H2020 V1
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Johdanto
Horizon2020-puiteohjelma käynnistyi vuoden 2014 alussa. Ohjelmakomiteoiden työohjelmat vuosille 2014-2015 on julkaistu, ja ensimmäiset H2020-haut ovat jo sulkeutuneet. Vuosien 2014-2015 tulevat haut ovat jo selvillä, ja niiden sisältöön ei enää pysty vaikuttamaan. EU-komissiossa valmistellaan kuitenkin jo vuosien 2016-2017 työohjelmia. Niiden sisältöön vaikuttamisen aika on nyt! Tulevien työohjelmien hakuihin pitää saada aiheita, jotka kiinnostavat suomalaisia hakijoita ja joiden hauissa suomalaisilla hakijoilla on mahdollisuus menestyä. Tällä sivustolla kerätään suomalaisten osallistujien aiheidoita Horizon2020-ohjelman ICT-työohjelmaan 2016-2017.
Tämä sivusto on julkinen eli sitä pystyy kuka tahansa lukemaan. Kommentointia varten pitää rekisteröityä.
Yhteyshenkilöt:
Katja Ahola (Tekes), Sami Majaniemi (LVM), Marko Heikkinen (Tekes), Juha Latikka (Suomen Akatemia), Elina Holmberg (Tekes), Hannu Hämäläinen (STM) ja Jouko Hautamäki (Tekes)
Virallinen kommentointiaika: 6.5.2014 - 28.5.2014.
Kontaktoitavat tahot
- Yritykset
- Tutkimuslaitokset
- Yliopistot
- Muut tahot
Tutkimusaiheet / Research topics
Tähän kohtaan toivomme erityisesti aihe-ehdotuksia ja kommentteja. Kirjoitathan tekstin mielellään englanniksi.
Mitä aihepiirejä halutaan saada aukaistua tuleviin H2020 ICT-hakuihin? Voidaanko/kannattaako samalla tehdä avointa ennakointityötä sen suhteen mitä Suomessa pitää lähitulevaisuudessa tutkia/opettaa?
NOKIA’s (Networks) contribution to H2020 Work Programme 2016-2017
From Nokia’s (Networks) perspectives, new research is needed on the following Mobile Broadband key development areas (Note: the summary or the 5G requirements have been listed after these development areas):
1. Enable 1,000 times more capacity
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More spectrum, higher spectral efficiency and small cells shall provide up to 1,000 times more
capacity in wireless access. Although the industry today has not defined what 5G will look like and the discussions about this are in the earliest stages, flexible spectrum use, more base stations and high spectral efficiency will be key cornerstones, and research on it needs to be continued in Work Programme 2016-2017. Some details: The increased capacity needs shall be supported by the new spectrum sharing methods and intelligent antennas. The new methods shall support administration and optimization of the shared spectrum across different access technologies and across different administrative domains. For instance, several operators may share the same frequency band to their overlapping networks and the interferences/disturbances from one network to another have to be taken into account for the optimal allocation of the frequencies. This may have implications also on the traffic management of the shared networks. New methods and tools are needed for testing the new network functions (development phase) and for verifying the performance of the deployed networks. All functions and parameters are interdependent, and new methods are needed to analyze and find out the overall dependencies and impacts between functions. |
2. Reduce latency to milliseconds
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In addition to pure network capacity, the user experience of many data applications depends
on the end-to-end network latency. Advanced audio-visual real-time applications such as cloud gaming, tactile touch/response applications and machine-to-machine interactions (M2M, IoT, Industry 4.0) will push latency requirements down to single digit milliseconds in the future. Also, the network and application level protocols have to be faster and more efficient for enabling higher network performance and better energy efficiency. |
3. Teach networks to be self-aware
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Today, network operators spend about 15-20% of their total OPEX on operating, managing and optimizing their networks. The introduction of additional radio access technologies, multiple cell layers and diverse backhaul options will increase complexity and risks driving up network OPEX substantially. The application of big data analytics and Artificial Intelligence technologies are needed to create the Cognitive Network that can autonomously handle complex end-to-end network and service management.
