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This study aims to examine the intention of social aid beneficiaries to use banking Self-Service Technology (SST). In general, the social aid beneficiaries have limitations in accessing banking technologies. Therefore, research on the determinants of the intention of social aid beneficiaries in using banking SST is considered necessary. The independent variables used in this study are attitude, coercive pressure, normative pressure, mimetic pressure, and perceived costs, while the dependent variable is the intention to use banking SST. Respondents in this study are social aid beneficiaries who have used banking services. The research hypotheses are tested using Partial Least Square-Structural Equation Model (PLS-SEM) analysis with WarpPLS 7. The results of this study indicate that attitude, normative pressure, mimetic pressure, and perceived costs have a significant positive effect on the intention to use banking SST, while coercive pressure has a significant negative effect on the intention to use banking SST.

[opening paragraph]:"Over the past decade, nanoceramics have received significant attention as candidate materials due to their capability to demonstrate improved and unique properties in comparison with conventional bulk ceramic materials. Nanoceramics exhibit unique processing, mechanical, and surface characteristics such as superplasticity, machinability, strength, toughness,and bioactivity due to the fine grainsize, abundant grain boundaries, and controllable crystallinity. "

This research aims to develop the analysis model for diseases in water buffalo towards the application of the feature selection technique along with the Multi-Layer Perceptron neural network. The data used for analysis was collected from books and documents related to diseases in water buffalo and the official website of the Department of Livestock Development. The data consists of the characteristics of six diseases in water buffalo, including Anthrax disease, Hemorrhagic Septicemia, Brucellosis, Foot and Mouth disease, Parasitic disease, and Mastitis. Since the amount of the collected data was limited, the Synthetic Minority Over-sampling Technique was also employed to adjust the imbalance dataset. Afterward, the adjusted dataset was used to select the disease characteristics towards the application of two feature selection techniques, including Correlation-based Feature Selection and Information Gain. Subsequently, the selected features were then used for developing the analysis model for diseases in water buffalo towards the use of Multi-Layer Perceptron neural network. The evaluation results of the model’s effectiveness, given by the 10-fold cross-validation, showed that the analysis model for diseases in water buffalo developed by Correlation-based Feature Selection and Multi-Layer Perceptron neural network provided the highest level of effectiveness with the accuracy of 99.71%, the precision of 99.70%, and the recall of 99.72%. This implies that the analysis model is effectively applicable.

Drones are widely known for their mobility and ease of use and represent a significant technological breakthrough with various applications. In this paper, a novel inexpensive Search and Rescue (SAR)-based approach for application in indoor environments is presented. The usage of Bluetooth Low Energy (BLE) has been evaluated with respect to other technologies and a conceptual view of the complete setup has been presented. Besides the cost of the drone and the locator devices, the other hardware is relatively inexpensive costing only a fraction of a US dollar. The system is believed to cover a wide area in a small-time frame ranging a few minutes, for instance, a 3600m2 surface area could be scanned in less than 5 minutes. The system is tested by attaching a BLE device in the payload to evaluate the presence of target beacons. Potential upgrades in the system are also proposed, including design modifications for outdoor use and the application in locating missing objects. This system can confidently replace search parties dealing with missing children in public places or venues, with minimal human interaction while bearing the potential for complete automation.

The aim of the current study is to provide improvement evaluation practices in the educational process. A multiple choice test was developed, which was based on content analysis and the test specification table covered some of the vocabulary of the applied statistics course. The test in its final form consisted of 18 items that were reviewed by specialists in the field of statistics to determine their validity. The results determine the relationship between individual responses and the student ability. Most thresholds span the negative section of the ability. Item information curves show that the items provide a good amount of information about a student with lower or moderate ability compared to a student with high ability. In terms of precision, most items were more convenient with lower ability students. The test characteristic curve was plotted according to the change in the characteristics of the examinees. The information obtained by female students appeared to be more than the information obtained by male students and the test provided more information about students who were not studying statistics in an earlier stage compared with students who did. This test clearly indicated that, based on the level of the statistics course, there should be a periodic review of the tests in line with the nature and level of the course materials in order to have a logical judgment about the level of the students’ progress at the level of their ability.

Sentiment analysis plays an important role in obtaining speakers' opinions or feelings towards events, products, topics, or services, helping businesses to improve their products. Moreover, governments and organizations investigate and solve current social issues by analyzing perspectives and feelings. This study evaluated the habit of chewing Khat (qat) leaves among the Yemeni society. Chewing Khat plant leaves, is a common habit in Yemen and East Africa. This paper proposes a model to detect information about the Khat chewing habit, how people explore it, and the preference for Khat leaves among Arabic people. A dataset consisting of user comments on 18 youtube videos was prepared through several natural language processing techniques. Several experiments were conducted using six machine learning classifiers and four ensemble methods. Support Vector Machine and Linear Regression had almost 80% accuracy, whereas xgboot was the most accurate ensemble method reaching 77%.

In this paper, a new Maximum Power Point Tracking (MPPT) control for a Photovoltaic (PV) system is developed based on both backstepping and terminal sliding mode approaches. This system is composed of a solar array, a DC/DC boost converter, an MPPT controller, and an output load. The Backstepping Terminal Sliding Mode Controller (BTSMC) is used via a DC-DC boost converter to achieve maximum power output. The stability of the closed-loop system is guaranteed using the Lyapunov method. This novel approach provides good transient response, low tracking error, and very fast reaction against solar radiation and PV cell temperature variations. Furthermore, chattering, which constitutes the main disadvantage of the classic sliding mode technique is eliminated. To show the effectiveness and robustness of the proposed control, different simulations under different atmospheric conditions are conducted in Matlab/Simulink.

The current article discusses the use of the dependency graph method to design and analyze automatic transmissions. Different goals may be served by modeling an automatic transmission using graphs. The most important of them are: determining the gear ratios for gears and the analysis of speed and acceleration of the rotating elements. Game tree-structure methods can be used to analyze the functional schemes of the selected gears. This paper describes the method of generating a system of kinematics equations for signal dependency graphs. This allows the generalization and extension of the algorithmic approach, and also further analyses and syntheses, such as checking the isomorphism of the proposed solutions and determining the validity of the structure and the operational parameters of the analyzed gears.

In the current paper, numerical simulations of the combustion of turbulent CH4-H2 are presented employing the standard k-epsilon and the RNG k-epsilon for turbulence closure. The Fr-ED concept is carried out to account for chemistry/ turbulence interaction. The hydrogen content is varied in the fuel stream from 0% to 100%. The numerical solutions are validated by comparison with corresponding experimental data from the Combustion Laboratory of the University of Milan. The flow is directed radially outward. This method of fuel injection has been already been explored experimentally. The results show that the structure of the flame is described reasonably and both standard k-ɛ and RNG k- ɛ models can predict the flame shape. The general aspect of the temperature profiles is well predicted. The temperature profiles are indicating a different trend between CH4 and CH4/H2 fuel mixtures.

