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检索条件"任意字段=International Conference on Advanced Research on Computer Education, Simulation and Modeling"

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international conference on Digital Transformation: Informatics, Economics, and education, DTIEE 2023

International Conference on Digital Transformation: Informat...

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2023 international conference on Digital Transformation: Informatics, Economics, and education, DTIEE 2023

ISBN: (纸本)9781510664845

The proceedings contain 45 papers. The topics discussed include: research on mobile robot localization algorithm based on multi-sensor fusion;decision trees based multi-factor remote technical diagnostics of car retarders;decision trees based multi-factor remote technical diagnostics of car retarders;the construction of expert systems based on the theory of fuzzy sets as a trend in modern science and education;development of an adaptive control system for the quality parameter in the lack of information;point cloud analysis in a production quality guarantor computer vision system;using mathematical statistics to optimize the process of crossovers using data center infrastructure management;simulation modeling photovoltaic modules;machine learning techniques combination for selective and hierarchical analysis of psycho diagnostic data;rationalization of neural network training parameters on WWII poster classification example;and development of software and hardware complex for control and access management based on face recognition algorithms and neural networks.

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Big Data Approaches for an Accurate Evaluation of Cloud-Related Technology 11

Big Data Approaches for an Accurate Evaluation of Cloud-Rela...

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11th international conference on System modeling and Advancement in research Trends, SMART 2022

作者： Saraswat, Pankaj Kalsi, Krishna Sanskriti University Department of Computer Science and Engineering Uttar Pradesh Mathura India Chandigarh Engineering College Department of Computer Science and Engineering Jhanjeri India

ISBN: (纸本)9781665487320

A modern tech that has been utilized to ramp up complex calculations and marketplace procedures in several areas is increasing computer generated. Therefore, examination of massive data sets and cloud technology are necessary for 'Greater computer' (HPC) to become a reality. Considering the advantages, the research tried to identify the benefits and disadvantages both of Having people and VMware. The research utilized SEM approach to assist the procedure for integrating advanced HPC. The regression models in this investigation were examined using Spss program. Any correlation between dependent and selected variables that has a significance level of 0.05, or 'meaningful,' is regarded as significant. The response variable is Income Gain, whereas the study variables are HPC there in domain and year. Depending on the outcomes, there was no significant relationship between the independent and selected variables. The variables tested are not statistically meaningful, according to the Ips data, and the modelling data likewise does not meet the criterion. © 2022 IEEE.

关键词： Big data

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Efficient Virtual Network Embedding with Hierarchical and Cooperative Multi-Agent Reinforcement Learning 3

Efficient Virtual Network Embedding with Hierarchical and Co...

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3rd international conference on Communication, Computing and Digital Systems, C-CODE 2023

作者： Ullah, Ihsan Lim, Hyun-Kyo Seok, Yeong-Jun Khan, Muhammad Sajjad Han, Youn-Hee University of Technology and Education Advanced Technology Research Center Cheonan Korea Republic of Future Convergence Engineering Korea University of Technology and Education Cheonan Korea Republic of International Islamic University Department of Electrical & Computer Engineering Pakistan

ISBN: (纸本)9798350332391

Virtual network embedding is a process that allows for the creation of multiple virtual networks, each specifically designed to meet the unique requirements of various services, on a shared physical network infrastructure. 5G network virtualization requires an efficient embedding algorithm to maximize the resource utilization of the substrate network. In this paper, we propose a hierarchical cooperative multi-agent reinforcement learning scheme to provide a virtual network embedding solution for effective network resource utilization, maximum revenue, and minimum cost. The proposed scheme applies 1) hierarchical reinforcement learning for efficient exploration by dividing the problem into sub-steps, and 2) multiagent-based cooperative reinforcement learning to improve algorithm performance through the cooperation of multiple agents. The simulation results show that the proposed scheme outperforms the comparative schemes in terms of revenue, cost, revenue-to-cost ratio, and acceptance ratio. © 2023 IEEE.

