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检索条件"任意字段=International Conference on Advanced Computer Control"

共 19837 条记录，以下是151-160 订阅

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Determining Performances of Inertially Stabilzed Platform based on Mathematical Modelling 13

Determining Performances of Inertially Stabilzed Platform ba...

引用

13th international conference on advanced computer Information Technologies, ACIT 2023

作者： Sushchenko, Olha Bezkorovainyi, Yurii Salyuk, Olexandr Kovalenko, Artem National Aviation University Aerospace Control Systems Department Kyiv Ukraine

This paper describes the peculiarities of determining the characteristics of inertially stabilized platforms operating on land-based moving objects. A method for estimating the dynamic error and the influence of the unbalanced moment is proposed. The possibilities of different ways of setting control signals during semi-natural tests were investigated. The results of experimental tests of inertially stabilized platforms intended for operation on ground-moving objects are presented. The proposed approaches are relevant for evaluating the characteristics of the motion control system of the stabilized platform after performing its synthesis and organizing the process of semi-natural tests. The obtained results can be extended to inertially stabilized platforms of a wide class. © 2023 IEEE.

关键词： Motion control

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international conference on Electrical and computer Engineering Researches, ICECER 2024

International Conference on Electrical and Computer Engineer...

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2024 international conference on Electrical and computer Engineering Researches, ICECER 2024

ISBN: (纸本)9798331539733

The proceedings contain 115 papers. The topics discussed include: engineering and data-driven approaches for load forecasting: a review;control strategies and battery management for hybrid energy systems and electric vehicles;design, simulation, and experimental implementation of an electric vehicle based on buck converter;advanced energy management and optimization in microgrid systems;optimization and management of residential energy systems: forecasting methods, energy efficiency models, and renewable integration;fault detection and diagnosis techniques for power cables: methods, applications, and simulation-based validation;simulating scalable architectures for cloud based systems: identifying bottlenecks and optimal design strategies;and investigation of frequency response of a power network under varying penetration levels of renewable energy sources.

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A computer Simulation based Design and control Solution for a Smart Current controlled Flyback Converter for LED Lighting Applications 24

A Computer Simulation based Design and Control Solution for ...

引用

13th international conference on Software and computer Applications, ICSCA 2024

作者： Kannan, Kishore Padmasali, Anjan N. Kini, Savitha G. Department Of Electrical And Electronics Engineering Manipal Institute Of Technology Manipal Academy Of Higher Educaton Manipal Karnataka India

ISBN: (纸本)9798400708329

LED lighting technology is a widely used lighting solution owing to its numerous advantages such as high efficacy and long-lasting lifetime. The LED luminaires tend to degrade over time resulting in gradual reduction in light output continuously results in reduced performance. The paper proposes an all-inclusive optimal design and control solution for a smart constant current regulated flyback converter suited for LED applications in LED lighting systems. For accurate performance evaluation, the suggested approach incorporates advanced control techniques and makes use of computer simulations. The proposed LED driver can maintain constant illuminance by maintaining a constant drive current in the light engine. The system consists of a flyback converter stage that regulates the driving current by changing the duty ratio after an AC-DC rectifier stage. For the proposed converter, a computer simulation is executed in which a computer-generated degradation is adopted. It is observed that the converter modifies the duty ratio to maintain a constant drive current, which, in practice, translates to constant illumination. The developed technique assists industries and applications in maintaining a steady light output during their lifespan operations. © 2024 Owner/Author.

关键词： Light emitting diodes

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How Deep Learning is Implemented in Manufacturing Quality control 3

How Deep Learning is Implemented in Manufacturing Quality Co...

引用

3rd international conference on Artificial Intelligence and computer Information Technology, AICIT 2024

作者： Li, Dongjin Chen, Xinyan Tan, Peiwen Jia, Jie School of Electronic Information Shanghai Dian Ji University Shanghai201306 China

ISBN: (纸本)9798350365443

This study aims to explore the application and effect of deep learning technology in manufacturing quality control. The study deployed a convolutional neural network (CNN) model to analyze images and sensor data during the manufacturing process to achieve automatic detection and classification of defects. The experiments were conducted in a simulated high-speed production line environment, and a large amount of production data, including images and sensor readings, were collected and processed. The results showed that the accuracy of the deep learning model in identifying serious, moderate and minor defects reached 98%, 95% and 90% respectively, which was significantly higher than the traditional quality control system. The conclusion shows that deep learning technology can significantly improve the quality control accuracy and efficiency of the manufacturing industry, provide strong technical support for the field of intelligent manufacturing, and indicate broad application prospects in advanced manufacturing systems that require higher levels of automation and intelligence. © 2024 IEEE.

