bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a solution search method using a combined bio-inspired algorithm
Authors: Thamer Khudhair Abed , Sova Oleg , Shaposhnikova Olena , Yashchenok Volodymyr , Stanovska Iraida , Shostak Serhii , Rudenko Oleksandr , Petruk Serhii , Matsyi Olha , Kashkevich Svitlana 
Published: March 2024

The object of the study is decision support systems. The subject of the study is the decision-making process in management problems using a combined bio-inspired algorithm, consisting of:
– the improved wolf optimization algorithm and the improved sparrow search algorithm – for solving optimization problems regarding the object state;
– an advanced genetic algorithm – for selecting the best agents in flocks;
– an advanced training method – for deep training of agents to improve the optimization characteristics of agents.
A solution search method using an improved bio-inspired algorithm is proposed. The method has the following sequence of actions:
– input of initial data;
– initialization of the search for a flock of sparrows and its parameters;
– ranking and selection of sparrow agents using an advanced genetic algorithm;
– updating the sparrow location for the discoverer;
– checking the conditions for updating the position of sparrows;
– initialization of additional search parameters;
− running the gray wolf optimization algorithm;
– training agents’ knowledge bases;
– determining the amount of necessary computing resources of the intelligent decision support system.
The originality of the proposed method lies in the combined use of bio-inspired algorithms, setting agents taking into account the uncertainty of the initial data, advanced global and local search procedures. The method makes it possible to increase the efficiency of data processing at the level of 19 % using additional improved procedures. The proposed method should be used to solve the problems of evaluating complex and dynamic processes in the interest of solving national security problems
Establishing patterns in reducing fire-dangerous properties of sip panels fire-protected with reactive coating
Authors: Tsapko Yuriy , Tsapko Аleksii , Likhnyovskyi Ruslan , Sukhanevych Maryna , Zapolskiy Leonid , Illiuchenko Pavlo , Bedratiuk Olga 
Published: March 2024

An issue related to using SIP panels for building structures is to ensure their stability and durability during operation in wide ranges. Therefore, the object of research was the change in the properties of wood-polymer material in case of fire and its protection when applied with a reactive coating capable of forming a pinocoke layer under the influence of high temperature on the coating. It has been proven that in the process of thermal action on the fire-resistant coating, the heat insulation process of SIP panels involves the formation of soot-like products on the surface of the material. Thus, under the action of the radiation panel on the surface of the OSB sample, after 120 s of thermal exposure, the process of intensive formation of a layer of foam coke, which thermally insulated the wood-polymer material, began; instead, after the radiation panel was exposed to the fire-resistant polystyrene foam sample, the process of destruction began at a temperature of about 100 °C polystyrene foam. When determining the flammability of a fire-resistant SIP panel, it was established that the temperature of the flue gases during the tests was no more than 110 °C, the length of the damaged sample did not exceed 460 mm. At the same time, the mass loss did not exceed 200 g, and independent combustion of the SIP panel sample did not occur despite the high temperature. According to these data, the SIP panel, fire-resistant with a reaction coating, belongs to group G1 (low flammability) and is a non-flammable material. The practical significance is that the results were taken into account during the design of buildings from SIP panels. So, there are reasons to assert the possibility of targeted regulation of the fire protection processes of SIP panels through the use of reactive coatings capable of forming a protective layer on the surface of the material that inhibits the rate of heat transfer
Improving the technology of oxidative stabilization of rapeseed oil
Authors: Staroselska Nataliia , Korchak Mykola , Ovsiannikova Tetiana , Falalieieva Tetiana , Ternovyi Oleksandr , Krainov Valerii , Mohutova Valentyna , Morozova Liubov , Chudak Roman , Mylostyvyi Roman 
Published: March 2024

The object of the research is the oxidation process of rapeseed oil.
Rapeseed oil is used for technical purposes, in the chemical and food industries, in particular, in the production of ecological fuel. Vegetable oils are subjected to oxidative deterioration processes, which are intensified under the conditions of access to oxygen, elevated temperatures, etc. Oxidation products worsen the technological properties and complicate the use of oils in chemical reactions. An important task is to improve the technology of oxidative stabilization of rapeseed oil, which is of great industrial importance.
The oxidation process of refined deodorized rapeseed oil according to DSTU 8175 (CAS Number 120962-03-0) at a temperature of 110 °C was studied by the method of differential scanning calorimetry. The influence of different ratios of antioxidants (tocopherol, butylhydroxyanisole and butylhydroxytoluene) in the mixture on the oil induction period was determined. The total concentration of the antioxidant mixture in each experiment was 0.02 %. The induction period of the initial oil is 408.48 min. The rational ratios of the components of the antioxidant mixture were determined: tocopherol: butylhydroxyanisole (75:25) %; tocopherol: butylhydroxyanisole: butylhydroxytoluene (66.67:16.67:16.67) %. The corresponding oil induction periods were 579.75 min. and 561.55 min.
The physico-chemical indicators of rapeseed oil after 12 months of storage at a temperature of (20±2) °C in its original form and with the addition of the developed antioxidant mixtures were determined. The peroxide value of the oil was 12.5, 4.59, 6.45 ½ O mmol/kg, respectively.
The research results allow improving the technology of oxidative stabilization of rapeseed oil at elevated and standard temperatures. This will help to extend the oil shelf life, more efficiently and rationally use the oil in various areas
Defining innovative areas and prospects to develop the patenting of technological advances in the automotive power plant industry
Authors: Mishchenko Mykyta 
Published: March 2024

