A real-time infrared imaging simulation method with physical effects modeling of infrared sensors

This paper introduces an enhanced version of the Biogeographical Region and Individual Geostationary HHMMSS Threshold (BRIGHT) algorithm. The algorithm runs in real-time and operates over 24 h to include both daytime and night-time detections. The algorithm was executed and tested on 12 months of Himawari-8 data from 1 April 2019 to 31 March 2020, for every valid 10-min observation. The resulting hotspots were compared to those from the Visible Infrared Imaging Radiometer Suite (VIIRS) and the Moderate Resolution Imaging Spectroradiometer (MODIS). The modified BRIGHT hotspots matched with fire detections in VIIRS 96% and MODIS 95% of the time. The number of VIIRS and MODIS hotspots with matches in the coincident modified BRIGHT dataset was lower (at 33% and 46%, respectively). This paper demonstrates a clear link between the number of VIIRS and MODIS hotspots with matches and the minimum fire radiative power considered.

Download Full-text

Real time Muon tomography imaging simulation and fast threat target identification

10.1117/12.817835 ◽

2009 ◽

Author(s):

Holger M. Jaenisch ◽

James W. Handley ◽

Kristina L. Jaenisch ◽

Nathaniel G. Albritton

Keyword(s):

Real Time ◽

Target Identification ◽

Tomography Imaging ◽

Muon Tomography ◽

Imaging Simulation

Download Full-text

A real-time control method-based simulation for high-speed trains on large-scale rail network

International Journal of Modern Physics C ◽

10.1142/s0129183117501261 ◽

2017 ◽

Vol 28 (10) ◽

pp. 1750126 ◽

Cited By ~ 1

Author(s):

Yutong Liu ◽

Chengxuan Cao ◽

Yaling Zhou ◽

Ziyan Feng

Keyword(s):

Real Time ◽

Traffic Flow ◽

High Speed ◽

Large Scale ◽

Simulation Method ◽

Real Time Control ◽

Rail Network ◽

Time Control ◽

High Speed Trains ◽

Rail Traffic

In this paper, an improved real-time control model based on the discrete-time method is constructed to control and simulate the movement of high-speed trains on large-scale rail network. The constraints of acceleration and deceleration are introduced in this model, and a more reasonable definition of the minimal headway is also presented. Considering the complicated rail traffic environment in practice, we propose a set of sound operational strategies to excellently control traffic flow on rail network under various conditions. Several simulation experiments with different parameter combinations are conducted to verify the effectiveness of the control simulation method. The experimental results are similar to realistic environment and some characteristics of rail traffic flow are also investigated, especially the impact of stochastic disturbances and the minimal headway on the rail traffic flow on large-scale rail network, which can better assist dispatchers in analysis and decision-making. Meanwhile, experimental results also demonstrate that the proposed control simulation method can be in real-time control of traffic flow for high-speed trains not only on the simple rail line, but also on the complicated large-scale network such as China’s high-speed rail network and serve as a tool of simulating the traffic flow on large-scale rail network to study the characteristics of rail traffic flow.

Download Full-text

The near infrared imaging system for the real-time protection of the JET ITER-like wall

Physica Scripta ◽

10.1088/1402-4896/aa8a14 ◽

2017 ◽

Vol T170 ◽

pp. 014027 ◽

Cited By ~ 6

Author(s):

A Huber ◽

D Kinna ◽

V Huber ◽

G Arnoux ◽

I Balboa ◽

...

Keyword(s):

Real Time ◽

Near Infrared ◽

Infrared Imaging ◽

Imaging System ◽

Near Infrared Imaging ◽

The Real ◽

Infrared Imaging System

Download Full-text

SHIL and DHIL Simulations of Nonlinear Control Methods Applied for Power Converters Using Embedded Systems

Electronics ◽

10.3390/electronics7100241 ◽

2018 ◽

Vol 7 (10) ◽

pp. 241 ◽

Cited By ~ 10

Author(s):

Arthur Rosa ◽

Matheus Silva ◽

Marcos Campos ◽

Renato Santana ◽

Welbert Rodrigues ◽

...

Keyword(s):

Embedded Systems ◽

Nonlinear Control ◽

Real Time ◽

Digital Signal Processor ◽

High Performance ◽

Power Converters ◽

Digital Signal ◽

Simulation Method ◽

Hardware In The Loop ◽

Control Techniques

In this work, a new real-time Simulation method is designed for nonlinear control techniques applied to power converters. We propose two different implementations: in the first one (Single Hardware in The Loop: SHIL), both model and control laws are inserted in the same Digital Signal Processor (DSP), and in the second approach (Double Hardware in The Loop: DHIL), the equations are loaded in different embedded systems. With this methodology, linear and nonlinear control techniques can be designed and compared in a quick and cheap real-time realization of the proposed systems, ideal for both students and engineers who are interested in learning and validating converters performance. The methodology can be applied to buck, boost, buck-boost, flyback, SEPIC and 3-phase AC-DC boost converters showing that the new and high performance embedded systems can evaluate distinct nonlinear controllers. The approach is done using matlab-simulink over commodity Texas Instruments Digital Signal Processors (TI-DSPs). The main purpose is to demonstrate the feasibility of proposed real-time implementations without using expensive HIL systems such as Opal-RT and Typhoon-HL.

Download Full-text