bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of a method for managing technical systems using a bio-inspired algorithm
Authors: Sova Oleg , Dmytriiev Illia , Kuchuk Nina , Yefymenko Oleksandr , Lytvynenko Nataliia , Plekhova Ganna , Shatrov Andrii , Chemerys Yevheniy , Dovbenko Oleksii , Stoichev Maksym 
Published: July 2024

Today’s management solutions depend precisely on the successful solution of optimization problems, which are discontinuous, undifferentiated and multimodal. One of the approaches to increase the efficiency of solving optimization problems is bio-inspired algorithms. The object of the study is complex dynamic objects. The subject of the study is the decision-making process in the problems of managing complex dynamic objects. A management method using a bio-inspired algorithm is proposed. The research is based on the goose algorithm – for finding a solution to the state of dynamic objects with a hierarchical structure. Evolving artificial neural networks are used to train goose agents (GA) and an advanced genetic algorithm is used to select the best ones in the combined swarm algorithm.
The originality of the proposed method lies in setting GA taking into account the uncertainty of the initial data, improved global and local search procedures. Also, the originality of the study lies in determining GA food locations, which allows choosing the priority of search in a given direction. The next element in the originality of the study is the ability to determine the indicators of guard GA, which allows adjusting the amount of time during which the GA flock will be located. Another original element of the study is the determination of the initial velocity of each GA. This makes it possible to optimize the speed of conducting exploration by each GA in a certain research direction. The method allows increasing the efficiency of data processing at the level of 10–12 % by using additional improved procedures. The proposed method should be used to solve problems of evaluating complex dynamic objects
Method for synthesizing the concept of automating the system to manage personnel training processes based on categorial analysis
Authors: Nykyforov Alexey , Nykyforov Anton , Antoshchenkov Roman , Polyansky Pavlo , Halych Ivan , Kis Victor , Dombrovska Alla , Kilimnik Inna , Usyk Andrii 
Published: July 2024

This paper considers a three-level system for managing personnel training within the Ministry of Defense of Ukraine.
When devising the concept of automating control processes in systems of this kind, the key issue is to ensure completeness in significant aspects of the management process. Insufficient conceptual completeness compromises effectiveness of the automated system for organizational control (ASOC) and causes difficulties (impossibility) in its further modernization.
A method has been proposed for formulating functional tasks (FTs) in specialized software (SSW) for ASOC based on categorical analysis in combination with the provisions of the conceptual design of automated control systems (ACS). The application of this method was demonstrated using an example of the system for managing personnel training. Categorical analysis of the management process was carried out for the strategic, operational, and tactical hierarchical levels of the system based on three dual pairs. Eight control aspects were obtained. On their basis, 79 FTs were stated for the strategic level. For the operational and tactical levels, by taking into account the specificity of training, the number of aspects was 2; FTs ‒ 204 and 195, respectively. An example has been given for two of the eight aspects of control, their interpretation and formulation of FTs for the strategic level of management.
The generated FTs represent the concept of ASOC and provide, within the established boundaries of analysis, the completeness of control aspects in personnel training.
The reported results are of interest in the conceptual design of large ASOC, as well as in the formation of technical specifications for software developers
A robust optimization to dynamic supplier decisions and supply allocation problems in the multi-retail industry
Authors: Aryza Solly , Efendi Syahril , Sihombing Poltak , Sawaluddin Sawaluddin 
Published: July 2024

The research focuses on multi-retail distribution with a strategic distribution network. Challenges include intense competition, logistical and transportation complexities requiring robust infrastructure like warehouses and efficient supply chain management, as well as operational inefficiencies and distribution costs. To address these issues, a model is applied to make strategic decisions, such as determining the necessary number of facilities to minimize total supply chain network operational costs and infrastructure for retail distribution. The outcome is a model that introduces a novel approach to enhancing supply chain efficiency and effectiveness from production to distribution stages, thereby reducing system costs, including ordering costs and inventory handling. Costs and loss costs resulting from remaining products produced can be minimized by considering networks, multiple suppliers, multiple warehouses, Distribution Centers (DC), multiple retailers, and multiple products, factoring in the distances between facilities in the network. Subsequently, comprehensive testing of inspection, distribution, and retail parameters is conducted, with a focus on specific periods and product types. When applying this model, certain characteristics need to be considered regarding the importance of selecting efficient suppliers of goods, such as procurement, performance improvement, and the number of supply chains and supply chain systems. This research introduces novelty in production methods that can lead to increased customer satisfaction, sales, market share, profit margins, more effective brand advertising, and revenue streams. In this process, the research undergoes a training, testing, and validation process in forming a strategic multi-retail distribution network model, spanning a total of 52 epochs. This process yields accuracy values for training at 90 %, testing at 92 %, and validation at 94 %
Development of an evaluation method using a combined cat swarm optimization algorithm
Authors: Tarkhan Aqeel Bahr , Kuchuk Heorhii , Stanovska Iraida , Golian Vira , Golian Nataliia , Zharova Oksana , Kryzhanivskyi Yevhen , Liubarets Andrii , Zvershkhovskyi Igor , Fysiuk Artem 
Published: July 2024

