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Accurate solar power forecasting is essential for grid stability and efficiency. Precise generation forecasts help balance electricity supply and demand, prevent overloads, and support renewable energy integration. It enables to optimize bidding strategies and reduce penalties for imbalanced production. This study presents a solar power forecasting approach that integrates deterministic models with machine learning. The system utilizes the pvlip Python library for deterministic calculations. XGBoost-based machine ...

The modern monitoring and control systems that are currently used in most fields are based on intelligent algorithms, distributed management systems, and a new generation of communication buses. For the monitoring and control of the processes inside a greenhouse, the use of sophisticated algorithms or complex devices is not required. However, to make the activity more efficient and increase the production of a greenhouse, a proposed solution is to use data management and control system such as PLC and HMI devices,...

Route search engines are essential tools in online applications that address a wide range of user needs. However, the distribution of such applications and simple search engines presents a diverse landscape with different outputs for the same routing tasks. Although they rely on well-established algorithms, the use of different datasets often leads to different results. This paper aims to compare selected route search engines, investigate the differences in their outputs, and provide useful recommendations to user...

Given the large interest for future uses of hydrogen, special safety measures have to be implemented for avoiding potential accidents. The broad objective of the research study is represented by the development and testing of experimental models representing areas of analysis and study for the initiation and combustion of air-hydrogen mixtures, respectively by numerical modelling of these phenomena, in order to obtain appropriate input data sets for precision computer simulations of chemical explosions of air- hyd...

The special regime of nature reserve complexes allows for the protection and reproduction of local flora and fauna, local Red Data Book species, and the implementation of preventive measures against their extinction from the region. Military operations on the territory of these complexes have an irreversible impact on the further development of the region's natural complexes. The authors of the publication have studied the territory of one of the protected areas affected by military actions in the Kherson and Myko...

The current information age has led, globally, to an exponential increase regarding the availability and the use of the information, both structured and unstructured, a phenomenon known as Big Data. The term Big Data refers not only to the massive volume and variety of data itself, but also to the set of technologies that surround it, in order to collect, store, retrieve, manage, process and analyze data in order to solve complex problems in society, respectively for increasing the quality of life in all its aspec...

The significant increase in the price of energy resources leads today's society not only to a reconsideration of energy conservation policies but also to the encouragement of architects, builders, and building owners to use thermal insulation and exterior wall finishing systems. The design of thermal insulation for facades is a constructive decision, in which the layer with thermal insulation properties is fixed on the load-bearing side of the walls, with the help of adhesives and/or by mechanical means, followed ...

The purpose of law 165/2013 is the identification and inventory on topographic maps of all lands owned by the public or private domain of the state and the identification of lands that constitute the available reserve of the local land commission to complete the restitution process in nature or equivalent of the real estate abusively taken over during communism. This paper aims to present the steps in verification, validation, and correction of surface topological errors for works specific to law 165/2013 using Ar...

The paper presents the results of research on the possibility of calculating the investment potential of a particular area based on its spatial characteristics. The level of spatial unit in this research is local administrative unit (cities or municipalities), while the geographic coverage is entire area of Republic of Croatia. Regarding the method, the results could be applied internationally and are not limited to national borders. Furthermore, when deciding on investing, it is important to know the risk. This r...

We have proposed an approach to establish spatial patterns on the application of graphs theory. Traditionally, the theory of graphs is used in spatial studies to quantify the geographical position and its various aspects. Graph theory is a section of qualitative geometry, the differences of which are that it operates with dimensionless quantities, does not use the concepts of angle, and line length. It operates with spatial elements - points, lines, surfaces, volumes, and relations (connections) between them. Diff...

The purpose of the paper is to implement a method which can synthesize effective data insertion procedures for structure-independent databases based on the Tentzer model. This is a universal database model, which is based on static reference relational tables, linked in a certain way at the physical data level and the logical structure is a meta structure over it. This method makes it possible to synthesize data insertion procedures for such databases, and as result two types of inhomogeneities will be eliminated ...

In this paper, the authors conducted information analysis of activities of Nobel brothers in the Tambov Region of Russia in order to discover and reconstruct associated memorable places. An important aspect of analysis is identification and detailing of objects suitable for virtual modeling and applying 3D modeling technologies for cultural heritage objects using an open source software platform OpenSimulator. It can be argued that in modern cultural environment there are favorable conditions for the use of virtua...

For the development of traffic management systems in order to optimize it, especially traffic control at intersections, it is necessary to model traffic flows and their main characteristics. The purpose of this work is to propose a methodology for creating such models, to develop algorithms that simulate the operation of traffic lights and the movement of vehicles, to develop an application that plausibly simulates traffic flows and their control. In this work, for modeling the transport system, we proposed the pr...

