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UBITECH exhibits the MAESTRO distributed apps composition and cloud services orchestration platform at DockerCon 2019

Sponsoring the 3-day technology conference DockerCon 2019(https://www.docker.com/dockercon/) that takes place from April 29 – May 2 at Moscone West in San Francisco, UBITECH has a dedicated exhibition booth at the Ecosystem Expo of the conference, for presenting and demonstrating the sophisticated MAESTRO platform that enables distributed applications composition and cloud services orchestration. The MAESTRO platform (themaestro.net) is an advanced developer framework for cloud orchestration and infrastructure automation, that gives you the power to design, deploy, and manage cloud-native containerized components in both public and private cloud environments. Built with IaaS (Infrastructure-as-a-Service) abstraction, the MAESTRO platform lets you create easy-to-manage, easy-to-scale workflows with Docker Compose applications. It comes with advanced off-the-shelf features to support extensive monitoring, security enforcement, elasticity management, and operational analytics.

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New manuscript on medical devices data interoperability has been accepted for publication at the Sensors MDPI Journal

Following a peer-review process, Sensors MDPI Journal has accepted to publish a scientific manuscript, co-authored by UBITECH’s Konstantinos Perakis and Stamatis Pitsios, entitled “IoT in Healthcare: Achieving Interoperability of High-Quality Data Acquired by IoT Medical Devices”. Konstantinos Perakis, Stamatis Pitsios and their co-editors from UPRC present a mechanism for effectively implementing a holistic approach for successfully achieving data interoperability between high-quality data that derive from heterogeneous devices. Through this mechanism, initially, the collection of the different devices’ datasets occurs, followed by the cleaning of them. In sequel, the produced cleaning results are used in order to capture the levels of the overall data quality of each dataset, in combination with the measurements of the availability of each device that produced each dataset, and the reliability of it. Consequently, only the high-quality data is kept and translated into a common format, being able to be used for further utilization. The proposed mechanism is evaluated through a specific scenario, producing reliable results, achieving data interoperability of 100% accuracy, and data quality of more than 90% accuracy.

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Diamond Sponsor of the Hellenic Cyber Security Team participating at the European Cyber Security Challenge 2019

UBITECH proudly supports (for the third year in a row) the Hellenic Cyber Security Team‘s efforts at the European Cyber Security Challenge (ECSC), organized by ENISA, between October 9 to October 11, in Bucharest, Romania. The 2019 ECSC challenge is aimed at identifying new talent – by having national teams compete in a Cyber Security Challenge. In particular, the top cyber talents from each country meet to network and collaborate and finally compete against each other to determine which country has the best cyber talents. To find out which country’s team is the best, contestants have to solve security related tasks from domains such as web security, mobile security, crypto puzzles, reverse engineering and forensics and collect points for solving them. The Greek team that will compete in the 2019 ECSC challenge grand finals is assembled after a qualification round, held on April 17-18, 2019, which determined the top 10 cyber security talents in Greece (aged between 14-25). The team will compete in the Challenge 2019 finals, in Bucharest, Romania.

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UBITECH presents a scientific paper on clinical and genetic data anonymization at CERC 2019 in Darmstadt, Germany

A scientific paper entitled “Anonymizing Clinical and Genetic Data of Patients with Minimum Information Loss” has been authored by UBITECH and is presented at the 5th Collaborative European Research Conference (CERC 2019), hosted between March 29-30, 2019 in Darmstadt, Germany. In this paper, Dimitris Ntalaperas and Thanassis Bouras propose an approach for data anonymization to foster data exchange, which is based on disclosing a row based anonymized version of the original data set. The methodology is more versatile (than traditional data cubes -oriented approaches), while it also preserves the statistical characteristics of the original data set. We demonstrate this by considering an SVM predictor that tries to estimate the value of Breslow’s depth, based on the values of another clinical variable, namely Clark’s level, and the expression count of a skin cancer related gene (CDKN2A). The predictions are shown to have the same characteristics for both the original and the anonymized data sets.

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UBITECH presented ANASTACIA EC funded project at the H2020 Project Clustering Event organized by GHOST

UBITECH participated at the major H2020 project clustering event, organized by GHOST Project, on March 28, 2019 in Athens, wherein 25 EU funded projects participated and presented their objectives and results and share their implementation experiences. Very interesting round table sessions allowed the discussion between partners from different projects, and enacted future synergies and collaborations. Invited by the GHOST consortium, Konstantinos Theodosiou from UBITECH presented ANASTACIA H2020 project concept, objectives and achievements.

