bluuebunny/crossref_metadata_2025 huggingface dataset:
“Human beings are first and foremost resonant beings”
Authors: Corrêa Diogo Silva , Peters Gabriel , Tziminadis João Lucas
Published: May 2021

Hartmut Rosa is a Professor of Sociology at the University of Jena, and one of the most original and prolific critical social theorists of our time. The connections between the theoretical and substantive concerns of Rosa’s work, on the one hand, and the analytical purposes of this issue of Civitas dedicated to “existential sociology”, on the other, are manifold. Rosa’s arguments on how acceleration as a social-structural trend of late modernity throws light upon intimate dilemmas of individual self-identity, for instance, could certainly be interpreted as (existential) sociological imagination at its best. The same goes for Rosa’s subtlety and ingenuity in capturing human modes of relating to the world in his theory of resonance, which apprehends the intermingling of bodily, affective, evaluative and cognitive dimensions in a manner that could be deemed “existential” - in a broad and original sense of the word - as broad and original is also the conception of the “critical” element in his “critical theory” of late modernity. For these reasons, we are very pleased to include the following interview in this issue of Civitas.
Solving the Quality of Service Multicast Tree Problem
Authors: Risso-Montaldo Claudio Enrique , Robledo-Amoza Franco Rafael , Nesmachnow-Cánovas Sergio Enrique
Published: May 2021

This article presents a flow-based mixed integer programming formulation for the Quality of Service Multicast Tree problem. This is a relevant problem related to nowadays telecommunication networksto distribute multimedia over cloud-based Internet systems. To the best of our knowledge, no previous mixed integer programming formulation was proposed for Quality of Service Multicast Tree Problem. Experimental evaluation is performed over a set of realistic problem instances from SteinLib, to prove that standard exact solvers can find solutions to real-world size instances. Exact method is applied for benchmarking the proposed formulations, finding optimal solutions and low feasible-to-optimal gaps in reasonable execution times.
Regular Expressions for Web Advertising Detection based on an Automatic Sliding Algorithm
Authors: Enriquez Donovan Riaño , Pinon-Ayala Rodrigo , Molero-Castillo Guillermo , Barcenas Everardo , Velazquez-Mena Alejandro
Published: May 2021

This paper presents the automation of a Web advertising recognition algorithm, using regular expressions. Currently, the use of regular expressions, optical character recognition, Databases, and automation tests have been critical for multiple Software implementations. The tests were carried out in three Web browsers. As a result, the detection of advertisements in Spanish, that distract attention and that above all extract information from users was achieved. The main feature of the algorithm is that automatic and versatile execution does not require access to the code of the page in question and that in the future it can be an application with background operation. In addition, being supported by optical character recognition gives us acceptable efficiency in detecting advertising.
A Novel Intelligent System for Detection of Type 2 Diabetes with Modified Loss Function and Regularization
Authors: G.C. Mallika , Alsadoon Abeer , Pham Duong Thu Hang , Abdullah Salma Hameedi , Mai Ha Thi , Prasad P.W. Chandana , Nguyen Tran Quoc Vinh
Published: May 2021

Type 2 Diabetes (T2DM) makes up about 90% of diabetes cases, as well as tough restriction on continuous monitoring and detecting become one of key aspects in T2DM. This research aims to develop an ensemble of several machine learning and deep learning models for early detection of T2DM with high accuracy. With high diversity of models, the ensemble will provide more excessive performance than single models. Methodology: The proposed system is modified enhanced ensemble of machine learning models for T2DM prediction. It is composed of Logistic Regression, Random Forest, SVM and Deep Neural Network models to generate a modified ensemble model. Results: The output of each model in the modified ensemble is used to figure out the final output of the system. The datasets being used for these models include Practice Fusion HER, Pima Indians diabetic's data, UCI AIM94 Dataset and CA Diabetes Prevalence 2014. In comparison to the previous solutions, the proposed ensemble model solution exposes the effectiveness of accuracy, sensitivity, and specificity. It provides an accuracy of 87.5% from 83.51% in average, sensitivity of 35.8% from 29.59% as well as specificity of 98.9% from 96.27%. The processing time of the proposed model solution with 96.6ms is faster than the state-of-the-art with 97.5ms. Conclusion: The proposed modified enhanced system in this work improves the overall prediction capability of T2DM using an ensemble of several machine learning and deep learning models. A majority voting scheme utilizes the output from several models to make the final accurate prediction. Regularization function in this work is modified in order to include the regularization of all the models in ensemble, that helps prevent the overfitting and encourages the generalization capacity of the proposed system.
Smart grid demand response strategies for datacenters
Authors: Muraña-Silvera Jonathan , Nesmachnow-Cánovas Sergio Enrique , Iturriaga-Fabra Santiago Damián , Montes De Oca Sebastián , Belcredi Gonzalo , Monzón-Rangeloff Pablo Ariel , Shepelev Vladimir Dmitrievitch , Tchernykh Andrei Nikolaevitch
Published: May 2021