Traffic congestion is an important problem in transport systems. The reason for traffic jams is the growing number of vehicles. It is objective and irreparable. Many roads do not have the ability to separate at different levels and have to cross. Most intersections use traffic lights to regulate traffic. Traffic light regulation is a non-stationary, non-linear problem under conditions of uncertainty. Most traffic lights nowadays use fixed time intervals. It is necessary that traffic lights monitor traffic flows at...

Currently, there is a serious increase in the use of various e-learning systems. The information technologies of the Learning Management Systems (LMS) platforms should use the possibilities of extracting and analyzing a variety of educational data during learning. Complete and visual learning outcomes are possible through the use of data processing techniques, Educational Data Mining (EDM) methods, and representations in various forms. Comprehensive analysis of data statistics and learning results will ensure high...

The article deals with the issues of virtual reconstruction of memorable places associated with the life of M.V. Aseev in the Tambov province (Russia). Mikhail Vasilyevich Aseev (1858-1933) was a major Russian landowner, entrepreneur, influential industrialist and philanthropist. In 3D modeling programs (SketchUp, Blender) three-dimensional models of objects (buildings, utensils, etc.) were built according to known parameters (size, material), including both existing objects and lost or partially destroyed ones. U...

This work focuses on the possibility of practical application of two approaches ? classic least square method (LSM) and Huber?s M-estimator (HME) method ? to the analysis of time series of celestial objects? measurements. Using those methods, the values of dynamic selenophysical parameters were produced from the processing of observations of Mosting A lunar crater in relation to the lunar limb. The reason for the use of the two approaches ? LSM and HME ? at observations processing is that LSM in some cases does no...

The purpose of this research is to identify the key features and main components of the successful integration of cloud technologies into the infrastructure of modern business. This paper gives a general overview of cloud technologies, including the overall stages of their development, and highlights the main advantages of integrating cloud technologies into modern business. Cloud technologies are rapidly gaining popularity around the world. Besides business, they have spread to almost every person and have become...

In this paper we propose the criteria of an information model that will allow, based on input expert data, to derive a risk assessment of unmanned aerial vehicle (UAV) flights for mountainous environmental studies. To create an information model, it is necessary to develop a mathematical model of risk assessment and informative content of the model within the framework of the problem under study. For the model input, there is a space of mountainous terrain for which we define set of criteria as a threat to safety ...

The article deals with development of virtual tours to memorable places associated with the residency and activities of famous personalities of Russia using specialized equipment (Insta360 Pro panoramic camera with "fish-eye" lenses with the viewing angle of 200° and 3DVista Virtual Tour Pro software). When creating virtual tours, it was made possible to move from one time period (present time) to earlier historic periods for a memorial place under study, which allows user to independently conduct visual analysis ...

Currently every day the need for obtaining information from satellites and quadcopters is increasing. Various services and ordinary users have a need for automated processing of received information from satellites. However, automated processing raises a number of problems: different illumination of objects, their difference in different times for example at different times of the year, soil changes, river spills and forests before and after fires etc. However, topology allows you to preserve the shape of feature ...

Currently there are many spatial structures for storing information about raster and vector maps. There are many algorithms for calculating map information, each of which is applicable to a specific industry. Now there is a problem of the lack of a universal algorithm for obtaining information about the maps, which will allow you to store its scale, time of image creation, deformation, various rotations and other topological features of objects in the images. The article sets the task of developing a method for ex...

The article presents a novel research project aimed at analysis of historical processes at memorable places of the Tambov region associated with prominent Russian personalities using original technologies for analysis, data processing and creation of virtual reconstructions of cultural and historical heritage. It includes: development of the technology for creating 3D models of cultural heritage objects for virtual reconstruction of historically significant territories; development of the technology for analysis o...

The digitalization of financial services at its current stage is characterized by high dynamics in terms of information technology used, with the expansion and complication of the relationship with consumers, which requires constant improvement of the forms and methods of management of organizations offering financial services. The emergence of phenomena such as cryptocurrencies, blockchain transactions, fintech companies, and others modify the financial services market, which is traditionally dominated by banks a...

When we carry out inference automation, the time required to complete the inference procedure is very important. The shorter the time, the more effective the procedure. If we carry out the logical inference procedure manually, then we make a choice of a sequence of steps. In this case, the person takes into account the specifics of the problem being solved. It does not act formally, but taking into account the substantial meaning of predicates. If we are going to shift the inference procedure to a computer, then w...

