bluuebunny/crossref_metadata_2025 huggingface dataset:
Software tools for organizing cloud computing in psychophysiological research based on eyetracking data
Authors: Pavlenko Vitaliy D. , Ilutsa Andrii S. , Gidulian Vadym I.
Published: October 2024

The architecture and web version of the software complex have been developed, which significantly expands the diagnostic capabilities of model-oriented information technologies for the assessment of the neurophysiological state. The complex provides cross-platform cloud computing, increases the productivity and efficiency of scientific research, using methods of non-parametric identification of the oculomotor system based on eyetracking data, which is achieved thanks to a new concept of cloud computing organization. Cloud computing technology has been further developed thanks to the proposed concept that combines the principles of PaaS (Platform as a Service) and SaaS (Software as a Service). The key feature of this software complex is its undemanding hardware on the client side thanks to the use of cloud computing, and its modular structure, which allows it to be easily scaled. Compared to other similar services, the complex has several advantages: it provides effective work in research and educational areas, supports several programming languages for improving algorithms, and also allows the use of ready-made identification methods through specially developed GUI interfaces. In addition, it offers social capabilities and a high level of abstraction that optimizes the research process.
A three-tier approach to Internet of Things software architecture design
Authors: Chumachenko Danylo K. , Liubchenko Vira V.
Published: October 2024

The Internet of Things (IoT) rapidly evolves, presenting challenges and opportunities. This study emphasises the critical role of software in advancing IoT technologies, focusing on machine learning (ML), fog computing, and process optimisation for security and resiliency. ML is pivotal in IoT for predicting equipment failures, evaluating process efficiency, and enabling informed decision- making through real-time data analysis. By integrating ML models directly into IoT devices (edge computing), latency is reduced, and data transmission needs are minimised. Fog computing and cloud computing address latency issues by moving computational resources closer to IoT devices, enhancing scalability and optimising network resource usage. Security remains a paramount concern due to the increasing number of connected devices and their vulnerabilities. IoT software must balance efficiency, security, and performance, employing deep learning for anomaly detection, blockchain for data transparency, and optimised encryption protocols. The trend towards distributed architectures like Edge Computing enhances system resilience by reducing latency and increasing fault tolerance. The proposed IoT system architecture is a three-tier structure consisting of Edge, Fog, and Cloud levels. At the Edge level, initial data processing occurs directly on IoT devices, reducing latency and network load. The Fog level processes data within the local network, utilising more powerful computational resources for complex tasks and ensuring security through advanced machine learning and encryption. The Cloud level serves as a central repository for long-term storage and global data analysis, leveraging containerisation and orchestration technologies for scalability and reliability. This multi-layered architecture ensures efficient data processing, high security, and adaptability, making it suitable for real-time applications. The study highlights the importance of software in optimising data processing across these levels, ensuring the IoT system’s resilience, scalability, and long-term sustainability.
An automated social media manager based on artificial intelligence
Authors: Kolosiuk Oleksii A. , Zinovatna Svitlana L.
Published: October 2024

In today's world of social media, where brands and companies constantly interact with their audiences, the automation of content management processes is becoming increasingly important. Manual content creation, publication, and analysis on social networks require significant resources and time. Automated social media management systems based on artificial intelligence help simplify these processes, enhancing efficiency and optimizing audience engagement strategies. Artificial intelligence in social media marketing systems allows for the automation of tasks such as creating text posts, scheduling publications across different platforms, and analyzing user interactions. Artificial intelligence can analyze audience behavior, predict the optimal time for posts, and recommend changes to content strategies for maximum reach. This not only saves time but also improves the effectiveness of marketing campaigns through more accurate analytical data. However, the automation of social media marketing also faces challenges. The primary issues include the complexity of integrating different social networks into a single management system and the limitations in generating high-quality content that meets the emotional and stylistic requirements of the brand. Additionally, a major challenge is content personalization based on data analysis, which must account for each audience segment's unique needs and behavioral characteristics. Despite these challenges, the prospects for developing automated social media marketing managers are promising due to ongoing innovations in artificial intelligence and machine learning. Future research and development will focus on improving the quality of automated content generation, enhancing user interfaces, and integrating new social platforms to expand multi-channel marketing campaign management capabilities. Thus, the automation of social media marketing is a promising field that will enable brands and companies to optimize their audience engagement strategies while significantly reducing the time and resources required for content creation, publication, and analysis. This work presents the structure of the main entities of an automated social media management system based on artificial intelligence, including users, professions, questions, answers, settings, and integration with Telegram. The developed system enables efficient content management, automates publications, and personalizes audience interaction based on user responses. The system's described key components, attributes, and relationships provide scalability and flexibility, allowing brands and companies to optimize their marketing strategies and client interactions.
iOS-based mobile application for network performance analysis
Authors: Makarova Anastasiia M. , Troinina Anastasiia S.
Published: October 2024

