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(1)

European Projects for

Embedded Systems Design

Personal Experiences

Kim Guldstrand Larsen & Arne Skou

Aalborg Universitet

(2)

European Projects

ƒ

Why?

ƒ

Challenge and application of competence

ƒ

New partner.

ƒ

Maintain and develop network

ƒ

Common goals and deadlines strong motivators.

ƒ

(

Myths

) Why not?

ƒ

Too bureaucratic

ƒ

Too small chance

(3)

( Some ) European Projects

CONCUR2

ESPRIT BRA

1992-95

1998-01

VHS

ESPRIT LTR

2002-05

MULTIFORM

STREP

Project FP7

2008-11

ARTIST FP5

project

ARTIST FP6

NoE

ARTIST DESIGN

FP7 NoE

/

QES

/

AMETIST

IST Project FP5

Quasimodo

STREP

Project FP7

MBAT

ARTEMIS

MULTICORE

ARTEMIS

NN

(4)

The

“Project Hunting”

Algorithm

1.

Form (or get into) strong consortium

and at the same time

Foster ingenious idea for project

2. While

not

(submission deadline)

do

work

k

on the application

3.

Upload

e

(before deadline) application

4. Await

evaluation and decision of evaluation

5. If

invitation to ”negotiations”

then

celebrat

e

success within the consortium

6. else

drink

k

1/ 2 / .. “gravøl";

goto 1

.

(5)

The

“Project Hunting”

Algorithm

1.

Form (or get into) strong consortium

and at the same time

Foster ingenious idea for project

2. While

not

(submission deadline)

do

work

k

on the application

3.

Upload

e

(before deadline) application

4. Await

evaluation and decision of evaluation

5. If

invitation to ”negotiations”

then

celebrat

e

success within the consortium

6. else

drink

k

1/ 2 / .. “gravøl";

goto 1

.

7. goto 1

Work Programme

Previous Projects

See Guide for

Applicants

QES

MULTIFORM

Quasimodo

Previous Projects

Idea

Goals &

Stategy

Brokerage Meetings

Work Programme

(6)

Evaluation Process

Evaluation by experts

(7)

Evaluation criteria - STREPS

Proposals are

evaluated on three

criteria

ƒ

Scientific and

technical quality

ƒ

Implementation

ƒ

Impact

EU-Støtte til dit IKT Project, 10. december 2008 Kim G. Larsen [17]

What is a STREP ?

ƒ

Small or medium scale focused projects are

designed to generate the knowledge

required to improve European

competitiveness and to meet the needs of

society or Community policies:

ƒ by improving existing or developing new

products, processes or services and/or

ƒ by proving the viability of new technologies

offering potential economic advantage

(8)

The scoring scale

ƒ

Each criterion is given a score out of five, with

explanatory comments

ƒ

A threshold of 3/5 must be achieved on each

criterion

ƒ

An overall score is calculated for each proposal by

simple addition

ƒ

A threshold of 10/15 must be achieved on the

overall score

ƒ

Out of scope proposals are given low scores on

(9)

The scoring scale

ƒ

Use the full scale! Half marks may be given

ƒ

0 The proposal fails to address the criterion under

examination or

cannot be judged due to missing

or incomplete

information

ƒ

1 Very poor - The criterion is addressed in a cursory

and unsatisfactory

manner.

ƒ

2 Poor - There are serious inherent weaknesses in

relation to the criterion in question.

ƒ

3 Fair - While the proposal broadly addresses the

criterion, there

are significant weaknesses that

would need correcting.

ƒ

4 Good - The proposal addresses the criterion well,

although certain improvements are possible.

ƒ

5

Excellent - The proposal successfully addresses all

relevant aspects of the criterion in question. Any

shortcomings are minor

(10)
(11)
(12)
(13)
(14)
(15)

Quasimodo - Partners

Kim G Larsen ESI Symposium, December 4, 2008 Page 2

Quasimodo

Partners

ƒ

CISS, Aalborg DK

ƒ

ESI

NL

ƒ

CNRS, ENS

F

ƒ

RWTH, Aachen D

ƒ

U of Saarlandes D

ƒ

CFV

B

ƒ

Terma

DK

ƒ

CHESS

NL

ƒ

HYDAC

D

ƒ

MathWorks

(16)
(17)
(18)

Quasimodo – Goals & Strategy

Kim G Larsen ESI Symposium, December 4, 2008 Page 4

Quasimodo

Research Goals

1. Improving the modeling of quantitative aspects

2. Providing a wide range of powerful techniques for analysing models with quantitative information and for establishing abstraction relations between them.

