scholarly journals Rain Monitoring with Polarimetric GNSS Signals: Ground-Based Experimental Research

2019 ◽  
Vol 11 (19) ◽  
pp. 2293
Author(s):  
Hao An ◽  
Wei Yan ◽  
Shuangshuang Bian ◽  
Shuo Ma
Keyword(s):  
Phase Shift ◽  
Data Processing ◽  
Detection System ◽  
Experimental System ◽  
Weather Radar ◽  
Heavy Rain ◽  
Theoretical Research ◽  
Processing Algorithm ◽  
Data Processing Algorithm ◽  
Gps Satellites

In recent years, there has been a preliminary research on monitoring rainfall information based on polarimetric Global Navigation Satellite System (GNSS) signals, which is a quite novel concept. After previous theoretical research on monitoring rain based on polarimetric phase shift of GNSS signals, the paper aims to detect rain using polarimetric GNSS signals from a ground-based experiment. Firstly, a conical horn antenna specially designed for receiving dual-polarized (H, horizontal, and V, vertical) GNSS signals was developed, and an experimental system for polarimetric GNSS rain detection was built. Then, taking Global Positioning System (GPS) satellites as signal source, a ground-based experiment was carried out at a mountain in Nanjing, where heavy rain tends to occur frequently in rainy season. Additionally, a data processing algorithm mainly following Padullés et al. (2016) to solve the problems of quality control, unlocking, hardware effect, phase ambiguity, multipath effect was applied independently to this ground-based data from the polarimetric GNSS rain detection system. Also, the multi-source data from nearby weather radar and weather stations was used for verification. Results from 14 GPS satellites show that the obtained phase shift is zero in all no-rain days while it is not zero during rainy days, which is in accordance with the actual situation. Compared with weather radar and rain gauges’ data, the results verify that the phase shift is caused by rain. Besides, when individual cases are examined, many show that their tendencies of accumulated phase shift are quite similar to that of a weather station’s rainfall data, even some correlation coefficients are up to 0.99. These demonstrate the reliability of our experimental system and the feasibility of the data processing algorithm. This study will provide technical support for future spaceborne experiment, which has promising applications in global rain monitoring.

Improvement and Application of qPCR (Real-Time Quantitative Polymerase Chain Reaction) Data Processing Method for Home-Made Integrated Nucleic Acid Detection System

2020 ◽  
Vol 20 (12) ◽  
pp. 7369-7375
Author(s):  
Yile Fang ◽  
Pei Liao ◽  
Zhu Chen ◽  
Hui Chen ◽  
Yanqi Wu ◽  
...  
Keyword(s):  
Nucleic Acid ◽  
Data Processing ◽  
Real Time ◽  
Detection System ◽  
Disease Diagnosis ◽  
Processing Algorithm ◽  
Clinical Samples ◽  
Nucleic Acid Detection ◽  
Qpcr Data ◽  
Data Processing Algorithm

Because it has many advantages such as rapidity and accuracy, nucleic acid detection is applied to infectious disease diagnosis more and more. An automatic integrated nucleic acid detection system based on real-time PCR is developed by our research group to conduct point-of-care testing of infectious pathogens. The home-made detection system collects fluorescence data in each PCR cycle through an integrated dual-channel fluorescence detection module and then real-time fluorescence curves are drawn by the software, which can tell the results of the diagnostics after some processing and analysis. However, owing to the disturbance of the environment or the imperfect of nucleic acid extraction before PCR, the fluorescence curves sometimes may contain several abnormal points. For the purpose of enhancing its ability to deal with these iffy curves and improve the accuracy of the testing results, in this study, the SDM-based qPCR data processing algorithm was studied and 11 groups of qPCR data that have different flaws from the clinical samples detected by this system were chosen to prove the practicability of the method. In comparison with the conventional threshold-based method, the Cq values calculated by the SDM-based method were more close to the actual values, meaning it can overcome the shortcomings of the conventional methods such as being unable to accommodate noise and being unable to avoiding abnormal data. With the improvement of this data processing algorithm, the stability of our system and the reliability and accuracy of the results are greatly improved.

The PPP data processing algorithm to create geodetic networks

2021 ◽  
pp. 464-468
Author(s):  
A.D. Tikhonov ◽  
A.A. Kochiev
Keyword(s):  
Data Processing ◽  
Processing Algorithm ◽  
Navigation Systems ◽  
Geodetic Networks ◽  
Data Processing Algorithm ◽  
Global Navigation ◽  
Global Navigation Systems

The article deals with determination of coordinates using global navigation systems, and application of the PPP data processing algorithm to obtain coordinates. The authors conducted an experiment illustrating the algorithm accuracy.

Exposure to arsenic and intra-chromosomal instability in blood

Metallomics ◽  
2014 ◽  
Vol 6 (8) ◽  
pp. 1387-1389
Author(s):  
Tomasz K. Wojdacz ◽  
Matteo Bottai ◽  
Marie Vahter ◽  
Karin Broberg
Keyword(s):  
Data Processing ◽  
Copy Number ◽  
Chromosomal Instability ◽  
Processing Algorithm ◽  
Copy Number Alterations ◽  
Data Processing Algorithm ◽  
Infinium Humanmethylation450 Beadchip ◽  
Illumina Infinium Humanmethylation450 Beadchip ◽  
Chip Analysis

The 450k Chip Analysis Methylation Pipeline (ChAMP) is a novel Illumina Infinium HumanMethylation450 BeadChip data processing algorithm that allows the analysis of copy number alterations (CNAs).

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