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Sci, Volume 2, Issue 2 (June 2020) – 8 articles

Cover Story (view full-size image): The rediscovery of the singularly perturbed neutron point kinetic model reveals the mathematical conditions when the reduced-order dynamical system can be used largely for real-time monitoring, as well as for active control in nuclear power plants. Since the thermal–hydraulic and fuel heat transfer dynamics act as low-pass filters, the high-frequency transients of prompt neutrons are almost entirely attenuated. Provided that the net deviations in the total reactivity are small, the transient simulation can be implemented efficiently without significantly compromising the accuracy. View this paper.
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11 pages, 4941 KiB  
Article
Classification of Ancient Roman Coins by Denomination Using Colour, a Forgotten Feature in Automatic Ancient Coin Analysis
by Yuanyuan Ma and Ognjen Arandjelović
Sci 2020, 2(2), 37; https://doi.org/10.3390/sci2020037 - 3 Jun 2020
Cited by 8 | Viewed by 12034
Abstract
Ancient numismatics, that is, the study of ancient currencies (predominantly coins), is an interesting domain for the application of computer vision and machine learning, and has been receiving an increasing amount of attention in recent years. Notwithstanding the number of articles published on [...] Read more.
Ancient numismatics, that is, the study of ancient currencies (predominantly coins), is an interesting domain for the application of computer vision and machine learning, and has been receiving an increasing amount of attention in recent years. Notwithstanding the number of articles published on the topic, the variety of different methodological approaches described, and the mounting realisation that the relevant problems in the field are most challenging indeed, all research to date has entirely ignored one specific, readily accessible modality: colour. Invariably, colour is discarded and images of coins treated as being greyscale. The present article is the first one to question this decision (and indeed, it is a decision). We discuss the reasons behind the said choice, present a case why it ought to be reexamined, and in turn investigate the issue for the first time in the published literature. Specifically, we propose two new colour-based representations specifically designed with the aim of being applied to ancient coin analysis, and argue why it is sensible to employ them in the first stages of the classification process as a means of drastically reducing the initially enormous number of classes involved in type matching ancient coins (tens of thousands, just for Ancient Roman Imperial coins). Furthermore, we introduce a new data set collected with the specific aim of denomination-based categorisation of ancient coins, where we hypothesised colour could be of potential use, and evaluate the proposed representations. Lastly, we report surprisingly successful performances which goes further than confirming our hypothesis—rather, they convincingly demonstrate a much higher relevant information content carried by colour than even we expected. Thus we trust that our findings will be noted by others in the field and that more attention and further research will be devoted to the use of colour in automatic ancient coin analysis. Full article
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10 pages, 1695 KiB  
Technical Note
On Singular Perturbation of Neutron Point Kinetics in the Dynamic Model of a PWR Nuclear Power Plant
by Xiangyi Chen and Asok Ray
Sci 2020, 2(2), 36; https://doi.org/10.3390/sci2020036 - 27 May 2020
Cited by 4 | Viewed by 3003
Abstract
This short communication makes use of the principle of singular perturbation to approximate the ordinary differential equation (ODE) of prompt neutron (in the point kinetics model) as an algebraic equation. This approximation is shown to yield a large gain in computational efficiency without [...] Read more.
This short communication makes use of the principle of singular perturbation to approximate the ordinary differential equation (ODE) of prompt neutron (in the point kinetics model) as an algebraic equation. This approximation is shown to yield a large gain in computational efficiency without compromising any significant accuracy in the numerical simulation of primary coolant system dynamics in a PWR nuclear power plant. The approximate (i.e., singularly perturbed) model has been validated with a numerical solution of the original set of neutron point-kinetic and thermal–hydraulic equations. Both models use variable-step Runge–Kutta numerical integration. Full article
(This article belongs to the Section Thermal Engineering and Sciences)
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11 pages, 13412 KiB  
Article
Railway Vehicle Wheel Restoration by Submerged Arc Welding and Its Characterization
by Byeong-Choo Coo and Young-Jin Lee
Sci 2020, 2(2), 33; https://doi.org/10.3390/sci2020033 - 14 May 2020
Cited by 4 | Viewed by 4297
Abstract
When a railway vehicle moves on a curved rail, sliding contact occurs between the rail head side and wheel flange, which wears the wheel flange down. The thinned flange needs to be restored above the required minimum thickness for structural safety. In this [...] Read more.
