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Institution

Thales (Netherlands)

CompanyHengelo, Netherlands
About: Thales (Netherlands) is a(n) company organization based out in Hengelo, Netherlands. It is known for research contribution in the topic(s): Electromagnetic compatibility & Radar. The organization has 40 authors who have published 52 publication(s) receiving 518 citation(s). The organization is also known as: Hollandse Signaalapparaten B.V. & Signaal.
Papers
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Proceedings ArticleDOI
25 Jun 2001
TL;DR: A new method to perform detection and tracking of a possible target in noise based on the basis of the standard measurements but on the raw radar video data, better suited for tracking weak targets in noise than the classical method.
Abstract: We present a new method to perform detection and tracking of a possible target in noise. We perform tracking not on the basis of the standard measurements but on the raw radar video data. Detection then is based upon the a posteriori information, i.e., the probability density of the state given these past measurements (in this case video data). This way of data processing/tracking is also referred to as track before detect (TBD) for obvious reasons. An advantage of this method over classical tracking is that in this TBD approach the decision whether a target is present or not is based on integrated and kinematically correlated energy. This method is better suited for tracking weak targets in noise than the classical method. As this problem statement leads to a nonlinear non-Gaussian filtering problem classical filtering methods (e.g. Kalman filtering) will result in poor performance. A particle filter is used to deal with the nonlinearities and the non-Gaussian nature of the noise. The same particle filter output is also used to perform detection based on a likelihood ratio test.

100 citations


Journal ArticleDOI
Abstract: As one of the most important additive manufacturing (AM) techniques, laser metal deposition (LMD) has been extensively studied specially during the last few years. Similar to other AM techniques, the quality of LMD parts is highly dependent on the processing parameters that need to be optimized so as to obtain geometrically accurate parts as well as favorable microstructures and, thus, mechanical properties. The present review paper therefore aims to present a critical analysis and overview of the relationship between processing parameters, microstructure, and mechanical properties of LMD components made from the Ti–6Al–4V alloy. Moreover, we discuss the applications of LMD parts in the aerospace and biomedical industries as well as the potential of LMD techniques for fabrication of more complex parts such as cellular structures. The paper concludes with a summary of the most important findings and suggestions for future research.

77 citations


Journal ArticleDOI
TL;DR: It is shown that when estimating the a posteriori probability density of a possible signal in noise by means of a particle filter, the output of the filter can be used to approximately construct the likelihood ratio, which arises in many different detection schemes.
Abstract: In this paper, we present a new result that can be used for detection purposes. We show that when estimating the a posteriori probability density of a possible signal in noise by means of a particle filter, the output of the filter, i.e., the unnormalized weights, can be used to approximately construct the likelihood ratio, which arises in many different detection schemes.

43 citations


Proceedings ArticleDOI
07 Sep 2015
TL;DR: A novice method that combines interaction methods of reporting, blocking, warning, and embedded education to harness the intelligence of expert and novice users in a corporate environment in detecting email (spear) phishing attacks is proposed.
Abstract: Cyber criminals use phishing emails in high-volume and spear phishing emails in low volume to achieve their malicious objectives. Hereby they inflict financial, reputational, and emotional damages on individuals and organizations. These (spear) phishing attacks get steadily more sophisticated as cyber criminals use social engineering tricks that combine psychological and technical deceptions to make malicious emails as trustworthy as possible. Such sophisticated (spear) phishing emails are hard for email protection systems to detect. Security researchers have studied users' ability to perceive, identify and react upon email (spear) phishing attacks. In this study we have surveyed recent works on understanding how to prevent end-users from falling for email (spear) phishing attacks. Based on the survey we design and propose a novice method that combines interaction methods of reporting, blocking, warning, and embedded education to harness the intelligence of expert and novice users in a corporate environment in detecting email (spear) phishing attacks. We evaluate the design based on a qualitative study, in three experimental steps, by using a mockup prototype, and with 24 participants. We report on the insights gained, indicating that the proposed combination of the interaction methods is promising, and on future research directions.

23 citations


Proceedings ArticleDOI
27 Nov 2007
TL;DR: A behavioural model for performance evaluation of a common mode choke (CMC) is proposed and combines an accurate model of the complex permeability, of the saturation, of leakage inductances and of parasitic capacitances.
Abstract: A behavioural model for performance evaluation of a common mode choke (CMC) is proposed: the topology and methods used to model the different properties of the CMC are presented. It combines an accurate model of the complex permeability, of the saturation, of leakage inductances and of parasitic capacitances. Inputs needed from the designer are measured values of currents, voltages and impedance of the actual system, and parameters available in literature and/or from manufacturers for the modelled CMC. The behavioural model is essential in simulation of EMI effects.

22 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20211
20202
20197
20184
20173
20167