A Vehicular Ad-hoc Network (VANET) is a subclass of wireless ad-hoc networks, widely used in on-road vehicles and roadside equipment, having applications in various areas including passenger safety, smart traffic solutions, and connectivity on vehicles The VANET is the backbone of the Intelligent Transport System (ITS) that establishes connectivity between vehicles through a wireless medium. When it comes to the communication between high-speed vehicles there is the challenge of dynamic mobility. In order to provide a higher Packet Delivery Ratio (PDR) and increase the throughput, a new routing protocol called Dynamic Trilateral Enrolment (DyTE) is introduced which chooses a dynamic trilateral zone to find the destination vehicle by allowing only relevant nodes to participate in the communication process using the location coordinates of source and destination nodes. The proposed routing protocol is compared with Ad-hoc On-demand Distance Vector (AODV), Ad-hoc On-demand Multipath Distance Vector (AOMDV), and Dynamic Source Routing (DSR), and the results show remarkable improvement in reducing the Network Routing Load (NRL) and increasing the PDR and throughput of the network. DyTE has performed more efficiently in terms of PDR (23% approximately), throughput (26% approximately) and drastically minimized the NRL by a factor of almost 3.

The key issue of the voltage-sag propagation on the different types of winding connections for the low voltage transformer in the distribution power network is considered in this study. The issues of voltage sag propagation depend upon the type of asymmetrical fault and the connection of the transformer windings. In this paper, the double line to ground fault is adopted for the voltage sag characterization. The depiction of the sage propagation is an outcome of the zero sequence components. Voltage sag propagation detection can be used to improve the power quality of the system. The obtained results reveal the characteristics of the voltage drop propagation from the primary to the secondary winding of the transformer throughout different connection. The implemented method will help analyze the Power Quality (PQ) problem in terms of voltage sag of the distributed transmission networks of the power system.

This paper presents a new design of an adaptive fuzzy logic control by implementing the leader-follower approach. The principle is to modify the feedback control of non-holonomic Wheeled Mobile Robot (WMR) to be adaptive according to a fuzzy controller in the control loop, in order to adjust the feedback control gains according to the distance error between the reference path and the real position. The trajectory tracking control for a single WMR is extended to the formation control for two WMRs in which the first one is the leader and the second is the follower. Simulation results are presented to demonstrate the effectiveness of the proposed controller.

The aim of this study is to provide an empirical evaluation of the influence of different aspects of design in the context of factor analysis in terms of model stability. The overall model stability of factor solutions was evaluated by the examination of the order for testing three levels of Measurement Invariance (MIV) starting with configural invariance (model 0). Model testing was evaluated by the Chi-square difference test (Δx2) between two groups, and Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Tucker-Lewis Index (TLI). Factorial invariance results revealed that the stability of the models was varying over increasing levels of measurement as a function of Variable-To-Factor (VTF) ratio, Subject-To-Variable (STV) ratio, and their interactions. There were invariant factor loadings and invariant intercepts among the groups indicating that measurement invariance was achieved. For VTF ratios 4:1, 7:1, and 10:1, the models started to show stability over the levels of measurement when the STV ratio was 4:1. Yet, the frequency of stability models over 1000 replications increased (from 77% to 91%) as the STV ratio increased. The models showed more stability at or above 32:1 STV.

Multipath (MP) and/or Non Line-Of-Sight (NLOS) reception remains a potential vulnerability to satellite-based positioning and navigation systems in high multipath environments, such as an urban canyon. In such an environment, satellite signals are reflected, scattered or faded, and sometimes completely blocked by roofs and walls of high-rise buildings, fly-over bridges, complex road structures, etc. making positioning and navigation information inaccurate, unreliable, and largely unavailable. The magnitude of the positioning error depends on the satellite visibility, geometric distribution of satellites in the sky, and received signal quality and characteristics. The quality of the received signal (i.e. its statistical characteristics) can significantly vary in different environments and these variations can reflect in signal strength or power, range measurements (i.e. path delay and phase difference), and frequency, all of which distort the correlation curve between the received signal and receiver-generated replicas, resulting in range errors of tens of meters. Therefore, in order to meet stringent requirements defined for the Standard Positioning Service (SPS), the characterization of distortions that could significantly affect a Global Navigation Satellite System (GNSS) signal is essentially important. The scope of this paper is to detect possible imperfections/deviations in the GNSS signal characteristics that can occur due to MP or NLOS reception and analyze its effects. For this purpose, analysis of fading patterns in received signal strength (i.e. Carrier-to-Noise Ratio and strength fluctuations) is carried out in both clear LOS and high MP environment and then its impact on satellite lock state (i.e. tracking) is assessed. Furthermore, phase fluctuations and range residuals are computed to analyze the effects of path delays. The results show that significant variations can occur in GNSS signal characteristics in the MP environment that may result in loss of lock event and inaccurate/faulty range measurements.

In this paper, a variable-volume Continuously Stirred Tank Reactor (CSTR) deterministic exothermic model has been formulated based on the Reynold Transport Theorem. The numerical analysis of the formulated model and the identifiability of its physical parameters are done by using the least squares and the Delayed-Rejection Adaptive Metropolis (DRAM) method. The least square estimates provide the prior information for the DRAM method. The overall numerical results show that the model gives an insight in describing the dynamics of CSTR processes, and 14 parameters of the CSTR are well identified through DRAM convergence diagnostic tests, such as trace, scatter, autocorrelation, histograms, and marginal density plots. Global sensitivity analysis was further performed, by using the partial rank correlation coefficients obtained from the Latin hypercube sampling method, in order to study and quantify the impact of estimated parameters, uncertainties on the model outputs. The results showed that 7 among the 14 estimated model parameters are very sensitive to the model outcomes and so those parameters need to be handled and treated carefully.

Worldwide, concrete is the most preferred construction material. The steam curing method is favored when there is a need for accelerating strength. This paper presents the study of the compressive and flexural tensile strength of concrete subjected to eight different steam cures. In addition, the stress-strain curve and the modulus of elasticity were determined at the age of 28 days. The compressive strength test results show that after treatment, strength increases with concrete maturity. A cycle with a pre-heating period gives better results than a cycle without a pre-heating period. The longer the duration of the maximum temperature period, the lower the strength drop compared to the control concrete. The best results were obtained for concrete treated according to the following cycle: a 3-hour pre-heating period at 20oC, a 2-hour increase of temperature from 20 to 70oC, and a 3 hour of maximum temperature of 70oC.

