Category: Completed

CompletedRobotics

ADACORSA

Provide technologies to render drones as a safe and efficient component of the mobility mix, with differentiated, safe and reliable capabilities in extended beyond visual line of sight (BVLOS) operations.

Duration: 05/2020 – 05/2023  Funding: HORIZON 2020, ESCEL JU                                     

Partners: INFINEON TECHNOLOGIES AG ,RUHR-UNIVERSITAET BOCHUM, FRAUNHOFER GESELLSCHAFT ZUR, FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V., GIESECKE+DEVRIENT MOBILE SECURITY GMBH, esc Aerospace GmbH, OSTBAYERISCHE TECHNISCHE HOCHSCHULEAMBERG-WEIDEN, UNIVERSITAET DER BUNDESWEHR MUENCHEN, Syrphus GmbH, BAUHAUS LUFTFAHRT EV, SysGo AG, Aviontek GmbH, Human Factors Consult GmbH, NXP SEMICONDUCTORS NETHERLANDS BV, ALMENDE BV, ANYWI TECHNOLOGY BV, Innatera Nanosystems B.V., TECHNISCHE UNIVERSITEIT , ELFT, TECHNOLUTION BV, Celestia Technology Group B.V., STICHTING NATIONAAL LUCHT- EN , UIMTEVAARTLABORATORIUM, AVULAR BV, INFINEON TECHNOLOGIES AUSTRIA AG, TTTECH , OMPUTERTECHNIK AG, FREQUENTIS AG, TECHNISCHE UNIVERSITAET GRAZ, Kompetenzzentrum – Das Virtuelle Fahrzeug, Forschungsgesellschaft mbH, UNIVERSITAET KLAGENFURT, CISC SEMICONDUCTOR GMBH, COMMISSARIAT A L’ENERGIE ATOMIQUE ET AUX ENERGIES ALTERNATIVES, Lund University, ERICSSON AB, Katam Technologies AB, INTERNET OF THINGS APPLICATIONS ANDMULTI LAYER DEVELOPMENT LTD, ALTUS LSA COMMERCIAL AND MANUFACTURING SA, HAROKOPIO UNIVERSITY, UAB METIS BALTIC, INSTITUTO SUPERIOR DE ENGENHARIA DO PORTO, AIRHOLDING SA (EMBRAER), FORD OTOMOTIV SANAYI ANONIM SIRKETI TUSAS-TURK HAVACILIK VE UZAY SANAYII AS, TURKCELL TEKNOLOJI ARASTIRMA VE GELISTIRME ANONIM SIRKETI, TURKIYE BILIMSEL VE TEKNOLOJIK ARASTIRMA KURUMU, SMART, ROBONIK, INFINEON TECHNOLOGIES ITALIA SRL, CONSORZIO NAZIONALE INTERUNIVERSITARIO PER LA NANOELETTRONICA, UNIVERSITA DEGLI STUDI DI PARMA, NOKIA TECHNOLOGIES OY, TAMPEREEN KORKEAKOULUSAATIO SR, CROSSCONTROL

ADACORSA

Project’s ambition is to provide European technology to render drones as a safe and efficient component of the mobility mix, with differentiated, safe and reliable capabilities in extended beyond visual line of sight (BVLOS) operations. BVLOS demands levels of autonomy and collaboration that have hitherto only been seen in the autonomous vehicle market. It is expected that technologies developed for those markets can be exploited for drone application. Technology can, however, only enable the compliance of operations with the regulatory framework which must also be defined. Fortunately, that process is already in flow with U-Space, building and testing the operational and regulatory framework that enables this new dawn from a regulatory and compliance perspective. ADACORSA will inform these regulatory initiatives about technical capabilities and constraints, based on development and prototype experimentation by partners from both within and outside of today’s aerospace community.

PROJECT WEBSITE

Contribution

Almende will develop a distributed simulation framework in which drone components, systems and to some extend architectures can be tested. The framework shall be based on ROS and Gazebo and allow for in the loop testing of both software and hardware. Almende will create a simulated environment to test algorithms in a close-to-real-time simulation and multiple possibilities within this environment.

