Conveners
Poster session: Poster session I
- Desislava Petrova
- Yanitsa Boyanova
Poster session: Poster session II
- Yanitsa Boyanova
- Desislava Petrova
Poster session: Poster session III
- Desislava Petrova
- Yanitsa Boyanova
Poster session: Poster session IV
- Yanitsa Boyanova
- Desislava Petrova
The formation of the concept aims to further develop the innovative idea and transform it into a real innovative product intended for the market, as well as to bring consumer desires into a production-feasible product. Usually, a company has at least several innovative ideas for one product. The life cycle of innovations is presented, as well as the degree of novelty of products and processes...
A variety of factors have been shown to influence each measurement process, including environmental elements, the characteristics of the measured object, and the capabilities of the measuring instrument. These factors can be categorised into several overarching groups: external factors, the measurement object, the measuring instrument, and the operator. The present paper sets out a methodology...
Strict hygiene procedures are necessary to provide food safety, which could be obtained by different methods. Most known and frequently used hygiene methods are washing with water, cleaning solutions and using mechanical devices such as bristles, scrapers and materials such as cloth with paper. In food processing used materials by itself could be self-cleaning, when they have repelling...
Proposed is a method for dynamic impact protection mechanisms undergoing strong percussive effects due to detonation devices used in special military equipment destined for geostationary navigation and targeting of artillery and aviation complexes. Developed algorithm synthesis of friction damper damping fluctuations in programming environment MatLAB 7.0 for Windows. Studied the functions of...
Rolling bearings are machine components widely used in mechanical engineering. They are used under various operating and load conditions. Their widespread use makes it necessary to test them under certain conditions to study their behavior. This paper presents a methodology for testing bearings using the damped oscillation method. A specially designed test rig is used in accordance with the...
The automation of loading and unloading operations for CNC vertical milling centres has become increasingly important due to rising production costs, labour shortages, and the pursuit of higher productivity and efficiency. This paper investigates the challenges associated with automating these processes, particularly focusing on optimising workspace utilization, reducing auxiliary times, and...
Cam mechanism are crucial for driving different types of drive trains. From simple mechanisms to metal cutting machines, combustion engines, filling machines and many other. Because many old machines do exist, and use such mechanism, a algorithm is proposed so that the position function can be obtain from a existing profile. Also a optimization is carried out so that the kinematics of the...
The use of lake reeds for green energy is becoming an important component. It is important to determine the extent of reed areas, which in the future provides a forecast of the potential biomass volume and calculation of the carbon footprint. There are currently no significant results of research on the availability of reeds in Latvia. The main goal of this study is to develop a method for...
Abstract: This article is part of a series describing the capability-based defense planning model as the main methodology for conducting Strategic Defense Reviews in the Republic of Bulgaria. The proposed prototype follows a sequence of abstract steps for conducting Strategic Defense Reviews to achieve the goal of ensuring adequate defense capabilities for the armed forces. The article focuses...
The integration of artificial intelligence into software development is increasingly influencing how security-related decisions are made during the design and implementation of secure systems. While AI tools can support threat detection, risk analysis, and vulnerability identification, their effectiveness depends on how development teams interpret and integrate AI-generated insights into their...
In the context of the internationalisation of higher education and the growing role of English as a global language of science and technology, the development of both communicative and research skills among engineering students has become increasingly important. This study investigates the effectiveness of a multimodal approach to teaching English as a factor in improving engineering studentsโ...
The paper examines the relationship between energy cost pressure, agricultural input prices and farm economic resilience in Bulgaria compared with the EU-27 average. The empirical design combines three groups of official data sources: Eurostat non-household electricity prices, Eurostat agricultural input price indices, and Farm Sustainability Data Network (FSDN) standard results for selected...
An important factor in increasing productivity and optimal use of resources in mechanical engineering production is the effective organization of material flows. Under the conditions of the modern production systems, alternative technological processes for machining parts often exist, which creates opportunities for more flexible production planning, complicating, at the same time, material...
In clean and fine turning on CNC machine tools, it is advisable to carry out active control by measuring the parts after their processing. With this type of active control, accuracy is highly dependent on dimensional dispersion caused by random factors. A solution for reducing these errors and increasing the accuracy of active control is the use of adaptive control of roughing accuracy.
