Study on Effect of Spheroidization on Hazardous Classification of ADN

2021 ◽  
Vol 881 ◽  
pp. 71-76
Author(s):  
Jian Yang ◽  
Hong Bin Li ◽  
Song Tao Ren ◽  
Peng Gang Jin ◽  
Zan Gao
Keyword(s):  
Temperature Stability ◽  
Impact Sensitivity ◽  
Classification Method ◽  
Ammonium Dinitramide ◽  
Classification Procedure ◽  
Research Results ◽  
Before And After ◽  
Hazard Classification ◽  
Friction Sensitivity

In order to determine the influence of spheroidization process of Ammonium dinitramide’s hazard grade, the hazardous division of Ammonium dinitramide before and after spheroidization is studied by using hazard classification procedure for combustible and explosive substances and articles standard (WJ20405) and hazard classification method and criterion for combusitible and explosive substances and articles standard (WJ20404). The research results show that spheroidization process can significantly improve the temperature stability of Ammonium dinitramide and significantly reduce friction sensitivity and impact sensitivity of Ammonium dinitramide. So spheroidization process can reduce the hazardous of Ammonium dinitramide and improve the safe character of Ammonium dinitramide.

scholarly journals The Use of UV Spectroscopy and SIMCA for the Authentication of Indonesian Honeys According to Botanical, Entomological and Geographical Origins

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 915
Author(s):  
Diding Suhandy ◽  
Meinilwita Yulia
Keyword(s):  
Spectral Data ◽  
Uv Spectroscopy ◽  
Moving Average ◽  
Food Product ◽  
Classification Method ◽  
Economic Losses ◽  
Food Fraud ◽  
Authentication System ◽  
Uv Visible

As a functional food, honey is a food product that is exposed to the risk of food fraud. To mitigate this, the establishment of an authentication system for honey is very important in order to protect both producers and consumers from possible economic losses. This research presents a simple analytical method for the authentication and classification of Indonesian honeys according to their botanical, entomological, and geographical origins using ultraviolet (UV) spectroscopy and SIMCA (soft independent modeling of class analogy). The spectral data of a total of 1040 samples, representing six types of Indonesian honey of different botanical, entomological, and geographical origins, were acquired using a benchtop UV-visible spectrometer (190–400 nm). Three different pre-processing algorithms were simultaneously evaluated; namely an 11-point moving average smoothing, mean normalization, and Savitzky–Golay first derivative with 11 points and second-order polynomial fitting (ordo 2), in order to improve the original spectral data. Chemometrics methods, including exploratory analysis of PCA and SIMCA classification method, was used to classify the honey samples. A clear separation of the six different Indonesian honeys, based on botanical, entomological, and geographical origins, was obtained using PCA calculated from pre-processed spectra from 250–400 nm. The SIMCA classification method provided satisfactory results in classifying honey samples according to their botanical, entomological, and geographical origins and achieved 100% accuracy, sensitivity, and specificity. Several wavelengths were identified (266, 270, 280, 290, 300, 335, and 360 nm) as the most sensitive for discriminating between the different Indonesian honey samples.

Detection of Vigil And Fatigue States During The Execution of Laparoscopic Tasks Based On EEG Patterns

2021 ◽  
Author(s):  
Yeremi Pérez ◽  
Roberto Borboa-Gastelum ◽  
Luz Maria Alonso-Valerdi ◽  
David I. Ibarra-Zarate ◽  
Eduardo A. Flores-Villalba ◽  
...  
Keyword(s):  
Medical Students ◽  
Individual Component ◽  
Support Vector ◽  
Patient Death ◽  
Professional Activities ◽  
Health Area ◽  
Before And After ◽  
Lack Of Sleep ◽  
Eeg Signal Processing

