Results 51 to 60 of about 12,545,070 (225)

Conditional Random Field-Based Offline Map Matching for Indoor Environments

Sensors, 2016
In this paper, we present an offline map matching technique designed for indoor localization systems based on conditional random fields (CRF). The proposed algorithm can refine the results of existing indoor localization systems and match them with the ...
Safaa Bataineh, Alfonso Bahillo, Luis Enrique Díez, Enrique Onieva, Ikram Bataineh   +4 more
doaj   +1 more source

Dependence of Levitation Force on Frequency of an Oscillating Magnetic Levitation Field in a Bulk YBCO Superconductor

, 2012
The dependence of the magnetic field strength required for levitation of a melt textured, single domain YBCO superconductor disc on the frequency of the current generating the levitating magnetic field has been investigated.
Carter, Hamilton, Goedecke, George, Pate, Stephen   +2 more
core   +1 more source

Early changes in brain structure correlate with language outcomes in children with neonatal encephalopathy. [PDF]

, 2017
Global patterns of brain injury correlate with motor, cognitive, and language outcomes in survivors of neonatal encephalopathy (NE). However, it is still unclear whether local changes in brain structure predict specific deficits.
Barkovich, A James, Ferriero, Donna M, Gano, Dawn, Glass, Hannah C, Gorno-Tempini, Maria Luisa, Kim, Hosung, Mandelli, Maria Luisa, Rogers, Elizabeth E, Shapiro, Kevin A, Xu, Duan   +9 more
core   +2 more sources

Soil Moisture Mapping in an Arid Area Using a Land Unit Area (LUA) Sampling Approach and Geostatistical Interpolation Techniques

ISPRS International Journal of Geo-Information, 2016
Soil moisture (SM) plays a key role in many environmental processes and has a high spatial and temporal variability. Collecting sample SM data through field surveys (e.g., for validation of remote sensing-derived products) can be very expensive and time ...
Saeid Gharechelou, Ryutaro Tateishi, Ram C. Sharma, Brian Alan Johnson   +3 more
doaj   +1 more source

EXPLICITLY ACCOUNTING FOR UNCERTAINTY IN CROWDSOURCED DATA FOR SPECIES DISTRIBUTION MODELLING [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Species distribution models represent an important approach to map the spread of plant and animal species over space (and time). As all the statistical modelling techniques related to data from the field, they are prone to uncertainty.
D. Rocchini, A. Comber, C. X. Garzon-Lopez, M. Neteler, A. M. Barbosa, M. Marcantonio, Q. Groom, C. da Costa Fonte, G. M. Foody   +8 more
doaj   +1 more source

Particle Tracking Studies Using Dynamical Map Created from Finite Element Solution of the EMMA Cell [PDF]

, 2009
The un­con­ven­tion­al size and the pos­si­bil­i­ty of trans­verse dis­place­ment of the mag­nets in the EMMA non-scal­ing FFAG mo­ti­vates a care­ful study of par­ti­cle be­hav­ior with­in the EMMA ring.
Edgecock, R., Giboudot, Y., Khan, A, Wolski, A.   +3 more
core  

Beta asymmetry parameter in the decay of 114In

, 2009
The beta asymmetry parameter A for the pure Gamow-Teller decay of 114In is reported. The low temperature nuclear orientation method was combined with a GEANT4 based simulation code allowing for the first time to address in detail the effects of ...
De Leebeeck, V., Kraev, I., Severijns, N., Tandecki, M., Traykov, E., Van Gorp, S., Wauters, F., Zakoucky, D.   +7 more
core   +1 more source

Sensing electric and magnetic fields with Bose-Einstein Condensates

, 2005
We discuss the application of Bose-Einstein condensates (BECs) as sensors for magnetic and electric fields. In an experimental demonstration we have brought one-dimensional BECs close to micro-fabricated wires on an atom chip and thereby reached a ...
Bar-Joseph, I., Groth, S., Hofferberth, S., Krueger, P., Lesanovsky, I., Schmiedmayer, J., Wildermuth, S.   +6 more
core   +1 more source

Localization and Classification of Paddy Field Pests using a Saliency Map and Deep Convolutional Neural Network

Scientific Reports, 2016
We present a pipeline for the visual localization and classification of agricultural pest insects by computing a saliency map and applying deep convolutional neural network (DCNN) learning.
Ziyi Liu, Junfeng Gao, Guo-lai Yang, Huan Zhang, Yong He   +4 more
semanticscholar   +1 more source

KMapper: A Field Geological Survey System

ISPRS International Journal of Geo-Information, 2021
The computing power of smart mobile devices has evolved as much as the power of desktop personal computers (PCs). Accordingly, a field geological survey system capable of utilizing the performance of smart devices is needed.
Young-Kwang Yeon
doaj   +1 more source