scholarly journals GEOMETRY ANALYSIS OF SUPERSONIC FLOW AROUND TWO AXIALLY SYMMETRICAL BODIES USING THE DIGITAL IMAGE PROCESSING METHOD

2019 ◽  
Vol 16 (33) ◽  
pp. 541-548
Author(s):  
V. V. BODRYSHEV ◽  
N. P. KORZHOV ◽  
L. G. NARTOVA ◽  
L. N. RABINSKIY

The scientific paper covers the research of the geometric laws of the intersection of two angle shock waves formed upon supersonic flow with zero incidence of two bodies. The positions of shock waves engaging with the surfaces of the models of axially symmetrical bodies are determined. Systems of analysis and decision support are based on the involvement of photographs (video frames) processing results by the image intensity parameter. This method facilitates the identification of the shock wave angle with a higher rate of probability, and, therefore, the more precise definition of the engagement points of the shock wave with the researched surface. This paper analyses the video frames of the interaction of shock waves using the digital image processing method by the image intensity parameter, the formulas determining the intersection point of shock waves, that occur upon the supersonic motion of two axially symmetric bodies near each other, are determined. The positions of the point of contact of the outgoing shock wave with the surface of the second object were determined, factoring in the difference in the the incoming and outgoing shock wave angles. The availability of sufficient statistics allowed to identify theoretical relationships between the gas flow rate, the geometric parameters of objects, the distances between them, density, pressure and image intensity in photographs. The method of digital image processing can be applied to the analysis of shock waves during the flow around a supersonic stream of bodies with a "blunt" end. The shock wave front in this case is described by a secondorder curve, upon the analysis of which it is necessary to select a portion of this curve, replacing it with some accuracy by a straight line segment (Mach line).

TEM Journal ◽  
2020 ◽  
pp. 449-459
Author(s):  
Valery V. Bodryshev ◽  
Nikolay P. Korzhov ◽  
Lev N. Rabinskiy

The article is devoted to the study of the geometric laws of intersection of angle shock wave formed during supersonic flow around two axisymmetric solids. An analysis of such an experiment is given by the method of processing photographs (video frames) by the parameter of image intensity. This method allows determining with high accuracy the angle of inclination of shock waves and subsequently identifies the contact points of the shock wave with the surface of the models. The proposed approach to the geometric analysis of supersonic flow around two solids makes it possible to look differently at the interference of shock waves and evaluate the qualitative and quantitative processes that occur during their interaction.


Over the last decades, digital image processing based fire and smoke detection have been improving steadily to provide a more accurate detection results in the area of surveillance security system. Detection of the fire and smoke from the surveillance videos is very challenging task due to the complex structural properties of the video frames or images and need improvisation in the existing work by utilization of feature selection or optimization approach to select on optimal feature according to the fire and smoke. A research based on the combination of various feature extraction techniques with feature selection approach for fire and smoke detection has been presented in this paper. In this research, we develop Fire and Smoke Detection (FSD) system using digital image processing with the concept of Speed up Robust Feature (SURF) along with the Intelligent Water Drops (IWD) as a feature selection and optimization algorithm. Here, Artificial Neural Network (ANN) is used as an Artificial Intelligence (AI) technique with that helps to select a set of optimal feature from the extracted by SURF descriptor from the video frames. By utilizing the concept of optimized ANN, the accuracy of proposed FSD system is increases in terms of detection accuracy and with minimum percentage of error. At last, the performance of the FSD system is calculated to validate the model and this shows that it is possible to use IWD with SURF as a feature extraction technique in order to detect the fire or smoke form the surveillance video with minimum error rate and the simulation results clearly show the effectiveness of proposed FSD system


2020 ◽  
Vol 173 (6) ◽  
pp. 304-316
Author(s):  
Seyed Mohammad Ali Zomorodian ◽  
Mohamad Jafar Ataee Noghab ◽  
Masih Zolghadr ◽  
Brendan C. O'Kelly

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