Notice of Retraction: Stochastic event capture using single robot moving along a certain track

2009 ◽  
Author(s):  
Xiannuan Liang ◽  
Yang Xiao ◽  
Nanxiang Li
Keyword(s):  
Event Capture ◽  
Stochastic Event

Stochastic Event Capture Using Mobile Sensors Subject to a Quality Metric

2007 ◽  
Vol 23 (4) ◽  
pp. 676-692 ◽  
Author(s):  
Nabhendra Bisnik ◽  
Alhussein A. Abouzeid ◽  
Volkan Isler
Keyword(s):  
Mobile Sensors ◽  
Quality Metric ◽  
Event Capture ◽  
Stochastic Event

CHASE: Charging and Scheduling Scheme for Stochastic Event Capture in Wireless Rechargeable Sensor Networks

2020 ◽  
Vol 19 (1) ◽  
pp. 44-59 ◽  
Author(s):  
Haipeng Dai ◽  
Qiufang Ma ◽  
Xiaobing Wu ◽  
Guihai Chen ◽  
David K. Y. Yau ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Scheduling Scheme ◽  
Wireless Rechargeable Sensor Networks ◽  
Event Capture ◽  
Stochastic Event

Practical scheduling for stochastic event capture in energy harvesting sensor networks

2015 ◽  
Vol 18 (1/2) ◽  
pp. 85 ◽  
Author(s):  
Haipeng Dai ◽  
Xiaobing Wu ◽  
Lijie Xu ◽  
Fan Wu ◽  
Shibo He ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Energy Harvesting ◽  
Event Capture ◽  
Stochastic Event

Probability and Random Processes

2018 ◽  
Author(s):  
Stefan Thurner ◽  
Rudolf Hanel ◽  
Peter Klimekl
Keyword(s):  
Random Processes ◽  
Distribution Functions ◽  
Basic Logic ◽  
Heavy Tailed Distributions ◽  
Random Components ◽  
Classical Distribution ◽  
Heavy Tailed ◽  
Basic Facts ◽  
Stochastic Events ◽  
Stochastic Event

Phenomena, systems, and processes are rarely purely deterministic, but contain stochastic,probabilistic, or random components. For that reason, a probabilistic descriptionof most phenomena is necessary. Probability theory provides us with the tools for thistask. Here, we provide a crash course on the most important notions of probabilityand random processes, such as odds, probability, expectation, variance, and so on. Wedescribe the most elementary stochastic event—the trial—and develop the notion of urnmodels. We discuss basic facts about random variables and the elementary operationsthat can be performed on them. We learn how to compose simple stochastic processesfrom elementary stochastic events, and discuss random processes as temporal sequencesof trials, such as Bernoulli and Markov processes. We touch upon the basic logic ofBayesian reasoning. We discuss a number of classical distribution functions, includingpower laws and other fat- or heavy-tailed distributions.

scholarly journals Non-Invasive Molecular Survey of Sarcoptic Mange in Wildlife: Diagnostic Performance in Wolf Faecal Samples Evaluated by Multi-Event Capture–Recapture Models

Pathogens ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 243
Author(s):  
Julieta Rousseau ◽  
Mónia Nakamura ◽  
Helena Rio-Maior ◽  
Francisco Álvares ◽  
Rémi Choquet ◽  
...  
Keyword(s):  
Molecular Detection ◽  
High Specificity ◽  
Sarcoptes Scabiei ◽  
Sarcoptic Mange ◽  
Diagnostic Specificity ◽  
Non Invasive ◽  
Faecal Samples ◽  
Capture Recapture ◽  
The Mean ◽  
Event Capture

Sarcoptic mange is globally enzootic, and non-invasive methods with high diagnostic specificity for its surveillance in wildlife are lacking. We describe the molecular detection of Sarcoptes scabiei in non-invasively collected faecal samples, targeting the 16S rDNA gene. We applied this method to 843 Iberian wolf Canis lupus signatus faecal samples collected in north-western Portugal (2006–2018). We further integrated this with serological data (61 samples from wolf and 20 from red fox Vulpes vulpes, 1997–2019) in multi-event capture–recapture models. The mean predicted prevalence by the molecular analysis of wolf faecal samples from 2006–2018 was 7.2% (CI95 5.0–9.4%; range: 2.6–11.7%), highest in 2009. The mean predicted seroprevalence in wolves was 24.5% (CI95 18.5–30.6%; range: 13.0–55.0%), peaking in 2006–2009. Multi-event capture–recapture models estimated 100% diagnostic specificity and moderate diagnostic sensitivity (30.0%, CI95 14.0–53.0%) for the molecular method. Mange-infected individually identified wolves showed a tendency for higher mortality versus uninfected wolves (ΔMortality 0.150, CI95 −0.165–0.458). Long-term serology data highlights the endemicity of sarcoptic mange in wild canids but uncovers multi-year epidemics. This study developed and evaluated a novel method for surveying sarcoptic mange in wildlife populations by the molecular detection of S. scabiei in faecal samples, which stands out for its high specificity and non-invasive character.

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