Partners

Xlab d.o.o (XLAB)

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XLAB Research is recognized as one of the strongest computer science research teams outside the academic world in Slovenia. It employs 35 people including 9 with a PhD and the vast majority with MSc or BSc degrees. XLAB research also runs a program for young researchers, which currently includes 3 PhD students from various fields (economics, machine learning, computer science, etc.). XLAB as a whole employs 62 people and closely collaborates with 34 external experts, providing the whole company with access to more than 100 experts in the fields of computer science, electronics and mathematics as well as design and marketing.

Relevant Expertise for the project:

XLAB’s primary expertise is in the field of distributed systems, followed by business and visualisation software. However, XLAB’s internal organisation allows for coordinated and unobstructed innovation on all Technology Readiness Levels (TRLs) and in accordance with the latest industry standards and protocols. The combination of the two is a key-factor for successful demonstration products, which are with minimal effort transferred into innovative products. We can thus augment our primary expertise with: Cloud computing, service-oriented architectures, security of distributed systems (cloud, multi-cloud and federated cloud in particular), SLAs (Security SLAs in particular) and HPC-related disruptive approaches. Given strong emphasis on distributed systems, we closely follow and research the IoT paradigm, especially in the area of SmartGrids and connected (BigData) analytics. Additionally we are working in the fields of computer vision and man-computer interaction (context-awareness, natural user interfaces, usability evaluation). The most relevant parts of XLAB’s expertise thus are distributed systems (Cloud, Grid, SOA technologies), which was developed and used within XLAB’s products ISLOnline, GAEA+, etc. Research in the distributed systems can be summarised with XLAB’s participation in flagship projects XtreemOS and Contrail, where in the latter security and integration were mostly XLAB’s responsibility. As for IoT, XLAB has produced an ICT system for the Toshiba owned company cyberGRID GmbH, managing their system from the sensory input to the UX. Finally, XLAB is currently an essential part of the eBADGE project and also a part of the FINESCE project.

Role in the project:

XLAB is actively researching in the field of cloud computing and IoT, therefore our main contributions are to WP1, WP2 and WP3.

  • WP1 – From our experience from other projects (XtreemOS, Contrail, SLA@SOI, MOSAIC) we have gained much experience about the architecture and use cases which we can bring in the project and extend them to fit the project set goals.
  • WP2 – With years of experience in development of cloud technologies we can significantly contribute to this WP. In the past projects we have developed plethora of solutions that can be easily adopted by this project. XLAB has experience from the field of Monitoring and Accounting of the resources. Our team is also strong in security solutions.
  • WP3 – We have been working on both – smart sensors to infrastructures connecting them into the cloud. XLAB also has the plethora of knowledge in networking (management of traffic, split networks, etc.). The knowhow we have in the field we can actively contribute to this WP.
  • WP4 – XLAB will provide help in management of Geographical Data (using the experience in GIS systems).
  • WP5 – Participation will be provided through expertise in HMI/HCI/UX fields and also through expertise in behavioural cloning, enabling self-learning of the system.
  • WP6 – XLAB will participate in business model definitions, using its SME-level business experience.
  • WP7 – XLAB will provide support in Cloud, Monitoring and HMI/UX fields. • WP8 – XLAB is involved as Exploitation partner

Jozef Stefan Institute (JSI)

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Founded in 1949, the Jozef Stefan Institute (JSI), Ljubljana, is the leading Slovenian institution for pure and applied research in natural sciences and technology. At present, it employs about 900 people and plays the role of a national institute, complementing the role of the universities and bridging the gap between academic research and industrial applications. The Computer Systems department (http://cs.ijs.si) at JSI conducts research in the fields of complex and dynamic optimisation algorithms, real-time and embedded computer systems, computer vision and pattern recognition, human-computer interaction, electronic design and test, and processor architectures.

Relevant Expertise for the project:

Research activities and experiences of the department related to the MANTIS project: multi-objective optimisation, dynamic-system optimisation, design of complex algorithms, pattern recognition, human-machine interaction.

Role in the project:

JSI will be involved in WP1, WP3, WP5 and WP7.

JSI will be the leader of the WP5.

WP1: In collaboration with other partners we will collaborate in specification definition in order to have insight into the problem, which we will actively solve in other WPs.

WP3: We have experiences with developing and working with smart sensors.

