Hydrographic data analysis【Instructor: UENO】

The Oshoro Maru, a training ship attached to theSchool of Fisheries Sciences, has conducted numerous oceanographic observations. Among them, the observation of the 155°E north-south line has been conducted continuously since the 1980s, and its data is very valuable for understanding long-term changes in the ocean area east of Honshu. In this experiment, using the Oshoro Maru 155°E observation as an example, you will learn how to analyze data to investigate spatio-temporal variations in the interior of the ocean from ocean observation data.

Example of data obtained from the Oshoro Maru oceanographic observation in May 2006


Fisheries information engineering, computational fluid dynamics【Instructor: YASUMA, TAKAHASHI

〜Visualization of flow fields occurring in a breeding tank

In aquaculture production, it is known that mass die-offs can occur depending on the setting of water flow, since the swimming ability of fish when they are juveniles is poor and easily affected by the flow field in the tank. In this experiment, the flow in the aquaculture tank, which cannot be confirmed visually, will be analyzed using CFD (Computational Fluild Dynamics) analysis and visualization experiments.

Flow visualization experiment of a breeding tank model

Simulation of flow field in a breeding tank model by CFD analysis


Image processing for behavioral measurement【Instructor: KOMEYAMA】

Among the many methods of behavioral measurement, this course focuses on behavioral measurement using image processing, which is non-contact and non-intrusive to the target fish, and learns how to detect and track the position of fish (moving objects) by performing image processing of video and image data.

Figure

The position of fish can be detected and traced for each frame of video using image processing to automatically plot their movement trajectory. Analysis of the movement trajectory enables the user to determine swimming speed, curvature, distance from the tank wall, etc., and to understand behavior patterns.

Terakhir diubah: Jumat, 28 Juli 2023, 10:35