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Sensors, Volume 8, Issue 2 (February 2008) – 46 articles , Pages 594-1350

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1941 KiB  
Article
Techno-Economic Analysis of Solar Water Heating Systems inTurkey
by Can Ertekin, Recep Kulcu and Fatih Evrendilek
Sensors 2008, 8(2), 1252-1277; https://doi.org/10.3390/s8021252 - 25 Feb 2008
Cited by 20 | Viewed by 14542
Abstract
In this study, solar water heater was investigated using meteorological and geographical data of 129 sites over Turkey. Three different collector types were compared in terms of absorber material (copper, galvanized sheet and selective absorber). Energy requirement for water heating, collector performances, and [...] Read more.
In this study, solar water heater was investigated using meteorological and geographical data of 129 sites over Turkey. Three different collector types were compared in terms of absorber material (copper, galvanized sheet and selective absorber). Energy requirement for water heating, collector performances, and economical indicators were calculated with formulations using observed data. Results showed that selective absorbers were most appropriate in terms of coverage rate of energy requirement for water-heating all over Turkey. The prices of selective, copper and galvanized absorber type’s heating systems in Turkey were 740.49, 615.69 and 490.89 USD, respectively. While payback periods (PBPs) of the galvanized absorber were lower, net present values (NPVs) of the selective absorber were higher than the rest. Copper absorber type collectors did not appear to be appropriate based on economical indicators. Full article
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<p>Components of solar water heating system.</p>
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<p>Map of energy requirement (kWh year<sup>-1</sup>) for heating water to the desired temperature of 55°C over Turkey based on universal kriging with a grid resolution of 500 m × 500 m.</p>
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<p>Map of coverage rate (%) of energy requirement for water-heating by selective absorber plates over Turkey based on universal kriging with a grid resolution of 500 m × 500 m.</p>
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<p>Map of coverage rate (%) of energy requirement for water-heating by copper absorber plates over Turkey based on universal kriging with a grid resolution of 500 m × 500 m.</p>
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<p>Map of coverage rate (%) of energy requirement for water-heating by galvanized absorber plates over Turkey based on universal kriging with a grid resolution of 500 m × 500 m.</p>
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224 KiB  
Article
Range and Velocity Estimation of Moving Targets Using Multiple Stepped-frequency Pulse Trains
by Gang Li, Huadong Meng, Xiang-Gen Xia and Ying-Ning Peng
Sensors 2008, 8(2), 1343-1350; https://doi.org/10.3390/s8021343 - 22 Feb 2008
Cited by 39 | Viewed by 11141
Abstract
Range and velocity estimation of moving targets using conventional steppedfrequencypulse radar may suffer from the range-Doppler coupling and the phasewrapping. To overcome these problems, this paper presents a new radar waveform namedmultiple stepped-frequency pulse trains and proposes a new algorithm. It is shown [...] Read more.
Range and velocity estimation of moving targets using conventional steppedfrequencypulse radar may suffer from the range-Doppler coupling and the phasewrapping. To overcome these problems, this paper presents a new radar waveform namedmultiple stepped-frequency pulse trains and proposes a new algorithm. It is shown that byusing multiple stepped-frequency pulse trains and the robust phase unwrapping theorem(RPUT), both of the range-Doppler coupling and the phase wrapping can be robustlyresolved, and accordingly, the range and the velocity of a moving target can be accuratelyestimated. Full article
(This article belongs to the Special Issue Aerospace Sensor Systems)
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<p>Multiple stepped-frequency pulse trains with different base carrier frequencies.</p>
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<p>The estimation error of speed <span class="html-italic">v</span> versus various maximal remainder error level <span class="html-italic">τ</span></p>
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<p>The estimation error of range r versus various maximal remainder error level <span class="html-italic">τ</span></p>
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2793 KiB  
Article
The Successive Projection Algorithm (SPA), an Algorithm with a Spatial Constraint for the Automatic Search of Endmembers in Hyperspectral Data
by Jinkai Zhang, Benoit Rivard and D. M. Rogge
Sensors 2008, 8(2), 1321-1342; https://doi.org/10.3390/s8021321 - 22 Feb 2008
Cited by 80 | Viewed by 15339
Abstract
Spectral mixing is a problem inherent to remote sensing data and results in fewimage pixel spectra representing "pure" targets. Linear spectral mixture analysis isdesigned to address this problem and it assumes that the pixel-to-pixel variability in ascene results from varying proportions of spectral [...] Read more.
Spectral mixing is a problem inherent to remote sensing data and results in fewimage pixel spectra representing "pure" targets. Linear spectral mixture analysis isdesigned to address this problem and it assumes that the pixel-to-pixel variability in ascene results from varying proportions of spectral endmembers. In this paper we present adifferent endmember-search algorithm called the Successive Projection Algorithm (SPA).SPA builds on convex geometry and orthogonal projection common to other endmembersearch algorithms by including a constraint on the spatial adjacency of endmembercandidate pixels. Consequently it can reduce the susceptibility to outlier pixels andgenerates realistic endmembers.This is demonstrated using two case studies (AVIRISCuprite cube and Probe-1 imagery for Baffin Island) where image endmembers can bevalidated with ground truth data. The SPA algorithm extracts endmembers fromhyperspectral data without having to reduce the data dimensionality. It uses the spectralangle (alike IEA) and the spatial adjacency of pixels in the image to constrain the selectionof candidate pixels representing an endmember. We designed SPA based on theobservation that many targets have spatial continuity (e.g. bedrock lithologies) in imageryand thus a spatial constraint would be beneficial in the endmember search. An additionalproduct of the SPA is data describing the change of the simplex volume ratio between successive iterations during the endmember extraction. It illustrates the influence of a newendmember on the data structure, and provides information on the convergence of thealgorithm. It can provide a general guideline to constrain the total number of endmembersin a search. Full article
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
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<p>Regional geology of south-western Baffin Island and zoom of local geology of the study area (1:100 000) (modified from St-Onge et al., 1999).</p>
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<p>Probe 1 hyperspectral data of the study area. Circles represent ground locations where field spectra and samples were collected.</p>
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<p>Comparison between SPA endmember and PPI endmember(“true”endmember). The solid lines denotes PPI endmembers.</p>
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<p>Comparison of SPA and SMACC endmembers. a) endmember representatives of the same target (zeolite), b) SMACC endmember capturing noise</p>
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<p>Convergence of SPA for the Cuprite data. The arrow marks the last iteration where the simplex volume ratio for successive iterations exceeds 1.0.</p>
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<p>Endmember spectra for snow, vegetation and lichen. The dashed lines are the SPA-endmembers, and the solid lines are the corresponding closely matched field spectra. The strong water absorption features near 1.4 and 1.9 um were discarded because of low signal.</p>
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<p>Comparison of SPA geological endmembers and field spectra. The strong water absorption features near 1.4 and 1.9 um were discarded because of low signal.</p>
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<p>Comparison between the SPA_11 endmember and field spectrum of peridotite. The circle marks the region where absorption feature is present on the field spectrum of peridotite but absent from the SPA_11.</p>
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<p>The endmember found by IEA but not by SPA. The solid line is a field spectrum for metasediment, the dashed line is the IEA endmember.</p>
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6644 KiB  
Article
Fabrication of Biochips with Micro Fluidic Channels by Micro End-milling and Powder Blasting
by Dae Jin Yun, Tae Il Seo and Dong Sam Park
Sensors 2008, 8(2), 1308-1320; https://doi.org/10.3390/s8021308 - 22 Feb 2008
Cited by 22 | Viewed by 11228
Abstract
For microfabrications of biochips with micro fluidic channels, a large number of microfabrication techniques based on silicon or glass-based Micro-Electro-Mechanical System (MEMS) technologies were proposed in the last decade. In recent years, for low cost and mass production, polymer-based microfabrication techniques by microinjection [...] Read more.
For microfabrications of biochips with micro fluidic channels, a large number of microfabrication techniques based on silicon or glass-based Micro-Electro-Mechanical System (MEMS) technologies were proposed in the last decade. In recent years, for low cost and mass production, polymer-based microfabrication techniques by microinjection molding and micro hot embossing have been proposed. These techniques, which require a proper photoresist, mask, UV light exposure, developing, and electroplating as a preprocess, are considered to have some problems. In this study, we propose a new microfabrication technology which consists of micro end-milling and powder blasting. This technique could be directly applied to fabricate the metal mold without any preprocesses. The metal mold with micro-channels is machined by micro end-milling, and then, burrs generated in the end-milling process are removed by powder blasting. From the experimental results, micro end-milling combined with powder blasting could be applied effectively for fabrication of the injection mold of biochips with micro fluidic channels. Full article
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering)
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<p>Micromachining system.</p>
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<p>Powder blasting machine and machining mechanism.</p>
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<p>Experimental specimen for micro end-milling.</p>
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<p>Protection cover for micro channel set.</p>
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<p>SEM photograph of a micro fluidic channels machined by micro end-milling.</p>
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<p>SEM photograph of micro fluidic channels after deburring.</p>
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<p>Shapes and analysis of micro fluidic channels machined by micro end-milling.</p>
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<p>Micro-fluidic channels after deburring by the powder WA #600, 4 scans.</p>
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<p>Micro-fluidic channels blasted for deburring by the powder WA #1000, 20 scans.</p>
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388 KiB  
Article
Construction of a nrdA::luxCDABE Fusion and Its Use in Escherichia coli as a DNA Damage Biosensor
by Ee Taek Hwang, Joo- Myung Ahn, Byoung Chan Kim and Man Bock Gu
Sensors 2008, 8(2), 1297-1307; https://doi.org/10.3390/s8021297 - 22 Feb 2008
Cited by 18 | Viewed by 11988
Abstract
The promoter of nrdA gene which is related with DNA synthesis was used to construct a DNA damage sensitive biosensor. A recombinant bioluminescent E. coli strain, BBTNrdA, harboring a plasmid with the nrdA promoter fused to the luxCDABE operon, was successfully constructed. Its [...] Read more.
The promoter of nrdA gene which is related with DNA synthesis was used to construct a DNA damage sensitive biosensor. A recombinant bioluminescent E. coli strain, BBTNrdA, harboring a plasmid with the nrdA promoter fused to the luxCDABE operon, was successfully constructed. Its response to various chemicals including genotoxic chemicals substantiates it as a DNA damage biosensor. In characterization, three different classes of toxicants were used: DNA damaging chemicals, oxidative stress chemicals, and phenolics. BBTNrdA only responded strongly to DNA damaging chemicals, such as nalidixic acid (NDA), mitomycin C (MMC), 1-methyl-1-nitroso-N-methylguanidine (MNNG), and 4-nitroquinoline N-oxide (4-NQO). In contrast, there were no responses from the oxidative stress chemicals and phenolics, except from hydrogen peroxide (H2O2) which is known to cause DNA damage indirectly. Therefore, the results of the study demonstrate that BBTNrdA can be used as a DNA damage biosensor. Full article
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<p>Schematic of the proposed biosensor in this study A) plasmid map of BBT<span class="html-italic">NrdA</span> and B) principle of its responses to DNA damaging agents.</p>
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<p>Maximum relative luminescence values seen from strain BBT<span class="html-italic">NrdA</span> after being exposed to different concentration of (A) nalidixic acid (NDA), (B) mitomycin C (MMC), (C) 1-methyl-1-nitroso-N-methylguanidine (MNNG), and (D) 4-nitroquinoline N-oxide (4-NQO).</p>
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<p>Maximum relative luminescence values seen from strain BBT<span class="html-italic">NrdA</span> after being exposed to different concentrations of (A) paraquat, (B) cadmium chloride and (C) hydrogen peroxide.</p>
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<p>Maximum relative luminescence values seen from strain BBT<span class="html-italic">NrdA</span> after exposure to different concentration of (A) phenol, (B) 2-chlorophenol (2-CP), (C) 2,4-dichlorophenol (2,4-DCP) and (D) 2,4,5-trichlorophenol (2,4,5-TCP).</p>
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1159 KiB  
Article
Road Asphalt Pavements Analyzed by Airborne Thermal Remote Sensing: Preliminary Results of the Venice Highway
by Simone Pascucci, Cristiana Bassani, Angelo Palombo, Maurizio Poscolieri and Rosa Cavalli
Sensors 2008, 8(2), 1278-1296; https://doi.org/10.3390/s8021278 - 22 Feb 2008
Cited by 37 | Viewed by 14774
Abstract
This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used airborne multispectral emissivity data covering an urban test area close to Venice (Italy).For this study, we first identify and select the [...] Read more.