This article presents demand response techniques for the participation of datacenters in smart electricity markets under the smart grid paradigm. The proposed approach includes a datacenter model based on empirical information to determine the power consumption of CPU-intensive and memory-intensive tasks. A negotiation approach between the datacenter and clients and a heuristic planning method for energy reduction optimization are proposed. The experimental evaluation is performed over realistic problem instances modeling different types of clients. Results indicate that the proposed approach is effective to provide appropriate demand response actions according to monetary incentives.
Devising a technology for managing outsourcing IT-projects with the application of fuzzy logic
Authors: Sokolovska Zoia , Dudnyk Oleksii
Published: May 2021

An outsourcing IT project management model has been developed. The proposed model features taking into account the specifics of project management processes at outsourcing IT companies in terms of the uncertainty of the external and internal environment of their operation. The model is based on the stage-gate project management framework with fuzzy logic tools. The proposed modification of the fuzzy inference mechanism makes it possible to refuse to save the intermediate results which reduce the load on the database and create the possibility of using semantic networks. The technology of expert consultations was demonstrated by the example of decision-making regarding the assessment of the current status of the IT projects accepted by the outsourcing company for development.
Dynamic nature and cyclical management of the portfolio of IT projects involves constant monitoring of the results of implementation with an appropriate regular portfolio reforming. The model was developed to improve the efficiency of the software development sub-process and minimize the negative consequences of financial dependence on the customer.
The application software developed on the basis of the model of management of outsourcing IT projects and modification of the fuzzy inference mechanism has found practical application and was implemented in the computational practice of HYS Enterprise B.V. outsourcing IT company. Testing of the program shell has shown positive results in the course of solving the tasks peculiar to concrete stages of IT project management.
The proposed structure and composition of the fuzzy knowledgebase of the expert shell are quite typical in terms of IT outsourcing problems. It is expedient to use the developed model at outsourcing IT companies in the process of project portfolio management
Development of the method of operational forecasting of fire in the premises of objects under real conditions
Authors: Pospelov Boris , Andronov Vladimir , Rybka Evgenіy , Samoilov Mikhail , Krainiukov Olekcii , Biryukov Igor , Butenko Tetiana , Bezuhla Yuliia , Karpets Kostiantyn , Kochanov Eduard
Published: May 2021

A method for operational forecasting of fires is proposed that enables the sequential implementation of five procedures. The method development is necessary to predict early fires in premises in order to take measures to prevent them from escalating into an uncontrolled combustion phase ‒ a fire. As a result of research, it was found that a short-term forecast of the recurrence of increments of the air conditions by one step, based on the current measure of recurrence, is an effective indicator of early fires in premises. At the same time, it was found that before the moment of ignition of the material, the state of the air environment is characterized by dynamic stability, which is described by an irregular and time-dependent random change in the recurrence of the states of the vector of current increments of the state of the air environment. The values of the indicated levels of recurrence of the state increments are determined by the probability levels of 0.67 and 0.1, respectively. The probability of recurrence of state increments of 0.67 is characteristic of a larger number of measured states. When the material is ignited, the dynamics of the probability of recurrence of state increments change abruptly. There is a transition from two to one level of recurrence, close to zero probability ‒ the loss of dynamic stability (in the region of count 250). Further dynamics are characterized by the appearance of separate random recurrent increments corresponding to the instability of the air environment in the premises. In the course of the experiment, it was found that the accuracy of predicting a fire by the proposed method ranges from 4.48 % to 12.79 %, which generally indicates its efficiency. The obtained data prove useful in the development of new systems that early warn of fire in premises, as well as in the modernization of existing systems and means of fire protection of premises
Designing a shock test system prototype based on a hydroelastic drive
Authors: Sheremet Oleksii , Kiriienko Tetiana , Besh Andrii , Sheremet Kateryna
Published: May 2021

