The goal of ESCORT is to bring prominent advances in IoT, Wearables, Artificial Intelligence (AI), and Machine Learning (ML) to facilitate enhanced patient treatment services for the enrichment of patient experience and European health and care service resilience. The proposed innovations to be carried out in the project will assist in the development of ethics-by-design policy intervention based on the evidence collected and analysed from the pilot studies. Spanning across 36 months, the ESCORT project brings together the experiences of leading healthcare service providers from five (5) European (Greece, Italy, Belgium, Sweden, Ireland) and one (1) associated member (Israel) states specialising in emergency medicine and offering regular health and care service providers across six (6) countries. The development of digital services will be designed in consultation with the stakeholders including patients, patient advocacy groups, health and care service professionals, health and care providers. The development of technology will be supported by research experts, complementing the expertise of SMEs. The origins of ESCORT conceptualisation can be traced back to the supplier network creation within NO-FEAR (CSA) project in which validation of individual tools catering the demands of urgent and emergency medicine has been carried out. Building on the success of the NO-FEAR project, the workplan of ESCORT has been designed to enable integration of core technologies to develop digital services addressing patient needs and requirements. To achieve this project, the ESCORT consortium has identified three (3) scenarios which represents the pre-, and post- clinical patient care and the needs of victims requiring support for urgent and emergency medical care. All the scenarios will be validated across six (6) countries.
Logistics industry is facing continuous and significant challenges during the recent years. The trend is the adoption of intelligent services for increasing the performance of the provided systems and synchromodal operations. Transfers and deliveries can benefit from the use of novel business models that adopt the aforementioned intelligent services when the optimization of the use of shared resources is the core target and become the basis for the provision of a climate friendly infrastructure. The goal of synchromodal operations and the integration of heterogeneous logistics services is the reduction of current transfers in order to reduce the carbon footprint while securing the uninterrupted deliveries and the resilience to any disruptive event. TRACE targets to the aforementioned integration activities offering a universal platform with functionalities related to planning, scheduling, optimization and events management as well as the use of blockchain technology to facilitate the real time conclusion of smart contracts and financial operations, thus, becoming one of the first attempts to provide an ‘intelligent cover’ upon the current logistics frameworks. TRACE envisions real demonstrators in different European countries with different goals that start from transportations with the use of shared resources, the disruptive events detection and re-scheduling of transfers while concluding with the use of unmanned vehicles to automate the last mile deliveries. TRACE also proposes new transfer corridors, safe areas where unmanned vehicles can collect items towards the final destination and new (virtual) hubs. TRACE will perform studies related to the barriers towards the new logistics era, the new business opportunities, the requirements for the legislation and regulatory frameworks and expose the benefits of the proposed approach in terms of the reduction for energy demand and emissions while limiting the operational costs for logistics stakeholders.
The project innovation and the overall approach adopted for the development of a scientific platform catering to the needs and demands of interdisciplinary stakeholders in the management of wildfires. The multi-stakeholder project platform is conceived to deliver the high-impact intervention in addressing the challenges out-lined in Phases A (Prevention and preparedness), B (Detection and Response) and C (Restoration and adaptation) when mitigating wildfires. The challenge of continuously monitoring the forest infrastructure is achieved with the use of sensors (static environmental sensors and mobile sensors being deployed in response to incident reports). The information collected from such distributed sensor systems are then subsequently processed at both cloud plat-form and/or near-edge solutions. While Phase A and Phase C data collection, assessment and monitoring will take place in the cloud, the need for (near-) real-time analysis on the behaviour and spread of wildfire will be continually analysed at the near-edge computational infrastructure. The complexity of inherent data modelling and ingestion of complex stream of continuous and sparse data collected from various sources of end-devices will be processed within the platform.
PLATON consists of an online platform and mobile applications (iOS and Android) that will connect to the same database to manage data related to patients receiving medication for cancer treatment. Additionally, an Augmented Reality System aims at the effective training of nursing staff and surgeons in placement and use of port-a-cath devices. Overall, the proposed system will offer digital capabilities in the following areas: (a) Creating a personalized profile (health card) for each patient, (b) A recording subsystem with capabilities: recording drugs, patient condition management, Port-a-cath catheter system status, (c) training through augmented reality of the nursing staff and surgeons for port-a-cath devices placement to avoid mistakes that will have negatives effects on patients, (d) information security management subsystem to allow access to only authorized users and ensure the privacy personal data.
