A Probability Model for Tuft Breakages—Estimation and Application

A probabilistic model for the tuft-breakage process has been proposed by Kambo and Aziz. Estimation of the parameters and the application of the model are demonstrated in this study. The parameters of the model are estimated by a linearization method. To do this, two modes of tuft breakage have been studied to determine which one is better suited to explain the observed data. The results show that the model fits very well to the data on tuft breakage for two types of cotton.

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Probabilistic Model Checking of Robots Deployed in Extreme Environments

Proceedings of the AAAI Conference on Artificial Intelligence ◽

10.1609/aaai.v33i01.33018066 ◽

2019 ◽

Vol 33 ◽

pp. 8066-8074 ◽

Cited By ~ 5

Author(s):

Xingyu Zhao ◽

Valentin Robu ◽

David Flynn ◽

Fateme Dinmohammadi ◽

Michael Fisher ◽

...

Keyword(s):

Model Checking ◽

Probabilistic Model ◽

Probability Model ◽

Extreme Environments ◽

Probabilistic Model Checking ◽

Unmanned Underwater Vehicles ◽

Safety And Reliability ◽

Using Data ◽

High Degree ◽

Operational Data

Robots are increasingly used to carry out critical missions in extreme environments that are hazardous for humans. This requires a high degree of operational autonomy under uncertain conditions, and poses new challenges for assuring the robot’s safety and reliability. In this paper, we develop a framework for probabilistic model checking on a layered Markov model to verify the safety and reliability requirements of such robots, both at pre-mission stage and during runtime. Two novel estimators based on conservative Bayesian inference and imprecise probability model with sets of priors are introduced to learn the unknown transition parameters from operational data. We demonstrate our approach using data from a real-world deployment of unmanned underwater vehicles in extreme environments.

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In search of a statistical probability model for petroleum-resource assessment : a critique of the probabilistic significance of certain concepts and methods used in petroleum-resource assessment : to that end, a probabilistic model is sketched

Circular ◽

10.3133/cir724 ◽

1975 ◽

Author(s):

Bernardo F. Grossling

Keyword(s):

Probabilistic Model ◽

Probability Model ◽

Resource Assessment ◽

Statistical Probability ◽

Petroleum Resource

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Reliability Optimization Analysis Based on Structure of Probabilistic Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.484-485.457 ◽

2014 ◽

Vol 484-485 ◽

pp. 457-461

Author(s):

Xiang Fu Liu

Keyword(s):

Human Factors ◽

Probabilistic Model ◽

Approximate Calculation ◽

Structural Reliability ◽

Probability Model ◽

Design Methods ◽

Reliability Optimization ◽

Optimization Analysis ◽

Random Uncertainty ◽

Calculation Results

The implementation of a project contains a lot of uncertainty, by their nature, random uncertainty, uncertainty and human factors (such as peoples limitations of understanding things and design methods, the use of analog approximate calculation results) due to the uncertainty of the future to better improve the structural reliability, this paper, the probability model reviewed structural reliability.

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Passive Facebook Use and Depression

Journal of Media Psychology Theories Methods and Applications ◽

10.1027/1864-1105/a000269 ◽

2020 ◽

Vol 32 (4) ◽

pp. 165-175 ◽

Cited By ~ 2

Author(s):

Leman Pınar Tosun ◽

Ezgi Kaşdarma

Keyword(s):

Social Comparisons ◽

Path Model ◽

The Other ◽

Facebook Use ◽

Psychological Mechanism ◽

Model Fits

Abstract. In the current study we examined a psychological mechanism linking Facebook use to depression. A survey was conducted with 319 undergraduates about their passive Facebook use, their frequency of making upward social comparisons on Facebook, the emotions evoked through these comparisons, and their levels of depression. Half of the participants were given questions about the Facebook comparisons they made with their close friends, while the other half were given questions about the Facebook comparisons they made with acquaintances. Analysis of the whole sample revealed that upward Facebook comparison elicited assimilative emotions (inspiration, optimism, and admiration) more than contrastive emotions did (envy and resentment). A path model was developed in which passive use of Facebook predicted the frequency of making upward social comparisons, and, in turn, the frequency of making upward Facebook comparisons predicted depression through two routes: one through contrastive emotions and other through assimilative emotions. The results suggested that the model fits the data. As expected, the frequency of upward Facebook comparisons was associated with the increases in frequency of both contrastive and assimilative emotions, and the associations of these two types of emotions with depression were in opposite directions: Depression increased as the frequency of contrastive emotions increased, and it decreased as the frequency of assimilative emotions increased. The strength of the latter aforementioned association was stronger when the comparison targets were acquaintances rather than close friends.

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