WP5: We have experiences on development and testing of Human-machine interfaces. We will lead this WP.

WP7: We will contribute so the scientific dissemination, with journal and conference papers.

AITIA International Inc. (AITIA)

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The precedessor of AITIA International Inc was established in 1995 and was reorganized into its current format on January 1st, 2005 to comply with the needs of the speedily varying market environment with a more modern and dynamic corporate structure. Its proprietors are Hungarian private individuals. The telecommunications division of AITIA focuses on research and development of network monitoring and analysis as well as value added network solutions – using self-developed, programmable hardware. AITIA is also involved in applied developments in agent systems (multi-agent systems, simulation and modeling), speech technology (speech recognition and speech synthesis systems), and content-management related applications.

Relevant Expertise for the project:

Over the years AITIA has been involved in 20+ successful research consortia both at the national and European levels. In addition to our cca 50 full-time employees we occupy thirty undergraduates and Ph.D. students via tenders and university cooperation. Our research executives have joint affiliations with academic institutions. AITIA holds several technology and businessrelated awards. In 2007 Deloitte Technology Fast 50 ranked AITIA as the 9th fastest growing CentralEuropean company; in 2008 AITIA was ranked 1st in the national listing. Our knowledge on data capture from distributed sources and central fault and performance analysis comes from the telecoms domain. The methods, algorithms, standards and best practices used in that domain can be applied when creating the reference architecture for MANTIS.

Role in the project:

Our group focuses on the central platform, especially on Root Cause Analysis and decision making algorithms, their implementation, and tailoring to MANTIS use cases. AITIA participates in planning and design of the reference architecture as well as the creation of interoperabilty guidelines. The main contribution of our group is related to the development of a data-driven Root Cause Analysis engine – including solutions for wear-out and trend analysis issues, as well as prediction of asset failures and alerting. The results will be validated through integration of the chosen use-cases. AITIA will participate in dissemination and exploitation activities as well.

Innovative Technology and Science Limited (INNOTEC)

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Innovative Technology & Science Ltd (InnoTecUK) is a dynamic and progressive UK based, Robotics and Automation solution provider with expertise in the field of Non-destructive Testing, Automation, Sensors and Instrumentation. InnoTecUK is focused on delivering client-led solutions to maximise life-cycle production asset values. Innovation of novel mechatronic systems to overcome complex sensing, measurement, control, automation, and inspection challenges is our intellectual passion. Our clients are diverse, encompassing aerospace, chemical, food processing, maritime, renewable energy, power generation, nuclear and oil and gas sectors. Consistently delivering value and technical excellence under harsh operating conditions is the key to our success. Bespoke solutions, tailored to client requirements, supported by advanced platform technologies are the essence of this. P

Relevant Expertise for the project:

Innotec have participated in several FP6 and FP7 projects related to the development of robotic automation solutions and developed several different type of robots for different environments such as marine, nuclear, petro-chemical, power generation. We have designed and supplied robots to deploy non-destructive test solutions for wind turbines both land based and offshore turbines.

Role in the project:

Innotec will participate in a use case devoted to wind turbines and augment use case 3.3. For existing wind farms that may not have a rich environment of smart sensor equipped wind turbines Innotec will deploy smart sensors to that environment and connect into the Mantis ICT framework to allow data gathering and pre-processing and data acquisition. Thus, main contributions will be in WP7 and WP3. INNOTEC will also contribute to WP1, WP2, WP4 and WP8

HBM Hottinger Baldwin Messtechnik GmbH (HBM)

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HBM is a global market leader in test& measurement as well in weighing technologies. The state-of-theart, innovative products set standards for precision throughout the world. The high-quality standards are well documented: In 1986, HBM was the first company in Germany to be awarded ISO9001 certification. In 1996, HBM’s environmental management system received ISO14001 certification. HBM operates 27 subsidiaries and sales offices in Europe, the Americas and Asia with approximately 1,500 employees. In addition, the company is represented in a further 40 countries worldwide. HBM is a wholly-owned subsidiary of Spectris plc, the precision instrumentation and controls company. The product portfolio of HBM encompasses sensors and transducers for force, mass, pressure, torque, displacement and strain.

Relevant Expertise for the project:

HBM Austria became a competence center for railway and has realized a number of R&D projects which led to successful industrial railway products. HBM has for example developed a system for the monitoring of railway vehicles during operation (ARGOSR ) regarding safety and cost efficiency. With help of this system the running characteristics and load status of the passing vehicles on the railway track are validated.