The object of the study is complex dynamic objects with a hierarchical structure. The problem solved in the study is to increase the efficiency of decision-making while ensuring the given reliability. The subject of the study is the process of decision-making in management problems using an improved cat swarm optimization algorithm (CSO), an improved genetic algorithm and evolving artificial neural networks.
The proposed method, due to additional and improved procedures, allows you:
– to take into account the type of uncertainty of the initial data for setting CA for the local search procedure;
– to implement adaptive strategies for finding food sources by CA;
– to take into account the experience of the most authoritative CA while conducting local and global search;
– to take into account the available computing resources of the state analysis system of complex dynamic objects and determine their required amount for involvement;
– to take into account the CA search priority;
– to determine the best CA using an improved genetic algorithm;
– to conduct training of knowledge bases, which is carried out by training the synaptic weights of the artificial neural network, the type and parameters of the membership function, and architecture of individual elements and the architecture of the artificial neural network as a whole;
– to avoid the local extremum problem by using the jump procedure.
The proposed method was tested on the example of solving the problem of determining the composition of an operational group of troops (forces) and elements of its operational structure. An example of using the method showed an increase in the efficiency of data processing at the level of 14–19 % by using additional improved procedures.
The proposed approach should be used to solve the problems of evaluating complex and dynamic processes characterized by a high degree of complexity
Developing a technology for modeling radar portraits of complex-shape objects for intelligent recognition systems
Authors: Komar Mykola , Sieriebriakov Artem , Tymchyshyn Roman , Bondar Serhii 
Published: July 2024

The object of this study is the modeling of radar portraits (RPs) for intelligent recognition systems based on the use of faceted 3D models. In order to solve the problems of target identification in homing systems of high-precision missile weapons, a technology is needed that could make it possible to efficiently and quickly generate RPs of military objects of complex shape in the required quantity.
The research results are based on a combination of separate component technologies, in particular: the devised technology of using faceted 3D models – their construction and further processing with invisible surfaces excluded from it for an arbitrary viewing angle. The basic part of the work is the development of an algorithm and technological procedures for the formation of a spatial tracing grid for the current observation angle. A feature of the proposed technology is the application of a facet selection algorithm using an array of tracing facets and the application of the Huygens-Fresnel principle to recognize objects of complex shape.
The RP database of military objects of complex shape was built. The results of modeling faceted RP’s, in particular the armored boat "Gyurza-M", are given.
The results of the experimental study showed the ability to recognize the type of military object of complex shape at the level of 80‒90 %, which makes the use of this technology appropriate for recognizing military objects of complex shape.
The achieved high-speed and quality characteristics of RP generation of military objects of a complex shape makes it possible to assume that the main prospective field of practical application is the identification and visual interpretation of targets in homing systems of high-precision missile weapons
Development of a non-standard system for simplifying boolean functions
Authors: Solomko Mykhailo 
Published: July 2024

The object of this study is models of low-power digital logic circuits. The problem being solved is the effectiveness of the technique for simplifying Boolean functions to obtain optimal structures of logic circuits. A new theorem of a non-standard system of simplification of Boolean functions has been formulated, according to which in order to obtain a minimal function it will suffice to perform all non-redundant operations of simple and/or super-gluing of variables, which ultimately provides a minimal function in the main basis without using an implicant table. Thus, the problem of simplifying Boolean functions to the simplest normal equivalent is solved in one step. The interpretation of the result is that the properties of 2-(n, b)-design combinatorial systems make it possible to reproduce the definition of logical operations of super-gluing variables, to represent logical operations in a different way, and vice versa. This, in turn, ensures the establishment of the locations of equivalent transformations on the binary structure of the truth table and the implication of a systematic procedure for simplifying Boolean functions by an analytical method. Special feature of the results is that unambiguous identification of the locations of equivalent transformations is possible even when different intervals of the Boolean space containing the 2-(n, b)-design systems have common modules.
It has been experimentally confirmed that the non-standard system improves the efficiency of simplifying Boolean functions, including partially defined ones, by 200–300 % compared to analogs.
In terms of application, a non-standard system for simplifying Boolean functions will ensure the transfer of innovations to material production: from conducting fundamental research, expanding the capabilities of digital component design technology to organizing serial or mass production of novelties
Determining the possibility of making mulberry wine by using the osmotic dehydration process
Authors: Samilyk Maryna , Nosyk Mykola , Ryzhkova Taisia , Bolhova Nataliia , Tkachuk Svetlana , Sakhnenko Anna , Petrenko Alla , Hrinchenko Dmytro , Hnoievyi Ihor 
Published: July 2024

