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In recent years, the global climate has become variable due to intensification of the greenhouse effect, and natural disasters are frequently occurring, which poses challenges to the situation awareness of intelligent distribution networks. Aside from the continuous grid connection of distributed generation, energy storage and new energy generation not only reduces the power supply pressure of distribution network to a certain extent but also brings new consumption pressure and load impact. Situation awareness is a technology based on the overall dynamic insight of environment and covering perception, understanding, and prediction. Such means have been widely used in security, intelligence, justice, intelligent transportation, and other fields and gradually become the research direction of digitization and informatization in the future. We hope this Special Issue represents a useful contribution. We present 10 interesting papers that cover a wide range of topics all focused on problems and solutions related to situation awareness for smart distribution systems. We sincerely hope the papers included in this Special Issue will inspire more researchers to further develop situation awareness for smart distribution systems. We strongly believe that there is a need for more work to be carried out, and we hope this issue provides a useful open-access platform for the dissemination of new ideas.

Technology: general issues --- History of engineering & technology --- community integrated energy system --- energy management --- user dominated demand side response --- conditional value-at-risk --- electric heating --- load forecasting --- thermal comfort --- attention mechanism --- LSTM neural network --- smart distribution network --- situation awareness --- high-quality operation and maintenance --- critical technology --- comprehensive framework --- distributionally robust optimization (DRO) --- integrated energy system (IES) --- joint chance constraints --- linear decision rules (LDRs) --- Wasserstein distance --- load disaggregation --- denoising auto-encoder --- REDD dataset --- TraceBase dataset --- machine learning --- secondary equipment --- CNN --- short text classification --- electric vehicle --- short-term load forecasting --- convolutional neural network --- temporal convolutional network --- climate factors --- correlation analysis --- sustainable wind-PV-hydrogen-storage microgrid --- power-to-hydrogen --- receding horizon optimization --- storage --- photovoltaic (PV) system --- DC series arc fault --- power spectrum estimation --- attentional mechanism --- lightweight convolutional neural network --- capacity configuration --- wind-photovoltaic-thermal power system --- carbon emission --- multi-objective optimization --- inertia security region --- n/a

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Big data en AI hebben de afgelopen twintig jaar verschillende domeinen een gigantische voorsprong gegeven. Grote techspelers zoals Amazon, Google en Facebook bewijzen de enorme impact van big data en AI. Ook op het vlak van hr zijn er verschillende innovatieve analysetools ontwikkeld die ons verrassende en leerrijke inzichten geven in hr-data.Reinventing hr-data inspireert bedrijven om die nieuwe inzichten en analyses ook zelf toe te passen. Om als bedrijf een toekomst te blijven hebben in de 'war for talent' zal het cruciaal zijn om de eigen hr-data professioneel te ontginnen.Dit boek toont je de voordelen van HR-analytics, waar de valkuilen liggen en helpt je toekomstige uitdagingen in je bedrijf aan te gaan. De acht uitgewerkte stappen in de employee journey, van aanwerving tot vertrek, gidsen je door de fascinerende wereld van hr-data.Bron: www.standaardboekhandel.be

Human resources ; analyse. --- Human resources ; data. --- Human resources ; innovatie. --- 007.5 --- 658.3 --- informatica - cybernetica - Internet - Sociale media (zie ook 681.3) --- sociaal beleid in het bedrijf - personeelbeleid - personeelwerk - human resource management (zie ook 361.411) --- Big Data --- Artificiële intelligentie --- Dataset --- Personeelsmanagement --- Personeelswerving --- Talent --- Analyse --- Personeelsbeleid --- Taalgebruik --- Gestion des ressources humaines Personeelsbeleid --- Digital Digitaal --- Databeheer --- Data-analyse --- Personnel management --- aanwerving en selectie --- leidinggeven --- HRM (human resource management) --- Welzijn op het werk

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Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors.This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems.

Information technology industries --- target detection --- multi-platform imaging --- spectral matching --- terrestrial-hyperspectral imagery --- automated image analysis --- spectral library --- multi-sensor fusion --- object detection --- deep learning --- convolutional neural networks --- autonomous vehicles --- marine environment --- co-operative --- autonomous --- multi-robot --- USV --- AUV --- semantic SLAM --- YOLOv3 --- object based map --- EKF --- specular reflection detection --- specular reflection inpainting --- transparent object --- multispectral polarimetric imagery --- light field --- maritime vessel dataset --- ship detection --- convolutional neural network --- autonomous marine navigation --- machine learning --- inversion --- ocean colour --- phytoplankton --- pigment vertical profile --- deep chlorophyll maximum --- Tara Oceans --- MAREDAT --- pigments --- ITCOMP-SOM --- Self Organizing Maps

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Geo-information technology has been playing an ever more important role in environmental monitoring, land resource quantification and mapping, geo-disaster damage and risk assessment, urban planning and smart city development. This book focuses on the fundamental and applied research in these domains, aiming to promote exchanges and communications, share the research outcomes of scientists worldwide and to put these achievements better social use. This Special Issue collects fourteen high-quality research papers and is expected to provide a useful reference and technical support for graduate students, scientists, civil engineers and experts of governments to valorize scientific research.