In today's world, when technology is developing faster and faster, many people face network malfunctions and threats. Ensuring the security and performance of your own network is a critical task for many IT professionals and ordinary users. There are many tools and ways to monitor, analyse and secure your network, but a mobile app is an extremely convenient option. A mobile application that combines several network functions at once saves time and is always at hand. Networking tools in a smartphone can replace many different desktop applications and websites (web APIs), provide command line tools, etc. The iOS operating system has high security standards and its ecosystem is quite closed. This protects users from a lot of malware and makes the device extremely resistant to hacking. However, it also imposes some restrictions on the network and system for the average user. That's why iOS apps that include a variety of networking tools are a really useful tool for users. To keep the network in an efficient and secure state, iOS has specific ways to monitor and detect network problems: Wi-Fi analysers, checking network routes and interfaces, checking Internet speed, ping, traceroute, etc. The use of these technologies in the application under consideration will enable efficient analysis of network productivity.
A method of developing ensemble classifiers for recognizing audio data of various nature
Authors: Andronati Oleksandr K. , Arsirii Olena O. , Nikolenko Anatoly O. , Oleg Kunditv I.
Published: October 2024

The work developed a method of building ensemble classifiers for recognizing audio data of various nature. The method is a tentative date and requires the following steps. In the first step, the input datasets are selected, which are transformed and divided into training and test samples, respectively. RAVDESS datasets are chosen for the task of audio emotion recognition, music genre recognition is performed on the GTZAN dataset. In the second step, the following seven classifiers were created and investigated as elements of ensemble classifiers: K Nearest Neighbors, Support Vector Machine, Random Forest, XGBoost, Multilayer Perceptron, Convolutional Neural Network and Long Short-term Memory. In the process of training elementary classifiers, the corresponding hyperparameters were adjusted using the Grid Search approach. In the third step, elementary classifiers were combined using the stacking ensemble method with such types of aggregation as soft voting, hard voting, soft voting using the GOMPERTZ function. All possible ensemble combinations starting with three elementary classifiers for recognizing audio emotions and music genres were tested. Therefore, the total number of ensembles studied in the work was 297. The research results for the problem of audio emotion classification showed that the accuracy of recognition according to the Accuracy metric of the best ensemble classifier is 8.1% higher than that of the best elementary classifier in its composition, which is based on on MLP, and according to the F1 metric, this indicator is 8% higher. For the task of recognizing music genres, the corresponding indicators are higher by 5.6 % and 5.2 %, respectively.
On Waterfall's cryptoeconomic forecast
Authors: Grybniak Sergii S. , Leonchyk Yevhen Y. , Mazurok Igor Y. , Nashyvan Oleksandr S. , Vorokhta Alisa Y.
Published: October 2024

This work presents a system dynamics modeling approach to evaluate critical economic metrics on the Waterfall platform, a decentralized public network. The constructed model serves as a significant tool for understanding the intricate economic processes within the platform and supports informed decision-making by stakeholders. By using input parameters such as the number of network validators and transactions per second (TPS) over time, the model projects key metrics like the inflation rate and total supply of coins, providing insights into the platform's economic stability. The Waterfall platform is designed as a scalable smart contract ecosystem, underpinned by cryptoeconomics, to ensure a self- sustaining and self-regulating environment that maximizes stakeholder benefits. The platform's mainnet, launched in June 2024, has shown consistency between testnet results and theoretical calculations, demonstrating the robustness of the underlying economic model. However, as with any economic system, forecasting is essential for decision-making and improving efficiency. The system dynamics model allows for the exploration of different scenarios, considering various growth assumptions for validators and TPS, to project future economic conditions of the platform. Three scenarios – pessimistic, realistic, and optimistic – are considered, each with distinct growth trajectories for the number of validators and TPS. The outcomes highlight that while the initial stages of the network are characterized by high reward rates due to a smaller number of validators, these rates decline as more validators join, affecting the inflation rate over time. The relationship between the minting of new coins (as validator rewards) and the burning of transaction fees determines the system's inflationary dynamics. Under certain conditions, an increase in TPS could lead to deflation, enhancing the platform's economic sustainability. The results suggest that Waterfall's cryptoeconomic model has a strong potential for long-term stability and growth. The model's flexibility allows for adjustments based on real-time data and expert judgments, making it a valuable tool for both internal stakeholders and external analysts. This approach could also be applied to studying the cryptoeconomics of other decentralized networks, providing a broader understanding of their economic stability and long-term viability.
Comparison of text information from information sources based on the cosine similarity algorithm
Authors: Uhryn Dmytro I. , Kalancha Artem D.
Published: October 2024