This paper describes a fast procedure for evaluating asphalt pavement surface defects using airborne emissivity data. To develop this procedure, we used airborne multispectral emissivity data covering an urban test area close to Venice (Italy).For this study, we first identify and select the roads’ asphalt pavements on Multispectral Infrared Visible Imaging Spectrometer (MIVIS) imagery using a segmentation procedure. Next, since in asphalt pavements the surface defects are strictly related to the decrease of oily components that cause an increase of the abundance of surfacing limestone, the diagnostic absorption emissivity peak at 11.2?m of the limestone was used for retrieving from MIVIS emissivity data the areas exhibiting defects on asphalt pavements surface.The results showed that MIVIS emissivity allows establishing a threshold that points out those asphalt road sites on which a check for a maintenance intervention is required. Therefore, this technique can supply local government authorities an efficient, rapid and repeatable road mapping procedure providing the location of the asphalt pavements to be checked. Full article
(This article belongs to the Special Issue Sensors for Urban Environmental Monitoring)
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<p>(a) MIVIS scene, outlined in black over a regional map; (b) MIVIS imagery acquired over Venice study area (755 columns × 2956 lines).</p>
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<p>Flow diagram indicating the steps followed in the methods.</p>
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<p>Example of an asphalt pavement of the study area with surfacing limestone granules.</p>
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<p>Examples (a) of new and old emissivity spectra of paving asphalt from the JHU spectral library and (b) of limestone band-depth analysis (intervals 9.59-11.94μm): emissivity continuum-removed absorption peak of a pure limestone spectrum (JHU spectral library), both convolved to MIVIS bandpasses in order to show how its occurrence would affect MIVIS detectability.</p>
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<p>Object-oriented classification of MIVIS emissivity image. In yellow are depicted the masked highways and exits, they are overlaid on MIVIS channel 13 only for visualization purposes.</p>
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<p>Estimates of MIVIS SNR in the TIR spectral range calculated on the masked asphalt pavements of the study area.</p>
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<p><b>(a)</b> In yellow are depicted the two test areas, selected for training the band-depth analysis; <b>(b)</b> Image showing the band-depth analysis results: in red are depicted the detected asphalt pavements showing surface defects thus to be checked for maintenance. Both images are overlaid on MIVIS channel 13 only for visualization purposes.</p>
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<p>Images showing an example of asphalt pavements with different surface defects within the study area. Image (b) shows MIVIS emissivity BD classification results. Both images are overlaid on MIVIS channel 13 only for visualization purposes.</p>
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2044 KiB  
Article
Application of GeoWEPP for Determining Sediment Yield and Runoff in the Orcan Creek Watershed in Kahramanmaras, Turkey
by Alaaddin Yüksel, Abdullah E. Akay, Recep Gundogan, Mahmut Reis and Muzaffer Cetiner
Sensors 2008, 8(2), 1222-1236; https://doi.org/10.3390/s8021222 - 22 Feb 2008
Cited by 33 | Viewed by 12606
Abstract
The geo-spatial interface of the WEPP model called GeoWEPP uses digital geo-referenced information integrated with the most common GIS tools to predict sedimentyield and runoff. The model determines where and when the sediment yield and runoffoccurs and locates possible deposition places. In this [...] Read more.
The geo-spatial interface of the WEPP model called GeoWEPP uses digital geo-referenced information integrated with the most common GIS tools to predict sedimentyield and runoff. The model determines where and when the sediment yield and runoffoccurs and locates possible deposition places. In this study, the sediment yield and runofffrom Orcan Creek watershed in Kahramanmaras region was estimated by using GeoWEPPmodel. To investigate the performance of the model, the sediment yield and runoff resultsfrom the GeoWEPP model were compared with the observed monthly data collected fromthe sample watershed. The average Root Mean Square Errors (RMSE) between observedand predicted average annual sediment yield and runoff were 2.96 and 8.43, respectively.The index of agreement was 0.98 and 0.99 for sediment yield and runoff, respectively,which indicated that the model predictions provided good results. Full article
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<p>Logic flowchart of the GeoWEPP.</p>
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<p>The flow accumulation for sub-watersheds by using TOPAZ.</p>
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<p>DEM image generated in ArcView.</p>
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<p>Climate file generated based on a PAR file.</p>
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<p>The interaction between soil map layer in GeoWEPP (a), soilsmap.txt (b), and WEPP/TOPAZ Translator (c).</p>
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<p>The interaction between land cover layer in GeoWEPP (a), landcov.txt (b), and WEPP/TOPAZ Translator (c).</p>
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<p>The location of the study area on topographic map of Turkey.</p>
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<p>GeoWEPP generated annual soil loss map for Orcan Creek Watershed.</p>
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<p>Regression between predicted and observed (a) sediment yield (b) runoff.</p>
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4388 KiB  
Review
Imaging In Mice With Fluorescent Proteins: From Macro To Subcellular
by Robert M. Hoffman
Sensors 2008, 8(2), 1157-1173; https://doi.org/10.3390/s8021157 - 22 Feb 2008
Cited by 19 | Viewed by 15204
Abstract
Whole-body imaging with fluorescent proteins has been shown to be a powerfultechnology with many applications in small animals. Brighter, red-shifted proteins can makewhole-body imaging even more sensitive due to reduced absorption by tissues and less scatter.For example, a new protein called Katushka has [...] Read more.
Whole-body imaging with fluorescent proteins has been shown to be a powerfultechnology with many applications in small animals. Brighter, red-shifted proteins can makewhole-body imaging even more sensitive due to reduced absorption by tissues and less scatter.For example, a new protein called Katushka has been isolated that is the brightest known proteinwith emission at wavelengths longer than 620 nm. This new protein offers potential for non-invasive whole-body macro imaging such as of tumor growth. For subcellular imaging, toobserve cytoplasmic and nuclear dynamics in the living mouse, cancer cells were labeled in thenucleus with green fluorescent protein and with red fluorescent protein in the cytoplasm. Thenuclear and cytoplasmic behavior of cancer cells in real time in blood vessels was imaged as theytrafficked by various means or adhered to the vessel surface in the abdominal skin flap. Duringextravasation, real-time dual-color imaging showed that cytoplasmic processes of the cancer cellsexited the vessels first, with nuclei following along the cytoplasmic projections. Both cytoplasmand nuclei underwent deformation during extravasation. Cancer cells trafficking in lymphaticvessels was also imaged. To noninvasively image cancer cell/stromal cell interaction in the tumormicroenvironment as well as drug response at the cellular level in live animals in real time, wedeveloped a new imageable three-color animal model. The model consists of GFP-expressingmice transplanted with the dual-color cancer cells. With the dual-color cancer cells and a highlysensitive small animal imaging system, subcellular dynamics can now be observed in live mice inreal time. Fluorescent proteins thus enable both macro and micro imaging technology and thereby provide the basis for the new field of in vivo cell biology. Full article
(This article belongs to the Special Issue Bioanalysis in Vivo/in Vitro)
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<p><b>A</b>, External and <b>B</b>, open images of a single, representative, control mouse at autopsy on day 17 after surgical orthotopic implantation (SOI). Extensive locoregional and metastatic growth is visualized by selectively exciting DsRed2-expressed in the tumors. A strong correlation between the fluorescence visualized externally and that obtained after laparotomy is evident, despite the presence of intra-abdominal ascites. <b>C</b>, Red fluorescent area quantified using external fluorescence imaging correlated strongly with tumor volume measured directly. At autopsy, measurement of externally visualized fluorescent area and direct measurements of the primary tumor of each mouse were obtained. Significant correlation (<span class="html-italic">r</span> 0.89, <span class="html-italic">P</span> 0.05) was observed between these values [<a href="#b6-sensors-08-01157" class="html-bibr">6</a>].</p>
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<p>GFP- and RFP-expressing brain tumors implanted in the brain in a single nude mouse. The excitation light was produced with a simple blue-LED flashlight equipped with an excitation filter with a central peak of 470 nm. The image was acquired with a Hamamatsu charge-coupled device (CCD) camera [<a href="#b4-sensors-08-01157" class="html-bibr">4</a>].</p>
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<p>Mouse mammary tumor (MMT) cells were initially transduced with RFP and the neomycin resistance gene. The cells were subsequently transduced with histone H2B-GFP and the hygromycin resistance gene. Double transformants were selected with G418 and hygromycin, and stable clones were established. Bar = 50 μm [<a href="#b31-sensors-08-01157" class="html-bibr">31</a>].</p>
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<p>MMT-GFP-RFP cells were injected in the footpad of GFP transgenic nude mice. <b>A</b>, Whole-body image of untreated MMT-GFP-RFP cells in the footpad of a live GFP mouse. Note the numerous spindle-shaped MMT-GFP-RFP cancer cells interdispersed among the GFP host cells. <b>B</b>, Whole-body image of MMT-GFP-RFP cancer cells in a live GFP nude mouse 12 h after treatment with doxorubicin (10 mg/kg). The cancer cells lost their spindle shape, and the nuclei appear contracted. <b>C</b>, Whole-body image of MMT-GFP-RFP tumor. Numerous spindle-shaped MMT-GFP-RFP cells interacted with GFP-expressing host cells. Well-developed tumor blood vessels and real-time blood flow were visualized by whole-body imaging (arrows). <b>D</b>, In vivo drug response of MMT-GFP-RFP cancer cells and GFP stromal cells 12 h after i.v. injection of 10 mg/kg doxorubicin. All of the visible MMT-GFP-RFP cells lost their spindle shape. Many of the cancer cells fragmented (arrows). Tumor blood vessels were damaged (dashed black lines), and the number of cancer cells was dramatically reduced 12 h after chemotherapy. Bar = 20 μm [<a href="#b10-sensors-08-01157" class="html-bibr">10</a>].</p>
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<p>Transgenic mice ubiquitously-expressing GFP [<a href="#b33-sensors-08-01157" class="html-bibr">33</a>] or RFP [<a href="#b34-sensors-08-01157" class="html-bibr">34</a>] were originally developed. These mice were crossed on to the nude background [<a href="#b35-sensors-08-01157" class="html-bibr">35</a>].</p>
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<p><b>A</b>, Nondeformed cells are within a microvessel. The cells in the microvessel are round and the nuclei oval. The cells occupy the full diameter of the vessel. <b>B</b>, The cells and nuclei are elongated to fit a capillary. <b>C</b>, The cells are arrested at the capillary bifurcation. Because of the difference of the deformability between cytoplasm and nucleus, only the cytoplasm is bifurcated. The nucleus is also deformed but remains intact. <b>D</b>, Cytoplasmic fragmentation in very thin capillary. Bar = 50 μm [<a href="#b27-sensors-08-01157" class="html-bibr">27</a>].</p>
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<p><b>A</b>, Schematic diagram of the skin flap model in live mice for imaging intravascular trafficking and extravasation. An arc-shaped incision was made in the abdominal skin, and then the skin flap was spread and fixed on a flat stand. HT-1080-GFP-RFP cells were injected into the epigastric cranialis vein through a catheter. Immediately after injection, the inside surface of the skin flap was directly observed. <b>B</b>, HT-1080-GFP-RFP cell crawls smoothly along the vessel wall without rolling in a capillary (arrow). The nucleus and cytoplasm are slightly stretched. The nucleus is in the front of the cell while the cell is crawling. When the cell advanced into a part of the capillary where the diameter is smaller than of deformation limit of the cell, the cell could not advance any further. Bar = 100 μm. <b>C</b>, HT-1080-GFP-RFP cell, trafficking at low velocity, advanced between other cells and the vessel wall. The moving cancer cell contacted the other cells (arrow). The cell deformed slightly and continued to move without adhesion. Bar = 100 μm. Right, schematics of (<b>B</b>) and (<b>C</b>). <b>D</b>, One cancer cell migrating in the post capillary with slow velocity. The cytoplasm is at the head of the cell while the cell is moving in a large vein, but the nucleus is at the head in a small vein. The velocity of the cells in (<b>A</b>) and (<b>B</b>) is an average of 24.2 μm/s. The average velocity in cells in (<b>D</b>) and (<b>E</b>), however, is only 6.1 μm/s because the cells are in a narrower vein. Images were taken every 3.30 seconds. Bar = 50 μm. <b>E</b>, Multicellular aggregate collided with another aggregate that was already attached to the vessel wall. The two aggregates attached and formed a larger aggregation. Some cells (arrow) escaped from the aggregate because of weak adhesion and recommenced movement. Images were taken every 1.04 seconds. Bar = 100 μm. Images were acquired in real time with the Olympus OV100. Right, schematics of (<b>B</b>) and (<b>C</b>) [<a href="#b21-sensors-08-01157" class="html-bibr">21</a>].</p>
