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Ruffaldi E.,Sant'Anna School of Advanced Studies | Kostavelis I.,CERTH | Giakoumis D.,CERTH | Tzovaras D.,CERTH
2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 | Year: 2016

Complex robotic architectures require a collaborative effort in design and adherence to the design in the implementation phse. ArchGentTool is a collaborative architecture generation tool which supports the design of the robotic architecture in a multi-level fashion. It comprises high-level conceptual analysis of the system to be designed, as well as low-level implementation breakdown of its functional components, acting complementary to the ROS framework. The tool facilitates reusability and expandability of the architecture to any robotic system, as it can be adapted to different specifications. A case study with the RAMCIP service robot is presented. © 2016 IEEE.

AEOLIX will improve the visibility of data throughout the supply chain, making the transport of goods across Europe more efficient and sustainable while reducing energy consumption by more than 30%. Paris, Madrid, 17 February 2017 - Atos, a global leader in digital transformation, is one of the partners of AEOLIX, a 13 million euro project co-funded by the European Union as part of the Horizon 2020 program, to develop a digital ecosystem for logistics operations. The project aims at making the management, planning and/or synchronization of goods transportation more efficient. AEOLIX, which involves 34 partners, began last September and will have an estimated duration of 3 years. Atos is leading on the design and implementation of the platform's technological architecture for the project. The Group will also share its expertise by providing advanced technological services, agile and robust solutions that guarantee interoperability, security, resiliency and real-time optimization that will also promote profitable, green and secure transportation. The new digital ecosystem will make freight transport in Europe more efficient and sustainable. In addition, improving the efficiency of processes will reduce energy consumption and, therefore, greenhouse gas emissions by at least 30% compared to current consumption. AEOLIX will be tested, validated and implemented in 11 "Living Labs", open innovation ecosystems representing the European logistics community. It will cover 9 "TEN-T" (Trans-European Transport Network) corridors - located in Austria, France, Germany, Greece, Italy, the Netherlands, Romania, Sweden, Spain, and the United Kingdom. Atos SE (Societas Europaea) is a leader in digital transformation with circa 100,000 employees in 72 countries and pro forma annual revenue of circa € 12 billion. Serving a global client base, the Group is the European leader in Big Data, Cybersecurity, Digital Workplace and provides Cloud services, Infrastructure & Data Management, Business & Platform solutions, as well as transactional services through Worldline, the European leader in the payment industry. With its cutting edge technologies, digital expertise and industry knowledge, the Group supports the digital transformation of its clients across different business sectors: Defense, Financial Services, Health, Manufacturing, Media, Utilities, Public sector, Retail, Telecommunications, and Transportation. The Group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and is listed on the Euronext Paris market. Atos operates under the brands Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, Unify and Worldline. AEOLIX project is co-financed by the European Union under the Horizon 2020 program and has a total budget of 13 million Euros. AEOLIX includes transport companies, service providers, terminal operators, public authorities, and is supported by the ICT, financial, legal and manufacturing industries. The consortium consists of 34 partners: ERTICO - ITS Europe (Coordinator), Kuehne Nagel, Unilever, Mondelez Int, IRU Projects, ATOS, PTV, T-Systems, Hamburg Port, Jan de Rijk Logistics, NTEX, COOP, GIVENTIS, Geoloc Systems, TEAMNET, ITERKS, CERTH / HIT, Chalmers, ICOOR, AustriaTech, CTAG, CEAGA, NOVACOM, CEREMA, Thessaloniki Chamber of Commerce, SEVE, TX Logistics, CONNEKT, Smart Freight Center, University of Northamptonshire, SAMER, FERNETTI and HOLM.

