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  • 1
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    Multi-Sensor Information Fusion (2021)
    MDPI - Multidisciplinary Digital Publishing Institute
    Details
    Publication Date: 2024-04-11
    Description: This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
    Keywords: TA1-2040 ; T1-995 ; similarity measure ; information filter ; out-of-sequence ; Hellinger distance ; coefficient of determination maximization strategy ; uncertainty measure ; embedded systems ; Internet of things (IoT) ; random delays ; adaptive distance function ; random finite set ; Dempster–Shafer evidence theory (DST) ; safe trajectory ; health reliability degree ; dynamic optimization ; state probability approximation ; sensors bias ; multi-environments ; belief entropy ; quaternion ; closed world ; Gaussian process regression ; Gaussian mixture model (GMM) ; intelligent transport system ; multirotor UAV ; multi-sensor system ; attitude ; time-domain data fusion ; precision landing ; Industry 4.0 ; magnetic angular rate and gravity (MARG) sensor ; uncertainty ; unscented information filter ; data classification ; high-definition map ; global information ; inconsistent data ; extended belief entropy ; sensor system ; Steffensen’s iterative method ; SLAM ; the Range-Range-Range frame ; evidential reasoning ; belief functions ; powered two wheels (PTW) ; electronic nose ; particle swarm optimization ; grey group decision-making ; user experience platform ; complex surface measurement ; DoS attack ; extended Kalman filter ; ICP ; Gaussian density peak clustering ; artificial marker ; random parameter matrices ; optimal estimate ; local structure descriptor ; object classification ; domain adaption ; networked systems ; expectation maximization (EM) algorithm ; attitude estimation ; Gaussian process model ; least-squares smoothing ; target positioning ; RFS ; spectral clustering ; maintenance decision ; multi-target tracking ; GMPHD ; time-distributed ConvLSTM model ; non-rigid feature matching ; unknown inputs ; cardiac PET ; subspace alignment ; gradient domain ; multi-sensor measurement ; data fusion ; Bar-Shalom Campo ; Kalman filter ; signal feature extraction methods ; sensor data fusion algorithm ; distributed architecture ; predictive modeling techniques ; Gaussian mixture model ; self-reporting ; deep learning ; mutual support degree ; security zones ; sensor array ; soft sensor ; aircraft pilot ; projection ; vehicle-to-everything ; distributed intelligence system ; square-root cubature Kalman filter ; information fusion ; evidence combination ; LiDAR ; feature representations ; multi-sensor information fusion ; linear constraints ; galvanic skin response ; decision-level sensor fusion ; most suitable parameter form ; Pignistic vector angle ; SINS/DVL integrated navigation ; fault diagnosis ; facial expression ; yaw estimation ; dual gating ; multi-sensor data fusion ; multisensor system ; A* search algorithm ; data fusion architectures ; drift compensation ; augmented state Kalman filtering (ASKF) ; manifold ; nested iterative method ; data preprocessing ; interference suppression ; conflicting evidence ; sonar network ; Gaussian process ; health management decision ; state estimation ; eye-tracking ; high-dimensional fusion data (HFD) ; MEMS accelerometer and gyroscope ; multitarget tracking ; gaussian mixture probability hypothesis density ; integer programming ; image registration ; Dempster–Shafer evidence theory ; linear regression ; data association ; nonlinear system ; covariance matrix ; multi-source data fusion ; fuzzy neural network ; least-squares filtering ; fire source localization ; network flow theory ; weight maps ; camera ; plane matching ; calibration ; unmanned aerial vehicle ; fixed-point filter ; workload ; intelligent and connected vehicles ; mimicry security switch strategy ; alumina concentration ; the Range-Point-Range frame ; spatiotemporal feature learning ; distributed fusion ; user experience evaluation ; image fusion ; vehicular localization ; sensor fusion ; vibration ; parameter learning ; weighted fusion estimation ; data registration ; pose estimation ; surface quality control ; trajectory reconstruction ; land vehicle ; square root ; Deng entropy ; multi-focus ; EEG ; low-cost sensors ; sensor fusing ; sensor data fusion ; packet dropouts ; estimation ; industrial cyber-physical system (ICPS) ; multi-sensor time series ; multi-sensor network ; Human Activity Recognition (HAR) ; transfer ; multisensor data fusion ; convergence condition ; interaction tracker ; acoustic emission ; Covariance Projection method ; mix-method approach ; orthogonal redundant inertial measurement units ; sematic segmentation ; Surface measurement ; conflict measurement ; user experience measurement ; observable degree analysis ; open world ; novel belief entropy ; cutting forces ; machine health monitoring ; Bayesian reasoning method ; orientation ; surface modelling ; hybrid adaptive filtering ; supervoxel ; RTS smoother ; Dempster-Shafer evidence theory (DST) ; fast guided filter. ; multi-sensor joint calibration ; principal component analysis ; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
    Language: English
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    E-BOOK
  • 2
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    Concentrations of ultrapure water soluble aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect on USCGC Healy (HLY1502) August to October 2015 (2020)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-25
    Description: Dataset: GN01 Ultrapure Water Soluble Aerosol Concentrations
    Description: This dataset contains concentrations of ultrapure water soluble aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect (USCG Healy GN01). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/728472
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438047, NSF Division of Ocean Sciences (NSF OCE) OCE-1435871, NSF Division of Ocean Sciences (NSF OCE) OCE-1437266
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
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    Methods for the sampling and analysis of marine aerosols : results from the 2008 GEOTRACES aerosol intercalibration experiment (2014)
    Association for the Sciences of Limnology and Oceanography
    Details
    Publication Date: 2022-05-25
    Description: Author Posting. © Association for the Sciences of Limnology and Oceanography, 2013. This article is posted here by permission of Association for the Sciences of Limnology and Oceanography for personal use, not for redistribution. The definitive version was published in Limnology and Oceanography: Methods 11 (2013): 62-78, doi:10.4319/lom.2013.11.62.