Role in the project:

The main task of HBM in this proposal will be the development of a new smart sensor based on fibre optical technology in WP3 to operate in harsh environments and generate real life data that serves as input for pattern analysis algorithms.

AIT Austrian Institute of Technology GmbH (AIT)

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AIT Austrian Institute of Technology is Austria’s largest non-academic research institution with about 1000 employees. The Department Safety & Security of AIT is a leader in the innovation of smart real time systems with IT-based intelligence. The central core competence is real time signal processing in embedded systems (hardware, software and system design) for safety and security applications. The Department is very experienced in participating as well as coordinating EU funded projects such as MOGENTES, CARE from the EC joint initiative Ambient Assisted Living and BASEXPO from the EUREKA programme.

Relevant Expertise for the project:

The department Safety & Security will contribute to MANTIS in providing real-time sensor and data analysis for decision support. The department has expertise in signal processing for sensor fusion for the monitoring industry processes safety and functionalities and in using the combinations of different sensors.

Role in the project:

The main task of AIT in this proposal is to develop the pattern analysis algorithms for a smart optical fiber sensor in WP3.

Consorzio Interuniversitario Nazionale per l’Informatica (CINI)

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CINI (Consorzio Interuniversitario Nazionale per l’Informatica) is the main reference for the national research in Computer Science and Information Technology. CINI is a consortium founded in the 1989 by nine universities with headquarters in Rome and under the supervision of the Ministry of University and Research. At present, 36 universities participate to the consortium. CINI is organised in local operating units and in national research areas covering all the different aspects of IT. At present, it includes 1,278 professors and researchers in Computer Science related areas. It is distributed across the entire country, the headquarters are in Rome. CINI promotes and coordinates: frontier and industrial research in Computer Science, technology transfer and scientific activities in collaboration with universities, research centres, and companies.

Relevant Expertise for the project:

CINI is a very active organisation at National and EU level. It participates to several national and international projects. At present, there are projects funded by several entities including: EU (ARTEMIS, FP6, and FP7), Italian Ministry of University, Italian Public Administrations, private companies, etc. It participates to the planning of national research activities (e.g., PNR 2011-2013) and to European research initiatives in ITC (e.g., the NESSI technology platform). It provides support to the associations of university professors and PhD schools. It collaborates with companies in applied research activities and technology transfer in the ICT area.

Role in the project:

Systems reliability is always difficult to estimate properly due to a number of factors that can affect the results of the predictive models used. Therefore, even if such models are important for a proper planning, they are not enough and they can be enhanced using up-to-date and continuous information flows that can be collected from the overall system at run-time. Such additional knowledge can be used to tune continuously ad-hoc models to enhance their prediction capabilities. Moreover, in a connected world, such information can also be shared with similar systems deployed in comparable environments to further improve the prediction abilities based on a larger set of data. However, the definition of reliable models cannot be done only on the base of theories, it require a continuous experimentation process to verify the effectiveness of the model in real conditions and a related tuning.

The contribution of CINI will focus on the data analysis of information flows coming from different sources to take proper decisions at different times (WP4):

  • At design time: use already available information from existing systems to create predictive models that can be adapted and used to support the development and/or the maintenance of a systems.
  • At run-time: use of on-line data collection and analysis techniques to make short-term and longterm predictions on the status of a working system to plan maintenance properly. Such models will be adaptive, they will be able to learn from the operating conditions of the single system under investigation and from other similar systems deployed in similar conditions. Moreover, CINI will contribute to the development of the reference framework (WP2) integrating the abilities described and supporting the definition of common application scenarios.

Ansaldo STS S.p.A. (ASTS)

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Ansaldo STS is a public company, listed on the Milan Stock Exchange, the Italian Stock Exchange, on STAR segment, with subscribed and paid in capital amounted to e90,000,000.00. Ansaldo STS is a leading company operating in the sector of high technology for railway and urban transport. The Company operates in the design, implementation and management of embedded safety critical systems and services for signalling and supervision of railway and urban traffic, as well as lead contractor. Ansaldo STS is headquartered in Genoa and has more than 4,100 employees in more than 30 countries. The 40% of the share capital is held by Finmeccanica shareholder. The company has an international geographical organisation present in: Central and Eastern Europe and the Middle East, Western Europe and North Africa, the Americas, Asia and the Pacific. The company operates worldwide as lead contractor, system integrator and supplier ”turnkey” of the most important projects of mass transportation in metro and urban railways. The various Legal Entities included in the company perimeter play activities in the fields of traffic management and control of trains, production of signalling systems and maintenance services, in the interests of efficiency and safety over time for both clients and for end users. Depending on the customer’s request or on the type of order, Ansaldo STS is able to operate in either the Railway or Urban Transport Systems market as either:

  • a provider of ”turnkey” solutions as a General Contractor (also managing the civil works required to implement the project) and Integrated Transport Systems with its Signalling products
  • or independently providing only the technological part and the Signalling products or the engineering expertise of the IT system engineer/technology integrator or, partially providing other subsystems.

Furthermore, in the market of Signalling, Ansaldo STS provides components and services, either sold with the signalling and control system or separately. In the market of Transportation Solutions Ansaldo STS provides operation and maintenance services for the Urban Transport Systems. Ansaldo STS designs and produces integrated transport systems, i.e. it studies. designs and plans the integration of the design and construction of the technological elements that make up the transport system, including equipment, signalling, power supply, telecommunications and rolling-stock (whether for railway or metro trains), as well as any other technical items that, together with the foregoing, constitute an integrated transport system. The end product, i.e. an integrated transport system, whether railway line or metro line, is then delivered to the principal on a turnkey basis. The Group is also able to offer signalling and transportation systems competencies separately according to the client’s needs. Ansaldo STS is one of the Founding Members of the Shift2Rail Joint Undertaking.

Relevant Expertise for the project:

Ansaldo STS has been involved in several Artemis JU projects aimed at increasing process efficiency. In particular it was involved in CESAR project (Cost-Efficient Methods and Processes for Safety Relevant Embedded Systems), MBAT (Combined Model-based Analysis and Testing of Embedded Systems) and CRYSTAL (Critical System Engineering Acceleration). All of them are addressed to develop test architectures and tools that Ansaldo STS applied to its safety related use cases achieving valuable impacts on its huge testing processes. MANTIS is an opportunity to improve our maintainability process basing on trustable assumptions in terms of hardware reliability

Role in the project:

In the scope of ASTS is the management and prevention of the fault via an HW design that assure an high time to the failure. One of the most relevant role will be played in addressing the use of a Reliability Test strategy, based on mathematical and theorical assumption, in order to validate the MTBF value (coming from predictive analysis) with a fixed confidence interval. In a few words, ASTS role will be contributing to develop new approaches about fault and validate them in a specific rail use case. On the basis of the role above defined, ASTS will contribute to define the Framework requirements providing inputs specific for the rail domain. The defined methodological approach will be first of all specialised in the rail environment and then a use case scenarios will be defined and implemented in a demonstrator in order to validate the developed methodology

ADIRA – Metal Forming Solutions S.A. (ADIRA)

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ADIRA designs, develops, manufactures and installs state-of-the-art machine tools for more than 55 years, being a leading manufacturer and global supplier of sheet metal working machinery, specialised in the production of laser cutting machines, hydraulic press brakes, shears, robotised bending cells and automatic sheet metal transforming systems. ADIRA also supply complete solutions for the sheet metal processing industry, including materials such as stainless steel, steel, aluminium, brass, etc. Presently ADIRA exports to more than 50 countries worldwide, having more than 75% of its turnover coming from outside its homeland. ADIRA has the biggest market share in Portugal. The key for ADIRA success in the market is its great flexibility in producing customised products and its bet in offering innovative and high quality products.

ADIRA is known for:

  • Permanent investment in scientific research and technological development to supply at all times the best solutions to customers
  • Cooperation with Universities and renowned Research Labs
  • Quality, precision and reliability of solutions
  • Maximum performance products
  • Readiness and effectiveness of the after-sales service.

The commitment of ADIRA to innovation and continuous improvement is a permanent challenge of all its departments, products and activities. Also safety, ergonomics, efficiency and design are permanently on the requirements list for all new machines. ADIRA Engineering Department is closely linked to Universities and Development Institutes (University of Porto, MIT, INEGI, INESC Porto and others) in a network of knowledge transfer, taking advantage of the most advanced developments.