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<p><b>A</b>, 12 hours after injection dual color MMT cells, the skin flap was opened and fixed on a flat stand. Images were acquired every hour for 24 hours with the skin flap open. Two dual color MMT cancer cells are visualized in the process of extravasation 24 hours after injection (arrows). The cancer cells extended fine cytoplasmic projections into the host tissue at the onset of extravasation. One of the cells extended two fine cytoplasmic projections into the host tissue (arrowhead). The nuclei then migrated along the cytoplasmic projection until the whole cell came out of the vessel. Subsequently, the whole cell extravasated. Bar = 20 μm. <b>B</b>, 48 and 72 hours after injection. Cytoplasmic processes were extended along the vessel wall 48 hours after injection (arrows). Cells extravasated in the same direction of the cytoplasmic projections (broken arrows). Images were acquired every 24 hours by opening and closing the skin flap. Bar = 50 μm. <b>C</b>, Invasion and proliferation of MMT cells around a vessel after extravasation. Bar = 50 μm. Images were acquired with the Olympus OV100. Right, schematics of (<b>A</b>), (<b>B</b>), and (<b>C</b>) [<a href="#b21-sensors-08-01157" class="html-bibr">21</a>].</p>
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<p>A footpad tumor, formed after injection of HT1080-GFP-RFP cells, was stimulated by 25- or 250-g weight for 10 s each to increase the internal pressure of the tumor. Stimulations were conducted on the same mouse with a minimum 5-min interval. A cylindrical weight with a 10-mm diameter was used for the stimulation. After stimulation, video rate imaging visualized cancer cell trafficking in the lymphatic vessel with the Olympus OV100 system at x100 magnification for 1 min. The numbers of cell fragments, single cells, and emboli shed into the lymphatic vessel were counted by reviewing the saved movie files. The major axis of the maximum-size shed embolus in each experiment was also measured. <b>A</b>, No weight stimulation onto the footpad. There are only a few fragmented cells in the lymph duct. <b>B</b>, After a 10-s stimulation with a 25-g weight on the footpad, single cells as well as cell fragments are observed trafficking in the lymph duct. <b>C</b> and <b>D</b>, After a 10-s stimulation with the 250-g weight on the footpad, more cell emboli, single cells, and fragments were shed in the lymph duct. Dual-color cell was useful to distinguish the cell condition. <b>D</b>, A high magnification image of the embolus is also shown. Bar 200 μm [<a href="#b36-sensors-08-01157" class="html-bibr">36</a>].</p>
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4057 KiB  
Article
Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project
by Alaaddin Yüksel, Abdullah E. Akay and Recep Gundogan
Sensors 2008, 8(2), 1237-1251; https://doi.org/10.3390/s8021287 - 21 Feb 2008
Cited by 62 | Viewed by 16609
Abstract
The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER) sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by [...] Read more.
The satellite imagery has been effectively utilized for classifying land covertypes and detecting land cover conditions. The Advanced Spaceborne Thermal Emissionand Reflection Radiometer (ASTER) sensor imagery has been widely used in classificationprocess of land cover. However, atmospheric corrections have to be made by preprocessingsatellite sensor imagery since the electromagnetic radiation signals received by the satellitesensors can be scattered and absorbed by the atmospheric gases and aerosols. In this study,an ASTER sensor imagery, which was converted into top-of-atmosphere reflectance(TOA), was used to classify the land use/cover types, according to COoRdination ofINformation on the Environment (CORINE) land cover nomenclature, for an arearepresenting the heterogonous characteristics of eastern Mediterranean regions inKahramanmaras, Turkey. The results indicated that using the surface reflectance data ofASTER sensor imagery can provide accurate (i.e. overall accuracy and kappa values of83.2% and 0.79, respectively) and low-cost cover mapping as a part of inventory forCORINE Land Cover Project. Full article
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<p>The location of the study area on the topographic map of Turkey and on the ASTER image.</p>
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<p>The flowchart indicating image processing stages.</p>
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<p>Land use/cover classes after supervised classification of the study area.</p>
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<p>Mean pixel value of the ten classes generated by supervised classification.</p>
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<p>The land use/cover map of the study area according to CORINE Land Cover Project.</p>
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437 KiB  
Article
An Auto-Recognizing System for Dice Games Using a Modified Unsupervised Grey Clustering Algorithm
by Kuo-Yi Huang
Sensors 2008, 8(2), 1212-1221; https://doi.org/10.3390/s8021212 - 21 Feb 2008
Cited by 19 | Viewed by 11568
Abstract
In this paper, a novel identification method based on a machine vision system is proposed to recognize the score of dice. The system employs image processing techniques, and the modified unsupervised grey clustering algorithm (MUGCA) to estimate the location of each die and [...] Read more.
In this paper, a novel identification method based on a machine vision system is proposed to recognize the score of dice. The system employs image processing techniques, and the modified unsupervised grey clustering algorithm (MUGCA) to estimate the location of each die and identify the spot number accurately and effectively. The proposed algorithms are substituted for manual recognition. From the experimental results, it is found that this system is excellent due to its good capabilities which include flexibility, high speed, and high accuracy. Full article
(This article belongs to the Special Issue Intelligent Sensors)
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<p>The dice images.</p>
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<p>The steps of <span class="html-italic">MUGCA</span>.</p>
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<p>The steps for recognizing dice.</p>
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<p>The interface of <span class="html-italic">MUGCS</span>.</p>
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<p>A data set and the clustering results.</p>
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<p>The interface of <span class="html-italic">ADRS</span> and the results of classification for six dices.</p>
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<p>Abreast dice.</p>
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<p>The classification results for abreast dices with <span class="html-italic">MUGCA</span>.</p>
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<p>The classification results for the same dices with different acquiring distances: (a) the original image with the longer distance, (b) the original image with the shorter distance, (c) the classification results with the far CCD camera, (d) the classification results with the close CCD camera.</p>
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1431 KiB  
Article
Dependence of Impedance of Embedded Single Cells on Cellular Behaviour
by Sungbo Cho, Marc Castellarnau, Josep Samitier and Hagen Thielecke
Sensors 2008, 8(2), 1198-1211; https://doi.org/10.3390/s8021198 - 21 Feb 2008
Cited by 11 | Viewed by 14572
Abstract
Non-invasive single cell analyses are increasingly required for the medicaldiagnostics of test substances or the development of drugs and therapies on the single celllevel. For the non-invasive characterisation of cells, impedance spectroscopy whichprovides the frequency dependent electrical properties has been used. Recently,microfludic systems [...] Read more.
Non-invasive single cell analyses are increasingly required for the medicaldiagnostics of test substances or the development of drugs and therapies on the single celllevel. For the non-invasive characterisation of cells, impedance spectroscopy whichprovides the frequency dependent electrical properties has been used. Recently,microfludic systems have been investigated to manipulate the single cells and tocharacterise the electrical properties of embedded cells. In this article, the impedance ofpartially embedded single cells dependent on the cellular behaviour was investigated byusing the microcapillary. An analytical equation was derived to relate the impedance ofembedded cells with respect to the morphological and physiological change ofextracellular interface. The capillary system with impedance measurement showed afeasibility to monitor the impedance change of embedded single cells caused bymorphological and physiological change of cell during the addition of DMSO. By fittingthe derived equation to the measured impedance of cell embedded at different negativepressure levels, it was able to extrapolate the equivalent gap and gap conductivity betweenthe cell and capillary wall representing the cellular behaviour. Full article
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<p>Schematic of a single cell with high surface tension of membrane partially embedded in the tip of capillary with length <span class="html-italic">L</span>, thickness <span class="html-italic">t</span>, and inner radius <span class="html-italic">r</span>, <span class="html-italic">g</span>: interfacial equivalent gap between the cell and capillary, <span class="html-italic">l</span><sub>i</sub>: length of cylindrically shaped cell body in the capillary, <span class="html-italic">r</span><sub>i</sub>: polar radius of semi-eccentrically shaped end of cell in the capillary, <span class="html-italic">r</span><sub>o</sub> : radius of spherically shaped cell external to the capillary entrance, <math display="inline"> <semantics id="sm6"> <mrow> <mi>a</mi> <mo>=</mo> <msup> <mrow> <mrow> <mo>{</mo> <mrow> <msubsup> <mi>r</mi> <mi>o</mi> <mn>2</mn></msubsup> <mo>−</mo> <msup> <mi>r</mi> <mn>2</mn></msup></mrow> <mo>}</mo></mrow></mrow> <mrow> <mrow> <mn>1</mn> <mo>/</mo> <mn>2</mn></mrow></mrow></msup></mrow></semantics></math>, <span class="html-italic">θ</span><sub>1</sub> = cos<sup>−1</sup>((<span class="html-italic">r</span> + <span class="html-italic">t</span>)/<span class="html-italic">r</span><sub>o</sub>).</p>
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<p>Schematic of experimental setup for impedance measurement of a single cell at the tip of a capillary.</p>
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<p>Contribution of resistance in the region 3 of <a href="#f1-sensors-08-01198" class="html-fig">Figure 1</a> to the total resistance difference of an embedded cell (<span class="html-italic">R</span><sub>3</sub>/<span class="html-italic">R</span><sub>diff</sub>) at different length of embedded cell <span class="html-italic">l</span><sub>i</sub> with equivalent gap <span class="html-italic">g</span> (<span class="html-italic">t</span> = 1 μm, <span class="html-italic">r</span> = 4 μm, <span class="html-italic">r</span><sub>i</sub> = 2 μm, <span class="html-italic">r</span><sub>o</sub> = 12 μm, <span class="html-italic">σ<sub>m</sub></span>, <span class="html-italic">σ<sub>g</sub></span> = 1.6 S/m) (A) or with gap conductivity <span class="html-italic">σ<sub>g</sub></span> (<span class="html-italic">t</span> = 1 μm, <span class="html-italic">r</span> = 4 μm, <span class="html-italic">r</span><sub>i</sub> = 2 μm, <span class="html-italic">r</span><sub>o</sub> = 12 μm, <span class="html-italic">g</span> = 40 nm, <span class="html-italic">σ<sub>m</sub></span> = 1.6 S/m) (B).</p>
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<p>A: Measured impedance spectra for a L929 cell captured at the tip of capillary and for a capillary without cell, B and C: Change of impedance magnitude (|Z|<sub>capture</sub> − |Z|<sub>non-capture</sub>) at 100 Hz in response on the following events: (a) capture, (b) application of DMSO (100 μl of culture medium with 5% DMSO into 1 ml medium in the dish, (c) cell membrane breakdown, and (d) release, In panel B, the impedance for a latex bead captured at the capillary is shown additionally.</p>
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<p>A: Measured impedance spectra for a L929 cell captured at the tip of capillary and for a capillary without cell, B and C: Change of impedance magnitude (|Z|<sub>capture</sub> − |Z|<sub>non-capture</sub>) at 100 Hz in response on the following events: (a) capture, (b) application of DMSO (100 μl of culture medium with 5% DMSO into 1 ml medium in the dish, (c) cell membrane breakdown, and (d) release, In panel B, the impedance for a latex bead captured at the capillary is shown additionally.</p>
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<p>Micrographs of an embedded cell when the level of negative pressure is 8.3 mbar at 300 s, 11 mbar at 500 s, 15.5 mbar at 700 s, and 21.1 mbar at 900 s (A), the difference of impedance magnitude at 100 Hz during the aspiration (B), arrow: the time of capture.</p>
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<p>Equivalent gap (<span class="html-italic">g</span>) and the ratio of gap conductivity to medium one (<span class="html-italic">σ<sub>g</sub></span>/<span class="html-italic">σ<sub>m</sub></span>) extrapolated by fitting the equation <span class="html-italic">R</span><sub>diff</sub> to the difference of impedance magnitude at 100 Hz of <a href="#f5-sensors-08-01198" class="html-fig">Figure 5</a>.</p>
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1333 KiB  
Article
Temporal Stability of Soil Moisture and Radar Backscatter Observed by the Advanced Synthetic Aperture Radar (ASAR)
by Wolfgang Wagner, Carsten Pathe, Marcela Doubkova, Daniel Sabel, Annett Bartsch, Stefan Hasenauer, Günter Blöschl, Klaus Scipal, José Martínez-Fernández and Alexander Löw
Sensors 2008, 8(2), 1174-1197; https://doi.org/10.3390/s80201174 - 21 Feb 2008
Cited by 129 | Viewed by 17759
Abstract
The high spatio-temporal variability of soil moisture is the result of atmosphericforcing and redistribution processes related to terrain, soil, and vegetation characteristics.Despite this high variability, many field studies have shown that in the temporal domainsoil moisture measured at specific locations is correlated to [...] Read more.
