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Language Technologies for the Challenges of the Digital Age: 27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings

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Book Series: Lecture Notes in Artificial Intelligence ISSN: 0302-9743 ISBN: 9783319737058 9783319737065 Year: Volume: 10713 Pages: 310 DOI: https://doi.org/10.1007/978-3-319-73706-5 Language: English
Publisher: Springer Nature Grant: Bundesministerium für Bildung und Forschung (BMBF)
Subject: Linguistics --- Education --- Technology (General)
Added to DOAB on : 2018-06-29 12:25:05
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This open access volume constitutes the refereed proceedings of the 27th biennial conference of the German Society for Computational Linguistics and Language Technology, GSCL 2017, held in Berlin, Germany, in September 2017, which focused on language technologies for the digital age. The 16 full papers and 10 short papers included in the proceedings were carefully selected from 36 submissions. Topics covered include text processing of the German language, online media and online content, semantics and reasoning, sentiment analysis, and semantic web description languages.

Advances in Near Infrared Spectroscopy and Related Computational Methods

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ISBN: 9783039280520 9783039280537 Year: Pages: 496 DOI: 10.3390/books978-3-03928-053-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Chemistry (General) --- Analytical Chemistry
Added to DOAB on : 2020-01-30 16:39:46
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In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.

Keywords

hyperspectral imaging --- variety discrimination --- Chrysanthemum --- deep convolutional neural network --- DNA --- FTIR spectroscopy --- rapid identification --- PLS-DA --- animal origin --- near-infrared hyperspectral imaging --- raisins --- support vector machine --- pixel-wise --- object-wise --- maize kernel --- hyperspectral imaging technology --- accelerated aging --- principal component analysis --- support vector machine model --- standard germination tests --- blackberries --- Rubus fructicosus --- phenolics --- carotenoids --- bioanalytical applications --- near infrared --- chemometrics --- VIS/NIR hyperspectral imaging --- corn seed --- classification --- freeze-damaged --- image processing --- imaging visualization --- wavelength selection --- NIR spectroscopy --- binary dragonfly algorithm --- ensemble learning --- quantitative analysis modeling --- NIR --- SCiO --- pocket-sized spectrometer --- cheese --- fat --- moisture --- multivariate data analysis --- Fourier-transform near-infrared spectroscopy --- glucose --- fructose --- dry matter --- partial least square regression --- Ewing sarcoma --- Fourier transform infrared spectroscopy --- FTIR --- chemotherapy --- bone cancer --- calibration transfer --- NIR spectroscopy --- PLS --- quantitative analysis model --- melamine --- FT-IR --- NIR spectroscopy --- quantum chemical calculation --- anharmonic calculation --- overtones --- combination bands --- near infrared spectroscopy --- Trichosanthis Fructus --- geographical origin --- chemometric techniques --- crude drugs --- prepared slices --- support vector machine-discriminant analysis --- near-infrared fluorescence --- fluorescent probes --- Zn(II) --- di-(2-picolyl)amine --- living cells --- cellular imaging --- near-infrared (NIR) spectroscopy --- calibration transfer --- affine invariance --- multivariate calibration --- partial least squares (PLS) --- NIR --- direct model transferability --- MicroNIR™ --- SVM --- hier-SVM --- SIMCA --- PLS-DA --- TreeBagger --- PLS --- calibration transfer --- agriculture --- photonics --- imaging --- spectral imaging --- spectroscopy --- handheld near-infrared spectroscopy --- pasta/sauce blends --- partial least squares calibration --- nutritional parameters --- bootstrapping soft shrinkage --- partial least squares --- extra virgin olive oil --- adulteration --- FT-NIR spectroscopy --- near-infrared spectroscopy --- ethanol --- anharmonic quantum mechanical calculations --- isotopic substitution --- overtones --- combinations bands --- seeds vitality --- rice seeds --- near-infrared spectroscopy --- hyperspectral image --- discriminant analysis --- near-infrared spectroscopy --- counter propagation artificial neural network --- detection --- auxiliary diagnosis --- BRAF V600E mutation --- colorectal cancer --- tissue --- paraffin-embedded --- deparaffinized --- stained --- ultra-high performance liquid chromatography --- Folin–Ciocalteu --- total hydroxycinnamic derivatives --- phytoextraction --- near-infrared spectroscopy --- origin traceability --- data fusion --- Paris polyphylla var. yunnanensis --- Fourier transform mid-infrared spectroscopy --- near-infrared spectroscopy --- aquaphotomics --- water --- light --- near infrared spectroscopy --- water-mirror approach --- perturbation --- biomeasurements --- biodiagnosis --- biomonitoring --- Vitis vinifera L. --- proximal sensing --- precision viticulture --- near infrared --- chemometrics --- non-destructive sensor --- NIRS --- osteopathy --- late preterm --- brain --- splanchnic --- Raman spectroscopy --- hyperspectral imaging --- analytical spectroscopy --- counterfeit and substandard pharmaceuticals --- DFT calculations --- chemometrics --- PLSR --- API --- lumefantrine --- artemether --- antimalarial tablets --- FT-NIR spectroscopy --- PLS-R --- water --- glucose --- test set validation --- RMSEP --- hyperspectral image processing --- perfusion measurements --- clinical classifications --- n/a

