Analyzing Relationship between Financing Constraints, Entrepreneurship, and Agricultural Company Using AI-Based Decision Support System

Decision support technology has become a key link in modern information strategy. With the deepening of research, introduced expert systems have been introduced into decision support systems. In this way, decision support systems gradually become more uncertain and capable of handling uncertainties. The development direction of decision support system is typically based on qualitative analysis. Intelligent decision support system is a system that combines decision support system with artificial intelligence technology. This study attempts to assess in an innovative way the relationship between financing constraints, entrepreneurship, and agricultural firms. The most recently proposed intelligent decision support system, AI-assisted Intelligent Decision Support System (AIIDSS), is used to predict the impact of entrepreneurship on corporate performance. The paper constructs an entrepreneurship index from five aspects: innovation, competitiveness, human capital accumulation, management capability, and adventurous spirit. The method intends to construct the Kaplan–Zingales (KZ) index to evaluate financing constraints. Through an empirical study, it was found that entrepreneurship can significantly promote the growth of listed agricultural companies. The study can drastically reduce the difficulties involved in financing constraints normally faced by agricultural companies. The impact paths include increasing agricultural company operating cash flow, improving stock liquidity, and increasing debt financing. The research suggests that if listed agricultural companies are to improve financing constraints, entrepreneurs must improve their own competitiveness and management capabilities. This will help in reasonably controlling research and development investment besides the impulse to take risks. As the growth of an enterprise relies on considering the determinants of financing constraints, this research provides an effective investigation technique. Moreover, the findings of the study will help entrepreneurs, particularly agricultural companies, to bear most of the risks and to avail most of the opportunities.

Internet of Things (IoT) Technology for the Development of Intelligent Decision Support Education Platform

Improving the intelligence of teaching environment and making the multimedia teaching equipment has become a major concern of the colleges and universities. To this end, the design of Internet of Things (IoT) technology based wisdom of higher education platform is of great interest. Designing the structure of online management platform for college education and realizing the functions of examination result inquiry, online teaching, and attendance management have gained more importance in the educational research. The wisdom classroom is the key structure of the wisdom education platform. A smart classroom architecture based on IoT technology is designed, which connects with traditional network facilities through the IoT gateway. Different layers of the architectures have been designed and implemented. The proposed platform tests results and shows that the intelligent education platform can effectively control classroom utilization and has high throughput, low application latency, and good practicability.

Peculiarities of purpose in providing the information stability of surveillance radar sensing modes in the process of their radio electronic suppression

It is possible to look at the special features of the goal setting while ensuring information stability of radar sounding modes when they are suppressed by the active interferences and interfering information influences. Overcoming the complexity of goal-setting processes, the validity and prompt decision-making with a shortage of time for its adoption is associated with insuring the consistency of goal-setting the levels of their intellectualization and formalization. This will contribute to imparting the desired properties, synthesized during the conflict, to the multipurpose strategies and the situational law of the control of the REP processes and the coordination of actions. An increase in the level of intellectualization of goal-setting processes is ensured by: decomposition of the general goal-setting problem into separate, simpler subtasks with effective solutions, implemented in the corresponding subsystems of the ACSstab (or basic associations of its functional elements) at stages of information support, preparation, adoption and implementation of the decision at the stages of hierarchical levels of management; cognitive analysis of goals and reflexive synthesis of goal-setting processes using the capabilities of a specialized intelligent decision support system to enhance the creative-reflexive abilities of the subject of management and increase the level of his professional competencies; combining the universality of the stages of rational management of the synthesis of the strategy for managing the REP processes with the specifics of conflict situations, subjectivity, cognition and reflexivity nature of intellectual control. Methods and means of partial formalization of goal-setting processes are presented, when the structuring of the main goal is carried out taking into account belonging to the strategies of internal and external control of the REP, the decomposition of the two-sided dynamic model of the conflict between the systems of the RES complex and the radar, the hierarchy of management levels, various approaches applied to goal-setting in a crisis management, as well as methods of justifying goals, resource costs and control of achieving the goals. These features can significantly reduce the degree of subjectivity of management for goal-setting and achieve their validity, completeness, consistency.

Construction of Smart City Street Landscape Big Data-Driven Intelligent System Based on Industry 4.0

With the application of engineering management in smart city construction under Industry 4.0, the intelligent design of urban street landscape has attracted extensive attention. Affected by the low intelligent level of traditional landscape design, the existing urban landscape composite system has difficulty in meeting the needs of smart city construction. Therefore, this paper proposes the construction of street landscape big data-driven intelligent decision support system based on Industry 4.0. Based on the complex network theory, this paper analyzes the structure, links, nodes, driving forces, and functional requirements of urban street landscape and then puts forward the construction content and implementation method of urban street landscape intelligent decision support system. The system consists of four aspects: intelligent infrastructure, service, protection and maintenance, and management and evaluation system. Its implementation not only reflects the cooperation and effective application of intelligent technology in each stage of street landscape construction, but also provides reference for the application of engineering management in other fields under Industry 4.0.

THE CONCEPT OF CREATING AN INTELLECTUAL CORE OF AN INTEGRATED INFORMATION AND ANALYTICAL SYSTEM FOR ACTION IN EMERGENCIES OF MAN-MADE NATURE

Subject matter. Informatization of processes of counteraction to man-made emergencies. Goal. Improving the effectiveness of the process of information support for decision-making in overcoming the consequences of man-made emergencies, in terms of its intellectualization, by creating a concept of integration of various software tools within a single, homogeneous space of knowledge about strategic, tactical and operational actions in a wide range of accidents and disasters related to the operation of technical facilities. Tasks. Develop a formal statement of the problem of decision-making in an emergency situation and justify the methodology of its implementation based on the integration of knowledge tools with various analytical models that describe the processes of emergency. Consider the application of the proposed methodology on a scenario that reproduces the situation on the site after the leakage of a highly toxic substance. Methods. System analysis - in the development of a comprehensive process model for decision-making in an emergency; software engineering - when creating the architecture of an integrated intelligent decision support system in emergencies of man-made nature; physics of the processes of distribution of toxic chemicals in the atmosphere - in the development of a scenario of the situation at the site in an emergency situation at an industrial site. Results. The concept of creating an integrated intelligent decision support system for overcoming the consequences of man-made emergencies, in particular, the formal formulation of a typical problem of decision-making in emergencies is described, as well as the basic principles of its solution, and the formulation of the problem of modeling management processes associated with man-made emergencies is developed. Conclusions. The concept of creating an integrated information-analytical system to support decision-making in man-made emergencies is presented. Within the framework of this concept, formal models of decision-making in man-made emergencies and an approach to the integration of diverse software within a single, homogeneous knowledge space on comprehensive measures to overcome the consequences of emergencies related to accidents and disasters at technical facilities infrastructure. The scenario example of the organization of intellectual support of decisions at release into the atmosphere of a toxic chemical is considered.