The paper presents a PyDigitizer application designed to extract numerical coordinates of existing curves from image format. The application is created in the Python programming language and offers the possibility of manual extraction of curve coordinates, intersection of curves with user-specified abscissa or ordinate, generation of polynomial regression equations of curves. All generated information (coordinates, intersection points, regression curves) can be exported to Microsoft Excel. Also, point coordinates of Excel curves can be loaded into PyDigitizer to obtain polynomial regression curves or intersections.

Modern business systems have the expectations and requirements of users and stakeholders for safer and better services that are constantly growing. The increasing use of information technology in business increases the threats and vulnerabilities to which information resources are exposed, which causes an increase in information risks. Many business institutions must constantly monitor their activities to establish an organized and sustainable information security management system and services. The requirements of the international standard ISO/IEC 27001 and the generally accepted COBIT management framework are important for the application of such a system. The paper presents a model of a sustainable information security management system (ISMS) at universities.

During the operation of each machine, the deformation and stress state of its supporting structure is directly related to the load. The load intensity ranges from the minimum to the maximum value and is a function of nominal force, torque, and kinematic-dynamic values of moving and executive assemblies during the machine operation process. The intensity of deformations is also a function of the shape and type of the supporting structure. However, although the supporting structure is reliable, which refers to its integrity, the production of a quality workpiece (product) does not have to be reliable. Therefore, it is important that the deformation states of the supporting structure be in the appropriate tolerance field, regardless of the intensity of the load. If the intensity of deformations is outside a certain field, it will directly affect the quality of the workpiece that is made on the subject machine. It is known that load-bearing structures can be of open and closed types, load-bearing structures of closed type are used for higher loads and larger workpiece dimensions. By installing sensors on the elements of the supporting structure with accompanying measuring chains in real-time, the deformation state of certain elements or places on the supporting structure can be monitored, based on which the reliable quality of the workpiece can be influenced.

: Several methodologies based on the international standard ISO/IEC 27001 have been developed for modelling information security management systems within higher education. This paper transformed the ISO/IEC 27001 standard into a questionnaire, which was sent digitally to about 100 universities in Bosnia and Herzegovina, and to the EU, Norway and the USA. The questions are arranged by levels, and the levels have their numerical weights, derived from individual questions in the levels themselves. Otherwise, the questions are asked with Yes or No and thus are reduced to binary variables. The rules necessary for the functioning of the system have been calculated. The fuzzy logic method represents a new approach to the problems of managing complex systems, which is very difficult to describe with a certain mathematical model, as well as in systems with a large number of inputs and outputs where there are unclear interactions. Risk assessment is a major part of the ISMS process. Traditional risk calculation models are based on the application of probability and classical set theory. Here, we have converted the risk assessment into a system rating of 5 to 10 numerically or from five to ten descriptively. We perform fuzzy optimization by finding the values of the input parameters of a complex simulated system, which results in the desired output. We use the fuzzy logic controller to execute fuzzy inference rules from the fuzzy rule database in determining congestion parameters, obtaining warning information and appropriate action. Simulating the situation of an advanced system that evaluates the protection quality of such a system with fuzzy logic, we use MATLAB. The paper combines the original Visual Basic programming language and MATLAB's Fuzzy Toolbox, to solve the complex problem of assessing compliance with the ISO/IEC 27001 standard, as one of the main standards for information systems security modelling. University information systems were used, but it is also applicable to all other information systems. The evaluation has been done for several universities and it has been proven that the system evaluates correctly, but these universities must not be publicly named. There was no such approach in the use of fuzzy logic and on such systems, and that is the originality of this work.

The paper describes the PyChart module (aimed at analysis and visual view of 2D/3D Charts), which was created with the help of free and Open Source resources, using Python as a programming language and wx.Python as a graphical user interface toolkit. The chart data is imported from a Excel/CSV file with a template structure and is drawn in the PyChart module as XY or XYZ curves similar with Excel scatter with smooth lines and markers style. The main functions of the charts are activated using the toolbar. The module is provided with zooming instruments (fit, pan, zoom in, zoom out), cubic spline curves interpolation, chart intersection with constant X, Y or Z values, visual follow of the 2D chart points to view coordinates, export of data in Windows Clipboard, Excel or Microsoft Word format and saving the chart as a image file.

Speaking of the biggest innovations for the manufacturing industry of the day, we are talking about intelligent production systems with “self-aware”, “self-contemplative and” self-sustaining “capabilities. Building such an intelligent system that is adapted and predictable provides the aforementioned capabilities in production, processes and machines. The intelligent system is able to combine various technologies and techniques for mixing statistical data, data, and artificial intelligence methods. Cigarette production is selected because it is highly serial. In such production, the use of expert systems in quality management in this area is not sufficiently developed, and with direct management, it generates great savings. Mistakes and errors are inversely proportional to productivity. This paper deals with the application of an intelligent system that uses the key principle of lean production. We need to build an adaptive system for predictive error and reduce the machine’s failure time in the cigarette industry.

The aim of the paper is establishing a link between Big Data connected with Industry 4.0. We are developing a modern economy which is based on supply chains and logistics. Within each logistics are IT solutions. Some of the world’s solutions are compiled in this paper and guidelines are set in the development of such solutions. Industry development 4.0, and in particular the development of Big data, gives us the possibility to introduce new ways of the industry. In the development of industry, maximizing production and reducing costs is extremely important. Real-time data and advanced algorithms give us the possibility to obtain real-time operational industry. Big data and their analysis are of great use in the industry because they improve the accuracy of the decision-making process. We must organize a structure that can design, manage and develop projects based on IoT and Big Data / Analytics technologies. In the industry, good sensor technology provides access to information. The paper has a focus on the managing the database with Big data in the Industry 4.0.

