DocumentCode
2167232
Title
Design of microscopic image diagnosis system basedon MVC model and J2EE platform
Author
Lv, Liang ; Ji, Guangrong ; Guo, Chunfeng ; Gao, Xiang
Author_Institution
Dept. of Electron. Eng., Ocean Univ. of China, Qingdao, China
Volume
1
fYear
2010
fDate
26-28 Feb. 2010
Firstpage
505
Lastpage
507
Abstract
This paper discusses the current status of harmful algal blooms diagnosis and points out some of defects: time consuming and laborious. This paper described how to apply J2EE platform to forming an exact and efficient microscopic image diagnosis system of harmful algal blooms based on MVC model and by the technologies such as JSP, Servlets, EJB, JDBC etc..
Keywords
Java; biology computing; image processing; microorganisms; EJB; J2EE platform; JDBC; JSP; MVC model; Servlets; harmful algal blooms diagnosis; microscopic image diagnosis system; Computerized monitoring; Design engineering; Electronic mail; Marine technology; Microscopy; Oceans; Organisms; Real time systems; Sea measurements; Tides; J2EE; MVC; harmful algal blooms; microscopic image; red ride phytoplankton identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-5585-0
Electronic_ISBN
978-1-4244-5586-7
Type
conf
DOI
10.1109/ICCAE.2010.5451898
Filename
5451898
Link To Document