One of the main indicators of the manufactured parts quality and the efficiency of the technological processes in mechanical engineering is machining accuracy. During the machining process, errors of various nature occur, which can lead to deviations from the specified dimensions and geometric parameters. This requires the implementation of modern approaches to controlling and managing the...
This research focuses on the role of artificial intelligence in educational technologies in higher education. The modern vision and needs of current and future professions set new requirements for the training of future specialists related to the use and application of high-tech training resources. The relevance of the issues under consideration stems from the need to adapt the training to the...
The Pitot tube is a classical and widely used instrument for measuring fluid flow velocity, with applications across various engineering fields, including marine engineering systems and modern mechatronic applications. This paper presents a numerical simulation of a Pitot tube performed using ANSYS Fluent, aiming to demonstrate its operating principle, measurement accuracy, and significance as...
The text analyzes the fundamental link between economic stability and national security, focusing on the 2025 U.S. National Security Strategy. This strategy reaffirms the view that the economy is the foundation of power and that military superiority is impossible without a strong industrial base, technological innovation, and energy independence. Furthermore, it posits that economic...
Abstract: This paper is the second in a series that describes the Model for risk management of Critical Infrastructure (CI) of the Republic of Bulgaria. The first one focuses on activities of developing rules and proposing a mathematical apparatus for identifying critical infrastructures and their assets. The present focuses on the activities for improving protection of critical...
Abstract: Preservation and provision of access to documentary cultural heritage constitute a significant challenge in the context of contemporary digital transformation. The development of information technologies creates new opportunities for the digitization, preservation, and dissemination of archival and library resources, as well as for expanding access to knowledge. University libraries...
The research paper focuses on the important role of Small and Medium Sized Enterprises (SMEs) in the development of the European defence ecosystem with emphasis on quantum technologies, incl. with dual use. The research is based on interdisciplinary approach. In addition to the methods of analysis and synthesis of primary and secondary sources of information, generalization, inductive and...
Increased competition in the international wood export markets, is vitally important for European wood processing companies. To ensure further competitive advantages digitalisation of wood processes is one of the contemporary strategies to ensure higher efficiency (reducing losses of useful material and improving quality), but also increasing productivity in order to reduce manual labour costs...
In the context of digitalization of production and the development of the Industry 4.0 concept, the optimization of production processes and the effective organization of production areas are gaining increasing importance. An essential task in the design of production systems is the optimal placement of the technological equipment in order to minimize the material flows, reduce transport...
In the paper, machine learning knowledge is transferred to wood processing industry. ะ universal Machine Learning system has great potential for the scalability in wood processing industry. In order to increase the yield of high-quality material and reduce the influence of subjective factors in the assessment of the quality of the wood boards, a machine learning model was trained as part of...
In the 21st century, laser marking is increasingly used. Very good results are achieved when working on resistant materials such as plexiglass or chromium-nickel samples, where good color marking is also achieved.
Products that are made of or coated with chromium-nickel are used in the manufacture of a number of parts and products. This is especially true for products that are produced in the...
In recent years, low-voltage networks have become particularly attractive. More and more small-capacity solar power plants are joining them. The motivation that owners receive is a combination of the affordable price of the systems, a simplified procedure for obtaining a design and construction permit. The creation of energy independence is also not in last place.
Despite their local impact,...
This article presents an in-depth study of underwater exothermic cutting technology with exothermic electrodes, applied to the hull steel of the Bulgarian research vessel RSV 421 "St. St. Cyril and Methodius". Having identified the steel type in previous studies as low-carbon Grade A, the focus here shifts to the optimization of underwater repair procedures. The thermodynamic fundamentals of...
Modern requirements in shipbuilding and marine engineering necessitate continuous improvement of propulsion systems, with particular emphasis on waterjet propulsors due to their high maneuverability and efficiency at elevated speeds. This study presents a detailed analysis of hydrodynamic reaction forces generated during the interaction of a high-speed water jet with deflector surfaces of...