    Description: Atmospheric deposition of trace elements and isotopes (TEI) is an important source of trace metals to the open ocean, impacting TEI budgets and distributions, stimulating oceanic primary productivity, and influencing biological community structure and function. Thus, accurate sampling of aerosol TEIs is a vital component of ongoing GEOTRACES cruises, and standardized aerosol TEI sampling and analysis procedures allow the comparison of data from different sites and investigators. Here, we report the results of an aerosol analysis intercalibration study by seventeen laboratories for select GEOTRACES-relevant aerosol species (Al, Fe, Ti, V, Zn, Pb, Hg, NO3 , and SO42 ) for samples collected in September 2008. The collection equipment and filter substrates are appropriate for the GEOTRACES program, as evidenced by low blanks and detection limits relative to analyte concentrations. Analysis of bulk aerosol sample replicates were in better agreement when the processing protocol was constrained (± 9% RSD or better on replicate analyses by a single lab, n = 7) than when it was not (generally 20% RSD or worse among laboratories using different methodologies), suggesting that the observed variability was mainly due to methodological differences rather than sample heterogeneity. Much greater variability was observed for fractional solubility of aerosol trace elements and major anions, due to differing extraction methods. Accuracy is difficult to establish without an SRM representative of aerosols, and we are developing an SRM for this purpose. Based on these findings, we provide recommendations for the GEOTRACES program to establish consistent and reliable procedures for the collection and analysis of aerosol samples.
    Description: This work was partially funded by the following sources: US National Science Foundation (NSF) grant OCE- 0752832 (PLM, WML, and AM), National Science Council Taiwan grant 100-2628-M-001-008-MY4 (SCH), US NSF grant OCE-1137836 (AMA-I), United Kingdom Natural Environmental Research Council (NERC) grant NE/H00548X/1 (AR Baker), Australian Government Cooperative Research Centres Programme (AR Bowie), US NSF grant OCE-0824304 (CSB and Adina Paytan), US NSF grants OCE-0825068 and OCE- 0728750 (SG and Robert Mason), US NSF grant OCE-0961038 (MGH), US NSF grant OCE-0752609 (MH and Christopher Measures), US NSF grant ATM-0839851 (AMJ), US NSF grant OCE-1031371 (CM), UK NERC grant NE/C001931/1 (MDP and Eric Achterberg), US NSF grant OCE-1132515 (GS and Carl Lamborg), US NSF grant OCE-0851462 (AV and Thomas Church), and US NSF grant OCE-0623189 (LMZ). This paper is part of the Intercalibration in Chemical Oceanography special issue of L&O Methods that was supported by funding from the US National Science Foundation, Chemical Oceanography Program (grant OCE-0927285 to Gregory Cutter).