The high spatio-temporal variability of soil moisture is the result of atmosphericforcing and redistribution processes related to terrain, soil, and vegetation characteristics.Despite this high variability, many field studies have shown that in the temporal domainsoil moisture measured at specific locations is correlated to the mean soil moisture contentover an area. Since the measurements taken by Synthetic Aperture Radar (SAR)instruments are very sensitive to soil moisture it is hypothesized that the temporally stablesoil moisture patterns are reflected in the radar backscatter measurements. To verify this hypothesis 73 Wide Swath (WS) images have been acquired by the ENVISAT AdvancedSynthetic Aperture Radar (ASAR) over the REMEDHUS soil moisture network located inthe Duero basin, Spain. It is found that a time-invariant linear relationship is well suited forrelating local scale (pixel) and regional scale (50 km) backscatter. The observed linearmodel coefficients can be estimated by considering the scattering properties of the terrainand vegetation and the soil moisture scaling properties. For both linear model coefficients,the relative error between observed and modelled values is less than 5 % and thecoefficient of determination (R2) is 86 %. The results are of relevance for interpreting anddownscaling coarse resolution soil moisture data retrieved from active (METOP ASCAT)and passive (SMOS, AMSR-E) instruments. Full article
(This article belongs to the Special Issue Synthetic Aperture Radar (SAR))
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<p>Study area. The left map shows the land cover and location of the <span class="html-italic">in-situ</span> soil moisture stations within the REMEDHUS network located in the Duero Basin, Spain. The right map shows a false-colour Landsat image (bands 4, 3, 2) of the area.</p>
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<p>Relative soil moisture measured at 5 cm depth at 20 time domain reflectometry (TDR) stations within the REMEDHUS network and their mean (bold black diamonds) in the period 2003-2005.</p>
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<p>Scatter plots of point versus regional scale soil moisture (5 cm) for three selected stations of the REMEDHUS network.</p>
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<p>Scatter plots of local versus regional scale backscatter for four selected points representative of the land cover classes cropland, herbaceous plants, forest, and urban area.</p>
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<p>Seasonal behaviour of the backscatter scaling coefficient <span class="html-italic">a</span> and <span class="html-italic">b</span> derived from ASAR image time series for a cropland and a forest site. The error bar corresponds to ±2 times the standard error.</p>
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<p>Coefficient of determination R<sup>2</sup> (left) and standard error of estimate (SEE) expressed in decibels (right) of the linear backscatter scaling model. The forest and settlement polygons from the land cover map are overlain over the images for orientation purposes.</p>
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<p>Comparison of observed (left) and modelled (right) backscatter scaling coefficients <span class="html-italic">a</span> (top) and <span class="html-italic">b</span> (bottom). The parameter <span class="html-italic">b</span> is unitless and <span class="html-italic">a</span> is expressed in decibels.</p>
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<p>Sensitivity (left) and dry backscatter reference (right). The unit of both parameters is decibels.</p>
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<p>Scatterplots of observed and modelled backscatter scaling coefficients <span class="html-italic">a</span> (left) and <span class="html-italic">b</span> (right).</p>
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14585 KiB  
Article
Comparison of Remote Sensing Image Processing Techniques to Identify Tornado Damage Areas from Landsat TM Data
by Soe W. Myint, May Yuan, Randall S. Cerveny and Chandra P. Giri
Sensors 2008, 8(2), 1128-1156; https://doi.org/10.3390/s8021128 - 21 Feb 2008
Cited by 57 | Viewed by 14692
Abstract
Remote sensing techniques have been shown effective for large-scale damagesurveys after a hazardous event in both near real-time or post-event analyses. The paperaims to compare accuracy of common imaging processing techniques to detect tornadodamage tracks from Landsat TM data. We employed the direct [...] Read more.
Remote sensing techniques have been shown effective for large-scale damagesurveys after a hazardous event in both near real-time or post-event analyses. The paperaims to compare accuracy of common imaging processing techniques to detect tornadodamage tracks from Landsat TM data. We employed the direct change detection approachusing two sets of images acquired before and after the tornado event to produce a principalcomponent composite images and a set of image difference bands. Techniques in thecomparison include supervised classification, unsupervised classification, and object-oriented classification approach with a nearest neighbor classifier. Accuracy assessment isbased on Kappa coefficient calculated from error matrices which cross tabulate correctlyidentified cells on the TM image and commission and omission errors in the result. Overall,the Object-oriented Approach exhibits the highest degree of accuracy in tornado damagedetection. PCA and Image Differencing methods show comparable outcomes. Whileselected PCs can improve detection accuracy 5 to 10%, the Object-oriented Approachperforms significantly better with 15-20% higher accuracy than the other two techniques. Full article
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<p>(a) Location map of the study area; (b) A false color composite of the study area (June 26, 1998) displaying channel 4 (0.76 - 0.90 μm) in red, channel 3 (0.63 – 0.69 μm) in green, and channel 2 (0.52 – 0.60 μm) in blue.</p>
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<p>A false color composite of the study area (May 12, 1999) displaying channel 4 (0.76 – 0.90 μm) in red, channel 3 (0.63 – 0.69 μm) in green, and channel 2 (0.52 – 0.60 μm) in blue.</p>
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<p>Principal component composite band 1.</p>
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<p>Principal component composite band 2.</p>
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<p>Principal component composite band 3.</p>
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<p>Principal component composite band 4.</p>
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<p>Principal component composite band 5.</p>
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<p>Principal component composite band 6.</p>
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<p>Principal component composite bands 2, 3, and 4.</p>
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1342 KiB  
Article
Integrated Electrochemical Analysis System with Microfluidic and Sensing Functions
by Wataru Satoh, Hiroki Hosono, Hiroomi Yokomaku, Katsuya Morimoto, Sanjay Upadhyay and Hiroaki Suzuki
Sensors 2008, 8(2), 1111-1127; https://doi.org/10.3390/s8021111 - 21 Feb 2008
Cited by 27 | Viewed by 10247
Abstract
An integrated device that carries out the timely transport of solutions andconducts electroanalysis was constructed. The transport of solutions was based oncapillary action in overall hydrophilic flow channels and control by valves that operateon the basis of electrowetting. Electrochemical sensors including glucose, lactate,glutamic [...] Read more.
An integrated device that carries out the timely transport of solutions andconducts electroanalysis was constructed. The transport of solutions was based oncapillary action in overall hydrophilic flow channels and control by valves that operateon the basis of electrowetting. Electrochemical sensors including glucose, lactate,glutamic oxaloacetic transaminase (GOT), glutamic pyruvic transaminase (GPT), pH,ammonia, urea, and creatinine were integrated. An air gap structure was used for theammonia, urea, and creatinine sensors to realize a rapid response. To enhance thetransport of ammonia that existed or was produced by the enzymatic reactions, the pHof the solution was elevated by mixing it with a NaOH solution using a valve based onelectrowetting. The sensors for GOT and GPT used a freeze-dried substrate matrix torealize rapid mixing. The sample solution was transported to required sensing sites atdesired times. The integrated sensors showed distinct responses when a sample solutionreached the respective sensing sites. Linear relationships were observed between theoutput signals and the concentration or the logarithm of the concentration of theanalytes. An interferent, L-ascorbic acid, could be eliminated electrochemically in thesample injection port. Full article
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<p>Integrated chip with microfluidic and sensing functions. (a) Completed chip on a finger. (b) Layout of the flow channels and sensors showing mutual relations. R. E., reference electrode; A. E., auxiliary electrode.</p>
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<p>Switching of the valves at the sample injection port. The upper figures show the area including one of the valves and the injection port. The lower figures show the movement of a fluorescein solution through the valve. (a) Before injecting a solution. (b) A solution is filled in the sample injection port. (c) The solution passes the valve area when the potential is applied to the valve working electrode. W. E., working electrode; R. E., reference electrode; A. E., auxiliary electrode.</p>
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<p>Magnified view of the sensing area for glucose and lactate. (a) Top view. (b) Cross section. W. E., working electrode; R. E., reference electrode; A. E., auxiliary electrode.</p>
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<p>Magnified view of the sensing area for the activity of GOT and GPT. (a) Top view. (b) Cross section. W. E., working electrode; R. E., reference electrode; A. E., auxiliary electrode.</p>
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<p>Magnified view of the sensing area for ammonia, urea, and creatinine. (a) Top view. (b) Cross section. W. E., working electrode electrode.; R. E., reference electrode; A. E., auxiliary.</p>
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<p>Procedure for mixing solutions in the ammonia-, urea-, and creatinine-sensing sites. (a) The electrolyte solution fills the sensing area. (b) A sample solution and a NaOH solution are transported to the mixing area. (c) The two solutions are mixed when the potential is applied to the mixing electrode. (a&amp; prime;) ∼ (c&amp; prime;) show a series of photographs of transports of dyed solutions.</p>
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<p>Control of the solution. (a) The solution passed the straight valve area. (b) The solution stopped effectively at the narrow-valve area.</p>
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<p>Transport of a fluorescein solution in the network of flow channels. (a) Solutions for the ammonia, urea, and creatinine sensors were injected and filled in the sensing area. (b) Another solution was filled in the sample injection port. (c) The solution was transported to the respective sensing areas of ammonia, urea, and creatinine. (d) NaOH solutions were mixed. (e) The solution was transported to the sensing area of GOT and GPT. (f) The solution was filled in the glucose- and lactate-sensing areas.</p>
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<p>Calibration plots. (a) Dependence of the output current on the concentration of glucose ○ and lactate ●. (b) Dependence of the slope of the response curve on the activity of GOT and GPT. □, GOT; ■, GPT. The insets in (a) and (b) show typical response curves to glucose (1 mM; and GOT (100 U/L;.</p>
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209 KiB  
Review
QoS Challenges and Opportunities in Wireless Sensor/Actuator Networks
by Feng Xia
Sensors 2008, 8(2), 1099-1110; https://doi.org/10.3390/s8021099 - 21 Feb 2008
Cited by 193 | Viewed by 14844
Abstract
A wireless sensor/actuator network (WSAN) is a group of sensors and actuators that are geographically distributed and interconnected by wireless networks. Sensors gather information about the state of physical world. Actuators react to this information by performing appropriate actions. WSANs thus enable cyber [...] Read more.