This article presents research aimed at developing an optimal concept of analysis and comparison of information sources based on large volumes of textual information using natural language processing (NLP) methods. The object of the study was Telegram news channels, which are used as sources of text data. Texts were pre-processed, including cleaning, tokenization, and lemmatization, to form a global dictionary consisting of unique words from all information sources. For each source, a vector representation of the texts was built, the dimension of which corresponds to the number of unique words in the global dictionary. The frequency of use of each word in the channel's texts was displayed in the corresponding positions of the vector. By applying the cosine similarity algorithm to pairs of vectors, a square matrix was obtained that demonstrates the degree of similarity between different sources. The results of the study show the effectiveness of the proposed approach for quantitative assessment of the similarity of textual data from different sources. The need for further optimization of the algorithm was identified, in particular by parameterization to achieve a balance between accuracy and computational cost, as well as the separation of words with excessive weight, such as specific terms or channel names. The proposed method can be applied to the analysis of information flows, the identification of relationships between sources and the study of the socio-cultural influence of media content in the conditions of the modern information environment.
Improving the accuracy of weighing systems in motion using dynamic neural networks
Authors: Fomin Oleksandr O. , Tataryn Oleksii V. , Fruntov Oleh V. , Kanevskyi Vitalii O.
Published: October 2024

The paper is devoted to solving the problem of weighing vehicles in motion as part of modern information technologies and automated intelligent systems for managing urban resources and infrastructure. The aim of the work is to improve the accuracy of measurements in systems for weighing vehicles in motion in heavy traffic as part of intelligent urban infrastructure management systems, thereby contributing to the efficiency and sustainability of urban processes. The scientific novelty is the use of models in the form of neural networks with time delays to process data from weighing sensors. The application of this approach makes it possible to improve the accuracy of mass measurement in weighing systems in motion under conditions of intense traffic by taking into account the dynamic and nonlinear properties of the weighing process. The practical usefulness of the developed method lies in the development of new innovative weighing systems as part of modern information technologies and automated intelligent systems for managing urban resources and infrastructure. Testing the method on a simulation model of the WIM process demonstrated advantages in weighing accuracy compared to traditional methods using static and linear models. Experimental data showed a reduction in the root mean square error compared to the traditional method based on Kalman filters, which confirms the effectiveness of the proposed approach.
Using the Termux mobile application for forensic expertise of Android devices
Authors: Isachenko Olha V.
Published: October 2024

Mobile device logical data extraction methods extract the data present on the device by interacting with the operating system and accessing the file system. These methods are important because they provide valuable data, work on most devices, and are easy to use. Again the concept of rooting comes into play when extracting data. Boolean methods don't actually require root access to extract data. However, having root access on the device allows you to access all the files present on the device. This means that some data can be extracted on a non-rooted device, while root access will unlock the device and give access to all files present on the device. Therefore, having a rooted device will greatly affect the amount and type of data that can be retrieved using the logical methods. The adb utility is often used to logistically retrieve data from the device. It facilitates various actions with the device, such as installing and debugging programs, copying data, creating system backups. adb provides access to the phone shell, which can be used to execute various commands on the device. But if to work with this and other necessary utilities from a mobile phone, using the Termux terminal, in some cases it significantly saves time and effort. Termux allows to read, process, analyze data from a target device using just phone, providing a highly mobile way of working with data.
The impact of Big Data on analyzing and forecasting cultural trends
Authors: Dobroier Nataliia V.
Published: October 2024

In the context of globalization and digitalization, the cultural space is undergoing significant changes, necessitating new approaches to the analysis and forecasting of cultural trends. The use of Big Data technologies opens up new possibilities for studying the dynamics of cultural perception and provides valuable insights for strategic planning. Big Data technologies enable the collection and analysis of vast amounts of diverse data from various sources, such as social media, streaming content platforms, online stores, and event organization platforms. This allows for the identification of global and local trends in the perception of Ukrainian culture. To illustrate this approach, an experiment was conducted on August 23, 2024, analyzing search results for information on Ukrainian culture in Google across four languages: Russian, Ukrainian, Polish, and English. Analyzing the first five links provided by the search engine for each language revealed significant differences in the emphasis of cultural aspects depending on the linguistic context. This demonstrated how contextual factors and cultural-political circumstances influence the perception of cultural topics. Integrating Big Data into cultural analysis enables a deeper understanding of how cultural preferences evolve and what factors influence them. It helps identify new patterns, changes in public opinion, and consumer behavior, which is critical for adapting strategies in a rapidly changing environment. For example, Big Data can reveal how cultural products are perceived in different regions and demographic groups, highlight the impact of geopolitical events on cultural perception, and provide insights into the effectiveness of cultural diplomatic initiatives. Moreover, Big Data technologies enhance the speed and accuracy of trend forecasting, allowing for predictions of future developments in cultural preferences and behavior. This predictive capability is essential for cultural organizations and businesses striving to remain competitive and relevant in a dynamic market. By utilizing modern data processing tools and analytical techniques, stakeholders can develop targeted marketing campaigns, create relevant content, and make informed decisions regarding long-term strategic planning. Overall, the application of Big Data in cultural analysis represents a significant breakthrough in understanding and navigating the complex interrelationships between culture and technology. It provides a robust foundation for studying cultural trends and making data-driven decisions that address both current and future cultural realities.
Polish cinema as a means of cultural communication in different contexts
Authors: Konstantinova Olga V. , Tozhyieva Vitaliia V. , Andreeva Alina Y. , Dzhurynska Anastasiia S.
Published: October 2024