Results

The results of the project are relevant for DoBots, a Almende spin-off. DoBots is focused on software used to make machinery fully automated and synergetic with its surroundings. We expect that many of the software elements related to sensor data fusion, positioning and detect and avoid systems implementation, can be re-used for other applications and projects run by DoBots. 

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 17-11-2020 0
CompletedHealth

NeLL

National eHealth Living Lab

Duration: 07/2019 – 11/2021 Funding: EFRO                                

Partners: LUMC, NeLL, Sense Health, Vital10, TNO, Holland Health Data Corporatie, PsyQ, Pacmed, Zorg&Zekerheid, Zilveren Kruis, Zorginstituut Nederland, Gemeente Leiden

NeLL

NeLL is a joint undertaking by e-health companies, research organizations, and several reimbursement companies, led by the eponymous Nationaal eHealth Living Lab, a spin-off of the Leiden University Medical Center. The goal of the project is to speed the development, validation, and reimbursement of promising e-health solutions through the creation of best practices distilled from the collective expertise of the project partners and expert groups.

The above will result in the creation of new models for the use of big data by existing and new e-health solutions, the validation of e-health solutions using new research methods to replace the current standard of randomized controlled trials which take a long time to yield results and are not always suited to technology, and the creation of structural reimbursement models that create room for technology by focusing on quantifiable output measures.

PROJECT WEBSITE

Contribution

Almende will further develop the concept of a 'diagnosis-technology combination', a concept we originated as a logical evolution of the 'diagnose-behandelcombinatie' (DBC) common in Dutch healthcare. Under this approach, which will be created in close collaboration with the various stakeholder groups in the project, we want to create structural reimbursement schemes based on common characteristics of technology (for instance; administration, communication, monitoring) which have been proven beneficial to treatments. This will then allow other e-health developers to more easily get their technology reimbursed, thus speeding the adoption of e-health by the market.

Results

Technology can often increase the efficiency of treatments as well as make them more personalised and flexible, but the adoption of e-health solutions is still very slow. With NeLL, Almende hopes to accelerate the adoption of e-health in the Dutch healthcare market. Apart from benefiting our own spin-off companies active in the e-health and healthcare domains, we believe that the entire healthcare system will benefit from the adoption of high-quality e-health solutions making use of the best practices developed in this project.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 31-07-2020 0
CompletedOther

ROD 2.0

Rotterdam Open Data 2.0

Duration: 10/2011 – 10/2012  Funding: Rotterdam Media Commission

Partners: Gemeente Rotterdam, Hogeschool Rotterdam, Rotterdam Community Solutions, Sense Observation Systems

ROD 2.0

Rotterdam Open Data (ROD) is a local initiative that aims to make governmental and municipal data publicly available and accessible to everyone. The initiators of ROD believe that individuals and (creative) enterprises can benefit greatly from public data on topics such as health, infrastructure, mobility, safety.

The main tool of ROD is the Rotterdam Open Data Store, a ‘content hub’ where data is collected and made available. Students, researchers and businesses are encouraged to use open data to develop innovative applications and services.

ROD 2.0 was the next step in this mission to disclose useful (non-private) information. The project aims to make the Data Store more interactive and complete by including user-generated content. At the time, the Data Store was only fed by governmental sources. An interactive two-way flow of information would greatly enhance the value of the data.

A second point of attention within the project was improving cooperation between municipality, business, research and education. ROD not only makes municipal data available to the latter three groups, but also encouraged parties to learn from each other.

PROJECT WEBSITE

Contribution

Merely making open data available is not enough, the data needs to be accessible. Almende focused on visualizing large amounts of data in such a way that people can interpret and use them. Furthermore, the CommonSense platform which was developed by Almende's subsidiary Sense Observation Systems, was used to enrich the data. In CommonSense, data from various feeds can be combined to learn to interpret states of the world. These states can then be used for any kind of user application.

