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Appl. Sci., Volume 7, Issue 2 (February 2017) – 101 articles

Cover Story (view full-size image): Membrane distillation (MD) recently shifted from seawater desalination to industrial applications out of the scope of reverse osmosis. In many of these applications, surfactants or oil traces are present in the feed stream, increasing the risk for membrane wetting. Synthetic NaCl solutions mixed with sodium dodecyl sulfate (SDS) and hexadecane/SDS emulsions represent these challenging waste streams. The wetting propensity can be predicted using surface tension, contact angle and liquid entry pressure measurements. Lab scale MD experiments confirmed the validity of the predicted wetting risk and the improved performance of oleophobic membranes compared to standard PTFE membranes. View the paper
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4013 KiB  
Article
Modeling, Simulation, and Performance Analysis of Decoy State Enabled Quantum Key Distribution Systems
by Logan O. Mailloux, Michael R. Grimaila, Douglas D. Hodson, Ryan Engle, Colin McLaughlin and Gerald Baumgartner
Appl. Sci. 2017, 7(2), 212; https://doi.org/10.3390/app7020212 - 22 Feb 2017
Cited by 6 | Viewed by 8055
Abstract
Quantum Key Distribution (QKD) systems exploit the laws of quantum mechanics to generate secure keying material for cryptographic purposes. To date, several commercially viable decoy state enabled QKD systems have been successfully demonstrated and show promise for high-security applications such as banking, government, [...] Read more.
Quantum Key Distribution (QKD) systems exploit the laws of quantum mechanics to generate secure keying material for cryptographic purposes. To date, several commercially viable decoy state enabled QKD systems have been successfully demonstrated and show promise for high-security applications such as banking, government, and military environments. In this work, a detailed performance analysis of decoy state enabled QKD systems is conducted through model and simulation of several common decoy state configurations. The results of this study uniquely demonstrate that the decoy state protocol can ensure Photon Number Splitting (PNS) attacks are detected with high confidence, while maximizing the system’s quantum throughput at no additional cost. Additionally, implementation security guidance is provided for QKD system developers and users. Full article
(This article belongs to the Special Issue Modeling, Simulation, Operation and Control of Discrete Event Systems)
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<p>This is a Quantum Key Distribution (QKD) system context diagram. The sender “Alice” and receiver “Bob” generate shared secret key <math display="inline"> <semantics> <mi>K</mi> </semantics> </math> for use in data encryption/decryption. Reproduced with permission from [<a href="#B9-applsci-07-00212" class="html-bibr">9</a>], Copyright IEEE, 2016.</p>
Full article ">Figure 2
<p>The eavesdropper (Eve and Eve′) is shown conducting a Photon Number Splitting (PNS) attack against the QKD system (Alice and Bob). Adapted with permission from [<a href="#B9-applsci-07-00212" class="html-bibr">9</a>], Copyright IEEE, 2016.</p>
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<p>Variation in weak coherent pulse Mean Photon Number (MPN) emitted from Alice’s modeled laser due to expected fluctuations and performance limitations in the modeled decoy state generator (i.e., the variable optical attenuator). The upper and lower Prediction Intervals (PI) are shown to bound the expected performance.</p>
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<p>Simulation results are shown for the for the 50 km decoy state protocol configurations examined when operating under normal conditions. In each configuration studied, the signal and decoy state efficiencies are the same <math display="inline"> <semantics> <mrow> <msup> <mi>η</mi> <mrow> <mi>s</mi> <mi>i</mi> <mi>g</mi> <mi>n</mi> <mi>a</mi> <mi>l</mi> </mrow> </msup> <mo>=</mo> <msup> <mi>η</mi> <mrow> <mi>d</mi> <mi>e</mi> <mi>c</mi> <mi>o</mi> <mi>y</mi> </mrow> </msup> <mo>±</mo> <mo>Δ</mo> </mrow> </semantics> </math> (within expected variation tolerances).</p>
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<p>Simulation results are shown for the 50 km decoy state protocol configurations examined when subject to PNS attacks. In each configuration studied, the signal and decoy state efficiencies are statistically different <math display="inline"> <semantics> <mrow> <msup> <mi>η</mi> <mrow> <mi>s</mi> <mi>i</mi> <mi>g</mi> <mi>n</mi> <mi>a</mi> <mi>l</mi> </mrow> </msup> <mo>≠</mo> <msup> <mi>η</mi> <mrow> <mi>d</mi> <mi>e</mi> <mi>c</mi> <mi>o</mi> <mi>y</mi> </mrow> </msup> <mo>±</mo> <mo>Δ</mo> </mrow> </semantics> </math> (outside expected variation tolerances).</p>
Full article ">Figure 6
<p>Simulation results show the optimized decoy state protocol for detecting PNS attacks based on the fielded QKD system [<a href="#B55-applsci-07-00212" class="html-bibr">55</a>]. The inlay details the expected dark count rate complete with outliers to illustrate the modeled noise over the QKD communication channel.</p>
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<p>Simulation results detailing the number of decoy state detections per round of quantum exchange for the optimized decoy state protocol based on the fielded QKD system parameters shown in <a href="#applsci-07-00212-t006" class="html-table">Table 6</a>.</p>
Full article ">
329 KiB  
Erratum
Erratum: A CMOS Multiplied Input Differential Difference Amplifier: A New Active Device and Its Applications. Applied Sciences 2017, 7, 106
by Applied Sciences Editorial Office
Appl. Sci. 2017, 7(2), 211; https://doi.org/10.3390/app7020211 - 22 Feb 2017
Viewed by 2990
Abstract
We wish to make the following correction to the published paper [...] Full article
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<p>Simple application of a proposed MIDDA in a first-order high-pass filter with adjustable pole frequency.</p>
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4107 KiB  
Article
Seismic Failure Mechanism of Reinforced Cold-Formed Steel Shear Wall System Based on Structural Vulnerability Analysis
by Jihong Ye, Liqiang Jiang and Xingxing Wang
Appl. Sci. 2017, 7(2), 182; https://doi.org/10.3390/app7020182 - 22 Feb 2017
Cited by 14 | Viewed by 9066
Abstract
A series of structural vulnerability analyses are conducted on a reinforced cold-formed steel (RCFS) shear wall system and a traditional cold-formed steel (CFS) shear wall system subjected to earthquake hazard based on forms in order to investigate their failure mechanisms. The RCFS shear [...] Read more.
A series of structural vulnerability analyses are conducted on a reinforced cold-formed steel (RCFS) shear wall system and a traditional cold-formed steel (CFS) shear wall system subjected to earthquake hazard based on forms in order to investigate their failure mechanisms. The RCFS shear wall adopts rigid beam-column joints and continuous concrete-filled CFS tube end studs rather than coupled-C section end studs that are used in traditional CFS shear walls, to achieve the rigid connections in both beam-column joints and column bases. The results show that: the RCFS and traditional CFS shear wall systems both exhibit the maximum vulnerability index associated with the failure mode in the first story. Therefore, the first story is likely to be a weakness of the CFS shear wall system. Once the wall is damaged, the traditional CFS shear wall system would collapse because the shear wall is the only lateral-resisting component. However, the collapse resistance of the RCFS shear wall system is effectively enhanced by the second defense, which is provided by a framework integrated by rigid beam-column joints and fixed column bases. The predicted collapse mode with maximum vulnerability index that was obtained by structural vulnerability analysis agrees well with the experimental result, and the structural vulnerability method is thereby verified to be reasonable to identify the weaknesses of framed structures and predict their collapse modes. Additionally, the quantitative vulnerability index indicates that the RCFS shear wall system exhibits better robustness compared to the traditional one. Furthermore, the “strong frame weak wallboard” and the “strong column weak beam” are proposed in this study as conceptional designations for the RCFS shear wall systems. Full article
(This article belongs to the Special Issue Applications of Thin-Walled Structures)
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<p>Beam-column joint diagram of the shear wall systems. (<b>a</b>) Traditional type; (<b>b</b>) reinforced type. CFS, cold-formed steel. CFRST, concrete-filled CFS tube. Reproduced with permission from [<a href="#B17-applsci-07-00182" class="html-bibr">17</a>], Elsevier, 2016.</p>
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<p>Deformation diagram of CFS shear wall systems under earthquakes (a two-story shear wall system is chosen as an example). (<b>a</b>) Traditional type. Reproduced with permission from [<a href="#B6-applsci-07-00182" class="html-bibr">6</a>], American Society of Civil Engineers, 2013; (<b>b</b>) reinforced type.</p>
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<p>Cyclic loading tests of CFS shear wall systems.</p>
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<p>Section details of the specimens. (<b>a</b>) Traditional shear wall system <span class="html-italic">W</span><sub>1</sub>; (<b>b</b>) reinforced cold-formed steel (RCFS) shear wall system <span class="html-italic">W</span><sub>2</sub>; (<b>c</b>) RCFS shear wall system <span class="html-italic">W</span><sub>2-1</sub>.</p>
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<p>Cross-section details of the specimens’ end studs. (<b>a</b>) Traditional shear wall system <span class="html-italic">W</span><sub>1</sub>; (<b>b</b>) RCFS shear wall system <span class="html-italic">W</span><sub>2</sub> (<span class="html-italic">W</span><sub>2-1</sub>).</p>
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<p>Simplified models of the specimens. (<b>a</b>) Traditional shear wall system <span class="html-italic">W</span><sub>1</sub>; (<b>b</b>) RCFS shear wall system <span class="html-italic">W</span><sub>2</sub> (<span class="html-italic">W</span><sub>2-1</sub>).</p>
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<p>Hierarchical model and unzipping process of the traditional shear wall system <span class="html-italic">W</span><sub>1</sub>.</p>
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<p>Primary collapse modes of specimen <span class="html-italic">W</span><sub>1</sub>. (<b>a</b>) FM1; (<b>b</b>) FM2; (<b>c</b>) FM3; (<b>d</b>) FM4.</p>
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<p>Experimental behavior of specimen <span class="html-italic">W</span><sub>1</sub>. (<b>a</b>) View on left side; (<b>b</b>) View on right side.</p>
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<p>Hierarchical model and unzipping process of the RCFS shear wall system <span class="html-italic">W</span><sub>2</sub>.</p>
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<p>Primary collapse modes of specimen <span class="html-italic">W</span><sub>2</sub>. (<b>a</b>) FM1; (<b>b</b>) FM2; (<b>c</b>) FM3; (<b>d</b>) FM4; (<b>e</b>) FM5; (<b>f</b>) FM6; (<b>g</b>) FM7.</p>
Full article ">Figure 11 Cont.
<p>Primary collapse modes of specimen <span class="html-italic">W</span><sub>2</sub>. (<b>a</b>) FM1; (<b>b</b>) FM2; (<b>c</b>) FM3; (<b>d</b>) FM4; (<b>e</b>) FM5; (<b>f</b>) FM6; (<b>g</b>) FM7.</p>
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<p>Experimental behavior of specimen <span class="html-italic">W</span><sub>2</sub>.</p>
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<p>Buckling phenomenon of specimen <span class="html-italic">W</span><sub>2</sub> (<b>a</b>) at joint <span class="html-italic">R</span><sub>1</sub>; (<b>b</b>) at joint <span class="html-italic">R</span><sub>2</sub>; (<b>c</b>) at joint <span class="html-italic">J</span><sub>1</sub>; (<b>d</b>) at joint <span class="html-italic">J</span><sub>2</sub>; (<b>e</b>) at joint <span class="html-italic">J</span><sub>1</sub> (after sheathing demolition); (<b>f</b>) at joint <span class="html-italic">J</span><sub>2</sub> (after sheathing demolition).</p>
Full article ">Figure 14
<p>Buckling phenomena of specimen <span class="html-italic">W</span><sub>2-1</sub>: (<b>a</b>) at the right end stud; (<b>b</b>) at the left end stud; (<b>c</b>) at joint <span class="html-italic">R</span><sub>2</sub>; (<b>d</b>) at joint <span class="html-italic">R</span><sub>1</sub>.</p>
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7271 KiB  
Article
Overload Control in Smart Transformer-Fed Grid
by Giovanni De Carne, Zhixiang Zou, Giampaolo Buticchi, Marco Liserre and Costas Vournas
Appl. Sci. 2017, 7(2), 208; https://doi.org/10.3390/app7020208 - 20 Feb 2017
Cited by 13 | Viewed by 6552
Abstract
Renewable energy resources and new loads—such as electric vehicles—challenge grid management. Among several scenarios, the smart transformer represents a solution for simultaneously managing low- and medium-voltage grids, providing ancillary services to the distribution grid. However, unlike conventional transformers, the smart transformer has a [...] Read more.
