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Deep Neural Network Driven Automated Underwater Object Detection

Computers, Materials & Continua 2022年第3期70卷 5251-5267页

作者： Ajisha mathias Samiappan Dhanalakshmi R.Kumar R.Narayanamoorthi Department of Electronics and Communication Engineering SRMInstitute of Science and TechnologyKattankulathurChennai603203India Department of Electrical and Electronics Engineering SRMInstitute of Science and TechnologyKattankulathurChennai603203India

Object recognition and computer vision techniques for automated object identification are attracting marine biologist’s interest as a quicker and easier tool for estimating the fish abundance in marine ***,the biggest problem posed by unrestricted aquatic imaging is low luminance,turbidity,background ambiguity,and context camouflage,which make traditional approaches rely on their efficiency due to inaccurate detection or elevated false-positive *** address these challenges,we suggest a systemic approach to merge visual features and Gaussian mixture models with You Only Look Once(YOLOv3)deep network,a coherent strategy for recognizing fish in challenging underwater *** an image restoration phase,pre-processing based on diffraction correction is primarily applied to *** YOLOv3 based object recognition system is used to identify fish *** objects in the background that are camouflaged are often overlooked by the YOLOv3 model.A proposed Bi-dimensional Empirical Mode Decomposition(BEMD)algorithm,adapted by Gaussian mixture models,and integrating the results of YOLOv3 improves detection efficiency of the proposed automated underwater object detection *** proposed approach was tested on four challenging video datasets,the Life Cross Language Evaluation Forum(CLEF)benchmark from the F4K data repository,the University of Western Australia(UWA)dataset,the bubble vision dataset and theDeepFish *** accuracy for fish identification is 98.5 percent,96.77 percent,97.99 percent and 95.3 percent respectively for the various datasets which demonstrate the feasibility of our proposed automated underwater object detection method.

关键词： Underwater images diffraction correction marine object recognition gaussian mixture model image restoration YOLO

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Genetic variation at the p53 locus of two ecologically divergent Microtus pine voles:identification of molecular markers for species assignment

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Integrative Zoology 2022年第6期17卷 1179-1192页

作者： Ana Sofia QUINA João Paulo TAVANEZ Maria da Luz mathias CESAM-Centro de Estudos do Ambiente e do Mar Departamento de BiologiaUniversidade de AveiroAveiroPortugal CESAM-Centro de Estudos do Ambiente e do Mar Faculdade de CiênciasUniversidade de LisboaLisboaPortugal Departamento de Biologia Animal Faculdade de CiênciasUniversidade de LisboaLisboaPortugal Global Health and Tropical Medicine(GHTM) Instituto de Higiene e Medicina Tropical(IHMT)Universidade NOVA de Lisboa(UNL)Portugal

The Lusitanian(Microtus lusitanicus)and the Mediterranean(Microtus duodecimcostatus)pine voles are recently diverged sister species endemic of the Iberian Peninsula that can be identiﬁed with ecological and morphological characters,but in areas where the 2 species co-occur,species designation may be difﬁ*** discrimination between *** and *** has not been achieved yet possibly because of their estimated re-cent split and an evolutionary history that includes inter-species geneﬂ*** our previous observations on exons 5–7 of the p53 gene,here we analyze the potential use of the p53 genomic region as a discrimination marker of these species by extending our analyses to several kb upstream and downstream of the p53 gene and charac-terizing the degree of genetic differentiation in 7 markers within this ***,we fully sequenced the P53 protein of both *** observed:(i)generally high differentiation in this region;(ii)*** showed in general higher values of nucleotide and haplotype diversities;(iii)the concatenated phylogenetic tree separates the 2 species;(iv)the 2 P53 proteins only differ in 1 amino acid;(v)4 of the markers,2 in p53,one in Atp1b2,and another in Wrap53,contain species-speciﬁc genetic variation thus allowing a reliable discrimination between specimens from both species,irrespective of sampling location or introgression *** provide ad-ditional data on the putative role of p53 in the evolution of these species and present researchers with a fast and cost-effective resource for *** and *** identiﬁcation.

