Seabed scene simulation and its realization in extending Vega

2003 ◽  
Vol 2 (2) ◽  
pp. 40-45
Author(s):  
Zhi-ming Song ◽  
Feng-ju Kang ◽  
Kai Tang ◽  
Yan-jun Chu
Keyword(s):  
Scene Simulation

Scene simulation for camouflage assessment

2000 ◽  
Author(s):  
Alexander W. Houlbrook ◽  
Marilyn A. Gilmore ◽  
Ian R. Moorhead ◽  
David R. Filbee ◽  
Colin A. Stroud ◽  
...  
Keyword(s):  
Scene Simulation

Towards A Multi-FPGA Infrared Simulator

2007 ◽  
Vol 4 (4) ◽  
pp. 343-355 ◽  
Author(s):  
Vinay Sriram ◽  
David Kearney
Keyword(s):  
Homeland Security ◽  
Reconfigurable Computing ◽  
High Speed ◽  
High Performance ◽  
Large Scale ◽  
Computation Time ◽  
Ccd Camera ◽  
Hardware Acceleration ◽  
Limiting Factor ◽  
Scene Simulation

High speed infrared (IR) scene simulation is used extensively in defense and homeland security to test sensitivity of IR cameras and accuracy of IR threat detection and tracking algorithms used commonly in IR missile approach warning systems (MAWS). A typical MAWS requires an input scene rate of over 100 scenes/second. Infrared scene simulations typically take 32 minutes to simulate a single IR scene that accounts for effects of atmospheric turbulence, refraction, optical blurring and charge-coupled device (CCD) camera electronic noise on a Pentium 4 (2.8GHz) dual core processor [7]. Thus, in IR scene simulation, the processing power of modern computers is a limiting factor. In this paper we report our research to accelerate IR scene simulation using high performance reconfigurable computing. We constructed a multi Field Programmable Gate Array (FPGA) hardware acceleration platform and accelerated a key computationally intensive IR algorithm over the hardware acceleration platform. We were successful in reducing the computation time of IR scene simulation by over 36%. This research acts as a unique case study for accelerating large scale defense simulations using a high performance multi-FPGA reconfigurable computer.

scholarly journals The Research and Implementation of 3D Scene Simulation of Camouflage

2018 ◽  
Vol 3 (1) ◽  
pp. 126-129
Author(s):  
Yu Jun ◽  
Li Zhonghua ◽  
Hu Zhiyi ◽  
Dai Jun
Keyword(s):  
Scene Simulation ◽  
3D Scene

scholarly journals The Impact of Young Entrepreneurs’ Network Entrepreneurship Education and Management System Innovation on Students’ Entrepreneurial Psychology

2021 ◽  
Vol 12 ◽  
Author(s):  
Zeyu Wang ◽  
Run Tang ◽  
Xin Cheng
Keyword(s):  
Teaching Methods ◽  
Teaching Method ◽  
Entrepreneurship Education ◽  
Simulation Method ◽  
Professional Status ◽  
Traditional Teaching ◽  
Case Study Method ◽  
Scene Simulation ◽  
Test Result

The purpose of the study is to solve the problems existing in entrepreneurship education and management under computer technology. The teaching content of entrepreneurship education in colleges and universities is proposed. Since entrepreneurship education is practical, the auxiliary mechanism of entrepreneurship education also needs to be highly integrated with entrepreneurship practice. First, the network entrepreneurship teaching and management system is constructed, and students’ entrepreneurial creativity, communication ability, leadership ability, and qualities are taken as the research object. Second, the traditional teaching method, case study method, and scene simulation method are used to analyze and discuss the influence of the entrepreneurial teaching mode, entrepreneurial experience, and entrepreneurial ability on students’ entrepreneurial psychology. Finally, the questionnaire survey is used to conduct the relative sample t-test (Student’s t-test), and the influence of three teaching methods on students’ learning effects is analyzed. The influence of the three teaching methods on students’ entrepreneurial psychological states is further analyzed by the statistical method. The experimental results show that the test result of the scene simulation method and the traditional teaching method is 0.584, the test result of the scene simulation method and the case study method is 0.842, and the test result of the case study method and the traditional teaching method is 0.595. This shows that the scene simulation method has a significant impact on students’ entrepreneurial psychology and their entrepreneurial ability. In addition, students’ cognition of professional status significantly affects their entrepreneurial psychology and attitudes, and the correlation coefficient is 0.576. Therefore, it is suggested that colleges and universities should adopt the scene simulation method to improve the teaching quality of entrepreneurship education and strengthen students’ cognition of professional status and their entrepreneurial practice.

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