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Digital MeSmart Society / Cyber-Psychical systems

Patrik FloréenHelsinki Institute for Information Technology HIIT

Patrik.Floreen@hiit.fi

Logging a person’s digital footprint• Digital Me (DiMe) software built as part of our Revolution

of Knowledge Work project www.reknow.fi• Free and open source software, current version 0.2, aim

1.0 by 6/2017• https://github.com/HIIT/dime-server• Runs locally on Mac OS X, Linux (and Windows )• Loggers record events from the person’s actions and the

environment• The user can manage her own data (MyData approach)

Applications on top of the logged data• Different applications can be built using logged events

and other data• We are interested in leveraging machine learning to build

intelligent applications• Example application idea: automatic time tracking of

knowledge worker’s work time for project billing andoccupational health purposes

• What is your idea?

ProHealth - Prognostics andHealth Management

Manager Electronics, dag.andersson@swerea.seDag Andersson

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Sweden – Finland joint ICT/Digitalisationproject planning workshop

Project DetailsProject Acronym ProHealth

Project Title Prognostics and Health Management(of Smart Systems)

Work Programme,Challenge, Objective

ECSEL, Smart Mobility, SmartSystems Integration

ScopePrognostics and Health Managementof Smart Systems (see Metro Map)

Type of Action RIA

Project ConsortiumBosch, FhG ENAS, IMEC, ON-semi,SAAB, Swerea IVF, Sirris+more Industry partners sought

Project Budget 20M€+Project Duration 36 months

Sweden – Finland joint ICT/Digitalisation project planning workshop – Helsinki - 170208

PHM Metro Map

Bosch started and it wasrefined at EuWorel 2016

EuWoRel 2016 = 4th European Expert Workshopon Reliability of Electronics and Smart Systems(an EPoSS sponsored event)

Sweden – Finland joint ICT/Digitalisation project planning workshop – Helsinki - 170208

Cyber Security by Software Diversification(Themes: Security, smart healthcare & infrastructure)

Ville Leppänen (+ research group)prof. in software engineering & software security

SWE-FIN ICT/Digitalisation project planning workshop8.2.2017, Tekes TF-talo, Sora

• Lots of malware and malicious activity:Your system secure? System delivered byYou secure?

• New proactive security method:Change internal details, malware nolonger works as it needs knowledge oninternal to access resources!

• No need to know internal details outside –diversification does not change externalsystem functionality. Possibly no systemslowdown!

• Similar to diversity in Nature – currentmonoculture of IT systems very bad!

• Let us apply to your product / system!

• Research previous in CyberTrust SHOK and• MATINE-funded project (DefMin), 2014-2017• Proof-of-concept solutions for Linux kernel + libraries

+ apps, Thingsee OS, Raspberry Pi, command shells,SQL-layer, web-layer (Ajax)

• 20+ publications by about 10 UTU persons (studiedalso in USA, France, Belgium, Sweden, Norway, ...)

Looking for & Offering• Improving Your system’s security by software diversification and other

means (trusted computing, container security, …)• Helping You to build more secure systems for Your clients.• Security SW vendors to build tools and diversification service business

with us.• Most appealing fields for joint project: medical devices & systems, ICS,

energy field, infrastructure.• Offering an active research group of 6-8 persons (20-30 security

publications yearly) and lots of proof-of-concept tools• Ville.Leppanen@utu.fi http://staff.cs.utu.fi/staff/ville.leppanen/

Project ManagerMichael.Nilsson@ltu.sewww.ltu.se/cdt and www.cloudberry–datacenters.comPh +46 70 2884520

Mapping.Key Application. Smart Energy / Smart SocietyEssential Capabilities. Cyber Physical Systems / Smart SystemsIntegration

Centre for Distance-spanning Technology –a joint ICT Research centre at LTUCentre for Distance-spanning Technology –a joint ICT Research centre at LTU

Vision: Improve communication and informationprocessing for a better, emerging society

From Knowledge based innovationinto sustainable new business

Mission: Accelerate ICT innovations for ourpartners, with desirable and sustainable

impact, based on high qualityscientific research

IoT Datacenter Communication

2) Create a joint Swe-Fin Datacenters research& innovation programme! The Nordics couldtake the lead in EU in this fast growing industrywith support from Tekes, Vinnova!

