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检索条件"任意字段=Proceedings of the 3rd International Conference on Control and Computer Vision"

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Simulation Study of Vector control of Permanent Magnet Synchronous Motor with Fuzzy PI controller

Simulation Study of Vector Control of Permanent Magnet Synch...

引用

Software Engineering and Artificial Intelligence (SEAI), IEEE international conference on

作者： Yunfeng Zou Yanli Li Xin Dai Academy of Electronic and Information Engineering Jingchu University of Technology Jingmen China Academy of Information and Computer Engineering Jingchu University of Technology Jingmen China

There are several drawbacks to the traditional proportional-integral (PI) control of permanent magnet synchronous motors (PMSM), including its poor flexibility and heightened sensitivity to outside disturbances. To solve these problems, this paper uses a fuzzy PI controllers to augment the PMSM vector control model. Firstly, based on the mathematical model, the corresponding PI controller is established; on this basis, the fuzzy rules are used to adjust the parameters of the PI controller in real time for the defect that the parameters of the PI controller cannot be automatically adjusted in real time operation of the motor, which leads to poor dynamic characteristics. When compared to regular PI controllers, these fuzzy PI controllers improve the system’s anti-disturbance performance and control precision.

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LED Lighting Modern Furniture Decoration System with computer 3D Modeling Technology: A Review

LED Lighting Modern Furniture Decoration System with Compute...

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Data Science and computer Application (ICDSCA), IEEE international conference on

作者： Yu Zhicheng Shahriman Zainal Abidin Natrina Mariane P. Toyong College of Creative Arts Universiti Teknologi MARA Shah Alam Selangor Malaysia

A monitoring system of LED upholstery lights based on TCP/IP and DMX512 is a common feature. The objective of the paper is to describe a hardware circuit design of the device, and its main software process. The issue here is that lighting system of the LED street light is optimized from the perspectives of the light source of the street light, the control circuit, the optimal tilt angle of the battery components, and the volume size of the battery components and batteries. The review of the existing literature and systems is used as a methodology for the studies. The LED light can be turned on and off and the brightness can be adjusted according to the surrounding environmental conditions. The device can achieve wide dimming range, high power output, and good signal transmission performance. As a result, while ensuring smooth and reliable operation of the system, it reduces the size and cost of the system as much as possible.

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Collaborative Path Planning for Multi-UAVs by Evolutionary Computing 3rd

Collaborative Path Planning for Multi-UAVs by Evolutionary C...

引用

3rd international conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Jiang, Jun Tang, Xiaorui Sun, Guolin Department of Operation and Planning Naval University of Engineering Wuhan430033 China School of Computer Science and Engineering University of Electronic Science and Technology Chengdu611731 China

ISBN: (纸本)9789819710829

This paper addresses the challenges of path planning and cooperative control for multiple Unmanned Aerial Vehicles (UAVs) operating in large scale environments. Given the unique characteristics of large-scale environments, such as minimal terrain restrictions, vast monitoring scope, and a potentially high number of monitoring points, it becomes inherently difficult to effectively manage and optimize UAV operations over the large coverage are and the potential for a high number of target points. In response to this challenge, we propose an innovative UAV path planning strategy that capitalizes on the strengths of both evolutionary computing and clustering algorithms. As a first step, we propose an advanced version of the k-means algorithm to cluster multiple target points along the drone patrol route. This approach not only facilitates division of the extensive target area into manageable sections, but also aims to equalize the patrol distances for each UAV. This effort optimizes load balancing and boosts overall operational efficiency. Next, we implement a customized genetic algorithm to formulate an optimized path planning scheme for the UAVs, with a specific focus on the clustered sub-target points as derived from the k-means algorithm. The primary objective of our proposed scheme is to further minimize the differences in cruise path lengths among individual UAVs, thereby achieving load balancing and enhancing overall system efficiency. Simulation results demonstrate that our proposed k-means algorithm significantly improves load balancing during UAV trajectory planning. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Genetic algorithms

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Implementation of Customized Adaptive Algorithms for Visualization of Stereoscopic Face Mask

Implementation of Customized Adaptive Algorithms for Visuali...

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3rd IEEE international conference on Emerging Smart Computing and Informatics (IEEE-ESCI)

作者： Madhavan, Mangena Venu Malik, Rahul Lovely Profess Univ Phagwara Punjab India

ISBN: (纸本)9781728185194

computer vision and Image processing are some of the most important technical aspects in the domain of object detection and reconstruction. These concepts provide solutions not only restricted to the engineering domain but also across the various domains. In this article, the proposed framework mainly deals with the scenario of the generation of face masks in 3D view with the aid of selfie images using computer vision and image processing methodologies. The proposed framework consists of two kinds of algorithms that generate face mak with the aid of single and multiple images respectively. Those adaptive algorithms are discussed along with their implementation. The adaptive algorithm utilized for multiple image input names as MIIO3D and the adaptive algorithm for single image input named as SIIO3D implementation for the construction of an efficient 3D face mask. The input images considered are from real-time aspects. Data visualization and their comparisons made with the aid of Tableau.