The article presents the role of Polish cinema as a means of cultural communication, briefly analyses the origin, development and current state as a carrier of cultural values of the Polish people. After a short period of development, Polish cinema faced the challenges of the Second World War, and then the censorship and control imposed by the communist regime. The ideological aspects of the dialogue with Western values were reflected in the films of the early period of the Polish People's Republic. Later, in the post- war period in the 70s and 80s, at the turn of the change of generations, the works of the directors of the so-called The Cinema of Moral Anxiety reflected social conflict, a sense of moral decline, double standards, corruption and lack of democracy, i.e. topics that had not been previously represented in Polish cinema. Famous Polish directors such as Krzysztof Kieślowski, Krzysztof Zanussi, Andrzej Wajda, Agnieszka Holland and others embodied the aesthetic principles of the era in their works, engaged in a dialogue with Western art, and criticised the communist and Nazi regimes. Contemporary Polish cinema has faced the challenges of globalisation and the free market, where it has to compete with Western films for the attention of consumers, and on the other hand, to be a carrier of Polish identity and culture.
Mechatronic technological system based on CNC and intelligent mechatronic mechanism
Authors: Larshin Vasily P. , Gushchin Anatoly M. , Lysyi Oleksandr V. , Verpivskyi Sergii M. , Buchka Egor V.
Published: October 2024

A mechatronic technological system (MTS) has been developed. It consisting of a CNC metal-cutting machine tool and a mechatronic spindle, made on the basis of an intelligent mechatronic mechanism (IMM). The main elements of the technological system – the CNC and IMM devices – are parts of a single hierarchical, two-level control system, representing, respectively, the upper and lower control levels in this system. The upper control level – the CNC device – ensures stabilization of the kinematic parameters of machining (displacement, speed, acceleration) and their software change in accordance with the CNC control program. The lower control level – the IMM device – ensures stabilization of the power parameters of mechanical machining (cutting axial force and torque) and their software change in accordance with the technological requirements for the surface quality and the physical-and-mechanical state of the surface layer of the machined parts. At both control levels (the upper and lower ones), closed automatic control systems “by deviation” of the adjustable kinematic (upper control level) and power (lower control level) parameters of mechanical machining are functioning. Moreover, the automatic control system of the lower control level of the hierarchy in relation to a similar automatic control system of the upper control level, implements the method of automatic control “by disturbance”. This, in addition to directly ensuring surface finish and surface integrity, allows improving the quality of stabilization of kinematic cutting parameters at the upper control level. Experimental studies of MTS were carried out when machining parts from various materials (steel, polymer composite materials, superhard crystals and stones, other difficult-to-machine materials).
Development of intelligent mechatronic motion module of mobile industrial robot
Authors: Shevchuk Oleksii S. , Voytenko Vladimir A.
Published: October 2024

Modern industry is inextricably linked with mobile industrial robots, which plays a key role in production processes and warehouse logistics. The intensive introduction of mobile industrial robots has increased the need to improve the energy efficiency of robotic installations due to their significant impact on overall production costs. At the same time, there is a pressing need to reduce the time required to develop and implement mobile industrial robots. This leads to the need to improve and optimize the properties of all components that make up a mobile industrial robot. Currently, electric drives are most widely used in mobile industrial robots. Research shows that the use of modern high-tech solutions in the construction of electric drive control systems can improve the energy efficiency of mobile industrial robots. In turn, the introduction of an intelligent component into mechatronic motion modules allows to reduce the time required for their construction and integration into mobile industrial robots. The purpose of the study is to increase the energy efficiency of an intelligent mechatronic motion module by using a multi-motor electric drive in the movement system of a mobile industrial robot and to develop a stable and energy-efficient intelligent automatic control system based on a neural network, taking into account the nonlinear properties of the control object under conditions of uncertainty.
Model of the non-stationary thermal processes in the ground heat pump system
Authors: Denysova Alla E. , Ivanov Pavlo O.
Published: October 2024

