Universal Software Research Articles

USRP를 이용한 64-QAM OFDM 소프트웨어 정의 라디오 구현

In this study, a software-defined radio based on orthogonal frequency division multiplexing (OFDM) is implemented to optimize universal software radio peripheral (USRP) for the optimal bit error rate. Two USRP B200s are used as the hardware platform, and an OFDM signal of 802.11a WiFi standard is used. The wireless system works with 64-QAM modulation and operates at the carrier frequency of 2.61 GHz to avoid interference. An OFDM signal generally has a large peak to average power ratio (PAPR) such that the transceiver is optimized to obtain the linearity requirement. To optimize the linearity of the USRP, a 14 dB back-off is set, and the base band signal of 20 MHz is up-sampled to 40 MHz. In addition, a digital filter is added to eliminate the unwanted signals. To analyze the performance of the implemented system, the bit error rate to signal-to-noise ratio is measured, and a maximum bit error rate of 1.75×10−6 is obtained without error correction. Furthermore, the standard channel codes are implemented to correct the bit errors occurring in a wireless channel. The image data are successfully transmitted and received without bit errors by using the channel codes.

The Stabilization Ensuring of the Underground Pipelines Design State in the Permafrost Conditions

The article considers one of the possible options for improving the technology of construction of underground pipelines in conditions of permafrost soils, which today is very relevant. The most significant disadvantages of the existing methods of underground laying of pipelines on permafrost soils are the thermal and mechanical impact of the pipeline on the soil base during operation and the occurrence of unacceptable plastic deformations of the pipeline. The purpose of the studies is to prevent or minimize the thermal impact of the pipeline on MMG during operation, and as a result, to ensure stabilization of the design position of the pipeline by preventing unacceptable plastic deformation of the pipeline. The main tasks solved in research: develop a method of laying an underground pipeline that eliminates thermal impact on the containing frozen soil; simulate the underground pipeline laying structure and calculate stress-strain state in the ANSYS software complex, as well as forecast calculation of thermal interaction of the structure on frozen soil in the FROST 3D Universal software complex.

How Much Benefit Can Dynamic Frequency Scaling Bring to WiFi?

Dynamic frequency scaling (DFS) is a state-of-the-art power-saving technique. Various DFS-based WiFi schemes have been proposed for power saving. These schemes demonstrated the power-saving feasibility of DFS via hardware implementation or simulation. This paper is the first that proposes a general theoretical framework to evaluate the performance of these schemes, where we use Queuing theory to analyze the system throughput and use Semi-Markov theory to quantify the power consumption. In addition, we adopt the energy efficiency (i.e., the throughput per energy cost) to compare the gains of these schemes. This efficiency measure can be used to make a trade-off between system throughput and power consumption and therefore help us choose appropriate parameter settings. Extensive simulations verify that our theoretical model is very accurate and our theoretical results well match with universal software radio peripheral (USRP) experiment results. Our study shows that DFS can greatly improve the energy efficiency of WiFi networks even under low SNR conditions; for example, when SNR = 9.7 dB (i.e., the basic requirement for decoding packets in WiFi), the improvement is around 25 percent for 802.11b at rate 11 Mb/s and 16 percent for 802.11 ac at rate 1300 Mb/s. Our study also shows that DFS can be well integrated with other commonly used power-saving mechanisms to improve energy efficiency further.

A Comparative Experimental Study of MIMO A&F and D&F Relay Nodes Using a Software-Defined Radio Platform