Renewable energy resources and new loads—such as electric vehicles—challenge grid management. Among several scenarios, the smart transformer represents a solution for simultaneously managing low- and medium-voltage grids, providing ancillary services to the distribution grid. However, unlike conventional transformers, the smart transformer has a very limited overload capability, because the junction temperature—which must always be below its maximum limit—is characterized by a short time constant. In this work, an overload control for smart transformer by means of voltage and frequency variations has been proposed and verified by means of simulations and experiments. Full article
(This article belongs to the Special Issue Advancing Grid-Connected Renewable Generation Systems)
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<p>Smart transformer (ST) concept. LV: low voltage; MV: medium voltage; PV: photovoltaic; <math display="inline"> <semantics> <mi mathvariant="sans-serif">μ</mi> </semantics> </math>T: micro-turbine; <math display="inline"> <semantics> <mi mathvariant="sans-serif">μ</mi> </semantics> </math>W: micro-wind turbine.</p>
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<p>Smart transformer control scheme and proposed controller to avoid overload condition (red square). RMS: root mean square.</p>
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<p>ST overload controller and DG (Distributed Generation) droop controller.</p>
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<p>Grid simulated in PSCAD/EMTDC<sup>TM</sup>.</p>
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<p>BESS <span class="html-italic">A</span> active power (blue line), BESS <span class="html-italic">B</span> active power (red line), sum of load active power (dotted black line), sum of load reactive power (dotted green line).</p>
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<p>Overload controller simulations: (<b>a</b>) ST current without controller (black line), ST current with the proposed overload controller (blue line), frequency controller threshold (dashed green line), voltage controller threshold (dotted magenta line), current maximum limit (red line); (<b>b</b>) grid frequency (dashed green line), ST bus voltage (dotted magenta line).</p>
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<p>(<b>a</b>) Active power without controller BESS <span class="html-italic">A</span> (dotted green line), with overload controller (red line), active power without controller BESS <span class="html-italic">B</span> (dotted black line), with overload controller (blue line); (<b>b</b>) ST: Active power without controller (dotted black line), with overload controller (blue line), reactive power without controller (dotted green line), with overload controller (red line).</p>
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<p>Lab experimental setup scheme and picture.</p>
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<p>Experimental results: ST rms voltage <math display="inline"> <semantics> <msub> <mi>v</mi> <mrow> <mi>L</mi> <mi>V</mi> </mrow> </msub> </semantics> </math> (magenta line), grid frequency <math display="inline"> <semantics> <msub> <mi>f</mi> <mrow> <mi>L</mi> <mi>V</mi> </mrow> </msub> </semantics> </math>(yellow line), and ST rms current <math display="inline"> <semantics> <msub> <mi>i</mi> <mrow> <mi>L</mi> <mi>V</mi> </mrow> </msub> </semantics> </math> (blue line).</p>
Full article ">Figure 10
<p>Steady-state before the overload (<a href="#applsci-07-00208-f009" class="html-fig">Figure 9</a>, orange box): ST voltage (yellow line, 100 V/div), ST current (magenta line, 5 A/div), DG current (blue line, 2 A/div), load current (green line, 5 A/div).</p>
Full article ">Figure 11
<p>Steady-state during the overload controller operations (<a href="#applsci-07-00208-f009" class="html-fig">Figure 9</a>, green box): ST voltage (yellow line, 100 V/div), ST current (magenta line, 5 A/div), DG current (blue line, 2 A/div), load current (green line, 5 A/div).</p>
Full article ">
5861 KiB  
Article
Application of the DC Offset Cancellation Method and S Transform to Gearbox Fault Diagnosis
by Xinghui Zhang, Jianmin Zhao, Rusmir Bajrić and Liangliang Wang
Appl. Sci. 2017, 7(2), 207; https://doi.org/10.3390/app7020207 - 20 Feb 2017
Cited by 12 | Viewed by 5913
Abstract
In this paper, the direct current (DC) offset cancellation and S transform-based diagnosis method is verified using three case studies. For DC offset cancellation, correlated kurtosis (CK) is used instead of the cross-correlation coefficient in order to determine the optimal iteration number. Compared [...] Read more.
In this paper, the direct current (DC) offset cancellation and S transform-based diagnosis method is verified using three case studies. For DC offset cancellation, correlated kurtosis (CK) is used instead of the cross-correlation coefficient in order to determine the optimal iteration number. Compared to the cross-correlation coefficient, CK enhances the DC offset cancellation ability enormously because of its excellent periodic impulse signal detection ability. Here, it has been proven experimentally that it can effectively diagnose the implanted bearing fault. However, the proposed method is less effective in the case of simultaneously present bearing and gear faults, especially for extremely weak bearing faults. In this circumstance, the iteration number of DC offset cancellation is determined directly by the high-speed shaft gear mesh frequency order. For the planetary gearbox, the application of the proposed method differs from the fixed-axis gearbox, because of its complex structure. For those small fault frequency parts, such as planet gear and ring gear, the DC offset cancellation’s ability is less effective than for the fixed-axis gearbox. In these studies, the S transform is used to display the time-frequency characteristics of the DC offset cancellation processed results; the performances are evaluated, and the discussions are given. The fault information can be more easily observed in the time-frequency contour than the frequency domain. Full article
(This article belongs to the Special Issue Deep Learning Based Machine Fault Diagnosis and Prognosis)
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<p>Framework for the deterministic component cancellation method.</p>
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<p>(<b>a</b>) Cross-correlation coefficient variation vs. iteration number; (<b>b</b>) correlated kurtosis (CK) value vs. iteration number.</p>
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<p>(<b>a</b>) Squared envelope signal after the fifth DC offset cancellation; (<b>b</b>) squared envelope spectrum after the fifth DC offset cancellation.</p>
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<p>(<b>a</b>) Squared envelope signal after the 100th DC offset cancellation; (<b>b</b>) squared envelope spectrum after the 100th DC offset cancellation.</p>
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<p>(<b>a</b>) Time-frequency contour of the envelope signal of the original bearing fault signal; (<b>b</b>) local amplification of (<b>a</b>) between 0 and 1000 Hz. BPFO, ball pass frequency outer race.</p>
Full article ">Figure 6
<p>(<b>a</b>) Time-frequency contour of the square envelope signal after the fifth DC offset cancellation; (<b>b</b>) local amplification of (<b>a</b>) between 0 and 1000 Hz.</p>
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<p>A schematic of the experimental gearbox test rig.</p>
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<p>High speed (HS) shaft bearing outer race faults: (<b>a</b>) left bearing; (<b>b</b>) right bearing.</p>
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<p>HS right bearing faults: (<b>a</b>) inner race fault; (<b>b</b>) ball fault.</p>
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<p>Low speed (LS) left bearing faults: (<b>a</b>) inner race fault; (<b>b</b>) ball fault.</p>
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<p>(<b>a</b>) HS shaft gear tooth wear; (<b>b</b>) intermediate speed (IS) shaft gears, tooth chip and wear.</p>
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<p>(<b>a</b>) Correlation coefficient vs. iteration number; (<b>b</b>) CK value vs. iteration number; (<b>c</b>) Squared envelope signal after the 100th DC offset cancellation.</p>
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<p>Frequency spectrum of the time synchronous signal; GMF, gear meshing frequency.</p>
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<p>(<b>a</b>) Squared envelope spectrum after the fifth DC offset cancellation; (<b>b</b>) time-frequency contour of the squared envelope signal after the fifth DC offset cancellation.</p>
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<p>(<b>a</b>) Envelope spectrum of the original signal; (<b>b</b>) time-frequency contour of the original signal.</p>
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<p>Frequency spectrum of the time synchronous signal.</p>
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<p>(<b>a</b>) Squared envelope spectrum after the sixth DC offset cancellation; (<b>b</b>) time-frequency contour of the squared envelope signal after the sixth DC offset cancellation.</p>
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<p>(<b>a</b>) Envelope spectrum of the time synchronous signal; (<b>b</b>) time-frequency contour of the envelope signal of the original signal.</p>
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<p>A schematic of the experimental planetary gearbox test rig.</p>
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<p>Implanted wear fault: (<b>a</b>) ring gear; (<b>b</b>) planet gear; (<b>c</b>) sun gear.</p>
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<p>CK value variation vs. iteration number.</p>
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<p>(<b>a</b>) Squared envelope spectrum after the first DC offset cancellation; (<b>b</b>) envelope spectrum of the original time synchronous signal.</p>
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<p>(<b>a</b>) Time-frequency contour of the squared envelope signal using the S transform; (<b>b</b>) local amplification of (<b>a</b>).</p>
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<p>(<b>a</b>) Time-frequency contour of the original envelope signal using the S transform; (<b>b</b>) local amplification of (<b>a</b>).</p>
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<p>CK value variation vs. iteration number.</p>
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<p>(<b>a</b>) Squared envelope spectrum after the first DC offset cancellation; (<b>b</b>) envelope spectrum of the original signal.</p>
Full article ">Figure 27
<p>(<b>a</b>) Squared envelope spectrum after the first DC offset cancellation; (<b>b</b>) the envelope spectrum of the original signal.</p>
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2168 KiB  
Article
LED Current Balance Using a Variable Voltage Regulator with Low Dropout vDS Control
by Hung-I Hsieh and Hao Wang
Appl. Sci. 2017, 7(2), 206; https://doi.org/10.3390/app7020206 - 20 Feb 2017
Cited by 5 | Viewed by 6652
Abstract
A cost-effective light-emitting diode (LED) current balance strategy using a variable voltage regulator (VVR) with low dropout vDS control is proposed. This can regulate the multiple metal-oxide-semiconductor field-effect transistors (MOSFETs) of the linear current regulators (LCR), maintaining low dropout vDS on the flat [...] Read more.
A cost-effective light-emitting diode (LED) current balance strategy using a variable voltage regulator (VVR) with low dropout vDS control is proposed. This can regulate the multiple metal-oxide-semiconductor field-effect transistors (MOSFETs) of the linear current regulators (LCR), maintaining low dropout vDS on the flat vGS-characteristic curves and making all drain currents almost the same. Simple group LCRs respectively loaded with a string LED are employed to implement the theme. The voltage VVdc from a VVR is synthesized by a string LED voltage NvD, source voltage vR, and a specified low dropout vDS = VQ. The VVdc updates instantly, through the control loop of the master LCR, which means that all slave MOSFETs have almost the same biases on their flat vGS-characteristic curves. This leads to all of the string LED currents being equal to each other, producing an almost even luminance. An experimental setup with microchip control is built to verify the estimations. Experimental results show that the luminance of all of the string LEDs are almost equal to one another, with a maximum deviation below 1% during a wide dimming range, while keeping all vDS of the MOSFETs at a low dropout voltage, as expected. Full article
(This article belongs to the Special Issue Energy Saving)
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<p>Commonly-used LED drives: (<b>a</b>) Voltage control or individual current control by constant voltage source supply; (<b>b</b>) Shunt current control with current source supply; (<b>c</b>) Digital PWM duty control using shunt current balance.</p>
Full article ">Figure 1 Cont.
<p>Commonly-used LED drives: (<b>a</b>) Voltage control or individual current control by constant voltage source supply; (<b>b</b>) Shunt current control with current source supply; (<b>c</b>) Digital PWM duty control using shunt current balance.</p>
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<p>(<b>a</b>) Typical linear current regulator (LCR) loaded with a string LED; (<b>b</b>) Small-signal model of the LCR.</p>
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<p>Predicted bias situation of a LCR loaded with one string <span class="html-italic">N</span>-LEDs by a constant voltage <span class="html-italic">V<sub>dc</sub></span> supply: (<b>a</b>) Combined characteristics of the one string <span class="html-italic">N</span>-LED and MOSFET of a LCR for bias and load-line descriptions; (<b>b</b>) Bias situation of the LCR for <span class="html-italic">T</span><sub>+</sub> &gt; <span class="html-italic">T</span><sub>0</sub> &gt; <span class="html-italic">T</span><sub>−</sub>.</p>
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<p>Bias situations for MOSFET and a single string LED during dimming process at <span class="html-italic">T</span> = <span class="html-italic">T</span><sub>0</sub>, where the LCR is supplied with constant <span class="html-italic">V<sub>dc</sub></span>.</p>
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<p>(<b>a</b>) Predicted bias situation of MOSFET with a constant low dropout <span class="html-italic">v<sub>DS</sub></span>, where the LCR is supplied with a variable <span class="html-italic">V<sub>dc</sub></span>; (<b>b</b>) Bias construction for the synthesized <span class="html-italic">VV<sub>dc</sub></span> with low-dropout <span class="html-italic">v<sub>DS</sub></span>.</p>
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<p>Current balance control for multiple-string <span class="html-italic">N</span>-LEDs using multiple identical <span class="html-italic">i<sub>DS</sub>-v<sub>DS</sub></span> planes, where all of the MOSFETs and LCRs are assumed to be identical with <span class="html-italic">VV<sub>dc</sub></span> supply.</p>
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<p>Configuration of master and slave control for the current balance of multiple string <span class="html-italic">N</span>-LED.</p>
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<p>The algorithm to implement <span class="html-italic">VVR</span> for supplying the LCRs, executed by Microchip dsPIC33FJ06GS202 with reference to <a href="#applsci-07-00206-f005" class="html-fig">Figure 5</a>b.</p>
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<p>Characteristics of the master LCR loaded with a single string 6-LED in dimming process by <span class="html-italic">v<sub>GS</sub></span> controlled: (<b>a</b>) The synthesized <span class="html-italic">VV<sub>dc</sub></span> composed of a specified <span class="html-italic">V<sub>DS</sub></span><sub>1</sub> ≡ <span class="html-italic">V<sub>Q</sub></span> ≅ 1.5 V, <span class="html-italic">v<sub>R</sub></span>, and <span class="html-italic">v<sub>D</sub></span><sub>5</sub> = 5<span class="html-italic">v<sub>D</sub></span>; (<b>b</b>) LED current <span class="html-italic">i<sub>D</sub></span> versus <span class="html-italic">v<sub>GS</sub></span>; (<b>c</b>) LED luminance with respect to conduction loss of MOSFET during dimming.</p>
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<p>The measurements of the five string 6-LEDs connected in parallel during dimming process: (<b>a</b>) Drain-to-source voltage <span class="html-italic">v<sub>DS</sub></span>’s; (<b>b</b>) Luminance’s emitted from the five string 6-LED, all measures are group-displayed with respect to the string LED currents.</p>
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<p>Experimental setup of a scale-down 5 × 6 LED display arranged by five string 6-LED in parallel connection, which can produce a uniform luminous output from 0 kcd/m<sup>2</sup> to 62.7 kcd/m<sup>2</sup> for the entire dimming range.</p>
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2988 KiB  
Article
Microwave-Assisted Synthesis of SiC Nanoparticles for the Efficient Adsorptive Removal of Nitroimidazole Antibiotics from Aqueous Solution
by Ali Fakhri, Sahar Rashidi, Mohammad Asif and Ahmed A. Ibrahim
Appl. Sci. 2017, 7(2), 205; https://doi.org/10.3390/app7020205 - 20 Feb 2017
Cited by 26 | Viewed by 4617
Abstract
Environmental pollution caused by the improper disposal of pharmaceuticals is a matter of global concern, and warrants immediate attention. Of particular concern is the aquatic contamination caused by the increasing use of antibiotics, which could give rise to superbugs. While researchers have mainly [...] Read more.