Abstract Fatigue decreases performance in several professional activities. Fatigue can lead to commit technical mistakes which consequences might be lethal, such as in health area, where a surgical error due to the absence of rest can provoke the patient death. Therefore, this study aims to detect vigil and fatigue (due to lack of sleep) states in medical students through the classification of electroencephalographic (EEG) patterns. The EEG signals of 18 physician students were analyzed within theta band (4 - 8 Hz) over front-central recording sites, and alpha band (8 - 13 Hz) rhythms over temporal and parieto-occipital recording sites during the execution of laparoscopic tasks before and after their medical duties. The EEG signal processing pipeline consisted in pre-processing based on individual component analysis, absolute band power estimates, and Support Vector Machine classification. The F-score to differ between vigil and fatigue states was 90.89%, where the first class was slightly more identifiable reaching a sensitivity of 90.18%. Based on this outcome, the detection of fatigue in medical students while their laparoscopic training seems achievable and feasible to diminish technical mistakes that could be lethal in health area. For this purpose, EEG recording are provided.

Classification of Brain Signal Activities Before and After Consuming Soy Peptide Using Fuzzy Logic

2021 ◽  
Author(s):  
Arjon Turnip ◽  
Gilbert F. Y. Sihombing ◽  
Giraldo F. J. Sihombing ◽  
George Michael Tampubolon ◽  
Peri Turnip ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Before And After

scholarly journals Segmentation and Multi-Scale Convolutional Neural Network-Based Classification of Airborne Laser Scanner Data

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3347 ◽  
Author(s):  
Zhishuang Yang ◽  
Bo Tan ◽  
Huikun Pei ◽  
Wanshou Jiang
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Laser Scanning ◽  
Laser Scanner ◽  
Region Growing ◽  
Point Clouds ◽  
Classification Method ◽  
Multi Scale ◽  
Airborne Laser

The classification of point clouds is a basic task in airborne laser scanning (ALS) point cloud processing. It is quite a challenge when facing complex observed scenes and irregular point distributions. In order to reduce the computational burden of the point-based classification method and improve the classification accuracy, we present a segmentation and multi-scale convolutional neural network-based classification method. Firstly, a three-step region-growing segmentation method was proposed to reduce both under-segmentation and over-segmentation. Then, a feature image generation method was used to transform the 3D neighborhood features of a point into a 2D image. Finally, feature images were treated as the input of a multi-scale convolutional neural network for training and testing tasks. In order to obtain performance comparisons with existing approaches, we evaluated our framework using the International Society for Photogrammetry and Remote Sensing Working Groups II/4 (ISPRS WG II/4) 3D labeling benchmark tests. The experiment result, which achieved 84.9% overall accuracy and 69.2% of average F1 scores, has a satisfactory performance over all participating approaches analyzed.

scholarly journals Multiresolution analysis of vibration signals acquired from locomotive Diesel engine for classification of engine states basing on signal statistical parameters

2017 ◽  
Vol 168 (1) ◽  
pp. 68-72
Author(s):  
Piotr BOGUŚ ◽  
Mateusz CIESZYŃSKI ◽  
Jerzy MERKISZ
Keyword(s):  
Diesel Engine ◽  
Complex Analysis ◽  
Statistical Parameters ◽  
Vibration Signals ◽  
Time Frequency ◽  
Significant Difference ◽  
Before And After ◽  
On Line ◽  
Locomotive Diesel

The paper presents a method of classification of locomotive Diesel engine states basing on vibration signals taken from an engine body and using chosen statistical parameters calculated for the original signal and it wavelet multiresolution components. The researches presented in the paper concern estimation of an engine states before and after a general repair. The target application of the presented researches is an on-line diagnostic system which can complement standard OBD systems. To this purpose the applied methods should not base on complex analysis of some spectral, time-frequency or scalogram plots but rather on choosing single diagnostic parameters which are suitable for the fast on-line diagnostic. The results have showed the significant difference in distinguishing of engine work before and after a general repair using some chosen statistical parameters applied to vibration signals.