This paper proposes a novel control design for a Current-Fed Dual Active Bridge (CFDAB) converter in boost mode. The Double PWM plus Double Phase Shifted (DPDPS) modulation is applied to the converter due to its considerable merits. A small-signal model is developed to control the output voltage stably in boost mode. Simulations of the control design for the CFDAB converter were conducted to verify the proposed model. The results show that the system can achieve high performance, not only in the dynamic response but also in the steady-state.

Microgrids (MGs) are the emergent solution to overcome the current electricity demand. The MGs provide the facility to operate in both isolated and grid-connected modes. For both operating modes, Distributed Generation (DG) inverters are operating under grid forming or grid following control modes. During mode switching, the MG experiences enormous fluctuations, which occur due to the unidirectional islanding event. This paper presents a control strategy by using the modified power control scheme, current controller, and DC linked voltage controller scheme to ensure the operational mode transfer smoothly from the grid-connected to the islanded mode and vice versa. The proposed control scheme is applied to a three-phase distributed energy resource-based MG system with fixed loads. The simulation results validate the effectiveness of the control technique while tested at the point of common coupling and also at the time of mode transfer.

The Molten Salt Reactor (MSR) is the most important system suggested by Generation IV for the future direction in the nuclear reactor field. For more development of the MSR reactor, the core system inside the tube is proposed by naturally circulating molten fuel salt. The nonlinear kinetic equations form a linearized function and are obtained in state-space form. Reactivity feedback and delayed neutrons are extremely important for reactor control. In this paper, a thermal-hydraulic system for the commercial computation dynamic model is proposed. Currently, there is no commercial software to simulate the natural circulation flow. The proposed method can be easily employed to detect faults and can provide a feasible overall system performance.

An attempt is made to establish the dependence of the timbre of the Sarasvati veena, a South Indian string instrument, on its extended bridge. The equation of motion for a plucked string vibrating against the extended boundary at the bridge is solved numerically. The solution is analyzed for timbre characteristics, which show energy redistribution among the higher harmonics, as well as revival of higher harmonics with time. The variation of timbre with bridge slope and curvature are analyzed. These results are validated by comparison with corresponding analysis of acoustic data gathered from experiments performed on a sonometer, whose knife edge is replaced by the bridge of the veena.

Introduction. Walking machines have been interesting for decades. Modern technologies make it possible to create new designs with digital control. Creating software that allows a walking machine to move independently is a difficult task. Walking machine onboard computer needs to process data from sensors in real time. The article demonstrates design and algorithms used to control the motion of an experimental walking machine. Materials and Methods. To simulate the motion of a walking machine and experimental studies, a stand replicating all the electronic systems of the machine was made. The order of rearrangement of the supports during the motion and the trajectory of the support movement are shown. The design of sensors and their principle of operation are considered. The simulation bench with a description of its electronic components is demonstrated. Results. The optimal parameters of the support motion are determined. A cyclic algorithm for specifying the motion of a support along a trajectory consisting of rectilinear segments is described. The problem of synchronization of motion of a set of supports using multithreaded asynchronous programming adapted for multidimensional processors has been solved. The process of lowering the support to the surface and the response of the cyclic algorithm to changes in the shock and load sensor readings are simulated. Discussion and Conclusion. An algorithm for propulsion with reaction to changes in sensor readings has been developed. The conducted research allowed us to obtain an optimal algorithmic model of motion, to which it is easy to add new reactions of the automatic motion control system based on sensor readings.

Introduction. In this article, the problem of temperature distribution in an oil-bearing formation with a hydraulic fracture and a vertical injection well is numerically modeled. Materials and Methods. To describe the process of temperature distribution in the formation under the action of the fluid injected into the formation, the Fourier-Kirchhoff equation of convective heat transfer is used. To solve this equation, the discontinuous Galerkin method on staggered unstructured grids is used. To describe the process of pressure change in the formation under the action of the injection well, an equation is used that is obtained based on the continuity equation and Darcy’s law. To solve it, the discontinuous Galerkin method on an unstructured triangular grid is used. To parallelize the numerical algorithm, the MPI library is used. Results. The article presents a numerical algorithm and the results of modeling the dynamics of the temperature fields in an oil reservoir with a hydraulic fracture and a vertical injection well. Discussion and Conclusion. A numerical algorithm based on the discontinuous Galerkin method for math modeling of the temperature and pressure fields in a oil-bearing formation with a hydraulic fracture and injection well was developed and implemented. The results obtained for the distribution of temperature and pressure in the fracture are adequate and in good agreement with the specified initial-boundary conditions. Further work in this direction involves modeling on tetrahedral unstructured meshes for a more accurate study of the ongoing processes.

Introduction. One of the areas of agricultural production is crop production. At the same time, it is necessary to take into account all available possibilities of reducing the energy consumption and labor required for tillage operations that can be achieved by using energy efficient tillage tools. Materials and Methods. In the course of the research, an agrotechnical and energy assessment of the technological process of soil cultivation performed by tillage tools was carried out. The agrotechnical assessment includes identifying the indicators of unevenness of the tillage tool travel depth, soil pulverization, ridging, and the content of erosion threatening particles. As an energy assessment, the indicator of draught created by a tillage tool was taken. The researches were carried out for various configurations of the chisel cultivators with flat and curved hoes, and elements made of polymer. Results. The data of agricultural assessment and draught of chisel cultivators were obtained for various agricultural backgrounds: winter wheat stubble with preliminary disking in one track, winter barley stubble with preliminary disking in one track, and autumn fallow on the background. Discussion and Conclusion. According to the results of the research, it was found that, in terms of quality indicators, the tillage tools meet the agrotechnical requirements for a given processing depth of 25–35 cm. The operation of the chisel equipped with a curved hoe is characterized by the highest presence of clods up to 5 cm (91–96%). The ridge height was 6.8–8.0 cm for all tillage tools. It has been established that the tillage tools are advisable to be uses for anti-erosion soil cultivation. In terms of preserving plant and crop residues, a chisel with a curved hoe providing their content by 9.5–28.6% more than with a polymer of 13.2–14.3%. The chisel with polymer has the smallest draught of 7.6 kN, which is 18.28% lower in comparison with tillage tools equipped with a flat hoe.