Empirical Finance

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ISBN: 9783038977063 Year: Pages: 276 DOI: 10.3390/books978-3-03897-707-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Economics
Added to DOAB on : 2019-04-05 10:34:31
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There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.

Keywords

text similarity --- text mining --- machine learning --- SVM --- neural network --- LSTM --- credit risk --- ensemble learning --- deep learning --- bagging --- random forest --- boosting --- deep neural network --- causality-in-variance --- cross-correlation function --- housing and stock markets --- algorithmic trading --- take profit --- stop loss --- MACD --- ATR --- city banks --- dependence structure --- copula --- n/a --- market microstructure --- price discovery --- latency --- currency crisis --- random forests --- wavelet transform --- predictive accuracy --- housing price --- bank credit --- housing loans --- real estate development loans --- TVP-VAR model --- exchange rate --- volatility --- exports --- ARDL --- Vietnam --- crude oil futures prices forecasting --- convolutional neural networks --- short-term forecasting --- utility of international currency --- inertia --- liquidity risk premium --- US dollar --- Japanese yen --- cointegration --- statistical arbitrage --- natural gas --- wholesale electricity --- futures market --- spark spread --- earnings management --- earnings manipulation --- earnings quality --- initial public offering --- IPO --- asset pricing model --- data mining --- bankruptcy prediction --- financial and non-financial variables --- institutional investors’ shareholdings --- panel data model --- piecewise regression model --- global financial crisis --- gold return --- asymmetric dependence --- financial market stress --- robust regression --- quantile regression --- structural break --- flight to quality

Very High Resolution (VHR) Satellite Imagery: Processing and Applications

Authors: ---
ISBN: 9783039217564 9783039217571 Year: Pages: 262 DOI: 10.3390/books978-3-03921-757-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.

Keywords

road extraction --- very high-resolution image --- fast marching method --- semiautomatic --- edge constraint --- beaver mimicry --- beaver dam analogue --- QuickBird --- riparian --- stream restoration --- Worldview --- benthic mapping --- seagrass --- airborne hypespectral imagery --- Worldview-2 --- atmospheric correction --- sunglint correction --- water column correction --- dimensionality reduction techniques --- SVM classification --- linear unmixing --- building detection --- built-up areas extraction --- local feature points --- saliency index --- morphological building index --- Deformable CNN --- Faster R-CNN --- data augmentation --- occluded object detection --- very high-resolution Pléiades imagery --- canopy height model --- acquisition geometry --- forested mountain --- accuracy assessment --- remote sensing imagery --- super-resolution --- ultra-dense connection --- feature distillation --- video satellite --- compensation unit --- urban water mapping --- water index --- shadow detection --- threshold stability --- agriculture parcel segmentation --- superpixels --- consensus --- texture analysis --- multi-resolution segmentation (MRS) --- greenhouse extraction --- over-segmentation index (OSI) --- under-segmentation index (USI) --- error index of total area (ETA) --- composite error index (CEI) --- GaoFen-2 (GF-2) --- synthetic aperture radar --- landslide monitoring --- sub-pixel offset tracking --- Slumgullion landslide --- natural hazards --- large displacements --- remote sensing --- scene classification --- CNN --- capsule --- PrimaryCaps --- CapsNet --- High-resolution satellite imagery --- submesoscale --- spiral eddy --- cyanobacteria --- surface convergence --- western Baltic Sea