One of the main directions for improving heat supply systems is the tendency to switch to low-temperature heating systems by using heat pump units is the tendency of implementation the low-temperature heating systems based on the use of heat pump units. In the work, the main attention is focused on the improvement of thermal parameters and circuit design features of elements of the heat pump system of heat supply using soil energy. For this purpose, the toolkit of mathematical modelling of processes in ground heat pumps is applied, taking into account the climatic conditions of Ukraine. The paper proves the technical possibility of creating an autonomous system of alternative heat supply for energy-saving technologies with the possibility of using ground energy, taking into account environmental requirements. It is substantiated that the use of the proposed systems is a promising direction for Ukraine, which is experiencing a shortage of its own energy resources, because it provides an opportunity to increase the share of organic fuel substitution and reduce the volume of heat emissions into the environment. A mathematical model of heat processes in the elements of the heat exchange equipment of the heat pump system based on renewable energy (soil energy) and secondary energy (wastewater) was developed, taking into account environmental requirements (preventing hypothermia of the soil during the operation of soil pipes and damage to vegetation, respectively), which allows choosing a rational mode of operation of the system under seasonal climatic changes and technological conditions. Numerical modelling of heat processes in elements of the heat exchange equipment of the heat pump system using groundwater and waste water was performed, and the energy and environmental efficiency of the system under variable climatic and technological factors was determined. Analysis and generalization of the calculation results of the heat pump heat supply systems using alternative energy based on the proposed mathematical model, taking into account environmental requirements (preventing thermal relaxation of the soil) allows to take into account the change in the temperature gradient around the soil heat exchanger and more accurately determine the heat flow from each section of the heat exchanger. It has been established that for heat pumps with soil heat exchangers, the maximum substitution ratio of the traditional fuel is 75 %, and the economically feasible quantity of soil heat exchangers is 9 units. Heat pumps using waste water can completely replace traditional heat supply systems. For individual consumers, it is possible to recommend heat pump units with soil heat exchangers, at the same time, it is necessary to provide a backup source of energy to increase the reliability of heat supply.
Modeling of thermo-aerodynamic and environmental parameters on the example of a two-pipe water heating boiler that has worked out the park resource
Authors: Rachуnskyі Arthur Yu. , Baraniuk Oleksandr V. , Chernousenko Olga Yu.
Published: October 2024

Topics related to fuel combustion and its impact on the environment will never lose their relevance, as the issues of efficient combustion and emission reduction are key in power generation and environmental protection. The countries of the European Union are massively abandoning the use of natural gas as a fuel for thermal power station. However, in Asian countries, the ease of using natural gas in industry as the main fuel, its environmental friendliness compared to coal, made it possible to widely use natural gas in industry and energy. Comparing natural gas with alternative combustible gases (generator, blast furnace, mine, biogas), the main conclusion can be drawn that it has the most attractive characteristics for its use in industry, including energy. Therefore, it is impossible to replace it with alternative fuels in the chemical, heavy industry and energy industry in the near future. The presented work is devoted to CFD modeling of stabilized combustion without premixing in a burner with low swirl for two operating modes of the boiler unit - nominal and at 60% capacity. The study was carried out using numerical methods using the ANSYS-Fluent application program package. The object of the study is a burner built according to the technology based on the use of jet-niche systems with gas distribution of fuel by circular jets fed perpendicularly into the flow of the oxidizer through a single- row system of holes. Hydrodynamics and heat exchange processes were chosen as the subject of research, based on the analysis of which a model of NO x generation in SNS was obtained. In this work, two types of burners are considered. In one of the burners, fuel is supplied through rectangular slits, in the other – through round holes arranged in a row. Air is supplied to both burners through rectangular slits. It was determined that gas distribution through round holes increases the spraying of the mixture and increases the area of spraying of combustion products. Visualization of the distribution of pressure, temperature, kinetic energy profiles of turbulent pulsations and vorticity was carried out. The obtained results indicate that there are no changes in the flow regime, flame displacement or its instability. It was determined that both the axial velocity and the tangential velocity of the flow affect the distribution of combustion products and harmful impurities such as NO x . Gas distribution in circular jets stabilizes combustion and reduces flame expansion.
Analysis of thermotechnical characteristics of the thermoelectric film heating system
Authors: Nedbailo Oleksandr М. , Vlasenko Olha V. , Moshkov Oleksandr S.
Published: October 2024

