Free flight is an effective way to solve the congestions of air traffic flow. In order to guarantee the flight security, there is great significance to study on collision risk assessment in free flight. This paper applies the idea of collision risk of fixed route based on conflict area for reference, firstly designs a conflict area and establishes the collision risk model in free flight on the ...

This paper aims to propose a reliable location-allocation model where facilities are subject to the risk of disruptions. Since service facilities are expected to satisfy random and heavy demands, we model the congested situations in the system within a queuing framework which handles two sources of uncertainty associated with demand and service. To insure the service quality, a minimum limit re...

Risk assessment determines threats to critical resources and the corresponding loss expectancy.Bayesian network is used to model potential attack paths in a system. Knowledge of attackers and attack mechanisms are used to fetch the subset of attack paths. Security risk assessment and mitigation are two vital processes. Models such as attack graphs and attack trees are used to assess the cause-c...

background: the gail model has been widely used for estimation of absolute risk of breast cancer development. the original model and most of the validation studies have been performed among western populations and controversial results have been reported regarding the applicability of this model in asian populations. our aim was to investigate the performance of this model in iranian women. met...

The fundamental purpose of investing in stocks is to make a profit. But the stock investment, income always accompanies risk. In order reduce risk greater returns, investor will be two or more portfolio together invest. This study examines return and using minimal variance maximum Sharpe ratio model, based on Markowitz mean-variance theory, identify best for given preference. model risk-averse ...

This paper proposes a method for the unsupervised learning of lexicons from pairs of a spoken utterance and an object as its meaning without any a priori linguistic knowledge other than a phoneme acoustic model. In order to obtain a lexicon, a statistical model of the joint probability of a spoken utterance and an object is learned based on the minimum description length principle. This model c...