关键词： 5G mobile communication systems

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Control of ROV Thrusters via Discrete Modal State Controller

Control of ROV Thrusters via Discrete Modal State Controller

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2023 international conference Automatics and Informatics, ICAI 2023

作者： Nikolov, Nikola N. Grigorov, Ivan V. Chterev, Konstantin I. Technical University of Varna Faculty of Computer Science and Automation Department of Automation Varna Bulgaria Black Sea Research Fund Varna Bulgaria

ISBN: (纸本)9798350312911

Most of the underwater activities are carried out with a Remotely Operated Vehicle (ROV). ROVs are driven by thrusters, and controlling the movement of the ROV underwater is related to continuous regulation of the speed of the electric motors driving its thrusters. This paper presents one variant of ROV propulsion control using a discrete modal state controller. A mathematical description in the state space has been made for one of the most commonly used electric motors. The operation algorithm of the discrete modal state controller to calculate the feedback vector was developed and simulation modeling was done in MATLAB/Simulink. © 2023 IEEE.

关键词： MATLAB

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advanced 3D modeling for Augmented Reality Visualizations in Engineering education: Issues, Challenges, and Future

Advanced 3D Modeling for Augmented Reality Visualizations in...

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modeling, simulation & Intelligent Computing (MoSICom), international conference on

作者： Trishna Paul Mukesh Kumar Rohil Department of Computer Science and Information Systems Birla Institute of Technology and Science Pilani Rajasthan India

Augmented Reality (AR), the superimposing of a virtual object on the view of the real environment, assists in visualizing engineering concepts in real-time. computer graphics-based 3D modeling techniques evolved over the past five decades are being used in AR systems. Representations of 3D objects using polygons, surface patches, points (or voxels), and lines are insufficient to visualize the intricacies of objects having curved surfaces. To enable high-level control and accuracies pertaining to 3D representational details of 3D models, advanced 3D modeling approaches are needed. In this paper, we discuss (along with their suitability, examples, and advantages) several advanced 3D modeling techniques for AR visualizations. We emphasize that the use of AR visualizations for teaching and learning can help learners with a better understanding of concepts in engineering education. Additionally, we discuss some issues, challenges, and the future scope of use of AR in Engineering education.

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5th international conference on Real Time Intelligent Systems, RTIS 2023

5th International Conference on Real Time Intelligent System...

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5th international conference on Real Time Intelligent Systems, RTIS 2023

ISBN: (纸本)9783031558474

The proceedings contain 41 papers. The special focus in this conference is on Real Time Intelligent Systems. The topics include: The Application of Artificial Intelligence Technology in Dance Teaching;design of a Cabin English Automatic Broadcasting Detection System Based on Deep Learning;application of Improved Clustering Algorithms in Modern education Technology’s Blended Learning;an IoT Blockchain to Improve the Traceability on Agri-Food Applications;process Analysis of Depression Expression and Action Changes and Their Psychological Integration Based on Deep Learning Algorithms;moderating the Role of Real-Time Intelligence Systems in the Relationship Between Emotional Intelligence and Employee Performance;optimization of Logistics Distribution Route Based on Improved Genetic Algorithm;carrier Adjustment Algorithm for Mobile Communication Network Based on Deep Reinforcement Learning;diabetic Retinopathy Detection Using Amalgamated Deep Learning Algorithm;evaluation Method of College Students’ education Based on Artificial Neural Networks;research on Intelligent Algorithm-Based Swimming Athlete Pose Recognition and Correction Method;study on a Web-Based Remote Classroom English Writing Practice System Using Intelligent Model;coordination Training and Testing of Upper and Lower Limbs in Aerobics Under Neural Networks;vocal Melody Extraction Based on Sparse Autoencoding Neural Networks;Football Players’ Physical Parameter simulation Training Based on AI Intelligent simulation;Total Cost of Ownership Optimization for ERP System Implementation Project Using advanced Technologies;design of Neural Network-Based Intelligent Robot-Assisted English Translation System;english Language Translation Machine System Based on Human-computer Interaction;early Warning of Subjective Perception of Students Based on Big Data Analysis Techniques in Growth Environment;towards an Autonomous Response System. Case: Denial of Service Attacks.

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Evaluation of Innovative Development 12

Evaluation of Innovative Development

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12th international conference on advanced computer Information Technologies, ACIT 2022

作者： Horal, Liliana Onyshchenko, Volodymyr Yakubyshyn, Oleksandra Shyiko, Vira Brych, Vasyl Ifntung Finance Department Ivano-Frankivsk Ukraine Y. Kondratyuk University Poltava National Technical Poltava Ukraine Se 'Kaluska TES-NOVA' Kalush Ukraine West Ukrainian National University Education and Research Institute of Innovation Nature Management and Infrastructure Ternopil Ukraine

ISBN: (数字)9781665410502

ISBN: (纸本)9781665466479

The importance of assessing the innovative development of enterprises is determined. The necessity of using an integrated indicator to assess the innovative development of enterprises is substantiated. Four components have been identified that comprehensively characterize the innovative development of enterprises. Within these components, individual indicators have been established according to which each of the components has been evaluated. Comprehensive indicators of evaluation of each of the components are calculated. The integrated indicator of innovative development on the example of the oil and gas enterprise is calculated and analyzed. © 2022 IEEE.