The object of this study is the field of patenting of technological advances registered in the world in the field of automotive power plants. The subject of the study is the dynamics of patenting in the automotive power plant industry, associated with the need to harmonize the trajectories of technological development with global trends in energy efficiency and manufacturability, in order to ensure sustainable economic growth. Patenting in the industry is considered in the following areas: gasoline engines, diesel engines, hybrid cars, electric cars, hydrogen cars. The relevance of this study is determined by the general desire of society to innovate through the latest tools and the introduction of systemic measures to comprehensively address the problem of increasing energy efficiency and reducing air pollution caused by road transport. The paper analyzes the statistics of patents registered in the world, examines patent activity and trends in the patenting of technological advances in the automotive industry from 2010 to 2022. In the industry of gasoline and diesel engines, hybrid vehicles, electric vehicles and hydrogen vehicles, the current work investigates through systematization and analysis of important aspects of patenting statistics and innovation dynamics. For the period of 2017–2022, the average increase in the number of registered patents per year compared to the previous period was found to be 1.37 times higher for the area of "hybrid vehicles", 1.3 times higher for the area of "electric vehicles", and 26 times higher for the area of "hydrogen vehicles". A comparative analysis of the number of registered patents by areas was carried out, further patenting rates were predicted, and priority areas of research and innovation were identified
Identifying the influence of design parameters of single-chamber hydrostatic bearing of fuel pump on its main characteristics
Authors: Nazin Vladimir 
Published: March 2024

The object of this study is hydrostatic processes in the fluid friction bearings of gear-type aviation fuel pumps.
The problem of the influence of the design parameters of a single-chamber hydrostatic bearing on its main characteristics was solved. The main characteristics were considered to be the load-bearing capacity and the flow rate of the working fluid. When determining the main characteristics of a single-chamber hydrostatic bearing, the Reynolds and flow balance equations were solved jointly. The resulting diagram of pressure distribution over the working surface of the bearing was used to determine the main characteristics.
The influence of the clearance, nozzle diameter, and chamber width on the load-bearing capacity and working fluid flow of a single-chamber hydrostatic bearing was studied.
It has been established that as the gap increases, the load-bearing capacity of a single-chamber bearing decreases, and the flow rate of the working fluid increases. As the nozzle diameter increases, the bearing's load-bearing capacity increases. Increasing the width of the chambers leads to an increase in the load-bearing capacity and flow of working fluid through the bearing. When the gap increases from 0.0125 mm to 0.0425 mm, the bearing capacity decreases by 1.156 times. The flow rate of working fluid through the bearing increases by 1.4 times. With an increase in the nozzle diameter from 1.5 mm to 3 mm, the bearing capacity increases slightly by approximately 1.02 times. Increasing the width of the chambers from 4 mm to 8 mm increases the load-bearing capacity by 1.29 times and increases the flow rate of working fluid by 1.4 times.
The results show that a single-chamber hydrostatic bearing can provide the required load-bearing capacity by selecting design parameters. The given mathematical dependences could be used for practical calculations of single-chamber hydrostatic bearings
Devising a procedure for integrated modeling of riverbed shape in the area of bridge crossing in order to avoid dangerous washing erosion
Authors: Onyshchenko Artur , Ostroverkh Вorys , Potapenko Liudmyla , Kovalchuk Vitalii , Zdolnyk Oleksandr , Pentsak Andriy 
Published: March 2024