The heterogeneity of the network accesses increases the need for the more intelligent traffic management and off-loading functions. New, efficient and self-learning traffic management methods have to be researched and understand more. The intelligent traffic management is very important when a general communication network is used to connect different kind of industrial internet, machine-to-machine and health-care systems together with heavily varying traffic demands. |
4. Personalize the network experience
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Customer experience management (CEM) has become an industry priority over the last few years. In the future, the capabilities of CEM shall be enhanced substantially when combined with the Cognitive Network approach outlined above. In short, cognitive networks shall dynamically optimize the experience of selected users in response to a changing environment. |
5. Telco Clouds
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Cloud technologies being able to provide computing and storage resource on-demand have brought substantial gains in efficiency and flexibility to the IT industry. Similar gains could be achieved when applying cloud principles to telco networks with virtualization decoupling traditional, vertically-integrated network elements into hardware and software.
The migration of network elements in combination with software defined networking (SDN) will transform today’s networks into a fully software defined infrastructure that is both highly efficient and flexible. A key research area in the telco clouds is also Security & Privacy. It is not sufficient if the network itself is safe, but at the same time it is used for cheating. The methods have to be developed for the cloud environment to prevent any kind of fraud by the users of networks. |
6. Flattening total energy consumption
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In mature markets, energy consumption already accounts for 10-15% of the total network operational costs and may hit 50% in developing markets. The focal point for improving energy efficiency is the radio access, which accounts for around 80% of all mobile network energy consumption. Advanced power amplifier technologies, baseband efficiency and heterogeneous network architecture evolution are the key ingredients for the efficient radio access network of the future. |
7. Requirements for 5G
In the following, the requirements for 5G have been summarized:
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The use cases, key design principles and vision of the 5G system lead to requirements that the future mobile broadband system will need to meet:
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Demos Helsinki suggestions to H2020 WP 2016-2017
The core contribution of technology to society is usually the behavior change that new technologies enable. Demos Helsinki proposes
1. Retrofitting ICT in cities and buildings to make us behave smarter in smarter environments
2. Using ICT to enable preventive and inclusive healthcare and allow autonomy in healthy behavior for everyone.
3. Building tools and interfaces to enable socially responsible and participatory behavior
4. Using ICT to support sustainable lifestyles
Further, Demos Helsinki proposes ICT intensive futures forecasting to improve resilience in investments, education goals and science projects.
Qlu Oy: Proposal for a co-operation program to the Horizon 2020 EUI Research and Innovation program
Program Description
The goal for this program is to cost-efficient methods for building teching environments optimized for the needs of hard-of-hearing (HOH) students, but also serving efficiently the needs set by the new network based teaching methods. The main goal is to make it possible for everybody, also the HOH students, to participate efficiently in the bi-directional discussions in the teaching environment. This is especially important in learning foreign languages and also in the discussion based teamwork. These environments also have value in business and social life, which also are more and more operating in the network environment.
Working group
We propose that this program will be executed as a co-operation between our company, Qlu Oy and one or several finnish communal operators. If seen feasible, the community could be expanded toi include one or several communiocation technology companies and/or academic research groups.
Contact: Juha Nikula, Managing director, Qlu Oy, +358 40 5881138, juha.nikula(at)qlu.fi
Aalto yliopisto (Eero Hyvönen):
- Linked Data
- Linked Data quality and re-use
- Knowledge Discovery in Linked Data
- Visualization and exploration of Linked Data
- Semantic knowledge extraction from unstructured data
- Linked Big Data
Safety:
- There is a lot of SME industry where occupational and industrial safety and safety culture is at lower level than in large enterprises that can invest more to safety related things. One solution could be ICT based systems for risk assessment and risk identification. It is important to bring the safety improving solutions to the practical level in SMEs.
- Reliability, availability, maintainability and safety (RAMS) related issues shall be considered as an essential part of system engineering and as a whole from the beginning of the product design. RAMS related issues are very important in all machines and production systems but especially in paper industry and large manufacturing and production lines. Already now the production systems and machines include distributed control systems and a lot of diagnostics. Such ICT solutions are necessary in the product design that enable an effective RAMS design for products and production systems.
