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20 pages, 3662 KiB  
Article
How Vacancy of Dwellings Influences Energy Renovations of Multifamily Buildings
by Lauri Lihtmaa and Targo Kalamees
Energies 2025, 18(3), 603; https://doi.org/10.3390/en18030603 - 27 Jan 2025
Viewed by 519
Abstract
The European climate change mitigation agenda aims to decarbonise all buildings by 2050. However, many existing buildings may not remain operational by this time due to rapid urbanisation and population decline in various regions of Europe, potentially leading to the abandonment of residential [...] Read more.
The European climate change mitigation agenda aims to decarbonise all buildings by 2050. However, many existing buildings may not remain operational by this time due to rapid urbanisation and population decline in various regions of Europe, potentially leading to the abandonment of residential properties. The current EU renovation strategies often overlook the future of legacy buildings. The challenge lies in identifying which buildings are likely to become unserviceable and, therefore, unsuitable for significant energy efficiency upgrades. This study proposes the use of domestic consumption metering as a universal vacancy indicator to determine the actual underused dwellings in multifamily buildings. Our case study demonstrates that population registry-based datasets consistently overestimate vacancy rates when compared to the evidence provided by consumption metering data. Consumption-based vacancy rates exceeding 20 percent are associated with an unlikelihood of energy renovations, thereby impeding the aims of the energy efficiency transition. Spatial analysis reveals that vacancy rates increase as the distance from the regional centre to the building grows. This correlation indicates the presence of shrinking hinterlands and highlights the need to consider to what extent such regions should be targeted by incentives for energy renovations. We recommend utilising this vacancy indicator to estimate energy renovation scenarios in policymaking. Full article
(This article belongs to the Section C: Energy Economics and Policy)
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Figure 1
<p>The map of Estonian settlement structure in relation to regional demographic projections for 2024. Source: Statistic Estonia, authors’ calculations, and visualisation.</p>
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<p>Illustration of distance zones from regional centres. Zones below a radius of 5 km are not shown. Source: building registry, Statistic Estonia, authors’ calculations, and visualisation.</p>
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<p>The dependence of occupancy rate on distance from the nearest regional centre. The figure on the left (<b>a</b>) illustrates the overall occupancy rate while on the right (<b>b</b>), the growth type of settlement is shown. Source: building registry, Statistic Estonia, and authors’ calculations.</p>
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<p>The distribution of occupancy rate of renovated buildings. Source: building registry, Statistic Estonia, and authors’ calculations.</p>
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<p>Scatterplots of occupation rates. Scatterplot (<b>a</b>) includes all multifamily building types, and (<b>b</b>) shows only medium to very large types. Colours illustrate occupancy rate steps 0–50%, 50–80%, and 80–100%. Source: building registry, Statistic Estonia, authors’ calculations.</p>
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<p>Dependency of electricity consumption on occupation rate. Source: building registry, Statistic Estonia, and authors’ calculations.</p>
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25 pages, 7986 KiB  
Article
A Submerged and Buried Mesolithic Site off Svanemøllen Harbor, Copenhagen, Denmark: Acoustic Detection (Human-Altered Lithic Detection) and Verification by Means of Coring
by Lars Ole Boldreel, Ole Grøn, Rostand Boumda Tayong, Bo Madsen, Ole Bennike and Morten Sparre Andersen
Remote Sens. 2025, 17(3), 413; https://doi.org/10.3390/rs17030413 - 25 Jan 2025
Viewed by 638
Abstract
Teledyne Chirp III high-resolution seismic data were acquired over a three-year period at a water depth of 6.0–9.0 m, with a clear concentration of acoustic “haystack” features, in the dredged Svanemøllen Harbor, Copenhagen. The recordings show haystacks related to preserved shallow basins and [...] Read more.
Teledyne Chirp III high-resolution seismic data were acquired over a three-year period at a water depth of 6.0–9.0 m, with a clear concentration of acoustic “haystack” features, in the dredged Svanemøllen Harbor, Copenhagen. The recordings show haystacks related to preserved shallow basins and rivers in the paleo-coastal setting. Eleven short vibrocores were retrieved below these pronounced haystacks and a sandy interval, underlain by clayey till and overlain by harbor mud, which represent the basin configuration. Two cores contained four pieces of knapped flint in the sandy interval (statistical density of around 230 pieces per square meter), while the remaining cores did not reach the desired depth. Finite Element (FE) modeling revealed that the small pieces of knapped flint were resonant and that the acoustic impedance of the flint was high. The Svanemøllen Harbor site is a hitherto unknown buried Stone Age site, and this is the first time ever that an unknown submerged, buried Stone Age site has been acoustically detected (using Teledyne Chirp III), verified by means of coring and modeled using FE modeling. The Innomar and Geopulse data acquired at the site did not register any haystacks. Due to the global sea level rise after the Last Glacial Maximum, a significant part of the world’s submerged Stone Age sites must be expected to be buried in seafloor sediments. Full article
(This article belongs to the Section Environmental Remote Sensing)
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<p>(<b>a</b>) The study area of Svanemøllen Harbor, Copenhagen, Denmark. (<b>b</b>) A location map of the harbor area. (<b>c</b>) A bathymetric map (contour interval: 0.5 m) of the study area with the location of the Chirp III seismic profiles and vibrocores (vibrocores 1–8 and A and B). Red markings along the seismic profiles show observed haystacks. The colored stars show the location of the seismic profiles in <a href="#remotesensing-17-00413-f003" class="html-fig">Figure 3</a>, Figures 6 and 7. The triangles at the NE and SW corners of the study area mark the coordinates of the study area. Graphics: L.O. Boldreel.</p>
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<p>A location map of study area with the Innomar and Chirp III profiles. The red markings along the Chirp III profiles show the haystacks’ locations. The white and green stars show the locations where the Innomar and Chirp III profiles were recorded at the same location. The seismic profiles are shown in Figure 7. Graphics: L.O. Boldreel.</p>
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<p>Parts of four seismic profiles: (<b>a</b>) line 0009; (<b>b</b>) line 0024; (<b>c</b>) line 0002; (<b>d</b>) line 0010. For their locations, see <a href="#remotesensing-17-00413-f001" class="html-fig">Figure 1</a>. Depth is measured in TWT msec; the length of the scale bar is 10 m. The small blue triangles along the horizontal axis on the seismic profiles show intersecting (crossing) seismic profiles. Geographic coordinates are noted for the start and end of the parts of the seismic profiles shown in this figure. The location of the seafloor is marked, and in (<b>a</b>,<b>b</b>) at the seafloor, the reflector is pronounced, whereas it is weak in (<b>c</b>,<b>d</b>). The orientations of the profiles are marked. Selected haystacks are shown on the seismic profiles using red dashed lines. Profiles (<b>a</b>,<b>b</b>) show pronounced haystacks that are located above small basins that are found below the seafloor. Profile (<b>c</b>) shows a small haystack to the left and a series of sub-vertical individual disturbances in the water column. Profile (<b>d</b>) shows pronounced vertical disturbances in the water column, located above two separated areas that are characterized by high reflectivity (large acoustic impedance contrasts) below the seafloor, which shows a material (different from sand) being deposited in a sandy environment. Graphics: L.O. Boldreel.</p>
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<p>The short vibrocores 1–5, 7–8, A and B. (<b>a</b>) The water depth at the locations of the cores and the length of the cores, measured in m below the seafloor. (<b>b</b>) The lithology of the vibrocores. The arrangement of the cores shows the distribution of the cores, in that the cores to the left represent the outer part of the study area, where harbor mud, marine sand, gravel and clayey till are present. The cores in the central and eastern part of the study area are characterized by fine-grained sand/silt. Cores A and B contain flint pieces. Graphics: L.O. Boldreel.</p>
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<p>The four flint pieces retrieved from cores A and B. The images are intended for archeological inspection and show the pieces from both sides. Photo: O. Grøn.</p>
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<p>A pronounced haystack (shown by the red dashed line) at seismic profile 0007, with the location of cores A and B (for location, see <a href="#remotesensing-17-00413-f001" class="html-fig">Figure 1</a>). The blue triangles at the top of the seismic profile show intersecting Chirp III seismic profiles. The depth scale is in TWT ms. Geographic coordinates are shown for the start and end of the part of the seismic profile that is shown. Five interpreted geological units a through d are marked. Cores A and B terminate in unit c, which forms a paleolandscape that is characterized by high areas surrounded by low-lying areas, likely in a fluvial or near-coastal area. The haystack extends over the two high areas and the low-lying area between them. The scale bar is 12.5 m. Graphics: L.O. Boldreel.</p>