Laboratory shock tests involve the reproduction of simple one-time and repeated pulses of a certain waveform. In practice, such mechanical impacts on an object are implemented at specialized testing equipment ‒ shock systems.
A promising direction in the development of shock machines includes the structures that operate on the energy of elastic deformation of the compressed liquid and the shell of the vessel that contains it. Such systems make it possible to improve the versatility, manageability, and accuracy of impact tests.
Underlying this study is the use of a hydroelastic drive to design a prototype of the automated electro-hydraulic system for a shock test system.
The proposed shock test system prototype makes it possible to expand the functionality of the installations to perform impact tests with a series of pulses, as well as improve manageability and increase the level of automation. The main feature of the proposed structural scheme is that the reconfiguration for a new impact pulse occurs very quickly. Owing to the presence of a driven rotary drum with braking devices, the bench makes it possible to generate a shock pulse repetition frequency of 1‒2 Hz.
The constructed mathematical model of the shock machine takes into consideration the inertia of moving masses, the rigidity of the liquid or "one-way" spring of the charging chamber, as well as the influence of dampers on which the test platform rests. The variables in the mathematical model are linked by differential equations describing two periods within a shock system work cycle: charging and pulse generation. The model's practical value is to determine the dynamic characteristics of the test installation, as well as to calculate the required structural and technological parameters.
The differential equations describing the movements at the shock machine have been solved in a numerical way. The study results have established the optimal value (in terms of minimizing the overload on an article on the return stroke of the rod) for the damping factor of the braking device, which is 13,000 kg/s. In this setting, the ratio of the amplitude of acceleration on the reverse stroke to the amplitude of effective acceleration during tests is reduced to a minimum of 0.195
Determining the dissipative properties of a flexible pipeline’s material at stretching in the transverse direction taking its structural elements into consideration
Authors: Nazarenko Sergii , Kovalenko Roman , Gavryliuk Andrii , Vinogradov Stanislav , Kryvoshei Borys , Pavlenko Sergey , Boikov Igor , Muzichuck Volodymyr , Kalinin Pavel
Published: May 2021

This paper reports an experimental study that determines the dissipative properties of a pressure fire hose, the type of «T», whose inner diameter is 77 mm, under the static load conditions, taking into consideration the structural elements of the hose in the transverse direction. For this study, experimental samples were separated from the different sections of the hose. The study involved both the outer fabric reinforced frame and the internal waterproofing rubber layer of the pressure fire hose. A series of field experiments were carried out while stretching the samples under the conditions of static loading-unloading cycles. The tests included 7 cycles, which were carried out in a two-minute interval for the material of the hose. The study results showed that during the first two to three cycles, the materials manifest a short-term creep that stabilizes under modes 4‒7. The results from experimental research were approximated by polynomial trend lines. The deformation of samples demonstrated the curves that, under the conditions of cyclic loading and unloading, formed hysteresis loops. When analyzing the appropriate curves, it was found that, first, during the first two-three loading-unloading cycles the area of the hysteresis loops decreases, second, the inclination angle of hysteresis loops also decreased during each subsequent loading-unloading cycle.
It was established that the dissipation coefficients of the hose material stretched in the transverse direction are significantly reduced under the first three test modes in the range from 0.49 to 0.37. At subsequent tests (cycles 4–7), dissipation coefficients stabilize at the level of 0.18 for the reinforced frame, and 0.316 for the rubber layer
Designing a kinematic module with rounding to model the processes of combined radial-longitudinal extrusion involving a tool whose configuration is complex
Authors: Hrudkina Natalia , Aliiev Igramotdin , Markov Oleg , Savchenko Iurii , Sukhovirska Liudmyla , Tahan Liubov
Published: May 2021

It is advisable that parts whose shape is complex and which are made from solid or hollow blanks should be made by means of transverse and combined radial-longitudinal extrusion. The variation of manufacturing modes, tool configurations (in the form of chambers and rounding of the transitional sections of matrices) requires an adequate preliminary assessment of the force regime and the features of part shape formation. This paper has proposed a curvilinear kinematic module of the trapezoidal form for modeling radial-longitudinal extrusion processes in the presence of matrix rounding. Given the impossibility of using a quarter-circle boundary for the kinematically assigned possible velocity field, it has been proposed to use approximate curves in the form of z1(r) and z2(r). Taking into account the slightest deviation in the length of the arc of the approximate curve z1(r) and the area of the curvilinear trapezoid bounded by it relative to a quarter of the circle (not exceeding 0.8 % for any ratio), it has been recommended using this particular replacement. We have performed calculations of the value of the reduced deformation pressure inside the kinematic module with rounding taking into consideration the power of cutting forces at the border with adjacent kinematic modules. As an example, the devised module with rounding embedded in the estimation scheme of radial extrusion was analyzed. A significant impact of friction conditions on the force mode and the corresponding optimal value of the rounding radius have been identified. The resulting kinematic module makes it possible to expand the capabilities of the energy method for modeling cold extrusion processes involving the tools of complex form according to new deformation schemes. That could contribute to preparing recommendations on the optimal tool configuration and more active industrial implementation of these processes
Development of effective fiber-reinforced concrete compositions used in transportation structures
Authors: Ahmadov Nizami , Shirinzade Irade
Published: May 2021