关键词： Technological innovation Oils Computational modeling Neural networks Production Personnel Information technology

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research on the Digital Protection Technology of Intangible Cultural Heritage Information under computer Artificial Intelligence 3

Research on the Digital Protection Technology of Intangible ...

引用

3rd international conference on computers, Information Processing and advanced education, CIPAE 2022

作者： Hu, Ruiming Anhui Technical College of Industry and Economy Hefei Anhui230051 China

ISBN: (纸本)9781665468121

The protection of intangible cultural heritage has a single form and poor interaction. In response to this problem, this paper proposes designing and implementing a digital online display system for intangible cultural heritage based on mobile augmented reality technology. The digital protection of intangible cultural heritage cultural information designed in this paper applies the main functional modules of the cloud and mobile terminals. The system uses a rapid modeling method based on 3D scanning and meshes iterative simplification. In order to introduce this method in detail, this paper discusses the functions and paths of intangible cultural heritage information protection from the aspects of function distribution, data structure, module construction, technical support, and implementation subjects. This paper finds that the knowledge modeling of intangible cultural heritage resources based on computer artificial intelligence technology eases the designer's knowledge reasoning process, and this information digital protection system improves the accuracy of product cultural connotation expression. © 2022 IEEE.

关键词： Distribution functions

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Stock Sage Navigator: Guiding Investors Through Market Complexities 3

Stock Sage Navigator: Guiding Investors Through Market Compl...

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3rd international conference on Automation, Computing and Renewable Systems, ICACRS 2024

作者： Shanmugapriya, S. Jethin, Gogineni Priya, Gondipalli Hari Kumar, Chintamani Vinod Sai, Dola Lokesh Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Tamilnadu Virudhunagar India

ISBN: (纸本)9798331532420

In this modern era where making right investment decisions is very tough for single investors. Stock Price Analysis uses statistical data modeling and now in the emerging technologies, artificial intelligence in the depicting the future price of a specific stock. Even though new methods like neural network gave a push to the accuracy, the market changes are still a hurdle. Constant work is being carried out to increase robustness to try to include data of other types to represent market conditions quite accurately. Of-course there is a huge advantage for retail traders since there is a large information flow, fluctuations in price and professional approaches of large investors. This paper therefore aims to focus on implementing an advanced web application for stock analysis and prediction to meet this need. Developed with Python, the app incorporates a machine learning-based stock price prediction, sentiment analysis of the financial media, technical indicators, and multi-stock analysis. Putting the mentioned aspects together, the tool is designed to help retail investors to gain access to market insight that was previously feasible only for the professional traders. Putting the mentioned aspects together, the tool is designed to help retail investors to gain access to market insight that was previously feasible only for the professional traders. The focus of the research is on the synergy of machine learning, natural language processing, and technical analysis to improve the stock market analysis and help people who invest in the stock market to better understand it. © 2024 IEEE.

关键词： Sales

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Information Technologies for Training of Specialists on the basis of Designing Costs for Electric Power Transmission in Overhead Transmission Lines 6

Information Technologies for Training of Specialists on the ...

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6th international conference on Information Technologies in Engineering education, Inforino 2022

作者： Izhutkin, V. Zonov, A. Denisova, A. National Research University MPEI Moscow Russia

ISBN: (纸本)9781665405775

The paper considers the use of information technologies for estimating the specific discounted costs of electricity transmission in overhead power lines, as well as in engineering education. The software implementation of the mathematical model makes it possible to estimate the costs of transmitting electricity to consumers in order to save energy. The advantage of the computer model is the dynamic visualization of the simulation results when selecting the physical parameters of the model in the specified ranges to minimize costs when transmitting electricity to end consumers. The developed software package is designed to train students on the basis of the project method in the engineering education of power engineers. © 2022 IEEE.

关键词： Training Visualization Costs Power transmission lines Software packages Computational modeling simulation

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