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<p>Comparison between Chirp III and Innomar seismic profiles, acquired at the same positions. The location of the profiles is shown in <a href="#remotesensing-17-00413-f001" class="html-fig">Figure 1</a> and <a href="#remotesensing-17-00413-f002" class="html-fig">Figure 2</a>. Geographic coordinates are shown for the start and end of the parts of the seismic profiles that are shown. In this figure, the Chirp III data show haystacks (marked by red dashed lines), whereas the Innomar data do not show these structures. The geologies below the seafloor that were revealed using the Chirp III and Innomar profiles correspond closely to each other. (<b>a</b>) Innomar profile W0022_06072021_105227; (<b>b</b>) Chirp III profile 0008; (<b>c</b>) Innomar profile w0005_06072021_101446; (<b>d</b>) Chirp III profile 0020. Graphics: L.O. Boldreel.</p>
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<p>(<b>a</b>) Original picture of the four pieces of flint. The photo is intended for modeling and can be compared with (<b>b</b>,<b>c</b>) (the orientations of the samples differ from those in <a href="#remotesensing-17-00413-f005" class="html-fig">Figure 5</a>). (<b>b</b>) The CAD geometries that were obtained for the Svanemøllen Harbor pieces using a 3D Computed Tomography scanner. The lines in the geometry were generated using the STL file format to create the exact surfaces at each location. (<b>c</b>) The CAD geometries imported to the Finite Element environment and showing the extrafine meshing that was generated for the four pieces studied. Graphic: R.B. Tayong.</p>
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<p>An example of the error function, exemplified by flint piece 1 (shown in <a href="#remotesensing-17-00413-f008" class="html-fig">Figure 8</a>), obtained for the simulations showing the convergence of the Finite Element model. Graphic: R.B. Tayong.</p>
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<p>(<b>a</b>–<b>d</b>). The modal shapes (deflection patterns) of the four flint pieces showing the first four modes that were obtained under free boundary conditions. Both the front and side views are presented here. The displacement result is shown in mm. (<b>a</b>) Flint piece 1; (<b>b</b>) flint piece 2; (<b>c</b>) flint piece 3; and (<b>d</b>) flint piece 4. The flint pieces are shown in <a href="#remotesensing-17-00413-f008" class="html-fig">Figure 8</a>. Graphic: R.B. Tayong.</p>
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<p>(<b>a</b>–<b>d</b>). The modal shapes (deflection patterns) of the four flint pieces showing the first four modes that were obtained under free boundary conditions. Both the front and side views are presented here. The displacement result is shown in mm. (<b>a</b>) Flint piece 1; (<b>b</b>) flint piece 2; (<b>c</b>) flint piece 3; and (<b>d</b>) flint piece 4. The flint pieces are shown in <a href="#remotesensing-17-00413-f008" class="html-fig">Figure 8</a>. Graphic: R.B. Tayong.</p>
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<p>Study area: (<b>a</b>) A bathymetric map in colors, with the Chirp III seismic profiles and vibrocores located (see also <a href="#remotesensing-17-00413-f001" class="html-fig">Figure 1</a>). The orange-colored area to the west shows the water depth in the study area outside of the dredged harbor basin. The sharp contour pattern shows the scar down to the dredged area in Svanemøllen Harbor, indicating that the dredging is approx. 2–3 m. (<b>b</b>) The present naval chart of Svanemøllen Harbor, where the replacement port was established in 2022 as a result of infrastructure constructions (North Harbor Tunnel) in Copenhagen. Further investigations are prohibited until the replacement harbor is decommissioned. The dredged sailing route shows that the dredged area is in the order 2–3 m. (<b>c</b>) The location of the study area on an aerial photo from 1954, showing that the study area is located at a suitable distance from the present-day coastline in an area where the water depth is approx. 5 m if it is not dredged. The dredging of 2–3 m and the depth to flint pieces 1 and 2 (core A) show that the depth to the pieces is approx. 6 m, giving a relative sea level rise of 7–8 m at the settlement of the Svanemøllen Harbor Stone Age site. Graphics: L.O. Boldreel.</p>
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<p>Three maps showing Mesolithic settlements in the region of the study area: (<b>a</b>) Maglemose; (<b>b</b>) Kongemose; (<b>c</b>) Ertebølle. Three major present-day cities are shown using blue numbering. The red star indicates the eastern part of Copenhagen, an area named Amager, and the purple star shows the location of the island Saltholm. All discovered settlements are located on land or in shallow water, apart from one settlement from Maglemose and one from Kongemose, which were located by divers [<a href="#B31-remotesensing-17-00413" class="html-bibr">31</a>,<a href="#B32-remotesensing-17-00413" class="html-bibr">32</a>,<a href="#B33-remotesensing-17-00413" class="html-bibr">33</a>]. Graphics: L.O. Boldreel based on [<a href="#B31-remotesensing-17-00413" class="html-bibr">31</a>,<a href="#B33-remotesensing-17-00413" class="html-bibr">33</a>].</p>
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16 pages, 11828 KiB  
Article
A Precise Oxide Film Thickness Measurement Method Based on Swept Frequency and Transmission Cable Impedance Correction
by Yifan Li, Qi Xiao, Lisha Peng, Songling Huang and Chaofeng Ye
Sensors 2025, 25(2), 579; https://doi.org/10.3390/s25020579 - 20 Jan 2025
Viewed by 547
Abstract
Accurately measuring the thickness of the oxide film that accumulates on nuclear fuel assemblies is critical for maintaining nuclear power plant safety. Oxide film thickness typically ranges from a few micrometers to several tens of micrometers, necessitating a high-precision measurement system. Eddy current [...] Read more.
Accurately measuring the thickness of the oxide film that accumulates on nuclear fuel assemblies is critical for maintaining nuclear power plant safety. Oxide film thickness typically ranges from a few micrometers to several tens of micrometers, necessitating a high-precision measurement system. Eddy current testing (ECT) is commonly employed during poolside inspections due to its simplicity and ease of on-site implementation. The use of swept frequency technology can mitigate the impact of interference parameters and improve the measurement accuracy of ECT. However, as the nuclear assembly is placed in a pool for inspection, a cable several dozen meters in length is used to connect the ECT probe to the instrument. The measurement is affected by the transmission line and its effect is a function of the operating frequencies, resulting in errors for swept frequency measurements. This paper proposes a method for precisely measuring oxide film thickness based on the swept frequency technique and long transmission line impedance correction. The signals are calibrated based on a transmission line model of the cable, effectively eliminating the influence of the transmission cable. A swept frequency signal-processing algorithm is developed to separate the parameters and calculate oxide film thickness. To verify the feasibility of the method, measurements are conducted on fuel cladding samples with varying conductivities. It is found that the method can accurately assess oxide film thickness with varying conductivity. The maximum error is 3.42 μm, while the average error is 1.82 μm. The impedance correction reduces the error by 66%. The experimental results indicate that this method can eliminate the impact of long transmission cables, and the algorithm can mitigate the influence of material conductivity. This method can be utilized to measure oxide film thickness in nuclear power maintenance inspections following extensive testing and engineering optimization. Full article
(This article belongs to the Special Issue Intelligent Sensors and Signal Processing in Industry)
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Figure 1
<p>Typical structure of a fuel rod with an oxide film.</p>
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<p>Equivalent circuit model of a coil and transmission cable.</p>
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<p>A schematic diagram of the measurement circuit.</p>
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<p>The flowchart of the inversely calculation of the corrected impedance.</p>
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<p>The diagram of the thickness measurement algorithm.</p>
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<p>The schematic diagram of the probe.</p>
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<p>Frequency characteristic curve of the coil and the cable.</p>
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<p>Schematic diagram of the experimental system.</p>
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<p>Photograph of the experimental apparatus.</p>
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<p>Experiment results: voltage (<math display="inline"><semantics> <mrow> <msub> <mrow> <mi>V</mi> </mrow> <mrow> <mi>m</mi> </mrow> </msub> </mrow> </semantics></math>) vs. frequency, (<b>a</b>) in−phase component and (<b>b</b>) quadrature component.</p>
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<p>In−phase (<b>a</b>) and quadrature (<b>b</b>) components of impedance <math display="inline"><semantics> <mrow> <msub> <mrow> <mi>Z</mi> </mrow> <mrow> <mi mathvariant="normal">c</mi> </mrow> </msub> </mrow> </semantics></math> after impedance correction.</p>
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<p>Comparison of thickness measurement results of zirconium alloy samples before and after impedance correction.</p>
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13 pages, 312 KiB  
Article
Indicators of Obesity and Cardiorespiratory Fitness in Croatian Children
by Marko Badrić, Leona Roca, Vladan Pelemiš, Dragan Branković and Vladimir Živanović
J. Funct. Morphol. Kinesiol. 2024, 9(4), 250; https://doi.org/10.3390/jfmk9040250 - 29 Nov 2024
Cited by 1 | Viewed by 2725
Abstract
Background/Objectives: The aim of this study is to investigate the relationship between CRF (cardiorespiratory fitness) and body composition, specifically obesity indicators, in a sample of schoolchildren from the continental and Adriatic regions of the Republic of Croatia. Given that Croatia ranks among the [...] Read more.
