• Artificial intelligence in HR processes

    pg(s) 3-5

    In the digital era, radical changes occur in all processes, under the influence of the dynamic development and application of intelligent technologies, including of artificial intelligence. The report explains the specific areas of application of artificial intelligence in human resource management processes, as well as the corresponding changes in these processes. Based on their own research, the authors indicate the specific benefits of applying artificial intelligence to HR processes.

  • Application of perfect binary lattices for signal generation in multi-channel communication systems

    pg(s) 385-387

    In multichannel data transmission systems noise-like signals, generated on the basis of derivatives of the Walsh function are used. The article examines the correlation properties of derivatives of Walsh functions with generating functions in the form of perfect binary lattices, which make it possible to provide the necessary data synchronization when receiving signals. Also, it was justified the advantage of using these signals in the development of CDMA systems in order to reduce the interference level of multiple access and to protect against unauthorized access.

  • EBL in the Industry 4.0 Era

    pg(s) 381-384

    In this work, electron beam lithography (EBL) is presented as an important technology shaping the future of semiconductor manufacturing within the Industry 4.0 initiative. The EBL contribution to the ongoing evolution of electronic devices and technologies is discussed in the context of the Industry 4.0 initiative. Semiconductor technologies are foundational to the implementation of Industry 4.0, playing a critical role in enabling advanced computing, communication, sensing, and control systems. They facilitate the creation of intelligent, interconnected, and automated systems in the Industry 4.0 initiative. In addition, we present some of our results in the field of EBL research. The focus is on investigating the electron beam resist profile depending on various process parameters. The influence of electron beam lithography parameters, such as electron energy, resist thickness, and exposure dose, on the resist sidewall shape (profile) is studied for the PMMA (polymethyl-methacrylate) positive electron beam resist. Simulation results based on measurements along the resist profile depth are presented and discussed. The aim of this work is to develop and validate models for predicting and precisely controlling resist profiles in thick PMMA layers applied in the fabrication of electronic devices.

  • Application of Blockchain for Hydrogen-Related Data from Internet of Thing Devices Equipped with Hydrogen Sensors

    pg(s) 343-346

    The Internet of Things (IoT) has seamlessly integrated more than a billion intelligent, interconnected devices into our world today, and is expected to accommodate soon hundreds of billions more such devices. This imminent proliferation heralds a profound transformation that stands to influence the electronics industry and many other sectors. Furthermore, integrating blockchain technology into IoT can impart genuine trust in the collected data. Hence, our research endeavors to harness this potential by applying it to hydrogenrelated data, which are expected to be critical in realizing a carbon-neutral society.
    Specifically, our attention is directed toward utilizing an initial blockchain system to securely store data obtained from IoT devices equipped with hydrogen sensors that can communicate through Sigfox technology.

  • Overview of Generative AI Models in the Software Industry

    pg(s) 340-342

    Generative AI models have started to transform the software industry, driving innovation, and automating tasks previously deemed complex. This overview delves into the evolution, applications, and potential of these models, highlighting their capability to create novel content, enhance software development processes, and forecast industry trends. As these models continue to mature, the software industry stands on the cusp of a redefined future where human-machine collaboration will shape ground-breaking advancements.

  • Fabrication of a sensor-based connected device for IoT applications

    pg(s) 302-305

    We report the results of measuring carbon dioxide (CO2) concentrations 140 times a day in habitable spaces using Sigfox along with temperature, humidity, and atmospheric pressure measurements. We design and fabricate a printed circuit board to integrate the sensor with an Arduino processor. Using the developed sensor, we estimate that if one adult male performs light work for 1 h in a typical living room [3.17 m (width 3.17 m) × 7.4 m (length 7.4 m) × 2.6 m (height 2.6 m) = volume 61.4 m3], the carbon dioxide CO2 concentration will increase by approximately 200 ppm. In the future, the developed sensor could be used for detailed human behavior studies in the context of CO2 concentrations.