AEOLIX améliorera la visibilité des données dans l'ensemble de la chaîne logistique, rendant le transport de marchandises en Europe plus efficace et plus écoresponsable, tout en réduisant la consommation d'énergie de plus de 30 % Au sein d'AEOLIX, Atos est en charge du design et de la mise en place de l'architecture technologique de la plateforme. Le Groupe apportera également son expertise technologique de pointe ainsi que ses solutions agiles et robustes garantissant l'interopérabilité, la sécurité, la résilience et une optimisation en temps réel pour des transports plus rentables, écologiques et sécurisés. Ces mesures rendront le transport de fret en Europe plus efficace et plus durable, réduisant ainsi considérablement la consommation d'énergie. Au total, les émissions de gaz à effet de serre pourront être diminuées d'au moins 30% par rapport à la consommation actuelle. Atos SE (Société Européenne), est un leader de la transformation numérique avec environ 100 000 collaborateurs dans 72 pays et un chiffre d'affaires annuel pro forma de l'ordre 12 milliards d'euros. Fort d'une base de clients mondiale, Atos est le n°1 européen du Big Data, de la Cybersécurité et de l'environnement de travail connecté, et fournit des services Cloud, des solutions d'infrastructure et gestion de données, des applications et plateformes métiers, ainsi que des services transactionnels par l'intermédiaire de Worldline, le leader européen des services de paiement. Grâce à ses technologies de pointe et son expertise digitale & sectorielle, Atos accompagne la transformation numérique de ses clients dans les secteurs Défense, Services financiers, Santé, Industrie, Médias, Services aux collectivités, Secteur Public, Distribution, Télécoms, et Transports. Partenaire informatique mondial des Jeux Olympiques et Paralympiques, Atos est coté sur le marché Euronext Paris et exerce ses activités sous les marques Atos, Atos Consulting, Atos Worldgrid, Bull, Canopy, Unify et Worldline. Le projet AEOLIX est cofinancé par l'Union Européenne dans le cadre du programme Horizon 2020, et dispose d'un budget total de 13 millions d'euros. AEOLIX regroupe sociétés de transport, prestataires de services, opérateurs de terminaux et autorités publiques avec le soutien des secteurs numérique, financier, juridique et industriel. Le consortium se compose de 34 partenaires : Atos, ERTICO - ITS Europe (coordinateur), Kuehne Nagel, Unilever, Mondelez Int, IRU Projects, PTV, T-Systems, le Port de Hambourg, Jan de Rijk Logistics, NTEX, COOP, GIVENTIS, Geoloc Systems, TEAMNET, ITERKS, CERTH / HIT, Chalmers, ICOOR, AustriaTech, CTAG, CEAGA, NOVACOM, CEREMA, la Chambre de Commerce de Thessalonique, SEVE, TX Logistics, CONNEKT, Smart Freight Center, l'Université du Northamptonshire, SAMER, FERNETTI et HOLM.

