Conference Agenda

MAST Northern Coasts 2019 Bella Center, Copenhagen, Denmark

Wed 4 Sep 2019

13:00 Wed 4 Sep 2019

13:00–14:30

1B: Surface

Human Interface

CHAIR: Rear Admiral (ret) Radamanthys Fountoulakis

Coastal Areas: Smart Solutions for Space Cybersecurity and Smart Governance Foundations

  • Prof.ssa Agata Lo Tauro
    prof.ssa
    MIUR
    Italy

This research project focus on all aspects of smart governance, broadly understood

as the intelligent use of digitization and their technologies (e.g. data-driven, cognitive, cyber-physical, space cybersecurity, etc.) in planning, managing, transforming and monitoring coastal areas’ governance instances and improving decision-making through enhanced collaboration among different stakeholders. Contributions are sought with respect to smart governance foundations, models, frameworks, practices, components, dynamics, challenges and trade-offs.

The project also analyzes interactively the potential of Spatial Cybersecurity initiatives in the context of cooperative spaces within Smart Coastal Areas discussing new intercultural partnerships and promoting disruptive innovation to address the challenges associated with future smart analysis and systems.

The long-term objective of smart coastal areas is to enhance the quality of services provided to citizens and ultimately improve their quality of life. However, incorporating intelligent use of digitization opens up various security and privacy issues in smart coastal areas, along with the people living in them and their security. We briefly present the fundamental design concepts of smart costal areas and review recent smart initiatives and projects on space cybersecurity. After identifying several security vulnerabilities and privacy issues within the context of smart costal areas that must be addressed, we then discuss various privacy and security solutions, recommendations, and standards for smart coastal areas and their services. This is a work in progress

The Challenge of Monitoring and Assessing Trainees in OPS Simulators

  • Mr Laurent De Jerphanion
    Product Line Manager
    Thales
    France

At sea crews need to be ready to face any threat at any time. But how to assess and qualify teams?

Simulation with advanced technology and demanding tactical scenario is efficient to train naval crews. But assessment remains difficult, as it should be comprehensive and detailed to allow improvement of results.

First, recording of human behaviour, with eye tracking devices, can identify the focus of trainees’ attention and prevent too much time on non-relevant information. Alternatively essential body information, e.g. blood pressure, can be monitored to assess anxiety management.

Second option is to monitor actions of trainees in an Ops Room. Analysing actions in the CMS or sensors consoles, implies identification of relevant information and presentation to instructors. Records, storage and organization of large amount of data is achieved with big data technology. Still a tactical approach based on the current doctrine is to be applied to each Navy. The aim is to prioritise the recording of key moments in a scenario – detection, classification, reaction, within a task force. The metrics chosen have to be clear enough to be analysed by instructors in real time.

Advanced technology in data collecting and management can offer a real bonus to instructor in assessing trainees beyond the standard result of a tactical scenario. If engineers can elaborate powerful tools, cooperation with ops personnel to adapt to the tactical doctrine and the training objectives has to be thoroughly conducted. Hence training in simulators could be optimised to prepare crews for sea battle.

AI in Next Generation C4ISR

  • Mr. Morten Dam Jørgensen
    Data Science Lead
    Terma A/S
    Denmark

Artificial Intelligence (AI) and Big Data are promising enhanced functionality across a wide range of domains. The military applications are many: automated target recognition, anomaly detection, automated mission planning, predictive maintenance, just to name a few. As well as possibilities, development challenges exist, especially the need for secrecy surrounding data hampers progress. As the supplier of automated target recognition to the NATO Alliance Ground Surveillance system, TERMA has developed a solution approach that enables the Operators to take control of the data-intensive AI modeling process. This approach solves a multitude of problems and enables unique capabilities for the end users, such as rapid deployment of data-defined sensor capability.

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