An Efficient Computational Model for Assessing the Stability Characteristics of Electro-active Natural Bio-resources

2020 ◽  
Vol 13 (4) ◽  
pp. 771-780
Author(s):  
Divyanshu Jhawar ◽  
Pranshu Sharma ◽  
Abhishek Sharma ◽  
Kathiravan Srinivasan ◽  
Bor-Yann Chen
Keyword(s):  
Microbial Fuel Cells ◽  
Research Work ◽  
Similarity Index ◽  
Structural Similarity ◽  
Research Area ◽  
Index Method ◽  
Work Related ◽  
Characteristics Analysis ◽  
Comparative Results ◽  
The Stability

Background: The properties of the natural bio-sensors as the fuel after treatment, is beneficial and considered as the most environmental friendly alternative. The microbial fuel cell will help in the bio electricity generation. To use them first, it is important to know the stability and the characteristics of such organic compound. The research presents the computational methods of assessment of stability and characteristics analysis of organic herbs, Syzygium and Citrus. Objective: MFC has a very vast research area and many scientists are rigorously working on MFCs. Here, we have explained research work related to what we have presented in the paper. Methods: To compute the stability of these microbial fuel cells, we have used two different methods on each herb, Structural Similarity Index Method (SSIM) and Graph Comparison using their Coordinates (GCC). Results: This research work provides the results of convergence towards the stability of herbs. Further, this section also presents the performance characteristics of the software algorithms and their comparative results to verify the outcomes of the herb characteristics using both methods. Conclusion: The proposed work is efficient in finding stability of MFCs on the selected herbs. The approach should work fine on other herbs as well. Machine Learning could have been much useful for this purpose if the availability of the data would have been much high.

Hydrochemistry Research of Intercrystalline with Pore Brine and Pre-3D Modelling of Heibeiwadi Brine Deposit

2018 ◽  
Vol 783 ◽  
pp. 170-175
Author(s):  
Huang Song
Keyword(s):  
Phase Diagram ◽  
Qaidam Basin ◽  
Central Area ◽  
Research Area ◽  
3D Modelling ◽  
Salting Out ◽  
Characteristics Analysis ◽  
Water Salt ◽  
The Stability ◽  
Brine Layer

Intercrystalline and pore brine develop extensively in the Heibewadi research area which is located at south foot of Altun mountain of Qaidam basin. In central area, intercrystalline brine’s depths range from 5m to 90m. In northwest, south area and central deeper area, pore brine develops under intercrystalline brine layer. The 2 types of aquifers have strong yield property, TDS is 200-350g/l with average of 276g/l. Main salt compound can be mined out economically. According to analysis result of intercrystalline brine, TDS, Cl-, Na+, K+, Mg2+, Li+ irons’ grades are very steady. That mean intercrystalline brine exist in the water-salt system under balance. Only the stability of Ca2+ and SO42- are slightly poor. According the Kurtosis characteristics analysis, Ca2+, SO42- are no-normal positively platykurtic distribution, K+, Cl- and PH are normal positively platykurtic distribution. These 2 groups fall into a sub-class. And the combined with normal negatively platykurtic distribution-TDS and fall into platykurtic distribution group. Mg2+, Li+ are normal positively peaked distribution; Na+ is normal negatively peaked distribution. They all belong to peaked distribution group. According to Na+, K+, Mg2+//Cl-H2O quarternary phase diagram and Na+, K+, Mg2+//Cl-SO42-H2O pentabasic phase diagram, the chlorite and magnesium sulfate subtype have different hydro chemical characteristics and salting-in and salting-out rules.

The Study on the Stability of Agro-Ecosystem’s Productivity

2012 ◽  
Vol 433-440 ◽  
pp. 1998-2003
Author(s):  
Tang Heng ◽  
Teng Yue Gao
Keyword(s):  
Evaluation System ◽  
Wave Theory ◽  
Research Area ◽  
Target System ◽  
Development Theory ◽  
Ecosystem Productivity ◽  
Index Method ◽  
Volatility Index ◽  
Synthetic Index ◽  
The Stability

