Name
Title | ||
|---|---|---|
Development of Seawater Temperature Announcement System for Quick and Accurate Red Tide Estimation. |
Abstract | ||
|---|---|---|
Fisheries researchers who predict the occurrence of red tides want to be able to visualize the seawater temperature information measured using the marine buoy in a form that can be handled easily for researchers in order to improve the prediction accuracy. In this research, we develop a system to visualize measured seawater temperature information. In the system, it is possible to display latest seawater temperature information and time change of seawater temperature in the form of tables and graphs by using a web application. In addition, it is possible to download the sea water temperature information collected in the past into the csv format file. With this system, researchers can predict the occurrence of red tide at an early stage because seawater temperature information becomes easier to handle. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-319-76081-0_21 | Studies in Computational Intelligence |
Field | DocType | Volume |
Data mining,Buoy,Graph,Computer science,Seawater,Web application,Marine engineering,Red tide | Conference | 769 |
ISSN | Citations | PageRank |
1860-949X | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Agusa | 1 | 0 | 1.01 |
| Takuya Fujihashi | 2 | 34 | 11.65 |
| Keiichi Endo | 3 | 8 | 6.07 |
| Hisayasu Kuroda | 4 | 0 | 1.01 |
| Shin-ya Kobayashi | 5 | 3 | 3.77 |