CyberSec2SME project objective is to give board members of the Port of Galati in Romania, a highly critical infrastructure, the assurance they need on the information security of their organisation and their vendor BeiA in the supply chain. The assurance will cover people, processes and the IT. Subcontractors, like BeiA in this project, can use the Skopos audit to demonstrate they are compliant. Skopos has developed a platform that delivers a unique continuous holistic (i.e. testing continuously key cyber risk drivers) cyber risk audit, including advice on threat mitigation and tracking of progress. The tests include (a) employees’ cyber awareness, phishing tests and breached data, (b) risks via end-point software and (c) scans of websites & internal network.

ADMA TranS4MErs: The ADMA TranS4MErs (Advanced Manufacturing assistance and training for SME Transformation) will accelerate factories to become Factories of the Future embracing the ecological, digital, and societal challenges. This will be done via a smart combination of an all-connecting community platform in combination with toolboxes, virtual and physical training activities, assistance programs, tailor-made training content in all relevant technology areas and set of applications. All those services, tools, assistance, and service components pick up the SMEs at the right stage to start their own Trans4mation journey. The consortium is equipped with all necessary experience and professionalism and has a wide geographical reach, that we can almost guarantee to deliver the services at their doorstep or on their screen.

Call: H2020-INNOSUP-2020-08
Type of action: CSA
Proposal number: 101037866
Proposal acronym: ADMA TranS4MErs
Duration (months): 36

IMMINENCE: The complexity of the new mobile networks is growing exponentially, so the optimization cost is sometimes the main constraint to deploy the most innovative applications in these new networks. The introduction of AI in telecommunication networks will improve Mobile Network Operations, increase performance, reduce costs and decrease the vulnerability of the network management. The self-healing networks that automatically implement reconfiguration procedures when some low-quality monitoring KPIs are detected are critical to build more reliable applications. Finally, the auto reconfiguration of the networks to adapt the available capacity to the instant applications demand will increase drastically the efficient use of the networks at lower energy costs. In addition, the companies must have the skill and tools to properly exploit the huge amount of information and related vast use cases beyond Big Data and Data Lakes by means of applying analytical techniques that help them to bring added value from the business point of view, for which they must work on their data governance policies. Faced with these challenges, the aim of the project is to develop intelligent network management and control functions techniques, such as self-configuration networks, application aware networks, Artificial Intelligence (AI) mechanisms for autonomous and adaptive management of the future mobile networks as well as intelligent business analytics capabilities. For this purpose, we will define specific use cases and scenarios, such as Autonomous Mobile Network Management and Moving Vehicle Scenario; Smart Mobile Network (5G and beyond); Network Management, Alarm and Monitoring based on business analytics in new telco scenarios, such as TowerCos.

MILDBASS positions itself as innovative in terms of meeting sectoral needs and completely exceeding the state of the art. Currently, the major automobile manufacturers do not have any thermal spray coating application on cast iron brake discs. This technology is commonly used in applications that require high corrosion and abrasion resistance in aerospace, defense, and medicine. In this context, MILDBASS will make it possible to create this coating technology on the brake disc as product and process conditions that are suitable for mass production on an international scale. In addition, there will be an increasing need in the future for coatings in disks made of carbon composite materials and aluminum alloys.