Background/Objectives: The aim of this study is to investigate the relationship between CRF (cardiorespiratory fitness) and body composition, specifically obesity indicators, in a sample of schoolchildren from the continental and Adriatic regions of the Republic of Croatia. Given that Croatia ranks among the leading countries in Europe in terms of obesity, it is believed that there is a need to combat this condition starting from school age. The usefulness of cardiorespiratory fitness (CRF) lies in the fact that it is one of the indicators of children’s overall health and is considered a measure of general health status. The findings will emphasize the need to determine CRF and BMI as important factors that should be addressed from early school years in order to prevent future cardiovascular diseases. Methods: The total sample consisted of 423 students, including 212 girls and 211 boys, from the continental and Adriatic regions of the Republic of Croatia, with an average age of 10.32 years. Body height was measured using a portable stadiometer, while body weight, body mass index (BMI), and body fat percentage were measured using a dual-frequency body composition analyzer (TANITA DC-360P) based on the principles of bioelectrical impedance. The WHR index was calculated as the ratio of waist to hips, while the WHtR index was calculated as the ratio of waist circumference to height. Cardiorespiratory fitness was assessed using the 20-meter multistage shuttle run test. Results: The results show that 25% of the participants were overweight, and 9% were obese. The ANOVA results indicate that the boys had significantly higher values for BMI, WC, HC, WHtR, and WHR, while the girls had a significantly higher body fat percentage (BF%). Additionally, the boys had better CRF, as they ran more meters in the 20-meter shuttle run test. The variance analysis revealed that the participants with normal body weight had significantly higher cardiorespiratory capacity values compared to overweight or obese students. Regression analysis showed statistical significance for the set of predictor variables, which were BMI indicators, on the criterion variable predicting cardiorespiratory fitness (CRF) in both genders. The coefficient of determination (R2) explained almost 22% of the shared variability in boys and 19% in girls. Statistically significant beta coefficients were found for body fat percentage (−0.60) in boys and (−0.98) in girls. Conclusions: Body fat percentage (BF%) was shown to be a significant and useful predictor of cardiorespiratory fitness in school-aged boys and girls. Maintaining an optimal body weight along with high levels of CRF should be an important goal in promoting health among children and adolescents. Full article
(This article belongs to the Section Physical Exercise for Health Promotion)
16 pages, 7099 KiB  
Article
Economical Experimental Device for Evaluating Thermal Conductivity in Construction Materials under Limited Research Funding
by Damien Ali Hamada Fakra, Rijalalaina Rakotosaona, Marie Hanitriniaina Ratsimba, Mino Patricia Randrianarison and Riad Benelmir
Metrology 2024, 4(3), 430-445; https://doi.org/10.3390/metrology4030026 - 30 Aug 2024
Viewed by 1166
Abstract
African scientific research faces formidable challenges, particularly with limited access to state-of-the-art measurement instruments. The high cost associated with these devices presents a significant barrier for regional research laboratories, impeding their ability to conduct sophisticated experiments and gather precise data. This predicament not [...] Read more.
African scientific research faces formidable challenges, particularly with limited access to state-of-the-art measurement instruments. The high cost associated with these devices presents a significant barrier for regional research laboratories, impeding their ability to conduct sophisticated experiments and gather precise data. This predicament not only hampers the individual laboratories but also has broader implications for the African scientific community and the advancement of knowledge in developing nations—the financial cost barrier considerably impacts the research quality of these laboratories. Reflection on technical and economical solutions needs to be quickly found to help these countries advance their research. In civil engineering, the thermal conductivity property is the most important measurement for characterizing heat transfer in construction materials. Existing devices (i.e., conductometers) in a laboratory are expensive (approximately EUR 30,000) and unavailable for some African laboratories. This study proposes a new and affordable device to evaluate thermal conductivity in construction materials. The method involves establishing a thermal flux between a heat source (from the Joule effect provided by steel wool where a current is circulating) and a cold source (generated by ice cubes) under steady-state conditions. The development of the cylindrical prototype is based on the comparative flux-meter method outlined in the measuring protocol of the ASTM E1225 standard document. Experiments were conducted on four distinct materials (polystyrene, wood, agglomerated wood, and rigid foam). The results indicate a correct correlation between the experimental values obtained from the newly developed prototype and the reference values found in the literature. For example, concerning the experimental polystyrene study, the detailed case analysis reveals a good correlation, with a deviation of only 4.88%. The percent error found falls within the acceptable range indicated by the standard recommendations of the ASTM E1225 standard, i.e., within 5% acceptable error. Full article
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Figure 1
<p>Schematic view of the experimental thermal exchange model (<math display="inline"><semantics> <msub> <mi>T</mi> <mn>1</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>2</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>3</mn> </msub> </semantics></math> &gt; <math display="inline"><semantics> <msub> <mi>T</mi> <mn>4</mn> </msub> </semantics></math>).</p>
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<p>Description of the conduct-meter prototype with the dimension of each component.</p>
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<p>(<b>A</b>): hot source of the device made with a steel wool filament and current generator; (<b>B</b>): data acquisition and electric current connection for respectively the thermocouple and the hot source (i.e., “hot spring”).</p>
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<p>Visualization and dimensions of calorimeter thermal insulation.</p>
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<p>Temperature observed from the infrared camera of the conduct-meter prototype outside (i.e., two pictures: (<b>1</b>,<b>2</b>)) and inside (i.e., two pictures: (<b>3</b>,<b>4</b>)) taken over seven hours. The two top images (i.e., (<b>1</b>,<b>3</b>)) indicate the initial times, and the two bottom images (i.e., (<b>2</b>,<b>4</b>)) indicate the final times.</p>
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<p>Acquisition chain (see <a href="#app2-metrology-04-00026" class="html-app">Appendix B</a> for more information about the datalogger CR3000) of the thermocouple Type T test calibration.</p>
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<p>Comparison of the average experimental thermal conductivity value <math display="inline"><semantics> <msub> <mi>λ</mi> <mrow> <mi>e</mi> <mi>x</mi> <mi>p</mi> </mrow> </msub> </semantics></math> of the polystyrene sample with the reference value (i.e., theoretical) <math display="inline"><semantics> <msub> <mi>λ</mi> <mrow> <mi>t</mi> <mi>h</mi> <mi>e</mi> <mi>o</mi> <mi>r</mi> <mi>e</mi> <mi>t</mi> <mi>i</mi> <mi>c</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </semantics></math> (given by the manufacturer).</p>
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14 pages, 3480 KiB  
Article
Comparative Analysis of Muscle Activity and Circulatory Dynamics: A Crossover Study Using Leg Exercise Apparatus and Ergometer
by Nobuhiro Hirasawa, Yukiyo Shimizu, Ayumu Haginoya, Yuichiro Soma, Gaku Watanabe, Kei Takehara, Kayo Tokeji, Yuki Mataki, Ryota Ishii and Yasushi Hada
Medicina 2024, 60(8), 1260; https://doi.org/10.3390/medicina60081260 - 3 Aug 2024
Cited by 1 | Viewed by 1176 | Correction
Abstract
Background and Objectives: Bedridden patients are at a high risk of venous thromboembolism (VTE). Passive devices such as elastic compression stockings and intermittent pneumatic compression are common. Leg exercise apparatus (LEX) is an active device designed to prevent VTE by effectively contracting [...] Read more.