The article analyzes the stability of agro-ecosystem’s productivity taking sustainable development theory and wave theory as guideline, conducted field study of the research area taking ** as research case based on analyzing ** yearly grain output, and establishes relatively complete, clear and easy accessible evaluation target system for agro-ecosystem productivity stability through analyzing the constraints of the stability in the area and making full use of current statistical data with combination with actual situation. The evaluation system is set to be 4 layers with 17 indices as per Delphi and AHP method and comprehensive weight of each index is determined. It analyzes the stability of agro-ecosystem productivity from the aspect of both time and space with current indices and standardized data using synthetic index method and volatility index calculation method.

scholarly journals ESTIMATING STABILITY OF STRUCTURAL AND BRIGHTNESS PROPERTIES IN IMAGE DIGITAL PROCESSING

2021 ◽  
Vol 2021 (2) ◽  
pp. 39-46
Author(s):  
Viktor Afonin ◽  
Anastasia V. Savkina ◽  
Vladimir Nikulin
Keyword(s):  
Geometric Mean ◽  
Color Space ◽  
Similarity Index ◽  
Structural Similarity ◽  
Image Database ◽  
Digital Processing ◽  
Stability Assessment ◽  
Halftone Image ◽  
International Image ◽  
The Stability

The article considers determining the stability assessment of the structural and brightness properties of raster images. The stability assessment refers to the ability of preserving the image properties due to the original image processing by filtering. Halftone versions of the full-color images presented in the RGB color space are accepted as original images. The grayscale images are filtered using the Gaussian, Wiener, and median filtration algorithms. The next step is to use one of the variants of the SSIM algorithm to obtain the structural similarity index between the control halftone image and the filtered image. In order to create a relative and dimensionless metric there has been calculated the area of the polygon S set by the values of the similarity indices relative to the control grayscale image, and the area of the rectangle Sp that contains the area of the polygon S. Images from the international image database TID2008 (image database 2008), TID2013 (image database 2013) were taken as test bitmaps. The official coats of arms of the Russian Federation entities – territories, regions, republics, etc. - were also considered. The resulting stability score is determined either as the geometric mean of the four calculated values, or as their arithmetic mean. The results of testing the groups of bitmap images that are united by a common theme or purpose are presented. From each group of images, the maximum and minimum values of the estimates of the image stability to structural and brightness changes are determined in accordance with the developed heuristic algorithm. The results obtained can be used for comparative evaluation of competing images in order to select the most resistant to structural and brightness changes.

Piezoelectric β-polymorph formation of new textiles by surface modification with coating process based on interfacial interaction on the conformational variation of poly (vinylidene fluoride) (PVDF) chains

2020 ◽  
Vol 91 (3) ◽  
pp. 31301
Author(s):  
Nabil Chakhchaoui ◽  
Rida Farhan ◽  
Meriem Boutaldat ◽  
Marwane Rouway ◽  
Adil Eddiai ◽  
...  
Keyword(s):  
High Efficiency ◽  
Vinylidene Fluoride ◽  
Research Work ◽  
Research Area ◽  
Interfacial Interaction ◽  
Tetraethyl Orthosilicate ◽  
Poly Vinylidene Fluoride ◽  
Carbon Nanofillers ◽  
The Impact ◽  
Advanced Applications

Novel textiles have received a lot of attention from researchers in the last decade due to some of their unique features. The introduction of intelligent materials into textile structures offers an opportunity to develop multifunctional textiles, such as sensing, reacting, conducting electricity and performing energy conversion operations. In this research work nanocomposite-based highly piezoelectric and electroactive β-phase new textile has been developed using the pad-dry-cure method. The deposition of poly (vinylidene fluoride) (PVDF) − carbon nanofillers (CNF) − tetraethyl orthosilicate (TEOS), Si(OCH2CH3)4 was acquired on a treated textile substrate using coating technique followed by evaporation to transform the passive (non-functional) textile into a dynamic textile with an enhanced piezoelectric β-phase. The aim of the study is the investigation of the impact the coating of textile via piezoelectric nanocomposites based PVDF-CNF (by optimizing piezoelectric crystalline phase). The chemical composition of CT/PVDF-CNC-TEOS textile was detected by qualitative elemental analysis (SEM/EDX). The added of 0.5% of CNF during the process provides material textiles with a piezoelectric β-phase of up to 50% has been measured by FTIR experiments. These results indicated that CNF has high efficiency in transforming the phase α introduced in the unloaded PVDF, to the β-phase in the case of nanocomposites. Consequently, this fabricated new textile exhibits glorious piezoelectric β-phase even with relatively low coating content of PVDF-CNF-TEOS. The study demonstrates that the pad-dry-cure method can potentially be used for the development of piezoelectric nanocomposite-coated wearable new textiles for sensors and energy harvesting applications. We believe that our study may inspire the research area for future advanced applications.

