scholarly journals Analysis of COVID-19 infection spread in Japan based on stochastic transition model

2020 ◽  
Vol 14 (2) ◽  
pp. 134-138 ◽  
Author(s):  
Kenji Karako ◽  
Peipei Song ◽  
Yu Chen ◽  
Wei Tang
Keyword(s):  
Transition Model ◽  
Stochastic Transition ◽  
Infection Spread

scholarly journals State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1614 ◽  
Author(s):  
Amirali Gostar ◽  
Chunyun Fu ◽  
Weiqin Chuah ◽  
Mohammed Hossain ◽  
Ruwan Tennakoon ◽  
...  
Keyword(s):  
Autonomous Vehicle ◽  
Large Body ◽  
Point Clouds ◽  
Substantial Part ◽  
Transition Model ◽  
3D Point Clouds ◽  
Autonomous Cars ◽  
Stochastic Transition ◽  
Vehicle Sensors ◽  
Bayesian Filters

There is a large body of literature on solving the SLAM problem for various autonomous vehicle applications. A substantial part of the solutions is formulated based on using statistical (mainly Bayesian) filters such as Kalman filter and its extended version. In such solutions, the measurements are commonly some point features or detections collected by the sensor(s) on board the autonomous vehicle. With the increasing utilization of scanners with common autonomous cars, and availability of 3D point clouds in real-time and at fast rates, it is now possible to use more sophisticated features extracted from the point clouds for filtering. This paper presents the idea of using planar features with multi-object Bayesian filters for SLAM. With Bayesian filters, the first step is prediction, where the object states are propagated to the next time based on a stochastic transition model. We first present how such a transition model can be developed, and then propose a solution for state prediction. In the simulation studies, using a dataset of measurements acquired from real vehicle sensors, we apply the proposed model to predict the next planar features and vehicle states. The results show reasonable accuracy and efficiency for statistical filtering-based SLAM applications.

New Roughness-Induced Transition Model for Simulating Ice Accretion on Airfoils

AIAA Journal ◽  
2021 ◽  
Vol 59 (1) ◽  
pp. 250-262
Author(s):  
Seungin Min ◽  
Kwanjung Yee
Keyword(s):  
Transition Model ◽  
Ice Accretion

The Experience of Plague in East Kent, 1636-38

2016 ◽  
pp. 9-27
Author(s):  
Margaret Bolton
Keyword(s):  
Surrounding Area ◽  
Infection Spread ◽  
The Hamlet

On 2 July 1637 43-year-old Elizabeth Burgess, from Canterbury, was buried at Birchington, Kent, having died of the plague in the hamlet of Wood in that parish. She was the first victim of an outbreak of plague in 1637. This article firstly examines that outbreak in Birchington in detail; then it considers how far the parish's experience matched that in nearby Faversham and Sandwich. It finally discusses the extent to which the infection spread to the surrounding area.

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