The Healthonomy Project is a response to the emerging national and global emergency related to climate change and the rapid growth of the aging population.
Building on the awareness program launched following the 2016 Paris Agreement and the UK Government’s Obesity Campaign to Protect Healthcare Systems from COVID-19 Infections, the project addresses the niche market of delivering personalized training services that are available to citizens Are available through the use of AI technologies. The project’s core value proposition is based on empowering citizens through fitness programs developed by personal trainers and delivered by AI-powered virtual assistants. The Healthonomy Gateway Service simulates the close interaction between the customers and the service providers, e.g. B. Personal trainers. The service providers are responsible for providing tailor-made and targeted training programs, the execution and effectiveness of which are monitored and revised based on customer feedback. The project’s success metric will be an actual improvement in quality of life rather than a mere increase in activity levels. For example, to enable individuals who have lost their daily independence to regain daily living activities (ADLs) like personal hygiene and instrumental daily living activities (IADLs) like shopping. The accuracy of the skeletal movement extraction algorithm provides customers with intuitive feedback to align their movements with the recommendations of the service providers and thus gradually improve their training performance. The mechanisms for collecting feedback use both visual and auditory sensory signals with the help of the HealthonomyApp. Physical health monitoring is also complemented by mental wellbeing assessments obtained from independent providers.
In addition to technical innovation, the business innovation program will stimulate regional and small-scale retail and hospitality organizations (among others) through partner programs. The Healthonomy Market Gateway enables business operators to launch health campaigns and promotional offers that reward customers through various financial instruments upon completion. The cooperation project extends over 24 months and brings together leading industrial partners (BEIA, VML, FINCONS, IZERTIS, SAMPAS) with unique skills in the areas of product development, deep learning, computer vision and system integration in order to achieve the goals of the project. The Healthonomy product will be introduced to 4 national pilots in Austria, Spain, Great Britain and Turkey.

EVMD – The aim of the project is to develop a portable / wearable, miniaturized multi-sensor respiratory protection system with low power consumption as intelligent personal protective equipment (PPE), which is particularly suitable for providing protection and monitoring functions to doctors in the healthcare sector and the public. Currently only with disposable and separate devices possible. The Emergency Ventilator Medical Device (EVMD) is a respiratory protection system that is able to sterilize the breathing air flow in real time without the use of a specific substance formulation. It contains miniaturized intelligent UV solutions, man-made materials and an advanced control unit that enables contemporary environmental monitoring as a sentinel for viral emergencies and spread in communities.
EVMD will drive the further miniaturization and power reduction of the UV sterilization unit, which is to be embedded in several qualified and certified intelligent PPE. This is an important task and project achievement in itself. BEIA owns a prototype at TRL6 that requires additional engineering to move to a higher TRL prior to validation, certification and marketing.
• Integration of a multi-sensor front-end module for the detection of respiratory diseases and health data;
• Integration of a special passive patch for environmental monitoring as an offline sentinel for the emergence and spread of viruses in communities. The patch is made of a material that can collect bioaerosol inhaled by the wearer for offline analysis. The patch could be further replaced by optical biosensors;
• Complete system integration, with hardware integration, UV sterilization of breaths, optimization and management of system power consumption at runtime, signal and data processing, sensor data fusion, wireless communication, reliability, user interface and connection to the cloud for analysis and AI services are all optimized and based on application-specific requirements.
• Immediate participation of 2 end-users in communities of fragile and weak elderly people, including the reward of anonymized data exchange using blockchain tokens.
In the context of emergencies like the COVID-19 pandemic, providing smarter, safer, and reusable PPE is a huge benefit to society. EVMD will mainly rely on an intelligent mobile ventilator that will bring together information from sensors, calculate the optimization model for the UV sterilization strategy and provide appropriate health feedback. The merger of several complementary sensor technologies and wearables offers better detection of a greater variety of features and better coverage of the optimization strategy. As explained above, this combination of sensors provides more reliable detection. This EVMD system must be light so that it can be carried by the “user” (person, wheelchair, robot, drone, etc.). However, a light weight is not enough to be accepted by the user. It must offer a no-charge life that is compatible with user activity. It also has to be small so that it can eventually be placed on the “user”. Last but not least, the system must be connected to its intelligent environment in order to collect information from its environment, send its own results and offer the “user” new functions. Cost is also of great importance for distribution across a variety of application areas as well as for getting to market quickly. For this reason, it was assumed that the device would also be manufactured using 3D printing in order to increase the resilience of the UE manufacturing system in the event of a manufacturing overload or a lack of furniture. Monitoring respiratory rate (RR) and checking for abnormalities in a timely manner is one way of providing early detection and monitoring. Any increase in excess of 30 breaths / min over an extended period of time can be viewed as a condition of warming that requires pulsed arterial oxygen saturation (SaO2) for immediate treatment. Patients with mild symptoms and no underlying chronic conditions – heart disease, kidney failure, immunocompromised conditions that put the patient at increased risk of complications – can be cared for at home or when hospitalization may not be possible due to the stress the health system.
The EVMD system is used for real-time sterilization and offline monitoring of any infections caused by exposure to infected people. The system can be used indoors and outdoors and has particular effects on sensitive people. The applications include the integration in robotic and autonomous systems, the protection of people with impaired people in poor health conditions, the data fusion with instruments in smart hospitals, smart homes and smart factories.