This study aimed to determine the possibility of using osmotic dehydration in the production of mulberry wine. Mulberry fruits (Mórus nígra L.) were mixed with 70 % sucrose solution and osmotic dehydration was carried out (τ=1 h, t=50±5 °C). At the stage of active fermentation, the osmotic solution separated from the fruits was added to the must (10 % by mass). Partially dehydrated mulberry fruits were infused for 12 hours in water at a temperature of 10–15 °C. The formed must was separated from the fruits, mixed with an osmotic solution, and a solution formed during pressing of dehydrated fruits. The mixture was fermented at 20±2 °C for 20 days under static conditions. At the end of fermentation, the young wine was kept at a temperature of 3–5 °C for 1 month. A second transfusion was performed, and its quality indicators were analyzed. It was established that the osmotic solutions formed during the osmotic dehydration of black mulberry fruits contain 42.60±0.25 mg/100 g of anthocyanins, which makes them an effective basis and additive for giving wine the desired sensory characteristics. The high content of anthocyanins in wine (35.8±0.5 mg/100 g) provides for its stable red-ruby color. As a result of hydrolysis, sucrose, which was the main component of the osmotic solution before mulberry dehydration, is transformed into glucose (27.74±0.05 g/100 g) and fructose (28.60±0.05 g/100 g). This significantly increases its biological value and gives the wine a harmonious taste characteristic of fruit wines. The wine made on the basis of mulberry fruit processing products is rated at 7.5 points. It had a pleasant taste and color, but a poorly developed aroma. Mulberry wine was classified as semi-dry because it had a low alcohol content (6±0.5 %), a low concentration of sugars (13.0±0.5 g/dm3), and a high concentration of volatile acids (1.4±0.5 g/dm3)
Determining the number of small-sized radars in a network with coherent signal processing for the detection of stealth aerial vehicles
Authors: Khudov Hennadii , Makoveichuk Oleksandr , Butko Ihor , Murzin Mykhajlo , Zvonko Andrii , Adamenko Anatolii , Bashynskyi Dmytro , Salnyk Oleh , Nyshchuk Andrii , Khudov Vladyslav 
Published: July 2024

The object of this study is the process of determining the number of small-sized radars in the network when detecting stealth unmanned aerial vehicles. The main hypothesis of the study assumed that determining the optimal number of small-sized radars in the network will make it possible not to waste unnecessary resources of radars to detect stealth unmanned aerial vehicles.
The main stages of detection of a stealth unmanned aerial vehicle by a network of small-sized radars are:
– reception of the signal reflected from a stealth unmanned aerial vehicle by all small-sized radars of the network;
– coordinated filtering of incoming signals in each small-sized radar;
– compensation of phase shifts in each matched filter;
– coherent addition of output signals from each matched filter at the output of the receivers of each of the N small-sized radars performing reception;
– formation of a complex bypass at the output of the corresponding Doppler channel in each small-sized radar of the network;
– coherent processing of signals from all elements of the network of small-sized radars;
– detection of the output signal from the adder of coherent signals. At the same time, compensation for the random initial phase of signals reflected from a stealth unmanned aerial vehicle is also performed.
It has been established that the increase in the elements of the network of small-sized radars increases the value of the conditional probability of correct detection. Such an increase is more significant when the number of elements in the network of small-sized radars is increased to two or three. The gain in the signal/noise ratio when adding elements to the network of small-sized radars was evaluated. It was established that the optimal number of small-sized radars in a network with coherent signal processing when detecting stealth unmanned aerial vehicles is 2‒3 radars
Enhancing side die resistance to thermal shock in automotive casting: a comparative study of FCD550 and SKD6 materials
Authors: Patria Herry , Susanto Iwan , Belyamin Belyamin , Kamal Dianta Mustofa 
Published: July 2024