Background and Objectives: Bedridden patients are at a high risk of venous thromboembolism (VTE). Passive devices such as elastic compression stockings and intermittent pneumatic compression are common. Leg exercise apparatus (LEX) is an active device designed to prevent VTE by effectively contracting the soleus muscle and is therefore expected to be effective in preventing disuse of the lower limbs. However, few studies have been conducted on the kinematic properties of LEX. Therefore, this study aimed to compare the exercise characteristics of LEX with those of an ergometer, which is commonly used as a lower-limb exercise device, and examine its effect on the two domains of muscle activity and circulatory dynamics. Materials and Methods: This study used a crossover design in which each participant performed both exercises to evaluate the exercise characteristics of each device. Fifteen healthy adults performed exercises with LEX and an ergometer (Terasu Erugo, SDG Co., Ltd., Tokyo, Japan) for 5 min each and rested for 10 min after each exercise. Muscle activity was measured using surface electromyography (Clinical DTS, Noraxon, Scottsdale, AZ, USA), and circulatory dynamics were recorded using a non-invasive impedance cardiac output meter (Physioflow Enduro, Manatec Biomedical, Paris, France). The primary outcome was the mean percentage of maximum voluntary contraction (%MVC) of the soleus muscle during exercise. Results: The mean %MVC of the soleus muscle was significantly higher in the LEX group, whereas no significant differences were observed across the periods and sequences. Heart rate, stroke volume, and cardiac output increased during exercise and decreased thereafter; however, the differences between the devices were not significant. Conclusions: LEX may not only have a higher thromboprophylaxis effect, but also a higher effect on preventing muscle atrophy as a lower-extremity exercise device. Additionally, LEX could potentially be used safely in patients who need to be monitored for changes in circulatory dynamics. Full article
(This article belongs to the Section Hematology and Immunology)
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Figure 1
<p>LEX, which comprises right and left pedals, shoes, a metal base, hooks, and a motion control mechanism. LEX: leg exercise apparatus.</p>
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<p>Illustrations depicting each exercise. The <b>upper</b> photos show the exercise with LEX and the <b>lower</b> photos show the exercise with an ergometer.</p>
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<p>Schematic diagram of the exercises. “Exercise 1” indicates the first exercise performed, and “Exercise 2” indicates the second exercise performed. The arrows indicate the time point at which the circulatory dynamics were assessed, and the asterisks (*) indicate the time point at which the modified Borg scale score was obtained.</p>
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<p>The average changes in heart rate (<b>a</b>), stroke volume (<b>b</b>) and cardiac output (<b>c</b>) during and after exercises with LEX and the ergometer. The vertical axis represents the percentage of the value at rest and the horizontal axis the number of minutes elapsed since the start of the exercise session. Exercise was performed for 5 min after the start of the session and rest was performed thereafter. LEX: leg exercise apparatus.</p>
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<p>The average changes in heart rate (<b>a</b>), stroke volume (<b>b</b>) and cardiac output (<b>c</b>) during and after exercises with LEX and the ergometer. The vertical axis represents the percentage of the value at rest and the horizontal axis the number of minutes elapsed since the start of the exercise session. Exercise was performed for 5 min after the start of the session and rest was performed thereafter. LEX: leg exercise apparatus.</p>
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<p>Comparative modified Borg scale ratings for respiration following exercise with LEX (<b>a</b>) and ergometer (<b>b</b>). The vertical axis represents the modified Borg scale score for respiration in each participant, and the horizontal axis represents the number of minutes elapsed since the start of the exercise session. LEX: leg exercise apparatus.</p>
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<p>Comparative modified Borg scale ratings for leg fatigue following exercise with LEX (<b>a</b>) and the ergometer (<b>b</b>). The vertical axis represents the modified Borg scale score for leg fatigue in each participant, and the horizontal axis represents the number of minutes elapsed since the start of the exercise session. LEX: leg exercise apparatus.</p>
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18 pages, 3118 KiB  
Article
Temporal Dynamics of Plasma Catecholamines, Metabolic and Immune Markers, and the Corticosterone:DHEA Ratio in Farmed Crocodiles before and after an Acute Stressor
by Andre A. Swanepoel, Christoff Truter, Francois P. Viljoen, Jan G. Myburgh and Brian H. Harvey
Animals 2024, 14(15), 2236; https://doi.org/10.3390/ani14152236 - 31 Jul 2024
Viewed by 1355
Abstract
Commercial crocodilian farms face significant economic and livestock losses attributed to stress, which may be linked to their adopted husbandry practices. The development of appropriate and modernized husbandry guidelines, particularly those focused on stress mitigation, is impeded by the limited understanding of the [...] Read more.
Commercial crocodilian farms face significant economic and livestock losses attributed to stress, which may be linked to their adopted husbandry practices. The development of appropriate and modernized husbandry guidelines, particularly those focused on stress mitigation, is impeded by the limited understanding of the crocodilian stress response. Fifteen grower Nile crocodiles were subjected to simulated acute transport stress, with blood samples collected at various intervals post-stress. Plasma levels of corticosterone (CORT), dehydroepiandrosterone (DHEA), adrenaline, and noradrenaline were determined using high-performance liquid chromatography. Glucose and lactate were measured using portable meters and the heterophil-to-lymphocyte ratio (HLR) was determined via differential leucocyte counts. Significant differences were elicited after the stressor, with acute fluctuations observed in the fast-acting catecholamines (adrenaline and noradrenaline) when compared to the baseline. Downstream effects of these catecholamines and CORT appear to be associated with a persistent increase in plasma glucose and HLR. Lactate also showed acute fluctuations over time but returned to the baseline by the final measurement. DHEA, which is used in a ratio with CORT, showed fluctuations over time with an inverted release pattern to the catecholamines. The study highlights the temporal dynamics of physiological markers under acute stress, contributing to our understanding of crocodilian stress and potentially informing improved farming practices for conservation and sustainable management. Full article
(This article belongs to the Section Animal Physiology)
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<p>Illustration of the crocodylian HPI and SAM axes. The pathway on the left illustrates the fast-acting response of the SAM axes to a perceived stressor, wherein noradrenaline and adrenaline are released from the steroidogenic tissues in the adrenal gland. The pathway illustrated on the right illustrates the HPI axis, with CRH and ACTH regulating the release of corticosterone from the chromaffin cells in the adrenal glands. Negative feedback mechanisms of both axes are shown with the dotted lines. ACTH: Adrenocorticotropic hormone; CRH: Corticotropin-releasing hormone; HPI: Hypothalamic–pituitary–interrenal; SAM: Sympathetic adrenomedullary.</p>
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<p>Graphical representation of the change in noradrenaline and adrenaline levels post-stress, over the time periods, as indicated, showing plasma concentrations (ng/mL) of noradrenaline (blue dots; * <span class="html-italic">p</span> &lt; 0.05) and adrenaline (red squares; # <span class="html-italic">p</span> &lt; 0.05 over time). Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the standard error of the mean (SEM). Sample size (n) = 15.</p>
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<p>Graphical representation of the change in CORT and DHEA levels post-stress, over the time periods as indicated, showing plasma concentrations (ng/mL) of CORT (blue dots; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.001) and DHEA (red squares; # <span class="html-italic">p</span> &lt; 0.05; ## <span class="html-italic">p</span> &lt; 0.001) over time. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
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<p>Graphical representation of the change in the CORT:DHEA ratio post stress over the time periods, as indicated. Base-line blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
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<p>Graphical representation of the change in glucose and lactate levels post stress over the time periods, as indicated, showing plasma concentrations (mmol/L) of glucose (blue dots; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.001; *** <span class="html-italic">p</span> &lt; 0.0001) and lactate (red squares; # <span class="html-italic">p</span> &lt; 0.05; ## <span class="html-italic">p</span> &lt; 0.001) over time. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
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<p>Graphical representation of the change in HLR levels (blue dots; * <span class="html-italic">p</span> &lt; 0.05) post stress over the time periods, as indicated. Baseline blood withdrawal (BL; Day 1). Day 32 blood withdrawals with 7-h transport simulation stress: blood withdrawal immediately post-capture (T0H); blood withdrawal two hours post-capture (T2H); and blood withdrawal seven hours post-capture (T7H). Error bars indicate the calculated SEM. n = 15.</p>
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23 pages, 4576 KiB  
Article
Estimation of Railway Line Impedance at Low Frequency Using Onboard Measurements Only
by Andrea Mariscotti
Energies 2024, 17(15), 3739; https://doi.org/10.3390/en17153739 - 29 Jul 2024
Viewed by 1090
Abstract
Estimating line impedance is relevant in transmission and distribution networks, in particular for planning and control. The large number of deployed PMUs has fostered the use of passive indirect methods based on network model identification. Electrified railways are a particular example of a [...] Read more.
