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Uwb microwave data acquisition/Chung Sze Hog

Uwb microwave data acquisition_Chung Sze Hog_E3_2013_NI
Secara umumnya, ia adalah cara mudah bagi manusia untuk mengukur dan merekod data secara manual berbandingkan dengan memprogramkan sistem pengukuran DAQ automatic yang baru. Perkara in benar tetapi jika jumlah parameter adalah banyak dan juga jika data yang berbeza dengan cepat, ukuran dan tugas merekod data akan menjadi sukar. Dalam kes ini, sistem ukuran automatik amat diperlukan. Dalam laporan ini, satu sistem pengukuran automatik diprogram dengan menggunakan LabView untuk merekod data dari multiplexer dan VNA untuk aplikasi UWB microwave seperti pengimejan melalui dinding (TWI), pengesanan kanser payudara dan lain-lain. Data yang dikumpul dari ukuran DAQ automatik kemudiannya dibandingkan dengan data yang dikumpul secara manual untuk memeriksa ketepatan. ___________________________________________________________________________________ Total automated measurement systems create an ease life for human being. Generally, it is much easier for human to measure and record data manually compared to develop an automatic measurement DAQ system. However if an enormous number of parameters have to be observed and also if they are varying fast, measurement and recording task will be tough. In this case, automated DAQ measurement system is needed. In this paper, an automated measurement system is created using LabView for data acquisition for multiplexer and VNA for UWB microwave application such as through wall imaging (TWI), breast cancer detection and other. Data collected by automated DAQ measurement is then compared to data collected manually for accuracy checking.
Contributor(s):
Chung Sze Hog - Author
Primary Item Type:
Final Year Project
Language:
English
Subject Keywords:
human ; breast cancer ; DAQ measurement
First presented to the public:
6/1/2013
Original Publication Date:
2/19/2020
Previously Published By:
Universiti Sains Malaysia
Place Of Publication:
School of Electrical & Electronic Engineering
Citation:
Extents:
Number of Pages - 54
License Grantor / Date Granted:
  / ( View License )
Date Deposited
2020-02-19 12:45:55.283
Submitter:
Nor Hayati Ismail

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