The relaying technologies in co-operative systems are considered a core element in actual and future wireless communications, assisting the network by enhancing its reliability and improving its capability through exploiting co-operativity. In this paper, a co-operative system testbed based on Software Defined Radio (SDR) through Universal Software Radio Peripherals (USRPs) and the MatlabTM software is presented. The main novelty in this development of the platform is the implementation of 4G signal features, such as Physical Downlink Shared Channel (PDSCH) and Downlink Shared Channel (DL-SCH) for transport channel coding, which is one of the main contribution of the paper. The developed Multi-Input and Multi-Output (MIMO) SDR co-operative platform is capable of developing prototypes for the Relay Nodes. More specifically, the Amplify-&-Forward (A&F)—with or without Zero Forcing (ZF) and Minimum Mean Square Error (MMSE) Pre-Equalization—and Decode-&-Forward (D&F) protocols were implemented. Both Single-Input and Single-Output (SISO) and MIMO modes are supported by our testbed. The developed A&F and D&F MIMO co-operative systems in this paper utilize Orthogonal Space-Frequency Block Codes (OSFBCs) for the transmission of data symbols from the source to the destination. Our results show that relay nodes can substantially improve the Bit Error Rate (BER) and throughput in communications between the eNodeB (eNB) and User Equipment (UE). In particular, the maximum throughput achieved by conventional MIMO A&F is 9.3Mbps at SNR=16dB, which is 4Mbps higher than throughput of MIMO Non-Co-operative. It also shows the capacity improvement when considering the pre-equalization in the A&F schemes, compared to the conventional A&F Relay Node. For example, with MIMO A&F-MMSE pattern, a value of 11.8 Mbps is achieved for SNR=16dB, which is 84.8 % of the maximum system throughput (13.95 Mbps). On the other hand, the obtained results with D&F schemes far exceed those obtained with A&F strategies, achieving the maximum performance with the 2 × 2 MIMO D&F protocol from SNR=8dB. Furthermore, this work constitutes a first stage to the implementation of a 5G New-Radio Co-operative System platform.

Total body and regional surface area: Quantification with low-cost three-dimensional optical imaging systems.

Body surface area (SA) is a widely used physical measure incorporated into multiple thermophysiology and evolutionary biology models currently estimated in humans either with empirical prediction equations or costly whole-body laser imaging systems. The introduction of low-cost 3D scanners provides a new opportunity to quantify total body (TB) and regional SA, although a critical question prevails: can these devices acquire the quality of depth information and process this initial data to form a mesh that has the fidelity needed to generate accurate SA estimates? This question was answered by comparing SA estimates calculated using images from four commercial 3D scanners in 108 adults to corresponding estimates acquired with a whole-body laser system. This was accomplished by processing initial mesh data from all devices, including the laser system, with the same universal software adapted specifically for repairing mesh gaps, identifying landmarks, and generating SA measurements. TB SA measured on all four 3D scanners was highly correlated with corresponding laser system estimates (R2 s, 0.98-0.99; all p< 0.001) with some small but significant mean differences (-0.19 to 0.06 m2 ); root-mean square errors (RMSEs) were small (0.02-0.03 m2 ); and significant bias was present for one device. Qualitatively similar results (e.g., R2 s, 0.78-0.95; mean Δs, -0.05 to 0.02 m2 ; RMSEs, 0.01-0.03 m2 ) were present for trunk, arm, and leg SA comparisons. The current study observations demonstrate that low-cost and practical 3D optical scanners are capable of accurately quantifying TB and regional SA, thus opening new opportunities for evaluating human phenotypes and related physiological characteristics.

An Experimental Study on D2D Route Selection Mechanism in 5G Scenarios

This paper demonstrates a route selection mechanism on a testbed with heterogeneous device-to-device (D2D) wireless communication for a 5G network scenario. The source node receives information about the primary users’ (PUs’) (or licensed users’) activities and available routes from the macrocell base station (or a central controller) and makes a decision to select a multihop route to the destination node. The source node from small cells can either choose: (a) a route with direct communication with the macrocell base station to improve the route performance; or (b) a route with D2D communication among nodes in the small cells to offload traffic from the macrocell to improve spectrum efficiency. The selected D2D route has the least PUs’ activities. The route selection mechanism is investigated on our testbed that helps to improve the accuracy of network performance measurement. In traditional testbeds, each node (e.g., Universal Software Radio Peripheral (USRP) that serves as the front-end communication block) is connected to a single processing unit (e.g., a personal computer) via a switch using cables. In our testbed, each USRP node is connected to a separate processing unit, i.e., raspberry Pi3 B+ (or RP3), which offers three main advantages: (a) control messages and data packets are exchanged via the wireless medium; (b) separate processing units make decisions in a distributed and heterogeneous manner; and (c) the nodes are placed further apart from one another. Therefore, in the investigation of our route selection scheme, the response delay of control message exchange and the packet loss caused by the operating environment (e.g., ambient noise) are implied in our end-to-end delay and packet delivery ratio measurement. Our results show an increase of end-to-end delay and a decrease of packet delivery ratio due to the transmission of control messages and data packets in the wireless medium in the presence of the dynamic PUs’ activities. Furthermore, D2D communication can offload 25% to 75% traffic from macrocell base station to small cells.