Modern world trends in increasing the energy efficiency of heat supply systems, in particular, are aimed at decentralizing the supply of heat to consumers, and also involve the use of low-temperature heating systems. The Institute of Technical Thermophysics of the National Academy of Sciences of Ukraine together with the specialists of the Department of Thermal and Alternative Energy of the National Technical University of Ukraine “Ihor Sikorskyi Kyiv Polytechnic Institute” carried out scientific research and analysis of the main thermal characteristics of the electrothermal film heating system (model ZHDM-WM-220-180 /225/270) and accessories for it manufactured by ZHONGHUI (HEILONGJIANG) UNDERGROUND HEATING CORPORATION (People's Republic of China). The results of the study of the main thermal technical characteristics of the thermoelectrical film heating system are given. The analysis of the design of the heat-dissipating mat showed relatively high reliability of its components and acceptable operational characteristics for various objects of the housing and communal economy.
MODIFIED FEM ALGORITHM WITH INTRODUCED ELASTIC BLOCKS FOR GEOMECHANICAL MODELING OF UNDERMINED ROCK MASS
Authors: ЖУРАВКОВ М.А. , НИКОЛАЙЧИК М.А. , КЛИМКОВИЧ Н.М.
Published: October 2024

Рассмотрена задача численного моделирования геомеханического состояния породного массива при отработке пласта полезного ископаемого одиночным широким очистным забоем. Разработаны численные расчетные схемы, моделирующие геомеханическое состояние породной толщи от дневной поверхности до глубины ведения горных работ. Модельные задачи решены в двухмерной и трехмерной постановках. Полученные характеристики мульды оседаний дневной поверхности сравнивались с соответствующими характеристиками, рассчитанными с использованием инженерной методики. Результаты моделирования верифицировались данными натурных наблюдений за оседаниями реперов. Сравнительный анализ характеристик мульды оседания дневной поверхности, полученных в соответствии с построенной геомеханической моделью и согласно инженерной методике, показал корреляцию соответствующих значений для каждого из рассмотренных вариантов.

The authors attempt the numerical modeling of the geomechanical behavior of a rock mass in the course of single unit face longwall mining. The calculation models are constructed for the rock mass geomechanics from ground surface down to mining depth. The model problems are solved in two and in three dimensions. The resultant characteristics of a trough subsidence on ground surface were compared with the data of engineering analysis. The modeling results are verified using actual in-situ observations of check point subsidence. The comparative analysis of the trough subsidence characteristics on ground surface from the geomechanical modeling and engineering analysis show their correlation in case of all test alternatives.
INTERFACE STRUCTURES AND STRENGTH CHARACTERISTICS OF COAL FREEZING ADHESION ON TRANSPORTATION EQUIPMENT IN COLD REGIONS
Authors: ДА А. , ИФЭЙ Ч. , ЧУНЬХУА В.
Published: October 2024

Проведены испытания примерзания угля к типовым подложкам (металлическая, резиновая и пластиковая), изучены поверхности раздела между углем и подложкой и детально проанализированы прочностные характеристики примерзания угля. В устойчивой поверхности раздела между углем и подложкой образуется области замерзшего угольного шлама, непосредственного контакта и воздушные полости. Поверхности металлических и резиновых подложек имеют малый угол смачивания и являются гидрофильными. Отделение примерзшего угля от таких подложек происходит либо по замерзшему угольному шламу, либо непосредственно по замерзшему углю, поэтому адзегионная прочность примерзания угля определяется прочностью угольного шлама или прочностью самого угля. Поверхности пластиковых подложек имеют большой угол смачиваемости и являются гидрофобными; отделение угля происходит по поверхности контакта замерзшего угольного шлама с подложкой; прочность примерзания угля обусловлена прочностью сцепления шлама с подложкой. Адгезионная прочность примерзания угля к пластиковым подложкам в 4 - 12 раз меньше, чем к металлическим и резиновым.

The coal freezing adhesion tests on typical substrates including metal, rubber and plastic substrates were carried out, the steady and separated interfacial structures between coal and substrate surfaces were investigated, and the strength characteristics of coal freezing adhesion on substrates were analyzed in depth. At the stable interface of coal freezing adhesion, the frozen coal slime area is formed in some areas, while the direct contact area as well as the void area may appear between the frozen coal and substrate surface in other areas. The surfaces of metal and rubber substrates have small water contact angle and good wettability, and the separation failure of freezing adhesion occurs at the interior of the frozen coal slime area or the frozen coal itself, thus the coal freezing adhesion strength is reflected by the freezing strength of the frozen coal slime or the frozen coal itself. The surfaces of plastic substrates have large water contact angle and poor wettability, and the separation failure occurs at the bonding interface between the frozen coal slime area and substrate surface, thus the coal freezing adhesion strength is reflected by the bonding strength. The coal freezing adhesive strength on plastic substrates is 4-12 time less than on metal and rubber substrates.
MECHANICAL PROPERTIES OF SHOTCRETE PRODUCED WITH RECYCLED AGGREGATES FROM CONSTRUCTION WASTES
Authors: КЮЛЕКЧИ Г. , ЧУЛЛУ М. , ЙИЛМАЗ А.О.
Published: October 2024

Рассмотрена возможность применения строительных отходов, измельченных до требуемых фракций, в качестве заполнителя для торкрет-бетона. Проведены прочностные испытания цилиндрических образцов и плит с полимерными волокнами. Отмечается, что с увеличением доли регенерированного заполнителя прочность на одноосное сжатие цилиндрических образцов снижается на 10 - 30 %, при этом скорость ультразвуковых волн увеличивается. Зафиксировано увеличение ударной вязкости в образцах бетона, приготовленных путем замены природного заполнителя на 50 % регенерированным заполнителем с использованием дополнительно полимерных волокон. Выявлено, что данные заполнители в торкрет-бетоне положительно взаимодействуют с полимерным волокном и могут служить альтернативой природным заполнителям с целью снижения загрязнения окружающей среды строительными отходами.