This paper analyzes the influence of the Doppler Effect on the length of time to establish synchronization pseudorandom sequences in radio communications systems with an expanded spectrum. Also, this paper explores the possibility of using secure wireless communication for modular robots. Wireless communication could be used for local and global communication. We analyzed a radio communication system integrator, including the two effects of the Doppler signal on the duration of establishing synchronization of the received and locally generated pseudorandom sequence. The effects of the impact of the variability of the phase were analyzed between the said sequences and correspondence of the phases of these signals with the interval of time of acquisition of received sequences. An analysis of these impacts is essential in the transmission of signal and protection of the transfer of information in the communication systems with an expanded range (telecommunications, mobile telephony, Global Navigation Satellite System GNSS, and wireless communication). Results show that wireless communication can provide a safety approach for communication with mobile robots.

Charging the bottle of high pressure air isolation devices is performed by a high-pressure compressor. The charging time is in function of the compressor capacity and the intensity of the nominal pressure of the air in the bottle. However, in accident situations this time is long and therefore high-pressure accumulators are used where the filling time of the bottle of isolation apparatus has been drastically reduced. Due to the short filling time of the bottle through the air flow, there is a thermodynamic load of bottle material that could endanger the safety of users and other participants in the area. It is therefore necessary to determine the critical parameters of the rapid charge and their intensity.

Harvesting energy from nonconventional sources in the environment has received increased attention over the past decade from researchers who study these alternative energy sources for low power applications. Although that energy harvested is small and in the order of milliwatt, it can provide enough power for wireless sensors and other low-power applications. In the environment there is a lot of wasted energy that can be converted into electricity to power the various circuits and represents a potentially cheap source of power. Energy harvesting is important because it offers an alternative power supply for electronic devices where is does not exist conventional energy sources. This technology applied in a wireless sensor network (WSN) and devices on the IoT, will eliminate the need for network-based energy and conventional batteries, will minimize maintenance costs, eliminate cables and batteries and is ecological. It has the same advantage in applications from remote locations, underwater, and other hard to reach places where conventional batteries and energy are not suitable. Energy harvesting will promote environmentally friendly technologies that will save energy, will reduce CO2 emissions, which makes this technology indispensable for achieving next-generation smart cities and sustainable society. In response to the challenges of energy, in this article we remind the basics of harvesting energy and we discuss the various applications of this technology where traditional batteries cannot be used.

Our article monitors the degree of emotional involvement of the audience in the action film in theaters by measuring the concentration of CO2. The software performs data processing obtained dispersion sensors and displays data during the film. The software will also trigger the start of the air conditioning condenser where we can get harvesting energy by installing a piezoelectric device. Useful energy can be recovered from various waste produced in cinema. The time lag between actions and changes in environmental systems determines that decisions made now will affect subsequent generations and the future of our environment.

The paper presents the use of a Moeller PLC in the automation of an artesian fountains from Baia Mare. The application is developed in Ladder Diagram and contains two modes of operation. The first mode is the Automatic Mode in which are defines certain operating times of the artesian fountains pumps. These set times make recurrence of the operation. The second mode is the Manual Mode in which each pump is operated independently. Manual mode is only active for service personal, according to the user accounts and authorization rights of its. All orders are made with a touch screen Weintek in menus that are created for application. Using the Service Menu can visualize defects occurred during the regime of operation, which is recorded.

In this article we will present a transdisciplinary approach to carbon sequestration in agricultural soils. The software provides a method proposed to measure the amount of carbon that can be captured from different soil types and different crop. The application has integrated an intuitive interface, is portable and calculate the number of green certificates as a reward for farmers financial support for environmental protection. We plan to initiate a scientific approach to environmental protection through financial incentives for agriculture fits in EU rules by taxing big polluters and rewarding those who maintain a suitable environment for the development of ecological and competitive agriculture.

The amount of data at the global level has grown exponentially. Along with this phenomena, we have a need for a new unit of measure like exabyte, zettabyte, and yottabyte as the last unit measures the amount of data. The growth of data gives a situation where the classic systems for the collection, storage, processing, and visualization of data losing the battle with a large amount, speed, and variety of data that is generated continuously. Many of data that is created by the Internet of Things, IoT (cameras, satellites, cars, GPS navigation, etc.). It is our challenge to come up with new technologies and tools for the management and exploitation of these large amounts of data. Big Data is a hot topic in recent years in IT circles. However, Big Data is recognized in the business world, and increasingly in the public administration. This paper proposes an ontology of big data analytics and examines how to enhance business intelligence through big data analytics as a service by presenting a big data analytics services-oriented architecture. This paper also discusses the interrelationship between business intelligence and big data analytics. The proposed approach in this paper might facilitate the research and development of business analytics, big data analytics, and business intelligence as well as intelligent agents.

The popularity of solar heating systems is increasing for several reasons. These systems are reliable, adaptable and pollution-free, because the renewable solar energy is used. There are many variants of solar systems in the market mainly constructed with copper pipes and absorbers with different quality of absorption surface. Taking into account the advantages and disadvantages of existing solutions, in order to increase efficiency and improve the design of solar panel, the innovative solution has been done. This new solar panel presents connection of an attractive design and the use of constructive appropriate materials with special geometric shapes. Hydraulic and thermotechnical tests that have been performed on this panel showed high hydraulic and structural stability. Further development of the solar panel will be done in the future in order to improve some noticed disadvantages.