It is well known that the process of inference is generally non-deterministic. Therefore, to develop effective inference algorithms, the problem of managing the inference search is very relevant. The solution to this problem is complicated by the fact that the predicate calculus is unsolvable. There is no method for establishing general validity or its absence for an arbitrary formula for calculating predicates. Nevertheless, if the formula for calculating predicates is valid, then there is a procedure for establi...

The purpose of this paper is to study network simulation and modeling software and determine which tools are most suitable for designing a corporate computer network of commercial enterprise. The permanent improvement of automation tools, the integrated implementation of information processing and transmission systems in the enterprise structure require knowledge of all the advantages and disadvantages of new technologies to the smallest detail, the ability to use them as intended and, most importantly, effectivel...

The aim of this article is to create a risk analysis of selected school facilities which can be an auxiliary tool of security solutions against terrorism. Most terrorist attacks are focused on so-called soft targets - crowded places, which are not secure against violent attacks. Furthermore, attacks on school facilities abroad are frequent too. A wellprepared risk analysis is a necessary method to detect weaknesses and strengths of the security of a soft target. The university in Zlin in the Czech Republic was cho...

In today's world, shopping represents a significant part of everyone's life. The interaction between the customer and store staff has grown to be more critical than ever. To facilitate a pleasant and engaging shopping experience, we acknowledge a market gap and a real competition for developing innovative tools that can be used by both parties: the customers, which need their requirements fulfilled, and the store staff, that can use these tools to satisfy customers' needs further by targeting the correct audience....

Currently, particular attention is paid to the study of connection between geophysical phenomena and technogenic processes. At the same time, the structural parameters of the Earth?s internal structure and its core, change in natural characteristics of water basins as well as dynamics of oil and gas deposits are being investigated. This paper describes a new method for studying geophysical phenomena depending on the state of large water basins. With this purpose, we conducted a correlation analysis between astrome...

The article presents methodological approaches to the improvement of the environmental monitoring system. To increase the objectivity and to improve the visual aspects of data presentation during ecological monitoring, the authors proposed to involve remote sensing methods of the Earth and geoinformation technologies. The presented set of methods is effectively used for general, operational and background monitoring. The authors have developed an algorithm for monitoring the state of ecosystem components by remote...

This work aims at the creation of digital selenographic satellite maps (DSSM) using fractal geometry and multi-parameter harmonic analysis. The observational data for DSSM were produced by the ?Clementine?, ?Kaguya? and ?LRO? space missions. An electronic database on altimetry measurements was built and they were brought into the single reference system by robust modeling. Based on the produced data and the method of multi-parameter harmonic analysis, we developed a digital selenographic satellite map covering the...

This work focused on study fractal structures on Venus is performed on the basis of observations taken by the ?Magellan? spacecraft (NASA). The equipment of this artificial satellite allowed scanning almost the entire surface of Venus using a radar with synthesized aperture of S-band (12 cm) and a microwave radiometer as well as investigating topography by the special radar ? altimeter. The uncertainties in some data produced by ?Magellan? were filled by the information that had been collected before ? in ?Venera ...

The article considers the issues of evaluating the quality and effectiveness of an information resource with Internet access dedicated to memorable places associated with the residency of famous Russian personalities. The authors noted that one of the problems is choosing the indicators and evaluation criteria that characterize the effectiveness and efficiency of museum activities, as well as the impact of museums on society. The following main functions of museums are highlighted: collection, preservation and doc...

The article examines the issues of virtual reconstruction of memorable places associated with residency and activities of V.F. Voyno-Yasenetsky (Saint Luke the Surgeon) in the city of Tambov (Russia). Valentin Felixovich Voyno-Yasenetsky (1877-1961) ? a religious figure, archbishop, famous Russian and Soviet doctor, doctor of medical sciences and theology, winner of the Stalin prize of the first degree. In order to visualize individual objects of memorable places in Tambov, their three-dimensional virtual reconstr...

Most of the time, in assessing a situation where a leakage of combustible gas is involved, the volume of the room where the release occurs and the volume of the released gas is taken into account, thus resulting in an average concentration of the fuel gas applied to the entire volume of the room. In some cases, when the source of combustible gas is close enough to the source of initiation, or when air currents converge at the location of the source of initiation carrying amounts of combustible gas, the explosive m...

Vulnerability may be considered one of the most important components of the seismic risk, as it is the only one that human society may act upon in order to reduce the risk. As seismic vulnerability implies multiple dimensions, from the physical one to the social and economic ones, a multi-criteria decision-making approach proves to be appropriate for its assessment. The uncertainty inherently involved in the assessment process is addressed using fuzzy logic theory. This paper aims to assess the seismic vulnerabili...

