Database"" a centralised and unified portal where you can directly access the original sources of public, official and free data from various official sources, facilitating easy downloading and attractive visualisation; it also offers all the computational power of artificial intelligence and machine learning techniques for economic analysis.

The relation with digitization

Data collection and analysis is costly in terms of time, money, human resources, and material resources required.

Spain is the norm, not the exception, at the international level, as shown by the pioneering initiatives of MIT and Harvard (only with international trade data) or Wharton (only with 500 datasets).

Name customer, contact details

Raúl G. Sanchis

Grupo de Análisis de Decisiones y Estadística | ETSI  Informáticos – Departamento de Inteligencia Artificial &  Departamento de Ingeniería de Organización, ADE y  Estadística | UPM

e: raul.g.sanchis@upm.es

Website: http://vps155.cesvima.upm.es/index.html

DYLAN-Q

Short description (what need was solved)?

Guided system for the creation of natural language questions on any dataset, with a guarantee of correct answers.

Tired of text boxes where you ask questions in natural language, in systems that answer slowly, or incorrectly? Dylan-Q is an intuitive guidance system for question construction.

All questions that can be constructed with the system provide a correct answer, and questions that cannot be constructed (a minimal percentage of the questions asked by users) are treated conventionally or, if deemed relevant, can be included in the system.

The system has been tested with real scientific conference data from the Springer publishing house, and with heavily populated domains from DBpedia, demonstrating its flexibility in dealing with complex data models, and with very large datasets. Tests show that users are very satisfied with the ease of question construction, response times, and with the answers obtained.

What service(s) provided?

Big Data tools transform huge amounts of data into useful information for businesses and customers. One such tool is the ""report generator"" that allows you to explore and query stored information. Beyond pre-configured reports, it is still a challenge to make queries in a simple, intuitive and effective way.

 

Studies have shown that customers prefer interactive online systems to classic human operators accessible by phone. In addition, customers want quick answers to their questions online.  It saves a lot of costs to transform call centre enquiries into online self-service enquiries, so that customers can solve tasks such as querying their delivery data, handling complaints or generally searching for information on their own.

 

Web applications use forms as a mechanism for interacting with users. If they are not well designed, they can lead to frustration and rejection, particularly for people with little experience in using web applications. 

The relation with digitization

In recent years, the amount of semantically structured knowledge available on the Web as part of the so-called Linked Open Data (LOD) cloud has seen a substantial growth in the domain of cultural heritage and, particularly, in digital libraries. Indeed, libraries, museums and archives are showing great interest in publishing their data as Linked Data (LD). Initiatives like Europeana LOD or VIAF   also stress the opportunities offered by digitalizing cultural heritage archives using Linked Data.

The benefits of publishing library data as Linked Data have been summarized in the by the W3C Incubator Group on Library Linked Data. In particular, the following key benefits of Library Linked Data (LLD)  with regards with digitalization have been identified: i) provides enhanced and more sophisticated navigation through information, ii) increases the visibility of cultural data, iii) supports integration of cultural information and digital objects into research documents and bibliographies, iv) offers a more durable and robust semantic model than metadata  formats that rely on specific data structures, v) facilitates re-use across cultural heritage datasets, thus enriching the description of materials with information coming from outside the organization’s local domain of expertise, and vi) allows developers and vendors to avoid being tied to library-specific data formats such as MARC.

The datos.bne.es system is the result of a project that started with the goal of applying semantic and Linked Data technologies to the catalogues of the National Library of Spain. The system is in production being fully available 24x7 to citizens and librarians.

 

Name customer, contact details

Mariano Rico

e: mariano.rico@upm.es

website: http://oeg-upm.net

More details: http://oeg-upm.net

D-HOUSE

 

Short description (what need was solved)?