The object of research is a riverbed in the area of a bridge crossing, which is subject to the action of high water during the passage of a flood.
The selection of parameters and contours of the scheme of the river section was carried out using a mathematical model of the flow and deformation of the bed of the riverbed before and after the change of its shape. It was established that the assignment of parameters of the operational slot should be performed on the basis of the principle of creating natural analogs of riverbed shapes, riverbed and floodplain terraces, with the use of mathematical modeling.
To reduce erosion in the area of bridge crossings, it is proposed to regulate the riverbed by constructing a canalized riverbed. Modeling according to this option showed that the erosion in the span of a road bridge decreased and did not exceed 1.5 m. In addition, it was established that a significant role in ensuring the stability of the river is played by the vegetation cover in floodplain areas.
Using the method of mathematical modeling, it was established that the area near the convex bank with a width of 150 m is subject to the strongest erosion in the design of the supports. Siltation of the existing left-bank bottom basin is also observed.
It is recommended to make a decision to carry out restorative cutting of riverbed alignment annually after receiving a flood forecast from the local hydrometeorological station. In the case of a high flood warning, work should be carried out to clear the sleeves on the approach to the construction of the bridge deck.
It was established that the most stable shape of riverbeds is in the form of curvilinear incomplete meandering when the radii of curvature R and the width of the riverbed B satisfy the ratio R=(4...7) B at riverbed-forming flow rate. At the same time, radii of curvature R<3.5 B should not be allowed, as this leads to separation of the flow from the convex bank and excessive erosion of the concave bank
The dependence of the effectiveness of neural networks for recognizing human voice on language
Authors: Nurlankyzy Aigul , Akhmediyarova Ainur , Zhetpisbayeva Ainur , Namazbayev Timur , Yskak Asset , Yerzhan Nurdaulet , Medetov Bekbolat 
Published: March 2024

This study examines the effectiveness of neural network architectures (multilayer perceptron MLP, convolutional neural network CNN, recurrent neural network RNN) for human voice recognition, with an emphasis on the Kazakh language. Problems related to language, the difference between speakers, and the influence of network architecture on recognition accuracy are considered. The methodology includes extensive training and testing, studying the accuracy of recognition in different languages, and different sets of data on speakers. Using a comparative analysis, this study evaluates the performance of three architectures trained exclusively in the Kazakh language. The testing included statements in Kazakhs and other languages, while the number of speakers varied to assess its impact on recognition accuracy.
During the study, the results showed that CNN neural networks are more effective in recognizing human voice than RNN and MLP. Also, it was found that the CNN has a higher accuracy in recognizing the human voice in the Kazakh language, both for a small and for a large number of announcers. For example, for 20 speakers, the recognition error in Russian was 21.86 %, whereas in Kazakhs it was 10.6 %. A similar trend was observed for 80 speakers: 16.2 % Russians and 8.3 % Kazakhs. It can also be argued that learning one language does not guarantee high recognition accuracy in other languages. Therefore, the accuracy of human voice recognition by neural networks depends significantly on the language in which training is conducted.
In addition, this study highlights the importance of different sets of speaker data to achieve optimal results. This knowledge is crucial for advancing the development of reliable human voice recognition systems that can accurately identify different human voices in different language contexts
Improvement of technology for producing wine material for Tokaj wine
Authors: Bagirzade Afaq , Omarov Yashar , Heydarov Elnur , Ismayilov Mehman , Gasimova Afet , Cavadov Mezahir , Nabiyev Ahad 
Published: March 2024

The object of this study is the production technology of Tokaj-type wine materials. The material used was white and red grape varieties, withered by twisting on the vine for 4–5 days. Wine materials were prepared from these grape varieties using new technology, i.e., by adding the wort to the alcohol along with the pulp. The technology for the production of environmentally friendly Tokaj-type sweet dessert wines using technical grape varieties cultivated in the foothills of the Goy-Gol and flat zone of the Samukh region has been improved. Providing the population with environmentally friendly food products, as well as wines, is one of the most important tasks of our time. Poor quality food creates conditions for the development of various diseases. For this purpose, a technological scheme for the production of Tokaj-type wine materials has been devised. The quality indicators of Tokaj wine material prepared by fermenting in alcohol must from grapes withered by twisting on the vine for 4–5 days with pulp for 3–4 days were studied. The rates of alcohol loss were calculated based on the contraction coefficient (0.08 %) during co-fermentation with wort. For wine materials prepared from grape varieties grown under the conditions of the Samukh region, alcohol consumption is reduced. This is due to the high sugar content in the wine material. In the prepared wine material, the amount of alcohol and sugar corresponded to the norm – the alcohol content reached 14–15 % and residual sugar 16 %. As a result of the tasting, wine material prepared from the Rkatsiteli grape variety in the Samukh region was rated 9.5 points, and wine material prepared from the red Madras grape variety 9.3 points. The results make it possible to regulate the desired quality of wine material and use it in the production of Tokaj wine
Improving the technology for constructing a software tool to determine the similarity of raster graphic images
Authors: Hrabovskyi Yevhen , Bondarenko Dmytro , Kobzev Igor 
Published: March 2024

