scholarly journals MODELING IN THE INFORMATION AND MEASURING SYSTEM OF CUSTOMS CONTROL

2021 ◽  
Vol 2 (37) ◽  
pp. 80-87
Author(s):  
P. Steblyanko ◽  
T. Katkova ◽  
B. Stelyuk
Keyword(s):  
A Priori ◽  
Data Bank ◽  
Point Of View ◽  
Anechoic Chamber ◽  
Measuring System ◽  
Measuring Instruments ◽  
Functional Scheme ◽  
Information Measuring System ◽  
Priori Information ◽  
Artificial Origin

The possibility of application in the practice of customs control of the anechoic regime created by means of non-standardized measuring instruments in the form of an anechoic chamber is analyzed. From the standpoint of the principle of reliability of confirmation of conformity, the calibration of a hole-like anechoic chamber was performed as a basis for additional tools in the information system of customs control of an anechoic chamber. The task is to create a data bank of images of typical objects for the introduction into customs practice of methods and means of radar detection and recognition. The functional scheme of the laboratory installation from the anechoic chamber is given and the results of experimental researches are presented. Comprehensive mathematical modeling in the information-measuring system of customs control was carried out, which allowed to choose a more reliable required mode of certification of the involved control-measuring equipment not only from the point of view of their information security due to detection of own accompanying parasitic electromagnetic radiation objects. Note that, for the purity of the experiment when creating a catalog of images of hidden objects of artificial origin, it is advisable to use the anechoic mode, created by special methods and techniques that implement them, for example, anechoic cameras. Thus, without a priori information about hidden objects of artificial origin, it is advisable to create banks of images of hidden objects, taking into account their interaction in the process of detection, measurement and recognition.

scholarly journals Optimization of Analog-Discrete Conversions of the Input Action in the Subsystem of the Receiving Channel of the Information-Measuring System

2020 ◽  
Vol 23 (6) ◽  
pp. 256-270
Author(s):  
A. A. Burmaka ◽  
T. N. Govorukhina ◽  
R. Y. Goryainov
Keyword(s):  
Functional Organization ◽  
A Priori ◽  
Optimization Technique ◽  
Measuring System ◽  
Measurement Information ◽  
Information Measuring ◽  
Input Action ◽  
Information Measuring System ◽  
Rational Construction ◽  
Random Nature

Perpose of research is to develop a technique for developing system and local models of targeted processes of functioning of the subsystem of the receiving channel of an information-measuring system. These models should make it possible to substantiate the possibility of optimizing the processes of interaction of the components of the analog-discrete conversion of the input action of a random nature.Methods. The technique for obtaining measurement information in the information-measuring system involves the use of algorithms that minimize information loss at each stage of conversion of the input action. A possible approach is the use of rational and optimal solutions when selecting and substantiating functional support of the input action ),,( St  in order to obtain current measurement information while minimizing residual uncertainty.Results. To solve this problem, it is necessary to build a system model for the totality of the basic functions that determine the implementation of the targeted process of analog-discrete conversion ) ,,( S t  ; to substantiate the way these functions are implemented, the criteria for their interaction; to determine the optimization technique and (or) rational construction of local targeted processes; to prepare guidelines and rules for structural constructions of the subsystem of the information-measuring system, the input actions of which have priori unknown characteristics. The paper proposes an approach to the functional organization of analog-discrete conversions of the input action of a random nature in the receiving channel subsystem of an information-measuring system, which allows improving the quality of the receiving channel of the information-measuring system and the operation of its components by optimizing the interrelated targeted processes for detecting pulse signals and measuring their parameters against the background of noise with a priori unknown characteristics.Conclusion. The application of procedures for temporary selection of signals controlled by the detection channel allows increasing the speed and accuracy of determining their parameters, increasing the noise immunity of the receiving channel subsystem of the information-measuring system, reducing the probability of skipping weak signals as well as increasing the accuracy of measuring the temporal parameters of pulse signals. 

scholarly journals Aircraft Turbine Engine Automatic Control Based on Adaptive Dynamic Models

