Automated data collection and assessment for Debriefing Distributed Simulation-Based Exercises (DDSBE)

2004 ◽  
Author(s):  
Thomas F. Carolan ◽  
Peter Bilazarian ◽  
Lockheed Martin
Author(s):  
Thomas F. Carolan ◽  
Peter Bilazarian ◽  
Long Nguyen

Automated, embedded data collection, assessment, and integration capabilities are key requirements of an instructional framework to support performance evaluation and debrief of multiple teams participating in distributed simulation-based exercises. This paper discusses recent progress in the application of automated performance data collection and assessment capabilities as part of a prototype Debriefing Distributed Simulation-Based Exercises (DDSBE) system. The automated data collection process obtains data from local and distributed simulation systems and operator consoles to assess individual, team, and multi-team performance on training objectives during critical and key events. Performance is assessed at the multi-team, team, and individual levels as appropriate. Automated and observer-based semi-automated assessments are integrated into data products suitable for debrief development. Methods, products, and results from the research and development effort to date are discussed.


Author(s):  
William J. Salter ◽  
Susannah Hoch ◽  
Jared Freeman

This paper discusses human factors issues in designing methods to develop and deliver After Action Reviews (AARs) in the Navy-sponsored Debriefing Distributed Simulation-Based Exercises (DDSBE) research program. DDSBE is intended to develop and test methods for collecting, analyzing, presenting, and distributing performance data in the emerging Navy distributed simulation training environment. In addition to research-driven AAR design, the program includes considerable software development: building a simulation testbed, developing and integrating automated and semi-automated data collection tools, and designing and implementing automated analysis methods. Considerable data will be collected automatically. Consequently, trainers will not be required to observe an aspect of performance to include it in an AAR. Although AARs are used after actual military actions and after live training, we confine our discussion to distributed simulation-based training, the focus of DDSBE.


Author(s):  
Weiping Liu ◽  
Jennifer Fung ◽  
W.J. de Ruijter ◽  
Hans Chen ◽  
John W. Sedat ◽  
...  

Electron tomography is a technique where many projections of an object are collected from the transmission electron microscope (TEM), and are then used to reconstruct the object in its entirety, allowing internal structure to be viewed. As vital as is the 3-D structural information and with no other 3-D imaging technique to compete in its resolution range, electron tomography of amorphous structures has been exercised only sporadically over the last ten years. Its general lack of popularity can be attributed to the tediousness of the entire process starting from the data collection, image processing for reconstruction, and extending to the 3-D image analysis. We have been investing effort to automate all aspects of electron tomography. Our systems of data collection and tomographic image processing will be briefly described.To date, we have developed a second generation automated data collection system based on an SGI workstation (Fig. 1) (The previous version used a micro VAX). The computer takes full control of the microscope operations with its graphical menu driven environment. This is made possible by the direct digital recording of images using the CCD camera.


1983 ◽  
Author(s):  
Peter J. Kennedy ◽  
James R. Lewis

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Tanika Kelay ◽  
Kah Leong Chan ◽  
Emmanuel Ako ◽  
Mohammad Yasin ◽  
Charis Costopoulos ◽  
...  

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