The possibility of producing fiber-reinforced concrete with high deformation properties by regulating the microstructure and using it in the design of transport structures was considered. It was found that to create high-performance transport structures, it is necessary to modify fiber mixtures with complex additives, i. e. increase the strength of fiber-reinforced concrete at the micro-level. To obtain a denser structure of the concrete matrix, complex additives were used – ultrafine additive (silica fume) and Master Air 200 B air-entraining additive. It was experimentally proved that using such additives reduces the water-cement ratio and further strengthens the concrete matrix structure.
The design of the unloading structure on the railway line constructed from the Karadag station (Republic of Azerbaijan) to the SOCAR oil and gas processing and petrochemical complex using fiber-reinforced concrete modified with complex additives was made. The results of designing the fiber-reinforced concrete unloading structure were analyzed and the results of designing the fiber-reinforced concrete unloading structure and the regular concrete unloading structure were compared. As a result of the comparison, it was found that using fiber-reinforced concrete decreases the cross-section diameter of the effective reinforcement of the slab – the cross-section diameter of the effective reinforcement of the pavement slab decreases from Æ2×32 mm to Æ32 mm in the upper and Æ25 mm in the lower row, respectively. Crack resistance is also increased compared to regular concrete.
Thus, in order to create structures with high transport and operational parameters, it is necessary to modify fiber-reinforced concrete mixtures with complex additives
Modeling mated surfaces with the required parameters
Authors: Ismailova Nelli , Bogach Valentyn , Lebedev Borys , Oliinyk Nataliia , Manakov Serhii
Published: May 2021

This paper has proposed improving the methods of circular and screw conversion, to be used in the design of cutting tools and toothing that include complex mated surfaces. Underlying the improvement of both methods is the construction of a mathematical base and the development of a computer subprogram, based on it, in the MATLAB system.
During the research, the original screw-type curved surface and the curvilinear generatrix axis were formed on the basis of improved methods, taking into consideration the exclusion of interference at the design stage.
A comprehensive solution to this problem is important for the manufacture of products by rolling. Given this, the original instrumental surface of the cutting tool takes into consideration the pairing condition between the article’s and tool’s points.
The result, when designing gears and cutting tools using the proposed improved methods, assigns the curvilinear surface parametrically, represented by two-dimensional arrays characterizing its coordinates. To avoid interference at the design stage, it is necessary to analyze the intersection of the axis of the curvilinear generatrix with horizontal planes. That would make it possible, when machining an article, to avoid cutting, jamming, as well as the dangerous concentration of stresses. The accuracy and reliability of a wide range of articles in machines and machinery and other kinematic pairs also improve.
The proposed improvement of circular and screw conversion methods to simulate curvilinear mated surfaces that exclude interference at the design stage is of practical interest in machine building
Synthesis of Ni(OH)2, suitable for supercapacitor application, by the cold template homogeneous precipitation method
Authors: Kovalenko Vadym , Kotok Valerii
Published: May 2021

α-Ni(OH)2 obtained by template homogeneous precipitation exhibits high electrochemical activity in supercapacitors. The main disadvantage is the high energy consumption for maintaining a high temperature during synthesis. To reduce energy consumption, it is proposed to lower the synthesis temperature. In the study, α-Ni(OH)2 was obtained by the method of cold template homogeneous precipitation using Culminal C8465 (0.5 %) as a template for 6 months at t=20–35 °С. The electrochemical characteristics of the sample were studied by cyclic voltammetry and galvanostatic charge-discharge cycling of a pasted binder-free electrode made without introducing an external binder in the supercapacitor mode. It was determined that low-crystalline α-Ni(OH)2 was formed, consisting of agglomerates of spherical particles. Low specific characteristics of nickel hydroxide were revealed at the beginning of cycling due to blocking of the active surface. It was shown that the specific capacity of the sample increased with further cycling due to the breakdown of aggregates into smaller particles; specific capacities of 80 F/g and 38 mA⋅h/g were obtained. However, the lack of binding properties of the template residues was revealed, resulting in a decrease in specific characteristics. It was concluded that it was necessary to introduce an external binder. A previously undescribed effect of a significant increase in the specific capacity during drying of an alkali-impregnated electrode caused by the disintegration of particle agglomerates during alkali carbonization (the maximum capacity is 135 F/g and 69 mA⋅h/g) was revealed. It was concluded that using the revealed effect of any nickel hydroxide samples obtained by various methods of bulk template synthesis was promising
Devising a method for recognizing the causes of deviations in the development of the plant Aloe arborescens L. using machine learning capabilities
Authors: Kim Gulnar , Demyanenko Alexandr , Savostin Alexey , Iklassova Kainizhamal
Published: May 2021