A wireless sensor/actuator network (WSAN) is a group of sensors and actuators that are geographically distributed and interconnected by wireless networks. Sensors gather information about the state of physical world. Actuators react to this information by performing appropriate actions. WSANs thus enable cyber systems to monitor and manipulate the behavior of the physical world. WSANs are growing at a tremendous pace, just like the exploding evolution of Internet. Supporting quality of service (QoS) will be of critical importance for pervasive WSANs that serve as the network infrastructure of diverse applications. To spark new research and development interests in this field, this paper examines and discusses the requirements, critical challenges, and open research issues on QoS management in WSANs. A brief overview of recent progress is given. Full article
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<p>A wireless sensor and actuator network.</p>
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870 KiB  
Article
Improvement of Aptamer Affinity by Dimerization
by Hijiri Hasegawa, Ken-ichi Taira, Koji Sode and Kazunori Ikebukuro
Sensors 2008, 8(2), 1090-1098; https://doi.org/10.3390/s8021090 - 19 Feb 2008
Cited by 143 | Viewed by 15575
Abstract
To increase the affinities of aptamers for their targets, we designed an aptamerdimer for thrombin and VEGF. This design is based on the avidity of the antibody, whichenables the aptamer to connect easily since it is a single-strand nucleic acid. In this study,we [...] Read more.
To increase the affinities of aptamers for their targets, we designed an aptamerdimer for thrombin and VEGF. This design is based on the avidity of the antibody, whichenables the aptamer to connect easily since it is a single-strand nucleic acid. In this study,we connected a 15-mer thrombin-binding aptamer with a 29-mer thrombin-binding aptamer.Each aptamer recognizes a different part of the thrombin molecule, and the aptamer dimerhas a Kd value which is 1/10 of that of the monomers from which it is composed. Also, thedesigned aptamer dimer has higher inhibitory activity than the reported (15-mer) thrombin-inhibiting aptamer. Additionally, we connected together two identical aptamers againstvascular endothelial growth factor (VEGF165), which is a homodimeric protein. As in thecase of the anti-thrombin aptamer, the dimeric anti-VEGF aptamer had a much lower Kd value than that of the monomer. This study demonstrated that the dimerization of aptamerseffectively improves the affinities of those aptamers for their targets. Full article
(This article belongs to the Special Issue Bioanalysis in Vivo/in Vitro)
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<p>The linked thrombin-binding aptamer.</p>
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<p>A sensorgram of the linked aptamer (10-linker), as determined by SPR. Thrombin (30, 50, 100, 150 nM) was injected onto the linked aptamer-immobilized SA chip under running buffer at a flow rate of 20 μl/min.</p>
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<p>The inhibitory activity of the linked aptamer for thrombin. We compared it with the inhibitory activity of the 15-mer thrombin-inhibiting aptamer. After the aptamer (1 μM) and thrombin (54 nM) were incubated for 5 min at 37 °C, we added fibrinogen (2 mg/ml) and measured the clotting time.</p>
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<p>The equilibrium responses are plotted as a function of the aptamer concentration. VEGF<sub>165</sub> was immobilized on a sensor chip and aptamers were injected for the SPR measurement. (A) VEa5, (B) del5-1, (C) VEa5-VEa5, (D) del5-1-del5-1 were assayed.</p>
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5964 KiB  
Article
Integrating Remote Sensing Data with Directional Two- Dimensional Wavelet Analysis and Open Geospatial Techniques for Efficient Disaster Monitoring and Management
by Yun-Bin Lin, Yu-Pin Lin, Dong-Po Deng and Kuan-Wei Chen
Sensors 2008, 8(2), 1070-1089; https://doi.org/10.3390/s8021070 - 19 Feb 2008
Cited by 13 | Viewed by 13442
Abstract
In Taiwan, earthquakes have long been recognized as a major cause oflandslides that are wide spread by floods brought by typhoons followed. Distinguishingbetween landslide spatial patterns in different disturbance regimes is fundamental fordisaster monitoring, management, and land-cover restoration. To circumscribe landslides,this study adopts [...] Read more.
In Taiwan, earthquakes have long been recognized as a major cause oflandslides that are wide spread by floods brought by typhoons followed. Distinguishingbetween landslide spatial patterns in different disturbance regimes is fundamental fordisaster monitoring, management, and land-cover restoration. To circumscribe landslides,this study adopts the normalized difference vegetation index (NDVI), which can bedetermined by simply applying mathematical operations of near-infrared and visible-redspectral data immediately after remotely sensed data is acquired. In real-time disastermonitoring, the NDVI is more effective than using land-cover classifications generatedfrom remotely sensed data as land-cover classification tasks are extremely time consuming.Directional two-dimensional (2D) wavelet analysis has an advantage over traditionalspectrum analysis in that it determines localized variations along a specific direction whenidentifying dominant modes of change, and where those modes are located in multi-temporal remotely sensed images. Open geospatial techniques comprise a series ofsolutions developed based on Open Geospatial Consortium specifications that can beapplied to encode data for interoperability and develop an open geospatial service for sharing data. This study presents a novel approach and framework that uses directional 2Dwavelet analysis of real-time NDVI images to effectively identify landslide patterns andshare resulting patterns via open geospatial techniques. As a case study, this study analyzedNDVI images derived from SPOT HRV images before and after the ChiChi earthquake(7.3 on the Richter scale) that hit the Chenyulan basin in Taiwan, as well as images aftertwo large typhoons (Xangsane and Toraji) to delineate the spatial patterns of landslidescaused by major disturbances. Disturbed spatial patterns of landslides that followed theseevents were successfully delineated using 2D wavelet analysis, and results of patternrecognitions of landslides were distributed simultaneously to other agents using geographymarkup language. Real-time information allows successive platforms (agents) to work withlocal geospatial data for disaster management. Furthermore, the proposed is suitable fordetecting landslides in various regions on continental, regional, and local scales usingremotely sensed data in various resolutions derived from SPOT HRV, IKONOS, andQuickBird multispectral images. Full article
(This article belongs to the Special Issue Sensors for Disaster and Emergency Management Decision Making)
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<p>Characteristics of the directional 2D Morlet wavelet function. (a) Vertical and lateral views of real and image parts of the Morlet wavelet function, while the directional angle is <span class="html-italic">π</span>/4 and the scale factor is one. (b) Fourier transforms of the conjugate of wavelet function with different scale factors and directional angles, where A's scale factor is three and directional angle is <span class="html-italic">π</span>/4 while B's scale factor is 18 and directional angle is −<span class="html-italic">π</span>/4. (c) For a scale factor between four and 42, determination of <a href="#FD7" class="html-disp-formula">Equation (7)</a> is 65536 × (1 ± 0.1%)for a study area composed of 256 × 256 (65536) grid nodes.</p>
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<p>The architecture of system for real time support of decision making</p>
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<p>Geography of the study area.</p>
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<p>Two spatially random point patterns were generated with point densities of (a) 0.025 (1639/65536) and (b) 0.1 (6554/65536). Normalized mean spectrums randomly fluctuate around a value of one in the envelope with a maximum of 2.96 and a minimum of 0.23. The expectation value of normalized mean spectrum for a spatial randomness is one. And the envelope is generated from 100 duplicates of spatially random point patterns.</p>
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<p>(a) Point clumps with different densities were generated in 4 ′A′ regions each with area of 20 × 25 on a random background ′B′ with area of 256 × 256. The background randomness has a point density of 0.025 (1639/65536). Spectrum maps of clumps with (b) 2-fold, (c) 4-fold, (d) 6-fold, (e) 8-fold, and (f) 24-fold point densities relative to the background were used to verify the performance of directional 2D Morlet wavelet analysis in separating true patterns from random fluctuations. The dashed polygons represent shapes and scales of point clumps. For a recognizable pattern, the thick solid line, that represents a normalized mean spectrum of one, is expected to be totally contained in the dashed polygon.</p>
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<p>Belt patterns with different declinations and widths for directional 2D Morlet wavelet analysis in finding dominant scales and angles. (a) The largest normalized mean spectrum is marked in a directional angle perpendicular to the belt declination. (b) Distinguishing belt ′B′ from belt ′A′ by their normalized mean spectrum values can be done only with a scale factor of filtering banks in wavelet analysis larger than clump sizes, e.g. a scale factor of 40.</p>
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<p>Significant differences at a pre-defined location in (a) two patterns denominated as pre- and post-disturbances were assessed by their (b) normalized mean spectrums, where dashed polygons represent shapes and scales of point clumps. (c) Increments of normalized mean spectrums for post-disturbances relative to pre-disturbance patterns were identified by scale factors and directional angles. (d) Localized spectrums determined by setting the filtering bank according to identified scale factors and directional angles were calculated for every node of the post-disturbance pattern. Location of high spectrums (shaded area) in the post-disturbance pattern coincided with the pre-defined location (empty polygon).</p>
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<p>(a) NDVI images at four Stages were assessed by (b) normalized mean spectrums. (c) Significant differences of NDVI variations between stages were identified by scale factors and directional angles. (d) Locations of significant differences between stages were drawn in post-disturbance images. Hill aspects within ±<span class="html-italic">π</span>/4 aligned with typhoon paths were also depicted to verify the orographic effects in typhoons.</p>
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<p>Implements for quick transformations of interoperable and exchangeable disaster information by open geospatial technologies with GML compliant documents that can be (a) transformed into SVG and browsed by a web browser, (b) retrieved by a WFS request, and (c) down-loaded and operated in a user-end application.</p>
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267 KiB  
Article
Influence of Cadmium(II) Ions and Brewery Sludge on Metallothionein Level in Earthworms (Eisenia fetida) – Bio- transforming of Toxic Wastes
by Dalibor Huska, Sona Krizkova, Miroslava Beklova, Ladislav Havel, Josef Zehnalek, Vaclav Diopan, Vojtech Adam, Ladislav Zeman, Petr Babula and Rene Kizek
Sensors 2008, 8(2), 1039-1047; https://doi.org/10.3390/s8021039 - 19 Feb 2008
Cited by 18 | Viewed by 9292
Abstract
Metallothioneins belong to a group of intracellular, high molecular andcysteine-rich proteins whose content in an organism increase with increasing concentrationof a heavy metal. The aim of this work was to apply the electrochemical analysis for theanalysis of metallothioneins in earthworms exposed to cadmium [...] Read more.
Metallothioneins belong to a group of intracellular, high molecular andcysteine-rich proteins whose content in an organism increase with increasing concentrationof a heavy metal. The aim of this work was to apply the electrochemical analysis for theanalysis of metallothioneins in earthworms exposed to cadmium ions and brewery sludge.Here we utilized adsorptive transfer technique coupled with differential pulse voltammetryBrdicka reaction to determine metallothionein in different biological samples. By meansthis very sensitive technique it was possible to analyze metallothionein in concentrationsbelow 1 ?mol.l-1 with the standard deviation of 4-5%. We found out that the average MTlevel in the non-treated earthworms oscillated between 19 and 48 ?mol.l-1. When weanalysed samples of earthworms treated by cadmium, we observed that the MT contentincreased with the exposition length and increase dose of cadmium ions. Finally, weattempted to study and compare the toxicity of the raw sludge and its leach by using ofearthworms. The raw brewery sludge caused the death of the earthworms quickly.Earthworms held in the presence of leach from brewery sludge increased their weight of147 % of their original weight because they ingested the nutrients from the sludge. Themetallothionein level changes markedly with increasing time of exposition and applieddose of toxic compound. It clearly follows from the obtained results that the MT synthesisis insufficient in the first hours of the exposition and increases after more than 24 h. Full article
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<p>Differential pulse voltammograms of the control earthworms and earthworms exposed to cadmium(II) ions of 50 μmol.l<sup>−1</sup> during the seven days long experiment.</p>
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<p>The differences of MT contents (MT <sub>sample</sub> − MT<sub>control</sub>) in earthworms kept in different cadmium concentration (0, 5, 10, 20, 30, 40 and 50 μmol.l<sup>−1</sup>) for seven days. In inset: dependence of peak height on MT concentration added to the brewery sludge.</p>
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1148 KiB  
Review
Selective Chemical Labeling of Proteins with Small Fluorescent Molecules Based on Metal-Chelation Methodology
by Nobuaki Soh
Sensors 2008, 8(2), 1004-1024; https://doi.org/10.3390/s8021004 - 19 Feb 2008
Cited by 75 | Viewed by 14171
Abstract
Site-specific chemical labeling utilizing small fluorescent molecules is apowerful and attractive technique for in vivo and in vitro analysis of cellular proteins,which can circumvent some problems in genetic encoding labeling by large fluorescentproteins. In particular, affinity labeling based on metal-chelation, advantageous due to [...] Read more.