Results

The project provided a way for us to leverage self-organization through open data. By making data publicly available, citizens and decision makers are empowered to do their own analyses and make better decisions. Furthermore, the use of the CommonSense platform also allowed us to learn how to integrate our own data sources and platforms in an open ecosystem.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedRobotics

REPLICATOR

Robotic Evolutionary Self-Programming and Self-Assembling Organisms

Duration: 3/2008 – 9/2013  Funding: FP7

Partners: UniversitÃĪt Stuttgart, Graz University, Karsruher Institut FÞr Technologie, Sheffield Hallam University, Scuola Superior Sant’Anna, Czech Technical University Prague, Fraunhofer, IMA, Ubisense

REPLICATOR

The Replicator project focuses on the development of an advanced robotic system, consisting of a super-large-scale swarm of small autonomous mobile micro-robots that are capable of self-assembling into large artificial organisms. These robotic organisms posses common energy and information buses as well as reliable legged, wheeled or climbing locomotion, based om modular sub-systems which can be autonomously reconfigured. Thanks to the heterogeneity of the elementary robots and their capability to share resources and communicate, the robotic organisms are able to achieve a large computational power, and rich close-and far-range sensing. The energy is autonomously harvested from external power sources.

The main goal of the project is to develop novel principles underlying these robotic organisms, such as self-configuration, self-adjustment, and self learning. The bio-inspired evolutionary approach and evolvable hardware structure adopted in this project enable the robotic organisms to emerge new functionalities, to develop their own cognitive and control structures and, finally, to work autonomously in uncertain situations without human supervision. Ultimately, these robotic organisms, which are extremely adaptive, robust, scalable and rich in sensing and actuating capabilities, will be used to build autonomous sensor networks, capable of self-spreading and self-maintaining in open-ended, even hazardous, environments.

PROJECT WEBSITE

Contribution

Almende was primarily responsible for the cognition of robotic organisms through sensor fusion, as well as creating the control schemes which enabled robotic organisms to exhibit self-organized control based on sensory inputs and their own operational settings, as well as testing and optimizing the aforementioned in the provided test settings.

Results

The project contributed to our robotics expertise, and was one of the first projects where we experimented with distributed control of robots to create artificial, self-organized 'organisms' that were able to operate with a limited sense of autonomy.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedOther

RURITAGE

Rural regeneration through systemic heritage-led strategies

Duration: 6/2018 – 5/2022  Funding: H2020

Partners: University of Bologna, ACIR compostelle, AEICE Construction and Habitat Cluster, Agency for the Promotion of European Research, Geopark Karavanke, KIBLA, Pro Educatione, Borghi Italia, Centre for Systems Solutions, Consulta Europa, Demir Enerji, DARePUGLIA, Émi, FederaciÃģn Colombiana de Municipios, Fundacion Cartif, Tecnalia, Geo-naturpark Bergstrasse-Odenwald, Harghita County Council, ICLEI Europe, WestBIC, KULTprotur, Izmir Institute of Technology, Izmir Metropolitan Municipality, Katla Geopark Iceland, Magma Geopark, Municipality of Appignano del Tronto, Municipality of VisegrÃĄd, Natural History Museum of the Lesvos Petrified Forest, Norwegian University of Life Sciences, Piam Onlus, Politecnico di Torino, Santa María la Real Foundation, Savonia University of Applied Sciences, Unesco Geopark Haute Provence, UNESCO, Natural History Museum of Crete, University of Plymouth

RURITAGE

European rural areas embody outstanding examples of Cultural and Natural Heritage that need not only to be safeguarded but also promoted as a driver for competitiveness, sustainable and inclusive growth and development. The main ambition of RURITAGE is the creation of an innovative rural regeneration paradigm based on Cultural and Natural Heritage, consolidating the role of culture as the fourth pillar of sustainable development and contributing to economic growth, social inclusion and environmental sustainability in rural areas. By establishing a new heritage-led rural regeneration approach, RURITAGE aims to turn rural areas into sustainable development demonstration laboratories, through the enhancement of their unique heritage potential.

RURITAGE has identified 6 Systemic Innovation Areas (pilgrimages; sustainable local food production; migration; art and festivals; resilience; and integrated landscape management) which, integrated with cross-cutting themes, showcase heritage potential as a powerful engine for economic, social and environmental development of rural areas. The RURITAGE Resources Ecosystem, conceived as an open and online data platform, will ensure effective knowledge sharing and mutual learning by integrating the innovative tools developed within RURITAGE. All information and relevant tools will remain online available beyond the end of the project.