Entropy Measures for Data Analysis: Theory, Algorithms and Applications

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ISBN: 9783039280322 9783039280339 Year: Pages: 260 DOI: 10.3390/books978-3-03928-033-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering --- Environmental Engineering
Added to DOAB on : 2020-01-07 09:21:22
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Entropies and entropy-like quantities play an increasing role in modern non-linear data analysis. Fields that benefit from this application range from biosignal analysis to econophysics and engineering. This issue is a collection of papers touching on different aspects of entropy measures in data analysis, as well as theoretical and computational analyses. The relevant topics include the difficulty to achieve adequate application of entropy measures and the acceptable parameter choices for those entropy measures, entropy-based coupling, and similarity analysis, along with the utilization of entropy measures as features in automatic learning and classification. Various real data applications are given.

Keywords

experiment of design --- empirical mode decomposition --- signal analysis --- similarity indices --- synchronization analysis --- auditory attention --- entropy measure --- linear discriminant analysis (LDA) --- support vector machine (SVM) --- auditory attention classifier --- electroencephalography (EEG) --- vague entropy --- distance induced vague entropy --- distance --- complex fuzzy set --- complex vague soft set --- entropy, entropy visualization --- entropy balance equation --- Shannon-type relations --- multivariate analysis --- machine learning evaluation --- data transformation --- sample entropy --- treadmill walking --- center of pressure displacement --- dual-tasking --- analog circuit --- fault diagnosis --- cross wavelet transform --- Tsallis entropy --- parametric t-distributed stochastic neighbor embedding --- support vector machine --- information transfer --- Chinese stock sectors --- effective transfer entropy --- market crash --- system coupling --- cross-visibility graphs --- image entropy --- geodesic distance --- Dempster-Shafer evidence theory --- uncertainty of basic probability assignment --- belief entropy --- plausibility transformation --- weighted Hartley entropy --- Shannon entropy --- learning --- information --- novelty detection --- non-probabilistic entropy --- learning systems --- permutation entropy --- embedded dimension --- short time records --- signal classification --- relevance analysis --- global optimization --- meta-heuristic --- firefly algorithm --- cross-entropy method --- co-evolution --- symbolic analysis --- ordinal patterns --- Permutation entropy --- conditional entropy of ordinal patterns --- Kolmogorov-Sinai entropy --- algorithmic complexity --- information entropy --- particle size distribution --- selfsimilar measure --- simulation --- data analysis --- entropy --- entropy measures --- automatic learning

Structural Prognostics and Health Management in Power & Energy Systems

Authors: --- --- --- --- et al.
ISBN: 9783039217663 9783039217670 Year: Pages: 218 DOI: 10.3390/books978-3-03921-767-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Philosophy
Added to DOAB on : 2020-01-30 16:39:46
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The idea of preparing an Energies Special Issue on “Structural Prognostics and Health Management in Power & Energy Systems” is to compile information on the recent advances in structural prognostics and health management (SPHM). Continued improvements on SPHM have been made possible through advanced signature analysis, performance degradation assessment, as well as accurate modeling of failure mechanisms by introducing advanced mathematical approaches/tools. Through combining deterministic and probabilistic modeling techniques, research on SPHM can provide assurance for new structures at a design stage and ensure construction integrity at a fabrication phase. Specifically, power and energy system failures occur under multiple sources of uncertainty/variability resulting from load variations in usage, material properties, geometry variations within tolerances, and other uncontrolled variations. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on SPHM are desired and expected, which attempt to prevent overdesign and unnecessary inspection and provide tools to enable a balance between safety and economy to be achieved. This Special Issue has attracted submissions from China, USA, Portugal, and Italy. A total of 26 submissions were received and 11 articles finally published.