2020 ◽  
Vol 2020 (4) ◽  
pp. 61-70
Author(s):  
Sergiy Yepifanov
Keyword(s):  
Automatic Control ◽  
Thermodynamic Model ◽  
Dynamic Models ◽  
A Priori ◽  
Static Model ◽  
Measuring System ◽  
Model Parameters ◽  
A Priori Information ◽  
Static Models ◽  
Priori Information

AbstractOne of the most perspective development directions of the aircraft engine is the application of adaptive digital automatic control systems (ACS). The significant element of the adaptation is the correction of mathematical models of both engine and its executive, measuring devices. These models help to solve tasks of control and are a combination of static models and dynamic models, as static models describe relations between parameters at steady-state modes, and dynamic ones characterize deviations of the parameters from static values.The work considers problems of the models’ correction using parametric identification methods. It is shown that the main problem of the precise engine simulation is the correction of the static model. A robust procedure that is based on a wide application of a priori information about performances of the engine and its measuring system is proposed for this purpose. One of many variants of this procedure provides an application of the non-linear thermodynamic model of the working process and estimation of individual corrections to the engine components’ characteristics with further substitution of the thermodynamic model by approximating on-board static model. Physically grounded estimates are obtained based on a priori information setting about the estimated parameters and engine performances, using fuzzy sets.Executive devices (actuators) and the most inertial temperature sensors require correction to their dynamic models. Researches showed, in case that the data for identification are collected during regular operation of ACS, the estimates of dynamic model parameters can be strongly correlated that reasons inadmissible errors.The reason is inside the substantial limitations on transients’ intensity that contain regular algorithms of acceleration/deceleration control. Therefore, test actions on the engine are required. Their character and minimum composition are determined using the derived relations between errors in model coefficients, measurement process, and control action parameters.

scholarly journals INSTALLATION FOR PHYSICAL SIMULATION OF LASER LOCATION PROCESSES

2021 ◽  
Vol 18 (1) ◽  
pp. 35-52
Author(s):  
V. I. Santoniy ◽  
Ya. I. Lepikh ◽  
V. V. Yanko ◽  
L. M. Budiyanskaya ◽  
I. A. Ivanchenko ◽  
...  
Keyword(s):  
Physical Modeling ◽  
Physical Simulation ◽  
Measuring System ◽  
Laser Ranging ◽  
Background Illumination ◽  
Destabilizing Factors ◽  
Information Measuring System ◽  
Atmospheric Channel ◽  
Detection And Recognition ◽  
Artificial Origin

A device for physical modeling of laser ranging processes has been developed, taking into account aerosol interference phenomena of natural and artificial origin and active background illumination. The installation simulates the processes of object detection and recognition by a laser information-measuring system (LIMS) under conditions of external destabilizing factors and obstacles in the atmospheric channel.

MEASUREMENT AS ABDUCTION

2021 ◽  
pp. 1-26
Author(s):  
Roman Z. Morawski
Keyword(s):  
Inverse Problems ◽  
A Priori ◽  
Abductive Reasoning ◽  
Measuring System ◽  
A Priori Information ◽  
The Core ◽  
Measurement Results ◽  
Priori Information ◽  
Resolution Spectrometer ◽  
Selection Of

Abstract It is argued, in this paper, that the core operation underlying any measurement – the inverse modelling under uncertainty – is equivalent to quantitative abductive reasoning which consists in the selection of the best estimate of a measurand (i.e. a quantity to be measured) in a set of admissible solutions, using a priori information: (i) on the measurand, (ii) on the measuring system coupled with an object under measurement, and (iii) on the influence of the environment including the user of the measurement results. There are two key premises of this claim: a systematic interpretation of measurement in terms of inverse problems, proposed earlier by the author, and a logical link between inverse problems and abduction, identified by the Finnish philosopher of science Ilkka Niiniluoto. The title claim of this paper is illustrated with an expanded example of measuring optical spectrum by means of a low-resolution spectrometer.