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UBITECH demonstrates UPTIME predictive maintenance technologies in GLOBAL INDUSTRIE

UBITECH showcases UPTIME results and their applicability in industrial use cases in the SMART INDUSTRIES track of the GLOBAL INDUSTRIE show, taken place in Lyon, France, from 5-8 March, 2019. GLOBAL INDUSTRIE brings together at EUREXPO, a) the entire industrial ecosystem, from start up to major customer, including subcontractors, equipment manufacturers and industrial solution providers, competitiveness clusters, research centers and incubators; b) the whole added value chain: R&D, design, production, maintenance, services, training; c) all the user industries: Transport and mobility, Energy and infrastructure, Food industry, Consumer goods, Chemicals, Cosmetics and Pharmaceuticals and Mechanical engineering. Welcomed by 96% of visitors and 88% of exhibitors at its launch, unparalleled in its extent, both in terms of its size and its scope, as well as its international reach, this event brings together four complementary shows, each of which is a leader in its field, whilst preserving their individual identities: MIDEST (international reference for subcontracting know-how), SMART Industries (for or the connected, collaborative and efficient smart factory), INDUSTRIE (for production technologies and equipment) and TOLEXPO (for working metal in sheets, coils, tubes and sections).

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UBITECH, proud Copper Sponsor at DockerCon 2019, the premier enterprise container technology event

UBITECH has locked one of the limited sponsorship packages for DockerCon 2019, and has been announced as a Copper Sponsor of this premier enterprise container technology event that will take this year in San Francisco, from April 29 – May 2. DockerCon is the leading container industry conference where Enterprise IT customers and the broader container technology community comes together to learn, share and connect. The 3-day conference brings together the thriving community of Docker users and customers looking to level up their skills and invest in the possibilities of containerization and their business impact. The conference provides keynotes, breakout and networking sessions by top customers, hands-on workshops, an expo of Docker ecosystem partners and innovators, and a hallway track experience to share and learn directly with your peers.

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UBITECH demonstrates the MAESTRO 5G Applications Orchestrator in the Mobile World Congress 2019

UBITECH is demonstrating the MAESTRO 5G Applications Orchestrator in the Mobile World Congress (MWC) 2019 in Barcelona, through its participation in the Mobile World Capital stand at CS40. MWC Barcelona is the largest mobile event in the world, bringing together the latest innovations and leading-edge technology from more than 2,400 leading companies, with a highly-rated conference programme assembling today’s visionaries to explore the hottest topics influencing the industry. In the provided demo, a set of innovative features developed within the framework of the MATILDA 5G PPP project are demonstrated based on a Public Protection and Disaster Relief (PPDR) application.

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ENTROPY H2020 Research and Innovation Action on energy-efficient lifestyles reached its goal

The ENTROPY H2020-649849 project is now completed, having, today, a successful final review in Brussels, Belgium. Within ENTROPY, UBITECH led the implementation of an innovative, IoT-enabled platform that can monitor and receive sensor data pertinent to energy efficiency from different sources, incorporating a gamified personalized application, as well as a serious game, that educate the end-users to change their energy consumption behavior at the workplace by offering to them recommendation tips for energy saving. The ENTROPY platform orchestrates the pilot user campaigns and submits the recommendation tips to the two applications.

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UBITECH undertakes the technical coordination of the CYBELE Innovation Action on HPC-enabled, scalable Big Data analytics for precision agriculture and livestock farming

UBITECH participates in the kick-off meeting, in Barcelona, Spain (January 28-30, 2019) of the CYBELE Innovation Action, officially started on January  1st, 2019. The project is funded by European Commission under Horizon 2020 Programme (Grant Agreement No. 825355) and spans on the period January 2019 – December 2021. CYBELE aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing and the IoT can revolutionize farming, reduce scarcity and increase food supply, bringing social, economic, and environmental benefits. CYBELE intends to safeguard that stakeholders have integrated, unmediated access to a vast amount of large scale datasets of diverse types from a variety of sources, and they are capable of generating value and extracting insights, by providing secure and unmediated access to large-scale HPC infrastructures supporting data discovery, processing, combination and visualization services, solving challenges modelled as mathematical algorithms requiring high computing power.

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