When a railway vehicle moves on a curved rail, sliding contact occurs between the rail head side and wheel flange, which wears the wheel flange down. The thinned flange needs to be restored above the required minimum thickness for structural safety. In this study, a new process and welding wire for restoring worn-out railway wheels by submerged arc welding was developed. To characterize the properties of the restored wheel, dilatometric analysis of phase transformation, SEM/EDX analyses, hardness measurement, and residual stress measurement using the X-ray diffraction method were performed. Finally, wear tests with full-size wheel/rail specimens were carried out. It was confirmed that the weld metal was composed of bainitic microstructures as intended, and welding defects were not observed. The wear amount of the restored wheel was greater than that of the base material, but it was less than half of the wear depth of the weld-repaired wheel with ferritic–pearlitic microstructures. The developed process seems applicable to industry. Full article
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24 pages, 5429 KiB  
Article
Making Japenese Ukiyo-e Art 3D in Real-Time
by Innes Brown and Ognjen Arandjelović
Sci 2020, 2(2), 32; https://doi.org/10.3390/sci2020032 - 11 May 2020
Cited by 1 | Viewed by 4777
Abstract
Ukiyo-e is a traditional Japanese painting style most commonly printed using wood blocks. Ukiyo-e prints feature distinct line work, bright colours, and a non-perspective projection. Most previous research on ukiyo-e styled computer graphics has been focused on creation of 2D images. In this [...] Read more.
Ukiyo-e is a traditional Japanese painting style most commonly printed using wood blocks. Ukiyo-e prints feature distinct line work, bright colours, and a non-perspective projection. Most previous research on ukiyo-e styled computer graphics has been focused on creation of 2D images. In this paper we propose a framework for rendering interactive 3D scenes with ukiyo-e style. The rendering techniques use standard 3D models as input and require minimal additional information to automatically render scenes in a ukiyo-e style. The described techniques are evaluated based on their ability to emulate ukiyo-e prints, performance, and temporal coherence. Full article
(This article belongs to the Special Issue Machine Learning and Vision for Cultural Heritage)
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14 pages, 6271 KiB  
Article
Data Fusion of Scanned Black and White Aerial Photographs with Multispectral Satellite Images
by Dimitris Kaimaris, Petros Patias, Giorgos Mallinis and Charalampos Georgiadis
Sci 2020, 2(2), 29; https://doi.org/10.3390/sci2020029 - 23 Apr 2020
Cited by 1 | Viewed by 3351
Abstract
To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there [...] Read more.
To date, countless satellite image fusions have been made, mainly with panchromatic spatial resolution to a multispectral image ratio of 1/4, fewer fusions with lower ratios, and relatively recently fusions with much higher spatial resolution ratios have been published. Apart from this, there is a small number of publications studying the fusion of aerial photographs with satellite images, with the year of image acquisition varying and the dates of acquisition not mentioned. In addition, in these publications, either no quantitative controls are performed on the composite images produced, or the aerial photographs are recent and colorful and only the RGB bands of the satellite images are used for data fusion purposes. The objective of this paper is the study of the addition of multispectral information from satellite images to black and white aerial photographs of the 80s decade (1980–1990) with small difference (just a few days) in their image acquisition date, the same year and season. Quantitative tests are performed in two case studies and the results are encouraging, as the accuracy of the classification of the features and objects of the Earth’s surface is improved and the automatic digital extraction of their form and shape from the archived aerial photographs is now allowed. This opens up a new field of use for the black and white aerial photographs and archived multispectral satellite images of the same period in a variety of applications, such as the temporal changes of cities, forests and archaeological sites. Full article
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15 pages, 4653 KiB  
Article
Learning to Describe: A New Approach to Computer Vision Based Ancient Coin Analysis
by Jessica Cooper and Ognjen Arandjelović
Sci 2020, 2(2), 27; https://doi.org/10.3390/sci2020027 - 17 Apr 2020
Cited by 4 | Viewed by 5295
Abstract
In recent years, a range of problems under the broad umbrella of computer vision based analysis of ancient coins have been attracting an increasing amount of attention. Notwithstanding this research effort, the results achieved by the state of the art in published literature [...] Read more.