1) Areas of interests:- IoT- Datacenter (Energy efficiency, Big Data etc- Communication (5G, Cloud)

Dr. Marja MatinmikkoProf. Matti Latva-ahomarja.matinmikko@oulu.fimatti.latva-aho@oulu.fi

Cost efficientand timely

availability oflocal 5Gsmall cellnetworks

Key enabler:

Prof. Jens Zander

jenz@kth.se

Newoperational

models

Industrialtransformations

EuropeanGigabitsociety

Local 5G small cell networks forenabling “European Gigabit Society”

Local 5G small cell networks for enabling“European Gigabit Society”‒ NEED: Cost-efficient availability of premium quality wireless connectivity in high

demand indoor locations, such as hospitals, campuses, factories, and malls, is abottleneck that slows down digitalization and development of new innovativeservices.

‒ APPROACH: New operational models in regulatory, business, and technologydevelopments are needed to speed up widespread deployment of high capacity 5Gindoor small cell networks to realize European Gigabit Society*.

‒ BENEFITS: Adding flexibility in regulation (e.g. authorization of networks andservices) can speed up the take-up of new local networks to allow differentstakeholders to invest in networks and offer new services in verticals usinginfrastructure and resources on a shared basis.

‒ COMPETITION: Evolution of traditional (closed) operator dominant mobile market andoperation in unlicensed bands will slow down the industrial transform.

*European Commission. Connectivity for a Competitive Digital Single Market: Towards a European Gigabit Society. Nov. 2016.http://ec.europa.eu/newsroom/dae/document.cfm?doc_id=17182

Key proposedelements New regulation for 5G:

- New European level authorization (e.g. spectrum management) modelsto establish local small cell networks by different stakeholders to servethe versatile needs of verticals.

- Relaxing of old stringent rules on incumbents and minimal regulatoryrequirements for new entrants.

Techno-economics for new business models:- Promotion of economic feasibility of investments in indoor network

infrastructure.- Novel operation/business models for providing new services in verticals.

Technology for shared operations:- Scalable technical solutions for infrastructure sharing (network slicing).- Techniques for interference coordination between small cell networks and

protection of primaries in higher frequency bands.

Techno-economics

Technology

Regulation

Adress (postal/visit) +46 (0)8 542 44 900 Div. of Sensor and Actuator SystemsIsafjordsgatan 39B www.sensic.se IFM, Linköping UniversitySE- 164 40 Kista, Sweden info@sensic.se SE-581 83 Linköping, Sweden

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√

√

√√

Bio-basedproduction

process control

Resourceefficient

production

Environmentalmonitoring

Energy and fuelproduction process

control

Efficientwaste

management

Emissions and wastetreatment process

control

Renewable resource/ energy management

Efficient resource utilization

Adress (postal/visit) +46 (0)8 542 44 900 Div. of Sensor and Actuator SystemsIsafjordsgatan 39B www.sensic.se IFM, Linköping UniversitySE- 164 40 Kista, Sweden info@sensic.se SE-581 83 Linköping, Sweden

Emissions reduction

Energy conversion

• Automotive

• Marine/ (Off-road)

• Heat and powerproduction

• Automotive

• Marine/ Off-road

• Heat and powerproduction

Process control

• Fuels/ Energy storage

• Chemicals

• Recycling/ Waste treatm

On-Board DiagnosticsVarying fuel comp/qualDynamic engine control

Legal requirements onemissions reporting

Local/ district heatingWaste incineration

On-Board fuel reformingDynamic fuel cell controlFlexi-fuel/ fuel quality

Fuel reformingVarying fuel quality

Domestic heatingVarying fuel comp/qual

Bio-fuel productionBio-process controlFuel cell monitoring

Quality control/Catalyst diagnostics

Gas/ liquidpurification

“The development and commercialization ofa flexible embedded sensor/ control system

platform to facilitate resource-, energy-, and cost-efficient (bio-based) power generation, industry 4.0-

production, and transportation with minimal carbon footprintand zero pollutant emissions for a sustainable society”