Invigilation of the examination is one of the important roles and tasks of lecturers appointed as invigilators or proctors. Based on the past semi-annually reports of examination post-mortems meeting, less than 10% of the invigilators were unhappy with the examination duties that have been assigned or appointed to them. The examination committee members who are responsible in the process of assigning the invigilation duties to each invigilator had given a lot of effort and spent a few weeks to ensure that everybody is happy with the invigilation duties assigned to them. Nevertheless, despite the excellent planning of invigilation duties assignment, it cannot make everybody satisfied. Thus, a web-based application system named Examination Invigilation Management Systems (ExIMS) has been developed using the System Development Life Cycle (SDLC) waterfall model methodology to meet the need of invigilation duties exchanged among invigilators or applicants. This system has been developed to control and cross check the request of invigilation duties exchanged using the algorithm named multi selection control. The algorithm could avoid any conflicts or anomalies that could happen after the exchange of duty has been made. The process of duty exchange is examined and verified automatically by the system. The system provides a platform for users or invigilators to give their views or opinions on the invigilation duties and system features or performance through the online survey. The survey uses the TAM method concentrating on the perceived-ease-of-use (PEOU) component. Based on the survey, 95% respondents reported that they were satisfied with the platform for duty exchange among invigilators. The users can easily and flexibly select the new duties, which will be automatically and mutually swapped among invigilators. ExIMS has solved the problem of unsatisfaction of invigilation duties and increased the happiness index among invigilators during the examination period.

One of the major issues in system integration is to deal with interoperability of legacy systems which use traditional System Integration Patterns (SIP). Information are unable to exchange effectively when the systems involved comes from developer that tended to not interoperate and this leads to the interoperability problem in heterogeneous system integration. To address the interoperability issues, interfacing processes need to be made more easily by defining components, processes, and interfaces that affect the system integration architecture at the initial design stage. This paper includes a basic concept on types of traditional SIP covering File-Based, Common Database, Remote Procedure Call (RPC), Distributed Objects, and Messaging. An overview of three Service Interface Design (SID) approaches for systems interoperability is discussed. The discussions on these approaches serve as a basis for the solution of interoperability of heterogeneous systems which use traditional SIP.

Natural rubber is one of the most important crops in Malaysia alongside palm oil, cocoa, paddy, and pineapple. Being a tropical country, Malaysia is one of the top five exporters and producers of rubber in the world. The purpose of this study is to find the forecasted value of the actual data of the number of exportations of natural rubber by using Fuzzy Time Series and Artificial Neural Network. This study is also conducted to determine the best model by making comparison between Fuzzy Time Series and Artificial Neural Network. Fuzzy Time Series has allowed to overcome a downside where the classical time series method cannot deal with forecasting problem in which values of time series are linguistic terms represented by fuzzy sets. Artificial Neural Network was introduced as one of the systematic tools of modelling which has been forecasting for about 20 years ago. The error measure that was used in this study to make comparisons were Mean Square Error, Root Mean Square Error and Mean Absolute Percentage Error. The results of this study showed that the fuzzy time series method has the smallest error value compared to artificial neural network which means it was more accurate compared to artificial neural network in forecasting exportation of natural rubber in Malaysia.

Rapidly quenched quasibinary TiNi–TiCu system alloys with high copper contents (above 20 at.%) exhibit excellent shape memory effect and have considerably narrower hysteresis as compared with the TiNi binary alloy, this advantage being of special importance for cyclic load applications, e.g. for microelectromechanics (MEMS). The aim of this work is to study the effect of annealing parameters and copper content on the shape memory effect in TiNiCu alloys. Thin amorphous ribbons of TiNi-TiCu alloys with copper contents of 25 to 40 at.% were produced by planar flow casting at a melt cooling rate of about 106 K/s. The alloys were crystallized by isothermal annealing with variable duration and by exposing specimens to a short (10 ms) electric pulse. Increasing the copper content to above 30 at.% considerably reduces the plasticity and shape memory effect of the alloys. However, significant reduction of annealing duration greatly improves the shape memory performance due to prevention of the formation of brittle Ti-Cu phases in the alloys structure.

Through additive manufacturing is possible to obtain products with few material waste, low production time and great flexibility in geometry. In recent years, the application of arc welding processes has been studied as additive manufacturing techniques for metals. When compared to laser welding processes, they have low equipment cost, high deposition rate, however a low surface quality. This work proposes to study the machinability of additive manufacturing parts using automated GMAW. The deposition was carried out using a robotic arm, using ER70S-6' wire with a substrate of nodular cast iron. Two deposition strategies were carried out, one alternating the passes directions and the other one depositing in the same direction. The machining process used was milling in a three axis machining center. The deposition strategy had an influence on the parts surface finish after machining, as well as on the tool life.

Fatigue phenomena are critical aspects of the life cycle of many components or structures. The variety of cyclic load situations led to the emergence, throughout the years, of different types of studies as high-cycle, low-cycle, and fatigue crack growth, among others. Particularly for machine elements, high-cycle fatigue situations are the more frequent, and simplified approaches taking into account the Soderberg criterion have been commonly used. Meanwhile, the German Institute for Standardization put forward a procedure for fatigue design of shafts, DIN 743, based on the use of Smith diagrams and considering separately the safety factor (SF) for static and for cyclic loads. The present paper compares Soderberg and DIN 743 approaches, focusing on SF obtained when load capacity is calculated considering equal correction factors in both methods. A set of representative situations was defined, and the comparison was carried out parametrically using Matlab software. The SF values of the Soderberg method were always found to be lower than those of DIN 743, indicating that the Soderberg method is more conservative than DIN 743.

In the last fifteen years, a new approach has emerged in the design field: the process of development of new materials and the involvement of designers as original creators, making use of underutilized local materials. This paper aims to describe the preparation of an Amazonian palm tree fiber (Manicaria saccifera Gaertn.) for the use at composites materials. The raw materials were extracted from the Marajó archipelago - Brazil by local communities that traditionally work with the material. The process involves the measure of weight, length, and thickness at six different points of the raw specimen; manual washing and cleaning; drying with stopping criterion; and visual analyses of the specimen with trimming and cutting, for the potential use at composites. The results for 80 specimens show that the method adopted allowed easy and quick preparation of the specimens and can be used for other local materials, respecting its characteristics.

Cutting fluid application is a vital technique to achieve the expected result in most machining processes. However, besides having a high cost, the cutting fluid application also represents a risk to the environment due the oil chemical characteristics. The Minimum Quantity Lubrication (MQL) is an alternative when looking for reduction of oil consumption and a more environmentally friendly process. A literature review has shown that many predictive models of machine tool power consumption do not consider the consumption of the required air compressor in MQL. This paper’s motivation was testing these models to predict the energy consumption. It was observed that the amount of consumed energy in the cutting is lower when compared to the consumption of basic components of the machining center in both cases. Using the MQL, the tool life showed a decrease. However, it allows the feed to increase and reduces the energy consumption.