ANALISIS SENSITIVITAS VIDEO MPEG-4 BERDASARKAN STRUKTUR FRAME PADA TRANSMISI DVB-T

2020 ◽  
Vol 25 (2) ◽  
pp. 86-97
Author(s):  
Sandy Suryo Prayogo ◽  
Tubagus Maulana Kusuma
Keyword(s):  
Deep Learning ◽  
Bit Error Rate ◽  
Error Rate ◽  
Signal To Noise Ratio ◽  
Similarity Index ◽  
Structural Similarity ◽  
Signal To Noise ◽  
Structural Similarity Index ◽  
Noise Ratio

DVB merupakan standar transmisi televisi digital yang paling banyak digunakan saat ini. Unsur terpenting dari suatu proses transmisi adalah kualitas gambar dari video yang diterima setelah melalui proses transimisi tersebut. Banyak faktor yang dapat mempengaruhi kualitas dari suatu gambar, salah satunya adalah struktur frame dari video. Pada tulisan ini dilakukan pengujian sensitifitas video MPEG-4 berdasarkan struktur frame pada transmisi DVB-T. Pengujian dilakukan menggunakan simulasi matlab dan simulink. Digunakan juga ffmpeg untuk menyediakan format dan pengaturan video akan disimulasikan. Variabel yang diubah dari video adalah bitrate dan juga group-of-pictures (GOP), sedangkan variabel yang diubah dari transmisi DVB-T adalah signal-to-noise-ratio (SNR) pada kanal AWGN di antara pengirim (Tx) dan penerima (Rx). Hasil yang diperoleh dari percobaan berupa kualitas rata-rata gambar pada video yang diukur menggunakan metode pengukuran structural-similarity-index (SSIM). Dilakukan juga pengukuran terhadap jumlah bit-error-rate BER pada bitstream DVB-T. Percobaan yang dilakukan dapat menunjukkan seberapa besar sensitifitas bitrate dan GOP dari video pada transmisi DVB-T dengan kesimpulan semakin besar bitrate maka akan semakin buruk nilai kualitas gambarnya, dan semakin kecil nilai GOP maka akan semakin baik nilai kualitasnya. Penilitian diharapkan dapat dikembangkan menggunakan deep learning untuk memperoleh frame struktur yang tepat di kondisi-kondisi tertentu dalam proses transmisi televisi digital.

scholarly journals Risk of Increased Acceptance for Organizational Nepotism and Cronyism during the COVID-19 Pandemic

Risks ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 59
Author(s):  
Grzegorz Ignatowski ◽  
Łukasz Sułkowski ◽  
Bartłomiej Stopczyński
Keyword(s):  
Qualitative Study ◽  
Quantitative Methods ◽  
Research Work ◽  
Negative Effects ◽  
Qualitative And Quantitative ◽  
Qualitative And Quantitative Methods ◽  
Work Related ◽  
Social And Economic Development ◽  
The Times ◽  
The Impact

Nepotism and cronyism are forms of favoritism towards certain people in the workplace. For this reason, they constitute a problem for organization managers, ethicists and psychologists. Identifying the impact of COVID-19 pandemic on the increase of nepotism and cronyism may provide a basis for organizations to assess their extent and to take possible measures to prevent their negative effects. At the same time, the research presented in the article may provide a basis for further research work related to nepotism and cronyism at the times of other threats, different from the pandemic. The aim of the article is to examine the impact of the COVID-19 pandemic on growing acceptance for nepotism and cronyism in Polish enterprises. Qualitative and quantitative methods have been included in the conducted research. Qualitative study aimed at improving knowledge of nepotism and cronyism and the impact of the COVID-19 pandemic on these phenomena, followed by a quantitative study conducted in order to verify the information obtained in the qualitative study. This research has demonstrated that Nepotism and cronyism in the workplace, are phenomenon that are basically evaluated negatively. They adversely influences social and economic development, but the impact of COVID-19 pandemic on nepotism and cronyism is not significant.