3. Generating predictable code from quantitative models.

4. Improving the overall quality of testing by using suitable quantitative models as the basis for automatically generating sound and correct test cases. Quasimodo

Workplan Strategy

StateCharts & timed, hybrid, stochastic, priced, automata WP1 WP2 WP3 WP4 WP5 xLTS Well documented API’s & exchange formats
(19)

Multiform – Goals & Strategy

(20)
(21)

Quasimodo – Idea

Q

uasimodo Computation resources Power consumption Memory usage Communication bandwidth Costs Environment assumptions •Timing constraints •Hybrid behavior •Arrival rates Service requirements •QoS •Availability •Fault tolerance

MDD for ES

(22)
(23)

Brokerage Meetings

Den Haag,

23 October 08

Brussels,

13-14 January 09

(24)
(25)

MBAT – Modelbased Analysis & Test

(26)

TestCompass

TestCompass

ƒ

Contact

:

Sirris Belgium

[email protected]

ƒ

Short description

:

Testing is often considered as a “necessary evil”. In an ideal world, testing would not be needed. Unfortunately, testing efforts are needed to guarantee certain quality and safety levels. Testing usually requires big and continuous investments of which the return (ROI) is not always clear.

¾ Under-doing testing may result in quality and safety problems

¾ Overdoing testing may result in long release cycles and high cost

ƒ

Objectives

:

The challenge to be addressed in this project

¾ Develop positioning framework - the TestCompass – that allows companies to define a

test approach with an optimal ROI for their context • Real value of test, the why of testing

• Navigate through the jungle of testing approaches • When and how to test on what level and to what extend • How to increase test effectiveness and efficiency?

¾ Applicability of model based testing, search based testing, fault injection techniques

¾ How to influence standardization efforts

¾ how to achieve certification.

TestCompass

ƒ Innovation goals

¾ Define the TestCompass reference frame, including the different dimensions of testing (test coverage, the frequency of testing, amount of anticipation of potential failures…)

¾ Define a process for selecting within the huge state of the art the practices and techniques to support the selected test approach

¾ Set up different pilot projects to validate the reference frame

cove rage automa tion re gres sion Te st Fre qu en cy Anticipation of

Potential fai lures Underdoing

Overdoing

First indication of Consortium

Sirris, Barco, LMS, AVL, Thales, IVSZ, CEIT, ESI, UPV, Innovalia, IKT Norge, Aalborg Univ., Malardalen Univ, Austrian Research Centers, Fraunhofer

Countries involved: Belgium, France, Germany, Denmark, Italy, UK, Austria, Hungary, Spain, Norway, Sweden

Several countries expressed interest of different SME’s.and big companies.

Work packages: we foresee process and technology related work packages, as well as industrial demonstrators.

Effort: TBD Research methods Macro plan: 3 years

(27)

MultiCore for ES

ARTEMISIA Association Title Presentation - 1

Multicore Objectives

ƒ

Innovation goals

ƒ Utilizing multicore technologies in the context of system with certified safety-critical and non-safe sub-systems.

ƒ Developing a safety-critical multi-core reference architecture

ƒ Developing design and analysis methods and processes for the new architecture that enable certification

ƒ

Research Methods

ƒ

Macro plan : 3 years duration.

ƒ

Expected results

¾ Implementation prototype running a test application on the trusted platform.

¾ Certification plan that describes the step needed to achieve certification of the trusted platform

¾ Software maintenance plan defining the process for how both the critical and non-critical software can evolve while maintaining certification.

¾ Concept approval for the platform design, development procedures and tools by a notified body.

Consortium

¾ Contact [email protected]; [email protected]

¾ Finland

• industrial partners: Kone, Metso, Vacon, Space Systems Finland • academic partners: Åbo Akademi University, Aalto University

¾ Denmark

• industrial partners: Danfoss Drives

• academic partners: University of Southern Denmark, DTU, Aalborg University

¾ UK

• industrial partners: Infineon, WITTENSTEIN

¾ Germany

• Academic: TU Braunschweig • Industrial: Delphi, EADS

(28)

REMSEN – Remote Monitoring ..

