smarTravel Platform

Objective of Project Idea:
The smarTravel Platform project is an integrated smart tourism platform that aims to provide an end-to-end travel experience for travelers. In order to provide the travel experience in a safe, healthy and most effective way, a platform where all stakeholders will participate and interactions will take place is aimed. It is planned to work with technologies such as artificial intelligence, machine learning, Big data, NLP, data mining, deep learning, blockchain, internet of things, microservices. There are different user modules; recommendation system, hotel and customer reputation, chatbot assistant, optimum route & time planning and similar scenarios will be some of these.[...]
Name: Cenk Yusuf Ustabaş

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Proposal key words:B10 Smart City related services and applicationsE1 Smart Cities (incl. smart grids, water management, etc.)

Smart City Microgrid Management Platform

Objective of Project Idea:
Digital AI&IoT technology infrastructure upgrades and adaptations are accelerating in cities to address connected cities, buildings, storage battery technologies, renewable to grid integration, electric vehicles and all. Cities are looking for the most rational technological solution options to implement smart infrastructures and systems. Our project idea is for an AI and IoT based smart city energy management platform to be developed where the optimization will be studied both for the aspects of ICT and energy, addressing Celtic-Next and Eurogia. Optimum communication technologies, digitalized energy solutions, infrastructure, and user interactions will be studied, tested. The collaborative applicable innovative solutions will be[...]
Name: Dilara Goker

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Proposal key words:B10 Smart City related services and applicationsB8 IoT related servicesE9 Smart Energy (incl. energy efficiency)

Optimal emission-free local public transport

Objective of Project Idea:
In order to achieve environmental friendly public transport, the way to go at the time are electric busses. Many obstacles must be tackled before the operations can be switched to those alternative drives. We combine research approaches from classic traffic research with advanced machine learning techniques to achieve optimal transport networks for electric busses. We invite any public tranport provider interested in switching to emsission-free operations to take part in our research pursuit.
Name: Samuel Würtz

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Proposal key words:B21 Societal ImprovementC8 Artificial IntelligenceE4 Personal Mobility / Transport / Logistics / Food

Intelligent & Connected Offshore Wind Farm Maintenance Planning Framework (iConnect-OWF)

Objective of Project Idea:
Offshore wind farms (OWFs) are complex dynamic systems that depend on atmospheric conditions for energy generation and system operation & maintenance (O&M). In order to undertake effective O&M actions it is necessary to determine weather windows that enable accessibility to the farm. In this context, an updated health estimation of wind turbines is crucial to reduce costs and increase reliability. However, the OWF energy production is surrounded by uncertainties, such as wind speed, sea conditions, as well as the degradation process and interactions between electrical and mechanical components. Hence, remote and online condition monitoring and runtime maintenance planning are vital[...]
Name: Jose Aizpurua

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Proposal key words:C5 Big Data, Data Mining, Reality MiningC8 Artificial IntelligenceE9 Smart Energy (incl. energy efficiency)

Smart deep edge architecture and systems for beyond 5G (SEAS-B5G)

Objective of Project Idea:
For beyond 5G/6G, the project SEAS-B5G will extend the edge computing paradigm, with a goal of intelligent connectivity, storage and computing anywhere, anytime. It will include micro and moving-edges, which can collaborate and operate intermittently. Ultra demanding applications, such as V2X and mission critical industrial applications will push for ever higher densification. With appropriate incentives, the stakeholders and operators will cooperate to provide resources. Edge nodes will adapt and scale to demands and allow almost zero latency (<5μs). The SEAS-B5G envisages that this solution will dramatically increase the supported throughput with bandwidth savings up to 20% for downlink and 80%[...]
Name: Jean-Charles Point

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AI and Robotics for Quality and Risk Management in Industrial Harsh Conditions

Objective of Project Idea:
This project is based on the perceived potential of the use of robotics in harsh conditions through the utilization of AI, next generation wireless sensors (IoT platform), wireless networks (5G), image analysis, and autonomous robotics. The possibility of using drones and mobile robotics in monitoring/inspection has been sparking the interest in the R&D field, especially in industrial harsh conditions. However as per recent research of drones in harsh conditions of mines, the main challenges drones face in harsh conditions are GPS-denied environment, lack of wireless signal, confined space issues, and high concentration of dust and toxic gases. Hence this project[...]
Name: Jorma Hintikka

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Proposal key words:A2 Mobile / WirelessC8 Artificial IntelligenceD4 Internet of Things, including Sensors and Wearables

Position, movement and activity monitoring with CIAD (Computational Intelligence for Anomaly Detection)

Objective of Project Idea:
A wearable HW/SW to be used for elderly, mentally handicapped, patients, staff, or children to monitor their movements in a certain area (indoor or outdoor) equipped with electronic beacons/sensors. Collected data will be processed using computational intelligence techniques for anomaly detection. Opportunities for device, system, algorithm development…
Name: Arif Selcuk Ogrenci

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Proposal key words:B14 eHealth related services and applicationsB8 IoT related services

HARMONIZED AI & DOMAIN EXPERTISE ON INTEGRATED DATA INFRASTUCTURES FOR MANUFACTURING SYSTEMS

Objective of Project Idea:
We propose a dual approach to address these shortcomings and enable more efficient usage of AI-powered tools within the manufacturing industry Integrated Design of IoT Network, Data Management and Machine Learning Pipelines: These modules are usually developed independent of each other, which leads to severe architectural limitations and performance gaps in real applications. As the project consortium, we shall develop novel architectures and methodologies for integrated design of data flow and machine learning pipelines that are suitable for highly automated AI-powered manufacturing systems. Integration of Domain Knowledge and Physics-Based Models with AI-powered Systems: Current AI systems are completely data-driven, which[...]
Name: Onur Tuncer

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human resource ecosystem

Objective of Project Idea:
utilities of competency management for education, performance, compliance, career pathways, workforce planning, labour policy research and decision making
Name: G Zhao

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Proposal key words:C1 Future Service PlatformsC8 Artificial IntelligenceE5 Smart Learning / Digital School

RENNE# RENEWAL_ENERGY_CHAIN

Objective of Project Idea:
What is the main benefit of the idea/proposal? Traceability system to identify and monitoring clean energy in real time. What makes the added value? RENEWAL_ENERGY#CHAIN provides a virtual IDentification to clean energy so consumers know exactly what source of energy they are buying in real time. RENEWAL_ENERGY#CHAIN allows managing the data in different renewal energy facilities around Europe in order to register the renewable origin of the stored energy. Such data is recorded on a blockchain platform that validates and guarantees the reliability of the information.
Name: EMILIO MULET DIAZ

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Proposal key words:A7 Energy efficiency (of networks)
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