关键词： ecological stress genetic variation Microtus molecular marker p53

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Hybrid component and configuration model for combined-cycle units in unit commitment problem

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Journal of Modern Power Systems and Clean Energy 2018年第6期6卷 1332-1337页

作者： Xin FANG Linquan BAI Fangxing LI Bri-mathias HODGE National Renewable Energy Laboratory ABB Inc. Department of EECS The University of Tennessee

This letter proposes a novel hybrid component and configuration model for combined-cycle gas turbines(CCGTs) participating in independent system operator(ISO) markets. The proposed model overcomes the inaccuracy issues in the current configuration-based model while retaining its simple and flexible bidding framework of configuration-based models. The physical limitations—such as minimum online/offline time and ramping rates—are modeled for each component separately, and the cost is calculated with the bidding curves from the configuration modes. This hybrid mode can represent the current dominant bidding model in the unit commitment problem of ISOs while treating the individual components in CCGTs accurately. The commitment status of the individual components is mapped to the unique configuration mode of the CCGTs. The transitions from one configuration mode to another are also modeled. No additional binary variables are added, and numerical case studies demonstrate the effectiveness of this model for CCGT units in the unit commitment problem.

关键词： Combined-cycle gas turbines(CCGTs) Unit commitment Component-based model Configurationbased model

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Targeted nanoparticles for the non-invasive detection of traumatic brain injury by optical imaging and fluorine magnetic resonance imaging

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Nano Research 2016年第5期9卷 1276-1289页

作者： Luis Javier Cruz Ivo Que Markus Aswendt Alan Chan mathias Hoehn Clemens Lowik Nanomedicine and Molecular Imaging Department of Radiology Leiden University Medical Center 2333ZA Leiden the Netherlands In-Vivo-NMR Laboratory Max Planck Institute for Neurological Research Cologne D-50931 Cologne Germany Percuros 7522NB Enschede the Netherlands

Necrosis is a form of cell death that occurs only under pathological conditions such as ischemic diseases and traumatic brain injury （TBI）. Non-invasive imaging of the affected tissue is a key component of novel therapeutic interventions and measurement of treatment responses in patients. Here, we report a bimodal approach for the detection and monitoring of TBI. PEGylated poly（lactic-coglycolic acid）（PLGA） nanoparticles （NPs）, encapsulating both near infrared （NIR） fluorophores and perfluorocarbons （PFCs）, were targeted to necrotic ceils. We used cyanine dyes such as IRDye 800CW, for which we have previously demonstrated specific targeting to intracellular proteins of cells that have lost membrane integrity. Here, we show specific in vivo detection of necrosis by optical imaging and fluorine magnetic resonance imaging （^19F MRI） using newly designed PLGA NP（NIR700 ＋ PFC）-PEG-800CW. Quantitative ex vivo optical imaging and ^19F MR spectroscopy of NIR-PFC content in injured brain regions and in major organs were well correlated. Both modalities allowed the in vivo identification of necrotic brain lesions in a mouse model of TBI, with optical imaging being more sensitive than ^19F MRI. Our results confirm increased blood pool residence time of PLGA NPs coated with a PEG layer and the successful targeting of TBI-damaged tissue. A single PLGA NP containing NIR-PFC enables both rapid qualitative optical monitoring of the TBI state and quantitative 3D information from deeper tissues on the extent of the lesion by MRI. These necrosis-targeting PLGA NPs can potentially be used for clinical diagnosis of brain injuries.

关键词： imaging nanoparticles contrast agents magnetic resonance imaging brain injury stroke

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An introduction to multivariate probabilistic forecast evaluation

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能源与人工智能(英文) 2021年第2期4卷 119-135页

作者： mathias Blicher Bjerregard Jan Kloppenborg Møller Henrik Madsen Technical University of Denmark Department of Applied Mathematics and Computer Denmark

Probabilistic forecasting is becoming increasingly important for a wide range of applications,especially for en-ergy systems such as forecasting wind power production.A need for proper evaluation of probabilistic forecasts follows naturally with this,because evaluation is the key to improving the *** plenty of excellent reviews and research papers on probabilistic forecast evaluation already exist,we find that there is a need for an introduction with some practical *** particular,many forecast scenarios in energy systems are inher-ently multivariate,and while univariate evaluation methods are well understood and documented,only limited and scattered work has been done on their multivariate *** paper therefore contains a review of a selected set of probabilistic forecast evaluation methods,primarily scoring rules,as well as practical sections that explain how these methods can be calculated and *** three case studies featuring simple autore-gressive models,stochastic differential equations and real wind power data,we implement,apply and discuss the logarithmic score,the continuous ranked probability score and the variogram score for forecasting problems of varying ***,the advantages and disadvantages of the three scoring rules are highlighted,and this provides a significant step towards deciding on an evaluation method for a given multivariate forecast scenario including forecast scenarios relevant for energy systems.

