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
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;
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
DOI :
10.1109/ICCAE.2010.5451898
