UBITECH participates in the kick-off meeting, in Limassol, Cyprus of the PERSEPHONE Cypriot research project, officially started on May 21st, 2019. The project is co-funded by the “Research in Enterprises” action of the multi-annual development framework of Programmes RESTART 2016-2020 for the support of Research, Technological Development and Innovation in Cyprus (Grant Agreement No. ENTERPRISES/0916/0063) and spans on the period May 2019 – May 2021. The PERSEPHONE project aims to design and deploy an innovative IT ecosystem for motivating end-users’ behavioural changes towards the adoption of energy efficient lifestyles, building upon the evolvements in the Internet of Things, Data Modelling and Analysis and Recommendation and Gamification eras.
Author: ubitech
UBITECH presents a scientific paper on personalised monitoring and recommendation services for at risk individuals at IEEE EMB BHI 2019 in Chicago, IL, USA
A scientific paper entitled “Personalised Monitoring and Recommendation Services for At-Risk Individuals Employing Machine-Learning and Decision Support” has been co-authored by UBITECH and is presented at the IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), the flagship conference of IEEE Engineering in Medicine and Biology Society (IEEE-EMBS) on the topics of informatics and computing in healthcare and life sciences, hosted between May 19-22, 2019 in Chicago, IL, USA. In this paper, Perakis Konstantinos, Pitsios Stamatis, Miltiadou Dimitrios, and their co-authors propose a technological solution, facilitating the provision of personalised health related services exploiting Big Data analytics, aiming to improve the everyday living and enhance the wellbeing of vulnerable individuals such as chronic disease patients, focusing mainly on patients suffering from COPD and/or CVD.
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.
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.
Release of the final version of the Fault Detection and Predictive Maintenance Application
UBITECH proudly announces the delivery of the final and significantly enhanced version of the Fault Detection and Predictive Maintenance Application developed for FOINIKAS shipping company in the context of the BigDataOcean project. Through the Fault Detection and Predictive Maintenance Application, FOINIKAS is able to design and implement better and more efficient maintenance strategies based upon the concept of CBM with a two-fold purpose: a) to ensure the preservation of the level of availability and reliability of the vessel ship’s components and b) to safeguard the desired level of performance and quality of the ship’s components.
The added value of the Fault Detection and Predictive Maintenance Application includes: i) the design and implementation of better and more efficient maintenance strategies exploiting and applying descriptive, predictive, and prescriptive analytics, which in turn will lead to the reduction of efforts spent due to unplanned repairs and to the reduction of vessels’ immobilizations; and ii) the design of a smart and more efficient risk maintenance management strategy including the design of an optimized inventory management based upon more accurate equipment fault detection, and optimized proactive equipment maintenance very close to the actual time-to-life of the equipment.
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.
Release of the final version of the Fuel Consumption Reduction Investigation Application
UBITECH proudly announces the delivery of the final and significantly enhanced version of the Fuel Consumption Reduction Investigation Application it developed for ANEK shipping company in the context of the BigDataOcean project. Through the Fuel Consumption Reduction Investigation Application, ANEK is able to a) correlate the significant amount of historical data related with the draft of the vessel (directly influenced by the initial loads of fuel, diesel, water and lubricants as well as by the cargo (humans, cars and trucks loaded), with more accurate historical weather data currently not made available in the databases of the company, but retrieved from open sources, in order to identify the correlations between those parameters; and b) exploit the more accurate near-real-time short term weather predictions made available, in order to estimate the impact that the operational decisions taken (vessel speed in knots) will have on the fuel consumption of the vessel.
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.
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.
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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