Keywords

prognostics --- residual useful life --- similarity-based approach --- supporting vector machine (SVM) --- reliability --- non-probabilistic reliability index --- sensitivity analysis --- techno-economic assessments --- life cycle cost --- vibration transmission mechanism --- underground powerhouse --- lateral-river vibration --- low frequency tail fluctuation --- rotation of hydraulic generator --- vertical axis wind turbine --- structural health monitoring --- operational modal analysis --- stochastic subspace identification --- vibration test --- offshore structures --- oil and gas platforms --- offshore wind turbines --- retrofitting activities --- renewable energy --- dynamic analysis --- wind and wave analysis --- dynamic analysis of the structure --- wave–structure interaction (WSI) --- probabilistic analyses of stochastic processes and frequency --- data-driven --- machine learning --- deep learning --- DNN --- prognostic and Health Management --- lithium-ion battery --- wind turbines --- health monitoring --- fault detection --- optimized deep belief networks --- supervisory control and data acquisition system --- multioperation condition --- wind turbine blade --- full-scale static test --- neural networks --- strain prediction --- dynamic fuzzy reliability analysis --- extremum surface response method --- weighted regression --- turbine blisk --- fuzzy safety criterion --- lithium-ion battery --- remaining useful life --- regeneration phenomenon --- wavelet decomposition --- NAR neural network --- empirical mode decomposition --- analysis mode decomposition --- analysis-empirical mode decomposition --- mode mixing --- sifting stop criterion

Ten Years of TerraSAR-X—Scientific Results

Authors: --- ---
ISBN: 9783038977247 9783038977254 Year: Pages: 422 DOI: 10.3390/books978-3-03897-725-4 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General)
Added to DOAB on : 2019-04-25 16:37:17
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This Special Issue is a collection of papers addressing the scientific use of data acquired in the course of the TerraSAR-X mission 10 years after launch. The articles deal with the mission itself, the accuracy of the products, with differential interferometry, and with applications in the domains cryosphere, oceans, wetlands, and urban areas.

Keywords

synthetic aperture radar --- TerraSAR-X --- geolocation --- absolute localization accuracy --- stereo sar --- imaging geodesy --- TerraSAR-X --- internal calibration --- geometric and radiometric calibration --- antenna model verification --- antenna pointing determination --- radiometric accuracy --- calibration targets --- long term performance monitoring --- TerraSAR-X --- TanDEM-X --- LEO --- POD --- SLR --- SAR --- Satellite Laser Ranging --- radar ranging --- satellite orbit --- validation --- InSAR coherence --- NDVI --- damage assessment --- density map --- tsunami --- earthquake --- GIS --- TSX Staring spotlight --- high resolution InSAR --- small-scale movements --- atmospheric phase --- layover --- DSM blending --- SAR --- internal waves --- Andaman Sea --- radar --- satellite --- remote sensing --- SAR --- TerraSAR-X --- operations --- ground segment --- orbit --- mission --- global --- urban footprint --- processing --- validation --- community survey --- sustainability --- synthetic aperture radar --- X-band --- marine --- estuarine --- lacustrine --- riverine --- palustrine --- time-series --- SAR applications --- vegetation --- remote sensing data --- DInSAR --- landslide monitoring --- PSI --- super high-spatial resolution TerraSAR-X images --- pixel selection --- measurement pixels’ density --- synthetic aperture radar --- PolSAR --- TerraSAR-X --- surface water monitoring --- flooded vegetation --- classification --- segmentation --- InSAR --- landslide --- phase unwrapping --- phase demodulation --- TerraSAR-X --- RADARSAT-2 --- ALOS-1 --- ERS --- synthetic aperture radar --- TerraSAR-X --- habitat mapping --- monitoring --- remote sensing --- Wadden Sea --- mussel beds --- intertidal bedforms --- tidal gullies --- remote sensing --- film slicks on the sea surface --- dual co-polarized microwave radar --- surface wind waves --- wave breaking --- Snow Cover Extent (SCE) --- TerraSAR-X --- Landsat --- wet snow --- small Arctic catchments --- satellite time series --- TerraSAR-X --- synthetic aperture radar (SAR), radar mission --- remote sensing --- land subsidence --- TerraSAR-X --- SAR interferometry --- coastal environments --- Venice lagoon --- multi-baseline --- multi-pass --- PS --- DS --- geodetic --- TomoSAR --- D-TomoSAR --- PSI --- robust estimation --- covariance matrix --- InSAR --- SAR --- review --- SAR --- SAR interferometry --- atmospheric propagation delay --- persistent scatterer interferometry --- numerical weather prediction --- stratified atmospheric delay --- zenith path delay --- slant path delay --- interferometry --- surface movement monitoring --- ground control points --- radargrammetry --- automated target recognition --- convolutional neural networks (CNN), deep CNN --- support vector machine --- SVM --- synthetic aperture radar --- TerraSAR-X --- SAR interferometry --- land subsidence --- precise orbit determination --- geometric and radiometric calibration --- PSI

