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

Self Cite

Accurate measurement of the dynamic flow rate of the components of the gas-fuel mixture is required in electronic automatic control systems of the internal combustion engine. The paper substantiates the structural construction of the measurement channels of the multi-channel gas-diesel engine control system. In the implementation of the measurement channels, special attention is paid to the structure of the jet-convective channel for obtaining an informative signal on the gas fuel flow rate and the structure of the ion-labeled channel for measuring the air flow rate. Application of jet-convective transducers is supplemented by the original structural scheme of primary signals processing, which will allow expanding the measurement range towards low flow rate values, increasing the speed and reducing the random component of the error.

Section: Resultsmentioning

confidence: 99%

Multi-channel gas-diesel engine control system based on jet-convective sensors

Porunov,

Tyurina,

Zaripova

et al. 2024

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“…One of the most significant impacts of 5G is on the development and expansion of the IoT ecosystem [40]. 5G's superior bandwidth and ultra-low latency make it an ideal backbone for connecting and managing a vast array of IoT devices [41,42]. With the capability to support reliable and rapid connections for billions of devices, 5G paves the way for more sophisticated and integrated IoT applications.…”

Section: Impact Of 5g On Connected Technologiesmentioning

confidence: 99%

The 5G revolution transforming connectivity and powering innovations

Nuriev,

Kalyashina,

Smirnov

et al. 2024

This article delves into the transformative world of 5G technology, elucidating its foundational principles, technological advancements, and the global momentum behind its deployment. With an emphasis on the revolutionary capabilities of 5G, from unprecedented speeds and ultra-low latency to enhanced network efficiency, the article explores the myriad ways in which this next-generation technology is reshaping telecommunications and catalyzing innovations across diverse sectors such as autonomous transportation, smart cities, healthcare, and industrial automation. Highlighting case studies from pioneering regions like South Korea and China, the article showcases the real-world implementations and tangible benefits of 5G, underscoring its role in driving technological advancements and improving user experiences. Furthermore, insights from research projects like 5G-MoNArch and 5G-PICTURE provide a deeper understanding of 5G’s potential to revolutionize multimedia and entertainment, along with critical communication systems. The article also addresses the challenges and considerations inherent in the widespread adoption of 5G, including infrastructure upgrades, coverage expansion, security concerns, and the need for adaptive regulatory frameworks. Through an examination of these challenges, it emphasizes the importance of collaborative efforts among industry stakeholders, policymakers, and the international community to navigate the complexities of 5G deployment successfully. Concluding with a forward-looking perspective, the article posits 5G as a pivotal driver of future innovations, highlighting its potential to not only enhance connectivity but also to fundamentally alter the economic, industrial, and societal landscapes.

“…This leads to improved overall system performance, efficiently handling varying workloads and operational conditions. Moreover, these adaptive systems demonstrate an enhanced ability to adjust to different operational conditions, ensuring effective performance across various scenarios [34,35].…”

Section: Applications Of Ai In Parallel Programmingmentioning

confidence: 99%

Advancing parallel programming integrating artificial intelligence for enhanced efficiency and automation

Zaripova,

Mentsiev,

Kovrizhnykh

2023

Self Cite

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.