The Life Supporting Technologies research group at the Universidad Politécnica de Madrid (UPM) has developed an innovative solution that supports the integrated management of diabetes, in collaboration with the Universidad Politécnica de Valencia and Medtronic Iberica. The solution was tested in an exploratory clinical study, in 4 clinical centres with 51 patients and 24 healthcare professionals. Its central objective is to improve diabetes management by providing patients and physicians with a technology platform to help them manage and analyse all information related to diabetes treatment, integrating it with patients' lifestyle data.  The platform enables interoperability and data transfer between different monitoring devices, based on shared semantics. The applications can be used from smartphones, tablets and computers and can be customised for different user profiles, supporting monitoring, education and communication functionalities in healthcare. The added value and effectiveness of an integrated system is that it offers better performance than using its components separately, in terms of diagnosis, care and strategy adopted.

What service(s) provided?

The solution provides a framework for diabetes management implemented on a technology platform. Support for professionals and patients is provided through applications running on multiple platforms and with multiple levels of interaction, depending on their profiles. Patient classification and stratification was implemented.

American Diabetes Association guidelines have been modelled on a Professional Dashboard designed for patient monitoring, education, prescription and tracking of daily activities.

Patients with type 1 and 2 diabetes are provided with tools that enable them to self-manage their disease and raise awareness of healthy lifestyle habits.

Few solutions are as global as D-House and the healthcare sector (mainly the private sector) is demanding these technologies.

The relation with digitization

Diabetes is one of the most important diseases. By 2030 it is estimated that 550M people will suffer from diabetes (WHO).

 

The healthcare sector is evolving towards new models where public-private partnerships, patient-centred care, prevention of the onset of complications and health education are needed.

 

Investments in health technologies and consumer electronics, including health-oriented services, have experienced exponential growth.

 

Health monitoring via mobile devices was one of the top ten applications in 2012 (Gartner).

Name customer, contact details

Giuseppe Fico, María Teresa Arredondo

Life Supporting Technologies – UPM

e: gfico@lst.tfo.upm.es

e: mta@lst.tfo.upm.es

Website: http://www.etsit.upm.es/

More details: http://www.etsit.upm.es/

CoGRID

Short description (what need was solved)?

Technological solution that optimises and simplifies the management of electricity demand through the distributed coordination of consumption.

The demand for electrical energy is estimated to increase at an average rate of 2.4% per year until 2020, an evolution above that predicted for all final energies and GDP. A team of researchers from the GEDIRCI group of the ETSI Telecommunications of the Polytechnic University of Madrid has developed a method and system for distributed coordination of consumption in electricity grids with the aim of smoothing the aggregate consumption curve of the electricity grid, reducing the difference between peaks and troughs. This coordination is carried out in a distributed and self-organised manner, without explicit communication between electrical installations or a centralised control centre or agent, only making use of the information on the aggregate consumption of the electrical grid or similar. CoGrid reduces infrastructure oversizing, improves the profitability of investments in the electricity system, increases security and robustness and improves the integration of new technologies such as renewable energies.

What service(s) provided?

This solution is a method of coordinating consumption in electricity grids that aims to smooth the aggregate consumption curve of the electricity grid, reducing the difference between maximums and minimums. This coordination is carried out in a distributed and self-organised manner, without explicit communication between electrical installations or a control centre or similar centralised agent, making use only of the information on the aggregate consumption of the electrical network or similar. In this way, the loads of the electrical installations where CoGrid is implemented will be planned and regulated to increase their energy efficiency.

The relation with digitization

Electricity demand is growing again after several years of contraction, which, in addition to reflecting the improved performance of the Spanish economy, may contribute to easing the electricity system's accounts.

The increase in the complexity and size of the electricity system brings with it a series of problems that make it essential to improve electricity demand management in order to make it efficient and sustainable. CoGrid performs smart grid demand-side management with very low communications requirements.

It will be key to increase interconnection levels with Europe, which are only 4% of installed power, far from the 10% target set by the EU.

Name customer, contact details

Manuel Castillo, Álvaro Gutiérrez, Eduardo Matallanas, Estefanía Caamaño

ETSI Telecomunicación – UPM

e: manuel.castillo@upm.es

e: aguti@etsit.upm.es

e: eduardo.matallanas@upm.es

e: estefan@ies-def.upm.es

Website: https://www.etsit.upm.es/

 

Decision support systems to reduce contaminants and residues

Short description (what need was solved)?