Environmental pollution caused by the improper disposal of pharmaceuticals is a matter of global concern, and warrants immediate attention. Of particular concern is the aquatic contamination caused by the increasing use of antibiotics, which could give rise to superbugs. While researchers have mainly focused on improving the adsorption capacity of mostly activated carbon-based adsorbents, we have developed a non-conventional adsorbent (SiC nanoparticles) in the present work for the adsorptive removal of four different nitroimidazole antibiotics, namely metronidazole (MNZ), dimetridazole (DMZ), ronidazole (RNZ), and tinidazole (TNZ). In addition to the unique properties which are inherent to SiC, the present adsorbent not only possesses a high adsorption capacity, but also shows one of the highest adsorption rates; both of which are prerequisites for an efficient and cost-effective adsorption-based separation technology. Silicon carbide (SiC) nanoparticles, synthesized by a microwave-assisted method, were thoroughly characterized using X-ray diffraction, scanning electron microscopy, transmission electron microscopy, and the Brunauer–Emmett–Teller method. The adsorption isotherm data were accurately described by the Langmuir isotherm model. On the other hand, the adsorption kinetics, closely represented by the pseudo-second order kinetic model, were faster than most previously reported adsorbents. The reaction rate constants were 0.0089, 0.0079, 0.0072, and 0.0055 g/(mg min), for MNZ, DMZ, RNZ, and TNZ, respectively. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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<p>X-ray diffraction pattern of SiC nanoparticles.</p>
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<p>Transmission electron microscopy (TEM) (<b>A</b>) and scanning electron microscopy (SEM) images (<b>B</b>) of SiC nanoparticles.</p>
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<p>Effects of contact time on the adsorption of nitroimidazoles onto SiC NPs (<span class="html-italic">C</span><sub>0</sub> = 30 mg/L, <span class="html-italic">T</span> = 25 °C; adsorbent dose = 0.1 g, pH = 8).</p>
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<p>Effects of initial pH on the adsorption of nitroimidazoles onto SiC NPs (<span class="html-italic">C</span><sub>0</sub> = 30 mg/L, <span class="html-italic">T</span> = 25 °C, adsorbent dose = 0.1 g).</p>
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<p>Langmuir model for nitroimidazole adsorption onto SiC NPs (<span class="html-italic">T</span> = 25 °C; adsorbent dose = 0.1 g, pH = 8).</p>
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<p>Pseudo-second order kinetic model for nitroimidazole adsorption onto SiC NPs (<span class="html-italic">C</span><sub>0</sub> = 30 mg/L, <span class="html-italic">T</span> = 25 °C; adsorbent dose = 0.1 g, pH = 8).</p>
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2811 KiB  
Article
Preliminary Study on the Damping Effect of a Lateral Damping Buffer under a Debris Flow Load
by Zheng Lu, Yuling Yang, Xilin Lu and Chengqing Liu
Appl. Sci. 2017, 7(2), 201; https://doi.org/10.3390/app7020201 - 20 Feb 2017
Cited by 40 | Viewed by 5993
Abstract
Simulating the impact of debris flows on structures and exploring the feasibility of applying energy dissipation devices or shock isolators to reduce the damage caused by debris flows can make great contribution to the design of disaster prevention structures. In this paper, we [...] Read more.
Simulating the impact of debris flows on structures and exploring the feasibility of applying energy dissipation devices or shock isolators to reduce the damage caused by debris flows can make great contribution to the design of disaster prevention structures. In this paper, we propose a new type of device, a lateral damping buffer, to reduce the vulnerability of building structures to debris flows. This lateral damping buffer has two mechanisms of damage mitigation: when debris flows impact on a building, it acts as a buffer, and when the structure vibrates due to the impact, it acts as a shock absorber, which can reduce the maximum acceleration response and subsequent vibration respectively. To study the effectiveness of such a lateral damping buffer, an impact test is conducted, which mainly involves a lateral damping buffer attached to a two-degree-of-freedom structure under a simulated debris flow load. To enable the numerical study, the equation of motion of the structure along with the lateral damping buffer is derived. A subsequent parametric study is performed to optimize the lateral damping buffer. Finally, a practical design procedure is also provided. Full article
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<p>A lateral damping buffer: (<b>a</b>) Front view; (<b>b</b>) Side view; (<b>c</b>) Model picture.</p>
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<p>Schematic diagram of the test: (<b>a</b>) Uncontrolled structure; (<b>b</b>) Structure with the lateral damping buffer; (<b>c</b>) Experimental model picture.</p>
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<p>Experimental device.</p>
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<p>Time history curves of structure with/without a lateral damping buffer (grade 7).</p>
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<p>Acceleration response and the reduction efficiency: (<b>a</b>) Maximum acceleration; (<b>b</b>) Root mean square (r.m.s) acceleration; (<b>c</b>) Response reduction effects.</p>
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<p>The frequency domain response: (<b>a</b>) Grade 4; (<b>b</b>) Grade 6.</p>
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<p>Mechanical model: (<b>a</b>) Geometric parameters; (<b>b</b>) Motion parameters.</p>
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<p>The comparison of the experimental and calculated maximum acceleration.</p>
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<p>The comparison of the experimental and calculated time history curves: (<b>a</b>) Grade 2; (<b>b</b>) Grade 8.</p>
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<p>The influence of the contact stiffness.</p>
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<p>The influence of the damping ratio.</p>
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<p>The influence of the mass ratio: (<b>a</b>) Maximum acceleration; (<b>b</b>) r.m.s acceleration.</p>
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<p>The design process of the lateral damping buffer in resisting debris flows.</p>
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499 KiB  
Article
An Adaptive Buffering Scheme for P2P Live and Time-Shifted Streaming
by Eunsam Kim, Taeyoung Kim and Choonhwa Lee
Appl. Sci. 2017, 7(2), 204; https://doi.org/10.3390/app7020204 - 18 Feb 2017
Cited by 4 | Viewed by 4839
Abstract
Recently, P2P streaming techniques have been a promising solution to a large-scale live streaming system because of their high scalability and low installation cost. In P2P live streaming systems, however, it is difficult to manage peers’ buffers effectively, because they can buffer only [...] Read more.
Recently, P2P streaming techniques have been a promising solution to a large-scale live streaming system because of their high scalability and low installation cost. In P2P live streaming systems, however, it is difficult to manage peers’ buffers effectively, because they can buffer only a limited amount of data around a live broadcasting time in the main memory and suffer from long playback lag due to the nature of P2P structures. In addition, the number of peers decreases rapidly as the playback position moves further from this time by performing time-shifted viewing. These situations widen the distribution of peers’ playback positions, thereby decreasing the degree of data duplication among peers. Moreover, it is hard to use each peer’s buffer as the caching area because the buffer area where the chunks that have already been played back are stored can be overwritten at any time by new chunks that will arrive soon. In this paper, we therefore propose a novel buffering scheme to significantly increase data duplication in buffering periods among peers in P2P live and time-shifted streaming systems. In our proposed scheme, the buffer ratio of each peer is adaptively adjusted according to its relative playback position in a group by increasing the ratio of the caching area in its buffer as its playback position moves earlier in time and increasing the ratio of the prefetching area as its playback position moves later. Through extensive simulations, we demonstrate that our proposed adaptive buffering scheme outperforms the conventional buffering technique considerably in terms of startup delay, average jitter ratio, and the ratio of necessary chunks in a buffermap. Full article
(This article belongs to the Special Issue High-Performance and Parallel Computer Systems: Design and Algorithms)
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<p>Buffer status of a peer in peer-to-peer (P2P) live streaming systems.</p>
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<p>Peer group management according to peers’ playback periods.</p>
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<p>Ratio of caching and prefetching areas according to peers’ relative playback position within group <span class="html-italic">j</span>.</p>
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<p>A comparison of ratios of caching and prefetching areas between (<b>a</b>) fixed buffering scheme and (<b>b</b>) adaptive buffering.</p>
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<p>Assignment of peers to playback zones.</p>
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<p>Startup delay according to the number of peers (number of chunks per buffermap: 512).</p>
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<p>Startup delay according to the number of chunks per buffermap (number of peers: 1200).</p>
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<p>Jitter ratio according to the number of peers (number of chunks per buffermap: 512).</p>
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<p>Jitter ratio according to the number of chunks per buffermap (number of peers: 1200).</p>
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<p>Ratio of necessary chunks in a buffermap according to the number of peers (number of chunks per buffermap: 512).</p>
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<p>Ratio of necessary chunks in a buffermap according to the number of chunks per buffermap (number of peers: 1200).</p>
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3554 KiB  
Article
Fuzzy Synthetic Evaluation of the Long-Term Health of Tunnel Structures
by Bo Wang, Chencong Mo, Chuan He and Qixiang Yan
Appl. Sci. 2017, 7(2), 203; https://doi.org/10.3390/app7020203 - 17 Feb 2017
Cited by 23 | Viewed by 5622
Abstract
A tunnel is a coupled system of the surrounding rock and the supporting structure. The health status of a tunnel structure is complex and is influenced by various factors. In addition, these factors are coupled and interacted with each other, which calls for [...] Read more.
A tunnel is a coupled system of the surrounding rock and the supporting structure. The health status of a tunnel structure is complex and is influenced by various factors. In addition, these factors are coupled and interacted with each other, which calls for the linguistic description of the tunnel safety level. In this paper, we describe the health status of a highway tunnel structure in terms of four levels: safe; basically safe; potentially unsafe and unsafe. Based on the analysis of the safety characteristics of the tunnel structure and its proposed safety level, this research develops a multi-level fuzzy synthetic evaluation model for the long-term safety evaluation system of a tunnel structure. The Cang Ling Tunnel, which has embedded sensors to measure the stress values of the secondary lining and the contact pressure, is used as an example to study the proposed method. The results show that the structure of the entire Cang Ling Tunnel is in almost a safe condition under the current conditions, which is consistent with the actual operational situation. Full article
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
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<p>Steps of the fuzzy comprehensive evaluation method.</p>
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<p>The evaluation processing diagram of long-term health of the tunnel structure.</p>
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<p>Plane and vertical sectional diagram of Cang Ling Tunnel.</p>
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<p>The principal stress field distribution along the axial direction of Cang Ling Tunnel.</p>
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<p>Layout diagram of the long-term monitoring sensors in Cang Ling Tunnel.</p>
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<p>Embedding figures of the reserved cavity, pressure cell, and strain gauge in the field. (<b>a</b>) Pressure cell; (<b>b</b>) Strain gauge; (<b>c</b>) Reserved cavity.</p>
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<p>Fuzzy synthetic evaluation model.</p>
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<p>Entire life cycle loading and destructive model test for the secondary lining. (<b>a</b>) Test equipment diagram; (<b>b</b>) Failure diagram of lining structure.</p>
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<p>Figure of membership function for qualitative indices.</p>
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<p>Time-history curve of the contact pressure, axial force, and bending moment of the vault (K102+340 section). (<b>a</b>) Contact pressure; (<b>b</b>) Axial force; (<b>c</b>) Bending moment.</p>
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<p>Structural safety status of Cang Ling Tunnel at present. (<b>a</b>) Left line; (<b>b</b>) Right line.</p>
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6766 KiB  
Article
Numerical Study on the Asphalt Concrete Structure for Blast and Impact Load Using the Karagozian and Case Concrete Model
by Jun Wu, Liang Li, Xiuli Du and Xuemei Liu
Appl. Sci. 2017, 7(2), 202; https://doi.org/10.3390/app7020202 - 17 Feb 2017
Cited by 18 | Viewed by 6501
Abstract
The behaviour of an asphalt concrete structure subjected to severe loading, such as blast and impact loadings, is becoming critical for safety and anti-terrorist reasons. With the development of high-speed computational capabilities, it is possible to carry out the numerical simulation of an [...] Read more.
The behaviour of an asphalt concrete structure subjected to severe loading, such as blast and impact loadings, is becoming critical for safety and anti-terrorist reasons. With the development of high-speed computational capabilities, it is possible to carry out the numerical simulation of an asphalt concrete structure subjected to blast or impact loading. In the simulation, the constitutive model plays a key role as the model defines the essential physical mechanisms of the material under different stress and loading conditions. In this paper, the key features of the Karagozian and Case concrete model (KCC) adopted in LSDYNA are evaluated and discussed. The formulations of the strength surfaces and the damage factor in the KCC model are verified. Both static and dynamic tests are used to determine the parameters of asphalt concrete in the KCC model. The modified damage factor is proposed to represent the higher failure strain that can improve the simulation of the behaviour of AC material. Furthermore, a series test of the asphalt concrete structure subjected to blast and impact loadings is conducted and simulated by using the KCC model. The simulation results are then compared with those from both field and laboratory tests. The results show that the use of the KCC model to simulate asphalt concrete structures can reproduce similar results as the field and laboratory test. Full article
(This article belongs to the Special Issue Advanced Asphalt Materials and Paving Technologies)
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<p>Strength surfaces for the Karagozian and Case concrete model (KCC) material model [<a href="#B14-applsci-07-00202" class="html-bibr">14</a>].</p>
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<p>Determination of parameters in KCC from experimental data.</p>
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<p>Validation of the failure surface from the scaling law.</p>
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<p>Damage factor used for AC material.</p>
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<p>Equation of state (EOS) for AC with <span class="html-italic">f<sub>c</sub></span> = 4.6 MPa.</p>
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<p>Tensile and compressive dynamic increase factor (DIF) curve used in the numerical model for asphalt concrete.</p>
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<p>Cross-section of the multi-layer pavement slab. HSC, high strength concrete; ECC, engineering cementitious composite.</p>
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<p>Plan view of the multi-layer pavement slab before the blast event.</p>
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<p>Layout of instrumentation for field blast test. TPC, total pressure cell.</p>
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<p>Finite element model of the multi-layer pavement slab.</p>
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<p>Damage of the multi-layer pavement after blast loading: (<b>a</b>) damage pattern of the AC layer in field blast test; (<b>b</b>) damage pattern of the HSC layer in field blast test.</p>
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<p>Damage contour for the AC and HSC layer in the multi-layers pavement: (<b>a</b>) damage contour of the AC layer in the numerical simulation; (<b>b</b>) damage contour of the HSC layer in the numerical simulation.</p>
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<p>Setup for the impact test.</p>
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<p>Positioning of the potentiometers.</p>
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<p>Configuration of the drop weight head (quarter model): (<b>a</b>) standard configuration; (<b>b</b>) simple configuration.</p>
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<p>Numerical model for a multi-layer pavement slab under drop weight impact (quarter model).</p>
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<p>Damage of the multi-layer slab after the first impact: (<b>a</b>) damage pattern of slab in the laboratory test; (<b>b</b>) damage pattern of slab in the numerical simulation.</p>
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<p>Damage of multi-layer slab after the second impact: (<b>a</b>) damage pattern of slab in the laboratory test; (<b>b</b>) damage pattern of slab in the numerical simulation.</p>
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<p>ECC bottom after the second impact: (<b>a</b>) damage pattern of the bottom of ECC layer in the laboratory test; (<b>b</b>) damage pattern of the bottom of ECC layer in the numerical simulation.</p>
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3550 KiB  
Article
Comparative Interactions of Dihydroquinazolin Derivatives with Human Serum Albumin Observed via Multiple Spectroscopy
by Yi Wang, Meiqing Zhu, Jia Liu, Risong Na, Feng Liu, Xiangwei Wu, Shisuo Fan, Zhen Wang, Dandan Pan, Jun Tang, Qing X. Li, Rimao Hua and Shangzhong Liu
Appl. Sci. 2017, 7(2), 200; https://doi.org/10.3390/app7020200 - 17 Feb 2017
Cited by 9 | Viewed by 4731
Abstract
The interactions of dihydroquinazolines with human serum albumin (HSA) were studied in pH 7.4 aqueous solution via fluorescence, circular dichroism (CD) and Fourier transform infrared (FTIR) spectroscopic techniques. In this work, 6-chloro-1-(3,3-dimethyl-butanoyl)-2(un)substitutedphenyl-2,3-dihydroquinazolin-4(1H)-one (PDQL) derivatives were designed and synthesized to study the impact of [...] Read more.