Forming a convex flange by pulsed-magnetic field pressure

A large number of parts used in aircraft are D16AM sheet metal flanged parts. Stress plays a role in reducing damage and improving plasticity. Common to such parts is the necessary shaping to increase rigidity and reduce weight. High strain rate forming is a dynamic shaping process that uses the instantaneous impact pressure generated by suddenly released energy to plastically process metal sheets for the numerical study and simulation of the process of magnetic-pulse forming (MPF) of convex flanging. The LS-DYNA program was used, a universal software multi-purpose system of the finite element complex. A computer simulation technique was developed, which allows, in accordance with the required geometry of the die surface and with the selected loading schemes, to take into account the change in load over the deformable area and set the distribution of the pulsed magnetic field (PMF) pressure intensity, vary the geometric parameters of the blanks and the characteristics of the material. In the case of elastic-plastic deformation of a solid, within the framework of the modern approach, it is a cooperative deformation process caused by correlated motion in an ensemble of crystal lattice dislocations. This causes a change in the volume of a deformable body under load by the pressure of a pulsed magnetic field; when the load is removed, the internal stress is almost completely removed and the volume of the body takes the required shape in our case in the form of a convex flange.

Experimentations on the Transmit Power of a Universal Software Radio Peripheral Using GNU Radio Framework and a Handheld RF Explorer

The Universal Software Radio Peripheral (USRP) and GNU Radio framework have a wide range of applications and are actively in use for teaching, research and for practical deployment of various trending wireless technologies. In this work, we explore the relationships between the power outputs of a USRP B200 device and its operating frequencies and USRP Hardware Driver (UHD) gains. These relationships are not precisely specified on the device datasheet, thereby hindering prompt design and experimentation decisions among Software Defined and Cognitive Radio (SDCR) researchers. A general purpose handheld spectrum analyser was engaged for recording the power outputs from the USRP B200 device within an experimental testbed that was setup for this study. The B200 device was driven by a GNU radio flowgraph designed for both wired and wireless modes and running on a general purpose host computer in the testbed. The results indicate that the output power decreases while the centre frequency increases, whereas the output power increases as the UHD gain increases from 65 dB until the device reaches the saturation point at 89.9 dB. These results provide a handy toolkit for SDCR researchers and practitioners.

CASPASE-DEPENDENT ACTIVATION OF CASCADE CYTOKINES IN YOUNG PATIENTS WITH AUTOIMMUNE THYROIDITIS IN COMBINATION WITH GASTROESOPHAGEAL REFLUX DISEASE

The aim of the study: to assess the role of caspase-1 and IL-18 in the implementation of the inflammatory response in young patients with autoimmune thyroiditis (AIT) associated with gastroesophageal reflux disease (GERD).&#x0D; Materials and methods. The study was conducted in two groups of patients homogeneous by gender and age. The first group included 42 patients with an isolated AIT and the second group – 120 patients with a comorbid course of AIT and GERD. The contingent of the surveyed was students. Median age was from 18 to 25 years: 23.1±1.2 years in group with isolated AIT and 21.9±2.7 years in group with combined pathology. The activity of caspase-1 was determined using “Elabscience” kits, USA (China) by immunoassay method. The content of IL-18 was investigated using commercial kits “Bender MedSystems GmbH” (Austria) according to the proposed methods by immunoassay method. Statistical data processing was carried out using the local universal software package Statistica Basic Academic 13 for Windows En Local. Methods of non-parametric statistics were used: Kruskal-Wallis test, median test, Mann-Whitney test.&#x0D; Results. It has been found that caspase-1 is activated in patients both in the isolated course of AIT and in its combination with GERD. At the same time, a significant increasing in the synthesis of IL-18 was established, which has pro-inflammatory and autoimmune effects. Re-examination after 2 months of caspase-1 and IL-18 in examined persons determined decreasing their levels, but control results were not achieved.&#x0D; Conclusion. In young patients, the combination of GERD and AIT, as well as an isolated AIT is accompanied by an increasing the levels of caspase-1 and IL-18 in blood serum related to inflammatory process in the thyroid gland and esophageal mucosa with autoimmune component. These biomarkers may reflect the severity of clinical course of diseases and serve as prognostic indicator of outcome in case of comorbidity.

