Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness

Roshani, Mohammadmehdi; Phan, Giang T.T.; Ali, Peshawa J. Muhammad; Roshani, Gholam Hossein; Hanus, Robert; Duong, Trung H.; Corniani, Enrico; Nazemi, Ehsan; Kalmoun, El Mostafa

doi:10.1016/j.aej.2020.11.043

Cited by 126 publications

(65 citation statements)

References 30 publications

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“…The BSA consists of a magnesium fluoride moderator, a composite reflector (graphite in the front hemisphere and lead in the back), an absorber, and a filter. Monte Carlo radiation transport tools are used to design and optimize a neutron source [24][25][26][27][28], X-ray-radian-and gammaradian-based systems [29,30]. Numerical simulations of neutron and γ-radiation transport showed that at a proton beam energy of 2.3 MeV, the BSA makes it possible to produce a neutron beam with parameters well-matching the BNCT requirements [31,32].…”

Section: Beam-shaping Assemblymentioning

confidence: 99%

Neutron Source Based on Vacuum Insulated Tandem Accelerator and Lithium Target

Taskaev

Berendeev

Bikchurina

et al. 2021

Biology

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A compact accelerator-based neutron source has been proposed and created at the Budker Institute of Nuclear Physics in Novosibirsk, Russia. An original design tandem accelerator is used to provide a proton beam. The proton beam energy can be varied within a range of 0.6–2.3 MeV, keeping a high-energy stability of 0.1%. The beam current can also be varied in a wide range (from 0.3 mA to 10 mA) with high current stability (0.4%). In the device, neutron flux is generated as a result of the 7Li(p,n)7Be threshold reaction. A beam-shaping assembly is applied to convert this flux into a beam of epithermal neutrons with characteristics suitable for BNCT. A lot of scientific research has been carried out at the facility, including the study of blistering and its effect on the neutron yield. The BNCT technique is being tested in in vitro and in vivo studies, and the methods of dosimetry are being developed. It is planned to certify the neutron source next year and conduct clinical trials on it. The neutron source served as a prototype for a facility created for a clinic in Xiamen (China).

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Section: Beam-shaping Assemblymentioning

confidence: 99%

Neutron Source Based on Vacuum Insulated Tandem Accelerator and Lithium Target

Taskaev

Berendeev

Bikchurina

et al. 2021

Biology

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“…The first is to do series of experiments while keeping one variable constant and varying others to reach a conclusive combination of all parameters-i.e., minimum OI, maximum Gx, the possible lowest amount of SP concentration, and the appropriate radiation dose, respectively. The second is to use some smart approaches and methods, such statistical methods, multivariate calculus, artificial intelligence (AI) [37][38][39][40], or any robust multicriteria decision-making techniques, to determine the hidden pattern in multidimensional data and to obtain the optimized solution for the problem. Therefore, correlation analysis was performed to reveal the effectiveness of SP as a suitable filler for UHMWPE.…”

Section: Update In Important Structural Parameters Upon Irradiationmentioning

confidence: 99%

Gamma-Ray Modified Polymer/Clay Composites: Synthesis, Characterization, and Formulation Optimization Using Multivariate Calculus and Graph Theory

Bakhsh

2021

Energies

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To enhance the oxidation strength and crosslinking yield of ultrahigh molecular weight polyethylene (UHMWPE), its composites were prepared by mixing 1%, 2%, and 3% (by wt.) of magnesium silicate hydrous (sepiolite) during this study. These composites were irradiated with 25 kGy and 50 kGy of irradiation doses in the open air. Subsequent to irradiation, the composites were characterized for updates in structure, oxidation strength, and degree of crosslinking while estimating the values of oxidation index (OI), crosslink density (Gx), and percent crystallinity (Xc), respectively. The reaction of modified sepiolite (SP) on irradiating UHMWPE/SP composites was evident from the origination of peaks at Si-O, O-Si-O, Si-O-Si, and Mg-OH and stretching vibration at 974 cm−1, 1014 cm−1, and 1080 cm−1, respectively. In addition, the moderate negative correlation of OI (−0.46) and strong positive correlation of Gx (0.87) with the absorbed dose, made obvious from correlation analysis, confirmed the effectiveness of SP in enhancing the oxidation strength and crosslink density of UHMWPE. Furthermore, cluster analysis (CA) grouped the composites as low, moderate, and best based on dissimilarities, i.e., oxidation strength and crosslink density, which was further confirmed by principal component analysis (PCA). PCA also revealed that the OI, Gx, and absorbed dose were the active variables for this best group. After confirming the effectiveness of SP (as an active filler for enhancing the oxidation strength and crosslink density of UHMWPE) and recognizing the OI, Gx, and absorbed dose as active variables, the next step was to determine the necessary minimum amount of SP concentration and radiation dose required for the composite that outperforms all others. For this, a parametric graph theory and matrix approach was employed to rank the composites of the best group, revealing that the UHMWPE/SP composite with 1% (by wt.) of Si12O30Mg8(OH)4(H2O)4·8H2O and irradiated with 50 kGy of irradiation dose was the most suitable choice of all existing alternatives tested in this study. Although this is the first attempt, to the best of our knowledge, where a smart approach using multivariate calculus and decision-making tools was utilized for figuring the best UHMWPE composite formulation along with appropriate treatment dose, the results and methodology could be extended for any polymer of industrial scale, such as those used in medical implants, defense armor, bulletproof jackets, etc.

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“…Until the current time, DNNs have been developed for many applications, such as civil engineering [14], electrical engineering [15], petroleum engineering [16], industrial engineering [17], and computer vision. A DNN for object detection is mostly known as a convolutional neural network (CNN).…”

Section: Introduction 1pedestrian Safety and Challenges In Pedestriamentioning

confidence: 99%

Pedestrian Detection Using Multispectral Images and a Deep Neural Network

Nataprawira

Goncharenko

et al. 2021

Sensors

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Pedestrian fatalities and injuries most likely occur in vehicle-pedestrian crashes. Meanwhile, engineers have tried to reduce the problems by developing a pedestrian detection function in Advanced Driver-Assistance Systems (ADAS) and autonomous vehicles. However, the system is still not perfect. A remaining problem in pedestrian detection is the performance reduction at nighttime, although pedestrian detection should work well regardless of lighting conditions. This study presents an evaluation of pedestrian detection performance in different lighting conditions, then proposes to adopt multispectral image and deep neural network to improve the detection accuracy. In the evaluation, different image sources including RGB, thermal, and multispectral format are compared for the performance of the pedestrian detection. In addition, the optimizations of the architecture of the deep neural network are performed to achieve high accuracy and short processing time in the pedestrian detection task. The result implies that using multispectral images is the best solution for pedestrian detection at different lighting conditions. The proposed deep neural network accomplishes a 6.9% improvement in pedestrian detection accuracy compared to the baseline method. Moreover, the optimization for processing time indicates that it is possible to reduce 22.76% processing time by only sacrificing 2% detection accuracy.

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Evaluation of flow pattern recognition and void fraction measurement in two phase flow independent of oil pipeline’s scale layer thickness

Cited by 126 publications

References 30 publications

Neutron Source Based on Vacuum Insulated Tandem Accelerator and Lithium Target

Neutron Source Based on Vacuum Insulated Tandem Accelerator and Lithium Target

Gamma-Ray Modified Polymer/Clay Composites: Synthesis, Characterization, and Formulation Optimization Using Multivariate Calculus and Graph Theory

Pedestrian Detection Using Multispectral Images and a Deep Neural Network

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