This paper presents a conceptual review of the evolution of military camouflage systems from conventional textile-based concealment to advanced metamaterial-enabled multispectral protection. The study analyzes the current limitations of traditional camouflage materials in the face of modern detection technologies, including infrared imaging, radar systems, LIDAR platforms, and AI-assisted...
Abstract โ A subject of this article is to model a vibroisolation systems for a sterile air compressor. The goal is to investigate the main parameters involved in analyzing the system, which consists of mounting structure, modeled as absolutely rigid body, the compressor itself, modeled by inertial mass, with disturbance forces in operational conditions. In the course of the study several...
This paper presents a method for evaluating the machining accuracy and process stability of the gear cutting and gear hobbing of cylindrical gears. Through statistical analysis and the use of mathematical evaluation criteria, the stability of the machining process has been established. This makes it possible to determine the optimal setup parameters and predict the maximum number of parts that...
This paper discusses a method for improving the kinematic accuracy of gear trains through precise analysis and decomposition of the errors of individual gears during assembly. Through mathematical modeling and analysis of collected data, the optimal meshing of the gear wheels is determined, allowing for the minimization of the total error.
The choice of fixtures, the type of clamping, and the clamping force are key criteria for minimizing adverse effects that lead to a deterioration in the geometric characteristics of the machined surfaces. This article examines the accuracy of cylindrical and conical surfaces under different clamping schemesโin a chuck (three-jaw self-centering) and between a chuck and a center.
The accuracy...
The article is devoted to the extremely topical issue of fulfilling the environmental, sanitary and health requirements and ensuring radiation safety in the creation and operation of radiation hazardous facilities and the protection of the population, including their personnel. It examines some of the modern threats and dangers of radiation pollution; the role and importance of sources of...
Abstract: Forensic photography is performed in uncontrolled environments where photographic and other devices are exposed to both direct impacts (blood and body fluids, dust/soot, chemical residues, water, mechanical impacts) and indirect risks, turning the equipment into a reservoir and a means of transferring traces and contamination between objects, different areas and subsequent...
In recent years, in the context of digital transformation, the concept of "digital maturity" has been increasingly used. The purpose of this study is to determine the organizational level of digital maturity of organizations in the service sector in the Republic of Bulgaria, in the context of the integration of technologies based on artificial intelligence. The focus is on identifying the main...
The report examines the transformation of operational art under the influence of cognitive warfare. The main focus is on the strategic asymmetry between the leading global military doctrines. Through a systematic analysis, differences in approaches are revealed โ NATOโs reactive-defensive model aimed at societal resilience; the USโs proactive model striving for cognitive dominance; Russiaโs...
This report presents an integrated conceptual model for risk management, adapted to the specifics of hybrid threats and cognitive warfare. In the conditions of a changed strategic environment, where the objects of attack are not only physical assets, but also human consciousness and social cohesion, traditional risk assessment models prove to be insufficient. The report analyzes the essence of...
Air pollution is the presence of harmful substances in the atmosphere that can adversely impact human health and other living organisms. In urban environments such as Berlin, air pollutionโparticularly from traffic emissions and industrial activitiesโcontinues to be a significant concern. The Air Quality Index (AQI) is commonly used to represent the level of air quality in a given area, based...
The rapid integration of Intelligent Transport Systems (ITS) into urban and interurban mobility has significantly improved efficiency, safety, and automation in transport operations. Nevertheless, the extensive connectivity enabled by vehicle-to-everything (V2X) communications, Internet of Things (IoT) devices, and cloud services has also increased exposure to cyber threats. The primary...
The growing use of AI in software security is reshaping how development teams evaluate vulnerabilities and prioritize security decisions during the development process. Increasingly, teams rely on AI-supported systems that generate recommendations for risk assessment and threat detection. However, the extent to which these tools influence collective decision-making within secure software...
Milling is one of the most common methods for processing flat surfaces, providing satisfactory accuracy and low surface roughness at high production rates. This paper presents the results of a study on the surface roughness of machined parts made of GJL-250 gray cast iron and S235JR carbon structural steel, obtained by milling with a single-tooth milling cutter with Al2O3/TiC mixed ceramic...
