In iPIM a developed prototype of sophisticated non-destructive technique (NDT) for structural health monitoring system (SHM) of oil and gas (O&G) pipelines will be further modified so that the system can be made available for commercialization. iPIM will continuously monitor the pipeline for cracks, corrosion and other faults and send the information over a wireless communication system to the network monitoring centre where the fault will be displayed over a 3D map of the pipeline. This will help the pipeline operators to take preventive and corrective measures before any accident stemmed from pipeline failure occurs. A low profile wireless Acoustic Emission (AE) and Long Range Ultrasonic (LRU) dual mode sensors will be permanently attached on the pipeline with a collar installed 100m apart from each other that can monitor 50m of pipeline in either side. The sensors will act in passive AE mode in normal operation and on detection of an anomaly will switch to LRU mode to locate and determine the characteristics of the anomaly. An artificial neural network (ANN) and data fusion system will intelligently manage data acquisition and analysis functions based on data received from the installed sensor nodes. An energy harvesting system will be developed to power the onsite electronics. A new software will be developed that will enable advanced signal processing with improved signal/noise separation in handling sensor data, thus supporting more sensitive measurement and more effective analysis. iPIM will ensure onshore pipeline safety and reduce cost due to pipeline failure in the Europe. The expected profit to the SMEs generated through the exploitation of the iPIM system is in the order of €56 Million, representing a return on investment (RoI) of 612%. With revenue per capita in the sector of €100,000 per employee, the creation of some 600 new, high-skilled, high-technology jobs in Europe has been anticipated.

<< Objectives >>Temporary rivers (TRs) are defined as watercourses that may dry up for some period of time within the year. These watercourses are ubiquitous in the EU and all over the world, from the Alpine snow-fed creeks to occasionally water-filled streams in arid and semi-arid areas. At the global scale, recent hydrological estimates suggested that water ceases to flow along more than 50% of the world’s rivers by length, demonstrating that non-perennial rivers can be seen as a rule.<< Implementation >>The project aims to:• Design and develop educational activities and training materials focused on Temporary Rivers (TRs);• Design and develop open-access, easy-to-use IT tools based on satellite imagery analysis for the identification and categorisation of TRs;• Build-up an open-access GIS repository to share TRs mapping over space and time and quantify the dynamics of flow intermittency across river networks.Implement Local pilots to validate the curriculum and the IT tool and a hackathon.<< Results >>Main results of the RIVERTEMP project:R3.2 Training materials for professors, university students, VET trainers, SME staff. 7 modules including: theory (6h, modules 1-5), workshop (3h, module 6) and field trip (3 h, module 7).R4.1. A MOOC (Massive Open Online Course) on identification and categorization of TRs including the main content from the training curriculum. (WP4)R4.2. An IT tool to process satellite images and obtain an classification of the flow conditions in temporary rivers, i.e

The overall objective of hackAIR is to develop and pilot test an open platform that will enable communities of citizens to easily set up air quality monitoring networks and engage their members in measuring and publishing outdoor air pollution levels, leveraging the power of online social networks, mobile and open hardware technologies, and engagement strategies. The hackAIR platform will enable the collection of data from: • measurements from existing air quality stations and open data • user-generated sky-depicting images (either publicly available geo-tagged and time-stamped images posted through social media platforms, or images captured by users • low-cost open hardware devices easily assembled by citizens using commercial off-the-shelf parts A data fusion algorithm and reasoning services will be developed for synthesising heterogeneous air quality data into air quality-aware personalised services to citizens. The hackAIR platform will be co-created with the users, and offered through: • a web application that communities of citizens will be able to install and customize • a mobile app that citizens can use to get convenient access to easy-to-understand air quality information, contribute to measurements by an open sensor, or by taking and uploading sky-depicting photos, and receive personalised air quality-aware information on their everyday activities The hackAIR platform will be tested in two pilot locations, with the direct participation of a grassroots NGO with >400.000 members and a health association with >19.000 members. Appropriate strategies and tools will be developed and deployed for increasing user engagement and encouraging behavioural change. The usability and effectiveness of the hackAIR platform, and its social and environmental impact will be assessed. A sustainability and exploitation strategy will pave the way for the future availability of the hackAIR toolkit, community and website, and explore opportunities for commercial exploitation.

The ambition of AirQast (previously BlueSky) project is to build a self-sustainable service platform providing Air Quality services based on Earth Observation data. These services will provide updated emissions inventories, advanced forecasting systems and decision making tools to manage air quality events in order reduce their economic and societal impact. This platform will cover pollutants having a higher economic and social impact such as PM2.5, PM10, SO2, NO2 and CO. AirQast team wants to demonstrate the viability and sustainability of AirQast platform through developing business cases in new identified markets such as Mobile Apps, Smart Home Devices, Green Supply Chain Industries, Insurance Risk, Smart Cities and Real Estate as well as established markets such as Environmental Regulation and Planning. We want also to develop our platform services in markets where the impact will be higher and where the sustainability of the project will be easier. These markets will be Europe, China and India. We already engaged real key potential customers from these markets. AirQast project would also like to build a one-stop portal platform containing tools and functionalities that facilitate and simplify the access, visualization and management of the large volume data generated. We think that improving data handling combined with an innovative and attractive communication strategy is a must to bridge some existing gaps between existing potential customers and our team.

The goal of AUDITOR is the implementation of novel precise-positioning techniques based on augmentation data in custom GNSS receivers to improve the performance of current augmentation services and reducing costs. These techniques are already patented by the consortium and proven to offer better accuracy with faster convergence times than solutions commercially available. More sophisticated atmospheric models will be implemented to provide better corrections of ionospheric errors and further increase accuracy. All these advances will be integrated in a software demonstrator that will use public data from GNSS networks to generate these correction data streams. These new receivers will enable cost-effective precision agriculture services to farmers, especially those with small and medium-sized businesses in areas of Europe. The custom dual-frequency receiver module will follow an innovative approach by porting a GNSS software-defined receiver to an embedded system that will integrate hardware accelerators to enable real-time operation in a low power system. The form factor and capabilities of the resulting receiver will be comparable to those of existing professional receivers in the market, while retaining all the advantages of software receivers: modularity, scalability, upgradability, and flexibility. Besides providing multi-frequency multi-constellation support, this advanced receiver will allow very low level access to key internals even at sample level, enabling the integration of other complementary techniques like interference analysis and monitoring or authentication using remote servers for encrypted bands. The fact that the software layer will be the evolution of an existing and successful open-source project, GNSS-SDR, will allow GNSS developers and researchers to customize the code of the receiver to tailor it to their own applications or test their algorithms using this flexible receiver module, from reflectometry to ultra-tight coupled GNSS/INS systems.