Estimating line impedance is relevant in transmission and distribution networks, in particular for planning and control. The large number of deployed PMUs has fostered the use of passive indirect methods based on network model identification. Electrified railways are a particular example of a distribution network, with moving highly dynamic loads, that would benefit from line impedance information for energy efficiency and optimization purposes, but for which many of the methods used in industrial applications cannot be directly applied. The estimate is carried out onboard using a passive method in a single-point perspective, suitable for implementation with energy metering onboard equipment. A comparison of two methods is carried out based on the non-linear least mean squares (LMS) optimization of an over-determined system of equations and on the auto- and cross-spectra of the pantograph voltage and current. The methods are checked preliminarily with a simulated synthetic network, showing good accuracy, within 5%. They are then applied to measured data over a 20 min run over the Swiss 16.7 Hz railway network. Both methods are suitable to track network impedance in real time during the train journey; but with suitable checks on the significance of the pantograph current and on the values of the coefficient of determination, the LMS method seems more reliable with predictable behavior. Full article
(This article belongs to the Section F: Electrical Engineering)
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<p>Simplified schematic of (<b>a</b>) a <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz railway traction supply (from [<a href="#B8-energies-17-03739" class="html-bibr">8</a>]) and (<b>b</b>) hot and cold paths (from [<a href="#B9-energies-17-03739" class="html-bibr">9</a>], with slight modifications).</p>
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<p>Equivalent circuit for the supply network (black, <b>left</b> of P) and rolling stock (light blue, <b>right</b> of P). The pantograph P is the tapping point at which the impedance estimate is carried out.</p>
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<p>Simulated circuit including a generator and a feeding line connected to a single-phase rectifier with random power absorption level: (<b>a</b>) network schematic and (<b>b</b>) voltage (blue) and current (orange) waveforms.</p>
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<p>Network impedance measured with the impedance tool of Matlab Simulink: (<b>a</b>) amplitude and (<b>b</b>) phase at the fundamental frequency of <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz.</p>
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<p>Comparison of the estimated network impedance at <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz for the LMS (blue) and ACS (red) algorithms, together with the reference impedance value as in <a href="#energies-17-03739-f004" class="html-fig">Figure 4</a> (amplitude and phase).</p>
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<p>Measurement system showing (<b>a</b>) the data acquisition system together with filters (top right), and the Rogowski coils used during the tests positioned (<b>b</b>) on the locomotive roof and (<b>c</b>) on the onboard transformer’s primary terminal. (Reprinted with permission from <span class="html-italic">IEEE Transactions on Instrumentation and Measurement</span> [<a href="#B59-energies-17-03739" class="html-bibr">59</a>]).</p>
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<p>Overview of the pantograph spectra for (<b>a</b>) voltage <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and (<b>b</b>) current <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> over a short run of 250 s (quantities at the fundamental are removed to increase the dynamic range of the vertical axis to improve the representation of the harmonic components).</p>
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<p>Overview of the pantograph spectra for (<b>a</b>) voltage <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and (<b>b</b>) current <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> over a short run of 250 s (quantities at the fundamental are removed to increase the dynamic range of the vertical axis to improve the representation of the harmonic components).</p>
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<p>Extracted fundamental component of <math display="inline"><semantics> <msub> <mi>V</mi> <mi>p</mi> </msub> </semantics></math> and absolute value of <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math>, <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math>, vs. time.</p>
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<p>Input active power compared to the absolute value of the <math display="inline"><semantics> <msub> <mi>I</mi> <mi>p</mi> </msub> </semantics></math> fundamental <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math> vs. time.</p>
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<p>(<math display="inline"><semantics> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> vs. time by LMS algorithm including all samples (<b>top</b>), compared with the intensity of the input current at the fundamental <math display="inline"><semantics> <mrow> <mrow> <mo stretchy="false">|</mo> </mrow> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo stretchy="false">|</mo> </mrow> </mrow> </semantics></math> (<b>bottom</b>).</p>
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<p>Values of <math display="inline"><semantics> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> vs. time showing a reduction in data dispersion and improvement in the estimate adopting two criteria on <math display="inline"><semantics> <msub> <mi>I</mi> <mrow> <mi>p</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> amplitude and <math display="inline"><semantics> <msup> <mi>R</mi> <mn>2</mn> </msup> </semantics></math> amplitude: set1 with all data included (gray points), set2 with <math display="inline"><semantics> <mrow> <mi>I</mi> <mi>p</mi> <mo>&lt;</mo> <mn>20</mn> <mo> </mo> <mi mathvariant="normal">A</mi> </mrow> </semantics></math> (light blue points), and set3 with <math display="inline"><semantics> <mrow> <msup> <mi>R</mi> <mn>2</mn> </msup> <mo>≥</mo> <mn>0.8</mn> </mrow> </semantics></math> (orange points). The two last sets lead to two interpolating curves of order 5, shown in black (set2) and magenta (set3).</p>
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<p>Estimate of <math display="inline"><semantics> <msub> <mi>Z</mi> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> </semantics></math> by the ACS algorithm for two different choices of the number of windows for the Welch spectra estimate: (<b>a</b>) <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>W</mi> </msub> <mo>=</mo> <mn>5</mn> </mrow> </semantics></math>, (<b>b</b>) <math display="inline"><semantics> <mrow> <msub> <mi>N</mi> <mi>W</mi> </msub> <mo>=</mo> <mn>15</mn> </mrow> </semantics></math>. Intervals with coherence <math display="inline"><semantics> <mrow> <mover accent="true"> <mi>C</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> <mo>≥</mo> <mn>0.8</mn> </mrow> </semantics></math> are highlighted in red, and correspondingly, the estimate <math display="inline"><semantics> <mrow> <msub> <mover accent="true"> <mi>Z</mi> <mo stretchy="false">^</mo> </mover> <mrow> <mi>n</mi> <mo>,</mo> <mn>1</mn> </mrow> </msub> <mrow> <mo>(</mo> <mi>t</mi> <mo>)</mo> </mrow> </mrow> </semantics></math> is plotted in black.</p>
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<p>Estimate of the instantaneous fundamental frequency of the <math display="inline"><semantics> <mrow> <mn>16.7</mn> </mrow> </semantics></math> Hz system using FFT followed by parabolic interpolation around the fundamental component.</p>
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10 pages, 6107 KiB  
Article
Formation and Property of Al2O3-TiO2 Composite Anodic Oxide Film on DC-Etched Al Foil for Al Electrolytic Capacitors
by Chaolei Ban, Yutong Yang, Shengnan Yu and Qingxu Wu
Coatings 2024, 14(8), 947; https://doi.org/10.3390/coatings14080947 - 28 Jul 2024
Viewed by 1106
Abstract
This research article aims to improve the specific capacitance of DC-etched Al foil for Al electrolytic capacitors by forming an Al2O3-TiO2 composite anodic oxide film. DC-etched Al foils for aluminum electrolytic capacitors were immersed in a TiO2 [...] Read more.