PROJECT WEBSITE

Contribution

Almende is mainly involved in the development of a decision support system for the six strategic innovation areas in the project, that recombine cultural and natural heritage promotion strategies of existing role models into new strategies for their own heritage.

Results

The project represents a new use case for decision support, which makes use of agent-based technology that has been used successfully in past projects, mainly in the areas of Health and Logistics. Through the application of decision support to this use case, Almende is able to extract generic principles that can be applied more broadly in future projects as well.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedIoTRobotics

COMP4DRONES

Framework of key enabling technologies for safe and autonomous drones’ applications

Duration: 9/2019 – 8/2022  Funding: ECSEL, H2020

Partners: Indra Sistemas SA, Austrian Institute of Technology, Forschung Burgenland, Weinbau Martin Moravitz, Interuniversitair Micro-Electronica Centrum, Brno University of Technology, University of West Bohemia, Honeywell, Andarta Robotics, Ecole Nationale de l’Aviation Civile (ENAC), Siemens, Eurogiciel, École nationale supÃĐrieure de mÃĐcanique et d’aÃĐrotechnique, Abinsula, University of Bologna, Università degli Studi del Sannio di Benevento, Università degli Studi di Sassari, University of Aquila, Tekne, Topview, University of Latvia – Institute of Electronics and Computer Science, University of Latvia – Institute of Mathematics and Computer Science, Anywi Technology, Stichting IMEC Nederland, Thales Nederland, Skyability, Technische Universiteit Eindhoven, ISEP – Instituto Superior de Engenharia do Porto, Acciona Construction, Acorde Technologies, Hemav Technology, HI Iberia, Ikerlan, Commissariat à l’ÃĐnergie atomique et aux ÃĐnergies alternatives, University of Cantabria, Aitek, SmartMotion, Atechsys Engineering, Airobot, Ubimet, Technische Universiteit Delft, DEMCON unmanned systems, Ud’Anet, Sherpa Engineering, Aitronik, LMT – Latvijas Mobilais Telefons, RO Technology, Modis Consulting, Infineon Technologies Austria, Masarykova University, Total, Altran Technologies

COMP4DRONES

Drones can perform air operations that manned aircrafts struggle with, and their use brings significant economic savings and environmental benefits while reducing the risk to human life. However, drone-based service and product innovation, as driven by increased levels of connectivity and automation, is limited by the growing dependence on poorly interoperable proprietary technologies and the risks posed to people, to other vehicles and to property. COMP4DRONES aims to create a holistically designed ecosystem ranging from application to electronic components, realized as a tightly integrated multi-vendor and compositional drone embedded architecture solution and a tool chain complementing the compositional architecture principles.

The ecosystem aims at supporting (1) efficient customization and incremental assurance of drone embedded platforms, (2) safe autonomous decision making concerning individual or cooperative missions, (3) trustworthy drone-to-drone and drone-to ground communications even in presence of malicious attackers and under the intrinsic platform constraints, and (4) agile and cost-effective compositional design and assurance of drone modules and systems. COMP4DRONES will also build an open sustainable ecosystem around public, royalty-free and goal-driven software platform standards that will ease the development of new drone functionalities for multiple application domains. Lead applications driving ecosystem development and benchmarking on the fields of transport, inspection, logistic, precision agriculture, parcel delivery.

PROJECT WEBSITE

Contribution

Almende will develop software that performs sensor fusion, and creates a multi-agent framework for safe path planning, as well as a real-time interference engine for path exploration. Finally, Almende will develop a visual analytics module designed for ground-based mission control.