Modern scientific research centers require the fast, fault-tolerant storing systems for the collecting and processing of large amounts of scientific data originating from different sources and serving a great variety of client applications all over the world. This problem has great importance in many fields of science, such as geoinformatics, climate modeling, high-energy physics, astrophysics, and others. It is reasonable to use the concept of distributed computing to preprocess, normalize and aggregate scientifi...

This paper deals with the effective usage of digital twin for managing and optimizing production in small and medium-sized companies. Simple and effective business operation is related to the necessary digitization of documents. A set of digitized information and production-related data are the basis for the creation of a digital twin. The use of a digital twin involves effective management, control and optimization of production within a set of several small and medium-sized companies with the same or technologic...

Digital ecosystems are considered socio-technical clusters of adaptive applications with different levels of context awareness, adaptability, and autonomy. Applications from a digital ecosystem must solve concrete problems but have to be computationally efficient, it will have to find a balance between the freedom of a system to self-adapt and the constraints that apply to obtain a correct functionality. A new model of context is necessary to facilitate the development of adaptive applications that evolve with the...

The Higher Education and universities have high impact for regional development and youth migration. We suggest what the migration of people with a high level of knowledge (called ?brain drain?) is detrimental for the region of emigration. High level universities attract the best students and growth the brain drain. There are close relationships between neighboring regions. Distance can be understood as a barrier of human capital growth. Geographical distance between parental home and college poses a potential bar...

The article deals with the modeling of the structure that combines virtualization technologies and an e-learning system. It also describes the logical structure of the system under study, static and dynamic models. The most popular learning management systems have a modern website interface of the e-learning course, many necessary features for providing remote e-learning for different categories of users. However, these systems do not involve the use of a virtual application software environment or shell required ...

In terms of the port development, the challenge of our days is to create ecosystems, communities of interest and practices that will do the ports smarter and more attractive. The analysis we have done shows us that, if the port administration wants more efficient traffic management it is possible to achieve only by interlinking the information and communication systems. Nowadays, the possibilities of implementing the own digital systems in order to have a realistic data monitoring and to anticipate the changes, in...

If we create intelligent automated systems, decision support systems, expert systems, and in general knowledge-based systems then the development of the inference mechanism is very important. This mechanism of inference makes it possible to carry out reasoning on the available knowledge and data, to develop recommendations and decisions, to make their justifications and explanations. In this paper, a model of inference in the form of a bipartite graph is considered. The elements of the graph correspond to clauses,...

As known, all GIS (geographic information system) coordinate systems tied to the dynamic coordinate system. In this paper, the method of determining the orientation of the dynamic coordinate system in relation to the HCRF (Hipparcos Celestial Reference Frame) system is described. The lunar occultation observations (LOO) were used for this purpose. The photoelectric method of recording an LOO that allows obtaining LOO moment with an accuracy up to 0.001s (i.e. 100 times more accurately than by visual method) is the...

The quality of spatial data plays a crucial role in environmental modelling and management, especially in local scale studies needing a detail mapping of vegetation elements in a mosaic, near-natural landscape. One of the sources of spatial data for such modelling is airborne LiDAR. Although LiDAR-based vegetation and terrain models are often considered accurate, their quality is dependent on the density of the original raw point clouds and the computation algorithm. The aim of this study was to answer a question ...

The importance of computers has become very popular, the interaction between man and machine is indispensable every day. People's need and desire to communicate with machines naturally led to the evolution of natural language processing. While progress is being made in this area, it is likely that voice interaction systems will replace most portable and digital devices such as keyboards, card readers, etc. This paper presents the main paradigms for speaker recognition, being one of the most important and needed bi...

Digital ecosystems represent a new technology capable of interconnecting heterogeneous, cross-domain platforms, able to drive innovation in different industries, enabling us to connect and operate with a wide range of actors, customers, partners, companies. Digital ecosystems can be considered as socio-technical clusters of adaptive applications with different levels of context awareness, adaptability and autonomicity. The adaptive properties of an organism are closely related to the self-organizing property and t...

For processing observations of the terrestrial pole dynamics, the regression dynamic modeling (RDM) approach was used. With the RDM software package the models describing the dynamics of the terrestrial polar coordinates were built. This approach provides accurate combined models of observations which describe to some extent causal and deterministic communication and provide forecast of characteristics. A comparison of observations and predicted values of the terrestrial polar coordinates obtained with the RDM app...

Machine learning covers a wide set of supervised and unsupervised algorithms for solving prediction, classification and anomaly detection problems. One of the areas of their applications is for customer churn prediction. To build a model for predicting the switching of customers, data scientists use different demographics, social, transactional, behavioural metrics and features. At the same time, most of the small Bulgarian companies still don?t have the needed versatile and complete customer data. They rely mainl...