The interactions of dihydroquinazolines with human serum albumin (HSA) were studied in pH 7.4 aqueous solution via fluorescence, circular dichroism (CD) and Fourier transform infrared (FTIR) spectroscopic techniques. In this work, 6-chloro-1-(3,3-dimethyl-butanoyl)-2(un)substitutedphenyl-2,3-dihydroquinazolin-4(1H)-one (PDQL) derivatives were designed and synthesized to study the impact of five similar substituents (methyl, methoxy, cyano, trifluoromethyl and isopropyl) on the interactions between PDQL and HSA using a comparative methodology. The results revealed that PDQL quenched the intrinsic fluorescence of HSA through a static quenching process. Displacement experiments with site-specific markers revealed that PDQL binds to HSA at site II (subdomain IIIA) and that there may be only one binding site for PDQL on HSA. The thermodynamic parameters indicated that hydrophobic interactions mainly drove the interactions between PDQL and HSA. The substitution using five similar groups in the benzene ring could increase the interactions between PDQL and HSA to some extent through the van der Waals force or hydrogen bond effects in the proper temperature range. Isopropyl substitution could particularly enhance the binding affinity, as observed via comparative studies Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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<p>Synthetic route for 6-chloro-1-(3,3-dimethyl-butanoyl)-2-(un)substituted phenyl-2,3-dihydroquinazolin-4(1<span class="html-italic">H</span>)-one (PDQL).</p>
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<p>Fluorescence quenching spectra of HSA in the presence of different concentrations of PDQL at 298 K. λ<sub>ex</sub> = 280 nm; the HSA concentration was 1.0 × 10<sup>−6</sup> M; (a–i) PDQL concentrations (×10<sup>−6</sup> M) were 0.000, 1.333, 2.667, 4.000, 5.333, 6.667, 8.000, 9.333 and 10.667, respectively. (x) 1.0 × 10<sup>−6</sup> M PDQL only.</p>
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<p>The Stern-Volmer plots for the fluorescence quenching of HSA by PDQL.</p>
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<p>Modified Stern-Volmer plots of PDQL-HSA systems.</p>
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<p>Far-UV circular dichroism (CD) spectra of the PDQL-HSA system: <span class="html-italic">C</span><sub>HSA</sub> = 1.0 × 10<sup>−6</sup> M and 1.0 × 10<sup>−6</sup> M HSA + 2.0 × 10<sup>−6</sup> M PDQL.</p>
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<p>FTIR spectra of free HSA (1.0 × 10<sup>−5</sup> M) and the PDQL-HSA complex ((PDQL) = 2.0 × 10<sup>−5</sup> M).</p>
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4115 KiB  
Article
Surface Quality of Staggered PCD End Mill in Milling of Carbon Fiber Reinforced Plastics
by Guangjun Liu, Hongyuan Chen, Zhen Huang, Fei Gao and Tao Chen
Appl. Sci. 2017, 7(2), 199; https://doi.org/10.3390/app7020199 - 17 Feb 2017
Cited by 24 | Viewed by 6446
Abstract
Machined surface quality determines the reliability, wear resistance and service life of carbon fiber reinforced plastic (CFRP) workpieces. In this work, the formation mechanism of the surface topography and the machining defects of CFRPs are proposed, and the influence of milling parameters and [...] Read more.
Machined surface quality determines the reliability, wear resistance and service life of carbon fiber reinforced plastic (CFRP) workpieces. In this work, the formation mechanism of the surface topography and the machining defects of CFRPs are proposed, and the influence of milling parameters and fiber cutting angles on the surface quality of CFRPs is obtained, which can provide a reference for extended tool life and good surface quality. Trimming and slot milling tests of unidirectional CFRP laminates are performed. The surface roughness of the machined surface is measured, and the influence of milling parameters on the surface roughness is analyzed. A regression model for the surface roughness of CFRP milling is established. A significance test of the regression model is conducted. The machined surface topography of milling CFRP unidirectional laminates with different fiber orientations is analyzed, and the effect of fiber cutting angle on the surface topography of the machined surface is presented by using a digital super depth-of-field microscope and scanning electron microscope (SEM). To study the influence of fiber cutting angle on machining defects, the machined topography under different fiber orientations is analyzed. The slot milling defects and their formation mechanism under different fiber cutting angles are investigated. Full article
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<p>Experimental setup.</p>
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<p>The staggered PCD (Polycrystalline diamond) end mills.</p>
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<p>Influence of milling parameters on surface roughness. (<b>a</b>) <span class="html-italic">R</span><sub>a</sub> versus <span class="html-italic">v</span>; (<b>b</b>) <span class="html-italic">R</span><sub>a</sub> versus <span class="html-italic">a</span><sub>e</sub>; (<b>c</b>) <span class="html-italic">R</span><sub>a</sub> versus <span class="html-italic">f</span><sub>z</sub>.</p>
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<p>Machined surface topography when θ = 45°. (<b>a</b>) Resin coating and fiber baring (SEM micrograph); (<b>b</b>) Chip adhesion (SEM micrograph).</p>
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<p>Surface burrs when θ = 45° (SEM micrograph).</p>
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<p>Machined surface topography when θ = 90°. (<b>a</b>) Serious resin coating (SEM micrograph); (<b>b</b>) Slight resin coating (SEM micrograph).</p>
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<p>Machined surface topography when θ = 135°. (<b>a</b>) Machined surface topography (SEM micrograph); (<b>b</b>) Upper surface tearing (microscope image).</p>
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<p>Machined surface topography when θ = 0° (SEM micrograph).</p>
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<p>Diagram of slot milling cutting angle.</p>
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<p>Slot milling topography of different fiber orientations. (<b>a</b>) β = 0°; (<b>b</b>) β = 45°; (<b>c</b>) β = 90°; (<b>d</b>) β = 135°.</p>
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5517 KiB  
Article
Experimental Investigation on Soft Galloping and Hard Galloping of Triangular Prisms
by Jijian Lian, Xiang Yan, Fang Liu, Jun Zhang, Quanchao Ren and Xu Yang
Appl. Sci. 2017, 7(2), 198; https://doi.org/10.3390/app7020198 - 17 Feb 2017
Cited by 25 | Viewed by 4716
Abstract
The studies currently on soft galloping (SG) and hard galloping (HG) are scarce. In this study, SG and HG of spring-mounted triangular prisms in a water channel are investigated experimentally. A power take-off system (PTO), a spring system, additional weights, and different triangular [...] Read more.
The studies currently on soft galloping (SG) and hard galloping (HG) are scarce. In this study, SG and HG of spring-mounted triangular prisms in a water channel are investigated experimentally. A power take-off system (PTO), a spring system, additional weights, and different triangular prisms were used to achieve the variations in damping coefficient c, system stiffness K, oscillation mass m and section aspect ratios α, respectively. The present paper proves that the VIV (vortex-induced vibration) lower branch can be observed in the SG response. In SG response, VIV branches are incomplete while the galloping branch is complete, and galloping can be self-initiated only in the self-excited region. On the contrary, in HG response, VIV branches are complete, the galloping branch is incomplete, and galloping can only be initiated by external excitation at a velocity exceeding the critical velocity. As c and m increase, or K and α decrease, the oscillation mode of a triangular prism gradually transitions from SG to CG (critical galloping), and continues to HG. The amplitude in VIV branch is the main reason causing the onset of galloping in SG response. A critical damping coefficient cc, which is dependent on m, K and α, is proposed to predict the occurrences of SG, CG and HG. When c < cc, SG occurs; when c > cc, HG occurs; when c = cc, CG occurs. Full article
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<p>Layout of recirculating water channel system.</p>
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<p>Comparison of increasing and decreasing flow velocity.</p>
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<p>Experimental setup: (<b>a</b>) Oscillation system and triangular prism; (<b>b</b>) Power take-off system (PTO); (<b>c</b>) Load resistance.</p>
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<p>Simple schematic of the spring-mounted triangular prism with PTO in coming flow.</p>
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<p>Damping coefficient of the oscillation system <span class="html-italic">c</span> versus load resistance ratio <span class="html-italic">R</span><sup>*</sup>.</p>
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<p>Illustration of system stiffness: (<b>a</b>) Force diagram; (<b>b</b>) Actual device.</p>
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<p>Linearity verification of system stiffness.</p>
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<p>The triangular prisms. (<b>a</b>) The physical models; (<b>b</b>) Different section aspect ratios.</p>
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<p>Complete SG responses; (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>c</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11 in Path 2; (<b>d</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11 in Path 2; (<b>e</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11 in Path 4; (<b>f</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11 in Path 4.</p>
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<p>Complete SG responses; (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>c</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 3; (<b>d</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 3; (<b>e</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 4; (<b>f</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 4.</p>
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<p>Complete SG responses; (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>c</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 3; (<b>d</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 3; (<b>e</b>) Time history of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 4; (<b>f</b>) Spectrum of displacement at <span class="html-italic">U<sub>r</sub></span> = 11.625 in Path 4.</p>
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<p>Oscillation modes under different damping coefficients <span class="html-italic">c</span>: (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>.</p>
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<p>Oscillation modes under different stiffnesses <span class="html-italic">K</span>: (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>.</p>
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<p>Oscillation modes under different mass <span class="html-italic">m</span>: (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>.</p>
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<p>Oscillation modes under different section aspect ratios α: (<b>a</b>) Amplitude ratio <span class="html-italic">A</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>; (<b>b</b>) Frequency ratio <span class="html-italic">f</span><sup>*</sup> versus reduced velocity <span class="html-italic">U<sub>r</sub></span>.</p>
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<p>Evolution of the oscillation mode for triangular prism.</p>
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<p>Occurrence maps of SG, CG and HG: (<b>a</b>) Map with variations of <span class="html-italic">c</span> and <span class="html-italic">K</span>; (<b>b</b>) Map with variations of <span class="html-italic">c</span> and <span class="html-italic">m</span>; (<b>c</b>) Map with variations of <span class="html-italic">c</span> and α.</p>
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6165 KiB  
Article
Surrogate Based Optimization of Aerodynamic Noise for Streamlined Shape of High Speed Trains
by Zhenxu Sun, Ye Zhang and Guowei Yang
Appl. Sci. 2017, 7(2), 196; https://doi.org/10.3390/app7020196 - 17 Feb 2017
Cited by 21 | Viewed by 7536
Abstract
Aerodynamic noise increases with the sixth power of the running speed. As the speed increases, aerodynamic noise becomes predominant and begins to be the main noise source at a certain high speed. As a result, aerodynamic noise has to be focused on when [...] Read more.