Results

The results of the project are highly relevant for DoBots, a spin-off venture from Almende that focuses on autonomous robotic devices, and we expect that many of the software elements, specifically related to sensor fusion and agent-based planning, can be re-used for other applications and projects run by DoBots.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedSecurity

BRIDGE

Bridging resources and agencies in large-scale emergency management

Duration: 4/2011 – 4/2015  Funding: FP7

Partners: TU Delft, Fraunhofer, Lancaster University, Stockholm University, UniversitÃĪt Salzburg, UniversitÃĪt Klagenfurt, VersuchsStollen Hagenbach, Sintef, CNet, Thales, Rakos Helse vest, Saab, Crisis Training

BRIDGE

Natural disasters and accidents do not take into account municipal or national borders. In fact, in case of a large-scale incident, such as a terrorist attack or a major fire, different agencies from different regions or even countries have to work together. This is often very difficult, because of incompatible systems, organizational structures and protocols.

The BRIDGE project’s goal was to improve interoperability between different emergency response agencies and other relevant parties; between their (IT) systems, people and protocols.

First, the project partners researched the possibility of establishing resilient, ad-hoc communication networks which are able to collect all relevant information and disseminate it to all necessary parties. The resulting system improved context awareness by collecting information from sensors, surveillance cameras, communications by first responders, and bystanders

Second, middleware services allowed for interaction between all the aforementioned parties. A user interface was created that aggregates information from many different sources, to be used by people with different cultural and professional backgrounds and interests, resulting in a common operational picture (COP).

Finally, 3D models and scenarios of incidents were developed. These were tested as a training tool, and for incident management during a calamity.

Contribution

Almende used the expertise in emergency management it gained from previous projects such as ICIS and CIM. Primarily, Almende's role was using agent-based technology to solve communication and collaboration problems. A multi-agent system was developed to make sure that the right information is passed to the right agencies and that the relevant experts are involved. This way, a passive communication infrastructure is transformed into an active system that can initiate connections.

If, for instance, a ship would ram the docks of the Rotterdam harbor, a multi-agent system could immediately connect fire fighters to the harbor officials, so they could exchange relevant information. Also, the system could inform the fire fighters if the ship carried chemicals. If the cargo is unknown, it could establish contact between the fire fighters and the owner of the ship.

Software agents are thus mainly meant to perform rapid, repetitive tasks, such as quick communication or aggregation of data. Also, agents can represent interests of different parties, and thus quickly negotiate and collaborate. People are involved when difficult tasks must be executed or decisions made.

Results

The project presented another real-world example where multi-agent systems could be used to rapidly react to far-reaching events, connecting relevant actors and stakeholders automatically in a self-organizing fashion. The use of self-organization in such situations is natural, as it is usually impossible to plan exactly how events will unfold, making it better to react to new information quickly and decisively.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedIoTSecurity

Fireswarm

FireSwarm

Duration: 11/2011 – 3/2013  Funding: Agentschap NL

Partners: TU Delft, Universiteit Groningen, Eagle Vision, Devlab, Veiligheidsregio Noord-Holland Noord, Brandweer gemeente Bergen

Fireswarm

In the spring of 2011, several fires scourged the dune area in the province Noord-Holland. Such large fires in natural reserves are difficult to locate and monitor. Even when witnesses report smoke, the fire department has a difficult time accessing the area and finding the actual site. Personnel has to move into the area, which can be dangerous because of toxic smoke and fast-moving fire.

FireSwarm proposed to use robots to take over the dangerous task of detecting and monitoring large fires. FireSwarm developed and tested swarms of small, autonomous flying robots: Unmanned Aerial Vehicles, or UAV’s. UAV’s are already being used in several comparable application areas, but these projects use large, expensive drones. FireSwarm used smaller, cheaper drones, which has several advantages.

A large swarm of small drones can cover much more ground than a single UAV, and individual drones are expendable, both technically and financially. A swarm is also highly scalable: if the area to be covered is bigger, you can simply launch more drones. Finally, small drones are safer; they cause less harm if they crash.

Contribution

Almende was involved in the development of the control software which enabled the UAVs to function as a swarm, respond to each other's measurements and coordinate their actions to maximize effectiveness. Furthermore, Almende offered technical support during the test flights performed in the field as part of the demonstration activities done in the project.

