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Accident data for the Semantic Web
Lessons learned Lessons learning system Behavioral event sets Accident investigation data structure Event sets
2012/3/23
This paper describes concerns about the documentation, dissemination and use of lessons learned from mishap investigations, impediments posed by current practices, and opportunities for improvement. L...
Accident data for the Semantic Web
Lessons learned Lessons learning system Behavioral event sets Accident investigation data structure Event sets
2012/3/20
This paper describes concerns about the documentation, dissemination and use of lessons learned from mishap investigations, impediments posed by current practices, and opportunities for improvement. L...
Towards automatic and robust adjustment of human behavioral parameters in a pedestrian stream model to measured data
Cellular automaton Pedestrian simulation Fundamental diagram Calibration Parameter sensitivity
2012/3/26
People die or get injured at mass events when the crowd gets out of control. Urbanization and the increasing popularity of mass events, from soccer games to religious celebrations, enforce this trend....
Fault diagnosis and comparing risk for the steel coil manufacturing process using statistical models for binary data
Generalized linear models Generalized additive models ROC curve Bootstrapping
2012/4/22
Advanced statistical models can help industry to design more economical and rational investment plans. Fault detection and diagnosis is an important problem in continuous hot dip galvanizing. Increasi...
Data survivability vs. security in information systems
Data survivability Data security Protection Redundancy Attack Optimization
2012/4/16
A multiple objective problem formulation and solution methodology is presented to select optimal information and data storage configurations considering both data survivability and data security, as w...
Modified Weibull model: A Bayes study using MCMC approach based on progressive censoring data
Modified Weibull distribution Progressive type-II censoring Balanced loss Maximum likelihood estimation Bayesian estimation Gibbs and Metropolis–Hasting samplers Hybrid MCMC approach Bootstrap
2012/4/22
In this paper, we investigate the problem of point and interval estimations for the modified Weibull distribution (MWD) using progressively type-II censored sample. The maximum likelihood (ML), Bayes,...
Data mining applications in evaluating mine ventilation system
Mine ventilation Date mining Early warning model Rough set Support Vector Machine
2012/4/12
A mine’s ventilation system is an important component of an underground mining system. It provides a sufficient quantity of air to maintain suitable working environment. Therefore, the status of mine ...