Aerodynamic noise increases with the sixth power of the running speed. As the speed increases, aerodynamic noise becomes predominant and begins to be the main noise source at a certain high speed. As a result, aerodynamic noise has to be focused on when designing new high-speed trains. In order to perform the aerodynamic noise optimization, the equivalent continuous sound pressure level (SPL) has been used in the present paper, which could take all of the far field observation probes into consideration. The Non-Linear Acoustics Solver (NLAS) approach has been utilized for acoustic calculation. With the use of Kriging surrogate model, a multi-objective optimization of the streamlined shape of high-speed trains has been performed, which takes the noise level in the far field and the drag of the whole train as the objectives. To efficiently construct the Kriging model, the cross validation approach has been adopted. Optimization results reveal that both the equivalent continuous sound pressure level and the drag of the whole train are reduced in a certain extent. Full article
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Graphical abstract

Graphical abstract
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<p>The schematic drawing of solution procedure for Computational aero-acoustics (CAA) calculation.</p>
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<p>Wind tunnel train model and mesh configuration for numerical simulation: (<b>a</b>) wind tunnel model; and (<b>b</b>) mesh configuration.</p>
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<p>Schematic of surface deformation by Local Shape Function (LSF) method.</p>
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<p>Deformation zones and local deformations: (<b>a</b>) schematic of deformation zones; and (<b>b</b>) the deformation of the nose and the cab window.</p>
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<p>Schematic drawing of surrogated based optimization.</p>
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<p>The whole train model.</p>
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<p>Computational domain.</p>
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<p>The grids on the longitudinal section and on the surface of leading streamline: (<b>a</b>) mesh distribution on the longitudinal section; and (<b>b</b>) surface grids of the leading streamline.</p>
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<p>The grids on the longitudinal section of wake region.</p>
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<p>Schematic drawing of the observation probes in the far field.</p>
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<p>The convergence history of the fitness and the exact value for each variable.</p>
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<p>The Pareto front based on the drag of the whole train and the equivalent continuous SPL.</p>
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<p>Comparison of the streamlined shape between the prototype and the optimal shape. (<b>a</b>) View from the direction of positive <span class="html-italic">y</span>; and (<b>b</b>) view from the direction of negative <span class="html-italic">y</span>.</p>
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<p>Comparison of drag coefficients of each carriage before and after optimization.</p>
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<p>Pressure contour on the leading car before and after optimization (Pressure: Pa).</p>
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<p>Pressure contour on the trailing car before and after optimization.</p>
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<p>Pressure coefficient along the longitudinal profile of the leading car and trailing car before and after optimization.</p>
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<p>The Overall A-weighted Sound Pressure Levels (OASPLAs) of all the probes before and after optimization.</p>
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<p>Student charts between the objectives and the design variables: (<b>a</b>) student chart between drag and four design variables; and (<b>b</b>) student chart between sound pressure level and four design variables.</p>
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<p>Relationship between aerodynamic noise and <span class="html-italic">W</span><sub>2</sub> and <span class="html-italic">W</span><sub>4</sub>. (<b>a</b>) Surrogate model between aerodynamic noise and <span class="html-italic">W</span><sub>2</sub> and <span class="html-italic">W</span><sub>4</sub>; and (<b>b</b>) projection of aerodynamic noise on the <span class="html-italic">W</span><sub>2</sub>–<span class="html-italic">W</span><sub>4</sub> plane.</p>
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<p>The relationships of aerodynamic noise and the other design variable on the condition of one design variable unchanged: (<b>a</b>) SPL vs. <span class="html-italic">W</span><sub>2</sub>; and (<b>b</b>) SPL vs. <span class="html-italic">W</span><sub>4</sub>.</p>
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3869 KiB  
Article
Dielectric Characterization of Chinese Standard Concrete for Compressive Strength Evaluation
by Kwok L. Chung, Lei Yuan, Songtao Ji, Li Sun, Chengping Qu and Chunwei Zhang
Appl. Sci. 2017, 7(2), 177; https://doi.org/10.3390/app7020177 - 17 Feb 2017
Cited by 34 | Viewed by 8337
Abstract
Dielectric characterization of concrete is essential for the wireless structural health monitoring (SHM) of concrete structures. Guo Biao (GB) concrete refers to the concrete mixed and cast in accordance with the Chinese standard. Currently, China is the largest producer and consumer of concrete [...] Read more.
Dielectric characterization of concrete is essential for the wireless structural health monitoring (SHM) of concrete structures. Guo Biao (GB) concrete refers to the concrete mixed and cast in accordance with the Chinese standard. Currently, China is the largest producer and consumer of concrete in the world. However, minimal attention has been paid to the dielectric properties of GB concrete. This paper presents the results of the dielectric constant of GB concrete, where three regression models have been used to present the measurement data from 10 MHz to 6 GHz. The objective is to provide a data set of nominal values of the dielectric constant for ordinary GB concrete. The final goal is to facilitate a compressive strength evaluation via the measured dielectric constant. Measurements of the dielectric constant and compressive strength for five types of ordinary concrete have been undertaken, after 28 days of curing. As the main contribution in this work, the correlation model between the compressive strength and dielectric constant of GB concrete is realized. Full article
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
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<p>A big picture illustrating the cross-disciplinary work for compressive strength evaluation, using the dielectric constant of 28-day cement concrete.</p>
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<p>Photographs for GB concrete mixing and casting: (<b>a</b>) anchor type of concrete mixer; (<b>b</b>) elimination of entrapped air from specimens using vibration table.</p>
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<p>Experimental setup of dielectric constant measurement.</p>
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<p>Measured average compressive strength and standard deviation versus <span class="html-italic">w</span>/<span class="html-italic">c</span> ratio.</p>
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<p>Average values of the measured dielectric constant versus frequency.</p>
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<p>Dielectric characterization of GB concrete via curve fitting to measured data using the first-order exponential model, Debye model, and Jonscher model, expressed in (<b>a</b>) linear scale; (<b>b</b>) log-frequency scale.</p>
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<p>Dielectric constant versus water-to-cement ratio of GB concrete.</p>
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<p>Compressive strength versus dielectric constant of GB concrete, (<b>a</b>) at various frequencies; (<b>b</b>) at 2.45 GHz with both the standard deviations from measurement.</p>
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2548 KiB  
Article
Simulation of Hybrid Photovoltaic Solar Assisted Loop Heat Pipe/Heat Pump System
by Nannan Dai, Xinyi Xu, Shuhong Li and Zheng Zhang
Appl. Sci. 2017, 7(2), 197; https://doi.org/10.3390/app7020197 - 16 Feb 2017
Cited by 26 | Viewed by 6712
Abstract
A hybrid photovoltaic solar assisted loop heat pipe/heat pump (PV-SALHP/HP) water heater system has been developed and numerically studied. The system is the combination of loop heat pipe (LHP) mode and heat pump (HP) mode, and the two modes can be run separately [...] Read more.
A hybrid photovoltaic solar assisted loop heat pipe/heat pump (PV-SALHP/HP) water heater system has been developed and numerically studied. The system is the combination of loop heat pipe (LHP) mode and heat pump (HP) mode, and the two modes can be run separately or compositely according to the weather conditions. The performances of independent heat pump (HP) mode and hybrid loop heat pipe/heat pump (LHP/HP) mode were simulated and compared. Simulation results showed that on typical sunny days in spring or autumn, using LHP/HP mode could save 40.6% power consumption than HP mode. In addition, the optimal switchover from LHP mode to HP mode was analyzed in different weather conditions for energy saving and the all-year round operating performances of the system were also simulated. The simulation results showed that hybrid LHP/HP mode should be utilized to save electricity on sunny days from March to November and the system can rely on LHP mode alone without any power consumption in July and August. When solar radiation and ambient temperature are low in winter, HP mode should be used Full article
(This article belongs to the Special Issue Sciences in Heat Pump and Refrigeration)
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<p>Schematic diagram of the photovoltaic solar assisted loop heat pipe/heat pump (PV-SALHP/HP) system.</p>
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<p>Structure diagram of the photovoltaic/thermal evaporator. EVA, ethylene-vinyl acetate; TPT, tedlar-polyester-tedlar.</p>
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<p>Heat transfer process of the photovoltaic/thermal (PV/T) collector. (<b>a</b>) Schematics of heat transfer in the PV/T collector; (<b>b</b>) Heat transfer resistance model of the PV/T collector.</p>
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<p>Variations of water temperature and COP with heating time for HP mode and LHP/HP mode.</p>
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<p>Variations of compressor work and overall efficiency with heating time for HP mode and LHP/HP mode.</p>
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<p>Variations of water temperature and COP with heating time for HP mode.</p>
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<p>Variations of compressor work and overall efficiency with heating time for HP mode.</p>
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<p>Variations of switching water temperature with weather conditions for LHP/HP mode.</p>
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<p>Variations of compressor work and COP with weather conditions for LHP/HP mode.</p>
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<p>Monthly mean electricity consumption for HP mode and LHP/HP mode.</p>
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<p>Monthly mean overall efficiency and switching water temperature for HP mode and LHP/HP mode.</p>
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7686 KiB  
Article
Time-Sequential Working Wavelength-Selective Filter for Flat Autostereoscopic Displays
by René De la Barré, Roland Bartmann, Silvio Jurk, Mathias Kuhlmey, Bernd Duckstein, Arno Seeboth, Detlef Lötzsch, Christian Rabe, Peter Frach, Hagen Bartzsch, Matthias Gittner, Stefan Bruns, Gerhard Schottner and Johanna Fischer
Appl. Sci. 2017, 7(2), 194; https://doi.org/10.3390/app7020194 - 16 Feb 2017
Cited by 4 | Viewed by 6347
Abstract
A time-sequential working, spatially-multiplexed autostereoscopic 3D display design consisting of a fast switchable RGB-color filter array and a fast color display is presented. The newly-introduced 3D display design is usable as a multi-user display, as well as a single-user system. The wavelength-selective filter [...] Read more.
A time-sequential working, spatially-multiplexed autostereoscopic 3D display design consisting of a fast switchable RGB-color filter array and a fast color display is presented. The newly-introduced 3D display design is usable as a multi-user display, as well as a single-user system. The wavelength-selective filter barrier emits the light from a larger aperture than common autostereoscopic barrier displays with similar barrier pitch and ascent. Measurements on a demonstrator with commercial display components, simulations and computational evaluations have been carried out to describe the proposed wavelength-selective display design in static states and to show the weak spots of display filters in commercial displays. An optical modelling of wavelength-selective barriers has been used for instance to calculate the light ray distribution properties of that arrangement. In the time-sequential implementation, it is important to avoid that quick eye or eyelid movement leads to visible color artifacts. Therefore, color filter cells, switching faster than conventional LC display cells, must distribute directed light from different primaries at the same time, to create a 3D presentation. For that, electric tunable liquid crystal Fabry–Pérot color filters are presented. They switch on-off the colors red, green and blue in the millisecond regime. Their active areas consist of a sub-micrometer-thick nematic layer sandwiched between dielectric mirrors and indium tin oxide (ITO)-electrodes. These cells shall switch narrowband light of red, green or blue. A barrier filter array for a high resolution, glasses-free 3D display has to be equipped with several thousand switchable filter elements having different color apertures. Full article
(This article belongs to the Special Issue Optical Modulators and Switches)
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<p>Principle of time-sequential operation of a wavelength-selective multiview 3D display at the state at <span class="html-italic">t</span><sub>1</sub> and <span class="html-italic">t</span><sub>2</sub> with resolution enhancement in the same positioned viewing zones <span class="html-italic">V</span>1 to <span class="html-italic">VN.</span></p>
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<p>Partial view on the setup of the time-sequential wavelength-selective 3D display. The depicted colored light-rays are transmitted through the corresponding color filter stripes. The presentations on the left and right show the two switching states at times <span class="html-italic">t</span><sub>1</sub> and <span class="html-italic">t</span><sub>2</sub>.</p>
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<p>Top view, horizontal cross-section of the display design for single-user mode. The left and the right view share always six red subpixels per group <span class="html-italic">VP</span> [<a href="#B19-applsci-07-00194" class="html-bibr">19</a>] (© Fraunhofer HHI).</p>
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<p><b>Left side</b>: wavelength-selective filter barrier in two switching stages <span class="html-italic">t</span><sub>1</sub> and <span class="html-italic">t</span><sub>2</sub>; <b>Right side</b>: the corresponding interleaving of the image contents of the left view (1) and the right view (2) and its mixes (1<span class="html-italic">X</span>2 and 2<span class="html-italic">X</span>1).</p>
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<p>Luminance profiles for a two-view display design, <b>left</b> without gaps and <b>right</b> with gaps on the subpixel matrix.</p>
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<p>Multiview mode with special color filter scheme by using nine views and three switching stages (at the times <span class="html-italic">t</span><sub>1</sub>, <span class="html-italic">t</span><sub>2</sub>, <span class="html-italic">t</span><sub>3</sub>); on the <b>left side</b> is illustrated the color filters and on the <b>right</b> <b>side</b> the corresponding interleaving pattern.</p>
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<p>Luminance profiles for the nine views of the multiview display design.</p>
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<p>Demonstrator, with 90° crossed display panel, mounted to a metal frame with calibration fixtures. (<b>a</b>) frontal view and (<b>b</b>) lateral view with details.</p>
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<p>Comparison of idealized subpixel structures (only green glows) on the left with the real subpixel structures on the right. (<b>a</b>) Display 1 (image display) and (<b>b</b>) Display 2 (color barrier).</p>
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<p><b>Left:</b> Display 1 with white spectrum and 90° tilted Display 2 with single prime-colors, visible crosstalk of blue in green; <b>Right:</b> spectral intensity of the green color primaries from both panels.</p>
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<p><b>Left</b>: experimental measured luminance for views 1 and 2; <b>Right</b>: crosstalk green for views 1 and 2, one channel green/one channel black.</p>
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<p><b>Left</b>: simulated and experimental measured luminance for views 1 and 2; <b>Right</b>: crosstalk of green between views 1 and 2, one channel green/one channel black.</p>
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<p><b>Left</b>: simulated and experimental measured luminance for views 1 and 2; <b>Right</b>: crosstalk of green between views 1 and 2, three channels green/three channels black.</p>
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<p>Overview of the basic configuration of the nematic liquid crystal (NLC) Fabry–Pérot color filter and the principle of the switching in an electric field E.</p>
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<p>Transmission of Device I in the off-state (―) and in the on-state (…) measured with non-polarized (<b>a</b>) and with linear polarized (<b>b</b>) incident light.</p>
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<p>Transmission and visual appearance for the devices dedicated to a monochromatic incident light for red (<b>a</b>); green (<b>b</b>) and blue (<b>c</b>).</p>
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4003 KiB  
Article
Comparison of Oil Spill Classifications Using Fully and Compact Polarimetric SAR Images
by Yuanzhi Zhang, Yu Li, X. San Liang and Jinyeu Tsou
Appl. Sci. 2017, 7(2), 193; https://doi.org/10.3390/app7020193 - 16 Feb 2017
Cited by 32 | Viewed by 6194
Abstract
In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill [...] Read more.