The object of research is the process of searching and analyzing images of raster graphics. In the context of this work, the problem of the lack of an effective and fast procedure for determining the similarity of images was solved.
The technology for improving the construction of a software tool for determining the similarity of raster graphics images by devising a procedure for determining the similarity of images using a hash code that corresponds to all variants of the image, regardless of size and aspect ratio, is reported. The image features of raster graphics were systematized.
A procedure for determining the similarity of images using a hash code is proposed. This procedure makes it possible to process all possible variants of the image, regardless of the size and aspect ratio. The resulting indicator of the proposed procedure is the value of the hash codes.
It is proposed to use the mathematical apparatus of fuzzy logic by introducing linguistic variables to estimate the similarity index. A comparison of the numerical values of similarity, obtained on the basis of the use of information systems, and the linguistic values revealed in the survey process was carried out. Threshold values were obtained that make it possible to assess the degree of similarity of the images.
Based on the proposed algorithm, a prototype of the information system for determining the similarity of images of raster graphics has been designed. As a result of the calculation of the numerical characteristics of the improvement of the technology of constructing a software tool for determining the similarity of images of raster graphics, the value of the precision indicators was approximately 0.89 and the completeness was 0.8. The advantage of the proposed technology for determining the similarity of images over known analog technologies is illustrated by the amount of RAM of the developed software, which is 210 MB
The effect of carbon black percentage on mechanical properties and microstructure of polybutylene terephthalate/polyamide 6/carbon black blends
Authors: Pham Thi Hong Nga , Hua Phan Hieu , Ngo Quoc Bao , Ha Trong Kien , Nguyen Vinh Tien , Nguyen Chi Thanh , Pham Quan Anh 
Published: March 2024

This study focuses on analyzing the influence of carbon black (CB) on Polybutylene terephthalate (PBT)/Polyamide 6 (PA6) blends. This study aims to solve the source of waste from toothbrush filament during production. This PBT/PA6 mixture does not meet the mechanical properties due to the incompatibility of these two plastics, which means this waste must be discarded and cannot be reused. When combined with CB, it creates a new type of plastic with more stable mechanical properties that can be applied in many areas of life and, at the same time, helps manufacturing businesses save on waste treatment costs. To create these PBT/PA6/CB blends, the research team used injection molding with a PBT/PA6 ratio of 75/25 combined with 0, 4, 8, and 12 % carbon black. The tensile and impact strength were tested according to the ASTM D638 and ASTM D256 standards. The results found that when adding 4 % CB to the PBT/PA6 plastic mixture, the tensile strength decreased from 34.9 to 34.8 MPa. Meanwhile, the tensile strength is improved when adding 8 % CB (35.3 MPa). At 12 % CB, a difference in tensile strength results, decreasing to 29.7 MPa. This result shows that the ratio 75/25 can give the best tensile strength value of the PBT/PA6 mixture with 8 wt. % CB. The impact strength was 3.5, 2.9, and 2.7 kJ/m2 according to 4, 8, and 12 % CB samples. Mechanical quality tests have shown that the tensile strength is improved when combining CB into the PBT/PA6 mixture, but the impact strength is reduced. SEM results show that most CB interacts with PBT/PA6 mainly because the PA6 particles are spherical and tend to separate easily from the mixture. The research found that increasing CB density worsens the bonding ability between PBT and PA6. These results help us provide experience for the most appropriate application for each purpose
IoT system development for heart rhythm monitoring and cardiovascular risk estimation
Authors: Monroy Martín Emilo , Chanchí Gabriel Elías , Ospina Manuel Alejandro 
Published: March 2024

The research focuses on addressing the global issue of cardiovascular diseases. The key variable under consideration for predicting cardiovascular diseases is heart rate variability (HRV). Leveraging the widespread adoption of IoT in various applications, particularly in the health sector, the study proposes the design and implementation of an IoT system for HRV monitoring. The research unfolded in four methodological phases: exploration and selection of technologies, definition of the IoT architecture, development of the prototype, and verification of its functionality. The implemented IoT system adheres to the conventional 4-layer IoT architecture: capture, storage, analysis, and visualization. Heart rate data is periodically acquired using a heart rate sensor and an Arduino-compatible board. The storage layer employs a non-relational database to store the captured data. The analysis layer extracts metrics related to HRV (High: RR <750 ms, Moderate: RR 750–900 ms, Low: RR >900 ms) by applying and delivering quantitative results from clustering algorithms such as machine learning models to evaluate data distribution. Risk levels indicate specific patient metrics. Thus, a 75-year-old patient exhibits an average HR of 75.56, Avg. RR of 795.42, falling into Cluster 1 with a risk value of 1.0. Similar detailed metrics and risk stratifications are presented for patients aged 68, 46, 37, and 18, demonstrating the system's robustness and efficacy in assessing cardiovascular risk. The visualization layer enables real-time observation of physiological variables, risk metrics, and results from data analytics models. The distinctive features of the results lie in the portability advantages of the IoT system, utilizing free hardware and software tools. This facilitates easy replication and utilization of the proposed system in medical campaigns, specifically for the early detection of cardiac conditions. The portable IoT system, leveraging free tools, enhances predictive capabilities for early cardiovascular risk detection globally