Robustness and Accuracy Improvement of Data Processing with 2D Neutral Network for Transient Absorption Dynamics

2021 ◽  
Author(s):  
Ruixuan Zhao ◽  
Daxin Wu ◽  
Jiao Wen ◽  
Qi Zhang ◽  
Guganglei Zhang ◽  
...  
Keyword(s):  
Data Processing ◽  
Conventional Method ◽  
Transient Absorption ◽  
Neutral Network ◽  
Absorbance Spectrum ◽  
Accuracy Improvement ◽  
Transient Absorbance ◽  
Fitting Ability ◽  
Arbitrary Assumption

To achieve the goal of efficiently analyzing the transient absorbance spectrum without arbitrary assumption and to overcome the limitation of conventional method in fitting ability and highly noised background, it...

The Application of Fast Fourier Transform and Convolution Techniques to Picosecond Continuum Spectroscopy

1983 ◽  
Vol 37 (3) ◽  
pp. 273-279 ◽  
Author(s):  
K. L. Sala ◽  
R. W. Yip ◽  
R. LeSage
Keyword(s):  
Fourier Transform ◽  
Data Processing ◽  
Data Acquisition ◽  
Fast Fourier Transform ◽  
Experimental Technique ◽  
Transient Absorption ◽  
Computation Time ◽  
Spectroscopic Technique ◽  
Experimental Results ◽  
Data Acquisition And Processing

The use of the fast Fourier transform in the processing of photographic data obtained from picosecond continuum spectroscopy is described. The resulting reduction in the complexity and computation time has permitted all of the data acquisition and processing to be carried out with an eight-bit microcomputer. Specific examples of some key problems in the data processing that are peculiar to this spectroscopic technique and methods of overcoming these problems are discussed. Experimental results that serve to illustrate both the experimental technique itself as well as the versatility and reliability of the data processing algorithm are presented for the transient absorption of a Cr(III) complex in solutions.

An Improved Method on Telemetry Data Processing

2014 ◽  
Vol 610 ◽  
pp. 454-456
Author(s):  
Chun Hui He ◽  
Shi Bin Su ◽  
Kai Da Huang
Keyword(s):  
Data Processing ◽  
Qualitative Analysis ◽  
Conventional Method ◽  
Improved Method ◽  
Telemetry Data ◽  
Simulation Results ◽  
Better Than

In reference to telemetry data processing, an improved method is presented, which makes use of telemetry data that the conventional method abandons. Qualitative analysis is made to show the advantage of the improved method. Simulation results indicate that the improved method can obtain 1~3dB gain, better than the conventional method.

Improved Method of Data Processing for Flocculating Sedimentation Experiment

2012 ◽  
Vol 599 ◽  
pp. 340-343
Author(s):  
Yan Lin ◽  
Shu Wen Guo ◽  
Jing Hua Lin
Keyword(s):  
Data Processing ◽  
Removal Efficiency ◽  
Conventional Method ◽  
Present Method ◽  
New Method ◽  
Improved Method ◽  
Partial Removal

The shortages of the present method of data processing of flocculating sedimentation are pointed out and analyzed in this study. A new method of data processing is put forward and the advantages of this new method are discussed. Compared to the conventional method, the isolines of partial removal efficiency need not to be drawn when the new method is employed and the new method is straightforward, practical and accurate and it is worth to be popularized.

scholarly journals Aplikasi Database Pemakaian Komputer di Laboratorium Komputer Unika De La Salle Manado Berbasis Client-Server

2018 ◽  
Author(s):  
Gerardus Namsa ◽  
Junaidy Budi Sanger
Keyword(s):  
Data Processing ◽  
Conventional Method ◽  
Computer Usage ◽  
Computer Laboratory ◽  
Client Server ◽  
La Salle University

Listing of Computer Usage in De La Salle University Manado Computer Laboratory is still using the conventional method. Until this time, that method has felt efficient. But, if we look further along with data processing matter, the inefficiency can be seen. This Client-Server based Database of Computer Usage Application is designed on top of that. Hopefully this application could improve the control of the computer usage in computer laboratory and ease those kind of work.

scholarly journals An Accuracy Improvement Method Based on Multi-Source Information Fusion and Deep Learning for TSSC and Water Content Nondestructive Detection in “Luogang” Orange

Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 80
Author(s):  
Sai Xu ◽  
Huazhong Lu ◽  
Christopher Ference ◽  
Qianqian Zhang
Keyword(s):  
Deep Learning ◽  
Machine Vision ◽  
Data Processing ◽  
Water Content ◽  
Information Fusion ◽  
Nir Spectroscopy ◽  
Internal Quality ◽  
Source Information ◽  
Accuracy Improvement ◽  
Quality Detection

The objective of this study was to find an efficient method for measuring the total soluble solid content (TSSC) and water content of “Luogang” orange. Quick, accurate, and nondestructive detection tools (VIS/NIR spectroscopy, NIR spectroscopy, machine vision, and electronic nose), four data processing methods (Savitzky–Golay (SG), genetic algorithm (GA), multi-source information fusion (MIF), convolutional neural network (CNN) as the deep learning method, and a partial least squares regression (PLSR) modeling method) were compared and investigated. The results showed that the optimal TSSC detection method was based on VIS/NIR and machine vision data fusion and processing and modeling by SG + GA + CNN + PLSR. The R2 and RMSE of the TSSC detection results were 0.8580 and 0.4276, respectively. The optimal water content detection result was based on VIS/NIR data and processing and modeling by SG + GA + CNN + PLSR. The R2 and RMSE of the water content detection results were 0.7013 and 0.0063, respectively. This optimized method largely improved the internal quality detection accuracy of “Luogang” orange when compared to the data from a single detection tool with traditional data processing method, and provides a reference for the accuracy improvement of internal quality detection of other fruits.

