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UBITECH wins the TagItSmart Open Call for project extensions and additional modules introducing a private blockchain network for smart tags

UBITECH participated and submitted a proposal in the second TagItSmart Open Call for project extensions (new modules) and has been selected to realize TagItLedger (Tag Driven Supply Chain Ledger Service for Enhanced Product Transparency) that will bring in the TagItSmart (TIS) platform a private blockchain as a service functionality that addresses the supply chain global ecosystem’s inhibiting factors, ranging from multi source complexity to transparency, proof of responsibility and organizational borders limitations, due to the inherent design of the specific technology, linked to the specific participants of a supply chain and creating a private blockchain network between them, with the product acting as the blockchain asset.

In particular, the TagItLedger extension, integrated with the main elements of the TIS platform, through the realization of direct links with current TIS services (such as the inventories and access interfaces, streaming and notification services), blockchain functionality can be added as a mean to immutably document the state and status of a product (driven by its scan and respective values) in each supply chain stage, while maintaining a secure, global and consistent point of record for the given product id, including the full history of the product cycle. In this way, a trusted chain can occur, making assignment and acceptance of responsibility for the state of the product an unquestionable feature.

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UBITECH participates in the BigDataStack Research and Innovation Action on scalable and runtime adaptable infrastructure for big data operations and data-intensive applications

UBITECH is participating at the kick-off meeting, in Haifa and Tel Aviv, Israel (February 6-8, 2018), of the BigDataStack Research and Innovation Action, officially started on January 1st, 2018. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 779747) and spans on the period January 2018 – December 2020. The BigDataStack H2020- project aims to deliver a complete high-performant stack of technologies addressing the emerging needs of data-intensive operations and applications, which is based on a frontrunner infrastructure management system that drives decisions according to data aspects thus being fully scalable, runtime adaptable and performant for big data operations and data-intensive applications.

BigDataStack promotes automation and quality and ensures that the provided data are meaningful, of value and fit-for-purpose through its Data as a Service offering that addresses the complete data path with approaches for data cleaning, modelling, semantic interoperability, and distributed storage. BigDataStack introduces a pioneering technique for seamless analytics which analyses data in a holistic fashion across multiple data stores and locations, handling analytics on both data in flight and at rest. Complemented with an innovative CEP running in federated environments for real-time cross-stream processing, predictive algorithms and process mining, BigDataStack offers a complete suite for big data analytics.

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UBITECH presents ANASTACIA and PaaSword EC funded projects on digital security at the H2020 Project Clustering Event organized by ReCRED

UBITECH participates at the major H2020 project clustering event, organized by ReCRED, on January 31st, 2018 in Athens, wherein more than 20 EU funded projects participate, presenting their objectives and results and share their implementation experiences. Constituting an important dissemination event, it facilitates the discussion between partners, the knowledge exchange between different projects and enables also future synergies and collaborations showcasing the wide impact that these projects have not only to industry and service providers but also to EU citizens. Invited by the ReCRED consortium, UBITECH introduces the ANASTACIA and PaaSword H2020 projects.

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UBITECH kicks off the SecureIoT Research and Innovation Action on Internet of Things security and privacy

UBITECH is participating at the kick-off meeting, in Athens, Greece (January 29-30, 2018), of the SecureIoT Research and Innovation Action, officially started on January 1st, 2018. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 779899) and spans on the period January 2018 – December 2020. The SecureIoT project aims to secure the next generation of dynamic, decentralized IoT systems, which will span spanning multiple IoT platforms and networks of smart objects, through implementing a range of predictive IoT cybersecurity services.

SecureIoT will architect predictive security services in-line with leading edge reference architectures (Ras) for IoT applications (i.e. RAs of the Industrial Internet Consortium, the OpenFog Consortium and the Platform Industry 4.0), which will serve as a basis for specifying security building blocks at both the edge and the core of IoT systems. SecureIoT will provide concrete implementations of security data collection, security monitoring and predictive security mechanisms, which will be the basis for offering integrated services for risk assessment, compliance auditing against regulations and directives (e.g. GDPR, NIS, ePrivacy), as well as support to IoT developers based on programming annotations.

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UBITECH undertakes the technical integration lead of the FutureTPM Research and Innovation Action on Quantum-Resistant cryptography and Trusted Platform Module technologies

UBITECH is participating at the kick-off meeting, in Graz, Austria (January 23-24, 2018), of the FutureTPM Research and Innovation Action, officially started on January 1st, 2018. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 779391) and spans on the period January 2018 – December 2020. The FutureTPM project aims to deliver a Quantum-Resistant (QR) Trusted Platform Module (TPM) providing a new generation of TPM-based solutions, incorporating robust and physically secure Quantum-Resistant cryptographic primitives (formally verified), to ensure long-term security, privacy and operational assurance in the complex domain of future ICT systems and services.

The action’s goal is to enable a smooth transition from current TPM environments, based on traditional cryptography, to systems providing enhanced security through QR cryptographic functions, including secure authentication, encryption and signing functions, thus, turning the host device into a “hardened” security token that may also remain secure long-term against an enhanced threat landscape in quantum computing deployments. By designing an innovative portfolio of high-security QR algorithms for primitives like Key Management, Encryption, Signatures, Hash-Functions, Message Authentication Codes (MACs) and Direct Anonymous Attestation (DAA), FutureTPM will fill the perceived gaps in the current status of cybersecurity and generate a secure root of trust that can be used for e.g., interacting with cloud services, accessing corporate services and performing banking and eCommerce transactions.