Site-specific chemical labeling utilizing small fluorescent molecules is apowerful and attractive technique for in vivo and in vitro analysis of cellular proteins,which can circumvent some problems in genetic encoding labeling by large fluorescentproteins. In particular, affinity labeling based on metal-chelation, advantageous due to thehigh selectivity/simplicity and the small tag-size, is promising, as well as enzymaticcovalent labeling, thereby a variety of novel methods have been studied in recent years.This review describes the advances in chemical labeling of proteins, especially highlightingthe metal-chelation methodology. Full article
(This article belongs to the Special Issue Bioanalysis in Vivo/in Vitro)
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<p>Biarsenical dyes: (a) FlAsH, (b) ReAsH, (c) CHoXAsH, (d) BArNile, (e) F2FlAsH, (f) F4FlAsH, (g) AsCy3, (h) CrAsH, (i) SplAsHs (SplAsH-MANT, SplAsH-Dansyl, SplAsH-DEAC, SplAsH-ROX, SplAsH-Alexa594)</p>
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<p>Biarsenical Ca<sup>2+</sup> indicator (CaGF)</p>
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<p>Fluorophore or chromophore-conjugated NTA-Ni<sup>2+</sup> complexes: (a) (Ni<sup>2+</sup>:NTA)<sub>2</sub>-Cy, (b) NTA-FITC-Ni<sup>2+</sup>, (c) NTA-QSY-Ni<sup>2+</sup>, (d) NTA-DCF-Ni<sup>2+</sup></p>
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<p>Fluorophore-conjugated multivalent NTA-Ni<sup>2+</sup> complexes: (a) mono-NTA-Fluo, (b) bis-NTA-Fluo, (c) tris-NTA-Fluo, (d) tetrakis-NTA-Fluo, (e) tris-NTAs for multicolor fluorescent detection (<sup>OG488</sup>tris-NTA, <sup>AT565</sup>tris-NTA, <sup>FEW646</sup>tris-NTA, <sup>OG488-OEG</sup>tris-NTA)</p>
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<p>Fluorophore-conjugated multivalent NTA-Ni<sup>2+</sup> complexes: (a) mono-NTA-Fluo, (b) bis-NTA-Fluo, (c) tris-NTA-Fluo, (d) tetrakis-NTA-Fluo, (e) tris-NTAs for multicolor fluorescent detection (<sup>OG488</sup>tris-NTA, <sup>AT565</sup>tris-NTA, <sup>FEW646</sup>tris-NTA, <sup>OG488-OEG</sup>tris-NTA)</p>
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<p>Chelate compounds utilizing expanded tag or other metal ion: (a) dansyl-NTA-Ni<sup>2+</sup> (for His-Trp-tag), (b) HisZiFit-Zn<sup>2+</sup> (comprising Zn<sup>2+</sup> mediator)</p>
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<p>Fluorophore-conjugated multinuclear Zn<sup>2+</sup> complexes (Zn(II)-DpaTyrs): (a) FITC-binuclear Zn(II)-DpaTyr, (b) FITC-tetranuclear Zn(II)-DpaTyr, (c) Cy5-tetranuclear Zn(II)-DpaTyr, (d) SNARF-binuclear Zn(II)-DpaTyr, (e) pyrene-binuclear Zn(II)-DpaTyr, (f) <span class="html-italic">N</span>-α-chloroacetyl-rhodamine-binuclear Zn(II)-DpaTyr</p>
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<p>Fluorophore-conjugated multinuclear Zn<sup>2+</sup> complexes (Zn(II)-DpaTyrs): (a) FITC-binuclear Zn(II)-DpaTyr, (b) FITC-tetranuclear Zn(II)-DpaTyr, (c) Cy5-tetranuclear Zn(II)-DpaTyr, (d) SNARF-binuclear Zn(II)-DpaTyr, (e) pyrene-binuclear Zn(II)-DpaTyr, (f) <span class="html-italic">N</span>-α-chloroacetyl-rhodamine-binuclear Zn(II)-DpaTyr</p>
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<p>Strategies for the selective chemical labeling of proteins with small fluorescent molecules based on metal-chelation: (a) tetracysteine/biarsenical system, (b) oligohistidine/nickel-complex system, (c) oligo-aspartate/zinc-complex system, (d) lanthanide-binding tag system</p>
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1247 KiB  
Article
A Perturbation Method for the 3D Finite Element Modeling of Electrostatically Driven MEMS
by Mohamed Boutaayamou, Ruth V. Sabariego and Patrick Dular
Sensors 2008, 8(2), 994-1003; https://doi.org/10.3390/s8020994 - 19 Feb 2008
Cited by 1 | Viewed by 11201
Abstract
In this paper, a finite element (FE) procedure for modeling electrostatically actu-ated MEMS is presented. It concerns a perturbation method for computing electrostatic fielddistortions due to moving conductors. The computation is split in two steps. First, an un-perturbed problem (in the absence of [...] Read more.
In this paper, a finite element (FE) procedure for modeling electrostatically actu-ated MEMS is presented. It concerns a perturbation method for computing electrostatic fielddistortions due to moving conductors. The computation is split in two steps. First, an un-perturbed problem (in the absence of certain conductors) is solved with the conventional FEmethod in the complete domain. Second, a perturbation problem is solved in a reduced re-gion with an additional conductor using the solution of the unperturbed problem as a source.When the perturbing region is close to the original source field, an iterative computation maybe required. The developed procedure offers the advantage of solving sub-problems in re-duced domains and consequently of benefiting from different problem-adapted meshes. Thisapproach allows for computational efficiency by decreasing the size of the problem. Full article
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering)
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<p>A moving micro-beam carrying a floating potential inside a parrallel-plate capacitor</p>
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<p>Mesh of Ω (1); distribution of the unperturbed electric potential <span class="html-italic">υ<sub>u</sub></span> (2) and electrice field <b><span class="html-italic">e</span><span class="html-italic"><sub>u</sub></span></b> (3); adapted mesh of Ω<span class="html-italic"><sub>p</sub></span> (4); distribution of the perturbation electric potential <span class="html-italic">υ</span> (5) and the perturbed one <span class="html-italic">υ<sub>p</sub></span> (6); distribution of the perturbation electric field <b><span class="html-italic">e</span></b> (7) and the perturbed one <b><span class="html-italic">e</span><span class="html-italic"><sub>p</sub></span></b> (8)</p>
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<p>Meshes for the perturbation problems without <span class="html-italic">(left)</span> and with a shell for transformation to infinity <span class="html-italic">(right)</span></p>
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<p><b><span class="html-italic">e</span><span class="html-italic"><sub>p</sub></span></b> (<span class="html-italic">y</span>-component) computed along the micro-beam top surface for different perturbing regions <span class="html-italic">(left)</span>. Relative error of <b><span class="html-italic">e</span><span class="html-italic"><sub>p</sub></span></b> (<span class="html-italic">y</span>-component) with respect to the FE solution in each perturbing region <span class="html-italic">(right)</span></p>
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<p>Relative error of <span class="html-italic">υ<sub>p</sub>(left)</span> and <b><span class="html-italic">e</span></b><span class="html-italic"><sub>p</sub></span> (<span class="html-italic">y</span>-component) <span class="html-italic">(right)</span> computed along the micro-beam top surface for several distances separating electrode at 1V and the micro-beam</p>
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<p>Relative error of <span class="html-italic">υ<sub>p</sub></span> <span class="html-italic">(left)</span> and <b><span class="html-italic">e <sub>p</sub></span></b> (y-component) <span class="html-italic">(right)</span> computed along the micro-beam top surface for some iterations</p>
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<p>Iteration numbers to achieve the convergence versus the distance separating electrode at 1V and the micro-beam</p>
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583 KiB  
Article
Laboratory Evaluation of Acoustic Backscatter and LISST Methods for Measurements of Suspended Sediments
by Ramazan Meral
Sensors 2008, 8(2), 979-993; https://doi.org/10.3390/s8020979 - 19 Feb 2008
Cited by 18 | Viewed by 12067
Abstract
The limitation of traditional sampling method to provide detailed spatial andtemporal profiles of suspended sediment concentration has led to an interest in alternativedevices and methods based on scattering of underwater sound and light . In the presentwork, acoustic backscatter and LISST (the Laser [...] Read more.
The limitation of traditional sampling method to provide detailed spatial andtemporal profiles of suspended sediment concentration has led to an interest in alternativedevices and methods based on scattering of underwater sound and light . In the presentwork, acoustic backscatter and LISST (the Laser In Situ Scattering Transmissometry)devices, and methodologies were given. Besides a laboratory study was conducted tocompare pumping methods for different sediment radiuses at the same concentration. Theglass spheres (ballotini) of three different radiuses of 115, 137 and 163 ?m were used toobtain suspension in the sediment tower at laboratory. A quite good agreement wasobtained between these methods and pumping results with the range at 60.6-94.2% forsediment concentration and 91.3-100% for radius measurements. These results and theother studies show that these methods have potential for research tools for sedimentstudies. In addition further studies are needed to determine the ability of these methods forsediment measurement under different water and sediment material conditions. Full article
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
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<p>The LISST devices elements: (a) laser diode source, (b) companion focusing optics, (c) and (e) two pressure windows, (d) sample volume, (f) receiving lens, (g) concentric photodetector rings, (h) transmission detector</p>
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<p>The sediment tower used for ABS measurement (Adopted from Thorne and Hanes, 2002 [<a href="#b1-sensors-08-00979" class="html-bibr">1</a>]).</p>
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<p>The backscatter voltages from suspension for each frequency and radius.</p>
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<p>The mean sediment concentration results of ABS measurements for 3 different frequency.</p>
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<p>Sediment radius results of ABS measurements.</p>
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<p>The laser transmission results of LISST measurements.</p>
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<p>The scattering distribution of LISST measurements.</p>
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<p>Sediment concentration results of LISST measurements.</p>
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<p>Sediment radius results of LISST measurements</p>
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373 KiB  
Article
Preliminary Results on Design and Implementation of a Solar Radiation Monitoring System
by Mugur C. Balan, Mihai Damian and Lorentz Jäntschi
Sensors 2008, 8(2), 963-978; https://doi.org/10.3390/s8020963 - 19 Feb 2008
Cited by 25 | Viewed by 9400
Abstract
The paper presents a solar radiation monitoring system, using two scientificpyranometers and an on-line computer home-made data acquisition system. The firstpyranometer measures the global solar radiation and the other one, which is shaded,measure the diffuse radiation. The values of total and diffuse solar [...] Read more.
The paper presents a solar radiation monitoring system, using two scientificpyranometers and an on-line computer home-made data acquisition system. The firstpyranometer measures the global solar radiation and the other one, which is shaded,measure the diffuse radiation. The values of total and diffuse solar radiation arecontinuously stored into a database on a server. Original software was created for dataacquisition and interrogation of the created system. The server application acquires the datafrom pyranometers and stores it into a database with a baud rate of one record at 50seconds. The client-server application queries the database and provides descriptivestatistics. A web interface allow to any user to define the including criteria and to obtainthe results. In terms of results, the system is able to provide direct, diffuse and totalradiation intensities as time series. Our client-server application computes also derivateheats. The ability of the system to evaluate the local solar energy potential is highlighted. Full article
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<p>Working principle scheme of a pyranometer.</p>
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<p>Working principle scheme of the data acquisition and monitoring system.</p>
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<p>Principle scheme of the data acquisition system using a microcontroller.</p>
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<p>(A) Principle flow chart of the “Acquisition software” component; (B) Principle flow chart of the “Database interrogation” component.</p>
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<p>Snapshoot of the monitoring panel.</p>
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<p>Snapshot: Values of the solar radiation intensity, recorded in august 17, 2007, between 13:00…14:00 EET, with a time step of 10 minutes.</p>
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<p>Comparison of two measurements located near one to each other (see text)</p>
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<p>Variation of the total solar radiation intensity, in the period August - December 2007</p>
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<p>Autocorrelation Correlogram on Total Radiation. Lag = the k order, Corr. = correlation coefficient, p = significance of correlation coefficient</p>
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1400 KiB  
Article
Effects of van der Waals Force and Thermal Stresses on Pull-in Instability of Clamped Rectangular Microplates
by Romesh C. Batra, Maurizio Porfiri and Davide Spinello
Sensors 2008, 8(2), 1048-1069; https://doi.org/10.3390/s8021048 - 15 Feb 2008
Cited by 101 | Viewed by 12267
Abstract
We study the influence of von Karman nonlinearity, van der Waals force, and a athermal stresses on pull-in instability and small vibrations of electrostatically actuated mi-croplates. We use the Galerkin method to develop a tractable reduced-order model for elec-trostatically actuated clamped rectangular microplates [...] Read more.