This study examines the role of eco-leadership and Green Human Resource Management (Green HRM) as key drivers for strengthening environmental security and the resilience of critical infrastructure. In the context of increasing environmental risks, climate challenges, and the growing need for the protection of natural resources, organizations responsible for managing critical infrastructure...
Effective diagnostics of WEB services distribution is an important prerequisite for adequate traffic load service planning in information and communication infrastructures in serving corporate clients. Network administrators play a key role in specification and transmission medium metrics analysis in web traffic management. The paper proposes a Machine Learning approach for WEB traffic streams...
This study presents a comprehensive numerical investigation of conjugate heat transfer (CHT) between a fluid and a solid domain, a phenomenon of critical importance for the design and optimization of engineering systems such as heat exchangers, electronic cooling devices, and industrial reactors. The simulations were carried out using ANSYS Fluent, enabling detailed analysis of heat transfer...
Nowadays, computer networks generate large and complex data sets, which leads to problems related to the detection of new, modified threats. Classic Intrusion Detection Systems โ IDS, based on static rules and signatures, have difficulty identifying masked - as legitimate or previously unseen malicious activities. The challenge they face is reverse shell attacks, in which the attacker...
This study presents a hybrid approach that integrates probabilistic modeling and Failure Mode and Effects Analysis (FMEA) for the analysis and optimization of reliability and fault tolerance in AI-driven integrated security systems. With the increasing complexity of modern intelligent systemsโincorporating video analytics, Internet of Digital Things (IoDT) sensors, autonomous drones, and...
The Bulgarian scientific research vessel RSV 421 "St. St. Cyril and Methodius" conducts regular maritime expeditions from Bulgaria to Antarctica. During these missions, the ship navigates through diverse global waters, encountering a wide range of seawater temperatures and salinity levels, extreme weather conditions, and severe environmental challenges. Ensuring the structural integrity of the...
Considering that artificial intelligence (AI) is the computer technology that has seen the most explosive growth in recent years, we try to explore its application in the context of the concept of sustainable development, and our focus is on the possibilities of artificial intelligence to stimulate the development of renewable energy sources. This is dictated by the interconnectedness and...
In modern ship power plants with electric propulsion motors, the main ship power system consists of powerful multi-cylinder diesel generators. The engine and the generator are mounted on a common frame, which is attached to the ship's hull through resilient (elastic) elements.
Minimizing the vibrations induced in the ship's hull is achieved by refining the mechano-mathematical models. In...
Man-in-the-Middle (MitM) attacks remain a significant threat to local area networks, particularly when implemented through Address Resolution Protocol (ARP) spoofing. Although infrastructure-level protection mechanisms such as Dynamic ARP Inspection (DAI) are effective against conventional ARP poisoning attempts, their detection capability is limited in low-rate and insider-like scenarios,...
Physical security is an essential yet often underestimated aspect of an overall cybersecurity strategy. While most efforts focus on protecting software and network infrastructure, the physical vulnerabilities of cyber systems also pose a significant threat. This study analyzes the interconnection between physical security and cybersecurity by examining both the risk factors leading to the...
The article presents the application of smart manufacturing and the digitalization of business processes in mechanical engineering enterprises in the Northeastern region of Bulgaria. The aim is to investigate the impact of Industry 4.0 technologies on energy efficiency, productivity, and return on investment. The applied methodology uses energy indicators such as energy intensity, energy per...
This paper presents an empirical study of incident response practices related to personal data breaches in Bulgarian organizations. The study examines how organizations detect, assess, and manage incidents involving personal data in accordance with personal data protection requirements. The research is based on data collected through a survey conducted among organizations from different...
Composites based on thermosetting polymers (epoxy, polyester, and vinyl ester resins) with incorporated carbon particles have been developed. Multi-walled carbon nanotubes (MWNTs) and amorphous carbon, a waste by-product from the production of โgreenโ hydrogen, were used.
The influence of different concentrations (0.02 wt%, 0.06 wt%, 0.1 wt%, 1 wt%, and 2 wt%) of both types of particles on...
The natural frequencies affect ride comfort and stability of vehicle. This paper presents the results of the natural frequencies of a quarter car MacPherson suspension system, obtained with different tire pressures and by using bushings made from different materials. The natural frequencies and mode shapes were obtained from finite element analysis (FEA) and the natural frequencies were also...