News Article | February 24, 2017
Site: www.eurekalert.org

Mild cognitive impairment (MCI), a condition that often predates Alzheimer's disease (AD), can be remotely detected through a self-administered virtual reality brain training game. Thessaloniki, Greece, February 23, 2017 - Greek researchers demonstrated the potential of a self-administered virtual supermarket cognitive training game for remotely detecting mild cognitive impairment (MCI), without the need for an examiner, among a sample of older adults. MCI patients suffer from cognitive problems and often encounter difficulties in performing complex activities such as financial planning. They are at a high risk for progressing to dementia however early detection of MCI and suitable interventions can stabilize the patients' condition and prevent further decline. It has been shown that virtual reality game-based applications and especially virtual supermarkets can detect MCI. Past studies have utilized user performance in such applications along with data from standardized neuropsychological tests in order to detect MCI. The team that conducted this study was the first scientific team to achieve reliable MCI detection using a virtual reality game-based application on its own. In that previous study , administration of the virtual super market (VSM) exercise was conducted by an examiner. The present study eliminated the need for an examiner by calculating the average performance of older adults using a special version of the VSM application, the VSM Remote Assessment Routine (VSM-RAR), at home on their own, for a period of one month. It is the first instance where a self-administered virtual reality application was used to detect MCI with a high degree of reliability. The research team included scientists from the Aristotle University of Thessaloniki (AUTH), the Centre for Research and Technology Hellas/Information Technologies Institute (CERTH/ITI), the Greek Association of Alzheimer's Disease and Related Disorders (GAADRD) and the Network Aging Research (NAR) of the University of Heidelberg. In an article published in the Journal of Alzheimer's Disease, the researchers have indicated that the virtual supermarket remote assessment routine (VSM-RAR) application displayed a correct classification rate (CCR) of 91.8% improving VSM's CCR as assessed in the previous VSM study while achieving a level of diagnostic accuracy similar to the most accurate standardized neuropsychological tests, which are considered the gold standard for MCI detection. Self-administered computerized cognitive training exercises/games are gaining popularity among older adults as an easy and enjoyable means of maintaining cognitive health. Such applications are especially popular among older adults who consider themselves healthy and are not inclined to visit specialized memory clinics for cognitive assessment. If self-administered games and exercises could also detect cognitive disorders, initial cognitive screening could be conducted remotely. The wide implementation of this method of remote screening would facilitate the detection of cognitive impairment at the MCI stage thus allowing for more efficient therapeutic interventions. This preliminary study indicates that automated, remote MCI screening is feasible. This method could be utilized to screen the majority of the older adult population, as it dramatically lowers examination-related costs. The social and economic benefits, especially caregiver and healthcare service burden, of the early detection of cognitive disorders could be enormous. At the same time, as older adults are becoming increasingly computer savvy, it is important to create software that meets their needs and allows them to remain healthy and active. Out team continues its research on the VSM with the aim of improving its usability, shortening its administration time and supplementing the science behind VSM with additional data. The Journal of Alzheimer's Disease is an international multidisciplinary journal to facilitate progress in understanding the etiology, pathogenesis, epidemiology, genetics, behavior, treatment and psychology of Alzheimer's disease. The journal publishes research reports, reviews, short communications, book reviews, and letters-to-the-editor. Groundbreaking research that has appeared in the journal includes novel therapeutic targets, mechanisms of disease and clinical trial outcomes. The Journal of Alzheimer's Disease has an Impact Factor of 3.612 according to Thomson Reuters' 2013 Journal Citation Reports. It is ranked #22 on the Index Copernicus Top 100 Journal List. The Journal is published by IOS Press.