Research & information: general --- street view --- remote sensing --- urban environmental elements --- ensemble learning --- green view --- sky view --- building view --- SHAP --- convolutional neural network --- water body extraction --- GaoFen-1 --- multiple scales --- deep learning --- Line Simplification --- Douglas-Peucker Algorithm --- Monotonic Chain --- Dichotomy --- vegetation --- partial correlation analysis --- trend prediction --- the source region of the Yellow River --- revetment --- damage signature --- dense point clouds --- unmanned aerial vehicle (UAV) --- gradient operator --- OpenStreetMap (OSM) --- road network density --- urban economy --- regression analysis --- spatial metric --- pre-hospital emergency --- spatiotemporal demand --- GPS data --- seasonal clustering --- short-term forecast --- tourism flow forecast --- optimization algorithm --- Random Forest --- landslide hazard risk --- integrated multisource dataset --- field sample rasterization --- weight assignment --- urban forest --- forest biomass --- biomass distribution --- geographic detector --- poverty probability --- random forest --- nighttime lights --- spatiotemporal characteristics --- geographic information systems --- land cover --- land dynamics --- regional studies --- sustainable planning --- ultra-peripheral territories --- fire station --- fire risk evaluation --- parcel-pickup lockers --- site-suitability analysis --- GIS-based --- bivariate logistic regression model --- suitability classification --- n/a

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Mobile mapping is applied widely in society, for example, in asset management, fleet management, construction planning, road safety, and maintenance optimization. Yet, further advances in these technologies are called for. Advances can be radical, such as changes to the prevailing paradigms in mobile mapping, or incremental, such as the state-of-the-art mobile mapping methods. With current multi-sensor systems in mobile mapping, laser-scanned data are often registered in point clouds with the aid of global navigation satellite system (GNSS) positioning or simultaneous localization and mapping (SLAM) techniques and then labeled and colored with the aid of machine learning methods and digital camera data. These multi-sensor platforms are beginning to undergo further advancements via the addition of multi-spectral and other sensors and via the development of machine learning techniques used in processing this multi-modal data. Embedded systems and minimalistic system designs are also attracting attention, from both academic and commercial perspectives.This book contains the accepted publications of the Special Issue 'Advances in Mobile Mapping Technologies' of the Remote Sensing journal. It consists of works introducing a new mobile mapping dataset (‘Paris CARLA 3D’), system calibration studies, SLAM topics, and multiple deep learning works for asset detection. We, the Guest Editors, Ville Lehtola from University of Twente, Netherlands, Andreas Nüchter from University of Würzburg, Germany, and François Goulette from Mines Paris- PSL University, France, wish to thank all the authors who contributed to this collection.

Technology: general issues --- History of engineering & technology --- LiDAR --- RetinaNet --- inception --- Mobile Laser Scanning --- point clouds --- data fusion --- Lidar --- point cloud density --- point cloud coverage --- mobile mapping systems --- 3D simulation --- Pandar64 --- Ouster OS-1-64 --- mobile laser scanning --- lever arm --- boresight angles --- plane-based calibration field --- configuration analysis --- accuracy --- controllability --- evaluation --- control points --- TLS reference point clouds --- visual–inertial odometry --- Helmert variance component estimation --- line feature matching method --- correlation coefficient --- point and line features --- mobile mapping --- manhole cover --- point cloud --- F-CNN --- transfer learning --- CAM localization --- loop closure detection --- visual SLAM --- semantic topology graph --- graph matching --- CNN features --- deep learning --- view planning --- imaging network design --- building 3D modelling --- path planning --- V-SLAM --- real-time --- guidance --- embedded-systems --- 3D surveying --- exposure control --- photogrammetry --- parking statistics --- vehicle detection --- robot operating system --- 3D camera --- RGB-D --- performance evaluation --- convolutional neural networks --- smart city --- georeferencing --- MSS --- IEKF --- DSIEKF --- geometrical constraints --- 6-DoF --- DTM --- 3D city model --- dataset --- laser scanning --- 3D mapping --- synthetic --- outdoor --- semantic --- scene completion