- Furthermore, internet of things (IoT) is strongly coming to industrial systems and machines, and this is a feature to be included to the product characteristics. IoT brings a lot of possibilities, but also risks and threats (information security, personal safety, etc.). These threats and measures to tackle these threats should be studied so that severe accidents, relating to both safety and security, can be prevented.
Future network and device evolution
University of Oulu / Markku Juntti
1. Improved access networks and enabling technologies for better energy and spectral efficiency as well as design and operation flexibility. Including software defined radios and networks. - Ultradense networks - Distributed antenna systems - Cloud processing
2. End-to-end optimization of wireless networks and connections for internet of connected objects and industrial internet to enable efficient use and support for big data applications over wireless connections. - Big data over wireless - Application driven connection optimization
3. Device and antenna technologies based on new materials: multimode and reconfigurable antenna technologies. - New materials - New antenna solutions
LVM/LPO interest groups/ Tulevaisuuskatsaus
Digitalisaatio
Teema liittyy laaja-alaisesti koko yhteiskunnan rakenteeseen, toimintaan ja kehitykseen. Teemassa ei rajoituta pelkkään digitaaliseen tekniikkaan ja raaka-dataan liittyvään problematiikkaan, vaan huomiota tulee kiinnittää myös sosiaalisten vaikutusten ja tiedonjalostusketjun toimintamalleihin liittyviin aiheisiin. Digitaalisen yhteiskunnan kehittäminen vaatii tiivistä julkisen ja yksityisen sektorin välistä yhteistyötä. Tältä osin haasteena on määrittää julkisen ja yksityisen sektorin roolit, tehtävät ja vastuut kehittämisen eri vaiheissa. Tarkoituksena on luoda pohja digitaalisuuden edellyttämälle paradigman muutokselle. Digitalisoituneessa yhteiskunnassa data sekä siitä analytiikan avulla luotu tieto ja siihen perustuva päätöksenteko ovat keskeisiä lisäarvoa luovia tekijöitä. Tieto luo perustan innovaatioille, uudelle liiketoiminnalle sekä hallinnon rakenteiden uudistamiselle, joilla vastataan murroksessa olevan toimintaympäristön haasteisiin ja otetaan haltuun sen tarjoamat mahdollisuudet. Digitaalisen talouden kasvu edellyttää, että digitaalisten palveluiden turvallisuus kyetään takaamaan. Digitalisaation kehittämiseen liittyy automaation vaikutusten arviointi, sosioekonomiset vaikutukset, ennakointi ja järjestelmien testaus.
”Kaiken internet, internet of everything” ja Internet of Things ja sen hyödyntäminen liikenteessä on vahvasti mukana tulevaisuudessa.
Meriliikenne ja –teollisuus:
- Teollisen internetin soveltamisesta meriteollisuuteen
- big datan hyödyntäminen
- Builging Information Modelling (BIM) ja elinkaaripalvelut
- miehittämättömättömät ratkaisut
- yritykset haluaisivat kehittää EU –projekteissa erityisesti tuotantoon (esim. robotiikka) ja tuotannonohjaukseen liittyviä innovaatioita
- Tiedon laajempaa hyödyntämistä ja älyliikenteen edistämistä mm. meriliikenteen turvallisuuden parantamiseksi
Maritime, Waterborne:
- automated time based emission measuring and reporting from process industry manu-facturing processes and impacts to greenhouse gas emissions to help to direct the pro-duction to be more eco-efficient
- 4D/5D real time video virtualisation in maritime spatial planning and to prevent disasters in sensitive areas and also to help estimate and forecast how the spills would behave in case of different climate conditions, connections to other databases
- 4D/5D video virtualisation in developing the logistics corridors in container and other freight transportation cases, how the heavy trucks impact on the roads and how the sea-port-inland port transport corridors should be developed and organised to lower the CO2 and other emissions.