REMSEN

-

Remote monitoring through scalable

Internet sensor networks for distributed energy

production

ƒ

Project Coordinators

¾ CENTRIA - Jorma Hintikka, [email protected]

¾ Sensinode - Zach Shelby, [email protected]

ƒ

Overview

¾ Large-scale oil and gas and small-scale distributed renewable energy production and distribution can be made more competitive, cost effective and widely deployable through pervasive remote monitoring and control.

ƒ

Expected Results

¾ REMSEN will create leading edge scalable Internet-based pervasive SoA architecture and platform for remote energy monitoring applications along with process optimization, data mining and forecasting tools

¾ Real pilots in oil, gas, solar, wind, bioenergy, including the on-site environment

¾ 5-10% savings in oil/gas, 10-20% savings in renewable energy

ƒ

Macro Plan

¾ 3 year project (2 R&D + 1 Piloting), ~7-10 MEUR budget

REMSEN

-

Remote monitoring through scalable

Internet sensor networks for distributed energy

production

ƒ

Work Packages

¾ WP1 - Business value, Requirements & Impact

¾ WP2 - System Architecture

¾ WP3 - Communication

¾ WP4 - Service Research

¾ WP5 - Implementation & Integration

¾ WP6 - Piloting

¾ WP7 - Dissemination & Exploitation

ƒ

Current consortium

¾ Industrial (8), SME (7), Research (4)

¾ Finland: CENTRIA, Sensinode, Vaisala, GasEK, PPO, Univ. Oulu

¾ Norway: Wireless Future, Statoil, TBD

¾ Sweden: Process IT, Bioenergy company, TBD

¾ Portugal: ISA, ISR, Energy company

¾ Spain: Acciona, ESI, Aurensis, UAB, QNR, Kifer

(29)

UESoS

UESoS -

Ubiquitious Embedded Systems of Systems

Applied to Public Infrastructures and Scenarios

ƒ

Ubiquitious Embedded Systems of Systems Applied to Public

Infrastructures and Scenarios

/ UESoS

ƒ

Contact: [email protected] / [email protected]

ƒ

Targets the seamless cooperation, syndication and orchestration of embedded devices, systems and SoS (system of systems) across smart spaces on public infrastructures in a context-dependent, selfmanaged and trustworthy manner. The project seeks the design, development, deployment and operation of collaborative devices (sensors, actuators, control units etc) in public

infrastructure management scenarios. Business objectives: Sustainability of large public infrastructures, efficient usage of resources and enhanced mantainance and operations of complex embedded system enabled infrastructures.

ƒ

First indication of

¾ ESP (ACCIONA, INDRA, ATOS, ESI,UiB), FR (IT), BE (CETIC), GE (SIEMENS), GR (HAI), IT (UROM) (open)

¾ Spain, France, Belgium, Italy, Germany, Greece (open)

¾ WPs: Management/Exploitation-Dissemination/Architecture/Platfomrs/Demonstration.

¾ Medium size project (TBD)

The Home for the Smart Grid

ƒ

Objective:

¾ Monitoring and control of resources in homes utilizing networked power metering

nodes and other types of sensors (gas, water, temperature, humidity, etc.) connected to room/building controllers, allowing for remote access, using input from/interacting with the smart grid

ƒ

Differentiation from e-Diane

¾ Market segment: homes/households and neighborhoods, considering extension to

buildings (hospitals, offices, schools, etc.)

¾ Management of resources reflecting comfort constraints (HVAC, indoor air quality),

safety aspects (gas leakage, improper operation of equipment), and security aspects (interconnection between alarm system and energy management system)

¾ Human factors - human-centric design of user interfaces, active engagement of

people, learning patterns of human behavior, allowing for remote access

ƒ

Interested parties:

¾ Coordinator: Petr Stluka, Honeywell, Czech Republic, [email protected]

¾ Organizations: industry (3), university (3), SME (5), RO (5)

¾ Countries: Denmark, Finland, Spain, Greece, Portugal, Belgium, France

ƒ

Plan:

¾ 3 years total, first two years R&D and integration, 1 year demonstration

ƒ

Expected results
(30)

DiNES

-

RTI

Innovation Network for Embedded Systems

IH Århus

IH København

VIA University College,

Horsens

Teknologisk Institut

Delta

(31)

GOOD LUCK

PROJECT HUNTING !

GOOD LUCK

PROJECT HUNTING

!!

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