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UBITECH participates in the ChildRescue Innovation Action on collective awareness for missing children investigation and rescue

Teaming with the European Federation for Missing and Sexually Exploited Children, the Hellenic Red Cross and the Smile of the Child, UBITECH is participating at the kick-off meeting, in Athens, Greece (January 18-19, 2018), of the ChildRescue CAPS Innovation Action, officially started on January 1st, 2018. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 780938) and spans on the period January 2018 – December 2020. The ChildRescue project aims to explore patterns of interaction and awareness during the missing children investigations, leveraging the untapped potential of open-social-linked data to augment the background information of missing children through multi-layer (personal, psychological, social and activity) profiling and predictive analytics, respecting and protecting privacy and personal data.

ChildRescue will provide evidence-based insights for the network effect’s impact to the missing children response organizations and allow them make informed decisions for each case. Based on location-based mobile notifications that spread using an intelligent system, citizens close to points a missing child was last seen or where a missing child is probable to be found become “social sensors” for the investigation, paying attention to people passing by, contributing and validating potential evidence.

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UBITECH undertakes the coordination of the ICARUS Innovation Action on aviation-based data value chain implementation for diversified global and local operations

UBITECH is hosting the kick-off meeting, in Athens, Greece (January 16-17, 2018) of the ICARUS Big Data Value PPP Innovation Action, officially started on January 1st, 2018– undertaking the consortium management and coordination of the research project’s activities. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 780792) and spans on the period January 2018 – December 2020. The ICARUS project aims to build a novel data value chain in the aviation-related sectors towards data-driven innovation and collaboration across currently diversified and fragmented industry players, acting as multiplier of the “combined” data value that can be accrued, shared and traded, and rejuvenating the existing, increasingly non-linear models / processes in aviation.

Using methods such as big data analytics, deep learning, semantic data enrichment, and blockchain powered data sharing, ICARUS will address critical barriers for the adoption of Big Data in the aviation industry (e.g. data fragmentation, data provenance, data licensing and ownership, data veracity), and will enable aviation-related big data scenarios for EU-based companies, organizations and scientists, through a multi-sided platform that will allow exploration, curation, integration and deep analysis of original, synthesized and derivative data characterized by different velocity, variety and volume in a trusted and fair manner.

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UBITECH explains how Big Data and AI technologies foster predictive maintenance in digital factories at the EuroPho21 end-users workshop

UBITECH has been invited to give a talk in the field of smart, predictive maintenance, Big Data analytics and Artificial Intelligence technologies at the “Photonics for the Digitalisation of Industrial Manufacturing” end-users workshop (held on December 8, 2017, in Athens), organized by the Greek Technology Platform in Photonics (PhotonicsGR) and the Hellenic Photonics cluster (HPhos) in the framework of the European CSA project EuroPho21. The event aimed to bring closer the photonics community and various industrial sectors for addressing main challenges and problems that face today towards the digitalization of their manufacturing processes. In that respect, the event focused on Laser material processing, Photonics Integrated Circuits (PICs) and other photonics technologies including specific use cases, while in parallel provided key messages for addressing horizontally other industrial sectors with products and services.

UBITECH has taken advantage of this opportunity, and, as a guest speaker, introduced to the audience the UPTIME unified framework and methodology for predictive maintenance strategy implementation, which incorporates real-time big data- driven streaming and processing technologies as well as machine learning algorithms in all steps of the unified predictive maintenance approach, i.e. the signal processing phase, the diagnosis and prognosis phase, the maintenance decision making phase, the maintenance implementation phase and the industrial operations management phase.

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UBITECH undertakes the lead of the Cypriot node of the RB-LOG EUROSTARS project on autonomous robots for smart logistics

UBITECH actively participates in the kick-off meeting, in Valencia, Spain (November 28, 2017) of the RB-LOG EUROSTARS project, officially started on November 1st, 2017 – undertaking the leadership and coordination of the project’s Cypriot node. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. E! 11553) and spans on the period November 2017 – April 2020. The RB-LOG project aims to develop a new, cost-effective, robotic indoor transport solution that will be specially suited for small residences, hotels, supermarkets/warehouses and other small semi-structured buildings and will automate the transport process and free workforce for tasks that entail higher added value. The aforementioned goal will be achieved through the development of a cost-effective fleet of robots governed by a flexible and easily adaptable to a diverse range of architectures and building operating models Fleet Management System performing autonomous indoor logistic transport at small buildings of semi structured human environments, including but not limited to hospitals, clinical sites, care centers, hotels, restaurants, company premises and retail shops.

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UBITECH undertakes the technical lead of the UPTIME Innovation Action on predictive maintenance in digital factories

UBITECH actively participates in the kick-off meeting, in Brussels, Belgium (September 27-28, 2017) of the UPTIME H2020 Innovation Action, officially started on September 1st, 2017 – undertaking the technical leadership of the research project’s activities. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 768634) and spans on the period September 2017 – August 2020. The UPTIME project aims to reframe predictive maintenance strategy in a systematic and unified way so as to fully exploit the advancements in ICT and maintenance management by examining the potential of big data in an e-maintenance infrastructure, to deliver novel e-maintenance services and tools to support the daily work of maintenance engineers as well as the overall maintenance management with the aim to optimize in-service efficiency, and to analyse and widely exploit results generated from the use of UPTIME solution in order to show its benefits to manufacturing companies for maintenance utility maximization along with industrial operations management improvement.

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