THE INFORMATION MEANS TO PROMOTION GREEN TOURISM

It has been determined that rural green tourism in Ukraine has a significant share in the tourism market. However, it is not the state institutions that promote it, but the efforts of NGOs and green tourism market actors. At the same time, the development of green tourism can solve a complex problem in depressed rural areas. Green tourism in Ukraine could be used as a tool for promoting modern advertising, marketing, researching tourists' needs, and stimulating them to improve the quality of services. The purpose of the work was to develop a new approach to creating information tools for the organization, marketing, advertisings of green tourism, improving the quality of services of this type of activity of rural population and developing a software product that implements this approach. In order to achieve this goal and solve the problems of the article, it is proposed to use a counter rating system and modern cloud technologies, on the basis of which a pilot sample of the software product was developed. The assessment of the subjects of green tourism and the package of typical tourist needs will be formed in the analysis of consumer requests. The review of the scientific literature was also conducted, analyzing both the identified consumer requirements for green tourism providers and the possible range of undetermined requirements, the main groups of criteria for evaluating the activities of the subjects of green tourism market, and other indicators by which the databases were formed. The scientific novelty of the obtained results lies in the formation of an original approach to the creation of a universal software complex for green tourism, the introduction of digital technologies in the field of marketing, the advertising of which has hitherto been carried out by amateur methods. The developed pilot sample of the software complex proves that it is the most adapted for use, updating of databases, and also provides the opportunity to reduce the cost of both computer hardware, software and its maintenance. It is created as a universal tool, including, for marketing and advertising, stimulating to improve the quality of green tourism services.

ЧИСЛЕННОЕ МОДЕЛИРОВАНИЕ УПРУГОГО ПОВЕДЕНИЯ СИНТАКТОВЫХ КОМПОЗИТОВ НА ОСНОВЕ ПОЛЫХ СТЕКЛЯННЫХ МИКРОСФЕР ПРИ РАСТЯЖЕНИИ

Using the universal software package “Solid Works”, on the example of a cubic model of a composite based on hollow glass microspheres (HGM), numerical simulation of the elastic behavior of a syntactic material under uniaxial tension is carried out. The chosen computational model is a hollow thin-walled glass sphere placed in a polymer (epoxy) matrix of cubic shape. The model was calculated using the finite-element method in an elastic approach with boundary conditions defined by the used universal software system of 3D modeling of the “Solid Works” complex. The calculations made it possible to determine the longitudinal and transverse elastic strains for the model of a syntactic composite with different contents of the initial components and then to calculate the value of the elastic modulus and the Poisson's ratio under tension for these materials. Experimental verification of the calculations performed was carried out on samples of syntactic composites based on epoxy binder and HGM of type MC-ВП A9 2 gr. A size group of microspheres with a diameter of 50 to 70 microns was isolated from the initial HGM by sieving method. The average diameter of these microspheres was about 59 microns. On the basis of the microspheres selected in this way, samples of epoxy composites with different volume contents of components (30%, 40% and 50% HGM) were made and their actual elastic characteristics under tension were measured. The results of experiments to determine the elastic characteristics of syntactic composites correlate well with the calculations, especially for composites with a filling coefficient of 0.45–0.5 with hollow microspheres.

Adaptive Algorithms in a Universal Integrated Navigation System Based on Low-Cost Instruments

Means of improving the algorithms in multipurpose integrated navigation systems for small aircraft and ground vehicles are considered. In particular, attention focuses on the creation of universal adaptive software improving the performance of inexpensive navigation systems based on an adjustable set of measuring instruments. The best configuration of the hardware and software in the prototype integrated navigation system is analyzed, and approaches to ensuring more flexible and adaptive systems are discussed.

Measurements and Characterization of a Newly Developed Novel Miniature WIPT System

This article reports, for the first time, the design and experimental evaluation of a compact wireless information and power transfer (WIPT) system operating at radio frequency (RF). The design of WIPT system is facilitated by the development of a novel tri-band defected ground structure (DGS) based bandstop filter (BSF) operating at three different frequencies of 300, 433, and 700 MHz. Then, two similar BSFs are arranged in a back-to-back configuration to achieve near-field resonant inductive coupling for transfer of information and power. The measurement carried out on a prototyped system shows an excellent agreement between the measured and simulation results and provides power transfer efficiencies of 70.1%, 66%, and 65% at 300, 433, and 700 MHz, respectively, at a separation distance of 23 mm. These figures are a significant advancement over the existing state of the art. Furthermore, up-link and down-link of data transfer at 433 and 700 MHz are demonstrated using universal software radio peripheral (USRP), and power transfer is shown by illuminating a light emitting diode (LED) at 300 MHz.

