Traffic monitoring in home networks: Enhancing diagnosis and performance tracking

2016 ◽  
Author(s):  
Zied Aouini ◽  
Abdesselem Kortebi ◽  
Yacine Ghamri-Doudane
Keyword(s):  
Traffic Monitoring ◽  
Home Networks ◽  
Performance Tracking ◽  
And Performance

Adaptive Packet Padding Approach for Smart Home Networks: A Trade-off between Privacy and Performance

2020 ◽  
pp. 1-1
Author(s):  
Antonio J. Pinheiro ◽  
Paulo Freitas de Araujo-Filho ◽  
Jeandro de M. Bezerra ◽  
Divanilson R. Campelo
Keyword(s):  
Smart Home ◽  
Home Networks ◽  
Trade Off ◽  
And Performance

Knowledge and Performance: Tracking the Development of Expertise

1995 ◽  
Vol 39 (14) ◽  
pp. 940-940
Author(s):  
Anna L. Rowe ◽  
Todd M. Miller ◽  
Emily Dibble ◽  
Kurt Steuck
Keyword(s):  
Performance Tracking ◽  
Development Of Expertise ◽  
And Performance

Effect of Multitasking on Simulator Sickness and Performance in 3D Aerodrome Control Training

2017 ◽  
Vol 49 (1) ◽  
pp. 27-49 ◽  
Author(s):  
Birsen Yörük Açıkel ◽  
Uğur Turhan ◽  
Yavuz Akbulut
Keyword(s):  
Undergraduate Students ◽  
Traffic Monitoring ◽  
Air Traffic ◽  
Civil Aviation ◽  
Cognitive Resources ◽  
Simulator Sickness ◽  
Simulation Performance ◽  
Quasi Experimental ◽  
And Performance ◽  
The Relationship

Background. Air traffic controllers need to use their cognitive resources to cope with multiple tasks while monitoring air traffic. They are trained through advanced 3D simulators; however, they might demonstrate simulator sickness symptoms during this training. The relationship between multitasking and simulator sickness and the influence of different tasks on these variables can be investigated to inform further training practices for an efficient traffic monitoring. Purpose. The purpose of this quasi-experimental research was to explore the influence of different working positions and multitasking scenarios on simulator sickness and performance in 3D Aerodrome Control Training. Method. Thirteen undergraduate students from a civil aviation school participated in a time-series experimental design. Nausea, disorientation and oculomotor disturbances were measured before and after conducting different multitasking scenarios in an aerodrome control simulator. A 20-item simulation performance scale was also used. Performance differences and the relationship between simulator sickness and performance were addressed through parametric tests. Results. Findings revealed that tower-ground positions created higher levels of nausea. Performance scores varied in different scenarios. Simulator sickness was higher in females. Total sickness correlated negatively with performance in all scenarios. Conclusion. Certain tasks have different influences on both simulator sickness and performance. Concurrent multitasking seems to trigger simulator sickness further. The degree of simulator adaptation, test anxiety and physiological measures of the process should be considered in further research.

Inspectable learner reports for web-based language learning

ReCALL ◽  
2005 ◽  
Vol 17 (1) ◽  
pp. 32-46 ◽  
Author(s):  
TRUDE HEIFT
Keyword(s):  
Error Analysis ◽  
Language Learning ◽  
Study Habits ◽  
User Profiles ◽  
Tutoring System ◽  
Web Based ◽  
Fall Semester ◽  
Performance Tracking ◽  
Learner Profile ◽  
And Performance

In this paper we present the Report Manager of our Web-based tutoring system for German – an interface to a persistent learner report that students can inspect and manipulate. The learner report collects and retains information on the learner’s progress and performance that is saved between visits. It also provides access to a journaling system that records prior inputs along with detailed error analysis, and a bookmarking system that tracks exercise completion. Finally, results can be printed or emailed to an instructor. In the Fall semester 2003, we conducted a study with 87 learners of German to investigate how their study habits are affected by an inspectable learner report. Our study indicates that students reviewed their learner profiles frequently – 33 times on average over the course of a semester – and that 70% of the students repeated exercises after having inspected their learner profile. So, while detailed user profiles and performance tracking are invaluable tools for CALL researchers, our study suggests that students also utilize and are influenced by the information.

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