  • Application of open ai and cognitive digital twins in Industry 5.0

    pg(s) 298-301

    Industry 5.0 is the production model based on the concept of how people and machines can work together. Modern industry is focusing on collaboration between people, robots, and intelligent machines with the help of AI. The design and implementation of solutions, based on Industry 5.0 brings a new level with the latest achievements in Artificial Intelligence and especially the Generative AI, realized on top of the Open AI.
    This paper focuses on implementing modern automation with the help of Open AI as a new concept to use AI as a SaaS, integrated with smart machines and robots, helping them to work in a human-like way. The research overviews the use cases and proposes a framework to build a smart solution based on Generative AI and cognitive robots, where integration between SaaS AI and smart machines is based on Cognitive Digital Twins. Research results also include prototypes of cognitive digital twins and its integration with intelligent machines.

  • Mathematical modeling in psychology

    pg(s) 149-151

    The development and use of mathematical models is of great importance not only in the research field, but also in the practical field. Mathematical research in psychology is based on the construction of an image of the studied object or group of objects, fixing the basic properties and relationships. The complexity lies in the heterogeneous nature of individuals, in the diversity of their behavioral characteristics, interests, and features of social behavior. Statistical models can be divided into separate groups; models that consider processes that affect individual behavior at the micro level, that is, at the level of low-level human thinking processes; meso-level models; macro-level models that consider and predict general trends in the behavior of people in a group, for example, in a crowd.

  • Simulation Modeling for Mass Customization Furniture Production: Investigating Production Volume and Machine Load in scope of Industry 4.0 standard

    pg(s) 116-122

    The subject of the conducted research and development project was the simulation modeling of solutions for a mass production system of customized furniture. Within the project, a digital twin of the custom furniture production and flexible manufacturing in the FlexSim 3D Simulation Software environment were utilized. The research and development work aimed to investigate the impact of production volume on machine load and the overall system efficiency. The scientific paper presents the methodology of project implementation, as well as the characteristics of input data and the process of producing customized furniture. The functioning logic of the simulation model is also described, along with the outcomes of the solutions for various scenarios. The paper includes the results of computer simulations for individual variants and provides potential recommendations. The project was carried out at Handcraft Sp. z o.o. company.

  • Industry 4.0 assembly line using mixed reality and data lake systems.

    pg(s) 113-115

    This article presents an Industry 4.0 assembly line that employs mixed reality (MR) and data lake systems to optimize the assembly process. MR devices such as HoloLens are used to provide operators with real-time assistance. The data generated by the MR devices is stored in a data lake system, which allows for real-time monitoring of the assembly process. This case study demonstrates the potential for MR and data lake systems to revolutionize traditional manufacturing processes and improve productivity and quality in Industry 4.0.

  • Highway monitoring using an unmanned aerial vehicle with machine vision.

    pg(s) 108-112

    An increasing number of drones with a specific purpose are being developed globally. They are used in agriculture for crop monitoring and spraying, as well as in national defence, border control, etc. Time-consuming and expensive monitoring and tracking activities can be performed more efficiently in terms of time, cost and safety. The aim of this research is to develop an unmanned aerial vehicle (UAV) platform equipped with onboard artificial intelligence capability for automated monitoring of roads and roadsides. Roadside monitoring is intended for road sections where the presence of a human supervisor is unreasonable or limited by safety standards. The UAV will be set to fly along a predetermined route without pilot intervention. By using machine vision, road sections where defects have appeared are identified and recorded for later human inspection. The solution developed as a result of this study can be adapted for industrial use, for example, maintenance monitoring of conveyors or large storage areas on the premises of factories.

  • Nature of hybrid saturation in the stages of industrial development 4/5 Technical Revolutions

    pg(s) 79-80

    The future of industrial development brings to the fore the problem of searching for approaches and ways to quickly and totally apply the principles of 4/5 industrial revolutions. The difficulties in achieving this goal come from the fact that it is influenced by many and different factors. With this report, we aim to specify the global goal of industrial development and its particularities. The need for hybrid specialists and activities, their essence and their saturation with novelties. Duration and their importance in the stages of industrial revolutions. A proposal is made to specify the resources by grouping them into two groups, material and human, and to propose approaches and ways for their effective use. Special attention is paid to the preparation and qualification of hybrid specialists to implement this process.