Development of Real-Time Precipitable Water Vapor Monitoring System

被引：0
|
作者：
Suparta, Wayan [1 ]
Alhasa, Kemal Maulana [1 ]
机构：
[1] Univ Kebangsaan Malaysia, Inst Space Sci ANGKASA, Bangi 43600, Selangor Darul, Malaysia
来源：
PROCEEDINGS OF 2013 3RD INTERNATIONAL CONFERENCE ON INSTRUMENTATION, COMMUNICATIONS, INFORMATION TECHNOLOGY, AND BIOMEDICAL ENGINEERING (ICICI-BME) | 2013年
关键词：
Development; PWV; ANFIS model; Matlab (TM); LabView; GPS METEOROLOGY;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
The development of a real-time system to monitor the precipitable water vapor (PWV) using surface meteorological data as the input is reported in this paper. The PWV value is estimated using the, adaptive neuro fuzzy inference system (ANFIS) model that was generated using the Matlab (TM) software. The input of the model was taken based on the data measured by the meteorological sensors (surface pressure, temperature and relative humidity) that was included in the system. The system is developed by using the LabVIEW program at the Universiti Kebangsaan Malaysia (UKM). The system has been tested and can be operated very well under windows based platform.
引用
收藏
页码：135 / 140
页数：6
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