We study the influence of von Karman nonlinearity, van der Waals force, and a athermal stresses on pull-in instability and small vibrations of electrostatically actuated mi-croplates. We use the Galerkin method to develop a tractable reduced-order model for elec-trostatically actuated clamped rectangular microplates in the presence of van der Waals forcesand thermal stresses. More specifically, we reduce the governing two-dimensional nonlineartransient boundary-value problem to a single nonlinear ordinary differential equation. For thestatic problem, the pull-in voltage and the pull-in displacement are determined by solving apair of nonlinear algebraic equations. The fundamental vibration frequency corresponding toa deflected configuration of the microplate is determined by solving a linear algebraic equa-tion. The proposed reduced-order model allows for accurately estimating the combined effectsof van der Waals force and thermal stresses on the pull-in voltage and the pull-in deflectionprofile with an extremely limited computational effort. Full article
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering)
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<p>Sketch of an electrostatically actuated rectangular microplate.</p>
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<p>Variation of <span class="html-italic">μ</span><sub>cr</sub> with the aspect ratio <span class="html-italic">φ</span> for (a) <span class="html-italic">α</span> = 1 and <span class="html-italic">β</span> = 0 and (b) α = 4 and <span class="html-italic">β</span> = 0.</p>
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<p>Variation with <span class="html-italic">α</span> of the function <span class="html-italic">f</span>(<span class="html-italic">α</span>) in <a href="#FD53" class="html-disp-formula">Equation (40)</a>.</p>
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<p>(a) λ<sub>PI</sub> and (b) ‖<span class="html-italic">w</span><sub>PI</sub>‖<sub>∞</sub> versus <span class="html-italic">μ</span> for a square plate with <span class="html-italic">α</span> = 1 and <span class="html-italic">β</span> = 0.</p>
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<p>(a) λ<sub>PI</sub> and (b) ‖<span class="html-italic">w</span><sub>PI</sub> ‖<sub>∞</sub> versus <span class="html-italic">μ</span> for a rectangular plate (<span class="html-italic">φ</span> = 1/2) with <span class="html-italic">α</span> = 1 and <span class="html-italic">β</span> = 0.</p>
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<p>For <span class="html-italic">μ</span> ⋍ 0.3<span class="html-italic">μ</span><sub>cr</sub> and <span class="html-italic">α</span> = 4, deformed shape of (a) the square plate with λ ⋍ 200 and ‖<span class="html-italic">w</span>‖<sub>∞</sub> ⋍ 0.59, and (b; rectangular plate with <span class="html-italic">φ</span> = 1/2, λ ⋍ 1500 and ‖<span class="html-italic">w</span>‖<sub>∞</sub> ⋍ 0.59. Fringe plots of the van der Waals pressure are also displayed.</p>
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<p>For <span class="html-italic">α</span> = 1 (solid line) and <span class="html-italic">α</span> = 4 (dashed line), variation with <span class="html-italic">β</span> of the critical van der Waals force parameter <span class="html-italic">μ</span><sub>cr</sub> for (a) square plate and (b) rectangular plate with <span class="html-italic">φ</span> = 1/2.</p>
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<p>For <span class="html-italic">α</span> = 1 (solid line), <span class="html-italic">α</span> = 4 (dashed line), and <span class="html-italic">μ</span> = 0, variation with <span class="html-italic">β</span> of the pull-in voltage parameter λ<sub>PI</sub>for (a) square plate, and (b) rectangular plate with <span class="html-italic">φ</span> = 1/2.</p>
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<p>Normalized fundamental frequency versus A for <span class="html-italic">μ</span> = 0 (solid curve), <span class="html-italic">μ</span> ⋍ 0.3<span class="html-italic">μ</span><sub>cr</sub> (dashed curve), <span class="html-italic">α</span> = 4 and <span class="html-italic">β</span> = 0; (a) <span class="html-italic">φ</span> = 1 and (b) <span class="html-italic">φ</span> = 1/2.</p>
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601 KiB  
Article
LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
by Jiming Chen, Ruizhong Lin, Yanjun Li and Youxian Sun
Sensors 2008, 8(2), 1025-1038; https://doi.org/10.3390/s8021025 - 15 Feb 2008
Cited by 44 | Viewed by 13040
Abstract
Routing protocols are crucial to self-organize wireless sensor networks (WSNs),which have been widely studied in recent years. For some specific applications, both energyaware and reliable data transmission need to be considered together. Historical link statusshould be captured and taken into account in making [...] Read more.
Routing protocols are crucial to self-organize wireless sensor networks (WSNs),which have been widely studied in recent years. For some specific applications, both energyaware and reliable data transmission need to be considered together. Historical link statusshould be captured and taken into account in making data forwarding decisions to achievethe data reliability and energy efficiency tradeoff. In this paper, a dynamic window concept(m, k) is presented to record the link historical information and a link quality estimation basedrouting protocol (LQER) are proposed, which integrates the approach of minimum hop fieldand (m, k). The performance of LQER is evaluated by extensive simulation experiments to bemore energy-aware, with lower loss rate and better scalability than MHFR [1] and MCR [2].Thus the WSNs with LQER get longer lifetime of networks and better link quality. Full article
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<p>Routing Tree Example</p>
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<p>1000-Nodes Random Network</p>
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<p>Average Energy Consumption of MHFR, LRER and MCR</p>
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<p>Difference of Average Energy Consumption in MHFR and LQER</p>
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<p>Difference of Average Energy Consumption in MCR and LQER</p>
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<p>Success Rate of MHFR, LQER and MCR</p>
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<p>Success Rate of LQER and Energy Consumption of LQER Compared to MHFR</p>
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5602 KiB  
Article
Improving Distributed Runoff Prediction in Urbanized Catchments with Remote Sensing based Estimates of Impervious Surface Cover
by Jaroslaw Chormanski, Tim Van de Voorde, Tim De Roeck, Okke Batelaan and Frank Canters
Sensors 2008, 8(2), 910-932; https://doi.org/10.3390/s8020910 - 15 Feb 2008
Cited by 79 | Viewed by 15643
Abstract
The amount and intensity of runoff on catchment scale are strongly determinedby the presence of impervious land-cover types, which are the predominant cover types inurbanized areas. This paper examines the impact of different methods for estimatingimpervious surface cover on the prediction of peak [...] Read more.
The amount and intensity of runoff on catchment scale are strongly determinedby the presence of impervious land-cover types, which are the predominant cover types inurbanized areas. This paper examines the impact of different methods for estimatingimpervious surface cover on the prediction of peak discharges, as determined by a fullydistributed rainfall-runoff model (WetSpa), for the upper part of the Woluwe Rivercatchment in the southeastern part of Brussels. The study shows that detailed informationon the spatial distribution of impervious surfaces, as obtained from remotely sensed data,produces substantially different estimates of peak discharges than traditional approachesbased on expert judgment of average imperviousness for different types of urban land use.The study also demonstrates that sub-pixel estimation of imperviousness may be a usefulalternative for more expensive high-resolution mapping for rainfall-runoff modelling atcatchment scale. Full article
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
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<p>Location of the Upper Woluwe catchment.</p>
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<p>Land use for the Upper Woluwe River catchment (derived from the digital land-use map of Flanders produced by AGIV).</p>
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<p>Scatter plot of NDVI of a random sample of ETM+ pixels and the average NDVI of constituent Ikonos pixels before (left) and after temporal filtering (right).</p>
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<p>Proportion of impervious surfaces for cells of 30 m resolution obtained by sub-pixel classification of Landsat ETM+ data (left), and by spatial aggregation of the Ikonos derived land-cover map (right) for the area of overlap of both image data sets.</p>
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<p>Mean absolute error (<span class="html-italic">MAE<sub>Cj</sub></span>) for impervious surfaces for different intervals of reference proportions and for different levels of aggregation (black: 30 m, grey: 60 m, white: 90 m).</p>
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<p>Mean absolute error (<span class="html-italic">MAE<sub>Cj</sub></span>) for vegetation for different intervals of reference proportions and for different levels of aggregation (black: 30 m, grey: 60 m, white: 90 m).</p>
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<p>Hydrographs for scenario 1 with 30 % imperviousness (default) and 44 % imperviousness (Ikonos) for the period 3<sup>rd</sup> of May 2005 1.00 am till 6<sup>th</sup> of May 2005 9.00 am.</p>
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<p>Comparison of hydrographs obtained for scenario 1 and scenario 2 for the period 3<sup>rd</sup> of May 2005 1.00 am till 6<sup>th</sup> of May 2005 9.00 am.</p>
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<p>Comparison of hydrographs for the 3 scenarios using Ikonos data for the period 3<sup>rd</sup> of May 2005 1.00 am till 6<sup>th</sup> of May 2005 9.00 am.</p>
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336 KiB  
Article
Networked Estimation with an Area-Triggered Transmission Method
by Vinh Hao Nguyen and Young Soo Suh
Sensors 2008, 8(2), 897-909; https://doi.org/10.3390/s8020897 - 15 Feb 2008
Cited by 46 | Viewed by 9537
Abstract
This paper is concerned with the networked estimation problem in which sensordata are transmitted over the network. In the event-driven sampling scheme known aslevel-crossing or send-on-delta, sensor data are transmitted to the estimator node if thedifference between the current sensor value and the [...] Read more.
This paper is concerned with the networked estimation problem in which sensordata are transmitted over the network. In the event-driven sampling scheme known aslevel-crossing or send-on-delta, sensor data are transmitted to the estimator node if thedifference between the current sensor value and the last transmitted one is greater than agiven threshold. The event-driven sampling generally requires less transmission than thetime-driven one. However, the transmission rate of the send-on-delta method becomeslarge when the sensor noise is large since sensor data variation becomes large due to thesensor noise. Motivated by this issue, we propose another event-driven sampling methodcalled area-triggered in which sensor data are sent only when the integral of differencesbetween the current sensor value and the last transmitted one is greater than a giventhreshold. Through theoretical analysis and simulation results, we show that in the certaincases the proposed method not only reduces data transmission rate but also improvesestimation performance in comparison with the conventional event-driven method. Full article
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<p>SOD and SOA sampling schemes</p>
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<p>Sensor output with noise in discrete time.</p>
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<p>Effect of <span class="html-italic">R</span> on data transmission rate and distortion for <span class="html-italic">y</span>(<span class="html-italic">t</span>) = 0.1<span class="html-italic">t</span> + <span class="html-italic">v</span>(<span class="html-italic">t</span>).</p>
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<p>Effect of <span class="html-italic">R</span> on data transmission rate and distortion for <span class="html-italic">y</span>(<span class="html-italic">t</span>) = 5(1 − <span class="html-italic">e</span><sup>−0.1</sup><span class="html-italic"><sup>t</sup></span>) + <span class="html-italic">v</span>(<span class="html-italic">t</span>).</p>
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<p>Structure of the modified Kalman filter.</p>
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<p>Estimation error as <span class="html-italic">δ</span> = 0.9, <span class="html-italic">α</span> = 0.0881 in case 1</p>
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<p>Estimation error as <span class="html-italic">δ</span> = 0.9, <span class="html-italic">α</span> = 0.0303 in case 2.</p>
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898 KiB  
Article
Generalized Split-Window Algorithm for Estimate of Land Surface Temperature from Chinese Geostationary FengYun Meteorological Satellite (FY-2C) Data
by Bohui Tang, Yuyun Bi, Zhao-Liang Li and Jun Xia
Sensors 2008, 8(2), 933-951; https://doi.org/10.3390/s8020933 - 14 Feb 2008
Cited by 177 | Viewed by 18700
Abstract
On the basis of the radiative transfer theory, this paper addressed the estimate ofLand Surface Temperature (LST) from the Chinese first operational geostationarymeteorological satellite-FengYun-2C (FY-2C) data in two thermal infrared channels (IR1,10.3-11.3 ? m and IR2, 11.5-12.5 ? m ), using the Generalized [...] Read more.