关键词： Smart manufacturing

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Real Estate Information Exploration in VR with LoD control by Physical Distance 10th

Real Estate Information Exploration in VR with LoD Control b...

引用

29th international conference on Database Systems for advanced Applications (DASFAA)

作者： Nakayama, Yuki Tsuda, Yuya Shoji, Yoshiyuki Ohshima, Hiroaki Univ Hyogo Kobe Hyogo 6512197 Japan Shizuoka Univ Hamamatsu Shizuoka 4328011 Japan

ISBN: (纸本)9789819609130;9789819609147

We propose a method for real estate information exploration in VR. It is difficult to find a real estate property that matches the user's preferences from many properties. Each real estate property has multiple attributes such as rent, layout, nearest station, and so on. In web services for real estate information exploration, search results are usually displayed in a list similar to a standard Web search. Listed search results are not suitable for an overview of the information. We have developed an interface for information search that enables the user to overview real estate information in VR with an unlimited display area. In the proposed system, the user can select a target attribute or narrow down the results by attribute values. Real estate information is displayed as a panel in which information on several real estate properties is gathered. When the user physically gets closer to the panel, more detailed information is presented on the panel. In other words, level of detail (LoD) control by physical distance is implemented. Thus, the proposed system can intuitively and seamlessly switch between an overview of overall information and a presentation of detailed information. Users evaluated the LoD controls to be easy to operate.

关键词： VR Search interface Exploratory search

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Policy Transfer with Maximum Entropy Deep Reinforcement Learning for Real Cart-Pole control 20

Policy Transfer with Maximum Entropy Deep Reinforcement Lear...

引用

20th IEEE international conference on Intelligent computer Communication and Processing conference, ICCP 2024

作者： Paleu, Tudor-Andrei Burlacu, Adrian Pascal, Carlos Gheorghe Asachi Technical University of Iasi Department of Automatic Control and Applied Informatics D. Mangeron 27 Iasi700050 Romania

ISBN: (纸本)9798331539979

Transferring learned controllers from simulation to real-world domains is rarely observed for deep reinforcement learning applications, even physics-based tasks like the inverted pendulum being particularly difficult when transitioning to the physical world. Model-free controllers based on deep reinforcement learning have been a successful choice for many tasks. They are preferred over model-based ones due to their adaptive capability to situations not included in the initial design and for requiring less advanced expertise in control. This paper aims to apply learning-based model-free control to a real cart-pole system using a deep reinforcement learning policy transferred from simulation to a real environment without any fine-tuning involved with the dynamics model. In a simulation, the baseline deep Q-learning, an off-policy model-free algorithm, delivered an inferior performance on the Cart-Pole environment compared to the soft Q-learning, keeping the same hyper-parameters and ensuring reproducible outcomes. In the real experimental setup, besides a PD controller feasible for under-actuated systems, the soft version policy was transferred to accelerate the design process and enhance the control. Additionally, limitations related to the brittle robustness of PD controllers and the absence of accurate models in the learning phase are studied and addressed. © 2024 IEEE.

关键词： Deep reinforcement learning

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Comprehensive Vehicle Air Quality for Enhanced Maintenance and Pollution control

Comprehensive Vehicle Air Quality for Enhanced Maintenance a...

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2024 international conference on Emerging Innovations and advanced Computing, INNOCOMP 2024

作者： Thopate, Prof. Kaushalya Kulkarni, Arpita Kukade, Sahil Kulkarni, Ojas Singh, Kaustubh Vishwakarma Institute of Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350376470

Our research underscores the critical need to address escalating vehicular pollution amid rapid urbanization and soaring vehicle numbers. This pervasive issue poses grave threats to both the environment and public health. Employing cutting-edge technology like DHTll, MQ135 sensors, I2C module, and the Blynk app, we engage in real-time monitoring and visual representation of crucial pollutants. We also trace the historical progression of emission standards and explore the integration of advanced detection technologies. Through collaborative efforts, we envision a future where vehicles not only excel in mobility but also stand as stewards of the environment, ensuring a healthier, more balanced world for generations to come. © 2024 IEEE.

关键词： Pollution detection

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Improving Drone Agility and Stability with advanced Flight control Systems Using MPU-6050 IMU and High-Fidelity Simulation

Improving Drone Agility and Stability with Advanced Flight C...