The article focuses on conducting a benchmarking study to identify and analyze good practices for integrating artificial intelligence into strategic management at the company level. By comparing and evaluating effective models, tools, and approaches, key success factors, benefits, and risks in implementing AI in strategic planning processes, making informed management decisions, and achieving...
The increasing complexity of modern manufacturing systems requires companies to design and develop a contemporary framework with high degree of accuracy and speed. The demand for precise and fast equipment in wood processing and other industries is topical within modern progress of Machine Learning, more powerful computing systems and approaches. To meet this challenge and to be in pace with...
Digital technologies create conveniences for work and interaction of the human factors in an online
environment, but at the same time, problems arise when using them. The integration of digital technologies into
the business practice of high-tech enterprises is a natural process through which the human factors communicates
and creates business content. Since a large part of communication...
The industrial sector is focused on efficiency of an industrial vision through automation as one of the most popular solutions as in recent decades. The main bottleneck of the process is image processing due to high speed and precision. Graphic processing units (GPUs) and Field-Programmable Gate Array (FPGAs) have been proposed for real-time detection, where tasks are now performed repeatedly...
Additive manufacturing has undergone significant development over the past decade and is becoming increasingly prevalent in manufacturing. Additive printing technologies facilitate the expeditious and straightforward fabrication of prototypes and components for a range of applications, which can be utilised across diverse industrial sectors. A substantial corpus of studies has been amassed in...
The present study examines the surface modification of tool steel 1.2343 by ion nitriding. Prior to the chemical-thermal treatment process, the specimens of the investigated steel were subjected to quenching and tempering. The heat treatment included vacuum quenching and triple tempering, achieving structural stabilization before the diffusion saturation process.
Ion nitriding was carried out...
Results are presented for the influence of the type of chemical-thermal treatment in single-component surface enrichment on the wear resistance of the formed diffusion layers on samples of chromium tool steels (1รท5%Cr). Wear resistance is defined as mass loss per unit area (g/cm2 ) after a distance of 1รท5 km. The loading in the wear process is carried out by a lever system with a load of 3รท100...
At present, data on the influence of boroaluminizing on the mechanical properties of steels are scarce and contradictory. This publication presents a mathematical model for determining the strength characteristics of medium-alloyed quality steel and their influence on the technological characteristics of the boroaluminizing process (saturation times, quenching and tempering temperatures)....
Quantum machine learning (QML) has recently emerged as a promising research direction at the intersection of artificial intelligence, quantum computing, and cybersecurity. Among its potential applications, intrusion detection remains particularly relevant due to the growing complexity of cyber threats and the increasing need for adaptive and efficient detection mechanisms. This paper explores...
This paper presents the development of an integrated simulation model for maritime cybersecurity training, based on a comparative analysis of existing training platforms. For the purposes of the study, leading international and industrial solutions were evaluated, including Cyber-SHIP Lab, Naval Cyber Range, CDeX Maritime Cybersecurity Scenario, SeaSAFER, K-Sim, and NavSim. Through the applied...
Modern enterprise infrastructures combine directory services, server operating systems, and database platforms, which significantly expand the attack surface and complicate security assessment. Manual reviews are often time-consuming, inconsistent, and difficult to reproduce across different environments. This paper presents an academic framework for automated vulnerability assessment in...
This scientific article proposes a modern mathematical algorithm designed to improve workflow and enhance the efficiency of reliability assessment in computer networks. The primary objective of the research is to develop an advanced method for predicting and analyzing potential failures in complex computer environments. The proposed algorithm incorporates contemporary modeling approaches,...
In the contemporary digital environment, electronic evidence has become a fundamental element in both criminal and civil proceedings. The accelerated evolution and pervasive integration of information technologies into routine activities, communication, and business processes has led to a substantial augmentation in the volume and significance of digital data as potential evidence. This...
The publication traces the influence of the type of iron powder and the sintering process in the presence of a liquid phase on the tensile strength of powder metallurgical samples from the Fe-C-Cu system. Powder metallurgical samples of three types of iron powders โ ASC 100.29, SC 100.26 and NC 100.2 โ were studied. The iron matrix is alloyed with 2.5%Cu and 0.2รท0.8%C. After sintering, their...