On the basis of the radiative transfer theory, this paper addressed the estimate ofLand Surface Temperature (LST) from the Chinese first operational geostationarymeteorological satellite-FengYun-2C (FY-2C) data in two thermal infrared channels (IR1,10.3-11.3 ? m and IR2, 11.5-12.5 ? m ), using the Generalized Split-Window (GSW)algorithm proposed by Wan and Dozier (1996). The coefficients in the GSW algorithmcorresponding to a series of overlapping ranging of the mean emissivity, the atmosphericWater Vapor Content (WVC), and the LST were derived using a statistical regressionmethod from the numerical values simulated with an accurate atmospheric radiativetransfer model MODTRAN 4 over a wide range of atmospheric and surface conditions.The simulation analysis showed that the LST could be estimated by the GSW algorithmwith the Root Mean Square Error (RMSE) less than 1 K for the sub-ranges with theViewing Zenith Angle (VZA) less than 30° or for the sub-rangs with VZA less than 60°and the atmospheric WVC less than 3.5 g/cm2 provided that the Land Surface Emissivities(LSEs) are known. In order to determine the range for the optimum coefficients of theGSW algorithm, the LSEs could be derived from the data in MODIS channels 31 and 32 provided by MODIS/Terra LST product MOD11B1, or be estimated either according tothe land surface classification or using the method proposed by Jiang et al. (2006); and theWVC could be obtained from MODIS total precipitable water product MOD05, or beretrieved using Li et al.’ method (2003). The sensitivity and error analyses in term of theuncertainty of the LSE and WVC as well as the instrumental noise were performed. Inaddition, in order to compare the different formulations of the split-window algorithms,several recently proposed split-window algorithms were used to estimate the LST with thesame simulated FY-2C data. The result of the intercomparsion showed that most of thealgorithms give comparable results Full article
(This article belongs to the Special Issue Remote Sensing of Natural Resources and the Environment)
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<p>Plot of the atmospheric water vapor content as function of atmospheric temperature <span class="html-italic">T</span><sub>0</sub> in the first boundary layer of the selected 1413 atmospheric profiles in TIGR2002.</p>
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<p>Coefficients of the generalized split-window algorithm for the sub-range with LST varying from 290 K to 310 K, and WVC from 1.0 g/cm<sup>2</sup> to 2.5 g/cm<sup>2</sup>. (a) for <span class="html-italic">ε</span> ∈ [0.90, 0.96] and (b) for <span class="html-italic">ε</span> ∈ [0.94, 1.0]</p>
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<p>Histogram of the difference between the actual and estimated <span class="html-italic">T<sub>s</sub></span> for the subrange with LST varying from 290 K to 310 K, and WVC from 1.0 g/cm<sup>2</sup> to 2.5 g/cm<sup>2</sup>. (a) for <span class="html-italic">ε</span> ∈ [0.90, 0.96] and (b) for <span class="html-italic">ε</span> ∈ [0.94, 1.0].</p>
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<p>RMSEs between the actual and estimated <span class="html-italic">T<sub>s</sub></span> as functions of the secant VZA for different sub-ranges in two different emissivity groups.</p>
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<p>S-VISSR and MODIS split-window spectral response functions.</p>
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<p>Linear fitting relationship of the emissivities between the S-VISSR channels IR1 and IR2 and the MODIS channels 31 and 32, respectively.</p>
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<p>Curve fits of the coefficients <span class="html-italic">c</span><sub>1</sub> − <span class="html-italic">c</span><sub>2</sub> in <a href="#FD6" class="html-disp-formula">Eq. (6)</a> as functions of the VZA</p>
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<p>Histogram of the difference between the actual and estimated <span class="html-italic">T<sub>s</sub></span> for the overlap water vapor content <span class="html-italic">WVC</span> ∈ [1.0, 1.5] using the coefficients of different sub-ranges.</p>
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<p>Map of the LST estimated from FY-2C satellite data at 11:00 local time on May 15, 2006.</p>
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274 KiB  
Article
A Grain Flow Model to Simulate Grain Yield Sensor Response
by Selcuk Arslan
Sensors 2008, 8(2), 952-962; https://doi.org/10.3390/s8020952 - 9 Feb 2008
Cited by 12 | Viewed by 8011
Abstract
The objective of this study was to develop a flow model for grain combinesbased on the laboratory and field response of an impact based grain flow sensor. The grainflow model developed in this study is of first order with constant coefficients. A computercode [...] Read more.
The objective of this study was to develop a flow model for grain combinesbased on the laboratory and field response of an impact based grain flow sensor. The grainflow model developed in this study is of first order with constant coefficients. A computercode was written to solve the model and to simulate the response of a yield sensor whoseresponse had been determined previously for various types of flow rate inputs both in fieldand laboratory experiments. The computer program for the simulation can alsocompensate for the time delay. The simulation results of the theoretical model suited wellto the experimental data and showed that the model effectively shows the input-outputrelationship of grain flow through a grain combine. This model could be used for periodicflow signals acquired from grain yield sensors. It was concluded that the model postulatedin this study could be further developed to determine the grain yield entering the combineusing the outlet flow rate measured by a yield sensor. Full article
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<p>Schematic representation of grain flow through a combine for the theoretical model.</p>
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<p>Simulated unit step response for the theoretical model.</p>
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<p>Grain yield sensor response to step changes in grain flow on a combine during harvest [<a href="#b11-sensors-08-00952" class="html-bibr">11</a>].</p>
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<p>Grain flow signal as measured by a yield sensor for step changes in grain flow in a laboratory experiment [<a href="#b12-sensors-08-00952" class="html-bibr">12</a>].</p>
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<p>Step response for the theoretical model for repeated inputs.</p>
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3186 KiB  
Review
Metallic Nanomaterials for Sensitivity Enhancement of Fluorescence Detection
by Ewa M. Goldys and Fang Xie
Sensors 2008, 8(2), 886-896; https://doi.org/10.3390/s8020886 - 8 Feb 2008
Cited by 32 | Viewed by 9837
Abstract
Utrasensitive detection of trace analytes by fluorescence benefits forfluorescence amplifying substrates. We review here our recent work concerned withunderstanding of enhancement mechanisms and formation of three such substrates: silverfractals, silver coated gold nanoparticles deposited on glass and fluorescence enhancinggold colloids. Full article
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<p>(a) Laser scanning microscopy image of a fluorescent protein monolayer on an electrodeposited silver structure; (b) transmission image of the same region of the structure [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. The sample was excited with an Ar laser emitting at 488 nm, and the emission was collected over the range of 500-600 nm. The image size in a-b is 170 μm by 17 μm. Reprint with permission from [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. Copyright (2007) American Chemical Society.</p>
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<p>Pixel-to-pixel correlations of gray values between the two images (<a href="#f1-sensors-08-00886" class="html-fig">Fig. 1a and 1b</a>): The transmission intensity is displayed on the X axis with black color corresponding to low readings (near 0) and white areas of uncovered glass corresponding to high x values, near 255. The fluorescence intensity (Y axis) is displayed in a similar fashion with black near 0 and highly fluorescent regions at high Y values. Linearity improves in the upper left corner where fluorescence is high and transmission low. Saturation is observed on bare glass, not covered with fractals [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. Reprint with permission from [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. Copyright (2007) American Chemical Society.</p>
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<p>ESEM images of the silver structures (a) magnification × 7000, bar represents 5 um (b) magnification × 60000, bar represents 500 nm [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. Reprint with permission from [<a href="#b7-sensors-08-00886" class="html-bibr">7</a>]. Copyright (2007) American Chemical Society.</p>
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<p>Illustration of metal induced fluorescence enhancement on glass surface. The fluorescence intensity is increased on the glass surface coated with metallic nanoparticle [<a href="#b15-sensors-08-00886" class="html-bibr">15</a>]s.</p>
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<p>An SEM image of (a) Au-core Ag-shell nanoparticles after 1 minute silver enhancing step(∼19 nm); (b) Au-core-Ag-shell nanoparticles 3 minutes silver enhancing step (∼47 nm); inserts show the morphology of individual particles [<a href="#b12-sensors-08-00886" class="html-bibr">12</a>]. Reprint with permission from [<a href="#b12-sensors-08-00886" class="html-bibr">12</a>]. Copyright (2006) American Chemical Society.</p>
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<p>The profile of the enhancement factor for 47 nm Ag coated Au colloid [<a href="#b12-sensors-08-00886" class="html-bibr">12</a>]. Reprint with permission from [<a href="#b12-sensors-08-00886" class="html-bibr">12</a>]. Copyright (2006) American Chemical Society.</p>
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<p>SEM images of (A) 80 nm Au colloid; (B) 118 nm Au colloid; (C) 162 nm Au colloid after 24 hours deposition onto the APTMS modified glass substrates. All images were taken at the same magnification (50K [<a href="#b15-sensors-08-00886" class="html-bibr">15</a>]). Reprint with permission from [<a href="#b15-sensors-08-00886" class="html-bibr">15</a>]. Copyright (2008) American Chemical Society.</p>
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<p>Fluorescence emission intensity of FITC-HSA: (a) on substrate with 2 hours incubation time (from top to bottom): 162 nm Au colloid; 118 nm Au colloid; and 80 nm Au colloid. (b) on substrate with 24 hours incubation time (from top to bottom): 162 nm Au colloid; 118 nm Au colloid; and 80 nm Au colloid. (c) Normalized emission spectra of FITC-HSA on glass and on metallic surface [<a href="#b15-sensors-08-00886" class="html-bibr">15</a>]. Reprint with permission from [<a href="#b15-sensors-08-00886" class="html-bibr">15</a>]. Copyright (2008) American Chemical Society.</p>
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1527 KiB  
Article
Micro Dot Patterning on the Light Guide Panel Using Powder Blasting
by Ho Su Jang, Myeong Woo Cho and Dong Sam Park
Sensors 2008, 8(2), 877-885; https://doi.org/10.3390/s8020877 - 8 Feb 2008
Cited by 11 | Viewed by 11406
Abstract
This study is to develop a micromachining technology for a light guidepanel(LGP) mold, whereby micro dot patterns are formed on a LGP surface by a singleinjection process instead of existing screen printing processes. The micro powder blastingtechnique is applied to form micro dot [...] Read more.
This study is to develop a micromachining technology for a light guidepanel(LGP) mold, whereby micro dot patterns are formed on a LGP surface by a singleinjection process instead of existing screen printing processes. The micro powder blastingtechnique is applied to form micro dot patterns on the LGP mold surface. The optimalconditions for masking, laminating, exposure, and developing processes to form the microdot patterns are first experimentally investigated. A LGP mold with masked micro patternsis then machined using the micro powder blasting method and the machinability of themicro dot patterns is verified. A prototype LGP is test- injected using the developed LGPmold and a shape analysis of the patterns and performance testing of the injected LGP arecarried out. As an additional approach, matte finishing, a special surface treatment method,is applied to the mold surface to improve the light diffusion characteristics, uniformity andbrightness of the LGP. The results of this study show that the applied powder blastingmethod can be successfully used to manufacture LGPs with micro patterns by just singleinjection using the developed mold and thereby replace existing screen printing methods. Full article
(This article belongs to the Special Issue Modeling, Testing and Reliability Issues in MEMS Engineering)
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<p>Basic components of a BLU</p>
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<p>Overall fabrication process for a LGP mold</p>
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<p>Photographs of masked pattern shapes for powder blasting</p>
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<p>A square type dot pattern formed on the powder blasted mold</p>
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<p>A square type dot pattern formed on the test injected LGP</p>
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<p>Matte finish on the LGP mold surfaces</p>
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<p>Sampled 25 positions for measuring the brightness of display</p>
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<p>Variations of the brightness of the developed LGP versus five blasting conditions and one controlled injection condition</p>
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<p>Variations of the brightness of the developed LGP versus blasting pressures</p>
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