Airborne Multiwavelength Microwave Imaging Sensor

Author(s):  
I.V. Cherny ◽  
A.G. Fimov ◽  
G.Y. Gus'kov ◽  
N.N. Gorobetz ◽  
O.P. Ivanov ◽  
...  
Materials ◽  
2015 ◽  
Vol 8 (8) ◽  
pp. 4631-4651 ◽  
Author(s):  
Md. Islam ◽  
Mohammad Islam ◽  
Mohammad Faruque ◽  
Md. Samsuzzaman ◽  
Norbahiah Misran ◽  
...  

Sensors ◽  
2015 ◽  
Vol 15 (5) ◽  
pp. 11601-11627 ◽  
Author(s):  
Mohammad Islam ◽  
Md. Islam ◽  
Md. Samsuzzaman ◽  
Mohammad Faruque ◽  
Norbahiah Misran

Author(s):  
Ashish V. Saywan ◽  
A. P. Deshpande ◽  
Malu Dandi ◽  
Sonali Damle

Understanding of cotton quality is important in order to properly identify the moisture content .Measurement of moisture is difficult particularly at harvest and through the gin, because of the influence these processes have different fibre quality. Dry cotton can be harvested cleanly and efficiently but may suffer undue damage in the gin. On the other hand harvesting and ginning wet cotton leads to significant issues in processing and quality. A number of methods are used to measure moisture in seed cotton, lint and fuzzy seed, each has its varying advantages. A moisture variation of the bales that is not monitored from the outside of the bale. This research examines a new microwave imaging technique to view the internal moisture variations of cotton bale. Tests on the developed imaging sensor showed the ability to resolve small structures of parameters, against a low standard background, that were less than 1 cm in width. The accuracy of the sensing structure was also shown to provide the ability to accurately determine parameter standards. A preliminary test of the imaging capabilities on a wet commercial bale showed the technique was able to accurately image and determines the location of the wet layer within the bale.


Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2949 ◽  
Author(s):  
Mohammad Islam ◽  
Md. Ullah ◽  
Touhidul Alam ◽  
Mandeep Singh ◽  
Mengu Cho

Microwave imaging is the technique to identify hidden objects from structures using electromagnetic waves that can be applied in medical diagnosis. The change of dielectric property can be detected using microwave antenna sensor, which can lead to localization of abnormality in the human body. This paper presents a stacked type modified Planar Inverted F Antenna (PIFA) as microwave imaging sensor. Design and performance analysis of the sensor antenna along with computational and experimental analysis to identify concealed object has been investigated in this study. The dimension of the modified PIFA radiating patch is 40 × 20 × 10 mm3. The reflector walls used, are 45 mm in length and 0.2-mm-thick inexpensive copper sheet is considered for the simulation and fabrication which addresses the problems of high expenses in conventional patch antenna. The proposed antenna sensor operates at 1.55–1.68 GHz where the maximum realized gain is 4.5 dB with consistent unidirectional radiation characteristics. The proposed sensor antenna is used to identify tumor in a computational human tissue phantom based on reflection and transmission coefficient. Finally, an experiment has been performed to verify the antenna’s potentiality of detecting abnormality in realistic breast phantom.


2015 ◽  
Vol 74 (20) ◽  
pp. 1793-1801
Author(s):  
Sidi Mohammed Chouiti ◽  
Lotfi Merad ◽  
Sidi Mohammed Meriah ◽  
Xavier Raimundo

Author(s):  
Renato Cicchetti ◽  
Valentina Cicchetti ◽  
Sandra Costanzo ◽  
Paolo D'Atanasio ◽  
Alessandro Fedeli ◽  
...  

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