Adress (postal/visit) +46 (0)8 542 44 900 Div. of Sensor and Actuator SystemsIsafjordsgatan 39B www.sensic.se IFM, Linköping UniversitySE- 164 40 Kista, Sweden info@sensic.se SE-581 83 Linköping, Sweden

Co-Destruction of Value with and by Users ofCyber-Physical Systems and Services

Cyber Physical Systems, Safety andSecurity, Design Technology

Prof. Tuure Tuunanentuure.tuunanen@jyu.fi

Value Co-Creation and Co-Destruction in CPSSsettings

• Consumer applications of cyber-physical systems and services(CPSS) are platforms for consumer value co-creation– Smart home, Smart hospital, Autonomous vehicles, etc.

• Value co-creation is pursued but value is also co-destructed inuse– E.g. Decrease of privacy, Loss of safety, Environmental values, Loss of

independency, Insufficient gained benefit

Project Goal and Team Expertise• To gain understanding about how value is co-destructed between humans

and systems in CPSS settings• Development of New Design Methods and Practices

– supporting and enabling value co-creation and limiting value co-destructionbehavior of CPSS’ end-users

• The team’s capabilities– CPSS Users’ Value Co-Creation & Co-Destruction Behaviour– CPSS Design Method Development– CPSS Security (technical and managerial)– CPSS business models & ecosystems– Analyze actual usage data

• We are looking for industry partners with CPSS applications.

39

Janne JärvinenJanne.jarvinen@f-

secure.com+358407544738

F-SECURE

OUR HOLISTIC APPROACH TO CYBERSECURITY

40

41

WE KEEP INVESTING IN GROWTHAREAS

§ Secures your smarthome with one deviceby creating a securenetwork for all of yourconnected devices.

§ To be sold toconsumers online andthrough operators

GROWTHMARKET

EXPANSION OF THE INTERNET OFTHINGS

The amount of connected devices is expected toquadruble to over 20 billion by the year 2020.

INCREASING CYBER ATTACKSThe amount of security incidents increased by

nearly 40% in 2015 and It takes months or years todetect an incident..

COMINGF-SECURESOLUTIONS

F-SECURE SENSE

§ A new solution whichmonitors IT systems in real-time, detects breaches andhelps companies respond toincidents quickly

§ To be sold to enterprisecustomers and othercompanies with critical ITsystems

RAPID DETECTION SERVICE

Source: PwC, Global State of information security survey 2016Source: Gartner

EmercareIntelligent data driven

decision making systems foremergency care

Minna Pikkarainenminna.Pikkarainen@vtt.fi / minna.Pikkarainen@oulu.fi

Heidi Similäheidi.simila@vtt.fi

Decision making example

Data integration& Decision

making support

1. My phonetells that

something iswrong, I have

told to rest

2. My motherhas somethingwrong, homecare can help,

they have beeninformed about

the situation

3. There is analert from Mary, I

will take somelaboratory testsand check the

medication, thesituation needsto be checkedwith a doctor

4. Mary has aheart problem,

perhaps themedication hasto be changed…

5. Data(measured &

lab teststaken by

home care)shows thatMary needsto have asurgery

6. I got automaticmessage, Mary needs

help to get to thehospital, not urgent

situation confirmed by adoctor

7.Im close toMary’s home so Ican take her to

hospital by a car,ambulance is not

needed

Patient (Mary)

CaregiverHome carenurse

Doctor

Ambulance worker

Call Centre

9. I got amessage

fromdoctor

what to do,Someone

will pick meup fromhome tohospital

Innovation• Intelligent real time data integration and analysis for

emergency decision making (for consumers, doctors,home care players)

• Decision making system for ambulance workers, homecare and doctor

• Right decisions how ICT can help you• Having all the needed information for patient and

professionals to make personalized decisions• Usage of newest technologies & home measurements

& wearable medical technologies & AI in the decisionmaking.

