Analysis of jet currents using the SST turbulence model

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01019 - 01019

Published: Jan. 1, 2024

An extensive comparative analysis of the application SST turbulence model to study an axisymmetric subsonic cold jet was carried out. The analyzed results numerical simulations in comparison with experimental data regarding propagation velocity and stresses at different values Reynolds number. This allowed us evaluate effectiveness predicting characteristics streams over a wide range conditions, which has important implications for development models optimization technological processes.

Language: Английский

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Comparison of turbulence models for the axisymmetrical separated boundary layer problem

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01018 - 01018

Published: Jan. 1, 2024

The article is devoted to the study of influence turbulent models on various processes in nature and technology. paper presents results applying standard one-parameter turbulence model SA, two-parameter SST three-parameter v2-f Comsol Multiphysics 6.1 software package for problem an axisymmetric separated boundary layer. These are then compared with experimental data from NASA TMR database. Analysis obtained shows that conclusions using different, despite unique formulation problem. This makes a significant contribution field numerical modeling phenomena serves as basis further developments engineering practice scientific research.

Language: Английский

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Environmental aspects and preferences when creating an energy-efficient house from natural materials such as Samantha

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01004 - 01004

Published: Jan. 1, 2024

The article discusses the advantages of adobe housing construction in suburbs from heat engineering and economic side. study showed that an house has a number both thermal point view. load-bearing wall good insulation properties, which reduces heating costs during cold periods. In addition, requires less energy materials than building traditional materials, also allows you to save money. Keywords: adobe, aerated concrete, efficiency, indicator, features, transfer resistance, cost, calculation, economy.

Language: Английский

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Enhancing Autonomous System Security and Resilience With Generative AI: A Comprehensive Survey

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 109470 - 109493

Published: Jan. 1, 2024

This survey explores the transformative role of Generative Artificial Intelligence (GenAI) in enhancing trustworthiness, reliability, and security autonomous systems such as Unmanned Aerial Vehicles (UAVs), self-driving cars, robotic arms. As edge robots become increasingly integrated into daily life critical infrastructure, complexity connectivity these introduce formidable challenges ensuring security, resilience, safety. GenAI advances from mere data interpretation to autonomously generating new data, proving complex, context-aware environments like robotics. Our delves impact technologies—including Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformer-based models, Large Language Models (LLMs)—on cybersecurity, decision-making, development resilient architectures. We categorize existing research highlight how technologies address operational innovate predictive maintenance, anomaly detection, adaptive threat response. comprehensive analysis distinguishes this work reviews by mapping out applications, challenges, technological advancements their on creating secure frameworks for systems. discuss significant future directions integrating within evolving landscape cyber-physical threats, underscoring potential make more adaptive, secure, efficient.

Language: Английский

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A consumer acceptance model in the artificial intelligence era

Management Decision, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 8, 2025

Purpose This paper identifies consumer acceptance criteria of artificial intelligence (AI)-enabled products and services in the business. We first investigate existing three models. They are technology model (TAM), unified theory use (UTAUT) (CAT). then discuss applicability these models for AI-enabled services. Finally, we outline shortcomings propose an product service (AIEPSAM). also validate proposed AIEPSAM with empirical results using primary survey data. Design/methodology/approach To understand customer’s point view on AI applications services, identify some critical factors present a conceptual framework consumers' based literature, prior research prominent management theories. Then, study broadens horizon beyond established principles associated to accommodate AI-specific factors/variables like data privacy, explainability apparent opacity algorithms. In this paper, that Findings argue although TAM, UTAUT CAT generally applicable explain attitudes towards technology, alone insufficient encompass entire spectrum AI-related issues must not be ignored. The model, namely AIEPSAM, accommodates limitations modifies make it suitable technology. Originality/value attempt articulate discover useful insights, leading examination formulating validation through is criticize TAM other but incorporate into those Through study, required modifications considering additional factors. will assist companies building better understanding emergence (TE) opportunities (TO).

Language: Английский

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Personalized Cognitive Support via Social Robots

Sensors, Journal Year: 2025, Volume and Issue: 25(3), P. 888 - 888

Published: Jan. 31, 2025

This paper explores the use of personalized cognitive support through social robots to assist elderly in maintaining health and emotional well-being. As aging populations grow, demand for innovative solutions address issues like loneliness, decline, physical limitations increases. The studied utilize machine learning advanced sensor technology deliver real-time adaptive interactions, including exercises, daily task assistance, support. Through responsive features, robot enhances user autonomy improves quality life by monitoring states adapting needs each user. study also examines challenges implementing assistive home healthcare settings, offering insights into evolving role AI-powered eldercare.

