Intelligent Deception Detection through Machine Based Interviewing

In this paper an automatic deception detection system, which analyses participant deception risk scores from non-verbal behaviour captured during an interview conducted by an Avatar, is demonstrated. The system is built on a configuration of artificial neural networks, which are used to detect facial objects and extract non-verbal behaviour in the form of micro gestures over short periods of time. A set of empirical experiments was conducted based a typical airport security scenario of packing a suitcase. Data was collected through 30 participants participating in either a truthful or deceptive scenarios being interviewed by a machine based border guard Avatar. Promising results were achieved using raw unprocessed data on un-optimized classifier neural networks. These indicate that a machine based interviewing technique can elicit non-verbal interviewee behavior, which allows an automatic system to detect deception

A comparative study of time - frequency transforms of inverse synthetic aperture radar signals for air target imaging

A comparative study of time-frequency (TF) transforms for Inverse Synthetic Aperture Radar (ISAR) imaging is presented. Following a concise presentation of the ISAR geometry and the ISAR imaging method used in this work, we introduce the theory of the linear and the bilinear TF transforms involved in our numerical simulations. Extended numerical results are presented for a reference simulated radar target that has a rotational motion and for various noise conditions. The constructed ISAR images are presented and analyzed quantitatively using an entropy cost function criterion, while corresponding run-time considerations have also been taken into account. Moreover, the same simulation has taken place for the ISAR imaging of a target that is moving along a rectilinear trajectory at constant speed, without any rotational motion. As a result, it appears that the Smoothed Pseudo Wigner-Ville (SPWV) distribution provides us with images of superior quality, for both ISAR scenarios. Furthermore, the analysis of the results demonstrates the usefulness of bilinear TF methods in ISAR imaging and showcases the relative performance advantages and disadvantages of the various distributions.Παρουσιάζεται μια συγκριτική μελέτη των μετασχηματισμών χρόνου-συχνότητας για ραντάρ αντίστροφης συνθετικής απεικόνισης (ISAR). Αρχικά, αποδίδεται μία λεπτομερής παρουσίαση της γεωμετρίας ISAR καθώς και των μεθόδων-αλγορίθμων απεικόνισης στόχου ραντάρ αντίστροφης συνθετικής απεικόνισης, ενώ γίνεται μια εισαγωγή στο θεωρητικό υπόβαθρο των γραμμικών και διγραμμικών μετασχηματισμών που πρόκειται να χρησιμοποιηθούν για την εξαγωγή των αριθμητικών αποτελεσμάτων. Παρουσιάζονται πλήθος αριθμητικών αποτελεσμάτων για έναν εναέριο στόχο ραντάρ, ο οποίος εκτελεί περιστροφική κίνηση γύρω από το κέντρο μάζας του, για πολλές περιπτώσεις θορύβου. Οι τελικές ISAR απεικονίσεις του στόχου αποδίδονται και αναλύονται ποιοτικά με τη χρήση μιας συνάρτησης κόστους βασιζόμενη στον ορισμό της εντροπίας. Επιπρόσθετα, οι χρόνοι υπολογισμού των απεικονίσεων λαμβάνονται υπόψη. Αντίστοιχη, εν συνεχεία, προσομοίωση λαμβάνει χώρα για την ISAR απεικόνιση στόχου, που όμως θεωρείται ότι εκτελεί κίνηση σε ευθύγραμμη τροχιά με σταθερή ταχύτητα, χωρίς καμία περιστροφική κίνηση. Συμπερασματικά, ο μετασχηματισμός Smoothed Pseudo Wigner-Ville αποδίδει απεικονίσεις των στόχων -και για τις δύο περιπτώσεις- εξαιρετικής ευκρίνειας και ποιότητας. Επιπρόσθετα, η ανάλυση των αποτελεσμάτων καταδεικνύει την χρησιμότητα των διγραμμικών μετασχηματισμών χρόνου-συχνότητας για ISAR απεικονίσεις στόχων, ενώ παρουσιάζει και τα πλεονεκτήματα και μειονεκτήματα του κάθε μετασχηματισμού

Designing an Integrated System for Smart Industry: The Development of the HORSE Architecture

The application of smart industry frameworks and technologies propels manufacturing into a new era with increased production flexibility, closed-loop quality management, more efficient use of resources, and more agile production processes. These characteristics lay the basis for the support of highly customized production, short lead times and increased product quality at lower prices – all characteristics that are demanded by the global market in which modern manufacturing finds itself. This book presents the approach and results of the five-year European HORSE project in the field of smart manufacturing. HORSE focuses on bringing flexible, safe human-robot collaboration and vertical and horizontal process support in an integrated fashion to the manufacturing work floor. The HORSE system is realized on the basis of a highly modular architecture, such that the system can be configured to the manufacturing context at hand. This architecture is aligned with the ISA95 and RAMI 4.0 frameworks. The book presents the development of the architecture, the realization of the prototype system, and the application of the system in ten industrial cases across Europe, discussing the details of seven of these. The book is aimed at manufacturing professionals, system integrators and consultants, researchers in the smart manufacturing domain, as well as advanced students in manufacturing curricula

Erratum to “The HORSE framework: A reference architecture for cyber-physical systems in hybrid smart manufacturing” [J Manuf Sys 61 (2021) 461–494]

The publisher regrets. The current published version says wrongly: Fig. 18. EMG data from five different testers carrying a 2 kg weight. Fig. 19. EMG data for various weights carried by the left and right arm. Correct descriptions: Fig. 18. HORSE Exec logical software architecture as applied in BOS pilot (relevant modules highlighted in light blue) (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article). Fig. 19. HORSE Execution technology stack with concrete technologies as applied in BOS pilot (relevant modules from Fig. 15 from highlighted in light blue) (For interpretation of the references to colour in this figure legend, the reader is referred to the web version of this article). Also, the affiliation has a typo: Instead of current Eindhoven University of Tehcnology, it should be Eindhoven University of Technology. The publisher would like to apologise for any inconvenience caused