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Ranking of the utility of selected geostatistical interpolation methods in conditions of highly skewed seismic data distributions: a case study of the Baltic Basin (Poland)

Justyna Sowińska-Botor Wojciech Mastej Tomasz Maćkowski
Gospodarka Surowcami Mineralnymi - Mineral Resources Management | 2023 | vol. 39 | No 3 | 149-172 | DOI: 10.24425/gsm.2023.147555
Keywords seismic data processing shallow subsurface uncertainty variability
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Abstract

The suitability of several low-labor geostatistical procedures in the interpolation of highly positively skewed seismic data distributions was tested in the Baltic Basin. These procedures were a combination of various estimators of the model of spatial variation (theoretical variogram) and kriging techniques, together with the initial data transformation to normal distribution or lack thereof. This transformation consisted of logarithmization or normalization using the anamorphosis technique. Two variations of the theoretical variogram estimator were used: the commonly used classical Matheron estimator and the inverse covariance estimator (InvCov), which is robust with regard to non-ergodic data. It was expected that the latter would also be resistant to strongly skewed data distributions. The kriging techniques used included the commonly used ordinary kriging, simple kriging useful for standardized data and the non-linear median indicator kriging technique. It was confirmed that normalization (anamorphosis) is the most useful and less laborious geostatistical procedure of those suitable for such data, which results in a standardized normal distribution. The second, not obvious statement for highly skewed data distributions suggests that the non-ergodic inverted covariance (InvCov) estimator of variogram has an advantage over the Matheron’s estimator. It gives a better assessment of the C 0 (nugget effect) and C (sill) parameters of the spatial variability model. Such a conclusion can be drawn from the fact that the higher the estimation of the relative nugget effect L = C 0/(C 0 + C) using the InvCov estimator, the weaker the correlation between the kriging estimates and the observed values. The values of the coefficient L estimates obtained by using the Matheron’s estimator do not meet this expectation.
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Authors and Affiliations

Justyna Sowińska-Botor
1
Wojciech Mastej
1
ORCID: ORCID
Tomasz Maćkowski
1
ORCID: ORCID
  1. AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Kraków, Poland

Exhaled breath analysis by resistive gas sensors

Tomasz Chludziński Andrzej Kwiatkowski
Metrology and Measurement Systems | 2020 | vol. 27 | No 1 | 81-89 | DOI: 10.24425/mms.2020.131718
Keywords resistive gas sensors data processing exhaled breath analysis
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Abstract

Breath analysis has attracted human beings for centuries. It was one of the simplest methods to detect various diseases by using human smell sense only. Advances in technology enable to use more reliable and standardized methods, based on different gas sensing systems. Breath analysis requires the detection of volatile organic compounds (VOCs) of the concentrations below individual ppm (parts per million). Therefore, advanced detection methods have been proposed. Some of these methods use expensive and bulky equipment (e.g. optical sensors, mass spectrometry –MS), and require time-consuming analysis. Less accurate, but much cheaper, are resistive gas sensors. These sensors use porous materials and adsorptiondesorption processes, determining their physical parameters.We consider the problems of applying resistive gas sensors to breath analysis. Recent advances were underlined, showing that these economical gas sensors can be efficiently employed to analyse breath samples. General problems of applying resistive gas sensors are considered and illustrated with examples, predominantly related to commercial sensors and their long-term performance. A setup for collection of breath samples is considered and presented to point out the crucial parts and problematic issues.

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Authors and Affiliations

Tomasz Chludziński
Andrzej Kwiatkowski

Statement and Solution of Multicriteria Tasks of Database Modular Block-Schemes Development

Waldemar Wojcik Aliya Kalizhanova Sultan Akhmetov Gulnaz Nabiyeva Ainur Kozbakova
International Journal of Electronics and Telecommunications | 2020 | vol. 66 | No 1 | 237-242 | DOI: 10.24425/ijet.2020.131869
Keywords models and methods discrete programming data processing system multicriteria problem
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Abstract