Contemporary grades of structural steels are produced using a very advanced thermo-mechanical treatment processes, so their properties strongly depend on the obtained structure. Corrosion-resistant austenitic steels have a high hot cracking tendency. Therefore, it is advantageous to use welding technologies, such as laser welding, that limit the size of the joint and its heat-affected zones and thus the deformations caused by the welding process. Laser welding is also characterized by small amount of heat transferred into the material during the process which limits the hot cracking tendency. During the tests, 8 samples made of S960QL steel and S304 steel, were prepared using a Trumpf TruDisk 3302 laser welding device. The produced samples were subjected to macro- and microscopy metallographic tests. Static tensile test and bend test were also performed as well as a hardness Vickers test under a load of 100N. Good quality joints were obtained, characterized by a small number of welding imperfections, small size of the weld and heat affected zone, as well as satisfactory mechanical properties.

The introduction of new technology to agriculture has resulted in enormous amounts of data and their handling and utilization challenge. Data is typically gathered from several sources such as field sensors, machines, industrial processes, different laboratories and officials. This has led to several complicated systems that are not always compatible. Farmers are confused, unaware, and face challenges in seeing the benefits for their business in relation to the time required. This paper introduces an automatic digital tracking and monitoring system for round feed bales on farms. In this system, bale data from sensors, switches, and a GPS-device in the baling machine are collected by hardware and sent to the cloud with the bale ID read from a RFID tag attached to each bale. A digital inventory of bales forms instantly, and baling can be followed on the map application with a mobile device. Data in the cloud is utilized for the farmer's user interface. The farmer can manage and do various operations with bales. An important outcome is the yield report, showing basic statistics, quantities, and qualities of bales in a digitalized field parcel. If the farmer wants to sell bales, this can easily be done with the tool. It makes sales by connecting the farmer to an e-commerce portal. A key question and challenge to be resolved involves who owns the data. All the benefits of digitalization can be achieved only with good cooperation and mutual agreement from farmers who want to have control of their data under all circumstances.

Creating an ecologically sustainable circulation of nutrients requires local solutions with commitment from all participating parties. Due to vast differences between various regions, it is very complicated, if not impossible, to create fair, simple, and applicable legislation that can consider all of these differences in a meaningful way. Thus, there is a need for clear and easy ways of developing sustainable and viable solutions locally, as well as communicating them with local community and all the way up to the supervising governmental representatives. To meet this need, we developed a simulation tool that allows the user to explore the effectiveness and impact of a local biorefinery in waste management. As an iterative model based on state machine agents, it can easily be modified for a multitude of scenarios with changes taking place over time, while considering the viewing points of all involved. In this article, we report the first version of this tool and demonstrate its usefulness in estimating suitable biogas reactor size in a biorefinery.

The object of research is the processes of data exchange between subjects of foreign economic activity when performing customs procedures, namely, the introduction of a new computerized transit system NCTS within the framework of improving and harmonizing customs procedures. One of the most problematic areas is the lack of knowledge and awareness in the implementation of reforms on trade facilitation measures, and therefore there is a need to be able to reduce costs at the border, and costs associated with foreign trade transactions. The perspective is considered and the assessment of the state of modern customs policy is carried out on the example of Ukraine, the mechanisms of application of customs instruments for regulating foreign trade during the digitalization of customs are determined. The dynamics of export-import operations of Ukraine with other countries is analyzed. In 2020, exporting companies estimate the work of customs significantly better by 15% compared to 2019. Among enterprises of various sizes, micro-enterprises often report problems at customs, and the greatest problems are considered to be overstatement of customs value of goods and outdated equipment of customs control zones. It is shown that one of the ways to improve the efficiency of customs procedures is to minimize personal contacts between the customs officer and the client, transfer most of the transactions online, use electronic services and mobile applications. Also, in the near future, a large-scale reconstruction of checkpoints is planned to reduce queues. It is found that the customs clearance procedures are not sufficiently automated, and the customs authorities are entrusted with many obligations. Thus, the customs authorities of Ukraine are forced to control goods during customs clearance more carefully than in the EU countries. The average duration of customs clearance of imported goods by the customs authorities of Ukraine is from 1 to 4 hours, depending on the region, while in developed countries such clearance takes only a few minutes. The conducted research is interesting for the participants of the international transport market. Since for business enterprises the use of one transit declaration for the delivery of goods from one country to another (from the customs office of departure to the customs office of destination), according to the general transit procedure, reduces the cost of customs procedures and the time required for their passage. Consequently, it reduces queues at the border, which means a faster flow of goods.

The object of research is the processes of cost, duration and quality management in long-term contracts for the maintenance of roads. The presented work is based on the use of project management theory. The main hypothesis of the study is the application of methods for optimizing the parameters of long-term contracts for the maintenance of roads. Features, advantages and problematic issues concerning the use of long-term contracts based on quality indicators in the road sector are considered. The world and domestic experience of introduction of long-term maintenance of highways is analyzed. The main approaches to optimization of parameters are defined and the mathematical model of management of processes of cost, duration and quality in long-term contracts is developed. Based on the model, two methods of mathematical solution of the optimization problem of the proposed parameters have been developed. A mathematical experiment based on the example of the project of long-term maintenance of roads on the final quality indicators, the results of which showed that the adaptive capacity of projects by the second method is less flexible than the first. But the second method achieved better performance to minimize time parameters with averaging at 5%. Optimization of parameters of long-term contracts for maintenance of roads has a multiplier effect, which is expressed in reducing administrative costs of the customer, reducing the responsibility of road services, creating conditions for stable financing of road works, satisfaction of road users, building strong partnerships between the customer and the contract. The results of calculations have practical value and can serve as a tool for making sound management decisions to determine the basic parameters of long-term contracts for the maintenance of roads based on quality.

The object of research is the process of controlling the trajectory of unmanned aerial vehicles (UAVs) in autonomous flight mode based on neural network algorithms. The study is based on the application of numerical-analytical approach to the selection of modern technical solutions for the construction of standard models of platformless inertial navigation systems (BINS) for micro and small UAVs, followed by support for assumptions. The results of simulation in the Matlab environment allowed to simulate the operation of the UAV control system based on MEMS technology (using microelectromechanical systems) and Arduino microcomputers. It was also possible to experimentally determine the nature of the influence of the structure of the selected neural network on the process of formation of navigation data during the disappearance of the GPS signal. Thus, to evaluate the effectiveness of the proposed solutions for the construction of BINS, a comparative analysis of the application of two algorithms ELM (Extreme Learning Machine)-Kalman and WANN (Wavelet Artificial Neural Network)-RNN (Recurrent Neural Network)-Madgwick in the form of two experiments. The purpose of the experiments was to determine: the study of the influence of the number of neurons of the latent level of the neural network on the accuracy of approximation of navigation data; determining the speed of the process of adaptive learning of neural network algorithms BINS UAV. The results of the experiments showed that the application of the algorithm based on ELM-Kalman provides better accuracy of learning the BINS neural network compared to the WANN-RNN-Madgwick algorithm. However, it should be noted that the accuracy of learning improved with the number of neurons in the structure of the latent level

In present paper we show results of ball-on-disk wear experiment of MoS2 film deposited on Ti6Al4V substrate. The ball materials is aluminum oxide. The tests are performed for different surrounding temperature conditions: 20 oC, 200 oC and 350 oC. It is shown that depth of the wear groove increases with increasing surrounding temperature. A finite element modeling approach is next developed to mimic the experimental observations of ball-on-disk wear process. It is based on the assumption of steady state condition developed during short time scale at contact region. The steady state results can next be applied to long time scale in which wear process is numerically simulated. Model results are compared with experimentally obtained wear groove and show satisfactory agreement.