News Article | December 9, 2016
Site: globenewswire.com

MELBOURNE, Australia, Dec. 09, 2016 (GLOBE NEWSWIRE) -- Adherium Limited (ASX:ADR), a global leader in digital health technologies that address sub-optimal medication use in chronic disease, today announces that some of Europe’s most prestigious clinical opinion leaders have chosen Adherium’s Smartinhaler™ for the myAirCoach programme, part of the European Union’s Horizon 2020 Framework for Research and Innovation. The myAirCoach programme is being funded through the Horizon 2020 framework which is the largest EU Research and Innovation programme ever established with nearly €80 billion of funding available over 7 years (2014 to 2020). The purpose of the myAirCoach programme is to establish whether home monitoring and mobile health (mHealth) systems can be used to predict asthma control and the occurrence of asthma exacerbations. One of the main goals of the project is to help patients manage their health through user-friendly tools that will increase awareness of their clinical state as well as the adherence and effectiveness of the medical treatment they follow. The impact of the myAirCoach programme is expected to set the basis for the widespread adoption of sensor-based self-management systems across the spectrum of respiratory diseases. (Source: http://www.myaircoach.eu/myaircoach/content/what-myaircoach-project) Smartinhaler™ is already proven to reduce hospitalisation as demonstrated in the results of the year-long STAAR study, recently published online in the prestigious peer-reviewed medical journal Thorax [1]. The study revealed a significant reduction in hospital admissions over the course of 12 months as well as substantial other health and quality of life benefits for patients using Smartinhaler™. The data from the STAAR study builds on a study published in January 2015 in The Lancet Respiratory Medicine [2] which showed the use of the Smartinhaler™ platform increased adherence to preventative medication by 180% and reduced use of reliever medication by 45%. “Successful disease management and prevention is only truly achieved by understanding the real-world complexity of our lives. The best way to do that is through rich data collected in the real world. By providing our innovative solutions to people with asthma, we can help people take the right medicine, at the right dose, at the right time and in the right way,” said Garth Sutherland, Founder & Group CEO of Adherium. “The myAirCoach programme is a leading initiative assessing the impact that digital health solutions, such as Smartinhaler™, can have on patients in a real-world setting. It is a major international project, funded by the prestigious European Union Horizon 2020 framework.” Participating organisations in the myAirCoach project include: Imperial College London, University of Manchester and Leiden University Medical Center. The project is anticipated to run for the next 12 months. Dr. Omar Usmani, Reader in Respiratory Medicine & Consultant Physician, National Heart and Lung Institute, Imperial College London and Royal Brompton Hospital, said; “The myAirCoach programme will help asthma sufferers to manage their health through user-friendly tools that will increase awareness of their clinical state as well as their adherence and the effectiveness of medical treatment they follow.” Professor Fan Chung, Professor of Respiratory Medicine and Head of Experimental Studies Medicine, National Heart and Lung Institute, Imperial College London and Royal Brompton Hospital, commented; “People with asthma are more likely to miss school or work and experience reduced quality of life.  We are excited about the collaboration between Adherium and myAirCoach which is expected to set the basis for the widespread adoption of sensor-based self-management systems across the spectrum of respiratory diseases.” Adherium will be supplying a range of products to the programme via three key centres, including devices for inhaled medications manufactured by AstraZeneca and GSK: The project is coordinated by the Centre for Research and Technology Hellas (CERTH), Thessaloniki, Greece and is supported by a group of asthma patients acting as advisors.  Other participating organisations in the myAirCoach project include: University of Patras, Allertec Hellas SA, IHP Microelectronics, ZorgGemak (MedVision 360BV), European Federation of Asthma & Allergy Associations, Cnet Svenska AB, Circassia and Asthma UK. More information on myAirCoach can be found at the project’s website http://www.myaircoach.eu/myaircoach/ [1] Published online: Thorax doi:10.1136/thoraxjnl-2015-208171 [2] Chan AHY, Stewart AWS, Harrison J, Camargo C, Black PN, Mitchell EA. The effect of an inhaler with ringtones on asthma control and school attendance in children. Lancet Respir Med. 2015;3:210-219 Adherium (ASX:ADR) is an Australian Securities Exchange listed company which develops, manufactures and supplies digital health technologies which address sub-optimal medication use and improve health outcomes in chronic disease. Adherium operates globally from bases in the USA, Europe and Australasia. Adherium is a provider of digital health solutions to patients, pharmaceutical companies, healthcare providers and contract research organizations. The Company’s proprietary Smartinhaler™ platform has been independently proven to improve medication adherence and health outcomes for patients with chronic respiratory disease. Adherium has the broadest range of "smart" medication sensors for respiratory medications globally. The Smartinhaler™ platform has so far been used in more than 65 projects (clinical, device validation or other) and has been referenced in 56 peer reviewed journal articles. Clinical outcomes data has proven that the Smartinhaler™ platform can improve adherence by up to 59% in adults and 180% in children and reduce severe episodes by 60% in adults, leading to improved quality-of-life and demonstrating a substantial gain over current best practice treatment. The Company has received FDA 510(k) notifications for clearance to market and CE Marks for its devices and software, which allows it to sell these devices into international markets.

Sourlas V.,UCL | Georgatsos P.,CERTH | Flegkas P.,CERTH | Tassiulas L.,Yale
Proceedings - IEEE INFOCOM | Year: 2015

We place in the context of Information-Centric Networks a special class of segment-based caching, named partition-based caching, whereby information items are cached in partitions at different caches in the network. Our rationale lies in exploiting the merits of parallel data transmission, which however may come at the expense of increased network utilization. The study of this cost-benefit trade-off underlines our work. Following a theoretical analysis on the benefits of partition-based caching over single replication caching, we propose three traffic engineering algorithms for assigning content partitions to caches and respective routes. Simulation results indicate that partitionbased caching can indeed improve average content transfer time (up to 65%) at the expense of a tolerable increase in network load (up to 25%), for moderate numbers of content partitions (less than 6), balancing at the same time network load better (at the level of 50%), compared to single replication caching. © 2015 IEEE.