Enhancement of side die resistance to thermal shock in mold disc car applications was achieved by substituting FCD550 material with SKD6 material. The primary issue addressed is the cracking of side dies due to thermal shock induced by an accelerated production process, leading to production halts and failure to meet large customer orders. The study aims to identify a material that can better withstand thermal shock than FCD550, thereby improving the durability of side dies and the overall productivity of the manufacturing process. The research involved direct production experiments, analyzing the materials FCD550 and SKD6, evaluating die characteristics, and assessing finished product attributes before and after material changes. Laboratory tests and machine-setting trials were conducted, varying production processes and assessing the results. The findings indicate that SKD6 is significantly more resistant to thermal shock than FCD550 in mold disc car applications. The study compared the strength of side die materials using data sheets and adjusted setting parameters under existing cooling conditions. Experimentation involved altering the standard temperature from 520 °C–545 °C to 532 °C–538 °C and reducing the soaking time from a minimum of 270–540 seconds to 332 seconds. This reduced soaking time from 69 seconds to 46 seconds and aging time from 190 seconds to 180 seconds, increasing casting productivity from 194,870 pieces/28 days to 213,311 pieces/28 days across seven machines, thereby fulfilling the customer’s requirement of 200,000 pieces/28 days without side die cracks. Durability testing on five product samples according to TSD5605G standards confirmed the quality as meeting customer specifications
Development a novel design of miniaturized heptagonal Koch fractal wide band antenna for 5G mm wave and IoT applications
Authors: Kassym Ruslan , Balgynbek Turdybek , Serikov Tansaule , Ahmetova Patam , Sergazin Gani , Ozhikenov Kasymbek , Sultangaziyev Tanirnazar , Kumar Pramod , Tlenshiyeva Akmaral , Yernazarov Nursultan 
Published: July 2024

The object of the study is a compact heptagonal broadband antenna specially designed for use in the 5G millimeter band using Koch fractals to improve performance. As a result of the study, the most important problem of achieving higher gain, improving bandwidth and reducing interference at higher frequencies, which is necessary for the effective functioning of 5G networks, was solved. As a result, the maximum realized gain of 5 dB was obtained at a frequency of 27.58 GHz with an impressive bandwidth in the range from 26.5 to 40 GHz.
The use of Koch fractal geometry and defective ground planes significantly improves impedance matching and expands bandwidth, which explains the excellent antenna performance compared to traditional designs. The features and distinguishing features of the results obtained, thanks to which they allowed solving the problem under study, are its compact dimensions (only 9 mm by 9 mm) and the ability to maintain VSWR at a level of less than 2 in the entire frequency spectrum. These features make the antenna particularly suitable for millimeter-band integration and flexible applications such as portable devices and wearable home appliances.
The field of practical application of the results includes integration into portable and wearable devices, improving the performance and connectivity of Internet of Things applications. The conditions of practical use require compliance with 5G network standards and compatibility with millimeter-wave technologies. This characterizes the antenna as a significant achievement in antenna technology, demonstrating its potential for widespread adoption in next-generation wireless communication systems and paving the way for more reliable and high-performance wireless networks
Devising measures to reduce multi-frequency noise load on employees in machining area
Authors: Rieznik Dmytro , Sukach Serhii , Chencheva Olga , Lashko Yevhenii , Kozlovskaya Tatyana , Volkov Oleksandr , Petrenko Ivan , Mukha Oleh , Hryniuk Vitaly , Sapa Serhii 
Published: July 2024

The object of this study is the process of determining and managing the risks of noise exposure (NE) for employees at the mechanical department when machining metals on a drilling machine (DM).
The problem relates to the increase in the risk of an employee receiving an industrial injury because of NE at the workplace of a machine tool. The impact of noise on the human body depends on the duration of exposure, the level of sound pressure, and its intensity. An important characteristic of noise is its frequency composition, as it can affect the perception of sounds and the human body. Prolonged exposure to noise can damage various systems in the human body or cause pain. Therefore, it is important to understand the impact of NE on workers and devise measures to reduce the negative impact on their health and work productivity. The research is based on real-time noise measurements followed by their decomposition into octave frequencies and modeling of noise propagation in the room with and without the use of various types and designs of soundproof barriers (SB). In the course of the study of NE propagation during drilling on the machine, an excess of noise levels at medium and high frequencies near the noise source was found. An employee who works on DM is exposed to high-frequency noise that exceeds the established normative indicators. Therefore, it is necessary to use personal protective equipment for the machine operator and install safety equipment to protect other workplaces. The use of the latter makes it possible to significantly reduce the impact of NE on workers, in particular, at low frequencies by 20.8 %, at medium frequencies by 15.6 %, and at high frequencies by 17.3 %