In this paper, we present a comparison between several algorithms for oil spill classifications using fully and compact polarimetric SAR images. Oil spill is considered as one of the most significant sources of marine pollution. As a major difficulty of SAR-based oil spill detection algorithms is the classification between mineral and biogenic oil, we focus on quantitatively analyzing and comparing fully and compact polarimetric satellite synthetic aperture radar (SAR) modes to detect hydrocarbon slicks over the sea surface, discriminating them from weak-damping surfactants, such as biogenic slicks. The experiment was conducted on quad-pol SAR data acquired during the Norwegian oil-on-water experiment in 2011. A universal procedure was used to extract the features from quad-, dual- and compact polarimetric SAR modes to rank different polarimetric SAR modes and common supervised classifiers. Among all the dual- and compact polarimetric SAR modes, the π/2 mode has the best performance. The best supervised classifiers vary and depended on whether sufficient polarimetric information can be obtained in each polarimetric mode. We also analyzed the influence of the number of polarimetric parameters considered as inputs for the supervised classifiers, onto the detection/discrimination performance. We discovered that a feature set with four features is sufficient for most polarimetric feature-based oil spill classifications. Moreover, dimension reduction algorithms, including principle component analysis (PCA) and the local linear embedding (LLE) algorithm, were employed to learn low dimensional and distinctive information from quad-polarimetric SAR features. The performance of the new feature sets has comparable performance in oil spill classification. Full article
(This article belongs to the Special Issue Polarimetric SAR Techniques and Applications)
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<p>Demonstration of radar scattering from the sea surface.</p>
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<p>Pauli RGB image of RADARSAT-2 data.</p>
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<p>Quad-pol features extracted from the RASARSAT-2 data.</p>
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<p>Quad-pol features extracted from the RASARSAT-2 data.</p>
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<p>Classification accuracy achieved by three classifiers with the number of features changing from 2–10.</p>
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<p>Classification results based on quad-pol SAR features using different classifiers. (<b>a</b>) SVM; (<b>b</b>) ML; (<b>c</b>) ANN.</p>
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<p>Classification accuracy of different polarimetric SAR modes achieved by SVM, ANN and ML.</p>
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<p>Classification result using SVM based on the features of: (<b>a</b>) DP mode; (<b>b</b>) π/4 mode; (<b>c</b>) π/2 mode; (<b>d</b>) <math display="inline"> <semantics> <mrow> <msubsup> <mi>S</mi> <mrow> <mi>V</mi> <mi>V</mi> </mrow> <mn>2</mn> </msubsup> </mrow> </semantics> </math>.</p>
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<p>Classification results using SVM based on feature dimension reduction methods.</p>
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2708 KiB  
Article
Recognition Algorithm Based on Improved FCM and Rough Sets for Meibomian Gland Morphology
by Fengmei Liang, Yajun Xu, Weixin Li, Xiaoling Ning, Xueou Liu and Ajian Liu
Appl. Sci. 2017, 7(2), 192; https://doi.org/10.3390/app7020192 - 16 Feb 2017
Cited by 12 | Viewed by 4819
Abstract
To overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classification accuracy, and greatly reduced the amount [...] Read more.
To overcome the limitation of artificial judgment of meibomian gland morphology, we proposed a solution based on an improved fuzzy c-means (FCM) algorithm and rough sets theory. The rough sets reduced the redundant attributes while ensuring classification accuracy, and greatly reduced the amount of computation to achieve information dimension compression and knowledge system simplification. However, before this reduction, data must be discretized, and this process causes some degree of information loss. Therefore, to maintain the integrity of the information, we used the improved FCM to make attributes fuzzy instead of discrete before continuing with attribute reduction, and thus, the implicit knowledge and decision rules were more accurate. Our algorithm overcame the defects of the traditional FCM algorithm, which is sensitive to outliers and easily falls into local optima. Our experimental results show that the proposed method improved recognition efficiency without degrading recognition accuracy, which was as high as 97.5%. Furthermore, the meibomian gland morphology was diagnosed efficiently, and thus this method can provide practical application values for the recognition of meibomian gland morphology. Full article
(This article belongs to the Special Issue Smart Healthcare)
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<p>Schematic diagram of the upper approximation and lower approximation.</p>
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<p>The workflow chart of our improved fuzzy c-means (FCM) algorithm.</p>
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<p>Comparison of clustering effects of two methods, they are listed as: (<b>a</b>) datasets; (<b>b</b>) clustering effect using the traditional FCM algorithm; (<b>c</b>) clustering effect using the improved FCM algorithm.</p>
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<p>Various kinds of meibomian gland images, they are listed as: (<b>a</b>) normal type; (<b>b</b>) shortened type; (<b>c</b>) deletion type; (<b>d</b>) serious deletion type.</p>
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<p>The workflow chart of generating the diagnosis rule table of meibomian gland dysfunction (MGD) using the proposed method.</p>
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<p>The enhanced meibomian gland images, they are listed as: (<b>a</b>) normal type; (<b>b</b>) shortened type; (<b>c</b>) deletion type; (<b>d</b>) serious deletion type.</p>
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<p>Segmented meibomian gland images. (<b>a</b>) Normal type; (<b>b</b>) shortened type; (<b>c</b>) deletion type; (<b>d</b>) serious deletion type.</p>
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<p>The flow chart of attribute reduction using rough sets algorithm.</p>
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<p>Comparison of classification results of the two methods, which are listed as: (<b>a</b>) classification result using the traditional FCM and rough sets (RS); (<b>b</b>) classification result using the improved FCM and rough sets (RS).</p>
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<p>Comparison of classification results of the two methods, which are listed as: (<b>a</b>) classification result using the traditional FCM and rough sets (RS); (<b>b</b>) classification result using the improved FCM and rough sets (RS).</p>
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2782 KiB  
Article
FE Model Updating on an In-Service Self-Anchored Suspension Bridge with Extra-Width Using Hybrid Method
by Zhiyuan Xia, Aiqun Li, Jianhui Li and Maojun Duan
Appl. Sci. 2017, 7(2), 191; https://doi.org/10.3390/app7020191 - 16 Feb 2017
Cited by 10 | Viewed by 4422
Abstract
Nowadays, many more bridges with extra-width have been needed for vehicle throughput. In order to obtain a precise finite element (FE) model of those complex bridge structures, the practical hybrid updating method by integration of Gaussian mutation particle swarm optimization (GMPSO), Kriging meta-model [...] Read more.
Nowadays, many more bridges with extra-width have been needed for vehicle throughput. In order to obtain a precise finite element (FE) model of those complex bridge structures, the practical hybrid updating method by integration of Gaussian mutation particle swarm optimization (GMPSO), Kriging meta-model and Latin hypercube sampling (LHS) was proposed. By demonstrating the efficiency and accuracy of the hybrid method through the model updating of a damaged simply supported beam, the proposed method was applied to the model updating of a self-anchored suspension bridge with extra-width which showed great necessity considering the results of ambient vibration test. The results of bridge model updating showed that both of the mode frequencies and shapes had relatively high agreement between the updated model and experimental structure. The successful model updating of this bridge fills in the blanks of model updating of a complex self-anchored suspension bridge. Moreover, the updating process enables other model updating issues for complex bridge structures Full article
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<p>Gaussian mutation particle swarm optimization (GMPSO) algorithm flowchart.</p>
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<p>Flowchart of proposed hybrid method for model updating.</p>
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<p>A 10 m-span beam structure (unit: cm).</p>
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<p>Description of Hunan Road Bridge: (<b>a</b>) Image of Hunan Road Bridge; (<b>b</b>) Image of Hunan Road Bridge; (<b>c</b>) FE model of Hunan Road Bridge.</p>
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<p>The first five modal shapes of main girder of Hunan Road Bridge from FE model.</p>
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<p>Sensitivity of parameters to frequencies: (<b>a</b>) Sensitivity of material modules to frequencies; (<b>b</b>) Sensitivity of material densities to frequencies; (<b>c</b>) Sensitivity of section characteristics to frequencies; (<b>d</b>) Sensitivity of secondary dead load to frequencies.</p>
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<p>Sensitivity of parameters to frequencies: (<b>a</b>) Sensitivity of material modules to frequencies; (<b>b</b>) Sensitivity of material densities to frequencies; (<b>c</b>) Sensitivity of section characteristics to frequencies; (<b>d</b>) Sensitivity of secondary dead load to frequencies.</p>
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<p>Comparisons of each vibration mode and images of each vibration mode form test: (<b>a</b>) Mode No. 1; (<b>b</b>) Mode No. 2; (<b>c</b>) Mode No. 3; (<b>d</b>) Mode No. 4; (<b>e</b>) Mode No. 5.</p>
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<p>Comparisons of each vibration mode and images of each vibration mode form test: (<b>a</b>) Mode No. 1; (<b>b</b>) Mode No. 2; (<b>c</b>) Mode No. 3; (<b>d</b>) Mode No. 4; (<b>e</b>) Mode No. 5.</p>
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3244 KiB  
Article
Block Recovery Rate-Based Unequal Error Protection for Three-Screen TV
by Hojin Ha and Eun-Seok Ryu
Appl. Sci. 2017, 7(2), 186; https://doi.org/10.3390/app7020186 - 16 Feb 2017
Viewed by 4239
Abstract
This paper describes a three-screen television system using a block recovery rate (BRR)-based unequal error protection (UEP). The proposed in-home wireless network uses scalable video coding (SVC) and UEP with forward error correction (FEC) for maximizing the quality of service (QoS) over error-prone [...] Read more.
This paper describes a three-screen television system using a block recovery rate (BRR)-based unequal error protection (UEP). The proposed in-home wireless network uses scalable video coding (SVC) and UEP with forward error correction (FEC) for maximizing the quality of service (QoS) over error-prone wireless networks. For efficient FEC packet assignment, this paper proposes a simple and efficient performance metric, a BRR which is defined as a recovery rate of temporal and quality layer from FEC assignment by analyzing the hierarchical prediction structure including the current packet loss. It also explains the SVC layer switching scheme according to network conditions such as packet loss rate (PLR) and available bandwidth (ABW). In the experiments conducted, gains in video quality with the proposed UEP scheme vary from 1 to 3 dB in Y-peak signal-to-noise ratio (PSNR) with corresponding subjective video quality improvements. Full article
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<p>Conceptual diagram of three-screen TV using scalable video. VSP, video service provider; FEC, forward error correction; SVC, scalable video coding.</p>
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<p>The layered feature of H.264 SVC.</p>
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<p>Conceptual diagram of H.265 scalable high efficiency video coding (SHVC). EL, enhancement layer; BL, base layer; MUX, multiplexer.</p>
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<p>Two encoding steps of Raptor codes. LT, Luby transform; LDPC, low-density parity-check.</p>
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<p>Unequal error protection with picture priority. PPn, picture priority.</p>
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<p>Prediction structure of <span class="html-italic">R<sub>b</sub></span>(<span class="html-italic">t</span>, <span class="html-italic">q</span>) in the scalable video coding structure.</p>
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<p>Layer importance-based unequal error protection (UEP) method.</p>
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<p><b>V</b>ariations of <span class="html-italic">R<sub>avg</sub></span> according to the total number of FEC packets (<span class="html-italic">T<sub>pkt</sub></span>) in different packet loss rates.</p>
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<p>Distribution of <span class="html-italic">F</span>(<span class="html-italic">t</span>, <span class="html-italic">q</span>) for each temporal (<span class="html-italic">t</span>) and quality layer (<span class="html-italic">q</span>) for different packet loss rates in ‘Foreman’ test sequence (<b>a</b>) <span class="html-italic">Pb</span> = 5%; (<b>b</b>) <span class="html-italic">Pb</span> = 15%.</p>
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<p>Frame-by-frame PSNR Comparisons of BRR-UEP, RD-UEP, and Equal EP under packet loss rates and test sequences. (<b>a</b>) BRR-UEP (34.61dB), RD-UEP (32.55 dB), and Equal EP (28.50 dB) for packet loss rate of 10% in ‘Foreman’; (<b>b</b>) BRR-UEP (30.31 dB), RD-UEP (29.01 dB), and Equal EP (27.06 dB) for packet loss rate of 15% in ‘Mobile’.</p>
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<p>Network topology.</p>
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<p>Reactions and adaptations of the proposed system according to the measured link quality in real moving experimentation. (<b>a</b>) RSSI changes; (<b>b</b>) ABW changes; (<b>c</b>) PLR changes; (<b>d</b>) SVC layer switching; (<b>e</b>) Raptor overhead adaptation; (<b>f</b>) Packet loss recovery.</p>
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4000 KiB  
Article
Self-Tuning Fuzzy Control for Seismic Protection of Smart Base-Isolated Buildings Subjected to Pulse-Type Near-Fault Earthquakes
by Dahai Zhao, Yang Liu and Hongnan Li
Appl. Sci. 2017, 7(2), 185; https://doi.org/10.3390/app7020185 - 16 Feb 2017
Cited by 12 | Viewed by 6414
Abstract
Pulse-type near-fault earthquakes have obvious long-duration pulses, so they can cause large deformation in a base-isolated system in contrast to non-pulse-type near-fault and far-field earthquakes. This paper proposes a novel self-tuning fuzzy logic control strategy for seismic protection of a base-isolated system, which [...] Read more.