This study examines the usability of concrete wastes generated from buildings demolished for various reasons in shotcrete. The strength properties of shotcrete produced from recycled aggregates (RA), cylinder specimen and plate specimen were tested. it was observed that as the ratio of RA used instead of natural aggregate increases, the strength of the cylinder specimen decreases, ultrasonic pulse velocity increases. The toughness value has increased in the concrete samples prepared by replacing the natural aggregate with 50% or more RA. It was observed that the fiber amount and load carrying capacity were proportional in fiber reinforced plates prepared using RA. As a result, it has been observed that the interaction of RA with fiber is positive and it can be used in shotcrete. It has been revealed that RA can contribute to the reduction of environmental pollution caused by construction and wreckage wastes and can be presented as an alternative to natural aggregate.
SYSTEM-BASED IDENTIFICATION AND FORMALIZATION OF FLOW-AND DIFFUSION-TYPE MASS TRANSFER PROCESSES DURING GAS DRAINAGE IN COAL SEAMS
Authors: КУРЛЕНЯ М.В. , ЛИ К.Х. , КАЗАНЦЕВ В.Г. , ЛИ Х.У. , КУЛЯВЦЕВА С.В.
Published: October 2024

Рассмотрены механизмы массопереноса газа при создании обнажения в угольном массиве исходя из феноменологических представлений о его газоносности. Проведено разделение явления массопереноса на основные составляющие - фильтрацию и диффузию, позволившее выделить наиболее важные их черты в общем процессе движения газа.

The authors discuss the mechanisms of gas transfer in exposed coal on the strength of the phenomenology of coal gas content. The phenomenon of gas transfer is divided into flow and diffusion, and the major characteristics of these processes in the overall gas travel are revealed.
GEOMECHANICAL ASSESSMENT OF OVERLYING ROCK MASS IN BLIND OREBODY MINING AT SHEREGESH DEPOSIT
Authors: ЕРЕМЕНКО А.А. , ШТИРЦ В.А. , ПИСАРЕВ В.С.
Published: October 2024

Дана геомеханическая оценка состояния подработанной толщи пород до и после образования провала на земной поверхности при выемке слепого рудного тела на участке Подрусловый. С помощью геофизических методов проведены экспериментальные исследования по установлению динамики размеров породного целика над выработанным пространством. Гравиметрической съемкой, совмещенной с ортофотопланом, и с помощью измерительных скважин определены контуры подземного пространства и параметры провала. Методом математического моделирования оценены зоны концентраций напряжений и разрушений во вмещающем массиве в районе измерительных скважин. Разработаны профилактические мероприятия по обеспечению безопасности дальнейшего ведения горных работ на участке Подрусловый Шерегешевского месторождения.

The authors make a geomechanical assessment of undermined rock mass before and after formation of a sinkhole on ground surface during blind orebody mining on Podruslovy site. The geophysical surveys allowed finding the pillar size dynamics above the mined-out void. The borehole gravity measurements in integration with an orthophotomap made it possible to determine the boundaries of the mined-out void and the parameters of the sinkhole. The mathematical modeling estimated the zones of stress concentration and fracture in enclosing rock mass in the neighborhood of the test boreholes. The safety precautions are designed for the further mining operations on Podruslovy site at Sheregesh deposit.
SUBSTANTIATION OF THE SHAPE OF THE IMPACT ELEMENTS OF THE INERTIAL IMPACT HAMMER ROTOR
Authors: КУЛИКОВА Е.Г. , ЛЕВЕНСОН С.Я. , МОРОЗОВ А.В.
Published: October 2024

Приведен краткий аналитический обзор средств механизации, применяемых для оборки откосов карьеров. Описан инерционно-ударный метод разрушения породного массива в сравнении с послойным фрезерованием. Рассмотрено устройство для разработки откосов карьеров, рабочим оборудованием которого является молотковый ротор, реализующий инерционно-ударное разрушение. Представлена методика и результаты численных и лабораторных исследований динамики такого оборудования, позволившие определить рациональный диапазон значений угла заострения каждого молотка, а также предпочтительную частоту наносимых ими ударов, обеспечивающие минимальные энергозатраты на привод молоткового ротора и наименьшую передачу сил реакции породного массива на поддерживающие элементы ротора при сохранении производительности процесса разрушения.

