Parameter Extraction Methods of Thin Film Photovoltaic Panel using Five Enhanced Models

2017 ◽  
Author(s):  
Ilham Nassar-Eddine ◽  
Karima Et-Torabi ◽  
Redouane Rmaily ◽  
Abdel ilah Fake ◽  
Abdellatif Obbadi ◽  
...  
Keyword(s):  
Thin Film ◽  
Parameter Extraction ◽  
Extraction Methods ◽  
Photovoltaic Panel

Extraction of Mogroside and Limonin with Different Extraction Methods and its Modeling

2012 ◽  
Vol 8 (2) ◽  
Author(s):  
Jing Liu ◽  
Can Liu ◽  
Yonghai Rong ◽  
Long Rong
Keyword(s):  
Thin Film ◽  
Natural Products ◽  
Mass Production ◽  
Extraction Process ◽  
Extraction Methods ◽  
Ultrasonic Extraction ◽  
Citrus Reticulata ◽  
Comparison Of Methods ◽  
Economical Method ◽  
Siraitia Grosvenorii

The extraction yields of mogroside from Siraitia grosvenorii fruits and limonin from orange (Citrus reticulata Blanco) seeds were compared with different extraction methods, respectively. Maceration extraction, stirring extraction, ultrasonic extraction and flash extraction were used for the extraction. The extraction process was modeled using the concept of thin film which provides the resistance to transfer. The results showed that the maximum yields of mogroside (4.11%) and limonin (0.65%) were obtained by ultrasonic extraction and flash extraction respectively. Owing to its shorter extraction time, flash extraction would be an economical method for the mass production of triterpenes from natural products. The model was found to be fit for the comparison of methods for the extraction and provided good correlation of the data. The model could be mainly used in the practical extraction process.

Open quantum system parameters for light harvesting complexes from molecular dynamics

2015 ◽  
Vol 17 (38) ◽  
pp. 25629-25641 ◽  
Author(s):  
Xiaoqing Wang ◽  
Gerhard Ritschel ◽  
Sebastian Wüster ◽  
Alexander Eisfeld
Keyword(s):  
Molecular Dynamics ◽  
Quantum System ◽  
Open Quantum System ◽  
Light Harvesting ◽  
Parameter Extraction ◽  
Extraction Methods ◽  
Light Harvesting Complexes ◽  
System Parameters ◽  
Open Quantum ◽  
The Difference

We elucidate the difference between various parameter extraction methods and demonstrate sensitivity to molecular dynamics equilibration.

scholarly journals DC Characterization and Fast Small-Signal Parameter Extraction of Organic Thin Film Transistors With Different Geometries

2020 ◽  
Vol 41 (10) ◽  
pp. 1512-1515
Author(s):  
August Arnal ◽  
Albert Crespo-Yepes ◽  
Eloi Ramon ◽  
Lluis Teres ◽  
Rosana Rodriguez ◽  
...  
Keyword(s):  
Thin Film ◽  
Thin Film Transistors ◽  
Parameter Extraction ◽  
Organic Thin Film Transistors ◽  
Small Signal ◽  
Organic Thin Film ◽  
Signal Parameter ◽  
Dc Characterization

Analysis of Electrocardiogram Data Compression Techniques

2020 ◽  
pp. 930-970
Author(s):  
Anukul Pandey ◽  
Barjinder Singh Saini ◽  
Butta Singh ◽  
Neetu Sood
Keyword(s):  
Performance Evaluation ◽  
Performance Measures ◽  
Parameter Extraction ◽  
Extraction Methods ◽  
Walsh Transform ◽  
Ecg Compression ◽  
And Performance ◽  
Electrocardiogram Ecg ◽  
Ecg Database ◽  
Ecg Data

In this Chapter, a MATLAB-based approach is presented for compression of Electrocardiogram (ECG) data. The methodology employs in three different domains namely direct, transformed and parameter extraction methods. The selected techniques from direct ECG compression methods are TP, AZTEC, Fan, and Cortes. Moreover selected techniques from transformed ECG compression methods are Walsh Transform, DCT, and Wavelet transform. For each of the technique, the basic implementation of the algorithm was explored, and performance measures were calculated. All 48 records of MIT-BIH arrhythmia ECG database were employed for performance evaluation of various implemented techniques. Moreover, based on requirements, any basic techniques can be selected for further innovative processing that may include the lossless encoding.

Organic Thin-Film Transistors: Part II—Parameter Extraction

2009 ◽  
Vol 56 (12) ◽  
pp. 2962-2968 ◽  
Author(s):  
M. Jamal Deen ◽  
Ognian Marinov ◽  
Ute Zschieschang ◽  
Hagen Klauk
Keyword(s):  
Thin Film ◽  
Thin Film Transistors ◽  
Parameter Extraction ◽  
Organic Thin Film Transistors ◽  
Organic Thin Film

scholarly journals A Review for Compact Model of Thin-Film Transistors (TFTs)

Micromachines ◽  
2018 ◽  
Vol 9 (11) ◽  
pp. 599 ◽  
Author(s):  
Nianduan Lu ◽  
Wenfeng Jiang ◽  
Quantan Wu ◽  
Di Geng ◽  
Ling Li ◽  
...  
Keyword(s):  
Thin Film ◽  
Circuit Design ◽  
Surface Potential ◽  
Radio Frequency Identification ◽  
Thin Film Transistors ◽  
Parameter Extraction ◽  
Theoretical Description ◽  
Compact Model ◽  
Compact Models ◽  
Identification Tags

Thin-film transistors (TFTs) have grown into a huge industry due to their broad applications in display, radio-frequency identification tags (RFID), logical calculation, etc. In order to bridge the gap between the fabrication process and the circuit design, compact model plays an indispensable role in the development and application of TFTs. The purpose of this review is to provide a theoretical description of compact models of TFTs with different active layers, such as polysilicon, amorphous silicon, organic and In-Ga-Zn-O (IGZO) semiconductors. Special attention is paid to the surface-potential-based compact models of silicon-based TFTs. With the understanding of both the charge transport characteristics and the requirement of TFTs in organic and IGZO TFTs, we have proposed the surface-potential-based compact models and the parameter extraction techniques. The proposed models can provide accurate circuit-level performance prediction and RFID circuit design, and pass the Gummel symmetry test (GST). Finally; the outlook on the compact models of TFTs is briefly discussed.

Comparative study on extraction methods of threshold voltage for thin‐film transistors

2019 ◽  
Vol 27 (12) ◽  
pp. 816-821
Author(s):  
Ziheng Bai ◽  
Xuewen Shi ◽  
Jiawei Wang ◽  
Nianduan Lu ◽  
Xinlv Duan ◽  
...  
Keyword(s):  
Thin Film ◽  
Comparative Study ◽  
Threshold Voltage ◽  
Thin Film Transistors ◽  
Extraction Methods
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