The introduction of models for analyzing the impact of script-based algorithms in web applications on overall CPU load is becoming increasingly important in modern computing environments. However, there is a limited availability of specialized analytical tools and models addressing this problem.
In response to this gap, a model has been developed to evaluate CPU load based on key scalar...
Corruption in public procurement, financial transactions, and administrative processes presents substantial threats to national and international security, compromising integrity in defense logistics, resource distribution, and governance frameworks. Artificial intelligence, especially machine learning models for finding unusual patterns, spotting fraud, and predicting risk, has become a...
This paper presents the design and experimental evaluation of Generic Routing Encapsulation over Internet Protocol Security tunnels in dynamic routing networks. The study is motivated by the need to provide secure inter site connectivity while preserving support for dynamic route exchange between remote network segments. A laboratory topology is developed to examine the behavior of the...
The increasing digitalization of the judicial sector requires the implementation of complex information systems that ensure high levels of information security, especially when processing sensitive and classified data. However, the application of security requirements in such environments is often fragmented due to the complexity of regulatory frameworks and the lack of structured approaches...
This paper presents a structured analysis of existing software and organizational solutions that support innovation management in industrial enterprises within the context of Industry 4.0. The increasing digitalization of manufacturing systems, integration of cyber-physical technologies, and data-driven decision-making processes have significantly transformed how innovation activities are...
This paper proposes a comprehensive methodological framework for integrating intelligent technologies into engineering innovation management processes. In the context of rapid digital transformation, organizations increasingly rely on artificial intelligence (AI), machine learning (ML), and data-driven decision-making to enhance innovation performance. The study combines theoretical analysis...
The aim of the paper is to analyze the impact of AI implementation on logistics performance and to develop an action framework that can be used to measure the improved efficiency achieved with AI in an environment of scarce available data. This paper examines the use of AI in the logistics sector in Bulgaria. The study assesses revenue distribution and market concentration to determine when...
The Bulgarian Black Sea Coast is characterised by specific biological diversity and is an extremely important region for the conservation of biological diversity on the Balkan Peninsula and Europe. Wild medicinal and aromatic plants represent both a vital ecological asset and a valuable Bulgarian export. Despite an established regulatory framework, the unregulated overharvesting of medicinal...
Pollution of continental water resources has emerged as one of the most significant environmental problems in recent decades. This affects both the natural ecosystems inhabiting water areas and the quality of life of the population. The unregulated disposal of large amounts of plastic, construction and household waste into rivers, lakes and adjacent territories leads to significant...
With the development of information technology, the process of project management in different areas of the economy has changed. Very often, new approaches use combinations of familiar, established project management methods to respond to .
This article examines an approach to project management using a combination of the PERT method and evolutionary algorithms. The goal is to improve the...
Companies operate in the conditions of environmental factors, some of which do not directly affect their activities, but through indirect influence. The subject of the development are the macro factors of the companies' environment, and the object is the business in the Veliko Tarnovo region. The main goal is to present the reactions to changes in the macro factors of the environment and how...
The current paper explores the transformative role of the digital tools and Artificial Intelligence in the field of mental healthcare. As global demand for psychological support outpaces the availability of human specialists, digital and AI-driven solutions offer a scalable bridge to fill this gap. The study examines the transition from traditional diagnostic methods to data-driven, predictive...
Radionuclides affect human health and living organisms through external and internal exposure. This causes acute effects at high doses and an increased risk of cancer and genetic damage at long-term low-level exposure. Radionuclides generally affect health, toxicology and public health through chemical and radiation effects - internal uptake (ingestion/inhalation) of specific isotopes such as...
Radionuclides are mainly bound within soil layers and exist in the Earthโs crust as mineral-like substances that are resistant to heat and electrical ะฒะพะทะดะตะนััะฒะธั and can split into thin layers, making them difficult to wash out easily. Therefore, in order to extract radionuclides from radiation-contaminated soil layers and reduce their specific activity, it is necessary to separate them using...