ELLIOT comes into the scene to enhance the SHAPES platform by providing specialized modules for collecting data concerning the nutrition habits of individuals and supporting a recommendation mechanism for good practices towards securing a good health level. ELLIOT proposes the use of a nutrition assistant without relying on any complex sensory infrastructure. Individuals can utilize their smart phones and tablets and through the use of food images and deep learning, they can collect nutritional data transferred to the SHAPES platform for further processing. A first step of processing is performed locally at the devices and a decision support system accompanied by a dedicated knowledge base proceeds with the appropriate suggestions and nutritional planning. Every meal is recognized and classified into the appropriate type and its ingredients are extracted leading to the conclusion of nutrients and the amount of food that individuals consume. This information is valuable for detecting potential health problems and firing mitigation actions. ELLIOT is smoothly integrated with the SHAPES platform adopting all the necessary standards and semantic technologies to easily transfer the collected data to the back end infrastructure.
The project targets to the creation of a Web application for the strengthening of the documentary-research base for the cultural material of the network of museum of the Karditsa prefecture. The parts of the project are: a) field research in places related to events of the 1821 period in the Karditsa area with the purpose of the photographic documentation-cartographic recording, b) indexing of selected digitized newspapers and based on the research that has been carried out, c) digital processing of an oral testimony, d) creation of a website, e) 3D digitization of selected exhibits, f) design of an immersive environment for visitors using Augmented Reality, g) the final consultation with the Municipality of Karditsa, so that the application is hosted in the infrastructure of the unified Government Cloud (g-Cloud).
Programme: ΔΡΑΣΗ ΕΘΝΙΚΗΣ ΕΜΒΕΛΕΙΑΣ: «ΕΡΕΥΝΩ-ΔΗΜΙΟΥΡΓΩ-ΚΑΙΝΟΤΟΜΩ Β’ ΚΥΚΛΟΣ»
Region: Greece
Acronym: SaveWoodenBoats
The project partnership (Project code: Τ2ΕΔΚ-04083) aims to rescue and maintain the maximum possible number of elements of the "ELENI P.", one of the largest surviving “Perama” boats, to prepare a complete study of the construction of a true copy of Eleni P., which will incorporate the maximum possible number of items that have been saved and conserved, create a digital copy of the restored vessel and prepare an exploitation and sustainability study of the physical/digital copy of the vessel. The above objectives will be achieved by the 2D/3D Design and Digital 3D Preserved Parts of the Ship, with targeted and specialized Diagnostic and Maintenance Works at the Shipyard, with Wood Recognition and Maintenance Works by recognized Greek scientists, Design and Designing Works by Specialized Architects as well as Documentation and Demonstration Works with the contribution of Executives from the Museum of Hydra and Central DNPK Service of the Ministry of Culture.
Programme: ΔΡΑΣΗ ΕΘΝΙΚΗΣ ΕΜΒΕΛΕΙΑΣ: «ΕΡΕΥΝΩ-ΔΗΜΙΟΥΡΓΩ-ΚΑΙΝΟΤΟΜΩ Β’ ΚΥΚΛΟΣ»
Region: Greece
Acronym: SaveWoodenBoats
Funded by the Municipality of Lamia
The project targets to the intelligent management of waste bins/trucks of the Lamia Municipality and the efficient delivery of the appropriate collection routes in the city. Our components deal with the provision of an easy to use Web interface and a set of collection routes towards the minimization of the cost for the municipality. The city is separated into a number of zones and for each zone we provide algorithms for minimizing the number of routes and the collection cost. Additionally, the responsible persons of the municipality can select algorithms that permit the 'mix' of collection trucks or dedicated missions according to the needs.
ENFORCE provides solutions for the virtualization of Set-top Boxes (STBs - vSTBs) and iTV services chains (if absent in SoftFIRE). ENFORCE covers the programmability aspect of the SoftFIRE platform that will reveal the combination of Software Defined Networks (SDN) and Network Functions Virtualization (NFV) to directly govern and orchestrate network resources to create virtual infrastructures. For iTV services, ENFORCE will also offer a benchmarking tool that will reveal the strengths / weaknesses of the SoftFIRE solution. ENFORCE will evaluate the monitoring mechanism and the SoftFIRE platform on top of multiple test scenarios where the demand for iTV services and their performance will vary.
INNOVATE aims to offer the efficient management and knowledge extraction over large-scale data streams in various application domains incl. telecommunications, risk analysis, and health analytics. INNOVATE is expected to design/introduce/build intelligent applications that will provide analytics in (near) real time, thus, supporting bio-medical, geo-distributed applications over large-scale data streams. The developed methodology will establish the basis for timely, high quality services that will increase end users’ satisfaction and improve quality of living.