Evaluation of missile electromagnetic launch system based on effectiveness

To solve the problems of strong infrared radiation, poor continuous combat capability of the system, serious ablation of the launching device, and environmental pollution of the existing missile launching system, electromagnetic launch system (EMLS) has been studied for missile launch system. Combining the situation that the current research on missile electromagnetic launch system (MEMLS) mainly focuses on the key technical points and the deficiencies in the previous research on MEMLS, this paper establishes an effectiveness prediction model based on GRA-PCA-LSSVM, and discusses the investment efficiency of the system based on DEA. The experimental results prove that the established model is reasonable, effective and superior, and provides a reference for the further improvement and development of MEMLS.

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G(1,1,λ,ρ) Optimization Model and Application Based on the FS

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.644-650.1494 ◽

2014 ◽

Vol 644-650 ◽

pp. 1494-1497

Author(s):

Han Lin Wang ◽

Zi Hui Ren ◽

Li Xia Xue ◽

Yan Li Luo

Keyword(s):

Prediction Model ◽

Optimization Model ◽

Experimental Results ◽

Grey Prediction ◽

Grey Prediction Model ◽

Model Based

A grey prediction model based on Free Searching (FS) () is proposed in this paper. Firstly, FS is applied to optimize the parameters of the model. The convergence of the FS algorithm is proved in order to show the reasonable of optimization with FS. Then, we give the factors which affect the precision of the prediction by analyzing the model. Based on this, the initial array is transformed. Finally, we predict several times used model and obtain the average of the prediction results’ combination. The experimental results show that the model is feasible, reasonable and effective.

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Air permeability of polyester nonwoven fabrics

Autex Research Journal ◽

10.2478/aut-2014-0019 ◽

2015 ◽

Vol 15 (1) ◽

pp. 8-12 ◽

Cited By ~ 10

Author(s):

Guocheng Zhu ◽

Dana Kremenakova ◽

Yan Wang ◽

Jiri Militky

Keyword(s):

Prediction Model ◽

Pressure Gradient ◽

Air Permeability ◽

Woven Fabrics ◽

Experimental Results ◽

Hydraulic Radius ◽

Nonwoven Fabrics ◽

Model Based ◽

Experimental Values

Abstract Air permeability is one of the most important properties of non-woven fabrics in many applications. This paper aims to investigate the effects of thickness, porosity and density on the air permeability of needle-punched non-woven fabrics and compare the experimental values with two models which are based on hydraulic radius theory and drag theory, respectively. The air permeability of the samples was measured by an air permeability tester FX3300. The results showed that the air permeability of non-woven fabrics decreased with the increase in thickness and density of samples, increased with the increase of porosity, and the air permeability was not directly proportional to the pressure gradient. Meanwhile, the prediction model based on hydraulic radius theory had a better agreement with experimental values than the model based on drag theory, but the values were much higher than the experimental results, especially for higher porosity and higher pressure gradient.

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Spreading Predictability in Complex Networks

10.21203/rs.3.rs-132928/v1 ◽

2021 ◽

Author(s):

Na Zhao ◽

Jian Wang ◽

Yong Yu ◽

Junyan Zhao ◽

Duanbing Chen

Keyword(s):

Infectious Diseases ◽

Prediction Model ◽

Complex Networks ◽

State Of The Art ◽

Experimental Results ◽

Vaccination Strategies ◽

Model Based ◽

The Future ◽

Rumor Control

Abstract Many state-of-the-art researches focus on predicting infection scale or threshold in infectious diseases or rumor and give the vaccination strategies correspondingly. In these works, most of them assume that the infected probability and initially infected individuals are known at the very beginning. Generally, infectious diseases or rumor has been spreading for some time when it is noticed. How to predict which individuals will be infected in the future only by knowing the current snapshot becomes a key issue in infectious diseases or rumor control. In this paper, a prediction model based on snapshot is presented to predict the potentially infected individuals in the future. Experimental results on synthetic and real networks demonstrate that the predicted infected individuals have rather consistency with the actual infected ones.

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Study on the Parameter Calibration of Interactive Highway Safety Design Model Based on China Interchange Accident Prediction Model

CICTP 2020 ◽

10.1061/9780784483053.175 ◽

2020 ◽

Author(s):

Aosiman Yilixiati ◽

Xiaowei Ren ◽

Shaoxiang Yang ◽

Tao Hu ◽

Delong Xiang

Keyword(s):

Prediction Model ◽

Highway Safety ◽

Design Model ◽

Parameter Calibration ◽

Accident Prediction ◽

Model Based ◽

Safety Design

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GENERATION AND PROPERTIES OF INFRARED RADIATION

Computational nanotechnology ◽

10.33693/2313-223x-2019-6-2-101-137 ◽

2019 ◽

Vol 6 (2) ◽

pp. 101-137

Author(s):

RUSTAM KHAKIMOVICH RAKHIMOV

Keyword(s):

Electromagnetic Radiation ◽

Infrared Radiation ◽

Radiation Spectrum ◽

Laws Of Nature ◽

Primary Source ◽

Ceramic Materials ◽

Experimental Results ◽

Ir Radiation ◽

Scattering Of Light

The article presents the main basic laws of nature and modern theories of the nature of electromagnetic radiation, its generation, characteristics, and laws of reflection, absorption and scattering of light. The principle of transformation of the radiation spectrum of the primary source using the developed ceramic materials are shown, as well as experimental results of the interaction of IR radiation with matter and various mechanisms of influence on various objects and processes are described.

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