This paper considers the process of developing a method to recognize the causes of plant growth deviations from normal using the advancements in artificial intelligence. The medicinal plant Aloe arborescens L. was chosen as the object of this research given that this plant had been for decades one of the best-selling new products in the world. Aloe arborescens L. is famous for its medicinal properties used in medicine, cosmetology, and even the food industry. Diagnosing the abnormalities in the plant development in a timely and accurate manner plays an important role in preventing the loss of crop production yields.
The current study has built a method for recognizing the causes of abnormalities in the development of Aloe arborescens L. caused by a lack of watering or lighting, based on the use of transfer training of the VGG-16 convolutional neural network (United Kingdom). A given architecture is aimed at recognizing objects in images, which is the main reason for using it to achieve the goal set.
The analysis of the quality metrics of the proposed image classification process by specified classes has revealed high recognition reliability (for a normally developing plant, 91 %; for a plant without proper watering, 89 %; and for a plant without proper lighting, 83 %). The analysis of the validity of test sample recognition has demonstrated a similar validity of the plant's classification to one of three classes: 92.6 %; 87.5 %; and 85.5 %, respectively.
The results reported here make it possible to supplement the automated systems that control the mode parameters of hydroponic installations by the world's major producers with the main feedback on the deviation of the plant's development from the specified values
Effect of vibration treatment on increasing the durability of tillage equipment working bodies
Authors: Dudnikov Anatolii , Ivankova Olena , Gorbenko Oleksandr , Kelemesh Anton
Published: May 2021

This paper reports a study into the durability of tillage equipment working bodies. It has been established that the quality of surface layers during plastic deformation depends on a series of factors. These factors include the degree of hardening, the thickness of the hardened layer, the size and nature of the distribution of residual stresses.
The study has shown that the technology to restore working bodies that involves vibration oscillations provides for higher durability.
Investigation of deformed samples demonstrates that when exposed to vibration treatment, the microstructure is more fine-grained and even; the hardness of the treated surface of a ploughshare blade increases by 22‒35 %. This contributes to hardening the machined surface.
It has been established that the tillage equipment working body wear is a random process, which is predetermined by changes in the structural dimensions and shape of cutting elements. An analysis of the wear distribution density of cutting elements has revealed its compliance with the law of normal distribution.
It should be noted that the most influential geometric parameter of a working body affecting the part’s resource is the wear depth. This parameter determines the residual thickness of the ploughshare wall.
Data from surface-layer studies at hardening make it possible to note a decrease in the limiting state of the examined parameters. In particular, the wear of a ploughshare tip was 17 % less than the limiting state.
The study of durability has shown that the amount of tillage equipment working body wear is 1.28 times less when using vibrational plastic deformation. Accordingly, when restoring ploughshares, in order to increase the working bodies’ resource, it is more expedient to use a method that implies the welding of tires made from steel 45 involving sormite surfacing and vibration treatment
Development of an image segmentation model based on a convolutional neural network
Authors: Knysh Bogdan , Kulyk Yaroslav
Published: May 2021

This paper has considered a model of image segmentation using convolutional neural networks and studied the process efficiency based on models involving training the deep layers of convolutional neural networks. There are objective difficulties associated with determining the optimal characteristics of neural networks, so there is an issue related to retraining the neural network. Eliminating retraining by determining the optimal number of epochs only would not suffice since it does not provide high accuracy.
The requirements for the set of images for training and model verification were defined. These requirements are best met by the image sets PASCAL VOC (United Kingdom) and NVIDIA-Aerial Drone (USA).
It has been established that AlexNet (Canada) is a trained model and could perform image segmentation while object recognition reliability is insufficient. Therefore, there is a need to improve the efficiency of image segmentation. It is advisable to use the AlexNet architecture to build a specialized model, which, by changing the parameters and retraining some layers, would allow for a better process of image segmentation.
Five models have been trained using the following parameters: learning speed, the number of epochs, optimization algorithm, the type of learning speed change, a gamma coefficient, a pre-trained model.
A convolutional neural network has been developed to improve the accuracy and efficiency of image segmentation. Optimal neural network training parameters have been determined: learning speed is 0.0001, the number of epochs is 50, a gamma coefficient is 0.1, etc. An increase in accuracy by 3 % was achieved, which makes it possible to assert the correctness of the choice of the architecture for the developed network and the selection of parameters. That allows this network to be used for practical tasks related to image segmentation, in particular for devices with limited computing resources
Optimization of the main parameters of the support-lump-breaking coil
Authors: Nurimbetov Timur , Umarov Sukhrob , Khafizova Zulfiya , Bayjanov Sarsengaliy , Nazarbaev Orinbay , Mirkurbanova Rahima , Durmanov Akmal
Published: May 2021