scholarly journals OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

2015 ◽  
Vol 8 (12) ◽  
pp. 13471-13524 ◽  
Author(s):  
R. Lutz ◽  
D. Loyola ◽  
S. Gimeno García ◽  
F. Romahn
Keyword(s):  
A Priori ◽  
Recognition Algorithm ◽  
Cloud Fraction ◽  
Polarization Measurement ◽  
Point Of View ◽  
Computational Time ◽  
Ozone Monitoring Instrument ◽  
Monitoring Instrument ◽  
Ozone Monitoring ◽  
Priori Information

Abstract. This paper describes an approach for cloud parameter retrieval (radiometric cloud fraction estimation) using the polarization measurements of the Global Ozone Monitoring Experiment-2 (GOME-2) on-board the MetOp-A/B satellites. The core component of the Optical Cloud Recognition Algorithm (OCRA) is the calculation of monthly cloud-free reflectances for a global grid (resolution of 0.2° in longitude and 0.2° in latitude) and to derive radiometric cloud fractions. These cloud fractions will serve as a priori information for the retrieval of cloud top height (CTH), cloud top pressure (CTP), cloud top albedo (CTA) and cloud optical thickness (COT) with the Retrieval Of Cloud Information using Neural Networks (ROCINN) algorithm. This approach is already being implemented operationally for the GOME/ERS-2 and SCIAMACHY/ENVISAT sensors and here we present version 3.0 of the OCRA algorithm applied to the GOME-2 sensors. Based on more than six years of GOME-2A data (February 2007–June 2013), reflectances are calculated for ≈ 35 000 orbits. For each measurement a degradation correction as well as a viewing angle dependent and latitude dependent correction is applied. In addition, an empirical correction scheme is introduced in order to remove the effect of oceanic sun glint. A comparison of the GOME-2A/B OCRA cloud fractions with co-located AVHRR geometrical cloud fractions shows a general good agreement with a mean difference of −0.15±0.20. From operational point of view, an advantage of the OCRA algorithm is its extremely fast computational time and its straightforward transferability to similar sensors like OMI (Ozone Monitoring Instrument), TROPOMI (TROPOspheric Monitoring Instrument) on Sentinel 5 Precursor, as well as Sentinel 4 and Sentinel 5. In conclusion, it is shown that a robust, accurate and fast radiometric cloud fraction estimation for GOME-2 can be achieved with OCRA by using the polarization measurement devices (PMDs).

scholarly journals DEVELOPMENT OF THE INFORMATION AND MEASUREMENT SYSTEM OF CONTROLLING THE MICRO-CLIMATE OF THERMAL ROOMS

2019 ◽  
pp. 32-40
Author(s):  
A. G. Vynnychuk ◽  
V. V. Hryniuk
Keyword(s):  
Soil Moisture ◽  
Soil Temperature ◽  
Air Temperature ◽  
Electrical Circuit ◽  
Measuring System ◽  
Metrological Analysis ◽  
Functional Scheme ◽  
Information Measuring System ◽  
And Control ◽  
Measurement And Control

The important issue of increasing the efficiency and process optimization of growing crops, greenhouses in particular, is considered. The urgency of information-measuring system (IMS) development for controlling the microclimate of greenhouses is substantiated. There was held the analysis of the main microclimate parameters in greenhouses, which contribute to the intensification of plant growth, as well as to increasing the efficiency of growing crops in general. The analysis showed that the main information parameters of the greenhouses microclimate are: soil temperature, soil moisture, air temperature, humidity, light in the greenhouse. It is the measurement and control of these parameters that should be the basis for IMS development which is aimed to control of the microclimate of greenhouses. The main tasks that the developed IMS should perform and its functional scheme are formulated. The principle of IMS work is described in the article. The main elements of the IMS are selected, namely microprocessor, display, sensors for measuring soil temperature, soil moisture, air temperature, air humidity and light of a greenhouse. The diagram of sensors location in the greenhouse for optimal control of the basic microclimate parameters is presented. The electrical circuit diagram of the IMS is developed and the connection features of the sensors are described. Basing on functional and electrical schematic diagrams, a working model of the IMS for microclimate control of the greenhouses was constructed. In order to confirm the performance, a test of developed IMS was performed. There were tested three series of measurements of each parameter during the day. Also, metrological analysis of the developed IMS was performed and the measurement uncertainty of each parameter result was calculated.