The aimed of this service was to analyze different remediation alternatives for the Zapadnoe tailings site, which contains a huge amount of uranium residues produced by Pridneprovsky Chemical Plant, a largest uranium processing enterprise. To do this, several potentially conflicting economic, radiological, social and environmental objectives must be simultaneously taken into account, such as the environmental impact due to contaminants discharged into surface waters that can impair the functioning of aquatic biota and the impact on groundwater bodies, the doses received by the population through external exposure, inhalation (concentration in the air) and ingestion (via drinking water, food), or the community satisfaction and the impact on neighborhoods or regions.

What service(s) provided?

The GMAA decision support systems based on the Decision Analysis methodology, was adapted to deal with this complex decision-making problem and additional functionalities were incorporated to a new version the software package, such as fuzzy inputs or Monte Carlo simulation techniques to derive a fuzzy ranking of remediation alternatives.

The relation with digitization

The service involved the construction of an objective hierarchy, in which all the relevant aspects to be considered were considered, the fuzzy evaluation of remediation alternatives against the different criteria and to quantify preferences, such as the weights representing the relative importance of criteria in the objective hierarchy. The adapted GMAA system was used to carry out the above tasks and to derive a fuzzy ranking of the remediation alternatives on the basis of Monte Carlos simulation techiques.

Name customer, contact details

Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (Research Center for Energy, Environment and Technology) (http://www.ciemat.es)

Avenida Complutense, 40; 28040 (Madrid); Email: contacto@ciemat.es

 

Machine learning to optimise Industry 4.0 processes

Short description (what need was solved)?

The problems to be solved in this collaboration were focused on the application of machine learning methods to Industry 4.0. More specifically, the private company was interested in: (i)  detecting anomalies during a laser surface heat treatment process recorded using a high-speed thermal camera by tracking the movement of the laser spot; (ii) detect the degradation of industrial motors in concept drifting data streams from sensors in rotating machinery; (iii)  identifying the different devices running in the manufacturing plant using the whole plant electric consumption data and estimating the individual device energy consumption.

What service(s) provided?

New methodology based on machine learning was developed to address the previous problems: Dynamic Bayesian networks and kernel density estimation for (i); probabilistic model-based dynamic clustering for (ii); and multi-dimensional Bayesian network classifiers hybridized with decision trees for (iii).

The relation with digitization

All the developments are data-driven approaches requiring sensing technology implementation in their machine-tools and plants.

Name customer, contact details

Etxe-Tar S.A.

San Antolín, 3 20870, Elgoibar (Spain) 

Tel: (+34) 943 740 600  |  Fax:(+34) 943 743 472   |  E-mail: etxetar@etxe-tar.com; http://www.etxe-tar.com/?lengua=ingl

Funding

  • Horizon 2020
  • European Social Fund
  • National basic research funding
  • Regional funding

Customers

Number of customers annually
>50
Type of customers
  • Start-up companies
  • SMEs (<250 employees)
  • MidCaps (between €2-10 billion turnover)
  • Large companies, multi-nationals
  • Research organisations
  • Partners

    H2020 Projects

    • FI-GLOBAL
      FI-GLOBAL: Building and supporting a global open community of FIWARE innovators and users

      FI-GLOBAL: Building and supporting a global open community of FIWARE innovators and users