引用

2024 international conference on Cybernation and Computation, CYBERCOM 2024

作者： Sing Kang, Sandeep Singh, Nongmeikapam Thoiba Grover, Richa Chandigarh University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9798331542344

The study intends to improve drone capabilities for recreational use by creating a strong flight control system. The effort aims to educate drone enthusiasts and specialists on a novel approach to assessing and testing UA V flight control systems using high-fidelity simulation and MATLAB SimulinklFPGA Hardware-in-the-Loop (HIL). The MPU 6050 IMU and other sophisticated sensors and control algorithms enable the system to achieve exceptional flight stability, accuracy, and agility. When compared to conventional drone designs, extensive testing shows enhanced trajectory tracking, agility, durability, and reliability. The accomplishments of the research highlight the possibility of additional developments in autonomous drone systems, such as the incorporation of sophisticated algorithms such as computer vision and swarm intelligence. With planned improvements ranging from intelligent navigation to energy efficiency optimizations for extended flight endurance, the study's open-sourcing approach fosters cooperation and creativity in the development of future drone technology. © 2024 IEEE.

关键词： Drones

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AI-empowered Pose Reconstruction for Real-time Synthesis of Remote Metaverse Avatars 21

AI-empowered Pose Reconstruction for Real-time Synthesis of ...

引用

21st international Joint conference on computer Science and Software Engineering (JCSSE)

作者： Gu, Xingci Yuan, Ye Yang, Jianjun Li, Longjiang Univ Elect Sci & Technol China Glasgow Coll Chengdu Peoples R China Univ Elect Sci & Technol China SICE Chengdu Peoples R China

ISBN: (纸本)9798350381771;9798350381764

The Metaverse, a synergistic blend of physical and virtual realities, is rapidly evolving as a hub for digital twins and digital avatars, offering transformative potential in domains ranging from smart manufacturing to kinematic examination. This paper introduces an AI-empowered framework for the synthesis of Metaverse avatars through a monocular camera-based system. Our approach integrates a shared control system and advanced multistage filtering to refine sensor data, substantially enhancing pose precision and avatar realism. Experimental results demonstrate our framework's superiority in reducing data jitter and improving network transmission. By harnessing the power of AI and network optimization, our system ensures a cost-effective and accurate solution that enhances user interactivity and presence within the Metaverse. The implications of this work extend beyond immediate interaction benefits, setting a precedent for future immersive and inclusive Metaverse experiences. Future work will focus on expanding the framework's capacity for larger user interactions and incorporating richer features such as nuanced facial and gesture recognition to deliver fully expressive avatars, thereby elevating the Metaverse experience.

关键词： AI Model Metaverse Avatar Synthesis System Pose Reconstruction Monocular Camera Digital Twins Shared control

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Arduino-Powered Sonar Radar MOKSH: Design, Implementation, and Applications 1

Arduino-Powered Sonar Radar MOKSH: Design, Implementation, a...

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1st international conference on advanced Computing and Emerging Technologies, ACET 2024

作者： Seejal, Seejal Kumar, Harish Taluja, Anuradha Gandotra, Ekta Gupta, P.K. Computer Science and Engineering Jaypee University of Information Technology Himachal India Computer Science and Engineering Sdgi University Ghaziabad India Computer Science and Engineering Aktu Lucknow Ghaziabad India Computer Science and Engineering Jaypee University of Information Technology India Computer Science and Engineering Mohan Babu University Tirupati India

ISBN: (纸本)9798350367720

The Arduino-controlled radar systems constituting the fundamental elements of this RADAR system, an ultrasonic sensor and servo motor are employed. The fundamental operation of the system is to detect objects within the range specified. Attached to the servo motor is an ultrasonic sensor that rotates approximately 180 degrees and provides a graphical representation on the processing IDE software. In addition to providing a graphical representation, the Processing IDE also provides the object's angle, position, and distance. The administration of this system is facilitated by Arduino. The Arduino UNO board is adequate for both interface development and ultrasonic sensor and display device control. We learned about extant navigation and obstacle detection innovations as well as various systems that make efficient use of ultrasonic sensors through our research. This RADAR system is primarily utilized in the fields of object identification, mapping, surveillance, and monitoring, in addition to navigation and positioning. Additionally, these low-cost systems are appropriate for implementation indoors. © 2024 IEEE.

关键词： Ultrasonic sensors

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