Results 11 to 20 of about 1,587,709 (329)

Flash lag in depth [PDF]

open access: yesJournal of Vision, 2006
The perceived position of a moving target at a particular point in time, indicated by a flash, is often judged to be different from its actual location. Here, we show that the position of a target moving in depth is also systematically mislocalized. We used three types of targets moving in depth at a range of speeds from 2 to 16 cm/s.
Laurence R. Harris   +2 more
openaire   +3 more sources

National-Scale Variation and Propagation Characteristics of Meteorological, Agricultural, and Hydrological Droughts in China

open access: yesRemote Sensing, 2020
The regional and national scales variation and propagation characteristics of different types of droughts are critical for improving drought resilience, while information is limited in China.
Ning Yao   +6 more
doaj   +1 more source

Erratum: Optimization of k value and lag parameter of k-nearest neighbor algorithm on the prediction of hotel occupancy rates

open access: yesJurnal Teknologi dan Sistem Komputer, 2021
This correct the article "Optimasi nilai k dan parameter lag algoritme k-nearest neighbor pada prediksi tingkat hunian hotel (Optimization of k value and lag parameter of k-nearest neighbor algorithm on the prediction of hotel occupancy rates)" in vol. 8,
Agus Subhan Akbar   +1 more
doaj   +1 more source

Comparison of Field‐Aligned Current Responses to HSS/SIR, Sheath, and Magnetic Cloud Driven Geomagnetic Storms

open access: yesGeophysical Research Letters, 2023
The time delay from an interplanetary driver arriving at the magnetopause to the response in the ionosphere has never been quantified separately for different types of storm drivers.
M. N. Pedersen   +2 more
doaj   +1 more source

Development of methodological approaches to risk management within the system of internal control of agricultural organizations [PDF]

open access: yesBIO Web of Conferences, 2022
In order to form methodological approaches to risk management of agricultural organizations, the article considers the grouping of risks according to various criteria, which allows them to predict them in a timely manner and minimize possible damage.
Khulkhachieva Galina   +2 more
doaj   +1 more source

The Closest Look at 1H0707-495: X-ray Reverberation Lags with 1.3 Ms of Data [PDF]

open access: yes, 2012
Reverberation lags in AGN were first discovered in the NLS1 galaxy, 1H0707-495. We present a follow-up analysis using 1.3 Ms of data, which allows for the closest ever look at the reverberation signature of this remarkable source.
Cackett, E. M.   +6 more
core   +7 more sources

Invariants of degree 3 and torsion in the Chow group of a versal flag [PDF]

open access: yes, 2014
We prove that the group of normalized cohomological invariants of degree 3 modulo the subgroup of semidecomposable invariants of a semisimple split linear algebraic group G is isomorphic to the torsion part of the Chow group of codimension 2 cycles of ...
Merkurjev, Alexander   +2 more
core   +1 more source

Optimization of k value and lag parameter of k-nearest neighbor algorithm on the prediction of hotel occupancy rates

open access: yesJurnal Teknologi dan Sistem Komputer, 2020
Hotel occupancy rates are the most important factor in hotel business management. Prediction of the rates for the next few months determines the manager's decision to arrange and provide all the needed facilities.
Agus Subhan Akbar   +1 more
doaj   +1 more source

Quasi-Steady State Time Model of Fire Smoke Transmission in Long-Narrow Spaces

open access: yesShanghai Jiaotong Daxue xuebao, 2022
Transport time lag is a crucial characteristic of fire spreading in fire early stage, which determines the activation time of the fire detector. To clarify the quantitative relationship between the delay behavior and the quasi-steady state of smoke ...
WANG Jinhui, HUANG Yijun, CUI Xin, ZHANG Shaogang, ZHANG Ruiqing
doaj   +1 more source

Revealing the X-ray source in IRAS 13224-3809 through flux-dependent reverberation lags [PDF]

open access: yes, 2013
IRAS 13224-3809 was observed in 2011 for 500 ks with the XMM-Newton observatory. We detect highly significant X-ray lags between soft (0.3 - 1 keV) and hard (1.2 - 5 keV) energies. The hard band lags the soft at low frequencies (i.e. hard lag), while the
Cackett, E. M.   +4 more
core   +3 more sources

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