A brief review of machines for pit wall scaling is given. The inertial impact technique is compared with the surface miner operation. The authors describe an inertial impact machine with a hammer rotor for pit wall scaling. The procedure and data of the numerical and lab-scale testing of the machine are presented. The tests produced the rational range of lip angles for hammer plates and the preferable impact frequency, which ensure the minimized energy intake of the rotor motor and the least counterforce of rock mass to the bearing seat of the rotor at the preserved efficiency of fracture process.
MODIFICATION OF PROPERTIES OF HIGH LUMINOUS DIAMONDS WITH LUMINOPHORE-BEARING COMPOSITIONS TOWARD ENHANCED SELECTIVITY OF X-RAY LUMINESCENCE SEPARATION
Authors: ЧАНТУРИЯ В.А. , МОРОЗОВ В.В. , ДВОЙЧЕНКОВА Г.П. , ЧАНТУРИЯ Е.Л.
Published: October 2024

Установлен механизм взаимодействия алмазоминеральной смеси с реагентом-модификато-ром, включающий стадию адгезионного закрепления люминофоров на зернах алмазов и кимберлита. Выбраны рациональные составы реагентов-модификаторов и параметры процесса, обеспечивающие эффективное закрепление люминофорсодержащих композиций на алмазах. Предложен критерий селективности воздействия реагентов-модификаторов на спектральные характеристики алмазов, применение которого обеспечивает выбор режимов извлечения слабо и аномально люминесцирующих алмазов из кимберлитов рентгенолюминесцентной сепарацией. Определены рациональные параметры варьирования состава органического коллектора, водной фазы реагента-модификатора и процесса обработки реагентом алмазокимберлитовых продуктов перед операцией рентгенолюминесцентной сепарации. Проверка выбранных составов реагента-модификатора и режимов обработки алмазосодержащих продуктов показала возможность практически полного извлечения в концентрат слабо и аномально люминесцирующих алмазов при минимальном выходе кимберлита.

The found interaction mechanism between a mineral-diamond mixture and a modifying agent includes the stage of adhesive attachment of luminophore at grains of diamonds and kimberlite. The selected compositions of modifying agents and the modification process parameters ensure efficient attachment of luminophore-bearing compositions at diamonds. The proposed criterion of selective action of modifying agent on spectral characteristics of diamonds enable choosing modes of recovery of weak and high luminous diamonds from kimberlite ore in X-ray luminescence separation. The rational variation parameters are determined for the organic collector composition, water phase of a modifying agent and for the process of modifying treatment of diamond-kimberlite products before the X-ray luminescence separation. The test of the selected compositions of modifying agents and the diamond-bearing product treatment modes proved almost complete extraction of weak and high luminescence diamonds to concentrate at minimized yield of kimberlite.
THE ASSESSMENT OF BLAST-INDUCED DUST IN AN URBAN SITE QUARRY ULKU KALAYCI SAHINOGLU
Authors: КАЛАЙДЖЫ С.У.
Published: October 2024

При проведении взрывов с помощью восьмифракционного портативного каскадного импактора измерена респирабельная аэрозольная масса (РАМ) и установлено распределение частиц пыли по массе и размеру. Приведены уравнения, описывающие рассеяния РАМ по господствующему направлению ветра для различных расстояний от места взрыва, которые для оценки угроз здоровью классифицированы по респирабельной, торакальной и вдыхаемой фракциям. Рассчитано количество образованной при взрыве пыли и выявлены тренды рассеяния РАМ: уменьшение концентрации от граммов до миллиграммов в зависимости от расстояния. Все фракции РАМ полностью оседают на расстоянии 535 м, не распространяясь за пределы карьера. Частицы РАМ классифицируются как мелкие. Выполнено сравнение количества и качества пыли, образованной при взрывных и других горнодобывающих работах.

In the study, the particulate matter (PM) measurements were carried out during several blasting operations using a portable Cascade Impactor with eight particle size fractions. The particle mass size distribution was characterized for each blast shot. The PM dispersion trend equations were established for using the measurements collected from various distances in the downwind direction and classified for different fractions (respirable, thoracic, and inhalable) to assess the health risks. As an outcome of the study, the amount of dust generated in the blasting source was specified according to the blasting theory. The PM dispersion trends were established by evaluating measurement results. It was concluded that, PM decreases from gram to milligram grades in the first 100 m distance. All of the PM fractions ultimately settles at an approximate distance of 535m and not spread out of the quarry pit. Regarding particle mass size distribution studies, blast-induced PM is classified as fine particles. The study has preceded features regarding both PM sampling during a blasting event and revealing PM fractions close to the blasting point. The context also provides a detailed comparison of the amount and characteristics of dust caused by blasting with other activities.