- Sensor Technology and Measurement Systems
- Advanced Sensor Technologies Research
- Engineering Technology and Methodologies
- Scientific Measurement and Uncertainty Evaluation
- Calibration and Measurement Techniques
- Advanced Control and Stabilization in Aerospace Systems
- Advanced Scientific Research Methods
- Military Technology and Strategies
- Neural Networks and Applications
- Advanced Data Processing Techniques
- Cybersecurity and Information Systems
- Analog and Mixed-Signal Circuit Design
- Embedded Systems and FPGA Design
- Advanced Electrical Measurement Techniques
- Embedded Systems Design Techniques
- Mechatronics Education and Applications
- Mechanical and Thermal Properties Analysis
- Advanced MEMS and NEMS Technologies
- Experimental Learning in Engineering
- Wireless Sensor Networks for Data Analysis
- Advanced Measurement and Detection Methods
- Environmental and Industrial Safety
- Water Quality Monitoring and Analysis
- Aerospace, Electronics, Mathematical Modeling
- Trade Secret Protection Methods
Lviv Polytechnic National University
2012-2024
University of Bielsko-Biała
2016-2023
State University "Kyiv Aviation Institute"
2017
West Ukrainian National University
2002-2014
Ternopil Institute for Social and Information Technologies
2003-2005
The rapid growth of geographic information technologies in the field processing and analysis spatial data has led to a significant increase role systems various fields human activity. However, solving complex problems requires use large amounts data, efficient storage on on-board recording media their transmission via communication channels. This leads need create new effective methods compression remote sensing Earth. possibility using fractal functions for image processing, which were...
The neural networks' method for temperature control of the thermocouple based sensor with controlled profile field (TBS CPTP) is considered in this paper.
Abstract The method of study and experimental researches the error thermocouple with controlled profile temperature field along main are considered in this paper. Experimentally determined values compared to theoretical estimations done using Newton’s law cooling. They converge well.
This paper considers the usage of artificial intelligence, in particular, neural networks, to correct and compensate thermocouple errors. There are correction tolerance, error due conversion characteristic drift under influence high operating temperatures as well compensation acquired thermoelectric inhomogeneity legs proposed this paper. The is carried out using individual mathematical models based on networks. It network method for controlling a temperature field inhomogeneity.
There is proposed method of control which could be implemented for heaters situated across electrodes the main thermocouple and provides stabilization profile temperature field. The has small requirements to memory space computing power so it using 8-bit microcontrollers.
It is presented the method of testing signal generation for ADC's integral nonlinearity identification in point using measurement converter based on multi-resistors voltage divider with averaging voltages all resistors. proved that such insensitive to resistances and systematic errors own There evaluated error identification, which caused by changing curvature conversion function neighborhood point. Also it proposed number incrementing — "basic" method, methodology development methods points...
There is presented error evaluation of temperature measurement system by thermocouple with controlled field. This provides precision correction systematic in the condition using thermocouples significant heterogeneity electrodes acquired during their exploitation variable
Two double-spend attack strategies on a proof-of-stake consensus are considered. For each strategy, the probability of its success is obtained, which depends network parameters and number confirmation blocks. These results can be used to define how many blocks vendor should wait after correspondent transaction before sending goods or services.
In this paper the data acquisition module based on sigma-delta analog to digital converter (ADC) and MCS-51 compatible microcontroller with dynamic remote reprogramming is presented. The main feature of presented in integral nonlinearity ADC correction. error proposed correction considered paper.
Intensive development of information systems has led to an increase in malicious software, which is associated with the emergence new types cyber attacks. Expanding impact attacks aimed at a variety resources system initiates creation special countermeasures that can be effective threats from unknown or ill-defined properties. There are enough developments, used solve problems identification, for example, method linguistic etalons formation detection intrusion systems, does not disclose...
The problem of ensuring the effective functioning measuring data acquisition system RLC-parameters for non-electric objects such as an environment, food industry, agriculture etc. has been actualized. It suggested to conduct remote metrological control at site analytical unit's exploitation with use differential measurement method and code-controlled impedance measures. exemplary conductivity measures structure resistive, inductive capacitive nature proposed. Their characteristics have...
The IEEE 1451.1 standard was studied and analyzed for resources needed a minimal implementation of the standard. As result, Minimal Model optimized 8051 series microcontrollers is proposed. In addition, in distributed intelligent sensor network built with remotely reprogrammable Network Capable Application Processors (NCAPs) presented.
This study contributes to improving the accuracy of temperature measurements with a platinum resistance detector (RTD) by proposing techniques mitigate error due self-heating operating current. An assessment measurement errors RTD was carried out ways improve their accuracy. High can be achieved individual calibration using voltage divider circuit measure resistance, substitution method, and transitional measure. It shown that each these approaches offers potential improvements in RTDs....
Requirements for the noise immunity of universal ADC sensor signal conversion are formulated. The structure antijamming dual slope use in distributive adaptive and intelligent measurement control systems is described. normal mode rejection calculated by simulation operating modes experimental research compared. It has been shown that sets developed compared with properties provide high flexibility this determining metrology characteristics setting.
Methods of improving the measurement accuracy by estimation and correction maximum error components, are analyzed. The functional structure channel in an intelligent sensing instrumentation system is described along with procedures component correction. An experimental setup, implementing such methods a multi-processing neural network configuration, presented.
A method of testing points generation for the identification and correction integral nonlinearity high performance ADC’s is presented. The proposed based on averaging all voltages multi-resistor voltage divider. influence resistors errors random ADC residual error divider investigated.
A dynamically reprogrammable network capable application processor (NCAP) that is based on the IEEE 1451 standard proposed in this paper. The dynamic reprogramming capability of NCAP allows an on-line changing its working program via a local area and supports set widely used communication interfaces. characteristics requirements structure simple version NCAP, MCS51 microcontroller, are evaluation computing power by simulation described.
Architecture of the Web-based measurement system is proposed in this paper. The prototype developed using LabView and Perl. There implemented http-protocol for interaction between nodes system. It allows monitoring controlling object's state through handy Web-browser.
A fundamentally new approach to restructuring information resource data is considered - internal on a quantitative sign for more favorable presentation of the encoded data. technology has been developed clustering based number series units. The analysis application method units improve statistical coding efficiency from position reducing length information.
The digital image technology is the most widely used in various fields, especially medical imaging. Digital can effectively improve efficiency of processing and ensure accuracy clinical diagnosis. This paper studies Whale Optimization Algorithm (WOA) to optimize optimal value Gamma correction enhancement. In process searching for solution, WOA an efficient algorithm, which has characteristics fast convergence high precision. order present detailed information image, applied search correction.
An analysis of drone detection methods was carried out in this paper. There is a reasoned choice the optimal method for implementation based on acoustic signals generated by drones. The set signal presented. These provide measurement coordinates and complement each other depending flight conditions. structure distributed sensor network oriented online drones their tracking has been synthesized. developed system provides appropriate complexity as well large flexibility scalability.