This paper presents an implementation of a modified parallel-pyramidal algorithm for efficient image processing and identification. The method involves the creation of a system model that supports the integration of spatial, temporal and network data to form a dynamic pyramidal-hierarchical network. The paper details vector sorting techniques, Gtransformations for modifying vector elements, and a shifting procedure that facilitates efficient data transformation. The procedures described are integrated into a general data processing sequence that involves iterative application of these methods until the final result is achieved. How the algorithm works is shown in the example of laser beam projection analysis.
KEYWORDS: Education and training, Machine learning, Evolutionary algorithms, Object detection, Data modeling, Object recognition, Neural networks, Detection and tracking algorithms, Deep learning, Process modeling
This article addresses the development of an intelligent military aircraft identification system using artificial intelligence, machine learning, and deep self-learning technologies to enhance national security and military efficiency. The system aims to automatically and accurately recognize and classify aircraft in images, offering advantages over traditional methods such as higher productivity, speed, accuracy, and the elimination of human error. The importance of deep learning solutions for threat detection and operational efficiency is emphasized. Modern visual data-based object recognition methods and tools are analysed. The methodology includes collecting and preprocessing data, developing a high-precision recognition system based on Yolov8, annotating objects with Roboflow, and creating training, validation, and testing subsets in the yolo format. The paper details the dataset formation process and presents satisfactory results in fast recognition of military aircraft with high classification accuracy. A comparative analysis of Yolov8, R-CNN, and GPT-4 models shows Yolov8's superiority in prediction accuracy and performance. The article describes the model management system for adjusting hyperparameters, selecting object categories, and initiating the training and forecasting process. Testing results demonstrate Yolov8's optimality for military aircraft identification, achieving accurate target identification in complex situations using advanced deep learning algorithms.
KEYWORDS: Ultrasonics, Mathematical modeling, Ultrasonography, Receivers, Temperature metrology, Acoustics, Process control, Wave propagation, Signal processing, Signal attenuation
The aim of the research is to improve the technical parameters of ultrasonic meters by using the phenomenon of resonance and standing wave. The basis of the resonance method is the using standing acoustic waves arising in the medium due to the interference of the incident and reflected acoustic waves. The paper proposes a mathematical model of the ultrasonic resonance method for measuring parameters of liquid and gaseous media, which can be used for measuring control of parameters such as density, temperature, thickness, flow velocity, and others. To test the adequacy of the proposed model of ultrasonic wave propagation, its computer simulation and experimental studies were carried out. The air was chosen as the test medium (temperature 20° С, velocity 343m/s, atmospheric pressure 1atm). The time diagrams of the signal at the receiver for a distance of 34.3mm, when the resonance condition was satisfied, and for a distance of 34.73mm, when the ant resonance condition was satisfied, were modeled according to the proposed mathematical model. The dependence of the amplitude of the signal at the receiver is given for signal frequencies of 170–20kHz with a transmitter-to-receiver distance of 35.85mm and a sound speed of 340.8m/s. The simulation results confirm the adequacy of the purposed mathematical model. This allows proposing a new class of self-oscillating ultrasonic methods for measuring and control of medium parameters. The block diagram and the principle of operation of the auto-oscillating ultrasound meters for measuring the thickness, and gas temperature of test objects are described.
The paper proposes a new method for calculating the weight coefficients of an artificial neural network in the systems of technical diagnostics of hydro aggregates, in which it is proposed to use the coefficients of correlation between vibration signals in spatially distributed points of a hydro aggregate. A mathematical model and algorithm for calculation of weight coefficients of an artificial neural network are developed. The expediency of use of wavelet transformation of time realizations of a vibration signal is shown, as a result of which the received vibration signal is divided into amplitude-frequency-time spectrum, which leads to increase its informativeness. Experimentally confirmed the presence of strong inter-correlation links between spatially distributed points of the hydro aggregate and their dependence on the nature and place of application of disturbing forces. The dependence of the correlation coefficients on the load of the hydro aggregate and the water pressure in the reservoir is established. The obtained results can be considered as an experimental confirmation of the expediency of using the proposed method for calculating the weight coefficients of an artificial neural network.
The paper studies radiomeasuring device with a frequency output signal based on a pyroelectric primary converter. The frequency converter of optical radiation is designed using a bipolar transistor structure with a negative differential resistance and a pyroelectric sensitive element. A dynamic mathematical model of the frequency radiomeasuring converter has been developed which enables to determine the value of voltage or current at any point in the circuit at any particular time under the action of optical radiation in the region of infrared light. Analytical expressions for the transfer function and the sensitivity equation have been obtained. The sensitivity of the developed device is 20 kHz/μW/cm2.
Proposed is a new noncontact method for measurement of axial displacement of electric machine’s rotor in real-time mode and developed is the structural pattern of measurement procedure to implement this.
A tool has been proposed that allows rapid analysis to measure relative humidity during experimental research on the decomposition of municipal solid wastes for the development of highly efficient garbage trucks as the main link in the structure of machines for the collection and primary processing of municipal solid wastes. The structural scheme of the device for measuring relative humidity is given. A block diagram of the microcontroller control program algorithm for measuring relative humidity has been developed. The main characteristics of the proposed device are given. Calibration and experimental tests to measure the relative humidity of municipal solid wastes were conducted. As a result of the experimental studies presented in the work, the reliability of the measured parameter is confirmed.
The article presents the mechatronic hydraulic drive circuit, designed in Vinnytsia National Technical University. For the mechatronic hydraulic drive a linear mathematical model is developed. The influence of the mechatronic hydraulic drive parameters on static, dynamic and energy characteristics is investigated. Optimization parameters and their variation ranges are determined. In the process of parametric optimization such combination of parameters has been found, which provides optimal values of the mechatronic hydraulic drive characteristics.
KEYWORDS: Mechanics, Magnetism, Transformers, Sensors, Ferromagnetics, Chemical species, Transducers, Mathematical modeling, Magnetic sensors, Control systems
Developed was a new method of control of mechanic rigidity in assemblies of hydropower units that allows a real-time control of technological process, and proposed was the design for a primary measuring transducer of mechanic intensity as a component of the control method proposed, with its transformation equations obtained.
In the paper is suggested new noncontact method of temperature measurement based on the phenomenon of the
luminophor temperature decreasing, is developed the construction of the primary measurement transformer, that
implements suggested method, and got its transformation equation.
The paper proposes a method of conversion additive and multiplicative errors, mathematical models are obtained by a Taylor expansion of the transformation equations used measuring instruments in the instrumental component of the measurement uncertainty.
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