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These days, systems engineers use advanced software tools and standardized modeling methods to break down complex systems into simpler, less complicated parts that are easier to understand. This includes CATIA Magic that allows for systems architecture, as well as more in‐depth Systems Modeling Language (SysML) modeling and simulation. The goal of this paper is to explore the capabilities of SysML to model and control hardware in the loop (HIL). The model of a weapon system was created using several different diagrams commonly used in SysML. When these diagrams are used together with the CATIA Magic simulation toolkit (Magic Model Analyzer), they can be made executable and used for simulation purposes. While CATIA Magic was selected to provide a digital model of the weapon system, a LEGO Mindstorms EV3 development kit was selected to create a mockup of a physical system. The CATIA Magic model reacts to the inputs received from the LEGO sensors and sends control signals to motors built into the LEGO model. In general, the integration between the LEGO Mindstorms and CATIA Magic can be done successfully, however, this study revealed certain limitations pertinent to the current capability of CATIA Magic to make connections between the SysML model and LEGO hardware. While these limitations did not allow for a full integration and in‐depth testing of the created dynamic model, as intended, the paper presents the current state of the project discussing what is involved in integrating CATIA Magic and LEGO Mindstorms kits and what functionality could be achieved by doing this. The paper pursues both the educational aspect that allows a deeper exploration of the modern system modeling tools, and the practical aspect, showing how a SysML model can be integrated with HIL to provide opportunities to better understand the design space at earlier stages of system development. [ABSTRACT FROM AUTHOR]

It is noted that regional industrial complexes are in poor condition nowadays and require the renewal and modernization of fixed assets, efficient use of all available production resources and integrated use of the production and management potential of the enterprises. The main approaches to formation of the potential of industrial enterprise are considered and allocated, which are related to its functional structure and ensuring the creation and organization of a system of resources and capabilities that would enable to achieve a variety of the enterprise’s goals as a result of their interaction. Approaches that are unambiguous in the allocation of resource and target aspects in determination of potential, depending on historical stages in management, are considered. However, other factors in the interpretation of the potential of industrial enterprise must also be taken into account today. The mentioned approaches, from the management point of view, allow to disclose the instrumentarium of ensuring the efficiency of development of the regional economic systems of more qualitative basis. Despite the diversity of interpretations, common features are allocated, which is represented by the most of approaches. It is noted that the allocated factors and conditions for building and further implementation of the potential of industrial enterprises of region differ in their impact on the potential of business entities. It is concluded that, taking into account the conditions of the external environment, as well as the influence of its respective factors, on the potential of the enterprise, it is possible not only to predict possible fluctuations of separate (functional) potential opportunities, but also to develop and implement the necessary measures to adjust this influence on operating systems in order to achieve the intended goal.

The publication proposes the formation of strategic goals of enterprise on the basis of a system of management of logistic costs. It is identified that the financial component remains one of the most important elements of the enterprise’s internal potential. The financial criteria reflect the enterprise’s long-term goals: provide the highest return on capital. It is specified that a balanced system of indicators, even within its financial component, allows not only formation of the criteria for implementation of long-term plans, but also considering all the changes that arise in achieving long-term goals. It is substantiated that the efficiency of use of assets and investments is achieved by general indicators, e.g., increasing profitability, reducing costs, increasing the use of assets. Logistical flows are the determining factor here, the main among which appears to be the material flow. Any enterprise needs resources for its existence, which can require significant investment (it can be special equipment, the latest information systems, or qualified staff). The directions of analysis of the impact on the client component of the enterprise’s activities, the main directions of influence on the internal business processes of enterprise and the main areas of analysis and achievement goal for the component of «training and development» are defined. It is concluded that implementation of the goals set for the financial, client components and the component of internal business processes depends on the capabilities of the component of «training and development» in the system of management of logistic costs.

The paper notes that one of the current priorities of Ukraine’s regional policy is to identify regional development problems and implement measures to solve them. At the same time, the actual absence of particular ways, both theoretical and practical, for addressing these problems, the outdated regulatory framework significantly limit the ability to comprehensively consider the wide range of issues related to regional development in Ukraine. In the course of the research, theoretical bases are generalized, and methodological support for the regional development strategy of Ukraine is developed. It is pointed out that today the strategic planning of regional development in our country is only being formed. Unfortunately, the practices and experience of European Union countries are not fully taken into account, there is no sufficient theoretical and methodological support for strategic planning of the development of territories, and the regulatory support for this process is being improved very slowly. It is established that a very important condition for the implementation of the regional development strategy is coordination and concurrence of actions of all subjects in the regional economic space – business and government of all levels – and the unification of all the positions necessary for strategic planning based on reliable information about their intentions. It is concluded that the current system of strategic planning, unfortunately, does not ensure the coherence of the macroeconomic, regional and sectoral aspect. In this regard, there is a need to improve the management system at the regional level, which should occur through reforming the public administration system and the development of local self-government as the most priority area for the implementation of public policy. The study confirms the practicality of searching for new approaches to achieve an effective formation and implementation of the regional development strategy to solve problems of territorial development, taking into account the positive experience of other countries, especially regarding measures aimed at reducing territorial imbalances, creating regional industry complexes and stimulating their development.

This paper discusses the day and night capability of a newly developed optical sensing suite flown on manned and unmanned aircraft in Monterey Bay and Santa Barbara, CA, during 2022 to detect marine mammals. New developments of electro-optical sensors integrated on medium and long-endurance unmanned aerial vehicles (UAVs) can provide cost-effective, qualitative sensing of marine biodiversity, to include species identification. Processing of captured imagery in both day and night applications has proven effective in removing surface-level reflections and background noise, which allows sensing of subsurface marine life to several attenuation lengths. Leveraging bioluminescence as a natural image enhancement phenomenon along with advanced signal processing of imagery captured by this sensing suite improves the quality of nighttime detection and species identification. Concepts and applications for this sensing suite integrated on UAV platforms for ocean food-chain modeling and maritime traffic avoidance are discussed, including deployment strategies for the Channel Islands National Marine Sanctuary off the California coast. [ABSTRACT FROM AUTHOR]

Unexploded ordnance (UXO) poses a threat to soldiers operating in mission areas, but current UXO detection systems do not necessarily provide the required safety and efficiency to protect soldiers from this hazard. Recent technological advancements in artificial intelligence (AI) and small unmanned aerial systems (sUAS) present an opportunity to explore a novel concept for UXO detection. The new UXO detection system proposed in this study takes advantage of employing an AI-trained multi-spectral (MS) sensor on sUAS. This paper explores feasibility of AI-based UXO detection using sUAS equipped with a single (visible) spectrum (SS) or MS digital electro-optical (EO) sensor. Specifically, it describes the design of the Deep Learning Convolutional Neural Network for UXO detection, the development of an AI-based algorithm for reliable UXO detection, and also provides a comparison of performance of the proposed system based on SS and MS sensor imagery. [ABSTRACT FROM AUTHOR]