ROBOCHEF – The project proposal outlined in this application addresses the health care needs for homemade, freshly prepared foods with high nutritional value, prepared to high hygienic standards that eliminate the potential for disease to spread while promoting healthy aging around the world.
The aim of this project is to build on the knowledge already gained through the development of Moley’s household robot kitchen and further develop our novel concept of mini-manipulation libraries, live robot actions and the use of corrective and adjustment movements based on real-time data. In this way, our robotic system can autonomously carry out complex tasks such as executing several recipes in order to achieve the desired degree of individualization of the meals with high output.

THERMONITOR is a complete remote monitoring solution for important parameters, sensor development, sensor fusion, artificial intelligence (AI), cloud infrastructure, mobile and web applications. Remote fever tracking / body temperature detection, anomaly detection, image interpretation, data and signal processing are key features of the proposed system. An essential function of the system is to remotely measure human body temperature using an RGB camera and a thermal sensor such as a microbolometer. It is becoming increasingly important to be able to measure fever effectively from a distance. There is no inexpensive, commercially available solution for neonates, inpatients and infants to measure both continuous and non-contact fever. THERMONITOR displays two different images to be captured by the RGB camera and thermal sensor are processed using computer vision techniques and data fusion. The fever is determined from the integrated image obtained from this fusion. In addition, monitoring is important in order to be able to intervene quickly in potentially dangerous and / or abnormal situations. To provide information to families or caregivers, deep learning techniques are applied to audio and video content to perform intelligent video separation and anomaly detection. The target area of use of the AI-based system is in facilities such as: hospital, home, pharmacy and the like, for a caregiver (babysitter, nurse, etc.) and a person in need of care (baby, patient, disabled person, etc.). The behavior of the caregiver towards people is very important both for the family and for the course of the situation. This system has a user-friendly mobile phone and web app for checking the values. It also enables remote monitoring of information for parents, doctors, caregivers, etc. The system provides parents or doctors with some emergency alerts or special status information. The product has a night vision function that is supported by infrared technology and provides monitoring functions around the clock. Caregivers, etc. The system provides parents or doctors with some emergency alerts or special status information. The product has a night vision function that is supported by infrared technology and provides monitoring functions around the clock. Caregivers, etc. The system provides parents or doctors with some emergency alerts or special status information. The product has a night vision function that is supported by infrared technology and provides monitoring functions around the clock.

AGRICOP project focuses on a low cost solution to prevent animal attacks on crop fields, based on an loî based crop protection system. Many agricultural areas în the country are prone to animal attacks and people stopped farming and în some places farmers started migrating because of huge loss created by animal attacks. ln Chhattisgarh, crops damaged by wild animals rase 13%, from 11,828 hectares to 13,321 hectares în the year 2012. ln Karnataka crops damaged area was 1900 hectares, Arunachal Pradesh it was 1405 hectares, Assam it was 1082 , în Andhra Pradesh it was 781 hectares and în Bihar it was 90 hectares of land. The animal attacks on crops depend on many factors including landscape , climate, animal species, proximity to animal reserve areas, type of crops, availability of light etc. The influence of landscape on animal attacks can be seen considering the statistics from the northern and southern part of the country. Type of terra în and availability of water near the fields are also factors related to landscape. The damage level also depends on the attacking species. Elephant, porcupine, wild boars, Bandicoot etc. Seasonal crops are less prone to animal attacks compared to permanent crops. Crop fields close to animal reserve areas are more prone to attacks.

