Using the Sigfox network, one of LPWA (Low Power Wide Area), and the Internet, we developed a temperature, humidity, pressure, and Internet of Things devices with different sensors to measure various physical data. It is much simpler to work with weather data when using OpenWeatherMap’s widely recognizable weather products. In this study, OpenWeatherMap’s meteorological data were captured every 15 minutes using are Sigfox communication, which is one of LPWA. These data were transferred to ThingSpeak using MATLAB analysis and time control of ThingSpeak.
Vol. 8 (2023), Issue 1
Table of Contents
TECHNOLOGICAL BASIS OF “INDUSTRY 4.0”
Application of biologically inspired engineering as industry 5.0 tool to create a good organisational structurepg(s) 5-8
In this article, it will present you how a bionics technique as technical solutions of Industry 5.0 from nature leads managers to creation a good organisational structure. Industry 5.0 penetrates into the very essence of human existence and the relationship to machinesand automated processes. It is not possible to consider the new industrial revolution without mentioning the more recent scientific disciplinecalled “bionics”. What is bionics? “Bionics would be a return to nature with the aim of finding solutions to technical problems. Thedevelopment of bionics is the key concepts of Industry 5.0 .
Bionics is a tool for solving problems in the conceptual and applied phases of design. The goal of bionics is to use biological inspiration in designing organisational structure that mimic the behaviour of living organisms. There are many characteristics that can identify a bionic mechanism. One of the abilities is to work independently in complex environments, can adapt to unplanned and unpredictable changes and perform multi-functional tasks. In every organization, it is most important to know who has the highest authority. Nature offers examples of organizations of other living beings that are effective and work without control, without leaders, without instructions, yet everyone in this organization knows what to do. In this article, the efficiency and working efficiency of insects such as ants in order to create a good organisational structure has been studied.
DOMINANT TECHNOLOGIES IN “INDUSTRY 4.0”
Using the method of binary logistic regression, the dependence of dichotomous variables on one or more, quantitative or qualitative independent variables is studied. In order to solve problems with binary dependent variables, binary choice model estimation methodologies, such as logistic regression (logit) and probit regression (probit), can be implemented. The logistic model is based on the logistic distribution, while the probit model is based on the normal distribution. In this paper the binary logistic regression methodology is applied for obtaining defect-free welds by electron beam welding process, based on experimental data.
Application of the mathematical model of Johnson-Kendall-Roberts in the study of the Young’s modulus of erythrocytes in patients with type 2 diabetes mellituspg(s) 12-18
The goal of the present study is to evaluate the elastic properties (Young’s modulus) of erythrocytes from healthy donors and patients with type 2 diabetes mellitus (T2DM), by using an atomic force microscope (AFM). Morphological and mechanical characteristics of red blood cells are studied in parallel by PeakForce QNM (Quantitative NanoMechanical Mapping) mode of AFM Dimensional ICON Bruker NanoScope V9 Instrument. Young’s modulus is calculated based on the mathematical model of Johnson-Kendall-Roberts by the application of the “two-point method”. AFM images of the erythrocytes from the healthy donors show that erythrocytes with a normal biconcave shape predominate. In patients with T2DM, the so-called erythrocyte polymorphism is studied. The Young’s modulus of erythrocytes, in patients with T2DM, significantly statistically increases by 27% (p≤0,001), compared to the data of healthy donors. The studied Young’s modulus by AFM can be used in clinical practice as a precise biomarker for the state of the red blood cells in T2DM.
Self-cleaning coatings of oxides transition elements (including – TiO2) on a photovoltaic covering glasspg(s) 19-20
The aim of this paper is to review the cleaning of solar photovoltaic (PV) systems and applied coatings that eliminates costly automated cleaning systems by using nano-sized TiO2 combined with various organic binders.
Determining normalized friction torque of an industrial robotic manipulator using the symbolic regression methodpg(s) 21-24
The goal of the paper is estimating the normalized friction torque of a joint in an industrial robotic manipulator. For this purpose a source data, given as a figure, is digitized using a tool WebPlotDigitizer in order to obtain numeric data. The numeric data is the used within the machine learning algorithm genetic programming (GP), which performs the symbolic regression in order to obtain the equation that regresses the dataset in question. The obtained model shows a coefficient of determination equal to 0.87, which indicates that the model in question may be used for the wide approximation of the normalized friction torque using the torque load, operating temperature and joint velocity as inputs.
SOCIETY & ”INDUSTRY 4.0”
In today’s globalized world, digital mechanisms are rapidly working through the inner layers of the economy, influencing and attracting those who shape, regulate, drive and manage the economy. The main approach here is the active application of new technologies – digital mechanisms, in the processes taking place in any sphere of the economy, including health care. Rapid advances in technology have necessitated the creation and implementation of new models for delivering quality primary care services. The COVID-19 pandemic has also highlighted the need for innovative digital solutions in health care. For these reasons, the formation of integrated models based on the application of new technologies in the context of the digital transformation of health systems is a guarantee for the delivery of quality primary health care services. The article examines the content and possibilities of digitalization of primary health care services, health technologies and areas of application, focusing on new technological opportunities, and the effectiveness of digital health services.
Public procurement has acquired new dimensions in recent decades, going beyond the elementary satisfaction of certain needs. Public procurement connect to public policies through its horizontal nature. In present study, public procurement is perceived as an important demand-side policy instrument that can effect both the speed and the direction of economic development. A key argument supporting the view of public procurement as an important policy instrument is that they accounts for about 14% of EU GDP. At the same time, governments frequently overlook procurement as a policy instrument (and demand-side tools in general). The study of public procurement as a policy instrument, given their proven market effect, merits further analysis. Hereof, this research is focused on exploring strategic procurement approaches for economic development. Actually, through public procurement, governments can contribute to the development of growth-generating economy sectors in the role as an important lead consumer by setting standards and exacting superior performance.
Digitalization of public services is a key component in the development of e-government. Citizens’ opinion, needs and overall satisfaction with the provided services are key to the successful implementation of digital transformation across the government sector. Hence, for policy makers it is highly important to develop efficient methods for analyzing public opinion. The main aim of this paper is to use unconventional apparatus to mine public opinion in the Bulgarian government sector. The proposed approach relies on the application of natural language processing and text mining techniques. The study aims at discovering the sentiments and emotions freely expressed by citizens in popular social media websites in Bulgaria. Several topics of public interest are analyzed and insights on public perception of aspects of Bulgarian e-government are derived. Furthermore, benefits and limitations of using sentiment lexicons for mining public opinion are outlined.