- Cost management reporting systems utilising big data and cloud databases
- Fill rate optimization in global tarnsportation of goods
- Packing and fillrate optimization in every step of the goods transportation from factory to end customer
- Harbour time optimization at ship loading and unloading
- Robot utilization at warehouse order picking
- Energy saving robotics
- Independently moving and working robots at ware houses
- New pay per use business model for robot systems
- Big data analyzis of robot systems
- Robotics in house building
Ilmailu:
- miehittämätön ilmailu Unmanned Aerial Vehicles
- digitalisaatio on keskeinen osa miehittämättömän ilmailun kehitystä
- Laukkujen kuljetus lentokoneeseen voitaisiin automatisoida.
- Sähköinen automaattitraktori voisi vetää koneen portilta kiitoradalle
- SESAR –ohjelma sisältää paljon digitalisaatiota, tiedon hyödyntämistä ja automatisaatiota. Esim lentokentän liikennevirtojen ohjailu, häiriötilanteet (tuhkapilvet, lumisateet ym).
- Vaisala on kehittänyt lentokoneiden jäänestoon säästä riippuvan suoja-ajan laskentajär-jestelmän (Hold Over Time).
Miniature smart devices for detection of Atrial Fibrillation (University of Turku, Tuomas Valtonen)
Atrial fibrillation (AF) is a very common cardiac anomaly, present in approximately 2% of all people, i.e. in approximately 140 million people globally. The condition becomes even more commonplace from the age of 65 – approximately five percent of all 70 year-old persons and more than 10% of all persons 85 years or older suffer from AF.
Approx. 15 million people suffer stroke worldwide each year; of these, 5 million die and another 5 million are permanently disabled. In the EU, more than 463,000 people annually die from a stroke. As the lifetime cost of a stroke is estimated at approximately 65,500 euros, strokes burden the EU economy by over 3,600 disability-adjusted life years and more than 38 billion euros each year.
Approx. 15–45% of all strokes are caused by AF. Hence, in Europe alone AF accounts for up to 208,000 deaths per year and costs up to 17.1 billion euros per year. In addition, strokes due to AF are more severe than when due to other causes, due to which the actual cost of AF may be even greater.
By means of new anticoagulant medication products approx. 70% of strokes could be prevented. AF typically begins as asymptomatic, in which case the patient remains unaware of the condition ("silent AF"). If we could detect AF at an early stage before it causes blood clots and strokes, the EU alone could avoid up to 145,000 deaths every year and costs up to 12 billion euros per year.
Detection of silent AF is a major challenge, as its symptoms may be sporadic and thus absent during medical check-ups: for example, in one study the median time for detection of AF was 84 days. Via long-term monitoring, e.g. with a duration of several weeks, it would also be possible to detect silent AF. By means of wide-scale screening of risk groups, e.g. persons older than 65 years, we would not only spare lives, but also enhance quality of life and achieve significant economical savings.
In order to detect AF, there is a growing need for a miniaturised smart devices which can be conveniently worn during long time periods, possibly lasting up to a year. The development of novel detection techniques will serve as an important building block in a smart system for tracking the progression from silent AF to permanent AF. Today’s knowledge of this type of progression is scarce at best, the main reason being the lack of suitable recording technology. A solution to this problem could have major impact on future healthcare as AF is the most common sustained arrhythmia in clinical practice, all too often leading to a stroke.
Priorisointiperiaatteet
Koordinaatioryhmä määrittää yhteistyössä osallistujien kanssa, kuinka aihe-ehdotukset asetetaan tärkeysjärjestykseen. Koordinaatioryhmän muodostaa H2020-ohjelman virallisen ICT-komitean asiantuntijaryhmä, jossa on edustajat Tekesistä, Suomen Akatemiasta, LVM:stä ja STM:stä.
Viestinvälitys EU:n organisaatioissa
Tähän listaan kerätään vaikuttajaverkostoa, joka pystyy vaikuttamaan ICT-työohjelmien sisältöön.
- H2020 ICT-asiantuntijaryhmä (Tekes, Akatemia, LVM, STM)
- TEM
- CONNECT ADVISORY FORUM FOR ICT RESEARCH AND INNOVATION" (CAF), http://ec.europa.eu/digital-agenda/en/research-advisors
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