scholarly journals ON ALGORITHM FOR DETECTING CHANGES IN THE OBJECT MOTION MODE

2021 ◽  
Vol 3 (65) ◽  
pp. 48-55
Author(s):  
Aleksey V. Golubkov ◽  
Keyword(s):  
Kalman Filters ◽  
A Priori ◽  
Current Mode ◽  
Object Motion ◽  
Sequential Decision ◽  
Motion Models ◽  
Complex Trajectory ◽  
A Priori Estimation ◽  
Average Size ◽  
Motion Mode

The article deals with the solution to the problem of determining the motion mode of an object along a complex trajectory. A hybrid stochastic model is used to describe a complex trajectory. The solution of the problem is based on the application of a sequential decision rule about the choice at an unknown time of the hypothesis about the current mode of motion, with a limited size of the bank of competing Kalman filters. An algorithm is constructed for calculating the average size of the Kalman filter bank in the case of M-possible motion modes. The algorithm is developed in a general form, therefore, it can be used not only for the four types of object motion models considered in this paper, but also for any linear discrete-time models with Gaussian noise presented by equations in the state space. The algorithm for a priori estimation of the average size of a bank of competing Kalman filters for M-possible modes of motion is implemented in MATLAB, the results of computer simulation are presented.

A priori estimation of solutions of a boundary problem for a pseudodifferential equation with degeneration

2021 ◽  
pp. 6-10
Author(s):  
Alexander Dmitrievich Baev ◽  
◽  
Dmitry Alexandrovich Chechin ◽  
Sergey Alexandrovich Shabrov ◽  
Natalya Ivanovna Rabotinskaya ◽  
...  
Keyword(s):  
Boundary Problem ◽  
A Priori ◽  
Pseudodifferential Equation ◽  
A Priori Estimation

Maximum a priori estimation of wavefront slopes using a Hartmann wavefront sensor

1996 ◽  
Author(s):  
Scott A. Sallberg ◽  
Byron M. Welsh ◽  
Michael C. Roggemann
Keyword(s):  
A Priori ◽  
Wavefront Sensor ◽  
A Priori Estimation

Genomic selection efficiency and a priori estimation of accuracy in a structured dent maize panel

2018 ◽  
Vol 132 (1) ◽  
pp. 81-96 ◽  
Author(s):  
Simon Rio ◽  
Tristan Mary-Huard ◽  
Laurence Moreau ◽  
Alain Charcosset
Keyword(s):  
Genomic Selection ◽  
A Priori ◽  
Selection Efficiency ◽  
A Priori Estimation

Selection of additive manufacturing processes

2017 ◽  
Vol 23 (2) ◽  
pp. 434-447 ◽  
Author(s):  
Yuanbin Wang ◽  
Robert Blache ◽  
Xun Xu
Keyword(s):  
Additive Manufacturing ◽  
New Technologies ◽  
Rapid Development ◽  
A Priori ◽  
Design Stage ◽  
Selection Methods ◽  
Sequential Decision ◽  
Process Selection ◽  
New Approach ◽  
Content Type

Purpose This study aims to review the existing methods for additive manufacturing (AM) process selection and evaluate their suitability for design for additive manufacturing (DfAM). AM has experienced a rapid development in recent years. New technologies, machines and service bureaus are being brought into the market at an exciting rate. While user’s choices are in abundance, finding the right choice can be a non-trivial task. Design/methodology/approach AM process selection methods are reviewed based on decision theory. The authors also examine how the user’s preferences and AM process performances are considered and approximated into mathematical models. The pros and cons and the limitations of these methods are discussed, and a new approach has been proposed to support the iterating process of DfAM. Findings All current studies follow a sequential decision process and focus on an “a priori” articulation of preferences approach. This kind of method has limitations for the user in the early design stage to implement the DfAM process. An “a posteriori” articulation of preferences approach is proposed to support DfAM and an iterative design process. Originality/value This paper reviews AM process selection methods in a new perspective. The users need to be aware of the underlying assumptions in these methods. The limitations of these methods for DfAM are discussed, and a new approach for AM process selection is proposed.

scholarly journals A priori estimation of sequencing effort in complex microbial metatranscriptomes

2020 ◽  
Vol 10 (23) ◽  
pp. 13382-13394 ◽  
Author(s):  
Toni Monleon‐Getino ◽  
Jorge Frias‐Lopez
Keyword(s):  
A Priori ◽  
A Priori Estimation
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