It is known that one of the main causes of spoilage of fats (in particular vegetable fats), as well as products made with their use, is an increase in acid and peroxide numbers. Physicochemical indicators have a significant impact not only on the quality and organoleptic characteristics of the product, but also on its safety. For this purpose, the dependence of the indicators of acid and peroxide numbers of the created blend of vegetable oils in the technologies of milk-containing products during storage has been investigated. The object of research is experimental samples of a three-component blend of vegetable oils and milk fat isolated from milk-containing curd paste and milk-containing sour cream sauce. The subject of research is the dynamics of the growth of acid and peroxide numbers of samples and changes in their organoleptic quality indicators. The obtained data on the kinetics of oxidation of a blend of vegetable oils indicate that the increase in acid and peroxide numbers during the studied shelf life does not differ in intensity. The average threshold for an increase in acid and peroxide numbers is insignificant and amounts to 0.02–0.03mgKOH/h and 0.2–0.21mmol1/2O/kg for 5days. In accordance with the obtained results of the kinetics of oxidation of the released fat of milk-containing curd paste, there is a slight increase in acid and peroxide numbers, namely: at the end of 7days – up to 0.3mgKOH/h and 1.9mmol1/2O/kg, respectively, and in at the end of 10days– up to 0.32mgKOH/h and 2.3mmol1/2O/kg. Based on the obtained results of the kinetics of oxidation of the released fat from the milk-containing sour cream sauce, there is a tendency to a gradual increase in the acid and peroxide numbers with an increase in the oxidation time. It is noted that the maximum values of acidic – 0.3mgKOH/h and peroxide numbers – 2.2mmol1/2O/kg at the end of the shelf life of 21days are reached. According to the results obtained for the organoleptic evaluation of experimental samples of the blend and the released fat from milk-containing products, no significant changes were found during the studied shelf life.

Multifruit juicers are designed, constructed and improved to be able to process pineapples, oranges and watermelons efficiently. Little juice manufacturers need both a small and efficient device for juice extraction for being economically concurrent compared to big corporations. The authors of the represented paper aim to present the experimental device for juice extraction, its effectiveness, and functional. This device was created using the compressive and compressive shear forces conveyed by an auger conveyor system as a working power. The juicer consists of a hopper, a screw conveyor shaft, a filter screen, a juice outlet, gearbox housing, and a motor. The analysis of the component design enabled the authors to use the data in order to identify the sizes, manufacture and assemble the machine. The authors have made a lot of tests to detect the efficiency and functionality of the presented device. Tests of the device productivity were carried out using watermelons loaded into the device both peeled and unpeeled. Percentage of juice yield, juice extraction efficiency and extraction losses were used as performance indicators. Productivity analysis results revealed that a fruit type and peel condition reliably influenced productivity indicators at the value of 1%. The percentage of juice yield from peeled and unpeeled watermelons constituted 89.5% and 89.7%, respectively. Extraction efficiency constituted 96.6% for peeled watermelons and 97.1% for unpeeled ones. Extraction losses amounted to 2.9% and 2.6% correspondingly. The proposed device is easy to use and maintain, therefore, it will perfectly suit the needs of small fruit juice manufacturers and can help to get economic efficiency to the small manufacture, Разработаны, сконструированы и усовершенствованы мультифруктовые соковыжималки для эффективной обработки ананасов, апельсинов и арбузов. Чтобы быть экономически конкурентными по сравнению с крупными корпорациями небольшие производители соков нуждаются в компактном и эффективном соковыжимающем устройстве. Авторы представленной работы ставят своей целью представить экспериментальное соковыжимающее устройство, его эффективность и функциональность. Это устройство было создано с использованием в качестве полезной мощности сжимающих и сдвиговых сил, передаваемых системой шнекового транспортера. Соковыжималка состоит из накопителя, вала шнекового транспортера, сетчатого фильтра, выпускного отверстия для сока, корпуса редуктора и двигателя. Анализ конструкции компонентов позволил авторам использовать полученные данные для определения размеров, изготовления и сборки аппарата. Авторами проведено множество испытаний для определения эффективности и функциональности представленного устройства. Испытания производительности устройства проводились с использованием очищенных и неочищенных арбузов, загружаемых в устройство. В качестве показателей эффективности использовали процент выхода сока, эффективность выжимания сока и потери при выжимании. Результаты анализа производительности показали, что тип фруктов и состояние кожуры существенно влияют на показатели производительности на уровне 1 %. Процент выхода сока из очищенных и неочищенных арбузов составил 89,5% и 89,7% соответственно. Эффективность выжимания составила 96,6 % для очищенных арбузов и 97,1 % для неочищенных. Потери при выжимании составили 2,9 % и 2,6 % соответственно. Предлагаемое устройство простым в использовании и обслуживании, поэтому оно прекрасно подойдет для нужд небольших производителей фруктовых соков и может поспособствовать повышению экономической эффективности малого производства, Розроблені, сконструйовані і вдосконалені мультифруктові соковижималки для ефективної обробки ананасів, апельсинів і кавунів. Щоб бути економічно конкурентними в порівнянні з великими корпораціями невеликі виробники соків потребують компактного і ефективного соковижимального пристрою. Автори представленої роботи ставлять собі за мету представити експериментальний соковижимальний пристрій, його ефективність і функціональність. Цей пристрій був створений з використанням в якості корисної потужності стискаючих і зсувних сил, що передаються системою шнекового транспортера. Соковижималка складається з накопичувача, вала шнекового транспортера, сітчастого фільтра, випускного отвору для соку, корпусу редуктора і двигуна. Аналіз конструкції компонентів дозволив авторам використати отримані дані для визначення розмірів, виготовлення і збірки апарату. Авторами проведено багато випробувань для визначення ефективності і функціональності представленого пристрою. Випробування продуктивності пристрою проводилися з використанням очищених і неочищених кавунів, що завантажувалися в пристрій. В якості показників ефективності використовували відсоток виходу соку, ефективність вижимання соку і втрати при вижиманні. Результати аналізу продуктивності показали, що тип фруктів і стан шкірки істотно впливають на показники продуктивності на рівні 1%. Відсоток виходу соку з очищених і неочищених кавунів склав 89,5% і 89,7% відповідно. Ефективність вижимання склала 96,6% для очищених кавунів і 97,1% для неочищених. Втрати при вижиманні склали 2,9% і 2,6% відповідно. Запропонований пристрій простий у використанні і обслуговуванні, тому він прекрасно підійде для потреб невеликих виробників фруктових соків і може посприяти підвищенню економічної ефективності малого виробництва