• Demonstrations of safe, smooth data transformation &authentication in emergency situations

Heikki Saari, VTTHeikki.Saari@vtt.fi

Baran Cürüklü, Mälardalen Universitybaran.curuklu@mdh.se

Aggregate Farming in the Cloud

Project ObjectivesEasier, ecological and cost-efficient creation, planning and execution of farmingwork“precision farming” = smart ecosystem consisting of• autonomous and semi-autonomous vehicles• complex sensing technologies• intervention mechanismsApplication domains:• Crop management

• for soil and growth monitoring, illness detection and precise intervention in:• Horticulture, Vineyards, Fodder

• Livestock management• for health and feeding monitoring, tracking, position and precise intervention in:• Dairy and beef cattle, Herd of pigs, Chicken farms

Validation and testing : Spain, Italy, Finland, Latvia

Proposal Facts• AFarCloud proposal for ECSEL2016 call as a starting point• Over 50 partners from 14 countries interested• Universidad Politécnica de Madrid (UPM) as coordinator• Nordic consortium well constructed

• Ntl coords VTT , Sintef and Mälardalen University• Still room for some new business partners• In Finland end-user business partners in particular

Dr. Mourad OussalahHead of Social Mining Research Group

Centre for Ubiquitous ComputingFaculty of Information TechnolgyUniversity of Oulu, 90014 Finland

Mourad.Oussalah@ee.oulu.fi

We want to build on:- CrisisTacker for Twitter analysis http://ufn.virtues.fi/crisistracker that

won Obama’s Tech Challenge for Atrocity Prevention- iSciene: Using smartphone for science (Academy of Finland Project)http://www.awareframework.com/

- Studying Community through public display

- Crowdsourcing on public displays

Possible ideas

• Integration of social media dataset (unstructured) and structured dataset(web-document) and user ontology (user’s profile) in order to build apersonalized summarizer.

• Investigation of Slang words (multi-language) that emerge from socialmedia dataset and community-related vocabulary in order to understandmulti-cultural integration.

• Use of smartphone accelerometer and gyroscope data in order to mapusers’ movement and group dynamics and recognize semantic of users’locations.

ASHOKASmart Service Ecosystem for the

healthcare of the Elderly

SMART HEALTH ECSEL (RIA)

FAST LaboratoryTampere University of TechnologyProf. Lastra jose.lastra@tut.fiAmalia Moreno amalia.morenogalera@tut.fi

15.2.2017 61

• ASHOKA platform

AAL Environment

Create a digital health platform ecosystem to facilitate the diagnosis and treatment of Coronary HeartDisease (CHD) , Diabetes Mellitus (DM) and Mild Cognitive Impairment (MCI) pathologies. Theplatform offers different services in a patient centric approach from: ambient comfortability, rehabilitationeffectiveness, preventive care, chronic maintenance, and detection of health related risk factors.Furthermore, this digital health platform ecosystem empowers healthcare personnel (e.g. nurses anddoctors) to monitor the patient’s status remotely in real time. Therefore, this platform aims to reduce theburden on public care systems by casualty and unscheduled hospitalizations

Current consortium:FI, ES, NL, LT?, RO?.

Project preparationleaders and contacts:Amalia Moreno andProf. Lastra.{amalia.morenogalera,jose.lastra}@tut.fi

Looking for:- Strong Swedishconsortium.- Partners for networkintegration,interoperability andstandardization.

Objectives:

Smart Loosely-coupled Industrial CPSSMILE

Current consortium:FI, CZ, DE?, ES, IT,PL, RO, SK?, TR.

Project preparationleaders and contacts:Dr. Lobov and Prof.Lastra. {andrei.lobov,jose.lastra}@tut.fi

Looking for:- Strong Swedishconsortium.- … 2 additionalFinnish SMEs(Currently there are 3companies).

Objectives:Loosely-coupled computational architecture forindustrial systems to reduce costs associated withtraditional hierarchical industrial IT infrastructure.Improved performance of industrial CPS, extendedsharing and use of available resources at all the “levels”in the organization.

FAST-Lab @ TUT : www.tut.fi/fast

XCounterXCounter

Large area Spectral X-Ray imager

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XCounter AB www.xcounter.comChrister Ullberg christer.ullberg@xcounter.comSvärdvägen 23, S-18233 DanderydSweden

XCounterXCounter

Large area Spectral X-Ray imager

• Today visibility of features in X-ray images may be obscured by for

example bones. With spectral images the can largely be overcome.

