scholarly journals All-optical flow control of a polariton condensate using nonresonant excitation

2015 ◽  
Vol 91 (19) ◽  
Author(s):  
Johannes Schmutzler ◽  
Przemyslaw Lewandowski ◽  
Marc Aßmann ◽  
Dominik Niemietz ◽  
Stefan Schumacher ◽  
...  
Keyword(s):  
Flow Control ◽  
Optical Flow ◽  
Nonresonant Excitation ◽  
All Optical

scholarly journals No Evidence That Frontal Optical Flow Affects Perceived Locomotor Speed and Locomotor Biomechanics When Running on a Treadmill

2019 ◽  
Vol 9 (21) ◽  
pp. 4589 ◽  
Author(s):  
Martina Caramenti ◽  
Claudio L. Lafortuna ◽  
Elena Mugellini ◽  
Omar Abou Khaled ◽  
Jean-Pierre Bresciani ◽  
...  
Keyword(s):  
Optical Flow ◽  
Treadmill Running ◽  
Flow Conditions ◽  
Running Speed ◽  
Perceived Effort ◽  
Treadmill Speed ◽  
Gait Parameters ◽  
All Optical ◽  
Accommodation Process ◽  
Healthy Participants

We investigated how the presentation and the manipulation of an optical flow while running on a treadmill affect perceived locomotor speed (Experiment 1) and gait parameters (Experiment 2). In Experiment 1, 12 healthy participants were instructed to run at an imposed speed and to focus on their sensorimotor sensations to be able to reproduce this running speed later. After a pause, they had to retrieve the reference locomotor speed by manipulating the treadmill speed while being presented with different optical flow conditions, namely no optical flow or a matching/slower/faster optical flow. In Experiment 2, 20 healthy participants ran at a previously self-selected constant speed while being presented with different optical flow conditions (see Experiment 1). The results did not show any effect of the presence and manipulation of the optical flow either on perceived locomotor speed or on the biomechanics of treadmill running. Specifically, the ability to retrieve the reference locomotor speed was similar for all optical flow conditions. Manipulating the speed of the optical flow did not affect the spatiotemporal gait parameters and also failed to affect the treadmill running accommodation process. Nevertheless, the virtual reality conditions affected the heart rate of the participants but without affecting perceived effort.

scholarly journals Low latency and efficient optical flow control for intra data center networks

2014 ◽  
Vol 22 (1) ◽  
pp. 427 ◽  
Author(s):  
Wang Miao ◽  
Stefano Di Lucente ◽  
Jun Luo ◽  
Harm Dorren ◽  
Nicola Calabretta
Keyword(s):  
Flow Control ◽  
Optical Flow ◽  
Data Center ◽  
Low Latency ◽  
Data Center Networks

scholarly journals Utilization of Optical Flow Algorithms to Monitor Development of Tail Biting Outbreaks in Pigs

Animals ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 323 ◽  
Author(s):  
Yuzhi Z. Li ◽  
Lee J. Johnston ◽  
Marian S. Dawkins
Keyword(s):  
Body Weight ◽  
Optical Flow ◽  
Time Budget ◽  
Initial Body Weight ◽  
Tail Biting ◽  
Promising Tool ◽  
All Optical ◽  
Mean Variance ◽  
Monitoring Activity ◽  
Skewness And Kurtosis

A study was conducted to evaluate activity changes in pigs associated with the development of tail-biting outbreaks using optical flow algorithms. Pigs (n = 120; initial body weight = 25 ± 2.9 kg) housed in four pens of 30 pigs were studied for 13 weeks. Outbreaks of tail biting were registered through daily observations. Behavior of pigs in each pen was video-recorded. Three one-hour video segments, representing morning, noon, and afternoon on days 10, 7, and 3 before and during the first outbreak of tail biting were scanned at 5-min intervals to estimate time budget for lying, standing, eating, drinking, pig-directed behavior, and tail biting. The same video segments were analyzed for optical flow. Mean optical flow was higher three days before and during the tail-biting outbreak, compared to 10 days before the outbreak (p < 0.05), suggesting that pigs may increase their activity three days before tail-biting outbreaks. All optical flow measures (mean, variance, skewness, and kurtosis) were correlated (all p < 0.01) with time spent standing, indicating that movement during standing may be associated with optical flow measures. These results suggest that optical flow might be a promising tool for automatically monitoring activity changes to predict tail-biting outbreaks in pigs.

Correlation analysis of radiation damage

1978 ◽  
Vol 36 (1) ◽  
pp. 214-215
Author(s):  
R. Hegerl ◽  
A. Feltynowski ◽  
B. Grill
Keyword(s):  
Electron Microscopy ◽  
Independent Random Variables ◽  
Optical Parameters ◽  
Bright Field Image ◽  
Bright Field ◽  
Expectation Value ◽  
All Optical ◽  
Image Element ◽  
Stochastic Series ◽  
The Common

Till now correlation functions have been used in electron microscopy for two purposes: a) to find the common origin of two micrographs representing the same object, b) to check the optical parameters e. g. the focus. There is a third possibility of application, if all optical parameters are constant during a series of exposures. In this case all differences between the micrographs can only be caused by different noise distributions and by modifications of the object induced by radiation.Because of the electron noise, a discrete bright field image can be considered as a stochastic series Pm,where i denotes the number of the image and m (m = 1,.., M) the image element. Assuming a stable object, the expectation value of Pm would be Ηm for all images. The electron noise can be introduced by addition of stationary, mutual independent random variables nm with zero expectation and the variance. It is possible to treat the modifications of the object as a noise, too.

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