scholarly journals GPR B-Scan Image Denoising via Multi-Scale Convolutional Autoencoder with Data Augmentation

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1269
Author(s):  
Jiabin Luo ◽  
Wentai Lei ◽  
Feifei Hou ◽  
Chenghao Wang ◽  
Qiang Ren ◽  
...  
Keyword(s):  
Image Denoising ◽  
Data Augmentation ◽  
Noise Suppression ◽  
Random Noise ◽  
Similarity Index ◽  
Structural Similarity ◽  
Training Dataset ◽  
Generative Adversarial Network ◽  
Multi Scale ◽  
Convolutional Autoencoder

Ground-penetrating radar (GPR), as a non-invasive instrument, has been widely used in civil engineering. In GPR B-scan images, there may exist random noise due to the influence of the environment and equipment hardware, which complicates the interpretability of the useful information. Many methods have been proposed to eliminate or suppress the random noise. However, the existing methods have an unsatisfactory denoising effect when the image is severely contaminated by random noise. This paper proposes a multi-scale convolutional autoencoder (MCAE) to denoise GPR data. At the same time, to solve the problem of training dataset insufficiency, we designed the data augmentation strategy, Wasserstein generative adversarial network (WGAN), to increase the training dataset of MCAE. Experimental results conducted on both simulated, generated, and field datasets demonstrated that the proposed scheme has promising performance for image denoising. In terms of three indexes: the peak signal-to-noise ratio (PSNR), the time cost, and the structural similarity index (SSIM), the proposed scheme can achieve better performance of random noise suppression compared with the state-of-the-art competing methods (e.g., CAE, BM3D, WNNM).

scholarly journals Microwave Imaging of Breast Skin Utilizing Elliptical UWB Antenna and Reverse Problems Algorithm

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 647
Author(s):  
Sameer Alani ◽  
Zahriladha Zakaria ◽  
Tale Saeidi ◽  
Asmala Ahmad ◽  
Muhammad Ali Imran ◽  
...  
Keyword(s):  
Skin Cancer ◽  
Imaging System ◽  
Signal Transmission ◽  
Similarity Index ◽  
Structural Similarity ◽  
Microwave Imaging ◽  
Ultra Wideband ◽  
Uwb Antenna ◽  
System A ◽  
High Structural Similarity

Skin cancer is one of the most widespread and fast growing of all kinds of cancer since it affects the human body easily due to exposure to the Sun’s rays. Microwave imaging has shown better outcomes with higher resolution, faster processing time, mobility, and less cutter and artifact effects. A miniaturized elliptical ultra-wideband (UWB) antenna and its semi-spherical array arrangement were used for signal transmission and reception from the defected locations in the breast skin. Several conditions such as various arrays of three, six, and nine antenna elements, smaller tumor, multi-tumors, and skin on a larger breast sample of 30 cm were considered. To assess the ability of the system, a breast shape container with a diameter of 130 mm and height of 60 mm was 3D printed and then filled with fabricated skin and breast fat to perform the experimental investigation. An improved modified time-reversal algorithm (IMTR) was used to recreate 2D images of tumors with the smallest radius of 1.75 mm in any location within the breast skin. The reconstructed images using both simulated and experimental data verified that the system can be a reliable imaging system for skin cancer diagnosis having a high structural similarity index and resolution.

Fused Image Quality Measure Based on Structural Similarity

2011 ◽  
Vol 255-260 ◽  
pp. 2072-2076
Author(s):  
Yi Yong Han ◽  
Jun Ju Zhang ◽  
Ben Kang Chang ◽  
Yi Hui Yuan ◽  
Hui Xu
Keyword(s):  
Image Fusion ◽  
Structural Information ◽  
Similarity Index ◽  
Structural Similarity ◽  
Reference Image ◽  
Human Visual Perception ◽  
Subjective Evaluations ◽  
Fused Image ◽  
Fusion Methods ◽  
Image Quality Measure

Under the assumption that human visual perception is highly adapted for extracting structural information from a scene, we present a new approach using structural similarity index for assessing quality in image fusion. The advantages of our measures are that they do not require a reference image and can be easily computed. Numerous simulations demonstrate that our measures are conform to subjective evaluations and can be able to assess different image fusion methods.

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