A Flight Guidance Display Format on Smart Glasses for Private Pilots

2017 ◽  
Vol 7 (2) ◽  
pp. 67-77 ◽  
Author(s):  
Paul M. Haiduk
Keyword(s):  
Secondary Task ◽  
Low Cost ◽  
General Aviation ◽  
Technical Error ◽  
State Information ◽  
Display Format ◽  
Traffic Pattern ◽  
Smart Glasses ◽  
Visual Flight Rules ◽  
Flight Guidance

Abstract. Keeping the pilot eyes-out is important, especially in general aviation (GA), because pilots mostly fly under visual flight rules (VFR). In this study, a display format for smart glasses was developed. Besides the primary flight state information, a curved arrow shows the pilot when to turn and dynamically straightens when the turn should be terminated. The behavior of the display format was developed to guide the pilot in a VFR traffic pattern. A reduction of in flight technical error and missed signals in a secondary task demonstrated the potential of the display format in GA applications. Subjective workload did not significantly change. Results suggest that low-cost consumer smart glasses used in GA could have the potential to support pilots in the future.

Low cost ultrasonic smart glasses for blind

2017 ◽  
Author(s):  
Rohit Agarwal ◽  
Nikhil Ladha ◽  
Mohit Agarwal ◽  
Kuntal Kr. Majee ◽  
Abhijit Das ◽  
...  
Keyword(s):  
Low Cost ◽  
Smart Glasses

scholarly journals Estimation of Pool Construction and Technical Error

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1091
Author(s):  
John Keele ◽  
Tara McDaneld ◽  
Ty Lawrence ◽  
Jenny Jennings ◽  
Larry Kuehn
Keyword(s):  
Low Cost ◽  
Genetic Evaluation ◽  
Technical Error ◽  
Pedigree Data ◽  
Phenotypic Data ◽  
Tissue Mass ◽  
Novel Traits ◽  
Extreme Phenotypes ◽  
Processing Plants ◽  
Average Contribution

Pooling animals with extreme phenotypes can improve the accuracy of genetic evaluation or provide genetic evaluation for novel traits at relatively low cost by exploiting large amounts of low-cost phenotypic data from animals in the commercial sector without pedigree (data from commercial ranches, feedlots, stocker grazing or processing plants). The average contribution of each animal to a pool is inversely proportional to the number of animals in the pool or pool size. We constructed pools with variable planned contributions from each animal to approximate errors with different numbers of animals per pool. We estimate pool construction error based on combining liver tissue, from pulverized frozen tissue mass from multiple animals, into eight sub-pools containing four animals with planned proportionality (1:2:3:4) by mass. Sub-pools were then extracted for DNA and genotyped using a commercial array. The extracted DNA from the sub-pools was used to form super pools based on DNA concentration as measured by spectrophotometry with planned contribution of sub-pools of 1:2:3:4. We estimate technical error by comparing estimated animal contribution using sub-samples of single nucleotide polymorphism (SNP). Overall, pool construction error increased with planned contribution of individual animals. Technical error in estimating animal contributions decreased with the number of SNP used.

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