Aifadopoulou G.,CERTH | Morfoulaki M.,CERTH | Myrovali G.,CERTH | Pavlov D.,University of Ruse
Periodica Polytechnica Transportation Engineering | Year: 2014

The paper project emphasizes on pilot actions which will improve quality and governance schemes of transport services connecting major rail hubs in South East Europe: Bologna, Venice, Trieste, Ljubljana, Vienna, Bratislava, Budapest, Thessaloniki, Sofia, Zagreb, Bucharest (the hubs 11 involved in RAIL4SEE project). It presents comparative analyses of these transport hubs. The publication closes with key messages deriving from the whole analysis as regards the future needs of each hub and the necessary investments that can contribute to the development of a seamless passengers' intermodal public transport network rail based in South East Europe. © 2014 Periodica Polytechnica Transportation Engineering.

Papadopoulos S.,Imperial College London | Drosou A.,CERTH | Tzovaras D.,CERTH
Lecture Notes in Electrical Engineering | Year: 2016

Frequent Episode Mining (FEM) techniques play an important role in data mining, and have multiple applications, spanning from identifying user marketing habits to performing anomaly detection in computer networks. Most of the FEM approaches exhaustively search for frequent patterns, while using a threshold to efficiently reduce the search space. While this approach provides efficient results in small datasets, it fails in large datasets due to heavy processing, which leads to low performance. This paper, proposes a fast frequent episode mining method which utilizes Finite-State Machines (FSM). Initially, a FSM is created based on a subset of the data, in order to approximate the type and frequency of the most dominant episodes. Instead of applying traditional exhaustive search procedures, the parsing of the dataset is herein guided by the proposed FSM approach. Experimental results show that the proposed approach has better time performance than the traditional FEM algorithms, while still maintaining high accuracy. © Springer International Publishing Switzerland 2016.

Conci N.,University of Trento | Mezaris V.,CERTH | De Natale F.,University of Trento | Matton M.,VRT
CEUR Workshop Proceedings | Year: 2015

The objective of this paper is to provide an overview of the Synchronization of Multi-User Event Media (SEM) Task, which is part of the MediaEval Benchmark for Multimedia Evaluation. The SEM task was initially presented at MediaEval in 2014, with the goal of proposing a challenge in aligning multiple users' photo galleries related to the same event but with unreliable timestamps. Besides aligning the pictures on a common timeline, participants were also required to detect the sub-events and cluster the pictures accordingly. For 2015 we have decided to extend the task also to other types of media, thus including audio and video information for a more complete and diversified representation of the analyzed event.

Sourlas V.,University of Thessaly | Gkatzikis L.,University of Thessaly | Flegkas P.,CERTH | Tassiulas L.,University of Thessaly
IEEE Transactions on Network and Service Management | Year: 2013

The main promise of current research efforts in the area of Information-Centric Networking (ICN) architectures is to optimize the dissemination of information within transient communication relationships of endpoints. Efficient caching of information is key to delivering on this promise. In this paper, we look into achieving this promise from the angle of managed replication of information. Management decisions are made in order to efficiently place replicas of information in dedicated storage devices attached to nodes of the network. In contrast to traditional off-line external management systems we adopt a distributed autonomic management architecture where management intelligence is placed inside the network. Particularly, we present an autonomic cache management approach for ICNs, where distributed managers residing in cache-enabled nodes decide on which information items to cache. We propose four on-line intra-domain cache management algorithms with different level of autonomicity and compare them with respect to performance, complexity, execution time and message exchange overhead. Additionally, we derive a lower bound of the overall network traffic cost for a certain category of network topologies. Our extensive simulations, using realistic network topologies and synthetic workload generators, signify the importance of network wide knowledge and cooperation. © 2013 IEEE.

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