      Through the FIWARE Mundus activities, mostly performed in the FI-LINKS project, countries from all over the world have already started to mobilize innovators and users around new FIWARE ecosystems. FIWARE is currently stepping out from experimentation into commercialisation. The technology must be adopted at global level in order to allow European FIWARE stakeholders to expand their reach worldwide.
      The first main objective of FI-GLOBAL is to underpin a FIWARE global community, by increasing the number of FIWARE ecosystems all around the world. FI-GLOBAL will identify and engage multiple stakeholders, who will help bootstrapping innovation ecosystems around FIWARE, provide support to startups, enhance the open platform with additional FIWARE components, and deploy new FIWARE nodes. FI-GLOBAL facilitates the set-up of a worldwide recognized FIWARE Master Course to educate future students and establish international cooperation via a FIWARE Education Community.
      The second main objective is to incentivise the take-up of the FIWARE platform and facilitate the means for an effective cooperation among innovators and users from the global community. FI-GLOBAL will mobilize a truly global marketplace of FIWARE applications that will stimulate new solutions and business ideas, and incentivize innovators and users to discover the platform and adopt the technology. This will be done by providing tools that support the cooperation among the global ecosystems to implement new ideas/services and match particular needs that may have been already tackled by FIWARE solutions; and launching a FIWARE Global Piloting Programme to encourage the improvement and replicability of FIWARE solutions at global scale.
      Reaching these objectives will contribute to make FIWARE the “de facto” reference in terms of global open source platform for the development of solutions and applications and one of the main instruments for promoting entrepreneurship and strengthening digital education worldwide

    • FI-NEXT
      Bringing FIWARE to the NEXT step

      Bringing FIWARE to the NEXT step


      Digital technologies underpin innovation and competitiveness across a broad range of market sectors. A key technology to boost such innovation and competitiveness is represented by the full and wide adoption of Open Service Platforms. In fact, they will allow increased competition and market penetration because they should be built on top of royalty-free open specifications, adopting open source reference implementations, and s such allowed to be offered by multiple vendors. The Seventh Framework Programme for Research and Technology Development (FP7) has developed the FIWARE platform which has demonstrated its potential of becoming a service platform of choice, with proven potential for usage by SMEs and startups. This rises to the extent that four main ICT players in Europe with global ambition have put FIWARE in their strategy for market development. More than that, those four players announced the creation of an open to all legal entity, the FIWARE Foundation, to have more stakeholders driving the evolution of FIWARE. Well in this scope, the aim of the FI-NEXT project is to put in place all the measures necessary in order to make FIWARE materializing such a potential. This will achieved pursuing the following objectives: a) bringing FIWARE from an European Open Source project to a global Open Source Community, b) ensuring FIWARE meets the highest quality standards and best technical support, c) positioning FIWARE as the de facto standard for the development of smart applications, and d) ensuring FIWARE Lab to be a self-sustainable environment.

    • VOJEXT
      Value Of Joint EXperimentation in digital Technologies for manufacturing and construction

      Value Of Joint EXperimentation in digital Technologies for manufacturing and construction


      The VOJEXT project aims at providing a favourable business and technological framework to enable matchmaking and encourage producers and adopters (mainly SMEs including small crafters) of Cognitive autonomous systems for human-robot interaction, specially “cobots”, dynamizing science-driven industry approaches for the European industry.  For this purpose VOJEXT will design, develop, validate and demonstrate affordable, market-oriented, agile, multipurpose and easy-to-repurpose, autonomous, mobile and dexterous robotic systems as the main component of a smart, agile and scalable cognitive CPS for industry; under the vision of providing Value Of Joint EXperimenttion (VOJEXT) in digital technologies to manufacturing and construction industry; while having DIHs as drivers of innovation based economic development in Europe. t
      VOJEXT will demonstrate its value by deploying the solution through a 42-months work plan scaling the project to at least 5 additional different markets; starting with 5 experimental pilots (and 9 SMEs) in the plastic textile, electronics, automotive, construction and creative architecture for urban regeneration, VOJEXT cover traditional and non-traditional areas for AI-robotics and cognitive ICT developments; aiming to extend to 15 experimental pilots, integrating 20 more SMEs through open calls. The open calls will foster scientific and business driven innovation together Digital Innovation Hubs led by UPM-AIR4S (Spain), together with other 3 DIHs – Fortiss (Germany), PIAP (Poland) and EMC2 (France). These Open Calls will gather the most innovative SMEs, that will bring new challenges into project’s pilots and propose alternative scenarios. Moreover, the project will carry out with 2 S+T+ARTS residencies, that will allow artists stimulate the creation of new product in different contexts and support creative craft experimental pilots in Italy. DIHs will create a new niched oriented offering based on VOJEXT technical areas and for crafting sector.

    Last updated: 17/09/21 12:55