Reconfigurable and Intelligent Ultrawideband Angular Sensing: Prototype Design and Validation

The emergence of beyond-licensed spectrum sharing in FR1 (0.45–6 GHz) and FR2 (24–52 GHz) along with the multi-antenna narrow-beam-based directional transmissions demand a wideband spectrum sensing in temporal and spatial domains. We referred to it as ultrawideband angular spectrum sensing (UWAS), and it consists of digitization followed by the characterization of the wideband spectrum. In this article, we design and develop a state-of-the-art UWAS prototype using universal software radio peripheral (USRPs) and LabVIEW NXG for validation in the real-radio environment. Since 5G is expected to co-exist with LTE, the transmitter generates the multidirectional multiuser wideband traffic via LTE specific single-carrier frequency division multiple access (SC-FDMA) approach. At the receiver, the first step of wideband spectrum digitization is accomplished using a novel approach of integrating sparse antenna-array with reconfigurable sub-Nyquist sampling (SNS). The reconfigurable SNS allows the digitization of noncontiguous spectrum via low-rate analog-to-digital converters, but it needs intelligence to choose the frequency bands for digitization. We explore a multiplay multi-armed bandit-based learning algorithm to embed intelligence. Compared with previous works, the proposed characterization (frequency band status and direction-of-arrival estimation) approach does not need prior knowledge of received signal distribution. The detailed experimental results for various spectrum statistics, power gains, and antenna array arrangements validate the functional correctness, superiority, and feasibility of the proposed UWAS over state-of-the-art approaches.

Specific Emitter Identification Based on Software-Defined Radio and Decision Fusion

Specific emitter identification (SEI) uses the unintentional modulation information carried by the emitter waveform, i.e., radio frequency fingerprints, to realize the matching identification of the received signal and its corresponding emitter. We propose an emitter identification scheme based on deep learning (DL). The received signal is subjected to time-varying filtered empirical mode decomposition (tvf-EMD). The obtained intrinsic mode functions (IMFs) are subjected to Hilbert transformation to obtain a 3D-Hilbert spectrum, using amplitude frequency aggregation characteristics obtained by projection to express the nonstationary information of the signal and calculate its bispectral diagonal slice as the second feature. A squeeze-and-excitation block (SEB) is introduced to a convolutional neural network (CNN) to focus on the effective area in the feature map, and support vector machine (SVM) is used to fuse the decision information of the two types of features. We collect four types of steady-state signals on a software-defined radio (SDR) sensor platform based on GNU Radio and universal software radio peripherals (USRP), and study the algorithm performance. The results show that our scheme has strong generalization, high recognition accuracy, and broad application prospects compared with other SEI methods.

Physical principles of work and basic features of Universal Software Radio Peripheral

The current stage in the development of info communication systems is characterized by an active search for a solution to the problem of signal processing in dynamically changing conditions. Growing requirements for bandwidth implemented in practice lead researchers to search for new solutions that can work under restrictions previously considered fundamental, such as a high level of intersymbol distortions [1]. There are many useful signal recognition techniques that use a statistical apparatus, an apparatus for predicting dynamic processes, and means combining the features of different principles. Ensuring the reception of signals transmitted over the meteor channel of a radio communication requires, in addition to modern analog-to-digital conversion devices, the ability to directly synthesize precision signals for heterodyning systems, correlation analysis and statistical processing of a signal-noise complex. Similar problems arise in more traditional applications, such as radar and radio navigation. The most preferred tools of the developer and designer in all cases are devices that implement the technology of software-defined radio (SDR). The article describes the physical principles of Universal Software Radio Peripheral operating using software-defined radio (SDR) technology. It shows the implementation of the technology of software-defined radio system according to the concept of USRP for various tasks, architecture and generalized structure.