SMARTFARMCOLD is about the design, development and testing of a smart farming system that will take care of providing an effective, low cost, energy efficient, irrigation and other factors monitoring and controlling (soil characteristics, weather conditions like humidity, temperature, etc.) system and the cold storage facility working on solar energy situated in the vicinity of the farm itself. There is a need for environment friendly refrigeration and air conditioning system with minimum (or zero) electricity consumption. Such systems can be used at remote rural areas to preserve food, milk and other farm products. The major significant advantage in the proposed system is that it has No CFC, no compressor, recycles waste energy and can be integrated with solar energy converters.
The refrigeration system used for the cold storage plant will be adsorption (solid sorption) refrigeration system. The existing adsorption refrigeration systems have very less coefficient of performance, specific cooling power and they are bulky. The aim is to reduce the size of the adsorption system and to improve its performance by using composite or consolidated adsorbent (involving nanoparticles) for better heat and mass transfer.
Innovation will focus on energy efficiency to provide less energy dependent cold storages suitable for remote areas having scarcity of electricity. The use of nanoparticles based composites in alternative refrigeration systems can eliminate the use of highly energy consuming compressors at the same time improving the performance of existing refrigeration systems. Thus, providing energy efficient cold storages along with the smart farming measures will provide a complete package for farming sector taking care of farmers’ needs.

AIROHARSH project aims to develop technological solutions addresses to the particular use case challenges like (1) the integration of 5G and edge services, and the robotic systems that are connected into IHC to solve current communication bottlenecks, (2) the navigation and positioning difficulties of autonomous drones and mobile robots in IHC, and (3) the up-to-now rather poor problem-solving capabilities of AI and image analysis tools in practical IHC-applications. The use case results of the AIROHARSH project will provide novel solutions, products and services to industries operating in industrial harsh conditions to ensure profitability, safety and quality. From the technological point of view, the results of AIROHARSH will go beyond the state-of-the-art, motivate further research projects, and create new business opportunities to SMEs, large scale technological companies, and research institutes.

DISTINGO aims to create a new generation of locker distribution systems, which are simple, easy to use, smarter and dynamically reconfigurable. The lockers can be used to store, distribute or share items of any kind, and will be dynamically associated with specific services and functions depending on their content, but also user and system operator uses and requirements. This new type of distribution system will make the use of distributed processing, acquisition, and action capacities made available by the underlying the infrastructure. This will help the system to better adapt to requirements linked to content and new uses defined by all players in the chain, end-users, but also logistics specialists or operators of the infrastructure or the distribution system fleet. The proposed project offers an object storage and distribution service using connected lockers, which are dynamically linked to functions and services related to that address end-user’s need, expectations and desires and operator’s uses and requirements.

4D Hydrogen: The increasing harmful emissions have finally created an almost inevitable natural deterioration. It is obvious that transition into a green energy ecosystem is necessary in order to stop the natural devastation. Green hydrogen will be a critical enabler for the global transition to sustainable energy and net zero emissions. Also, as a hydrogen carrier, ammonia will play a significant role in the new hydrogen ecosystem. Currently, ammonia production causes almost 11% of global industrial carbon dioxide emissions, and 1.8% of global emissions. Producing green ammonia is likely to be put in perspective as it is chosen as one of the most innovative and emerging technology trends in 2021 by World Economic Forum. Therefore, green ammonia production from green hydrogen is vital for sustainability of our world. Hence, we have formulated our strategy in order to develop green hydrogen, which is produced by electrolysis using green electricity produced from sun. In this project; a pilot scale green ammonia production site will be established and also a simulation of this site will be generated. In order to increase the innovative eligibility of this 4D Hydrogen project, a Smart Controlling Platform that will congregate all the data from the site will be developed; and also carbon trace will be calculated.