Pulse-type near-fault earthquakes have obvious long-duration pulses, so they can cause large deformation in a base-isolated system in contrast to non-pulse-type near-fault and far-field earthquakes. This paper proposes a novel self-tuning fuzzy logic control strategy for seismic protection of a base-isolated system, which can operate the control force of the piezoelectric friction damper against different types of earthquakes. This control strategy employs a hierarchic control algorithm, in which a higher-level supervisory fuzzy controller is implemented to adjust the input normalization factors and output scaling factor, while a sub-level fuzzy controller effectively determines the command voltage of the piezoelectric friction damper according to current level of earthquakes. The efficiency of the proposed control strategy is also compared with uncontrolled and maximum passive cases. Numerical results reveal that the novel fuzzy logic control strategy can effectively reduce the isolation system deformations without the loss of potential advantages of base-isolated system. Full article
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<p>Acceleration and velocity time history curves for different types of earthquakes: (<b>a</b>) fling-step effect; (<b>b</b>) rupture forward directivity; (<b>c</b>) non-pulse-type; and (<b>d</b>) far-field.</p>
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<p>Average acceleration and velocity response spectra for different types of earthquakes: (<b>a</b>) spectra acceleration; and (<b>b</b>) spectra velocity.</p>
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<p>Model of the base-isolated structure.</p>
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<p>Block diagram of the self-tuning fuzzy control strategy.</p>
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<p>Input and output membership functions for sub-level fuzzy controller: (<b>a</b>) input normalized displacement; (b) input normalized velocity; and (<b>c</b>) output voltage.</p>
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<p>Fuzzy control surface for sub-level FLC.</p>
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<p>Input and output membership functions for supervisory FLC: (<b>a</b>) input seismic acceleration; (<b>b</b>) input seismic velocity; (<b>c</b>) output displacement normalization factor; (<b>d</b>) output velocity normalization factor; and (<b>e</b>) output voltage scaling factor.</p>
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<p>Average peak inter-story drift and floor acceleration of controlled base-isolated structure subjected to earthquakes: (<b>a</b>) average peak inter-story drift; and (<b>b</b>) average peak floor acceleration.</p>
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<p>Peak base displacement of controlled base-isolated structure subjected to earthquakes.</p>
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<p>Performance indices <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>3</mn> </msub> </mrow> </semantics> </math> and <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>7</mn> </msub> </mrow> </semantics> </math> for different control cases under various types of earthquakes: (<b>a</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>3</mn> </msub> </mrow> </semantics> </math> ; and (<b>b</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>7</mn> </msub> </mrow> </semantics> </math> .</p>
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<p>Performance indices <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>5</mn> </msub> </mrow> </semantics> </math> and <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>8</mn> </msub> </mrow> </semantics> </math> for different control cases under various types of earthquakes: (<b>a</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>5</mn> </msub> </mrow> </semantics> </math>; and (<b>b</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>8</mn> </msub> </mrow> </semantics> </math>.</p>
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<p>Performance indices <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>5</mn> </msub> </mrow> </semantics> </math> and <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>8</mn> </msub> </mrow> </semantics> </math> for different control cases under various types of earthquakes: (<b>a</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>5</mn> </msub> </mrow> </semantics> </math>; and (<b>b</b>) Performance index <math display="inline"> <semantics> <mrow> <msub> <mi>J</mi> <mn>8</mn> </msub> </mrow> </semantics> </math>.</p>
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<p>Average inter-story drifts with four types of earthquakes: (<b>a</b>) near-fault earthquakes with fling effect; (<b>b</b>) near-fault earthquakes with rupture forward directivity; (<b>c</b>) near-fault earthquakes without pulse-effect; and (<b>d</b>) far-field earthquakes.</p>
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<p>Time history of command voltage, damper force and force–displacement diagram of PFD under four earthquakes: (<b>a</b>) TCU068-NS record for Chi-Chi earthquake; (<b>b</b>) WPI-316 record for Northridge earthquake; (<b>c</b>) TCU071-EW record for Chi-Chi earthquake; and (<b>d</b>) No.095-S69E record for Taft earthquake.</p>
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<p>Energy time histories for a base-isolated structure controlled by SHFLC subjected to four types of earthquakes: (<b>a</b>) TCU068-NS record of Chi-Chi earthquake; (<b>b</b>) WPI-316 record of Northridge earthquake; (<b>c</b>) TCU071-EW record of Chi-Chi earthquake; and (<b>d</b>) No.095-S69E record of Taft earthquake.</p>
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1363 KiB  
Article
Design and Cooling Performances of an Air Conditioning System with Two Parallel Refrigeration Cycles for a Special Purpose Vehicle
by Moo-Yeon
Appl. Sci. 2017, 7(2), 190; https://doi.org/10.3390/app7020190 - 15 Feb 2017
Cited by 3 | Viewed by 8843
Abstract
The objective of this study is to design and briefly investigate the cooling performances of an air conditioning system for a special purpose vehicle under various experimental conditions. An air conditioning system with two parallel refrigeration cycles consisting of two compressors and two [...] Read more.
The objective of this study is to design and briefly investigate the cooling performances of an air conditioning system for a special purpose vehicle under various experimental conditions. An air conditioning system with two parallel refrigeration cycles consisting of two compressors and two condensers for satisfying the required cooling performance of the special purpose vehicle was tested under extremely hot weather conditions and high thermal load conditions and then optimized by varying the refrigerant charge amount. The optimum refrigerant charge amount of the tested air conditioning system was 1200 g with the consideration of the cooling speed and cooling capacity. The indoor temperatures of the suggested air conditioning system at the refrigerant charge amounts of 1200 g, 1400 g, and 1600 g were 24.7 °C, 25.2 °C, and 26.4 °C, respectively, at the elapsed time of 300 s. The cooling time required to reach a 15.0°C inner temperature in the suggested air conditioning system increased by 13.3% with the decrease of the refrigerant charge amount from 1600 g to 1200 g. The cooling capacity and the coefficient of performance (COP) of the suggested air conditioning system increased by 37.9% and 10.9%, respectively, due to a decrease of the refrigerant charge amount from 1600 g to 1200 g. The observed cooling performance characteristics of the air conditioning system with two parallel refrigeration cycles means it could be suitable for cabin cooling of special purpose vehicles. In addition, the designed special air conditioning system with two parallel refrigeration cycles for a special purpose vehicle was built to ensure a sufficient cooling performance for equipped passengers. Full article
(This article belongs to the Section Energy Science and Technology)
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<p>Schematic diagram of the experimental setup.</p>
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<p>Schematic diagrams of the evaporator and condenser parts. (<b>a</b>) One section of the evaporator part; (<b>b</b>) Condenser part.</p>
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<p>Air flow rate of the evaporator fan with fan rotation speeds.</p>
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<p>Cooling speeds of the two parallel refrigeration cycles with the refrigerant charge amount for a special purpose vehicle.</p>
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<p>Cooling capacity and COP of the two parallel refrigeration cycles with the refrigerant charge amount for a special purpose vehicle.</p>
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10162 KiB  
Review
Innovative Hyperspectral Imaging-Based Techniques for Quality Evaluation of Fruits and Vegetables: A Review
by Yuzhen Lu, Yuping Huang and Renfu Lu
Appl. Sci. 2017, 7(2), 189; https://doi.org/10.3390/app7020189 - 15 Feb 2017
Cited by 89 | Viewed by 12726
Abstract
New, non-destructive sensing techniques for fast and more effective quality assessment of fruits and vegetables are needed to meet the ever-increasing consumer demand for better, more consistent and safer food products. Over the past 15 years, hyperspectral imaging has emerged as a new [...] Read more.
New, non-destructive sensing techniques for fast and more effective quality assessment of fruits and vegetables are needed to meet the ever-increasing consumer demand for better, more consistent and safer food products. Over the past 15 years, hyperspectral imaging has emerged as a new generation of sensing technology for non-destructive food quality and safety evaluation, because it integrates the major features of imaging and spectroscopy, thus enabling the acquisition of both spectral and spatial information from an object simultaneously. This paper first provides a brief overview of hyperspectral imaging configurations and common sensing modes used for food quality and safety evaluation. The paper is, however, focused on the three innovative hyperspectral imaging-based techniques or sensing platforms, i.e., spectral scattering, integrated reflectance and transmittance, and spatially-resolved spectroscopy, which have been developed in our laboratory for property and quality evaluation of fruits, vegetables and other food products. The basic principle and instrumentation of each technique are described, followed by the mathematical methods for processing and extracting critical information from the acquired data. Applications of these techniques for property and quality evaluation of fruits and vegetables are then presented. Finally, concluding remarks are given on future research needs to move forward these hyperspectral imaging techniques. Full article
(This article belongs to the Special Issue Applications of Hyperspectral Imaging for Food and Agriculture)
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<p>Four approaches to acquiring a three-dimensional hyperspectral image cube: (<b>a</b>) point scanning, (<b>b</b>) line scanning, (<b>c</b>) area scanning and (<b>d</b>) single shot, where <span class="html-italic">x</span> and <span class="html-italic">y</span> represent the spatial dimensions, while λ is the wavelength.</p>
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<p>Diagrams of a transmission grating-based imaging spectrograph using a prism-grating-prism (PGP) component (<b>a</b>) and a reflection grating-based imaging spectrograph using an Offner configuration (<b>b</b>), where λ<sub>1</sub> and λ<sub>2</sub> represent different wavelengths.</p>
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<p>Three sensing modes commonly used for hyperspectral image acquisition: (<b>a</b>) reflectance, (<b>b</b>) transmittance and (<b>c</b>) interactance.</p>
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<p>Schematic of a spectral imaging system for acquiring scattering images of fruit.</p>
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<p>Schematic of light scattering within fruit resulting from a sharp, focused incident beam.</p>
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<p>Four sensing configurations for scattering measurement: (<b>a</b>) line-scan spectrograph based, (<b>b</b>) common-aperture spectrograph based, (<b>c</b>) liquid-crystal tunable filter (LCTF) based and (<b>d</b>) filter wheel based.</p>
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<p>Schematic of a laser-based multispectral imaging prototype for real-time scattering measurement.</p>
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<p>(<b>a</b>) Typical multispectral and (<b>b</b>) hyperspectral scattering images from apple fruit.</p>
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<p>Procedures for analyzing multispectral and hyperspectral scattering images.</p>
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<p>(<b>a</b>) Schematic of a multispectral scattering image and (<b>b</b>) the corresponding scattering profile obtained by radial averaging at a given wavelength.</p>
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<p>Correction of scattering images for (<b>a</b>) the uneven instrumental responses and (<b>b</b>) the fruit surface curvature.</p>
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<p>Schematic of a hyperspectral imaging prototype integrating reflectance and transmittance sensing modes.</p>
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<p>Schematic of reflectance and transmittance references for in-line light correction.</p>
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<p>Examples of integrated hyperspectral reflectance and transmittance images and their spatial and spectral profiles (left panel: no sample on the conveyor belts; right panel: cucumbers on the conveyor belts): (<b>a</b>) hyperspectral images; (<b>b</b>) spatial profiles corresponding to the horizontal dashed lines (<b>a</b>); (<b>c</b>) spectral profiles corresponding to vertical dashed lines in (<b>a</b>). Reproduced with permission from [<a href="#B82-applsci-07-00189" class="html-bibr">82</a>], Copyright Springer, 2008.</p>
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<p>Typical reflectance (500–675 nm) and transmittance (675–1000 nm) spectra of normal and defective cucumbers. SD in the figure represents the standard deviation. Reproduced with permission from [<a href="#B28-applsci-07-00189" class="html-bibr">28</a>], Copyright Springer, 2008.</p>
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<p>Example of normal (<b>top</b>) and defective (<b>bottom</b>) slices of fresh pickling cucumbers (<b>left</b>) and pickles (<b>right</b>). Reproduced with permission from [<a href="#B84-applsci-07-00189" class="html-bibr">84</a>], Copyright Elsevier, 2010.</p>
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<p>Hyperspectral images of normal and defective pickling cucumbers, where R and T represent reflectance and transmittance, respectively. Reproduced with permission from [<a href="#B87-applsci-07-00189" class="html-bibr">87</a>], Copyright Springer, 2014.</p>
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<p>Examples of pest infestation in pickling cucumbers: (<b>a</b>) normal; (<b>b</b>) slight; (<b>c</b>) mild; and (<b>d</b>) severe infestation. Reproduced with permission from [<a href="#B86-applsci-07-00189" class="html-bibr">86</a>], Copyright Elsevier, 2013.</p>
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<p>Principle of the spatially-resolved technique for optical property measurement.</p>
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<p>(<b>a</b>) Schematic and (<b>b</b>) photo of the hyperspectral imaging-based optical property analyzer (OPA).</p>
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<p>(<b>a</b>) Schematic and (<b>b</b>) photo of the hyperspectral imaging-based optical property analyzer (OPA).</p>
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<p>(<b>a</b>) A hyperspectral scattering image of a peach sample; (<b>b</b>) a reflectance spectrum corresponding to the vertical line in (<b>a</b>); and (<b>c</b>) a spatially-resolved reflectance profile corresponding to the horizontal line (<b>a</b>).</p>
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<p>Absorption (<b>left</b>) and reduced scattering coefficient (<b>right</b>) spectra for apple, peach and tomato samples. Reproduced with permission from [<a href="#B92-applsci-07-00189" class="html-bibr">92</a>], Copyright Springer, 2015.</p>
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<p>Mean spectra of (<b>a</b>) <math display="inline"> <semantics> <mrow> <msub> <mi>μ</mi> <mi mathvariant="normal">a</mi> </msub> </mrow> </semantics> </math> and (<b>b</b>) <math display="inline"> <semantics> <mrow> <msubsup> <mi>μ</mi> <mi mathvariant="normal">s</mi> <mo>′</mo> </msubsup> </mrow> </semantics> </math> of 50 normal and defective ‘Journey’ pickling cucumbers measured at different times after mechanical damage (1 h and 1 day). Reproduced with permission from [<a href="#B91-applsci-07-00189" class="html-bibr">91</a>], Copyright Springer, 2011.</p>
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<p>(<b>a</b>,<b>c</b>) Prediction of firmness and (<b>b</b>,<b>d</b>) soluble solids content (SSC) using the best combinations of <math display="inline"> <semantics> <mrow> <msub> <mi>μ</mi> <mi mathvariant="normal">a</mi> </msub> </mrow> </semantics> </math> and <math display="inline"> <semantics> <mrow> <msubsup> <mi>μ</mi> <mi mathvariant="normal">s</mi> <mo>′</mo> </msubsup> </mrow> </semantics> </math> for the pooled set of ‘Golden Delicious’ (GD) and ‘Delicious’ (DL) apples.</p>
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1821 KiB  
Article
Strain Transfer Analysis of a Clamped Fiber Bragg Grating Sensor
by Li Sun, Chuang Li, Jun Li, Chunwei Zhang and Xiaosu Ding
Appl. Sci. 2017, 7(2), 188; https://doi.org/10.3390/app7020188 - 15 Feb 2017
Cited by 39 | Viewed by 4880
Abstract
Clamped fiber Bragg grating (FBG) sensors have been widely applied in engineering strain measurements due to their advantages of high flexibility and efficiency. However, due to the existence of the interlayer, the strain measured by the encapsulated FBG sensor is not equal to [...] Read more.