Human Health Engineering

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ISBN: 9783039284085 9783039284092 Year: Pages: 428 DOI: 10.3390/books978-3-03928-409-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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In this Special Issue on human health engineering, we invited submissions exploring recent contributions to the field of human health engineering, which is the technology used for monitoring the physical or mental health status of individuals in a variety of applications. Contributions focused on sensors, wearable hardware, algorithms, or integrated monitoring systems. We organized the different papers according to their contributions to the main aspects of the monitoring and control engineering scheme applied to human health applications, including papers focusing on measuring/sensing physiological variables, contributions describing research on the modelling of biological signals, papers highlighting health monitoring applications, and finally examples of control applications for human health. In comparison to biomedical engineering, the field of human health engineering also covers applications on healthy humans (e.g., sports, sleep, and stress) and thus not only contributes to develop technology for curing patients or supporting chronically ill people, but also more generally for disease prevention and optimizing human well-being.

Keywords

artefact correction --- head-shaped phantom --- spherical phantom --- gradient artefact --- simultaneous EEG–fMRI --- calcaneal spur --- pain minimum compressive pressure --- contour of shoe insole --- insole foot area --- health information --- interface formats --- older adults --- wearable devices --- usability --- emotional reaction --- ADHD --- screening --- machine learning --- SVM --- children --- novel --- nomophobia --- anxiety --- smartphone --- internet --- cyberaddiction --- new technologies --- chronic obstructive pulmonary disease --- COPD --- oxygen uptake --- VO2 --- kinetics --- exercise testing --- rehabilitation robotics --- soft walking assistive robot --- long-term effect --- gait characteristics --- elderly person --- blood pressure estimation --- photoplethysmogram --- pulse wave --- pulse oximeter --- wearable device --- Kano-TRIZ design theory --- quality function deployment --- four-wheeled rollator --- model predictive control --- orthosis control --- muscle modeling --- arm --- Hill muscle --- swarm optimization --- pneumatic artificial muscle --- sliding mode control --- fractional calculus --- antagonistic actuator --- weight loss --- mHealth --- dynamic model --- adaptive control --- spirometry --- airflow limitation --- airway resistance --- specific airway conductance --- COPD --- body-plethysmography --- forced expiration --- alveolar pressure --- emphysema --- computed tomography --- air-trapping --- thermal comfort --- bicycle helmet --- smart wearables --- adaptive model --- streaming data --- thermal sensation --- adaptive model --- personalized model --- machine leaning --- support-vector-machine --- adaptive control --- streaming algorithm --- thermoregulation --- homeostasis --- cold-induced-vasodilation --- cold-induced-vasoconstriction --- control system --- dynamic modelling --- powered mobility --- dyskinetic cerebral palsy --- dystonia --- choreoathetosis --- mobility scale --- movement disorder --- children --- youth --- reliability --- validity --- feature engineering --- intensive care unit --- mortality prediction --- hard-margin support vector machines --- driver drowsiness --- thermoregulation --- distal skin temperature --- decision tree --- heart model --- Van der Pol --- FitzHugh–Nagumo --- relaxation oscillator --- electrocardiographic signal --- bicycle helmets --- thermal manikin --- convective and evaporative heat loss --- zonal performance characteristics --- freestyle skiing aerials --- knee joint --- ligament --- finite element simulation --- lifting technique --- stoop --- squat --- work-related musculoskeletal disorders --- musculoskeletal modeling --- spine --- shoulder --- back loading --- harmonization --- meta-analysis --- missing data --- multiple imputations --- information technology --- remoteness --- cohort studies --- control parameter reference --- stance assistance --- magnetorheological brake --- body mass index --- walking speed --- ankle torque --- ankle angular velocity --- n/a

