Towards Making Regional Issues of Marine Resources a Teaching and Learning Material

Hiroshima Bay has been developing marine resources sustainably by fish farming and oyster culture. Black seabream had been one of these farming. It is recently seemed as a harmful one and a regional issue. The management of marine resources is very important but hard tasks. In order to manage sustainably them, marine data is collected and provided to fishery workers. But it is also useful for local residents and people in general to know the regional issue subjectively. In this paper, we propose an idea to make the regional issue a teaching and learning material (TLM) systematically and efficiently.

[1]  Ali Farhadi,et al.  You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[2]  Kuntz Werner,et al.  Issues as Elements of Information Systems , 1970 .

[3]  Chunming Gao,et al.  Preliminary Study of Haptic Media for Future Digital Textbooks , 2019, IMCOM.

[4]  H. Saito,et al.  Effect of predation of fishes on oyster spats in Hiroshima Bay [Japan] , 2008 .

[5]  Moulay A. Akhloufi,et al.  Deep Learning for Marine Resources Classification in Non-Structured Scenarios: Training vs. Transfer Learning , 2018, 2018 IEEE Canadian Conference on Electrical & Computer Engineering (CCECE).

[6]  Chunming Gao,et al.  Effects of quizzes in marking supported e-learning , 2017, IMCOM.

[7]  Guang Chen,et al.  Automatic Fish Classification System Using Deep Learning , 2017, 2017 IEEE 29th International Conference on Tools with Artificial Intelligence (ICTAI).