Agricultural land plays an important role in ensuring food security and employment in rural areas. For many years, the planned economy has forced Uzbekistan to grow water-intensive crops, which has led to declining land productivity and increased crop yields. In a market economy, new innovative technologies are in high demand not only in agriculture but also in other sectors.
In order to solve the above-mentioned problems, our research has found it necessary to set goals and objectives.
The purpose of the study was to substantiate the parameters of frontal plowing slope, which provides high-quality execution of the technological process in accordance with the agro-technical requirements with minimum energy consumption without furrow plowing, agrotechnical and energy performance of variable frontal forks.
The following results were achieved by performing the tasks identified in the study: a – humidity V=16–17 % and load conditions with elastic rods of 3 mm, 4 mm, 5 mm; b – humidity V=13–14 % and the diameter of elastic rods is 3 mm, 4 mm, 5 mm; c – humidity V=9–10 % and the diameter of the elastic rods is 3 mm, 4 mm, 5 mm.
The experiments were performed on lumps with different humidity conditions: 9–10 %, 13–14 % and 16–17 %. The speed of the installation was 1.0 m/s.
The recommended technology was to destroy soil fragments with a moisture content of 16–17 % at a vertical load of 400 N with 3, 4 and 5 mm elastic rods at 86.6, 81.5, 75.1 %, respectively, and the vertical load equal to 1,000 N – 94.4, 89.2, 81.2 %, respectively
Development of a technique for computer simulation of the stress state of the drive drum shell of a belt conveyor to optimize its design parameters
Authors: Jassinbekov Olzhas , Isametova Madina , Kaldan Gabit
Published: May 2021

The paper considers the method of computer simulation of the stress-strain state of the drive drum shell in the NASTRAN integrated environment. Due to the complexity of determining stresses and deformations in the drum sections by the analytical method, it is proposed to solve this important problem using the numerical finite-element method. At the preliminary stage of computer modeling, a mechanical design scheme was developed, including a variable pressure that changes depending on the angle of rotation of the drum, the deterministic relations describing the variable force factors are based on the Euler ratio. It is also proposed to take into account the pressure from the variable friction force, which depends on the changing coefficient of adhesion of the belt to the drum.
As a result of the computer calculation, the equivalent Mises stresses of 65 MPa were determined, the safety factor was 4.2 and the components of the tangential stresses were determined using the stress tensor marker, the shear stress reached the level τ=16 MPa for fabric tape and τ=3.14 MPa for rubber tape. According to the results of the calculation, the dependence of the tangential stresses on the angle of rotation of the drum was constructed. A diagram of the change in the component of tangential stresses along the forming shell of the drum was constructed.
Analysis of stress-strain state allowed us to determine the factor of safety of the drum shell. Based on the analysis of equivalent stresses, it is proposed to further calculate the durability of the drum using the method of long-term fatigue. The computer calculation of shear stresses in the component allows choosing the rational parameters of the lining, based on such indicators as peel strength and break, as well as determining the angle 61° of the slab lining required to improve the reliability and traction ability of the pipeline
Influence of melt treatment parameters on the characteristics of modified cast iron in the metallurgical industry using data mining methods
Authors: Boldyrev Denis , Dema Roman , Latypov Oleg , Zhilenkov Anton , Emelianov Vitalii , Nedelkin Alexey
Published: May 2021

A study of the effect of holding the cast iron melt at temperatures of 1,300, 1,450 and 1,600 °C for 20, 55 and 90 minutes on the structure and properties of cast iron in a liquid state and after crystallization was carried out. The studies were carried out on samples with a diameter of 30 mm; cast iron containing 3.61–3.75 % carbon, 1.9–2.4 % silicon, 0.03 % manganese, 0.081–0.084 % phosphorus, 0.031–0.039 % sulfur was poured into green-sand molds. The samples were cast from the original cast iron (unmodified), modified with ferrosilicon 75 GOST 1415-93 (FS75), rare-earth metals (REM) and together with the REM+FS75 complex. The structure of cast iron was investigated by optical metallography, electron microscopy and X-ray structural analysis. An increase in the holding temperature and time of the cast iron melt leads to an increase in its hardness. An increase in temperature at a short holding time leads to an increase in strength in the entire investigated temperature range (1,300–1,600 °С). Holding for 90 minutes at a temperature of 1,450 °C corresponds to an extremum, after which, with a further increase in temperature, a sharp drop in strength is observed. The change in the toughness of cast iron is characterized in a similar way
Information processing psychodiagnostic system: designing and implementation
Authors: Lazurik Valentine , Styervoyedov Nicolay , Varlamova Natalia
Published: May 2021

The reasons for the creation of a modern psychodiagnostic system are considered. The design and implementation of an information processing system using the structure of the reference model of the Internet of Things is proposed. The existing psychodiagnostic tools and a number of disadvantages are described. In the process of developing the system design, requirements were formed: three-dimensional representation of signals, remote control of the diagnostic process, data collection, transmission and storage on a remote server, processing of results, expert assessment. The main two tasks of the study are formed. The structure of an information processing system containing four blocks interacting with each other is presented. The principle of operation of the system provides for the transfer of data for testing and saving the results on a cloud server using WiFi or GPRS connection. The Thingspeak cloud service used provides guaranteed access to research data "anytime and from anywhere in the world." Data exchange occurs every 15 seconds when using the free version and with a cycle of up to 1 second when using the cloud on a commercial basis. The models of LED-cube, LED-ball, LED panels diagnosed using addressable digital RGB LEDs with built-in WS2812B microcontrollers (PRC) have been developed. A method for assessing the influence of various types of load on the functional state of a person is proposed. Scenarios of data processing for the formation of a subject's profile in the case of unclear classes are considered. The importance of developing such a system lies in the possibility of using various types of communication for data transmission and the ability to adapt it to non-standard research requirements
Devising a model of the airflow with dust particles in the intake system of a vehicle’s internal combustion engine
Authors: Saraiev Olexii , Khrulev Alexander
Published: May 2021