The paper considers developed and offered an effective algorithm for solving the block-symmetrical tasks of polynomial computational complexity of data processing modular block-schemes designing. Currently, there are a large number of technologies and tools that allow you to create information systems of any class and purpose. To solve the problems of designing effective information systems, various models and methods are used, in particular, mathematical discrete programming methods. At the same time, it is known that such tasks have exponential computational complexity and can not always be used to solve practical problems. In this regard, there is a need to develop models and methods of the new class, which provide the solution of applied problems of discrete programming, aimed at solving problems of large dimensions. The work has developed and proposed block-symmetric models and methods as a new class of discrete programming problems that allow us to set and solve applied problems from various spheres of human activity. The issues of using the developed models are considered. and methods for computer-aided design of information systems (IS).

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Authors and Affiliations

Waldemar Wojcik
Aliya Kalizhanova
Sultan Akhmetov
Gulnaz Nabiyeva
Ainur Kozbakova

Hydrogeological monitoring of karst activity based on regime observations in the territory of karst lakes

Oleg R. Kuzichkin Roman V. Romanov Nikolay V. Dorofeev Gleb S. Vasilyev Anastasia V. Grecheneva
Journal of Water and Land Development | 2021 | No 48 | 130-140 | DOI: 10.24425/jwld.2021.136156
Keywords data processing algorithm geodynamics geoelectric facility hydrogeological monitoring karst lake phase-measuring method
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Abstract

This article shows that the most sensitive indicator of local and regional karst activity in territories of apparent karst processes is the behaviour of karst lakes. The authors propose a hydrogeological monitoring methodology for the karst pro-cess based on the phase-measuring geoelectric control method in the coastal zone of karst lakes. The geoelectric current control of hydrogeological changes in the medium at local levels uses a multi-frequency vertical electric sounding com-bined with a phase-measuring method of registering the geoelectric signal. These proven methods permit to distinguish var-iations of spatial parameters and the electric conductivity of several layers at a time. Moreover, they significantly increase the noise resistance and sensitivity of the measuring system. An adaptive algorithm function of the measuring complex for geoelectric monitoring of karst lakes’ coastal zones was developed to control the operation of facilities and data collection systems. Based on an example of a lake where karst processes are active, the key zones of hydrogeological control were identified depending on karst manifestations. The research confirmed the possibility of local and regional monitoring of the development and forecasting of destructive karst-suffosion processes based on hydrogeological regime observations of karst lakes.
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Authors and Affiliations

Oleg R. Kuzichkin
1
ORCID: ORCID
Roman V. Romanov
2
ORCID: ORCID
Nikolay V. Dorofeev
2
ORCID: ORCID
Gleb S. Vasilyev
1
ORCID: ORCID
Anastasia V. Grecheneva
1
ORCID: ORCID
  1. Belgorod National Research University, 85 Pobedy St., 308015 Belgorod, Russia
  2. Vladimir State University, Vladimir, Russia

A Solar-Powered Fertigation System Based on Low-Cost Wireless Sensor Network Remotely Controlled by Farmer for Irrigation Cycles and Crops Growth Optimization

P. Visconti R. de Fazio P. Primiceri D. Cafagna S. Strazzella N.I. Giannoccaro
International Journal of Electronics and Telecommunications | 2020 | vol. 66 | No 1 | 59-68 | DOI: 10.24425/ijet.2019.130266
Keywords precise farming IoT devices fertigation system sensors solar-powered WSN data processing electronic boards
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Abstract

Nowadays, the technological innovations affect all human activities; also the agriculture field heavily benefits of technologies as informatics, electronic, telecommunication, allowing huge improvements of productivity and resources exploitation. This manuscript presents an innovative low cost fertigation system for assisting the cultures by using dataprocessing electronic boards and wireless sensors network (WSN) connected to a remote software platform. The proposed system receives information related to air and soil parameters, by a custom solar-powered WSN. A control unit elaborates the acquired data by using dynamic agronomic models implemented on a cloud platform, for optimizing the amount and typology of fertilizers as well as the irrigations frequency, as function also of weather forecasts got by on-line weather service.

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Authors and Affiliations

P. Visconti
R. de Fazio
P. Primiceri
D. Cafagna
S. Strazzella
N.I. Giannoccaro

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