关键词： Probabilistic forecast evaluation Multivariate scoring rules Wind power forecast Ensemble forecast Time series analysis

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Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty

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Journal of Modern Power Systems and Clean Energy 2019年第3期7卷 658-664页

作者： Xin FANG Bri-mathias HODGE Fangxing LI Ershun DU Chongqing KANG National Renewable Energy Laboratory GoldenCO80401USA Department of Electrical Engineering and Computer Science The University of TennesseeKnoxvilleTN37996USA State Key Laboratory of Power Systems Department of Electrical EngineeringTsinghua UniversityBeijing100084China

This paper proposes an adjustable and distributionally robust chance-constrained(ADRCC) optimal power flow(OPF) model for economic dispatch considering wind power forecasting uncertainty. The proposed ADRCC-OPF model is distributionally robust because the uncertainties of the wind power forecasting are represented only by their first-and second-order moments instead of a specific distribution assumption. The proposed model is adjustable because it is formulated as a second-order cone programming(SOCP) model with an adjustable *** coefficient can control the robustness of the chance constraints, which may be set up for the Gaussian distribution, symmetrically distributional robustness, or distributionally robust cases considering wind forecasting uncertainty. The conservativeness of the ADRCC-OPF model is analyzed and compared with the actual distribution data of wind forecasting error. The system operators can choose an appropriate adjustable coefficient to tradeoff between the economics and system security.

关键词： Economic dispatch Adjustable and distributionally robust chance-constrained(ADRCC) optimization Wind power forecasting Uncertainty

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Optimal parameter selection for qualitative regional erosion risk monitoring:A remote sensing study of SE Ethiopia

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Geoscience Frontiers 2011年第2期2卷 237-245页

作者： Moncef Bouaziz mathias Leidig Richard Gloaguen Remote Sensing Group Institut für GeologieTU Bergakademie FreibergBernhard-von-Cotta Strasse 2D-09596 FreibergGermany Laboratoire 3E(AD-10-02) Ecole National d'Ingenieurs de SfaxBP3038 SfaxTunisia School of Earth and Environmental Science University of PortsmouthBurnaby RoadPortsmouth PO13QLUnited Kingdom

Arid and semi-arid regions are susceptible to high levels of erosion. A rapid and cost effective methodological erosion assessment for these regions is required to describe and monitor the processes that control erosion. This study uses remote sensing to describe the contribution of several factors that control erosion. Topography, land use, vegetation density, soil properties and climatic proxies are used to determine erosion risk and to provide basic maps of water and soil conservation practices. A hierarchical decision tree is used to sum and combine the weight of parameters controlling the erosion. The assigned weights of each spatial unit express the susceptibility to erosion. We focus on the catchment basin of the Maleka Wakena reservoir, located in the southeastern portion of the main Ethiopian Rift, where erosion is the major environmental problem. Three different combinations of the dominant controlling factors are yielded in this study. In order to optimize the qualitative erosion risk assessment, each combination is discussed and evaluated depending on the contribution of parameters involved in the erosion process.

关键词： Erosion risk Remote sensing Modeling Geographic informationsystem (GIS) Ethiopia

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A discrete contact model for complex arbitrary-shaped convex geometries

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Particuology 2023年第9期80卷 180-191页

作者： Jan E.Marquardt Ulrich J.Römer Hermann Nirschl mathias J.Krause Lattice Boltzmann Research Group Karlsruhe Institute of TechnologyStraße am Forum 8Karlsruhe76131Germany Institute for Mechanical Process Engineering and Mechanics Karlsruhe Institute of TechnologyStraße am Forum 8Karlsruhe76131Germany Institute of Engineering Mechanics Karlsruhe Institute of TechnologyKaiserstraße 10Karlsruhe76131Germany Institute for Applied and Numerical Mathematics Karlsruhe Institute of TechnologyEnglerstraße 2Karlsruhe76131Germany

The shape of particles has a significant influence on the behavior of suspensions,as the particle-fluid,particle-particle,and particle-wall interactions depend on ***,the simultaneous consideration of complex particle shapes and four-way coupling remains a major *** is mainly due to a lack of suitable contact *** models for complex shapes have been proposed in literature,and most limit the accuracy of the particle-fluid *** this reason,this paper presents a novel contact model for complex convex particle shapes for use with partially saturated methods,in which we propose to obtain necessary contact properties,such as the indentation depth,by a discretization of the contact *** goal of the proposed model is to enable comprehensive and accurate studies of particulate flows,especially with high volume fractions,that lead to new insights and contribute to the improvement of existing industrial *** ensure correctness and sustainability,we validate the model extensively by studying cases with and without *** the latter case,we use the homogenized lattice Boltzmann *** provided investigations show a great agreement of the proposed discrete contact model with analytical solutions and the literature.