Orthophotogrammetry is a specialized branch of photogrammetry aimed at creating accurate, scaled orthophotographs (or orthomosaics). This paper investigates the theoretical and practical aspects of computer vision algorithms in the creation of three-dimensional models of objects and terrains in order to generate reliable reconstruction. The article discusses the capabilities of the WebODM (Web...
This paper systematises the destructive reference characteristics of ion-nitrided and carbonitrided layers on BH11 (4CrSMoVSi, VS4659) and D2 (Cr12MoV) tool steels produced in glow-discharge plasma at 550 ยฐC and โผ400 Pa, and investigates their suitability for calibrating and validating non-destructive testing (NDT) methods. Two principal NDT techniques are examinedโeddy current testing (ECT)...
The article provides a comprehensive analysis of the transformation of human capital development in Ukraine during wartime and the post-war period, with a particular focus on the application of artificial intelligence (AI) technologies. It is substantiated that wartime challenges, including demographic losses, forced migration, declining employment, and disruption of educational systems,...
The subject of the article is the theoretical and methodological aspects of business project management as a proven effective tool used by companies from the industrial sector to respond to the dynamic internal environment. The report analyzes the principles and approaches to business project management and the construction of effective project teams, combining management knowledge and...
Critical infrastructure has become increasingly vulnerable to complex cyber threats characteristic of the contemporary hybrid security environment. The convergence of digital attacks, information operations, and potential physical disruptions necessitates integrated risk assessment approaches that capture both technological and operational dimensions of infrastructure systems. This study...
The report presents an analysis of leading international cybersecurity standards and frameworks to assess their applicability in building a cyber-incident response model at the political, strategic, operational and tactical levels. The emphasis is on examining the vertical and horizontal connections between the individual levels and standards, as well as on identifying the opportunities and...
The article presents an original generalized net model (GN-model) for using artificial intelligence in assessing the protection of the population and infrastructure in disasters. It includes assessments of basic components such as population, infrastructure, personnel and procedures using intuitionistic fuzzy logic. A simulation of the GN-model was conducted in the GN IDE simulation...
Abstractโ This study examines the exploitation of water resources in Bulgaria within the framework of water security, with particular emphasis on the structural transformation of water supply systems and the increasing strategic role of groundwater. The analysis is based on River Basin Management Plans (2022โ2027), national statistical data, and a comprehensive assessment of water abstraction...
Abstract: The addition of an anomegator to the oil directly affects the change in the tribotechnical parameters of the friction pair by changing its operating environment.
The article presents a multivariate study of the influence of the addition of an anomega to the lubricating medium on the change in the tribotechnical parameters of a friction pair. The main objective is to evaluate the...
A review of modern methods for organizing and conducting rescue operations in water bodies is made. The methods are improved using artificial intelligence (AI) to support rescue divers in underwater operations for searching and rescuing victims in accidents. Modern technologies for processing data obtained from sonar systems, video streams and sensor information are considered. Machine...
The rapid advancement of Artificial Intelligence (AI) is reshaping military operations and communication systems, introducing both opportunities and challenges. This article explores the intersection of AI and military communications, emphasising current trends, requirements, and potential applications. It discusses how communication disruptions can impact military operations and suggests...
This report focuses on mechanisms to ensure environmental security and in particular protection of the marine environment from pollution, including the impact from incidents, disasters, accidents and other emergency situations. The presented analysis at the complex of measures and activities implemented in Bulgaria for prevention and response to pollution of the marine environment reveals a...
This paper presents the design and scenario development of a simulation platform for maritime cybersecurity training. In response to the increasing digitalization of shipboard systems and the growing exposure to cyber threats, the platform provides a web-based environment that simulates a ship bridge and enables hands-on training in cyber incident response. The system supports real-time...
This study presents a methodology for analyzing vehicle braking deceleration and the efficiency of braking systems. Using measured skid marks and the physical characteristics of the road surface, the actual deceleration and the efficiency coefficient are determined. MATLAB-based interactive and 3D visualizations enable dynamic evaluation across different speeds and braking distances. The...
