5 research outputs found

    Digital Fabrication, Wearable Designs, + Overseas Partnerships

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    Digital Fabrication + Overseas Partnerships

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    Short Abstract: This presentation encompasses UW-Stout’s Industrial Design partnership with the National University of Science and Technology (NITU) MiSIS FABLAB in Moscow Russia. Examples of both student and faculty work utilizing the digital fabrication tools including utilizing 3D printers will be showcased. Full Abstract: This presentation encompasses UW-Stout’s Industrial Design partnership with the National University of Science and Technology (NITU) MiSIS FABLAB in Moscow Russia. This partnership has been mutually beneficial in expanding UW-Stout’s industrial design programs’ knowledge in digital fabrication and developing faculty applied research. This opportunity has not only enabled growth in the industrial design’s digital fabrication methodology, but also encouraged development in rapid prototyping. Examples of both student and faculty work utilizing the digital fabrication tools including utilizing 3D printers will be showcased

    Optimizing Performance of Trainees for UAS Manpower, Interface and Selection (OPTUMIS): A Human Systems Integration (HSI) Approach

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    Unmanned Aerial System (UAS) operations research by Williams (2004) found that platforms which employ winged aviators (e.g., Predator) have shown higher mishaps than those that select operators that are nonpilots (e.g., Shadow). One explanation may be negative training transfer from manned to unmanned platforms as operators are separated from the aircraft, thus depriving them of a range of sensory cues (McCarley & Wickens, 2007). Another explanation for higher Predator mishaps may be associated with poor Ground Control Station (GCS) design. These varying explanations for differences in mishap rates across platforms indicate the need to address a number of Human System Integration (HSI) issues including manpower/personnel, training, and design issues. Thus, this presentation discusses an effort investigating which UAS Knowledge, Skills, and Abilities, (KSAs) support the identification and training of candidates best suited to operate UASs. In addition, GCS design considerations directly linked to task workload and KSAs are discussed
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