In recent years, a range of problems under the broad umbrella of computer vision based analysis of ancient coins have been attracting an increasing amount of attention. Notwithstanding this research effort, the results achieved by the state of the art in published literature remain poor and far from sufficiently well performing for any practical purpose. In the present paper we present a series of contributions which we believe will benefit the interested community. We explain that the approach of visual matching of coins, universally adopted in existing published papers on the topic, is not of practical interest because the number of ancient coin types exceeds by far the number of those types which have been imaged, be it in digital form (e.g., online) or otherwise (traditional film, in print, etc.). Rather, we argue that the focus should be on understanding the semantic content of coins. Hence, we describe a novel approach—to first extract semantic concepts from real-world multimodal input and associate them with their corresponding coin images, and then to train a convolutional neural network to learn the appearance of these concepts. On a real-world data set, we demonstrate highly promising results, correctly identifying a range of visual elements on unseen coins with up to 84% accuracy. Full article
(This article belongs to the Special Issue Machine Learning and Vision for Cultural Heritage)
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9 pages, 221 KiB  
Article
Fall Risk in Older Adults Transitioning between Different Flooring Materials
by Hyung Nam Kim and Thurmon E. Lockhart
Sci 2020, 2(2), 25; https://doi.org/10.3390/sci2020025 - 10 Apr 2020
Cited by 3 | Viewed by 3294
Abstract
As there is lack of understanding about the effect of transitioning between different flooring materials on the gait of older adults, this study investigated the effect of transitioning between a carpeted floor and a vinyl floor on the gait characteristics of older adults. [...] Read more.
As there is lack of understanding about the effect of transitioning between different flooring materials on the gait of older adults, this study investigated the effect of transitioning between a carpeted floor and a vinyl floor on the gait characteristics of older adults. Fourteen older (65 years old and over) and 14 younger (18 to 35 years old) adults walked on different transitional floors by measuring various gait parameters. While the older participants had greater toe clearance than their younger counterparts, the older participants had smaller toe clearance on a carpeted floor than on a vinyl floor, which would increase the probability of a trip-induced fall. Further, the study found the slower transitional acceleration of the whole body COM and the increased friction demand, especially during the toe-off phase, rather than heel contact phase, which will lead to a slip-induced fall on a vinyl floor shortly after transitioning from a carpeted floor to a vinyl floor. Although the increased likelihood of a slip or trip accident was found throughout the changes in gait parameters, the older participants did not perceive of slipping and tripping much. Therefore, older adults are recommended to be made aware of the danger of slipping and tripping while transitioning between different flooring materials. Full article
16 pages, 1869 KiB  
Article
Static and Dynamic Evaluation of an UWB Localization System for Industrial Applications
by Mickaël Delamare, Remi Boutteau, Xavier Savatier and Nicolas Iriart
Sci 2020, 2(2), 23; https://doi.org/10.3390/sci2020023 - 3 Apr 2020
Cited by 18 | Viewed by 4773
Abstract
Many applications in the context of Industry 4.0 require precise localization. However, indoor localization remains an open problem, especially in complex environments such as industrial environments. In recent years, we have seen the emergence of Ultra WideBand (UWB) localization systems. The aim of [...] Read more.
Many applications in the context of Industry 4.0 require precise localization. However, indoor localization remains an open problem, especially in complex environments such as industrial environments. In recent years, we have seen the emergence of Ultra WideBand (UWB) localization systems. The aim of this article is to evaluate the performance of a UWB system to estimate the position of a person moving in an indoor environment. To do so, we implemented an experimental protocol to evaluate the accuracy of the UWB system both statically and dynamically. The UWB system is compared to a ground truth obtained by a motion capture system with a millimetric accuracy. Full article
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