This research article aims to improve the specific capacitance of DC-etched Al foil for Al electrolytic capacitors by forming an Al2O3-TiO2 composite anodic oxide film. DC-etched Al foils for aluminum electrolytic capacitors were immersed in a TiO2 precursor sol, followed by calcination and anodizing to manufacture a TiO2-Al2O3 composite anodic oxide film. TiO2 precursor sol–gel particles after calcination were analyzed by XRD. During anodization, the anode potential with time was measured by a digital meter. A scanning electron microscope, electrochemical impedance measurements, and a general digital LCR meter were adopted to explore the microstructure and property of the anodic oxide films. The specific capacitance for the TiO2-Al2O3 composite anodic oxide film and a pure Al anodic one is 3.013 μF/cm2 and 2.435 μF/cm2 at C60V, respectively. The thickness is 87.26 nm for the former and 177.65 nm for the latter. The results show that the TiO2-Al2O3 composite anodic oxide film is about 51% thinner than the single Al anodic film, accounting for a large improvement in specific capacitance. The formation efficiency of the pretreated sample is much higher than that of the blank sample, owing to the pre-deposited TiO2 layer and thermal Al oxide layer. However, the composite anodic oxide film’s specific resistance was reduced and its dielectric loss was also aggravated, resulting from the doping-introduced structural defects. Full article
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<p>XRD style of TiO<sub>2</sub> precursor gel heated at 500 °C for 5 min.</p>
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<p>Changes in anode potential with anodizing time for TiO<sub>2</sub>-coated sample and blank one.</p>
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<p>Surface microstructure of anodized specimens (<b>a</b>,<b>b</b>) with single Al<sub>2</sub>O<sub>3</sub> anodic oxide film and (<b>c</b>,<b>d</b>) with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film.</p>
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<p>Area EDS of anodized specimens with single Al<sub>2</sub>O<sub>3</sub> aluminum anodic oxide film (<b>a</b>) and with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film (<b>b</b>).</p>
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<p>Schematic illustration of the formation of the Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite anodic oxide film.</p>
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<p>C<sub>60V</sub> and tan δ values of C<sub>60V</sub> and tan δ values of blank samples and ones with Al<sub>2</sub>O<sub>3</sub>-TiO<sub>2</sub> composite oxide film.</p>
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<p>EIS of anodized samples with single aluminum oxide film and Ti-Al<sub>2</sub>O<sub>3</sub> composite oxide film, respectively. (<b>a</b>) Nyquist plot; (<b>b</b>) Bode plot.</p>
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18 pages, 22999 KiB  
Article
0.98(K0.5Na0.5)NbO3–0.02(Bi0.5Na0.5)(Zr0.85Sn0.15)O3 Single Crystals Grown by the Seed-Free Solid-State Crystal Growth Method and Their Characterization
by Eugenie Uwiragiye, Thuy Linh Pham, Jong-Sook Lee, Byoung-Wan Lee, Jae-Hyeon Ko and John G. Fisher
Ceramics 2024, 7(3), 840-857; https://doi.org/10.3390/ceramics7030055 - 21 Jun 2024
Cited by 2 | Viewed by 1470
Abstract
(K0.5Na0.5)NbO3-based single crystals are of interest as high-performance lead-free piezoelectric materials, but conventional crystal growth methods have some disadvantages such as the requirement for expensive Pt crucibles and difficulty in controlling the composition of the crystals. Recently, [...] Read more.
(K0.5Na0.5)NbO3-based single crystals are of interest as high-performance lead-free piezoelectric materials, but conventional crystal growth methods have some disadvantages such as the requirement for expensive Pt crucibles and difficulty in controlling the composition of the crystals. Recently, (K0.5Na0.5)NbO3-based single crystals have been grown by the seed-free solid-state crystal growth method, which can avoid these problems. In the present work, 0.98(K0.5Na0.5)NbO3–0.02(Bi0.5Na0.5)(Zr0.85Sn0.15)O3 single crystals were grown by the seed-free solid-state crystal growth method. Sintering aids of 0.15 mol% Li2CO3 and 0.15 mol% Bi2O3 were added to promote single crystal growth. Pellets were sintered at 1150 °C for 15–50 h. Single crystals started to appear from 20 h. The single crystals grown for 50 h were studied in detail. Single crystal microstructure was studied by scanning electron microscopy of the as-grown surface and cross-section of the sample and revealed porosity in the crystals. Electron probe microanalysis indicated a slight reduction in K and Na content of a single crystal as compared to the nominal composition. X-ray diffraction shows that the single crystals contain mixed orthorhombic and tetragonal phases at room temperature. Raman scattering and impedance spectroscopy at different temperatures observed rhombohedral–orthorhombic, orthorhombic–tetragonal and tetragonal–cubic phase transitions. Polarization–electric field (P–E) hysteresis loops show that the single crystal is a normal ferroelectric material with a remanent polarization (Pr) of 18.5 μC/cm2 and a coercive electrical field (Ec) of 10.7 kV/cm. A single crystal presents d33 = 362 pC/N as measured by a d33 meter. Such a single crystal with a large d33 and high Curie temperature (~370 °C) can be a promising candidate for piezoelectric devices. Full article
(This article belongs to the Special Issue Advances in Ceramics, 2nd Edition)
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<p>XRD patterns of (<b>a</b>) 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> powder calcined at 1000 °C for 5 h (pattern taken before sintering aid addition); (<b>b</b>) 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> bulk single crystal grown at 1150 °C for 50 h.</p>
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<p>Photographs of 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> specimens after sintering at 1150 °C for 20–50 h, and a single crystal after removal from the matrix of a sample sintered at 1150 °C for 50 h.</p>
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<p>SEM micrographs of (<b>a</b>,<b>b</b>) polished and etched cross-section of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 20 h; (<b>c</b>) as-grown surface of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h; (<b>d</b>) polished and etched cross-section of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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<p>Raman spectrum of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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<p>(<b>a</b>) Contour plot of normalized intensity of Raman spectra of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h. Spectra are taken at temperatures between −196 °C and 600 °C; (<b>b</b>) individual spectra.</p>
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<p>Raman mode position versus temperature for a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h. Spectra are taken at temperatures between −196 °C and 600 °C.</p>
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<p>Relative permittivity, inverse relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between room temperature and 600 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Low-temperature relative permittivity, inverse relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between −223 °C and 200 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Relative permittivity, loss tangent and conductivity of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h, displayed as functions of temperature between −190 °C and 590 °C (<b>a</b>–<b>d</b>) on heating and (<b>e</b>–<b>h</b>) on cooling.</p>
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<p>Polarization vs. electric field hysteresis loops of a 0.98(K<sub>0.5</sub>Na<sub>0.5</sub>)NbO<sub>3</sub>–0.02(Bi<sub>0.5</sub>Na<sub>0.5</sub>)(Zr<sub>0.85</sub>Sn<sub>0.15</sub>)O<sub>3</sub> single crystal grown at 1150 °C for 50 h.</p>
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13 pages, 1959 KiB  
Article
Dual-Frequency Soil Moisture Meter Method for Simultaneous Estimation of Soil Moisture and Conductivity
by Jerzy S. Witkowski and Andrzej F. Grobelny
Sensors 2024, 24(10), 2969; https://doi.org/10.3390/s24102969 - 7 May 2024
Viewed by 3327
Abstract
The measurement of soil water content is a very important factor in plant cultivation, both from an economic and ecological point of view. Proper estimation of moisture content not only allows for proper yields but can also contribute to ecologically appropriate use of [...] Read more.