    Repository Name: Woods Hole Open Access Server
    Type: Article
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  • 4
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    Concentrations of aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect cruise on USCGC Healy (HLY1502) from August to October 2015 (2020)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-05-25
    Description: Dataset: GN01 Total Aerosol Concentrations
    Description: This dataset contains concentrations of aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect (USCG Healy GN01). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/725905
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438047, NSF Division of Ocean Sciences (NSF OCE) OCE-1435871, NSF Division of Ocean Sciences (NSF OCE) OCE-1437266
    Repository Name: Woods Hole Open Access Server
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  • 5
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    Seismic anisotropy and shear-wave splitting: Achievements and perspectives: foreword (2023)
    INGV
    Details
    Publication Date: 2023-07-21
    Description: This special issue of Annals of Geophysics “Seismic anisotropy and shear-wave splitting: Achievements and perspectives” originates from a session (S10) of the 37th General assembly of the European Seismological commission ESC 2021 Conference which was planned to take place on 21 September 2021, in Corfu Greece, but due to the Covid19 pandemic was Virtual. The main theme of the session and of this special issue was the crucial role of seismic anisotropy in investigating the Earth’s interior from the upper crust to the inner core. Shear-wave splitting, one of the most effective ways to study seismic anisotropy, can identify the properties and the geodynamics of the upper mantle, and identify the presence of fluid-saturated microcracks, oriented according to the stress regime, in the upper crust. Azimuthal anisotropy and radial anisotropy can be assessed from earthquake or ambient noise recordings to detect the seismic layered features and to rebuild the 3D seismic structure
    Description: Published
    Description: SE204
    Description: 1T. Struttura della Terra
    Description: JCR Journal
    Keywords: Seismic anisotropy ; 04.01. Earth Interior
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 6
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    US SOLAS Science Report (2021)
    Woods Hole Oceanographic Institution
    Details
    Publication Date: 2022-05-27
    Description: The Surface Ocean – Lower Atmosphere Study (SOLAS) (http://www.solas-int.org/) is an international research initiative focused on understanding the key biogeochemical-physical interactions and feedbacks between the ocean and atmosphere that are critical elements of climate and global biogeochemical cycles. Following the release of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016), the Ocean-Atmosphere Interaction Committee (OAIC) was formed as a subcommittee of the Ocean Carbon and Biogeochemistry (OCB) Scientific Steering Committee to coordinate US SOLAS efforts and activities, facilitate interactions among atmospheric and ocean scientists, and strengthen US contributions to international SOLAS. In October 2019, with support from OCB, the OAIC convened an open community workshop, Ocean-Atmosphere Interactions: Scoping directions for new research with the goal of fostering new collaborations and identifying knowledge gaps and high-priority science questions to formulate a US SOLAS Science Plan. Based on presentations and discussions at the workshop, the OAIC and workshop participants have developed this US SOLAS Science Plan. The first part of the workshop and this Science Plan were purposefully designed around the five themes of the SOLAS Decadal Science Plan (2015-2025) (Brévière et al., 2016) to provide a common set of research priorities and ensure a more cohesive US contribution to international SOLAS.
    Description: This report was developed with federal support of NSF (OCE-1558412) and NASA (NNX17AB17G).
    Repository Name: Woods Hole Open Access Server
    Type: Working Paper
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  • 7
    Electronic Resource
    Electronic Resource
    Assignment of proton resonances, identification of secondary structural elements, and analysis of backbone chemical shifts for the C102T variant of yeast iso-1-cytochrome c and horse cytochrome c (1990)
    s.l. : American Chemical Society
    Biochemistry 29 (1990), S. 6994-7003 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00482a007
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  • 8
    Electronic Resource
    Electronic Resource
    Comparison of reduced and oxidized yeast iso-1-cytochrome c using proton paramagnetic shifts (1991)
    s.l. : American Chemical Society
    Biochemistry 30 (1991), S. 1928-1934 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00221a028
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  • 9
    Electronic Resource
    Electronic Resource
    Proton nuclear magnetic resonance as a probe of differences in structure between the C102T and F82S,C102T variants of iso-1-cytochrome c from the yeast Saccharomyces cerevisiae (1991)
    s.l. : American Chemical Society
    Biochemistry 30 (1991), S. 7033-7040 
    Details
    ISSN: 1520-4995
    Source: ACS Legacy Archives
    Topics: Biology , Chemistry and Pharmacology
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1021/bi00242a032
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  • 10
    Electronic Resource
    Electronic Resource
    4H Silicon Carbide Etching Using Chlorine Trifluoride Gas (2008)
    s.l. ; Stafa-Zurich, Switzerland
    Materials science forum Vol. 600-603 (Sept. 2008), p. 655-658 
    Details
    ISSN: 1662-9752
    Source: Scientific.Net: Materials Science & Technology / Trans Tech Publications Archiv 1984-2008
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: The etching technology for 4H-silicon carbide (SiC) was studied using ClF3 gas at673-973K, 100 % and atmospheric pressure in a horizontal reactor. The etch rate, greater than 10um/min, can be obtained for both the C-face and Si-face at substrate temperatures higher than 723K. The etch rate increases with the increasing ClF3 gas flow rate. The etch rate of the Si-face issmaller than that of the C-face. The etched surface of the Si-face shows many hexagonal-shapedetch pits. The C-face after the etching is very smooth with a very small number of round shapedshallow pits. The average roughness of the etched surface tends to be small at the highertemperatures
    Type of Medium: Electronic Resource
    URL: http://www.tib-hannover.de/fulltexts/2011/0528/02/20/transtech_doi~10.4028%252Fwww.scientific.net%252FMSF.600-603.655.pdf
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