This paper considers the mechanism of malfunction of internal combustion engines that implies the accelerated local wear of parts in individual cylinders as a result of uneven distribution of dust particles that pass through the air filter in the intake system.
In order to acquire quantitative data on the effect of the structure of the intake system on the redistribution of dust in engine cylinders, the two-phase flow of air with dust particles in the standard elements of the intake system was mathematically modeled.
ANSYS software package was used to solve the problem. A simulation technique was devised in which the airflow was first calculated to determine the boundary conditions for dust, after which the flow of air with particles was calculated. The calculations were carried out in a range of air velocities of 5‒20 m/s in branching channels with diversion angles of 45°, 90°, and 135° for the most characteristic particle sizes of 5‒30 µm. It has been estimated that dust particles deviate from the air streamlines by inertia and can slip through the lateral drain the stronger the larger particle size, diversion angle, and velocity of air.
The comparison of the simulation results with experimental data confirmed that in the intake system of some engines, due to uneven particle distribution, there is local abrasive wear in one or more cylinders, which can significantly reduce the resource. This paper shows the need to take into consideration the centrifugation and redistribution of dust in the intake systems during the design, modernization, expert studies to determine the causes of faults associated with faulty operating conditions, as well as to clarify the regulations for the maintenance of existing engines.
Development of temperature regime of storage of frozen black currants
Authors: Osokina Nina , Kostetska Kateryna , Herasymchuk Olena , Tkachenko Hennadii , Podpriatov Hryhorii , Pusik Ludmila , Falendysh Nataliy , Bobel Inna , Belinska Kristina
Published: May 2021

The process of ice formation in the pericarp of black currant depends on the pomological variety, the degree of ripeness of the fruit, and the method of freezing.
During the slow and fast freezing of black currant, four ranges of fruit cooling temperatures are distinguished:
1) from the temperature of the fruit to the temperature of initiation of ice formation;
2) from the temperature of the front (initiation) of ice formation to the lowest possible temperature of the fetal mesocarp;
3) from the lowest possible temperature of the mesocarp to the lowest temperature of the fetal endocarp;
4) from the lowest possible endocarp temperature to fetal freezing temperature. Fast freezing boosts cooling, freezing and freezing from 37 min. (slow) up to 5.6 min. due to a halving of the temperature of initiation of ice formation, an increase of 1.3 times in the rate of heat extraction and an increase in the freezing temperature from –22...–24 °С (slow) to –20.8 °С.
It is scientifically substantiated that the temperatures of freezing fruits significantly change the general existing recommendations (not higher than –18 °С) regarding the storage conditions of black currant fruits: with quick freezing, not higher than –21 °С, with slow freezing, not higher than –24 °С.
The formation of the properties of black currant occurs during the growing season under various agro-climatic conditions and affects the parameters of ice formation indicators.
The marketable condition, quality and organoleptic characteristics of black currant fruits depend on the method of freezing. The advantages of fast freezing of black currant fruits in a quick-freezing chamber with forced air circulation at a speed of 1.5–2.5 m/s at a temperature of –30...–32 °С in comparison with slow freezing in freezers at a temperature of –20 have been established. ..– 22 °С.
Determining the effect of change in the gas injection timing on the performance indicators of the diesel engine operating in the diesel-gas cycle
Authors: Kovbasenko Serhii , Holyk Andrii , Simonenko Vatalii
Published: May 2021

