Listing 1 - 4 of 4 |
Sort by
|
Choose an application
Dear colleagues, Geological energy has a long history in China. As early as 500 BC, China began to use coal as fuel. In the middle of the 19th century, China began to develop oil resources. After the foundation of new China, with the discovery of the Daqing oilfield, China's oil industry entered an era of great development. During the 21st century, with the development of drilling technology, the development of unconventional energy such as shale gas and shale oil has entered a new era. In recent years, the development of flammable ice has set off a wave of clean energy. With the carbon reduction plan proposed by the Chinese government, clean geo-energy has been granted unparalleled development space in the future. China's geo-energy development technology used to lag behind that of major developed countries for a long time, but after years of development, it has become the world's leading edge in some fields. Therefore, we specially set up this collection to collect China's advanced geo-energy exploitation technology and development trends, whilst providing some new directions for thinking about geo-energy development in China and even the world. This collection seeks to contribute to such topics through enhanced scientific and multidisciplinary knowledge.
Research & information: general --- airflow reversal --- gas outburst --- mine ventilation system --- orthogonal experiment --- numerical simulation --- deep chamber --- asymmetric failure --- mechanical analysis --- control measures --- Yinggehai --- overpressure --- hydraulic fracture --- mudstone --- fluid pressure --- red sandstone --- pre-existing cracks --- creep behavior --- temperature --- long-term permeability --- partial saturation --- patchy saturation --- squirt flow --- P-wave velocity dispersion and attenuation --- anelasticity --- ultrasonic measurements --- heavy oil reservoirs --- cyclic steam stimulation --- conformance control --- extreme gradient boost (XGBoost) trees --- prediction model --- Dongsha Waters in the northern South China Sea margin --- velocity inversion --- mud volcano --- magma intrusion --- Mesozoic hydrocarbon --- tubing --- modal analysis --- fluid-structure interaction --- inlet pressure --- pipeline --- water hammer --- gas-liquid two-phase flow --- pressure --- velocity --- lattice Boltzmann method --- discrete element method --- sand production --- force chain network analysis --- seismic sedimentology --- sedimentary facies evolution --- peat accumulation regularity --- frequency–division amplitude fusion --- thin sand bodies --- stable crack propagation --- crack strain --- stress–strain curve --- model --- wing crack --- outburst coal --- primary coal --- structural parameters --- infrared spectrum --- XRD --- oil shale --- in situ conversion project --- biomarker --- pyrolysis process --- organic geochemistry
Choose an application
Remote sensing data and techniques have been widely used for disaster monitoring and assessment. In particular, recent advances in sensor technologies and artificial intelligence-based modeling are very promising for disaster monitoring and readying responses aimed at reducing the damage caused by disasters. This book contains eleven scientific papers that have studied novel approaches applied to a range of natural disasters such as forest fire, urban land subsidence, flood, and tropical cyclones.
Research & information: general --- wildfire --- satellite vegetation indices --- live fuel moisture --- empirical model function --- Southern California --- chaparral ecosystem --- forest fire --- forest recovery --- satellite remote sensing --- vegetation index --- burn index --- gross primary production --- South Korea --- land subsidence --- PS-InSAR --- uneven settlement --- building construction --- Beijing urban area --- floodplain delineation --- inaccessible region --- machine learning --- flash flood --- risk --- LSSVM --- China --- Himawari-8 --- threshold-based algorithm --- remote sensing --- dryness monitoring --- soil moisture --- NIR–Red spectral space --- Landsat-8 --- MODIS --- Xinjiang province of China --- SDE --- PE --- groundwater level --- compressible sediment layer --- tropical cyclone formation --- WindSat --- disaster monitoring --- wireless sensor network --- debris flow --- anomaly detection --- deep learning --- accelerometer sensor --- total precipitable water --- Himawari-8 AHI --- random forest --- deep neural network --- XGBoost --- n/a --- NIR-Red spectral space
Choose an application
The book, "Intelligent Sensors for Human Motion Analysis," contains 17 articles published in the Special Issue of the Sensors journal. These articles deal with many aspects related to the analysis of human movement. New techniques and methods for pose estimation, gait recognition, and fall detection have been proposed and verified. Some of them will trigger further research, and some may become the backbone of commercial systems.