scholarly journals OCRA radiometric cloud fractions for GOME-2 on MetOp-A/B

2016 ◽  
Vol 9 (5) ◽  
pp. 2357-2379 ◽  
Author(s):  
Ronny Lutz ◽  
Diego Loyola ◽  
Sebastián Gimeno García ◽  
Fabian Romahn
Keyword(s):  
A Priori ◽  
Recognition Algorithm ◽  
Cloud Fraction ◽  
Polarization Measurement ◽  
Point Of View ◽  
Computational Time ◽  
Ozone Monitoring Instrument ◽  
Monitoring Instrument ◽  
Ozone Monitoring ◽  
Priori Information

Abstract. This paper describes an approach for cloud parameter retrieval (radiometric cloud-fraction estimation) using the polarization measurements of the Global Ozone Monitoring Experiment-2 (GOME-2) onboard the MetOp-A/B satellites. The core component of the Optical Cloud Recognition Algorithm (OCRA) is the calculation of monthly cloud-free reflectances for a global grid (resolution of 0.2° in longitude and 0.2° in latitude) to derive radiometric cloud fractions. These cloud fractions will serve as a priori information for the retrieval of cloud-top height (CTH), cloud-top pressure (CTP), cloud-top albedo (CTA) and cloud optical thickness (COT) with the Retrieval Of Cloud Information using Neural Networks (ROCINN) algorithm. This approach is already being implemented operationally for the GOME/ERS-2 and SCIAMACHY/ENVISAT sensors and here we present version 3.0 of the OCRA algorithm applied to the GOME-2 sensors. Based on more than five years of GOME-2A data (April 2008 to June 2013), reflectances are calculated for  ≈  35 000 orbits. For each measurement a degradation correction as well as a viewing-angle-dependent and latitude-dependent correction is applied. In addition, an empirical correction scheme is introduced in order to remove the effect of oceanic sun glint. A comparison of the GOME-2A/B OCRA cloud fractions with colocated AVHRR (Advanced Very High Resolution Radiometer) geometrical cloud fractions shows a general good agreement with a mean difference of −0.15 ± 0.20. From an operational point of view, an advantage of the OCRA algorithm is its very fast computational time and its straightforward transferability to similar sensors like OMI (Ozone Monitoring Instrument), TROPOMI (TROPOspheric Monitoring Instrument) on Sentinel 5 Precursor, as well as Sentinel 4 and Sentinel 5. In conclusion, it is shown that a robust, accurate and fast radiometric cloud-fraction estimation for GOME-2 can be achieved with OCRA using polarization measurement devices (PMDs).

Confidentiality of Statistical Records: A Threat-Monitoring Scheme for On Line Dialogue

1976 ◽  
Vol 15 (01) ◽  
pp. 36-42 ◽  
Author(s):  
J. Schlörer
Keyword(s):  
Statistical Data ◽  
Cost Benefit ◽  
Data Bank ◽  
High Ratio ◽  
Point Of View ◽  
Data Sets ◽  
Monitoring Scheme ◽  
Access Controls ◽  
On Line ◽  
Bona Fide

From a statistical data bank containing only anonymous records, the records sometimes may be identified and then retrieved, as personal records, by on line dialogue. The risk mainly applies to statistical data sets representing populations, or samples with a high ratio n/N. On the other hand, access controls are unsatisfactory as a general means of protection for statistical data banks, which should be open to large user communities. A threat monitoring scheme is proposed, which will largely block the techniques for retrieval of complete records. If combined with additional measures (e.g., slight modifications of output), it may be expected to render, from a cost-benefit point of view, intrusion attempts by dialogue valueless, if not absolutely impossible. The bona fide user has to pay by some loss of information, but considerable flexibility in evaluation is retained. The proposal of controlled classification included in the scheme may also be useful for off line dialogue systems.

Sign in / Sign up

Export Citation Format

Share Document