The design of a thermal-radiation single-drum roll dryer with a combined method of heat supply, application and cutting of the dried layer of raw materials was developed. The dryer allows obtaining a powder fraction of a semi-finished product with a solids content of 3...5%. Such a design solution will make it possible to obtain a high-quality semi-finished product due to low-temperature drying. The effective viscosity of the studied pastes produced by blending apple, sea buckthorn, black chokeberry, beet and pumpkin purees was determined. Adding different percentages of raw materials to apple paste increases the effective viscosity by 9...18%. According to the results of the organoleptic evaluation, the sample with the following composition turned out to be the best: apple – 30%, sea buckthorn – 20%, black chokeberry – 15%, beet – 15% and pumpkin – 20%. The drying time of the blended paste with a solids content of 45% at a temperature of 65°C and different layer thicknesses of application to the working surface (8, 6 and 4mm) is 75, 60 and 56min, respectively. All the samples of pastes have a reddish-purple color with a wavelength of 610.5...614.5nm and a tone purity of 66.5...78.8%. The wavelength of the dried fraction is 495...615.3nm with a tone purity of 34.3...34.8%, from bluish-red to bluish-purple. The brightness of the samples after drying decreases within 3...4%. The obtained color change values and drying time of the samples confirm the possibility of using the improved dryer to obtain high-quality vegetable semi-finished products of the dried fraction. The experimental data will be useful in design calculations and testing of the developed dryer in order to obtain its maximum efficiency

This paper addresses the issue of developing a computerized system for processing information in the construction of the trajectory of an unmanned aircraft vehicle (UAV), a remotely-piloted aviation system (RPAS), or another robotic system. Resolving this task involves the neural network learning algorithms based on the mathematical model of movement. The construction of such a trajectory between two specified destinations has been considered that provides for the possibility of bypassing static and dynamic obstacles. The specified trajectory is divided into several smaller parts. The possibility of restructuring when changing the position of obstacles in space has been considered. A UAV flight control algorithm has been developed, which implies training a neural network for bypassing obstacles of different sizes. To predict the development of the situation when an object moves between two specified points in space, it is proposed to use the Q-Learning algorithm. It has been shown that the smallest number of steps required for moving along a specified trajectory is 18, the largest is 273 steps. In case of distortion during data transmission, the training of the neural network makes it possible to reduce the possibility of collision with obstacles by improving the accuracy and speed of information transfer between the on-board computer and operator. A system of the video support to moving objects was modeled; dependence charts of the normalized frame size at different parameter values were built. Using the charts makes it possible to determine the function of the maneuver intensity. Existing neural network learning methods such as CNN and LSTM were compared. It has been proven that the success rate reaches 74 % when using CNN only, while it amounts to 92 % at the hybrid application of CNN+LSTM. The simulation results have demonstrated the high efficiency of the developed algorithm

This paper reports a method of protection against zero-day attacks using SandBox technology based on the developed analytical model with a probabilistic ranking of information system states. The model takes into consideration the conditions of a priori uncertainty regarding the parameters of the destructive flow on the system, accounting for the typical procedures of the network SandBox. The proposed model of information system states makes it possible to analyze and track all possible states, as well as assess the level of security in these states, and the probability of transitions into them. Thus, it is possible to identify the most dangerous ones and track the activities that caused the corresponding changes. The fundamental difference between this model and standard approaches is the weight coefficients that characterize not the intensity of random events but the intensity of transitions between states. Direct implementation and application of the proposed analytical model involved the technology of multilevel network "SandBoxes". The difference from other popular anti-virus tools is the use of a priori mathematical threat assessment, which makes it possible to detect influences that are not considered threats by classical systems until the moment of harm to the system. The combination with standard security tools makes it possible to separately analyze files that are too large in size, whether they enter the system not through a common gateway controlled by the network "SandBox" but from the external media of end-users. The implementation of the developed analytical model has made it possible to improve the level of protection of the corporate network by 15%, based on the number of detected threats. This difference is explained by the inability of classical software to detect new threats if they are not already listed in the database of the program, and their activity is not trivial

Steganography is the science of hiding secret data inside another data type as image and text. This data is known as carrier data; it lets people interconnect secretly. This suggested paper aims to design a Steganography Biometric Imaging System (SBIS). The system is constructed in a hybridization manner between image processing, steganography, and artificial intelligence techniques. During image processing techniques the system receives RGB foot-tip images and preprocesses the images to get foot-template images. Then a chain code is illustrated for personal information within the foot-template image by Least Significant Bit (LSB). Accurate recognition operation is performed by artificial bee colony optimization (ABC). The automated system was tested on a live-took about ninety RGB foot-tip images known as the cover image and clustered to nine clusters that authorized visual database. The Least Significant Bit method transforms the foot template to a stego image and is stored on a stego visual database for further use. Features database was constructed for each stego footprint template. This step converts the image to quantities data and stored in an Excel feature database file. The quantities data was used at the recognition stage to produce either a notification of rejection or acceptance. At the acceptance choice, the corresponding stego foot-tip template occurrence was retrieved, it is corresponding individual data were extracted and cluster position on the stego template visual database. Indeed, the foot-tip template is displayed. The suggested work consequence is affected by the optimum feature selection via the artificial bee colony optimization usage and clustering, which declined the complication and subsequently raised the recognition rate to 93.65%. This rate competes out the technique over others’ techniques in the field of biometric recognition

The article presents the results of study on interaction between the liquid NiBSi alloy and solid, thin, micrometer-range layers of transition metal carbides of IVB - VIB groups of the periodic table. The reactive magnetron sputtering method was adopted to deposit of these layers on molybdenum substrates. Carbide layers are destroyed in contact with liquid alloy by dissolving, intensified by the penetration of the liquid along the coating - substrate interface. The strong interaction between liquid NiBSi and both the carbide ceramics and the refractory metal substrate was revealed. The effect intensity differs somewhat for both tested carbide groups: IVB (relatively fast) and VIB (less intense).