Technology: general issues --- History of engineering & technology --- gait recognition --- biometrics --- regularized discriminant analysis --- particle swarm optimization --- grey wolf optimization --- whale optimization algorithm --- FMCW --- vital sign --- XGBoost --- MFCC --- COVID-19 --- 3D human pose estimation --- deep learning --- generalization --- optical sensing principle --- modular sensing unit --- plantar pressure measurement --- gait parameters --- 3D human mesh reconstruction --- deep neural network --- motion capture --- neural networks --- reconstruction --- gap filling --- FFNN --- LSTM --- BILSTM --- GRU --- pose estimation --- movement tracking --- computer vision --- artificial intelligence --- markerless motion capture --- assessment --- kinematics --- development --- machine learning --- human action recognition --- features fusion --- features selection --- recognition --- fall risk detection --- balance --- Berg Balance Scale --- human tracking --- elderly --- telemedicine --- diagnosis --- precedence indicator --- knowledge measure --- fuzzy inference --- rule induction --- posture detection --- aggregation function --- markerless --- human motion analysis --- gait analysis --- data augmentation --- skeletal data --- time series classification --- EMG --- pattern recognition --- robot --- cyber-physical systems --- RGB-D sensors --- human motion modelling --- F-Formation --- Kinect v2 --- Azure Kinect --- Zed 2i --- socially occupied space --- facial expression recognition --- facial landmarks --- action units --- convolutional neural networks --- graph convolutional networks --- artifact classification --- artifact detection --- anomaly detection --- 3D multi-person pose estimation --- absolute poses --- camera-centric coordinates --- deep-learning --- n/a
Choose an application
Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITS) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include: road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas. The efficient operation of these complex systems requires: i) efficient solutions to the issues of sensors/actuators used to capture and control the physical parameters of these systems, as well as the quality of data collected from these systems; ii) tackling complexities using simulations and analytical modelling techniques; and iii) applying optimization techniques to improve the performance of these systems. It includes twenty-four papers, which cover scientific concepts, frameworks, architectures and various other ideas on analytics, trends and applications of transportation-related data.
Technology: general issues --- image dehazing --- traffic video dehazing --- dark channel prior --- spatial-temporal correlation --- contrast enhancement --- traffic signal control --- game theory --- decentralized control --- large-scale network control --- railway intrusion detection --- scene segmentation --- scene recognition --- adaptive feature extractor --- convolutional neural networks --- in-cylinder pressure identification --- speed iteration model --- EKF --- frequency modulation --- amplitude modulation --- sensor synchronization --- microscopic traffic data --- trajectory reconstruction --- expectation maximization --- vehicle matching --- artificial neural networks --- metro --- transportation --- user flow forecast --- matrix inversion --- time-varying matrix --- noise problem in time-varying matrix inversion --- recurrent neural network (RNN) --- RNN-based solver --- real-time fast computing --- real-time estimation --- probe vehicle --- traffic density --- neural network --- level of market penetration rate --- deep neural network --- neural artistic extraction --- objectification --- ride comfort --- subjective evaluation --- road surface recognition --- Gaussian background model --- abnormal road surface --- acceleration sensor --- traffic state prediction --- spatio-temporal traffic modeling --- simulation --- machine learning --- hyper parameter optimization --- ITS --- crash risk modeling --- hazardous materials --- highway safety --- operations research --- prescriptive analytics --- shortest path problem --- trucking --- vehicle routing problem --- data visualization --- descriptive analytics --- predictive analytics --- urban rail transit interior noise --- smartphone sensing --- XGBoost classifier --- railway maintenance --- vehicle trajectory prediction --- license plate data --- trip chain --- turning state transit --- route choice behavior --- real world experiment --- Intelligent Transportation Systems (ITS) --- advanced traveler information systems (ATIS) --- connected vehicles --- particle filter --- Kalman filter --- road safety --- travel time information system --- safety performance function --- bicycle sharing systems --- public transport systems --- data-driven classification of trips --- BSS underlying network --- trip index --- automatic rail-surface-scratch recognition and computation --- triangulation algorithm --- complete closed mesh model --- online rail-repair --- autonomous vehicle --- obstacle avoidance --- artificial potential field --- model predictive control --- human-like --- variable speed limits --- intelligent transportation systems --- ITS services --- driving simulator studies --- traffic modelling --- surrogate safety measures --- driving safety --- driving emotions --- driving stress --- lifestyle --- sensors --- heart rate --- plate scanning --- low-cost sensor --- sensor location problem --- traffic flow estimation --- n/a
Listing 1 - 4 of 4 |
Sort by
|