Clamped fiber Bragg grating (FBG) sensors have been widely applied in engineering strain measurements due to their advantages of high flexibility and efficiency. However, due to the existence of the interlayer, the strain measured by the encapsulated FBG sensor is not equal to the strain of the host material, which causes strain measurement errors. In this paper, the strain transfer analysis of a clamped FBG sensor based on the shear-lag theory is conducted to improve the accuracy of strain measurements. A novel theoretical model for the axial strain distribution of a clamped FBG sensor is proposed. It is also discussed how the gauge ratio and interlayer thickness affect the strain transfer rate. The accuracy of the proposed theoretical model is verified by experimental tensile tests. The theoretical value of the strain transfer rate matches well with the tested value. Full article
(This article belongs to the Special Issue Structural Health Monitoring (SHM) of Civil Structures)
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<p>Mechanical model of clamped fiber Bragg grating (FBG).</p>
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<p>Mechanical model of <span class="html-italic">m</span>-segment micro unit.</p>
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<p>Mechanical model of interlayer micro unit.</p>
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<p>The axial distribution of FBG strain transfer rate.</p>
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<p>Gauge ratio-FBG strain transfer rate.</p>
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<p>Interlayer thickness vs. strain transfer rate of a clamped FBG sensor.</p>
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<p>Bare FBG sensor.</p>
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<p>Matrix material.</p>
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<p>Calibration curve from tests on a clamped FBG sensor.</p>
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<p>Calibration curve from tests on a bare FBG sensor.</p>
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2325 KiB  
Article
Subcritical Water Extraction of Ursolic Acid from Hedyotis diffusa
by Shangzhen Xiao, Xingjun Xi, Fei Tang, Juan Dai, Jing Liu, Jiandu Lei and Luying Wang
Appl. Sci. 2017, 7(2), 187; https://doi.org/10.3390/app7020187 - 15 Feb 2017
Cited by 10 | Viewed by 6283
Abstract
An efficient and environmental-friendly extraction method has been developed for extraction of ursolic acid (UA) from Hedyotis diffusa by using subcritical water extraction (SWE). The experiments were carried out at different particle sizes (20–100 mesh), extraction temperature (120–200 °C), extraction time (10–50 min), [...] Read more.
An efficient and environmental-friendly extraction method has been developed for extraction of ursolic acid (UA) from Hedyotis diffusa by using subcritical water extraction (SWE). The experiments were carried out at different particle sizes (20–100 mesh), extraction temperature (120–200 °C), extraction time (10–50 min), solvent/solid ratio (20–40 mL/g), and extraction pressure (0.6–3.0 MPa). Response surface methodology (RSM) was employed to optimize SWE conditions, and the maximum UA yield was 6.45 mg/g material. Optimal conditions are as follows: Particle size of 80 mesh, extraction temperature at 157 °C and a solvent/solid ratio of 30 mL/g. The model of experimental response was proved to predict the experimental results very well and demonstrated that UA yield was mainly depended on solvent/solid ratio, followed by particle size and temperature. The purified extract was analyzed by electrospray ionization time-of-flight mass spectrometry (ESI-TOF-MS). The acquired precursor ion was m/z 455.3532, which is consistent with calculated value of UA. Furthermore, different extraction methods, including maceration extraction, heat reflux extraction, ultrasonic extraction, microwave-assisted extraction, and SWE were comparatively analyzed, which indicated that SWE was a time-saving, cost-saving and environment-friendly extraction technology for extraction of UA from Hedyotis diffusa. Full article
(This article belongs to the Section Chemical and Molecular Sciences)
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<p>Schematic diagram of subcritical water extraction apparatus. IR: impounding reservoir; PG: pressure gauge; H: preheater; BR: batch reactor; T: thermocouple.</p>
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<p>Effects of different parameters on extreaction yield of ursolic acid ((<b>A</b>): particle size; (<b>B</b>): extraction temperature; (<b>C</b>): extraction time; (<b>D</b>): solvent/solid ratio; (<b>E</b>): extraction pressure).</p>
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<p>The 2D contour plots and the 3D response surface plots of UA yield (mg/g material) affected by the varying particle size and temperature (<b>A</b>); the varying particle size and solvent/solid ratio (<b>B</b>); the varying temperature and solvent/solid ratio (<b>C</b>).</p>
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<p>The normal probility plot of residuals (<b>A</b>); plot of internally studentized residuals versus experimental runs (<b>B</b>) and plot of predicted and actual values (<b>C</b>).</p>
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<p>The high performance liquid chromatography (HPLC) chromatograms of the <span class="html-italic">Hedyotis diffusa</span> extract obtained using subcritical water extraction (<b>A</b>) and mass spectra of ursolic acid (<b>B</b>).</p>
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770 KiB  
Article
Calculation of Receiver Sensitivities in (Orthogonal) Subcarrier Multiplexing Microwave-Optical Links
by Fernando A. Gutiérrez, Eamonn P. Martin, Philip Perry, Andrew D. Ellis and Liam P. Barry
Appl. Sci. 2017, 7(2), 184; https://doi.org/10.3390/app7020184 - 15 Feb 2017
Cited by 1 | Viewed by 4486
Abstract
Microwave-based all-analogue (orthogonal) subcarrier multiplexing (SCM) permits a direct processing of baseband data at Gbit/s while achieving low power consumption, low latency, low cost, and tolerance to dispersion. A key figure of merit in any SCM link is the sensitivity in the receiver, [...] Read more.
Microwave-based all-analogue (orthogonal) subcarrier multiplexing (SCM) permits a direct processing of baseband data at Gbit/s while achieving low power consumption, low latency, low cost, and tolerance to dispersion. A key figure of merit in any SCM link is the sensitivity in the receiver, which depends on the transmitter, the link and the receiver. By analysing the impact of the nonlinearities of an optical IQ modulator in the presence of optical noise, sensitivities are mathematically estimated as a function of the optical modulation index (OMI) at the transmitter. The results are verified with simulations achieving a good agreement with the mathematical model. The theoretical model provided can be employed as a tool to predict the best achievable sensitivities and the optimum OMI in broadband SCM and orthogonal SCM links. Full article
(This article belongs to the Special Issue Optical Modulators and Switches)
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<p>(<b>a</b>) Direct Detection (DD) electro-optical scheme compatible with subcarrier multiplexing (SCM)/single side band (SSB) and orthogonal subcarrier multiplexing (OSCM)/SSB transmission based on optical IQ modulator and pre-amplified optical receiver; (<b>b</b>) example of transmitted optical spectrum for the case of SCM/SSB consisting of three 2.7 Gbaud quadrature phase shift keying (QPSK) subchannels; (<b>c</b>) example of transmitted optical spectrum for the case of OSCM/SSB consisting of three orthogonally overlapping 2.7 Gbaud QPSK subchannels.</p>
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<p>Simulated and theoretical best achievable optical receiver sensitivities for (<b>a</b>) the SCM/SSB frequency plan consisting of three 2.7 Gbaud QPSK subchannels and (<b>b</b>) the OSCM/SSB frequency plan consisting of three orthogonally overlapping 2.7 Gbaud QPSK subchannels. The values employed in the simulation and the theoretical calculations are: <span class="html-italic">N</span> = 3, <span class="html-italic">F</span> = 5 dB, <span class="html-italic">v</span> = 193.4 THz (1550 nm), <span class="html-italic">Q<sub>F</sub></span> = 2.67 (BER = 3.8 × 10<sup>−3</sup>), <span class="html-italic">B</span> = 2.7 GHz, and intermodulation product count according to <a href="#applsci-07-00184-t001" class="html-table">Table 1</a>.</p>
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3855 KiB  
Article
Towards a Hybrid Approach to Context Reasoning for Underwater Robots
by Xin Li, José-Fernán Martínez and Gregorio Rubio
Appl. Sci. 2017, 7(2), 183; https://doi.org/10.3390/app7020183 - 15 Feb 2017
Cited by 19 | Viewed by 5460
Abstract
Ontologies have been widely used to facilitate semantic interoperability and serve as a common information model in many applications or domains. The Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, aiming to facilitate coordination and cooperation between heterogeneous underwater vehicles, also [...] Read more.
Ontologies have been widely used to facilitate semantic interoperability and serve as a common information model in many applications or domains. The Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) project, aiming to facilitate coordination and cooperation between heterogeneous underwater vehicles, also adopts ontologies to formalize information that is necessarily exchanged between vehicles. However, how to derive more useful contexts based on ontologies still remains a challenge. In particular, the extreme nature of the underwater environment introduces uncertainties in context data, thus imposing more difficulties in context reasoning. None of the existing context reasoning methods could individually deal with all intricacies in the underwater robot field. To this end, this paper presents the first proposal applying a hybrid context reasoning mechanism that includes ontological, rule-based, and Multi-Entity Bayesian Network (MEBN) reasoning methods to reason about contexts and their uncertainties in the underwater robot field. The theoretical foundation of applying this reasoning mechanism in underwater robots is given by a case study on the oil spill monitoring. The simulated reasoning results are useful for further decision-making by operators or robots and they show that the consolidation of different reasoning methods is a promising approach for context reasoning in underwater robots. Full article
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Graphical abstract

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<p>The lifecycle of context awareness.</p>
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<p>Overview of the proposed context-aware framework.</p>
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<p>The structure of the Smart and Networking Underwater Robots in Cooperation Meshes (SWARMs) ontology.</p>
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<p>The hybrid context reasoning method for the context reasoner component.</p>
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<p>Application ontology extensions for representing the scenario.</p>
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<p>The Multi-Entity Bayesian Network (MEBN) model to reason about the severity level of spills.</p>
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<p>The local probability distribution of SpreadSpeed.</p>
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<p>Ontology annotation of SpreadSpeed local probability distribution.</p>
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<p>Findings in the scenario.</p>
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<p>Situation-Specific Bayesian Network (SSBN) generated for the scenario with complete findings.</p>
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<p>SSBN generated for the scenario with incomplete findings.</p>
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5794 KiB  
Article
Improving Liquid Entry Pressure of Polyvinylidene Fluoride (PVDF) Membranes by Exploiting the Role of Fabrication Parameters in Vapor-Induced Phase Separation VIPS and Non-Solvent-Induced Phase Separation (NIPS) Processes
by Faisal Abdulla AlMarzooqi, Muhammad Roil Bilad and Hassan Ali Arafat
Appl. Sci. 2017, 7(2), 181; https://doi.org/10.3390/app7020181 - 14 Feb 2017
Cited by 57 | Viewed by 10738
Abstract
Polyvinylidene fluoride (PVDF) is a popular polymer material for making membranes for several applications, including membrane distillation (MD), via the phase inversion process. Non-solvent-induced phase separation (NIPS) and vapor-induced phase separation (VIPS) are applied to achieve a porous PVDF membrane with low mass-transfer [...] Read more.
Polyvinylidene fluoride (PVDF) is a popular polymer material for making membranes for several applications, including membrane distillation (MD), via the phase inversion process. Non-solvent-induced phase separation (NIPS) and vapor-induced phase separation (VIPS) are applied to achieve a porous PVDF membrane with low mass-transfer resistance and high contact angle (hydrophobicity). In this work, firstly, the impacts of several preparation parameters on membrane properties using VIPS and NIPS were studied. Then, the performance of the selected membrane was assessed in a lab-scale direct-contact MD (DCMD) unit. The parametric study shows that decreasing PVDF concentration while increasing both relative humidity (RH) and exposure time increased the contact angle and bubble-point pore size (BP). Those trends were investigated further by varying the casting thickness. At higher casting thicknesses and longer exposure time (up to 7.5 min), contact angle (CA) increased but BP significantly decreased. The latter showed a dominant trend leading to liquid entry pressure (LEP) increase with thickness. Full article
(This article belongs to the Special Issue Membrane Distillation)
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<p>Top surface scanning electron microscope (SEM) images of membranes prepared using NIPS (non-solvent-induced phase separation) and VIPS (vapor-induced phase separation) processes with 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF (Polyvinylidene fluoride) concentration and cast thickness of 500 µm (10 µm and 2 µm scale bares for all top and bottom row SEM images, respectively).</p>
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<p>A three-component phase diagram for the polymer, solvent and non-solvent system generally depicting the VIPS and NIPS processes. Path A and D represent delayed (VIPS) and spontaneous (NIPS) de-mixing, respectively. Paths B and C represent an initial VIPS process followed by a NIPS. <span class="html-fig-inline" id="applsci-07-00181-i002"> <img alt="Applsci 07 00181 i002" src="/applsci/applsci-07-00181/article_deploy/html/images/applsci-07-00181-i002.png"/></span> is initial polymer solution composition and <span class="html-fig-inline" id="applsci-07-00181-i001"> <img alt="Applsci 07 00181 i001" src="/applsci/applsci-07-00181/article_deploy/html/images/applsci-07-00181-i001.png"/></span> is composition of final membrane. DMAC: dimethylacetamide.</p>
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<p>Pore size distributions (PSD) of membranes made via the NIPS (<b>left</b>) and VIPS (<b>right</b>) processes. Casting thickness: 500 μm, polymer solution: 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF.</p>
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<p>Surface SEM images of membrane samples prepared using polymer solutions of different PVDF concentrations (casting thickness: 500 µm, RH: 60%, exposure time: 30 min).</p>
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<p>Surface SEM images of membrane samples prepared under different RH and different exposure times. Casting thickness: 500 μm, polymer solution: 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF.</p>
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<p>Surface SEM images of membrane samples prepared at different exposure times under 60% RH, 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF concentration and 500-μm casting thickness. All images have the same scale bar, shown in the top-right image.</p>
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<p>Impact of exposure time on (<b>A</b>) CA (contact angle); (<b>B</b>) MPS (mean flow pore size) and (<b>C</b>) BP (bubble-point pore size), for membranes prepared under RH of 60% and at casting thickness of 500 μm with 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF concentration.</p>
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<p>Water uptakes from humid atmosphere at different relative humidity (RH) values (37%, 60% and 80%) for membranes prepared using 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF solution at a casting thickness of 500 µm.</p>
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<p>Surface SEM images of PVDF membranes prepared using VIPS process at different casting thicknesses and exposure times, all using 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF polymer solution and under 80% RH.</p>
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<p>Impact of casting thickness on the properties of PVDF membrane prepared using VIPS process, all using 12% <span class="html-italic">w</span>/<span class="html-italic">w</span> PVDF polymer solution and under 80% RH. (<b>A</b>) Contact angle profile; (<b>B</b>) Bubble point profile; (<b>C</b>) LEP profile.</p>
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