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Публікація Digital technologies in personnel management(UKEY Consultancy & Publishing, 2024) Makovoz, Oksana; Lysenko, SergiiThis paper examines the pivotal role of digital technologies in the transformation of personnel management within contemporary enterprises. As businesses increasingly emphasize efficiency, adaptability, and innovation, digitalization in human resources (HR) management is becoming indispensable. The integration of cutting-edge technologies such as Artificial Intelligence (AI), Big Data, Machine Learning (ML), the Internet of Things (IoT), and 5G within HR processes stands at the forefront of this transformation, enhancing productivity and fostering sustainable organizational development. The study focuses on several critical aspects of HR digital transformation including recruitment, employee development, performance evaluation, and engagement strategies. It systematically examines the impact of digital technologies on these HR functions and assesses how they contribute to creating a more effective work environment. The research underscores the potential of digital tools to not only streamline HR processes but also to enhance employee satisfaction and organizational efficiency. Empirical evidence from leading companies that have successfully integrated digital HR solutions suggests significant cost reductions and improved operational efficiency. The paper analyzes these cases to identify the benefits and challenges associated with HR digitalization. It further discusses the implications of these technologies on corporate culture and the overall workforce management. Ultimately, this article provides a comprehensive overview of the challenges and opportunities presented by HR digitalization. It offers insights into effective strategies for implementing digital transformations in HR processes, based on practical examples from industry leaders. The findings aim to assist organizations in making informed decisions about optimizing their HR operations through digital technologies, thereby enhancing their overall effectiveness and adaptability in the digital era.Документ Аналіз стану захищеності бкокчейн-проектів на ринку українських сервісів(ТЕС, 2019) Гаврилова, Алла Андріївна; Євсеєв, Сергій ПетровичПроаналізовано вплив технології блокчейн на сучасні людські процеси; виявлено перелік питань для вирішення яких блокчейн-технологія є одним з ефективних варіантів; визначено ряд можливостей, які надає технологія блокчейн для життєво важливих сфер; проаналізовано впроваджені в Україні проекти, які реалізовано на основі технології блокчейн; виявлено загрози для технології блокчейн та мету їх здійснення.Документ Improvement of power quality in grid-connected hybrid system with power monitoring and control based on internet of things approach(Національний технічний університет "Харківський політехнічний інститут", 2022) Balakishan, Padakanti ; Chidambaram, Ilanji Akilandam; Manikandan, ManiThis article proposes a new control monitoring grid connected hybrid system. The proposed system, improvement of power quality is achieved with internet of things power monitoring approach in solar photovoltaic grid system network. The novelty of the proposed work consists in presenting solar power monitoring and power control based internet of things algorithm, to generate DC voltage and maintain the constant voltage for grid connected hybrid system. Methods. The proposed algorithm which provides sophisticated and cost-effective solution for measuring the fault and as maximum power point tracking assures controlled output and supports the extraction of complete power from the photovoltaic panel. The objective of the work is to monitor and control the grid statistics for reliable and efficient delivery of power to a hybrid power generation system. Internet of things is regarded as a network comprising of electronic embedded devices, physical objects, network connections, and sensors enabling the sensing, analysis, and exchange of data. The proposed control technique strategy is validated using MATLAB/Simulink software and real time implementation to analysis the working performances. Results. The results obtained show that the power quality issue, the proposed system to overcome through monitoring of fault solar panel and improving of power quality. The obtained output from the hybrid system is fed to the grid through a 3ϕ voltage source inverter is more reliable and maintained power quality. The power obtained from the entire hybrid setup is measured by the sensor present in the internet of things-based module. In addition to that, the photovoltaic voltage is improved by a boost converter and optimum reliability is obtained with the adoption of the perturb & observe approach. The challenges in the integration of internet of things – smart grid must be overcome for the network to function efficiently. Originality. Compensation of power quality issues, grid stability and harmonic reduction in distribution network by using photovoltaic based internet of things approach is utilized along with sensor controller. Practical value. The work concerns a network comprising of electronic embedded devices, physical objects, network connections, and sensors enabling the sensing, analysis, and exchange of data. In this paper, internet of things sensors are installed in various stages of the smart grid in a hybrid photovoltaic – wind system. It tracks and manages network statistics for safe and efficient power delivery. The study is validated by the simulation results based on MATLAB/Simulink software and real time implementation.Документ Digital twin of gas reciprocating compressor unit: concept, architecture & pilot implementation(Національний технічний університет "Харківський політехнічний інститут", 2021) Prokhorenko, Andriy; Kravchenko, Serhii; Solodkii, E.Combination of information and operational technologies has led to a new way of production, to a new technological revolution, known as Industry 4.0. The Digital Twin plays a central role in this technology. The Digital Twin is a predictive maintenance tool, and allows you to simulate various options for device failures taking into account their operation modes, environmental influences and various degrees of wear. The concept of creating a digital twin of a real physical object of research is proposed - an AJAX DPS-180 internal combustion engine with a gas piston com-pressor, which is designed to pump gas from gas wells. A feature of its work is autonomous long-term operation in the field with the remoteness of the service personnel, direct enviro nmental impact and ensuring the reliability and stability of work. Therefore, monitoring the parameters of the engine with the subsequent prediction of its failures is especially important. The work on creating a digital twin for AJAX DPS-180 is being carried out in cooperation and with the support of Armco-Engineering, the operator of this equipment. Six stages of the process of creating a digital twin of a given object are shown: collection and preliminary processing of data on the technical state of a real object; early detection of malfunctions, predicting the time of failure; service planning; optimization of financial and time resources for service. Equipping a real object with various sensors made it possible to continuously collect data on its technical condition, and technologies of the industrial Internet of things, such as Big Data and the predictive statistical model, predict failure times with high accuracy. The developed and implemented schemes for equipping an object with data collection equipment and a diagram of the flow of this data in the Internet of Things are presented. The basis of the data collection system is a microcontroller, a set of a crankshaft speed sensor and thermocouples, a multiplexer and 16-bit analog-to-digital converters that convert thermo-EMF of thermocouples. At the moment, channels for measuring the speed, coolant and exhaust gas temperatures have been implemented. It is proposed to use the ThingSpeak server as a remote resource as a cloud aggregator and carrier of this data. The MATLAB mathematical package integrated into the resource is used as a data analyzer.