A USRP-Based Testbed for Wideband Ranging and Positioning Signal Acquisition

For validation and demonstration of high accuracy ranging and positioning algorithms and systems, a wideband radio signal generation and acquisition testbed, tightly synchronized in time and frequency, is needed. The development of such a testbed requires solutions to several challenges. Tight time and frequency synchronization, derived from a centrally distributed time-frequency reference signal, needs to be maintained in the hardware of the transmitter and receiver nodes, and wideband signal acquisition requires sustainable data throughput between the receiver and host PC as well as data storage at GB level. This article presents a testbed for wideband radio signal acquisition, for validation and demonstration of high accuracy ranging and positioning. It consists of multiple Ettus X310 universal software radio peripherals (USRPs) and supports high accuracy (<; 100 ps) time-deterministic, sustainable signal transmission and acquisition, with a bandwidth up to 320 MHz (in dual channel mode) and frequencies up to 6 GHz. Generation and processing of wideband arbitrary signal waveforms is done offline. To realize these features, radio frequency on chip (RFNoC) compatible HDL units were developed for integration in the X310 SDR platform. Wideband transmission and signal acquisition at a lower duty cycle is applied to reduce the data offloading throughput to the host's personal computer (PC). Benchmarking of the platform was performed to demonstrate sustainable long duration dual channel acquisition. Indoor range measurements with the synchronous operation of the testbed show a decimeter-level accuracy.

Improvement of modeling techniques of transients in transformers based on magnetoelectric equivalent schemes

Purpose. Use of an improved numerical method of calculating transient processes in electrical circuits for modeling electromagnetic processes in nonlinear magneto-electric circuits, and also development of a circuit model based on this method, which leads to the convenience of calculation. Methodology. Approximation of functions by Chebyshevs polynomials, numerical methods of differential equations integrating, matrix methods, spline interpolation, programming, theory of electric and magnetic circuits. Findings. On the base of the well-known method of transient process analysis in linear electric circuits, the method of numerical calculation of transient processes in nonlinear magneto-electric equivalent circuits of transformer has been developed. By the help of the proposed method it is possible to reduce processing time for modeling electromagnetic processes in transformers. The example of using the developed method is shown. The computer program for modeling of electromagnetic transient in a single-phase transformer based on the described method has been developed. This example shows reduction of processor time by more than four times compared to examples of calculations based on other known methods. Originality. The method in which the solution of state differential equations is presented in the form of decomposition into a series along orthogonal Chebyshevs polynomials is used in this work. The polynomial approximation applied in this work is not corresponding to the solution function itself, but its derivative, which significantly reduces the error of integration of differential equations. Differential equations of state are transformed into linear algebraic equations for special images of solution functions. A principle is developed of constructing magneto-electric substitution circuits in which images of solution functions appear. Images of true dynamic currents and magnetic fluxes in the proposed equivalent scheme are interpreted as direct currents and direct magnetic fluxes. The used method has shown advantages in accuracy and time of simulation of electromagnetic transient over other known methods based on application of magneto-electric substitution circuits. Practical value. The developed method opens up the possibility of using the apparatus of the theory of electric and magnetic circuits to work with images of currents and magnetic fluxes. Based on this, a universal software complex is being developed to calculate transients in transformers of various constructions.

A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models.

In the field of electronic countermeasure, the recognition of radar signals is extremely important. This paper uses GNU Radio and Universal Software Radio Peripherals to generate 10 classes of close-to-real multipulse radar signals, namely, Barker, Chaotic, EQFM, Frank, FSK, LFM, LOFM, OFDM, P1, and P2. In order to obtain the time-frequency image (TFI) of the multipulse radar signal, the signal is Choi–Williams distribution (CWD) transformed. Aiming at the features of the multipulse radar signal TFI, we designed a distinguishing feature fusion extraction module (DFFE) and proposed a new HRF-Net deep learning model based on this module. The model has relatively few parameters and calculations. The experiments were carried out at the signal-to-noise ratio (SNR) of −14 ∼ 4 dB. In the case of −6 dB, the recognition result of HRF-Net reached 99.583% and the recognition result of the network still reached 97.500% under −14 dB. Compared with other methods, HRF-Nets have relatively better generalization and robustness.

Software Package for Determining the Capillary Adsorption Potential in Irrigated Lands

In the current work, an analytical formula for determining the capillary adsorption potential (CAP) has been derived as a result of solving the moisture transfer equation. A universal software package program has been written in the Python language. The code enables to compute the values of CAP at any soil depth and at any time of irrigation for various soil parameters. To illustrate the code, the results of some numerical calculations are presented at the end of the work.