The measurement of soil water content is a very important factor in plant cultivation, both from an economic and ecological point of view. Proper estimation of moisture content not only allows for proper yields but can also contribute to ecologically appropriate use of fresh water, of which the world’s resources are limited. It is important, for example, that the moisture content in the root area of plants is optimal for their growth, while over-watering can result in losses in the form of water, which seeps below the root layer and is lost. The novel, inexpensive electronic meter for measuring soil moisture is presented in the article. The meter, based on a capacitive method, uses an optimization algorithm to calculate soil electrical permeability and a simplified new formula between soil electrical permeability and volumetric moisture content. Moreover, by using two high-frequency signals for measurements, it is possible not only to estimate moisture content but also soil conductivity. Both readings obtained from the meter not only allow for rational management of crop optimization for economic reasons but are also important for environmental protection. In addition, the inexpensive meter, based on the principle of operation presented, can be made as an IoT module, which allows for its wide application. Full article
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<p>Soil textural triangle. Source: United State Department of Agriculture.</p>
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<p>Illustrative retention curves for basic soil types (adapted from [<a href="#B4-sensors-24-02969" class="html-bibr">4</a>]).</p>
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<p>Typical curves of water capacity (FC) and permanent wilting point (PWP) vs. soil type (adapted from [<a href="#B6-sensors-24-02969" class="html-bibr">6</a>]).</p>
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<p>Basic illustration of capacitive measurement principle.</p>
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<p>Measuring electrodes (<b>a</b>) and their equivalent circuit (<b>b</b>). (Rs—resistance in series to the probe; Cs—the capacity of the electrodes to the medium; Cp—the self-capacity part of the capacitor due to its construction; Cx—capacity being measured; Rx—the loss of the dielectric being measured).</p>
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<p>Basic illustration of capacitive measurement principle. The types of major integrated circuits used in the sensor prototype are given.</p>
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<p>Calibration curves and their measurement points for 17 MHz (solid line and □) and for 166 MHz (solid line and O); measurement result point (<span class="html-italic">ε<sub>w</sub></span> = 32, <span class="html-italic">σ</span> = 0.49 dS/m) against transmittance curves (dashed lines and “rhombus”) for <span class="html-italic">f</span><sub>1</sub> = 17 MHz (top line) and <span class="html-italic">f</span><sub>2</sub> = 166 MHz (bottom line).</p>
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<p>Prototype of the sensor and its housing.</p>
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<p>Volumetric moisture as a function of dielectric permittivity. Dashed lines are obtained from Formula (15) for <span class="html-italic">(A</span>; <span class="html-italic">ε<sub>w</sub></span>) = (0.075; 2) and (0.05; 3), respectively. Continuous lines are plotted based on the experimental data from [<a href="#B16-sensors-24-02969" class="html-bibr">16</a>,<a href="#B24-sensors-24-02969" class="html-bibr">24</a>].</p>
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<p>Overall uncertainty of irrigation control.</p>
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14 pages, 2790 KiB  
Article
A Highly Homogeneous Airborne Fungal Community around a Copper Open Pit Mine Reveals the Poor Contribution Made by the Local Aerosolization of Particles
by Sebastián Fuentes-Alburquenque, Victoria Olivencia Suez, Omayra Aguilera, Blanca Águila, Luis Rojas Araya and Dinka Mandakovic
Microorganisms 2024, 12(5), 934; https://doi.org/10.3390/microorganisms12050934 - 4 May 2024
Viewed by 1028
Abstract
Fungi are ubiquitous and metabolically versatile. Their dispersion has important scientific, environmental, health, and economic implications. They can be dispersed through the air by the aerosolization of near surfaces or transported from distant sources. Here, we tested the contribution of local (scale of [...] Read more.
Fungi are ubiquitous and metabolically versatile. Their dispersion has important scientific, environmental, health, and economic implications. They can be dispersed through the air by the aerosolization of near surfaces or transported from distant sources. Here, we tested the contribution of local (scale of meters) versus regional (kilometers) sources by analyzing an airborne fungal community by ITS sequencing around a copper mine in the North of Chile. The mine was the regional source, whereas the soil and vegetal detritus were the local sources at each point. The airborne community was highly homogeneous at ca. 2000 km2, impeding the detection of regional or local contributions. Ascomycota was the dominant phylum in the three communities. Soil and vegetal detritus communities had lower alpha diversity, but some taxa had abundance patterns related to the distance from the mine and altitude. On the contrary, the air was compositionally even and unrelated to environmental or spatial factors, except for altitude. The presence of plant pathogens in the air suggests that other distant sources contribute to this region’s airborne fungal community and reinforces the complexity of tracking the sources of air microbial communities in a real world where several natural and human activities coexist. Full article
(This article belongs to the Special Issue Airborne Microbial Communities)
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Graphical abstract

Graphical abstract
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<p>Sampling area at the Coquimbo Region, North Chile (<b>a</b>). The town of Andacollo and its mine (30.2614 °S 71.0816 °O) are located at the central point depicted in blue (<b>b</b>). Starting from this central point, several points were sampled to encompass an approximately 25 km radius. The upper panel shows the sampling strategy used in this study (<b>c</b>). Three sample types were collected at each point: air (red), topsoil (brown), and vegetal detritus (green). Environmental variables and geographical coordinates were recorded at each point.</p>
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<p>Alpha diversity of the three communities: air (red), soil (brown), and vegetal detritus (green). (<b>a</b>) Richness was calculated as the number of ASVs in each community; the median is depicted in the center of each box, and the outliers are shown as gray circles. Asterisks show significant differences (<span class="html-italic">p</span> &lt; 0.001) through the Kruskal–Wallis pairwise test. (<b>b</b>) Rank-abundant distribution of ASVs in each community.</p>
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<p>Beta diversity (Jaccard distance) analysis of the three communities: air (red), soil (brown), and vegetal detritus (green). (<b>a</b>) Principal coordinates plots, where the three communities are significantly grouped in different clusters. (<b>b</b>) Similarity decay plot shows that airborne communities had no relationship with respect to geographical distance. (<b>c</b>–<b>e</b>) Procrustes analysis of the air–soil, air–vegetal, and soil–vegetal communities.</p>
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<p>Taxonomic composition (genus level) of the air, soil, and vegetal detritus communities. Samples were grouped by altitude (upper panel) and distance to the mine (lower panel). The legend shows only the 12 most abundant taxa.</p>
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19 pages, 9418 KiB  
Article
Impact Analysis of High-Altitude Electromagnetic Pulse Coupling Effects on Power Grid Protection Relays
by Naga Lakshmi Thotakura, Yuru Wu, David Mignardot, Liang Zhang, Wei Qiu, Lawrence C. Markel, Dahan Liao, Benjamin W. McConnell and Yilu Liu
Electronics 2024, 13(7), 1336; https://doi.org/10.3390/electronics13071336 - 2 Apr 2024
Viewed by 1580
Abstract
Protection relays are important equipment used for protection, control, and metering functions in the power grid. These relays are used to protect critical and difficult-to-replace equipment, like generators, transformers, and capacitor banks. Once the protection devices are disturbed or damaged, a high risk [...] Read more.
