Hydrooptical laser sensing of fish schools

2017 ◽  
Author(s):  
Vitalii S. Shamanaev
Keyword(s):  
Fish Schools ◽  
Laser Sensing

Numerical evaluation of the possibilities of remote laser sensing of fish schools

1994 ◽  
Vol 33 (24) ◽  
pp. 5715 ◽  
Author(s):  
Margarita M. Krekova ◽  
Georgiy M. Krekov ◽  
Ignatiy V. Samokhvalov ◽  
Vitaliy S. Shamanaev
Keyword(s):  
Numerical Evaluation ◽  
Fish Schools ◽  
Laser Sensing

NON-CONTACT SOUNDNESS EVALUATION FOR CONCRETE STRUCTURES BY LASER SENSING SYSTEM

2018 ◽  
Vol 74 (1) ◽  
pp. 58-69
Author(s):  
Naotoshi YASUDA ◽  
Norikazu MISAKI ◽  
Yoshinori SHIMADA ◽  
Shigeo EMOTO ◽  
Michihiro KANEDA ◽  
...  
Keyword(s):  
Concrete Structures ◽  
Sensing System ◽  
Laser Sensing

scholarly journals Zebrafish automatic monitoring system for conditioning and behavioral analysis

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Marta de Oliveira Barreiros ◽  
Felipe Gomes Barbosa ◽  
Diego de Oliveira Dantas ◽  
Daniel de Matos Luna dos Santos ◽  
Sidarta Ribeiro ◽  
...  
Keyword(s):  
Video Processing ◽  
Red Light ◽  
Automatic Monitoring ◽  
Automated System ◽  
Control Group ◽  
Automatic Monitoring System ◽  
Fish Schools ◽  
Detection And Tracking ◽  
Evaluation Strategies ◽  
Light Stimuli

AbstractStudies using zebrafish (Danio rerio) in neuro-behavioural research are growing. Measuring fish behavior by computational methods is one of the most efficient ways to avoid human bias in experimental analyses, extending them to various approaches. Sometimes, thorough analyses are difficult to do, as fish can behave unpredictably during an experimental strategy. However, the analyses can be implemented in an automated way, using an online strategy and video processing for a complete assessment of the zebrafish behavior, based on the detection and tracking of fish during an activity. Here, a fully automatic conditioning and detailed analysis of zebrafish behavior is presented. Microcontrolled components were used to control the delivery of visual and sound stimuli, in addition to the concise amounts of food after conditioned stimuli for adult zebrafish groups in a conventional tank. The images were captured and processed for automatic detection of the fish, and the training of the fish was done in two evaluation strategies: simple and complex. In simple conditioning, the zebrafish showed significant responses from the second attempt, learning that the conditioned stimulus was a predictor of food presentation in a specific space of the tank, where the food was dumped. When the fish were subjected to two stimuli for decision-making in the food reward, the zebrafish obtained better responses to red light stimuli in relation to vibration. The behavior change was clear in stimulated fish in relation to the control group, thus, the distances traveled and the speed were greater, while the polarization was lower in stimulated fish. This automated system allows for the conditioning and assessment of zebrafish behavior online, with greater stability in experiments, and in the analysis of the behavior of individual fish or fish schools, including learning and memory studies.

MODELING THE DISTRIBUTION OF FISH SCHOOLS IN THE BERING SEA: MORPHOLOGICAL SCHOOL IDENTIFICATION

1994 ◽  
Vol 8 (2) ◽  
pp. 177-194 ◽  
Author(s):  
Gordon Swartzman ◽  
Werner Stuetzle ◽  
Kristin Kulman ◽  
Nuan Wen
Keyword(s):  
Bering Sea ◽  
Fish Schools ◽  
School Identification ◽  
Distribution Of Fish ◽  
The Bering Sea

Measurements of sea surface slopes by laser sensing from a space vehicle

2017 ◽  
Vol 72 (4) ◽  
pp. 410-414 ◽  
Author(s):  
K. V. Pokazeev ◽  
A. S. Zapevalov ◽  
K. E. Lebedev
Keyword(s):  
Space Vehicle ◽  
Sea Surface ◽  
Surface Slopes ◽  
Laser Sensing ◽  
Sea Surface Slopes

Selforganization of fish schools: an object-oriented model

1994 ◽  
Vol 75-76 ◽  
pp. 147-159 ◽  
Author(s):  
Hauke Reuter ◽  
Broder Breckling
Keyword(s):  
Object Oriented ◽  
Fish Schools
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