scholarly journals Aplikasi Digital Risalah Ilmu Tajwid dalam Meningkatkan Kemampuan Baca Alquran

2018 ◽  
Vol 11 (2) ◽  
pp. 145-157
Author(s):  
Khairul Khairul ◽  
Muhammad Haramain
Keyword(s):  
Learning Environment ◽  
Research Design ◽  
Empirical Data ◽  
Control Group ◽  
Control Group Design ◽  
Text Book ◽  
Research Results ◽  
Group Design ◽  
Before And After ◽  
The Difference

This article discusses the using of risalah of tajwid digital apps in increasing the students of SMA Negeri 4 Pinrang abilities in reading al-Qur’an. The using of risalah of tajwid digital apps was by optimazing the technology of computer that running by risalah of tajwid digital apps, that able to create the learning environment to prepare the options that can stimulated the students to use the potential cognitive. The objectives of this research was to get the empirical data about the students’ ability in reading Alquran before and after taught by using risalah digital of tajwid science and to get the empirical data about students’ ability in reading Alquran before and after using text book as well as to get the information about the difference in students’ level of ability in reading Alquran at the experiment class and the control class. The research design is used nonequivalent control group design, it means that in this design the experiment class nor the control class was not selected randomly.The research results are: (1) The level of students’ ability in reading Alquran in the experiment class before the treatment was classified in poor category, however, after given the treatment it was in good category. (2) The level of students’ ability in reading Alquran in the control class before the treatment was in poor category, however, after given the treatment it was in good category. (3) There are difference of students’ level ability in reading Alquran in the experiment class and the control class.

scholarly journals POTENTIALITY OF THE BUGOJNO COAL BASIN, BOSNIA AND HERZEGOVINA

2021 ◽  
Vol 1 (24) ◽  
Author(s):  
Dževad Forčaković ◽  
Rejhana Dervišević
Keyword(s):  
Raw Material ◽  
Northwestern Part ◽  
Material Base ◽  
Coal Basin ◽  
Surface Distribution ◽  
Research Results ◽  
Geological Characteristics ◽  
Quantitative Characteristics

This paper presents research results of the Bugojno coal basin, which contains very significant, but still insufficiently explored lignite reserves. Based on the determined borders of surface distribution and the research results in the northwestern part of the Bugojno coal basin, proved are four coal layers with reserves of over one billion tons of coal. Discussed are geological characteristics of coal layers, their qualitative-quantitative characteristics, spatial potential of deposit and classification of coal layers. Considering the raw material potential and the possibility of expanding the existing raw material base, the Bugojno coal basin has particular importance for the long-term development of lignite exploitation and its use for thermal energy purposes.

scholarly journals Discrete plasmapheres method possibilities in improving peripheral microcirculation in patients with atherosclerosis of the arteries of low extremities

2015 ◽  
Vol 14 (4) ◽  
pp. 18-21
Author(s):  
Y. S. Andozhskaya ◽  
A. N. Galileyeva
Keyword(s):  
Clinical Status ◽  
Spectral Characteristics ◽  
Suggested Method ◽  
Peripheral Artery ◽  
Doppler Flow ◽  
Before And After ◽  
Peripheral Microcirculation ◽  
Flow Changes ◽  
Artery Disease

Introduction and aim. In this study discrete plasmapheres method possibilities in the treatment of the patients with III stage of peripheral artery disease were investigated. The aim of current investigation was to find out the changes of the peripheral microcirculation. Materials and methods: microcirculation was investigated with Minimax-Doppler Ê device before and after treatment of 48 patients with intermittent claudication. Results and discussion. It was found that peripheral microcirculation data and spectral characteristics of Doppler flow changes and clinical status of the patients eventually improved after treatment by suggested method. In conclusion, treatment by suggested method of discrete plasmapheres is effective on one of the most complicated group of patients with III stage of ischemia according to Fontaine-Pokrovsky classification of atherosclerosis of the arteries of low extremities.

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