Protection relays are important equipment used for protection, control, and metering functions in the power grid. These relays are used to protect critical and difficult-to-replace equipment, like generators, transformers, and capacitor banks. Once the protection devices are disturbed or damaged, a high risk of power generation interruption occurs. Therefore, it is important and necessary to study the relay’s immunity to electromagnetic pulse (EMP) events. As a preliminary step toward empirical experimentation on actual equipment, this manuscript outlines an economical and efficient methodology for evaluating the impact of an EMP. An impedance measurement strategy was employed to model the equipment, setting the stage for subsequent immunity analyses. These analyses included the pulse current injection (PCI) method, which utilized an injecting probe to introduce the transient, and frequency domain electromagnetic (FEKO) simulation, which integrated electromagnetic coupling effects into the transient simulation. The impedance measurement and simulation results in this paper provide a reliable basis for gauging equipment performance in the face of HEMP threats. The results obtained using the PCI and FEKO simulations demonstrated the performance of different port responses under a high-altitude EMP, indicating the requirement for some protection to ensure the reliable operation of relays. Full article
(This article belongs to the Section Circuit and Signal Processing)
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<p>EMP time domain representation [<a href="#B8-electronics-13-01336" class="html-bibr">8</a>].</p>
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<p>Framework of impedance measuring.</p>
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<p>Non-uniform wire propagation model for de-embedding based on the fixture.</p>
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<p>Examples of the impedances and phase angles across the frequency range. (<b>a</b>,<b>b</b>) depict measurement results after de-embedding, while (<b>c</b>,<b>d</b>) present integrated measurement results after data processing.</p>
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<p>Examples of the impedances and phase angles across the frequency range. (<b>a</b>,<b>b</b>) depict measurement results after de-embedding, while (<b>c</b>,<b>d</b>) present integrated measurement results after data processing.</p>
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<p>The circuit diagram of PCI test: (<b>a</b>) EC5 level and (<b>b</b>) EC8 level.</p>
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<p>The open-circuit voltage and short-circuit current of PCI generator: (<b>a</b>) EC5 level and (<b>b</b>) EC8 level.</p>
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<p>Transmission line model and plane wave excitation source.</p>
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<p>Impedance and phase angle measurements for ports under powered-off and powered-on conditions: (<b>a</b>) power port and (<b>b</b>) transformer port.</p>
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<p>Impedance and phase angle measurements for VT and CT: (<b>a</b>) VT phase A to ground, (<b>b</b>) VT phase B to phase C, and (<b>c</b>) CT phase A to ground.</p>
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<p>PCI method EC5 immunity test results.</p>
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<p>EC8 immunity test results.</p>
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<p>Relay voltage and current transients resulting from HEMP E1 event.</p>
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<p>Comparative analysis for ports under powered-off and powered-on conditions: (<b>a</b>) PCI EC5 test, (<b>b</b>) PCI EC8 test, and (<b>c</b>) FEKO simulation.</p>
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11 pages, 7299 KiB  
Proceeding Paper
Active Fault Detection Device for LV Electrical Installations with Goertzel-Based Impedance Estimation and IoT Connectivity
by Christos Pechlivanis, Nick Rigogiannis, Andreas Tichalas, Syllas Frantzeskakis, Christos Christodoulou and Nick Papanikolaou
Eng. Proc. 2024, 60(1), 22; https://doi.org/10.3390/engproc2024060022 - 16 Jan 2024
Cited by 1 | Viewed by 987
Abstract
An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor [...] Read more.
An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor loss at the upstream network and unintentional islanding. A 12th order zero-sequence voltage harmonic component is injected -via a low-power H-bridge inverter along with a current transformer (CT), in series with the grid voltage, whereas the corresponding harmonic current is measured, to estimate the impedance. The well-established, robust and fast Goertzel algorithm is selected as the impedance monitoring method, to effectively diagnose any fault. Finally, the device features Internet of Things connectivity capabilities, as it employs the ESP32 microcontroller, facilitating its communication and data exchange capabilities with the installation meter, as well as with various smart home devices. Full article
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<p>Block diagram presenting the integration of the active fault detection device.</p>
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<p>Schematic diagram of the active fault detection device.</p>
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<p>Fault detection threshold values for each undesirable condition.</p>
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<p>Flowchart of the active fault detection device control scheme.</p>
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<p>The developed active fault detection device.</p>
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<p>Experimental waveforms of the H-bridge inverter output current and line current, during a neutral loss event.</p>
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<p>The output of the Goertzel algorithm for the 50 Hz current component, displayed in the serial plotter of the Arduino IDE environment.</p>
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<p>Experimental waveforms for the device intermittent operation (deep sleep mode), during the neutral conductor loss fault.</p>
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<p>Line current component at 50 Hz (Table I) and estimated 600 Hz grid impedance (Table II) waveforms, as they are presented on the ThingSpeak web platform.</p>
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19 pages, 10163 KiB  
Article
Acoustic Characterization of Transmitted and Received Acoustic Properties of Air-Coupled Ultrasonic Transducers Based on Matching Layer of Organosilicon Hollow Glass Microsphere
by Xinhu Xu, Liang Zhang, Hulin Guo, Xiaojie Wang and Lingcai Kong
Micromachines 2023, 14(11), 2021; https://doi.org/10.3390/mi14112021 - 30 Oct 2023
Cited by 6 | Viewed by 1713
Abstract
An air-coupled transducer was developed in this study, utilizing hollow glass microsphere-organosilicon composites as an acoustically matching layer, which demonstrated outstanding acoustic performance. Firstly, a comparison and analysis of the properties and advantages of different substrates was carried out to determine the potential [...] Read more.
An air-coupled transducer was developed in this study, utilizing hollow glass microsphere-organosilicon composites as an acoustically matching layer, which demonstrated outstanding acoustic performance. Firstly, a comparison and analysis of the properties and advantages of different substrates was carried out to determine the potential application value of organosilicon substrates. Immediately after, the effect of hollow glass microspheres with different particle sizes and mass fractions on the acoustic properties of the matching layer was analyzed. It also evaluated the mechanical properties of the matching layer before and after optimization. The findings indicate that the optimized composite material attained a characteristic acoustic impedance of 1.04 MRayl and an acoustic attenuation of 0.43 dB/mm, displaying exceptional acoustic performance. After encapsulating the ultrasonic transducer using a 3D-printed shell, we analyzed and compared its emission and reception characteristics to the commercial transducer and found that its emission acoustic pressure amplitude and reception voltage amplitude were 34% and 26% higher, respectively. Finally, the transducer was installed onto a homemade ultrasonic flow meter for practical application verification, resulting in an accuracy rate of 97.4%. Full article
(This article belongs to the Special Issue Acoustic Transducers and Their Applications)
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<p>Transmission of ultrasonic transducer.</p>
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<p>Ultrasonic transducer assembly.</p>
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<p>Device for measuring emission performance. (<b>a</b>) Experimental equipment table object; (<b>b</b>) Schematic diagram of the experimental equipment table.</p>
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<p>Device for measuring receiving performance. (<b>a</b>) Experimental equipment table object; (<b>b</b>) Schematic diagram of the experimental equipment table.</p>
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<p>Differential Time Ultrasonic Flow Meter Schematic.</p>
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<p>Ultrasonic transducer test system for practical applications.</p>
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<p>Curing effects of the three substrates.</p>
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<p>Matching layer samples of different mass fractions in kind.</p>
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<p>Matching layer acoustic test results: (<b>a</b>) Density of different samples; (<b>b</b>) Solid sound velocity of different samples; (<b>c</b>) Characteristic acoustic impedance of different samples; (<b>d</b>) Attenuation coefficients of different samples.</p>
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<p>SEM image of samples: (<b>a</b>) 100 μm scale and (<b>b</b>) 500 μm scale.</p>
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<p>Transducer object. (<b>a</b>) Exterior of the transducer; (<b>b</b>) Interior of the transducer before encapsulation; (<b>c</b>) Object after Encapsulation.</p>
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<p>Changes in mechanical behavior before and after optimization. (<b>a</b>) Homemade transducer impedance test; (<b>b</b>) Mechanical quality factor test of Homemade Transducers.</p>
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<p>Test results for different excitation voltages. (<b>a</b>) Emission sound pressure results; (<b>b</b>) Electric-acoustic conversion efficiency results.</p>
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<p>Test results for different excitation voltages. (<b>a</b>) Emission sound pressure results; (<b>b</b>) Electric-acoustic conversion efficiency results.</p>
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<p>Emission sound pressure for different cycles of burst.</p>
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<p>Emission sound pressure plots of K1-20 with different cycle count of burst: (<b>a</b>) cycle count of burst is 3; (<b>b</b>) cycle count of burst is 5; (<b>c</b>) cycle count of burst is 10; (<b>d</b>) cycle count of burst is 15.</p>
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<p>Maximum transmission distance results.</p>
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<p>Comparison test results of emission sound pressure.</p>
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<p>Receiving performance test results at different distances.</p>
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<p>Received waveforms at different distances for model K1-20: (<b>a</b>) 5 cm; (<b>b</b>) 10 cm; (<b>c</b>) 15 cm; (<b>d</b>) 20 cm.</p>
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<p>Waveforms of the receiver transducer of a homemade ultrasonic flowmeter.</p>
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<p>Gas Flow Measurement Results.</p>
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