Results

The project contributed to our knowledge of swarm behaviour and swarm mechanics when applied to the concrete use case of UAVs, which presented a number of interesting challenges. Since individual UAVs are considered expendable due to the potentially hazardous environmental conditions, the swarm as a whole must be robust and distribute responsibilities among all actors, so there is no single-point-of-failure. This enabled us to develop robust communication and control algorithms.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedSecurity

DEFRAUDify

Detect Fraudulent Activities in dark web and clear web to protect your business

Duration: 3/2020 – 3/2023  Funding: ITEA3

Partners: Bunq, Cointel, TU/e, Hoffmann, Target Holding, TNO, Web-IQ, Experis, Ezeris, HI Iberia, JOT Internet Media, Taiger, ATAR Labs, Hermes Iletisim, iSirius, MAY Siber Teknoloji, TÞrksat, VeriUs

DEFRAUDify

DEFRAUDify is an ITEA3-5 project with consortia in the Netherlands, Turkey, and Spain. DEFRAUDify aims to develop tools that help private businesses to detect fraudulent behaviour on the internet. These tools are partly based on existing tools that have been developed for Law Enforcement. They will be adapted to become relevant for private businesses as well. DEFRAUDify aims at businesses that encounter negative impacts of internet organised fraudulent behaviour. The tools will consist of a set of interoperable tools that jointly analyse suspicious behaviour and provide situational awareness.

The Dutch use cases are provided by Bunq and Hoffmann and have to do with monitoring and detecting unusual financial transactions, and performing a strategic risk assessment for companies. To this end, a toolset of different modules will be developed and tested in the provided test environments. The modules will focus on crawling, semantics, and contextualization technology, or a combination of these fields. The combination of these modules allows end-users to take a systematic approach to security and fraud prevention, leading to more efficient use of time and better interoperability of different methods.

PROJECT WEBSITE

Contribution

Almende will actively develop a crawling module using agent-based technology; this module can be used to actively probe potentially fraudulent or malicious users on the dark web or clear web, with the goal of improving the rate of detection. Such activities are currently performed in an ad-hoc fashion and require the time of specialized people trained for such a task.

Results

The project presents a novel application area for agent-based technologies and is interesting because it involves direct interaction with human actors, whereas in other projects such interaction was mainly facilitated through other software agents. By understanding and emulating human behaviour, we foresee a number of other applications in the fields of decision support and human-machine interaction.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0
CompletedSecurity

PRO-HEAL

Automated self-Protection and self-Healing software solutions

Duration: 1/2014 – 6/2016  Funding: ITEA2                                   

Partners: Devlab, TU Eindhoven, WareValley

PRO-HEAL

In 2001, IBM suggested the concept of Autonomic Computing that envisioned systems with the capability to perform changes autonomously, without or with minimal human intervention, during its execution. The main properties of autonomic systems, also called self-management systems, are: self-configuration, selfhealing, self-protection and self-optimisation. There is an increasing demand for these properties among many software systems deployed in dynamically changing environments, such as smart buildings, healthcare systems, disaster management, etc.

Such systems must be able to easily adapt at runtime in response to changes in their user preferences, requirements, computing infrastructure and surrounding physical environment. For this reason, these systems must be flexible, fault-tolerant, configurable and secure. Current software solutions are not adequate for developing self-management systems. Therefore, the aim of the PRO-HEAL project was to create and demonstrate methods and tools for producing / assessing self-managing systems on top of Internet of Things (IoT) networks.

PROJECT WEBSITE

Contribution

Almende took part in the project as a member of the Dutch DevLab, in which 12 technological Small and Medium Enterprises (SME's) were united. DevLab implemented innovative self-managing mechanisms inside the MyriaNed wireless sensor network in combination with the Crownstone mesh to develop a prototypical implementation of an elderly care application.

Results

The principle of software which can autonomously optimize itself to changes in its operating parameters or external factors is an interesting concept which has led to insights for our future software and algorithm development. Furthermore, the application areas of the project, specifically for elderly care, have inspired new projects in this area.

More info?

Need specific information regarding the project? Please contact our senior consultant for more information.

Jan Kraaijeveld

Senior consultant

+31 (0)10 404 9444

jan@almende.com

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Kevin Keijzer 29-04-2020 0