• Spectral photon counting detectors exists today only in relatively

small sizes due to the complexity to connect the readout channels.

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Standard image

Soft tissue only

XCounterXCounter

Large area Spectral X-Ray imager

• We propose developing a four side buttable CMOS with TSV

technology to allow building a 3D readout substrate for use in

medical and industrial applications.

• Applications include Computer Tomography (CT), Angiography,

Chest imaging, mammography, food inspection, NDT ….

• Challenges to proposed development is to maintain the low noise

needed for the sensitive front end as well the vertical integration

compatible with X-ray sensor bump bonding.

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Jeaneth Johansson

Assoc. Professor, Accounting & ControlEntrepreneurship & InnovationBusiness Adminstration, Technology andSocial SciencesLuleå Universtiy of Technologyjeaneth.johansson@ltu.se

Professor,Accounting & Financial decision-makingSchool of Business, Engineering andScienceHalmstad University

Ph +46 (0)73 514 38 40

Sweden – Finland joint ICT/ Digitalisation project planning workshop

CONTEXTS

Areas for contributions:• Collaboration models

• Business models

• Financial decision-making & investments

• Governance

• Sustainability/ CSR

• Organizational changes and adoption

Intelligent Systems in Smart IntegrationEsko Juuso, Control Engineering, Faculty of Technology

ControlDecision makingControl

Decision makingControl

Maintenance

ModellingRisk identification

Risk analysisHigh-level control

Diagnostics

Performance analysisCoordination

StrategyAdaptation

Intelligent analyser(Software sensor)Intelligent analyser

(Software sensor)Intelligent analyser(Software sensor)

Measurementtechnology

ProcessMachines

Measurements

Modelling

Open data

Data Analysis- Features- Indicators- Modelling

Quality control & anomalydetection

Data processing chain

Trend analysis, prognosis

ServicesConcept

Monitoring and management frameworkfor early risk management

Services- Monitoring methods- Decision Support Modelling & Prognostics

Monitoring methods and tools

Decision support systems

Remote Sensing- Radar- Lidar- Airborne

Measurements- Process- Condition- Environment

On-line process measurements

Waveform signals

Atmospheric boundary layersensing with radar, lidar &

airborne instruments

Sampling & analysis

Probabilistic regional forecasting

Smart Integration of Services

I2oT

I2oT Domain expertise

Data

Control EngineeringE Juuso

I2oS2

Signalsà Featuresà Indices, Indicators

Very good

Surface damage

Misalignment

Strong friction

Level

Impacts

Control EngineeringE Juuso

pp

p

p MM /1)( at

at =

Order of norm:

Order of derivation:Frequency range: as low as possibleSpectral norms

Signal length = several sample times ß Phenomena

Sample time

Digitization in the outcome economyWednesday 8th of February 2017, Helsinki

Tuomas HuikkolaResearcher

University of Vaasa, Networked Value Systems (NeVS) -Research group

E-mail: tuomas.huikkola@uva.fiPhone: +358 29 449 8448

Theme map: Smart Production

What is the role of digitization in theoutcome economy?

• ”The ability to create value by delivering solutions that inturn lead to quantifiable results” (Accenture, Technologyvision 2015)

• The outcome economy is enabled by converging differenttechnologies such as cloud, analytics, hardware, softwareetc..

• Digitization is required specifically to deliver, quantify andverify the end results provided to the customer

• What type of strategies and business models areimplemented to facilitate this strategic transformation in themanufacturing context should be studied more

About us (NeVS-research group)Scientific contributions-Many academic articles related to servitization and strategy processpublished in the top strategy and marketing journals (ABS 4, ABS 3 levelpublications)-Active in several Tekes-funded programs including SystemI, FutIS, S4Fleet…Practical contributions-Development work with companies operating in the Ostrobothnia area,including companies such as Wärtsilä and ABBInternational collaboration-International collaboration with distinguished scholars from Luleå Universityof Technology (Sweden), Aston Business School (Birmingham, UK) and Eawag(Switzerland)

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