Language: Английский

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Creating algorithms to optimize power output in weather station solar panels

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01003 - 01003

Published: Jan. 1, 2024

This research is dedicated to strategies aimed at augmenting the energy efficiency of photovoltaic modules. It extensively examines a range algorithms designed identify maximum power points, evaluating their application achieve peak in solar panel utilization. The operational principles these are thoroughly elucidated, providing comprehensive understanding functionalities. Furthermore, study meticulously outlines merits and drawbacks associated with each algorithm, offering nuanced perspective on performance. comparison conducted based critical parameters, allowing for an in-depth assessment effectiveness. thorough analysis facilitates identification most suitable algorithm implementation specific context weather stations. By scrutinizing key aspects such as reliability, adaptability, overall performance, aims guide selection that aligns unique requirements challenges posed by station environments. significance this extends beyond theoretical considerations, it directly informs practical real-world scenarios. ultimate goal enhance performance systems, particularly challenging conditions encountered choosing contribute optimization harvesting utilization, ensuring stations can rely consistent efficient source.

Language: Английский

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Process of mechanical processing of cylindrical long parts and problems arising in the process

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01008 - 01008

Published: Jan. 1, 2024

This article investigates the intricacies of mechanical processing long cylindrical parts, focusing specifically on challenges encountered during drilling deep holes. Through comprehensive experimentation and analysis, various errors such as size discrepancies, shape inaccuracies, tool breakage were identified, highlighting their adverse effects machining precision efficiency. The study introduces a novel device, designed to address these by providing support cutting ensuring precise movement relative workpiece surface. Analysis forces acting elucidated dynamic nature process, facilitating optimization parameters enhancement process stability. findings underscore importance ongoing research innovation in processing, offering insights into development effective solutions improve accuracy productivity. Further refinement proposed device exploration advanced techniques are envisioned meet evolving demands modern manufacturing industries.

Language: Английский

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Optimization of pneumatic vortex processing for enhanced durability and reliability of machine parts

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 538, P. 01016 - 01016

Published: Jan. 1, 2024

This article addresses the pressing need for advancements in modern mechanical engineering Uzbekistan, focusing on increasing durability and reliability of machinery components. The study proposes utilization pneumatic vortex processing as an innovative solution, leveraging aerodynamic flow energy, particularly effect. Through theoretical analysis experimental studies, various designs devices cylindrical parts are developed analyzed. interaction between deforming balls surface being processed is thoroughly investigated, considering factors such turbulence, roughness, input pressure. Optimal parameters, including ball diameter, number balls, inlet pressure, determined to achieve desired quality. reveals influence pressure initial roughness quality force. Findings suggest that by adjusting diameter at a fixed optimal combinations can be identified different workpiece sizes materials. These results provide valuable insights enhancing components through optimized techniques.

Language: Английский

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Ethical dimensions of generative AI: a cross-domain analysis using machine learning structural topic modeling

International Journal of Ethics and Systems, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Purpose The purpose of this study is to comprehensively examine the ethical implications surrounding generative artificial intelligence (AI). Design/methodology/approach Leveraging a novel methodological approach, curates corpus 364 documents from Scopus spanning 2022 2024. Using term frequency-inverse document frequency (TF-IDF) and structural topic modeling (STM), it quantitatively dissects thematic essence discourse in AI across diverse domains, including education, healthcare, businesses scientific research. Findings results reveal range concerns various sectors impacted by AI. In academia, primary focus on issues authenticity intellectual property, highlighting challenges AI-generated content maintaining academic integrity. healthcare sector, emphasis shifts medical decision-making patient privacy, reflecting about reliability security advice. also uncovers significant discussions educational financial settings, demonstrating broad impact societal professional practices. Research limitations/implications This provides foundation for crafting targeted guidelines regulations AI, informed systematic analysis using STM. It highlights need dynamic governance continual monitoring AI’s evolving landscape, offering model future research policymaking fields. Originality/value introduces unique combination TF-IDF STM analyze large corpus, new insights into multiple domains.

Language: Английский

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