A Study of Photoinduced Coherent Vibrations in Gold-Nanorod Dispersions

2020 ◽  
Vol 20 (7) ◽  
pp. 4557-4562
Author(s):  
Francesco Toschi ◽  
Daniele Catone ◽  
Lorenzo Di Mario ◽  
Patrick O’Keeffe ◽  
Alessandra Paladini ◽  
...  
Keyword(s):  
Transient Absorption ◽  
Gold Nanorod ◽  
Transient Absorption Spectroscopy ◽  
Visible Range ◽  
Plasmonic Sensors ◽  
Femtosecond Transient Absorption ◽  
Highly Sensitive ◽  
Plasmon Resonances ◽  
Oscillation Frequencies ◽  
Transient Absorbance

Upon photoexcitation with a femtosecond laser pulse, the plasmonic resonance of a nanorod can couple with coherent vibrational modes generating a regular oscillating pattern in the transient absorbance of the nanostructure. The dynamics of the plasmon resonances of these materials are probed through femtosecond transient absorption spectroscopy in the spectral region between 400 nm and 1600 nm. Whereas in the visible range the spectra are comparable with the findings reported in the literature, the analysis of the transient NIR spectra revealed that their oscillation frequencies vary with wavelength, resulting in a strong distortion of the transient features that can be related to the specific lengths distribution of the nanorods contained in the sample. These findings suggest that in the design of efficient and highly sensitive gold-nanorod based plasmonic sensors a narrow size distribution of nanostructures is required.

scholarly journals Pengaruh CAR, LDR, BOPO, dan KAP terhadap non performing loan BPR konvensional di Kota Batu sebelum dan setelah COVID-19

2021 ◽  
Vol 1 (9) ◽  
pp. 806-823
Author(s):  
Refo Putraseto ◽  
Imam Mukhlis
Keyword(s):  
Panel Data ◽  
Data Processing ◽  
Conventional Method ◽  
Significant Influence ◽  
Quantitative Research ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Before And After ◽  
The Impact ◽  
Analyze Data

This study aims to investigate the effects of CAR, LDR, BOPO, and KAP on conventional BPR NPLs in Batu City before and after COVID-19. This quantitative research employed panel data methods and descriptive analysis methods. The panel data method was used to analyze data before COVID-19 (2015-2019), while descriptive analysis was used to analyze data after COVID-19 (2020). The secondary data was also used in this study because the researchers took data in the form of official published reports obtained from the OJK official website and processed through the Eviews 9 application. Through data processing, the results showed that the CAR, LDR, and BOPO variables carries a significant influence on NPL in rural banks. Meanwhile, in conventional method in Batu City, the KAP variable does not have a significant effect on NPL. The results of descriptive analysis during the COVID-19 pandemic suggest that the NPL ratio in 2020 was above 5% and tends to increase. The increase in the NPL ratio in 2020 is because debtors have difficulty paying/paying off their obligations as a result of their declining income due to the impact of COVID-19 on various fields. Many people have been laid off, laid off, have their salaries cut, or sales have slowed as a result of COVID-19, so it affects them when they have installments at banks like conventional BPRs Abstrak Penelitian ini bertujuan untuk menganalisa pengaruh dari CAR, LDR, BOPO, dan KAP pada BPR NPLs konventional di Kota Batu, sebelum dan sesudah Covid-19. Penelitian ini menggunakan pendekatan kuantitative dengan metode data panel dan analisis deskriptif. Metode panel data digunakan untuk analisa data sebelum Covid-19 (2015-2019), sedangkan metode analisis deskriptif digunakan untuk menganalisa data setelah Covid-19 (2020). Selain itu, data sekunder juga digunakan karena penelitian ini menggunakan data dari laporan yang diterbitkan oleh OJK dan di analisa menggunakan aplikasi Eviews 9. Hasil dari analisa data menunjukan bahwa CAR, LDR, dan BOPO memberikan dampak yang signifikan kepada NPL pada bank-bank daerah. Sedangkan pada metode konvensional di Kota Batu, KAP tidak memberikan dampak yang signifikan pada NPLnya. Analisa descriptive pada masa Covid-19 menunjukkan bahwa rasio NPL pada tahun 2020 berada di atas 5% dan menunjukkan kecenderungan untuk naik. Kenaikan rasio NPL pada tahun 2020 disebabkan oleh ketidakmampuan para peminjam untuk memenuhi kewajiban mereka dikarenakan berkurangnya pendapatan mereka dikarenakan oleh Covid-19. Selain itu, banyaknya jumlah pekerja yang diberhentikan dari pekerjaan, mengalami pemotongan gaji, dan penurunan produksi dan penjualan karena Covid-19, mempengaruhi pelunasan cicilan pada bank, seperti konvensional BPR.

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