Power Electronics in Renewable Energy Systems

Authors: ---
ISBN: 9783039210442 9783039210459 Year: Pages: 604 DOI: 10.3390/books978-3-03921-045-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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This book offers a collection of 30 scientific papers which address the problems associated with the use of power electronic converters in renewable energy source-based systems. Relevant problems associated with the use of power electronic converters to integrate renewable energy systems to the power grid are presented. Some of the covered topics relate to the integration of photovoltaic and wind energy generators into the rest of the system, and to the use of energy storage to mitigate power fluctuations, which are a characteristic of renewable energy systems. The book provides a good overview of the abovementioned topics.

Keywords

modular multilevel converter --- battery energy storage system --- state-of-charge balancing --- second-life battery --- multi-energy complementary --- microgrid --- demand response --- operation optimization --- electricity price --- peak-current-mode control --- dynamic modeling --- duty-ratio constraints --- discontinuous conduction mode --- FACTS devices --- active power filter --- static compensator --- control strategies --- grid-connected converter --- SPWM --- SVM --- maximum power point tracking --- open circuit voltage --- perturb and observe --- thermoelectric generator --- two-stage photovoltaic power --- virtual synchronous generator --- adaptive-MPPT (maximum power point tracking) --- improved-VSG (virtual synchronous generator) --- power matching --- failure zone --- governor --- frequency regulation --- inverter --- voltage-type control --- static frequency characteristics --- grid-connected converter --- adaptive resonant controller --- PLL --- impedance analysis --- distorted grid --- digital signal processor (DSP) TMS320F28335 --- grid-connected inverter --- internal model --- linear quadratic regulator --- LCL filter --- photovoltaic systems --- multilevel power converter --- soft switching --- selective harmonic mitigation --- phase shifted --- voltage cancellation --- adaptive control --- sliding mode control --- speed control --- wind energy system --- microgrid (MG) --- droop control --- washout filter --- hardware in the loop (HIL) --- active front-end converter --- back-to-back converter --- permanent magnet synchronous generator (PMSG) --- THD --- type-4 wind turbine --- wind energy system --- Opal-RT Technologies® --- synchronization --- adaptive notch filter (ANF) --- phase-locked loop (PLL) --- wind power prediction --- phase space reconstruction --- multivariate linear regression --- cloud computing --- time series --- multiple VSGs --- oscillation mitigation --- coordinated control --- small-signal and transient stability --- coordination control --- energy storage --- grid support function --- inertia --- photovoltaic --- virtual synchronous generator --- weak grid --- parallel inverters --- oscillation suppression --- notch filter --- impedance reshaping --- boost converter --- peak-current-mode control --- dynamic modeling --- discontinuous operation mode --- doubly-fed induction generator --- short-circuit fault --- frequency regulation --- variable power tracking control --- improved additional frequency control --- variable coefficient regulation --- inertia and damping characteristics --- generator speed control --- electrical power generation --- turbine and generator --- grid-connected converter --- organic Rankine cycle --- renewable energy --- multiport converter (MPC) --- single ended primary inductor converter (SEPIC) --- multi-input single output (MISO) --- renewable power system --- coupled oscillators --- virtual impedance --- synchronization --- power converters --- droop control --- virtual admittance --- distributed generation --- energy --- renewable energy --- microgrids --- Energy Internet --- energy router --- microgrid --- electric vehicle --- PV --- battery-energy storage --- DC-AC power converters --- impedance emulation --- stability analysis --- power-hardware-in- the-loop --- photovoltaic generators --- maximum power point tracking --- step size --- perturbation frequency --- source and load impedance --- transient dynamics --- stability --- grid synchronization --- power electronics --- power grid --- inverter --- grid-connected --- microgrid --- experiment --- modules --- synchronverter --- power ripple elimination --- resonant controller --- unbalanced power grid --- ROCOF --- PLL --- error --- low inertia --- VSC --- n/a

