Perfection of the methodology for developing industrial secondary energy generation systems

Plotnikova, L. V.; Giniyatov, R. R.; Sitnikov, S. Y.; Fedorov, M. A.; Zaripova, R. S.

doi:10.1088/1755-1315/288/1/012069

Cited by 19 publications

(11 citation statements)

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“…The practical application of "precision farming" was made possible due to the widespread use of electronic equipment software, the creation of remote and on-board sensors for actuating the executive automatic parts of machines and assemblies [12][13][14]. Accelerating the solution of problems to improve management in the agro-industrial complex using electronic equipment consists not only in increasing its financing, but also in training employees capable of creating and applying information technologies in agriculture, including "precision agriculture".…”

Section: Resultsmentioning

confidence: 99%

Major Trends in the Digital Transformation of Agriculture

Zaripova¹,

Marina²,

Rocheva³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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The digitalization of the agro-industrial complex is a global process, during which the traditional way of agricultural production is replaced by a new one. Information resources are being formed, the collection, synthesis and adaptation of databases, applied software products and recommendations for improving the efficiency of agricultural production are taking place. The use of digital transformation technologies in agriculture is relevant and is becoming part of a competitive business. The article describes the main trends in digital transformation in agriculture. The main trends in the use of intelligent innovations are precision farming technologies, cloud services of agricultural enterprise management, monitoring and accounting systems. The tasks and directions of digitalization of agricultural production have been defined. The research subject: relations, processes and mechanisms of digitization of agrarian sector of economy. Methods of research: analysis, synthesis, and generalization. Objective of the research: analysis of the current state of agricultural digitalization, identification of defining directions in the process of digital transformation and prospects of new technologies application in agriculture.

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Section: Resultsmentioning

confidence: 99%

Major Trends in the Digital Transformation of Agriculture

Zaripova¹,

Marina²,

Rocheva³

et al. 2020

Proceedings of the “New Silk Road: Business Cooperation and Prospective of Economic Development” (NSRBCPED 2019)

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“…AI's ability to learn from data and improve over time presents a unique opportunity to assist in parallel programming. By leveraging AI, developers can potentially overcome the complexities involved in parallelization, making it more accessible and efficient [4,5].…”

Section: Introductionmentioning

confidence: 99%

Advancing parallel programming integrating artificial intelligence for enhanced efficiency and automation

Zaripova,

Mentsiev,

Kovrizhnykh

2023

E3S Web Conf.

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This article delves into the burgeoning integration of Artificial Intelligence (AI) in parallel programming, highlighting its potential to transform the landscape of computational efficiency and developer experience. We begin by exploring the fundamental role of parallel programming in modern computing and the inherent challenges it presents, such as task distribution, synchronization, and memory management. The advent of AI, especially in machine learning and deep learning, offers novel solutions to these challenges. We discuss the application of AI in automating the creation of parallel programs, with a focus on automatic code generation, adaptive resource management, and the enhancement of developer experience. The article examines specific AI methods – genetic algorithms, reinforcement learning, and neural networks – and their application in optimizing various aspects of parallel programming. Further, we delve into the prospects of combining these AI methods for a synergistic effect, emphasizing the potential for increased efficiency and accuracy. The importance of integrating AI technologies with existing development tools is also highlighted, aiming to bring AI's benefits to a broader developer audience. The article concludes with an outlook on future research directions, including the development of adaptable AI models tailored to diverse tasks and environments in parallel programming. These advancements promise to make parallel programming more powerful, accessible, and efficient, paving the way for a new era of computational capability and innovation.

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“…The mission of power supply companies is to ensure reliable, high quality and affordable power supply to consumers, to create conditions for efficient operation of enterprises and organisations, comfortable and safe life of the population for the purpose of dynamic social and economic development [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Vendor selection information system on the electronic trading platform for energy supply companies

et al. 2021

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The main challenges for industrial companies today are to improve the competitiveness of their products and to adapt and respond quickly to changes in the external environment. Ensuring the effective functioning of an industrial enterprise is largely determined by its procurement activities, including the reliability and consistency of the procurement process. Relevance of the topic is conditioned by the fact that procurement is one of the main components in increasing of competitiveness and efficiency of the enterprise, as the major part of costs in the cost price of the finished products is concentrated exactly in procurement. Reducing costs in procurement is one of the ways to improve the efficiency of the enterprise. This advantage can be achieved through the introduction of modern information technologies, namely automation of the process of selecting suppliers on an electronic trading platform. For this purpose, an information system for selecting suppliers on the electronic trading platform has been developed, which enables a more transparent, fast, profitable and less costly selection of the cheapest and most suitable goods for the operation of energy supplying enterprises. Procurement activities are aimed at ensuring that the energy-supplying undertaking receives the right quantity and quality of raw materials, materials, goods and services at the right time, in the right place, from a reliable and trustworthy supplier with good service and at a favourable price. Automating the supplier selection process on an electronic platform is essential in today's market environment.

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Perfection of the methodology for developing industrial secondary energy generation systems

Cited by 19 publications

References 0 publications

Major Trends in the Digital Transformation of Agriculture

Major Trends in the Digital Transformation of Agriculture

Advancing parallel programming integrating artificial intelligence for enhanced efficiency and automation

Vendor selection information system on the electronic trading platform for energy supply companies

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