This paper presents an approach to improving the ground operational picture by applying direct georeferencing techniques from an unmanned aerial system (UAS). The study addresses the growing need for rapid and accurate target localization within time-critical operational environments, where minimizing latency and maximizing spatial accuracy are essential.
The proposed methodology leverages...
This study examines the integration of Bulgarian national identity into sustainable fashion design through the application of digital technologies. The research focuses on the use of CAD systems and digital textile design tools for the transformation and adaptation of traditional Bulgarian motifs into contemporary garment design. Emphasis is placed on preserving the cultural, symbolic, and...
In the face of digital renewal, data is one of the most valuable stockpiles for any organization. They not only facilitate operational activity, but also play an important role in strategic decision-making. This data can include everything from clinical trials and client databases, to reports and internal communications. Through data processing, companies can identify weak links in their...
The paper presents a orginal model of the e-learning process, developed using the Generalized Net (GN) apparatus. The main stages in digital education are modeled - from access to learning resources in electronic platforms to ongoing control and final assessment. Through the GN-specific transitions, the logical connections and information flows between learners, teachers and learning...
Enterprises operate within an environment that directly influences their activities. Different industries react specifically to individual elements of this environment. The main purpose of the research is to demonstrate the company's reactions to the stimuli from the environment, which has a direct impact on the activity. The subject of the research are the microelements of the marketing...
This study examines the process of digital transformation of the traditional motif of the Bulgarian oil-bearing rose (Rosa damascena) within the context of sustainable fashion design through the use of specialized embroidery software. The research explores the adaptation of natural forms into a digital environment by combining artistic stylization and technological implementation. A...
The modern New World โ the World of the 21st century โ has turned out to be a world existing in constant crises and conflicts of the most diverse nature and scope both at the local, regional and global levels. Crisis situations are sometimes caused by man, but sometimes they are of a natural or mixed nature. In this context, serious issues facing every government and community โ be they local,...
This study investigates the development of secure cross-border innovation clusters within the context of Industry 4.0, focusing on the BurgasโEdirne region. The main objective is to develop and empirically demonstrate a conceptual and analytical model for evaluating the interrelationship between technological development, cybersecurity, trust, and entrepreneurial activity within innovation...
This review examines hybrid technologies combining dielectric barrier discharge (DBD) plasma treatment and sol-gel nanocomposite coatings to improve the performance of military textiles. The paper examines cotton/polyester (CO/PES) blended fabrics that exhibit good physicomechanical and comfort properties but limited thermal resistance. The reviewed literature identifies DBD plasma as an...
Heat-treated steels (hardened with subsequent high-temperature tempering) are widely used in the manufacture of critical parts subjected to elastic and impact loads. The publication examines their machinability when machining on CNC lathes with robotic feed. The average roughness of the machined surfaces โ Ra โ was used as a criterion for their machinability. Based on the experimental results,...
The paper presents an approach to detection, classification
and decision making for disaster relief scenarios, based on imaging
data, pose estimations, depth perception and scene understanding, utilizing AI while performing on low power hardware.
This paper proposes a mathematical framework for modeling the safe distance between a vehicle and a pedestrian, addressing a critical aspect of road safety and collision avoidance. The model is derived from kinematic principles and incorporates key parameters, including vehicle speed, pedestrian speed, and pedestrian displacement prior to potential conflict.A closed-form analytical expression...
This report evaluates the radiogenic heat production (A) within the continental crust of Bulgaria, emphasizing the dominant role of the Rhodope Massif. The generation of thermal energy through the radioactive decay of uranium (U), thorium (Th), and potassium (K) is a primary component of the Earth's heat flow.
The analysis first establishes a baseline for Bulgaria by assessing the average...
This study examines the digitization of ESG reporting through the lens of its digital maturity. The Digital ESG Reporting Maturity Index (DERMI) was developed for the quantitative assessment of the level of digitalization of ESG reporting. It is based on a set of measurable indicators combined into an index that covers five dimensions: format and machine readability, structuring according to...
Bulgaria annually consumes about 50 Terawatt hours (TWh) of electricity. Production varies within the same limits. These are the values over the past 5 years. 30-40 years ago, production and consumption were significantly higher, for which there is a historical explanation. In the last century, production and export of electricity were significantly higher, with production significantly...