Simulation of Robotic Laser Welding Process

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

“…From autonomous vehicles that require instantaneous data exchange for navigation and safety, to smart cities where IoT devices operate in harmony to optimize urban services [4,5], 5G stands as the key enabler. Moreover, in densely populated urban centers, where current networks often struggle with congestion and bandwidth limitations, 5G promises a more robust and efficient communication infrastructure, ensuring seamless connectivity even in the most challenging environments [6].…”

Section: Introductionmentioning

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.

“…The advent of AI, particularly in the realms of machine learning and deep learning, has shown remarkable progress in addressing complex problems. This article delves into the potential of AI in automating the creation of parallel programs [3]. We will explore the advantages and challenges associated with various approaches and methods.…”

Section: Introductionmentioning

confidence: 99%

Advancing parallel programming integrating artificial intelligence for enhanced efficiency and automation

Zaripova,

Mentsiev,

Kovrizhnykh

2023

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.