Assessment of intellectual property is an important process of commercialization of scientific and technical developments of enterprises of all forms of ownership. This is carried out to determine the value of intellectual property objects (IPO) in connection with the transfer of ownership (purchase, sale) to the corresponding object, the conclusion of a license agreement for the IPO use, accounting for IPO in accounting, contributed to the authorized capital, etc. Under such conditions, the problem of IPO underestimating significantly reduces the efficiency and effectiveness of enterprises. At the same time, the uniqueness of many types of intellectual assets and the impossibility of their visual assessment determine the expediency of systematizing methodological approaches to assessing the value of intellectual property assets to ensure an objective assessment of the value of intellectual property. This will help increase the profitability and business value of the enterprise. The aim of research is to develop theoretical and methodological provisions and substantiate practical recommendations for improving information and methodological support for assessing the value of intangible assets, taking into account the requirements of regulatory documents and the availability of the necessary information. Based on the results of the study, methodological approaches to determining the value of intangible assets are systematized. According to the financial statements, the value of intangible assets of the leading enterprises of Ukraine and their share in the total value of assets were analyzed. The features of the assessment of intangible assets in accordance with accounting standards have been determined, a methodological approach to the assessment of the value of intellectual property has been developed, it allows to reasonably choose a method for assessing IPO based on the analysis of available information. It is proved that the lack of objective information on the value of IPO significantly reduces the value of assets of Ukrainian enterprises in comparison with the leading companies in the world, reduces their investment attractiveness and does not contribute to economic development

This paper considers the task of constructing a linear model of the object studied using a robust criterion. The functionality applied, in this case, is correntropy. That makes it possible to obtain estimates that have robust properties. The evaluation algorithm is a multi-step procedure that employs a limited number of information measurements, that is, it has limited memory. The feature of the algorithm is that the matrices and observation vectors involved in estimate construction are formed in the following way: they include information about the newly arrived measurements and exclude information about the oldest ones. Depending on the way these matrices and vectors are built (new information is added first, and then outdated is excluded, or the outdated is first excluded, and then a new one is added), two estimate forms are possible. The second Lyapunov method is used to study the convergence of the algorithm. The conditions of convergence for a multi-step algorithm have been defined. The analysis of the established regime has revealed that the algorithm ensures that unbiased estimates are obtained. It should be noted that all the estimates reported in this work depend on the choice of the width of the nucleus, the information weighting factor, and the algorithm memory, the task of determining which remains open. Therefore, these parameters' estimates should be applied for the practical use of such multi-step algorithms. The estimates obtained in this paper allow the researcher to pre-evaluate the possibilities of identification using a multi-step algorithm, as well as the effectiveness of its application when solving practical tasks

This paper considers the structural-parametric synthesis (SPS) of neural networks (NNs) of deep learning, in particular convolutional neural networks (CNNs), which are used in image processing. It has been shown that modern neural networks may possess a variety of topologies. That is ensured by using unique blocks that determine their essential features, namely, the compression and excitation unit, the attention module convolution unit, the channel attention module, the spatial attention module, the residual unit, the ResNeXt block. This, first of all, is due to the need to increase their efficiency in the processing of images. Due to the large architectural space of parameters, including the type of unique block, the location in the structure of the convolutional neural network, its connections with other blocks, layers, computing costs grow nonlinearly. To minimize computational costs while maintaining the specified accuracy this work set tasks of both the generation of possible topology and structural-parametric synthesis of convolutional neural networks. To resolve them, the use of a genetic algorithm (GA) has been proposed. Parameter configuration was implemented using a genetic algorithm and modern gradient methods (GM). For example, stochastic gradient descent with momentum, accelerated Nesterov gradient, adaptive gradient algorithm, distribution of the root of the mean square of the gradient, assessment of adaptive momentum, adaptive Nesterov momentum. It is assumed to use such networks in the intelligent medical diagnostic system (IMDS), for determining the activity of tuberculosis. To improve the accuracy of solving the classification problem in the processing of images, the ensemble structure of hybrid convolutional neural networks (HCNNs) has been proposed in the current work. The parallel structure of the ensemble with the merged layer was used. Algorithms of optimal choice and integration of features in the construction of the ensemble have been developed

One of the pressing areas that is developing in the field of information security is associated with the use of Honeypots (virtual decoys, online traps), and the selection of criteria for determining the most effective Honeypots and their further classification is an urgent task. The main products that implement virtual decoy technologies are presented. They are often used to study the behavior, approaches and methods that an unauthorized party uses to gain unauthorized access to information system resources. Online hooks can simulate any resource, but more often they look like real production servers and workstations. A number of fairly effective developments are known that are used to solve the problems of detecting attacks on information system resources, which are based on the apparatus of fuzzy sets. They showed the effectiveness of the appropriate mathematical apparatus, the use of which, for example, to formalize the approach to the formation of a set of reference values that will improve the process of determining the most effective Honeypots. For this purpose, many characteristics have been formed (installation and configuration process, usage and support process, data collection, logging level, simulation level, interaction level) that determine the properties of online traps. These characteristics became the basis for developing a method for the formation of standards of linguistic variables for further selection of the most effective Honeypots. The method is based on the formation of a Honeypots set, subsets of characteristics and identifier values of linguistic estimates of the Honeypot characteristics, a base and derived frequency matrix, as well as on the construction of fuzzy terms and reference fuzzy numbers with their visualization. This will allow classifying and selecting the most effective virtual baits in the future.

The object of research is the sound field from linear sound sources around a rounded noise barrier of the same height and different angles of inclination of the top part of the barrier. It is known that the effectiveness of noise protection barriers depends primarily on the geometric dimensions of the barrier and the relative position of the sound source, barrier and area of noise protection. A large number of publications have been devoted to the study of the influence of these factors and some others, such as the influence of the earth's surface, sound absorption, sound insulation of the barrier. However, these works did not study the effect of the angle of the top part of the barrier on the change in the barrier efficiency. In this paper, the reduction of sound levels from linear sound sources around noise barriers with different inclination angle of the top part of the barrier is investigated. Rounded barriers of the same height with different radii are considered, which made it possible to simulate barriers in which the top part of the barrier has a different inclination angle. An effectiveness of such barriers for various locations of the sound source, which could also affect the establishment of a pattern of changes in the effectiveness of barriers, is also considered. In addition, the results were analyzed over a wide frequency range. The calculation of the field around such a barrier was carried out using computer simulation using the finite element method. This method allows to easily change the geometric parameters of the barrier and the position of the sound source. The barriers were considered acoustically hard. Thus, an influence of the inclination angle of the top part of the barrier on the sound field around the barrier from various locations of sound sources in a wide frequency range is analysed. The results must be taken into account when designing noise barriers to reduce noise levels from traffic flows.