Raytheon Technologies (Netherlands)

Measuring social constructs such as engagement, rapport, and trust often rely heavily on surveys and behavioral observations. This paper describes a method to use features identified by psychology-based language analysis, combined with machine learning, to predict participant survey responses in a training context based on 120 dyad transcripts. The method analyzed data collected from subjects performing a circuit board training task within the project called SCOTTIE, Systematic Communication Objectives and Telecommunications Technology Investigations and Evaluations. In this study, the collected data showed low utterance count and a lack of correlation between features and survey responses, suggesting that the context in which the interactions occurred may limit opportunities for interlocutors to manifest social behaviors verbally, which in turn affected the ability to use language analysis to predict subject perceptions of the interaction. However, the methodology appears sound.

Abstract The Future of Systems Engineering (FuSE) is an INCOSE‐led multiorganizational collaborative initiative pursuing INCOSE's Vision 2025 and beyond. To accomplish this the FuSE initiative encompasses a number of topic areas with active projects to shape the future of systems engineering. This paper addresses the FuSE Security topic area and provides a roadmap of eleven foundational concepts for building the security vision. The purpose of this paper is to instigate and inspire thinking and involvement in the development and practice of the foundational concepts.

Abstract The objective of the DVM concept model is to characterize the content and relationships involved in the exchange of digital artifacts and its curation for stakeholder use and consumption. The Digital Engineering Information Exchange Working Group (DEIX WG) developed this concept model to describe the interactions and challenges of exchanging a diverse set of information in a digital environment. The DEIX WG is a collaboration between the International Council of Systems Engineers (INCOSE), the National Defense Industry Association (NDIA) Modeling and Simulation (M&S) Subcommittee, and the Department of Defense, Office of the Under Secretary for Research and Engineering (DoD/OUSE (R&E)). The DEIX WG supports the strategic objective to accelerate the digital engineering transformation by evolving the characterization of the content and relationships involved in the exchange of digital artifacts between disciplines and stakeholders throughout the engineering lifecycle.

Business travel leads to the consumption of large amounts of energy. Circuit World (CW), a Unity virtual environment, uses avatars and realistic simulations of electrical circuits to test the effectiveness of teaching complex engineering tasks without travel. To evaluate CW, a study compares how well participants learn to repair a circuit when trained face-to-face, via Zoom, and within CW wearing an HMD. After training and completion of a knowledge quiz, learners are given a circuit to repair by themselves using a non-immersive desktop version of CW. Participants repair it again two weeks later to test retention. Each study session involves three people: learner, trainer, and researcher. The learner and trainer control avatars and the researcher, invisible, observes over the learner's shoulder. Collected data includes task performance logs from CW, knowledge quiz scores, and, based on video recordings, eye gaze tracking, behavioral coding, and measures of facial synchrony between trainer and learner.

High speed and high rotor tip-speed, in particular, combined with high magnetic and electrical loading, are key enablers for obtaining high specific power in electric machines. The rotor described in this paper pushes the tip speed to about 80% of the speed of sound. An outer rotor design with a carbon-fiber retaining ring on the outer diameter (OD) was chosen to maintain high magnetic loading in the airgap while ensuring structural integrity at high speed. To achieve manufactural feasibility, a cantilevered rotor structure was proposed to suspend the rotor around the stator. This architecture introduces significant rotordynamic challenges, one of which is the ”trunnion effect,” a rotordynamic effect uncommon in traditional electric machines. This effect was identified when a discrepancy was observed during a rotor test and a root-cause analysis was performed to explain it. The original rotor dynamic model was modified to include this effect, and verified through a ping test. The trunnion effect, which significantly reduces the critical speeds, can be offset by selecting appropriate dimensions for the rotor end plate using the revised model. Thus, even in the presence of this effect, the proposed unconventional motor topology is confirmed to function reliably.