Relevant Expertise for the project:

ADIRA has an experience of many years in designing, manufacturing, using and servicing machine tools. As a user but mainly as a manufacturer, maintenance plays an important role in machine tools business. ADIRA has, therefore, a strong and experienced service and engineering teams working together to provide state of the art solutions in what relates to maintenance. The knowledge of the machines produced and their possible behaviour is of major importance in the definition of the models for the predictive maintenance and for defining the traditional maintenance approaches. The knowledge acquired as a maintenance services provider will help in designing the tools to be developed. ADIRA has participated in several R&D projects. These projects have originated state of the art products in all ranges of ADIRA portfolio. The partnership with INESC Porto is very present and has been important to the development of new production and maintenance solutions. Within the PRODUTECH (Production Technologies Competitive Pole of Portugal) initiative ADIRA participates in several RTD activities, including the field of intelligent production systems and predictive maintenance.

Role in the project:

ADIRA will have an important role in the project requirements analysis and specification, within Task 1.2. Will follow closely the project developments within WP 3, 4 and 5. Will implement the changes and interfaces necessary to integrate the MANTIS tools with ADIRA’s selected equipment. Will participate also in the activities related with Business impact within WP6. In WP7 ADIRA will participate in the implementation and validation of MANTIS in its equipment. ADIRA will participate also in the project dissemination and exploitation activities.

INESC-Porto – Instituto de Engenharia de Sistemas e Computadores do Porto (INESC)

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INESC Porto is a private non-profit research institution, with around 400 researchers (180 PhD). Main activities are scientific research and technological development, technology transfer, consulting and advanced training programs in: Industrial and Manufacturing Engineering, Business Networking, Information Technologies, Energy, Telecommunications and Electronics, and Innovation Management. The Centre for Enterprise Systems Engineering (CESE) is composed of about 60 researchers (16 PhD) and includes activity areas related with Operations Management and Enterprise Information Systems, applied to industrial companies and enterprise cooperation networks. The main RTD areas are: Enterprise Cooperation Networks; Operations Management; Industrial Business Analytics; Advanced Planning Systems; Intelligent Logistic Systems and Interoperability. The Unit promotes applied research projects, in partnership with software houses and equipment suppliers, aiming at the development of innovative products in: decision support systems, production planning, scheduling and control, advanced automation and logistics, quality and maintenance management, knowledge management, and integration infrastructures. INESC Porto, coordinates INESC-TEC, which is a network of research centres with 800 researchers, recognised as Associated Laboratory by the science ministry. INESC Porto has a strong link with industry, resulting from a long collaboration in RTD and consulting projects. It is present in the board of the Manufuture European Technology Platform and EFFRA Research Association.

Relevant Expertise for the project:

INESC Porto brings to the project specific expertise in the design and development of decision support systems, business analytics, data mining and forecasting and its application in the predictive maintenance domain. INESC Porto has experience in the design and development of decision support systems, business intelligence and analytics systems as well as data mining and machine learning technology to various problems. In particular, some of the problems which are particularly relevant for the current project are in manufacturing, including production and equipment monitoring and optimisation (modelling equipment functioning for operation parameterisation and machine failure prediction) and tool monitoring and design (modelling tool wear and selection). Other application domains include retail (recommender systems, sales prediction, shelf space allocation), logistics (forecasting), ebusiness (recommender systems) and structural health monitoring (failure identification). In order to solve such a diverse set of problems, INESC TEC can tap into a large network of researchers that have expertise on a set of diversified sub-fields of the area. This means that many different techniques in machine learning and data mining have been employed and their choice depends specifically on the type of problem to be solved. The knowledge about the techniques is complemented with extensive experience in their application to real-world problems and the corresponding know-how in all the steps of the process (including business and data understanding, data preparation and model deployment). This knowledge is complemented with the ability to conduct academic research to develop new approaches when the existing ones are not suitable. This includes, among others, anomaly detection, optimal model selection, meta-learning, transfer learning, learning algorithms specifically designed for streaming data and big data analysis (parallel and distributed data processing).

Role in the project:

Within WP 4 – Analysis and decision making functionalities INESC Porto will participate in the design and development of specific data analysis and forecasting tools especially using techniques such as Data Mining e Machine learning and algorithms to select the best forecasting models for each operating condition. INESC Porto will coordinate the use case implementation at ADIRA with contributions in Tasks 1.2 and WP7. Will also participate in the dissemination and exploitation activities within WP8.