Showing papers by "Thales (Netherlands) published in 2018"

Measuring, Logging, and Visualizing Pulsed Electromagnetic Fields Combined with GPS Location Information

Abstract: Diode detectors and thermocouple detectors are the standard sensors for measuring electromagnetic fields. Thermocouple detectors are most suitable for detecting average values of pulsed signals. In case of peak detection of the field strength, the thermocouple detector is too slow and diode detectors have to be used. In case of a large crest factor, e.g. with a radar, a cascaded diode detector is needed, which is not available as a standard exposure electromagnetic field strength probe. Furthermore, a continuous registration of location while doing measurements is added. This paper describes a data acquisition (DAQ) system built in LabView(lv), which displays and logs the data of a cascaded diode-based wideband power sensor and a GPS sensor in a synchronized way. The LV program also displays the power sensor parameters and the associated GPS location in a heads up display (HUD) using the Microsoft HoloLens. This allows the user to walk and see the measured data in augmented reality without the need to look down on a laptop and missing the maximum measured electric field strength. This reduction in delay occurring from human reaction time allows to follow measurements more accurately in real time. The built system is convenient, compact and mobile in usage and can be used for compliance testing with the health and safety requirements for workers or the general public of radiated electrical fields in difficult to reach areas without compromising safety regulations.

Predictive Analytics for Leadership Assessment

Abstract: This paper reports on an exploratory study utilizing data mining techniques to predict leadership constructs based on game play data. The learning objective of the game is (1) to become aware of devilish dilemmas during crisis situations, and (2) to understand ones’ leadership style in dealing with these dilemmas. Do player’s act like a People person, as an Administrator, or more like a Figurehead. We evaluate several data mining techniques to predict scoring on these ‘classes’. Our data set consists of 21600 instances. This data was captured over the last 4 years over the course of numerous training sessions for professionals in crisis management organizations in the Netherlands. We found that some algorithms perform significantly better than others in terms of predicting scoring on our test data. Our aim is to develop robust predictive models on the basis of which learning instructions could be given to the trainees during game play to increase their learning journey. However, we conclude that fit for purpose predictive models depend on domain knowledge in the specific field of application.

Socio-Technical Health and Usage Monitoring Systems (HUMS)

Abstract: This work in progress paper proposes a Socio-Technical Health Usage Monitoring Systems (HUMS). In addition, a lab setup is presented for empirical studies focusing on elucidating team performances.

The interconnected wireless world, a major challenge for EM-coexistence

Abstract: The number of wireless devices is growing rapidly, and are also deployed in many environments, which is posing new challenges for EMC engineers. This paper discusses the trends and impact, and describes the Electro-Magnetic Diversity as a concept for achieving EM coexistence. The reason for publishing, and the impact of, the new European Radio equipment Directive is discussed. Generic measures to achieve the EM Compatibility, i.e. the required selectivity and low unwanted emission, are given.