This paper reports a study into the fuel, economic, energy, and environmental indicators of the diesel engine operating in the diesel-gas cycle. It was established that the injection timing has a significant impact on the diesel engine indicators, in particular emissions of harmful substances with exhaust gases. The gas injection timing was investigated at crankshaft speeds n=1,300 rpm and n=1,600 rpm. At these crankshaft speeds, measurements were carried out at three different values of the injection timing. It has been determined that for each crankshaft speed of the diesel engine, the rational values of the injection timing of compressed natural gas are different. This is due to the time limits for supplying compressed natural gas to cylinders.
Bench motor tests were carried out to analyze the effect of change in the gas injection timing on the diesel engine performance indicators operating in the diesel-gas cycle. The diesel engine performance indicators were also determined during a diesel cycle and during a diesel-gas cycle. The analysis has established the effect of change in the injection timing on the concentrations of carbon monoxide, hydrocarbons, nitrogen oxides, and the smoke of exhaust gases under different speed and load modes of diesel engine operation. This effect manifests itself by a slight decrease in the concentration of carbon monoxide and hydrocarbons, by the increase in the concentration of nitrogen oxides (up to 30 %), and by a significant reduction in the smoke of exhaust gases (up to 90 %). The improvement of environmental indicators of the diesel engine has been confirmed when switching its operation to the diesel-gas cycle, by 10‒16 %, with similar fuel, economic, and energy indicators.
Thus, there are grounds to assert the importance of choosing and establishing the rational value for the injection timing of compressed natural gas, depending on the speed and load modes of diesel engine operating in the diesel-gas cycle.
Development of scientific and methodological approach to quantitative and qualitative assessment of intellectual property management in industrial enterprises
Authors: Raiko Diana , Cherepanova Viktoriia , Sylka Ihor , Podrez Olha , Fedorenko Irina
Published: May 2021

The competitiveness, market value and income of an enterprise depend on the level of intellectual property management. Therefore, the aim of research is to develop, substantiate and test a scientific and methodological approach to a quantitative and qualitative assessment of the management of intellectual property of industrial enterprises.
 The originality of the proposed approach is that on the basis of the concept of "management of intellectual property" a procedure for current management has been developed, the main stage of which is a quantitative and qualitative assessment. The assessment is based on the structural and logical model, which is built according to two criteria. The criteria make it possible to determine the current state of the use of intellectual property (intangible assets) – a quantitative assessment, and the prospect of further use (intellectual potential) – a qualitative assessment.
A quantitative assessment involves the calculation of indicators characterizing the state of assets, the dynamics of the impact on the market value of the enterprise, the profitability of production, which is proposed to be determined through the net cash flow from operating activities. A qualitative assessment is carried out in terms of components (information and investment, organizational and legal, economic, personnel and motivation), tools and relative indicators that characterize the intellectual potential of an industrial enterprise. The assessment is carried out using a general integral indicator, which is of practical importance, since it shows the existing level of intellectual property management and directions for improvement in the future.
The approbation of the scientific and methodological approach was carried out on the example of three Ukrainian coke-chemical enterprises (CJSC Avdeevka Coke Plant, CJSC Zaporozhkoks, CJSC Yuzhkoks) of the American association SUNCOKE ENERGY, INC and the Polish association J.S.W. S.A. Group. Empirical studies for the period from 2015 to 2019 made it possible to build a scale for assessing the level of intellectual property management according to the Harrington function
Phytochemical research and anti-inflammatory activity of the dry extracts from northern highbush blueberry leaves
Authors: Stremoukhov Oleksandr , Koshovyi Oleh , Komisarenko Mykola , Kireyev Igor , Gudzenko Andriy , Mykhailenko Olha , Korinek Michal , Hwang Tsong-Long , Chen Meng-Hua
Published: May 2021

All over the world, non-steroidal anti-inflammatory drugs (NSAIDs) are taken annually by about three hundred million people and this figure is constantly increasing. At the same time, NSAIDs are also one of the most common causes of side effects of drug therapy. The development and implementation of new anti-inflammatory drugs, including those of plant origin, with minimal side effects is an urgent task of modern pharmaceutical science. Vaccinium corymbosum L. (family Ericaceae), which is gaining more and more popularity among berry crops and is successfully cultivated in Ukraine, is promising in this direction for research.
The aim: phytochemical analysis of dry extracts from blueberry leaves to establish the possibility of creating new drugs with anti-inflammatory activity.
Materials and methods. The objects of the study were dry extracts of northern highbush blueberry leaves. The content of amino acids and phenolic compounds was determined by HPLC and spectrophotometry. The prototypal activity was studied in vivo and in vitro.
Research results. 4 dry extracts were obtained from northern highbush blueberry leaves. In the extracts obtained by HPLC, 7 amino acids were identified, including 3 essential ones: arginine, histidine, and phenylalanine. As a result of the HPLC study, 7 phenolic compounds were identified in extracts from the leaves of northern highbush blueberry: 5 flavonoids - rutin, quercetin-3-O-glucoside, kaempferol-3-O-glucoside, quercetin and kaempferol and 2 hydroxycinnamic acids, chlorogenic and caffeic acid. For the first time, the anti-inflammatory effect of extracts from blueberry leaves was investigated. It was revealed that extract 1 at a dose of 50 mg/kg and extract 4 modified with arginine at a dose of 25 mg/kg have the highest anti-inflammatory activity.
Conclusions. The results of the conducted studies indicate that extracts from the leaves of northern highbush blueberry in terms of the content of biologically active substances are promising sources for the creation of new drugs and dietary supplements with anti-inflammatory activity