关键词： Partially saturated cells method Homogenized lattice Boltzmann method Arbitrarily shaped particle Discrete contact model Particle-resolved simulation OpenLB

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Density functional theory calculation of the properties of carbon vacancy defects in silicon carbide

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Nanotechnology and Precision Engineering 2020年第4期3卷 211-217页

作者： XiuhongWang Junlei Zhao Zongwei Xu Flyura Djurabekova mathias Rommel Ying Song Fengzhou Fanga State Key Laboratory of Precision Measuring Technology&Instruments Centre of MicroNano Manufacturing TechnologyTianjin UniversityTianjin 300072China Department of Physics and Helsinki Institute of Physics University of HelsinkiP.O.Box 43FI-00014 HelsinkiFinland Department of Electrical and Electronic Engineering Southern University of Science and TechnologyShenzhen 518055China Fraunhofer Institute for Integrated Systems and Device Technology IISB Schottkystrasse 1091058 ErlangenGermany

As a promisingmaterial for quantumtechnology,silicon carbide(SiC)has attracted great interest inmaterials *** vacancy is a dominant defect in ***,understanding the properties of this defect is critical to its application,and the atomic and electronic structures of the defects needs to be *** this study,density functional theorywas used to characterize the carbon vacancy defects in hexagonal(h)and cubic(k)lattice *** zero-phonon line energies,hyperfine tensors,and formation energies of carbon vacancies with different charge states(2−,−,0,+and 2+)in different supercells(72,128,400 and 576 atoms)were calculated using standard Perdew-Burke-Ernzerhof and Heyd-Scuseria-Ernzerhof *** show that the zero-phonon line energies of carbon vacancy defects are much lower than those of divacancy defects,indicating that the former is more likely to reach the excited state than the *** hyperfine tensors of VC+(h)and VC+(k)were *** of the calculated hyperfine tensor with the experimental results indicates the existence of carbon vacancies in SiC *** calculation of formation energy shows that the most stable carbon vacancy defects in the material are VC 2+(k),VC+(k),VC(k),VC−(k)and VC 2−(k)as the electronic chemical potential increases.

关键词： Density functional theory Silicon carbide Carbon vacancy

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Surface oxidation of Ni-cermet electrodes by CO_(2) and H_(2)O and how to moderate it

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Journal of Energy Chemistry 2022年第4期31卷 300-308页

作者： Dingkai Chen mathias Barreau Thierry Dintzer Sylwia Turczyniak-Surdacka Fabrice Bournel Jean-Jacques Gallet Spyridon Zafeiratos Institut de Chimie et Procédés pour l’Energie l’Environnement et la SantéUMR 7515 CNRS-UdS25 Rue Becquerel67087 StrasbourgFrance Faculty of Chemistry Biological and Chemical Research CentreUniversity of WarsawŻwirki i Wigury 10102-089 WarsawPoland Faculty of Chemistry University of WarsawPasteura 102-093Poland Laboratoire de Chimie Physique-Matière et Rayonnement Sorbonne UniversitéCampus CurieCNRS UMR 76144 place Jussieu75005 ParisFrance Synchrotron SOLEIL L’orme des MerisiersB.P.48Saint AubinGif-sur-Yvette Cedex 91192France

The oxidation of porous Ni-yttria-stabilized zirconia(YSZ)and Ni-gadolinia-doped ceria(GDC)ceramicmetal(cermet)electrodes in H_(2)O and CO_(2)atmospheres was studied by near-ambient pressure X-ray photoelectron spectroscopy(NAP-XPS).We show that the oxidation of nickel by the two gases is not similar,as is commonly believed,but it depends on the ceramic *** is vulnerable to oxidation in H_(2)O but it resists to CO_(2)in Ni-GDC,as compared to the Ni-YSZ *** by this observation we conceptualize and fabricate Ni-YSZ electrodes modified by ceria nanoparticles,which show significantly higher resistance to CO_(2)oxidation as compared with conventional Ni-YSZ *** preparation of tailormade cermet electrodes with identical bulk/mechanical characteristics but very different surface properties offers a promising fabrication strategy for high-performance and durability solid oxide electrolysis cells for CO_(2)conversion.

关键词： NAP-XPS CO_(2)electrolysis Nickel oxidation Solid oxide cells Ceria nanoparticles

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