Visual Sensors

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ISBN: 9783039283385 9783039283392 Year: Pages: 738 DOI: 10.3390/books978-3-03928-339-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-04-07 23:07:09
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Visual sensors are able to capture a large quantity of information from the environment around them. A wide variety of visual systems can be found, from the classical monocular systems to omnidirectional, RGB-D, and more sophisticated 3D systems. Every configuration presents some specific characteristics that make them useful for solving different problems. Their range of applications is wide and varied, including robotics, industry, agriculture, quality control, visual inspection, surveillance, autonomous driving, and navigation aid systems. In this book, several problems that employ visual sensors are presented. Among them, we highlight visual SLAM, image retrieval, manipulation, calibration, object recognition, navigation, etc.

Keywords

3D reconstruction --- RGB-D sensor --- non-rigid reconstruction --- pedestrian detection --- boosted decision tree --- scale invariance --- receptive field correspondence --- soft decision tree --- single-shot 3D shape measurement --- digital image correlation --- warp function --- inverse compositional Gauss-Newton algorithm --- UAV image --- dynamic programming --- seam-line --- optical flow --- image mosaic --- iris recognition --- presentation attack detection --- convolutional neural network --- support vector machines --- content-based image retrieval --- textile retrieval --- textile localization --- texture retrieval --- texture description --- visual sensors --- iris recognition --- iris segmentation --- semantic segmentation --- convolutional neural network (CNN) --- visible light and near-infrared light camera sensors --- laser sensor --- line scan camera --- lane marking detection --- support vector machine (SVM) --- image binarization --- lane marking reconstruction --- automated design --- vision system --- FOV --- illumination --- recognition algorithm --- action localization --- action segmentation --- 3D ConvNets --- LSTM --- visual sensors --- image retrieval --- hybrid histogram descriptor --- perceptually uniform histogram --- motif co-occurrence histogram --- omnidirectional imaging --- visual localization --- catadioptric sensor --- visual information fusion --- image processing --- underwater imaging --- embedded systems --- stereo vision --- visual odometry --- 3D reconstruction --- handshape recognition --- sign language --- finger alphabet --- skeletal data --- visual odometry --- ego-motion estimation --- stereo --- RGB-D --- mobile robots --- around view monitor (AVM) system --- automatic calibration --- lane marking --- parking assist system --- advanced driver assistance system (ADAS) --- pose estimation --- symmetry axis --- point cloud --- sweet pepper --- semantic mapping --- RGB-D SLAM --- visual mapping --- indoor visual SLAM --- adaptive model --- motion estimation --- stereo camera --- person re-identification --- end-to-end architecture --- appearance-temporal features --- Siamese network --- pivotal frames --- visual tracking --- correlation filters --- motion-aware --- adaptive update strategy --- confidence response map --- camera calibration --- Gray code --- checkerboard --- visual sensor --- image retrieval --- human visual system --- local parallel cross pattern --- pose estimation --- straight wing aircraft --- structure extraction --- consistent line clustering --- parallel line --- planes intersection --- salient region detection --- appearance based model --- regression based model --- human visual attention --- background dictionary --- quality control --- fringe projection profilometry --- depth image registration --- 3D reconstruction --- speed measurement --- stereo-vision --- large field of view --- vibration --- calibration --- CLOSIB --- statistical information of gray-levels differences --- Local Binary Patterns --- texture classification --- texture description --- Visual Sensors --- SLAM --- RGB-D --- indoor environment --- Manhattan frame estimation --- orientation relevance --- spatial transformation --- robotic welding --- seam tracking --- visual detection --- narrow butt joint --- GTAW --- LRF --- camera calibration --- extrinsic calibration --- sensors combination --- geometric moments --- camera pose --- rotation-angle --- measurement error --- robotics --- robot manipulation --- depth vision --- star image prediction --- star sensor --- Richardson-Lucy algorithm --- neural network --- tightly-coupled VIO --- SLAM --- fused point and line feature matching --- pose estimates --- simplified initialization strategy --- patrol robot --- map representation --- vision-guided robotic grasping --- object recognition --- pose estimation --- global feature descriptor --- iterative closest point --- n/a

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