关键词： computer vision Image Processing Feature Extraction Feature Detection Feature Matching point cloud Sfm (Structure from Motion) SAD (Sum of Absolute Differences) MATLAB Tableau Face Mask MIIO3D SIIO3D

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A New Approach for Optimal Management of Solar Energy Systems 3

A New Approach for Optimal Management of Solar Energy System...

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3rd international conference on Mathematics and Applied Science, ICMAS 2022

作者： Wabdan, Ahmed Ali Betti, Ahmad M. Hassoon, Zanaib K. Al-Fayyadh, Hayder Rahm Dakheel Natural Sciences Department Faculty of Basic Education University of Summer Thi-Qar Iraq Imam ja'Afar Al-Sadiq University Computer Engineering Techniques Iraq Ministry of Education Thi-Qar Education Iraq Computer Science Department Faculty of Computer Science and Information Technology University of Summer Thi-Qar Iraq

In this article, a solar-powered photovoltaic system offers a clean energy solution to this challenge;this system is rapidly developing worldwide. Solar energy is believed to be able to meet 2% of the world's energy requirements, and this system are designed to generate electricity for specific needs, The global development of solar systems, as well as indicators, prices and efficiency of these systems, especially in Iraq, was studied, and a model and integrated system was designed to feed one of the homes in Iraq. proposed Maximum Power Point Tracking (MPPT) control loop and using the best techniques Perturb and Observe (P&O) Algorithm extracting maximum power from PV module under different solar irradiation. Various scenarios involving environmental parameters such as temperature and radiation are presented to demonstrate the theoretical analysis, effectiveness and feasibility of the proposed energy management technique. © Published under licence by IOP Publishing Ltd.

关键词： Two term control systems

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Real-Time Hand Gesture Recognition for Device control: An OpenCV-Based Approach to Shape-Based Element Identification and Interaction

Real-Time Hand Gesture Recognition for Device Control: An Op...

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Technological Advancements in Computational Sciences (ICTACS), international conference on

作者： Nishant Kumar Hridey Dalal Aditya Ojha Abhinav Verma Mandeep Kaur Department of Computer Science & Engineering Sharda University Greater Noida India

A modern, inventive, and natural method of nonverbal communication is offered by a hand gesture recognition system. It can be used in many different contexts, including sign language and human-computer interaction. This implementation's objective is to discuss a novel method of hands gestures recognition based on the identification of certain shape-based elements. A single camera is used to record the user's gesture and feed it into the system. The development of a system that can recognise certain human gestures and use them to transfer data for device control is one of the main goals of gesture recognition. Real-time gesture recognition enables users to control computers by making certain gestures in front of a video monitor. The development of a system that can recognise certain human gestures and use them to communicate data for device control is one of the main objectives of gesture recognition A user can operate a computer by making a certain gesture in front of a video camera that is attached to it by implementing real-time gesture recognition. In this project, we'll build a hand gesture volume control system with the help of the OpenCV module. Here you can use hand gestures to operate the system without a keyboard or mouse.

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Designing a Graphics Processing Unit for 2D Rendering on FPGA for Educational Purpose

Designing a Graphics Processing Unit for 2D Rendering on FPG...

引用

international conference on Advancement in Electrical and Electronic Engineering (ICAEEE)

作者： Rupak Saha Nahin Ul Sadad Md. Nazrul Islam Mondal Dept. of Computer Science & Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

ISBN: (数字)9798350388282

ISBN: (纸本)9798350388299

In this paper, design and implementation of a 2D graphics processing hardware unit using FPGA for educational purpose is presented. We propose a more simple & minimalist GPU architecture, which is flexible and easy to understand than existing industrial GPUs. We present a platform for understanding GPU architecture by implementing of graphics algorithms on FPGA for students to use this in laboratories. Students can be benefited from this work as it can be used as a base understanding tool in terms of GPU architecture. It can also be extended to be used in cross disciplinary applications like 3D rendering, computer vision and signal processing visualisation. This research includes descriptions of hardware realization of 2D rasterization rendering algorithms. Hardware Description Language (HDL) called verilog is utilized in designing the architecture. Xilinx Vivado Design Suite software is used for FPGA implementation, targeting Artix 7 FPGA board, which allows users to comprehend the fundamental ideas of hardware design and their applications in graphics rendering.

关键词： Visualization Three-dimensional displays Heuristic algorithms Graphics processing units Signal processing algorithms computer architecture Rendering (computer graphics)

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Distributed Task Assignment Method for Multiple Robots Based on Dynamic Auction Rules

Distributed Task Assignment Method for Multiple Robots Based...

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Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Jiajie Xu Chinyin Chen Silu Chen Qiang Liu Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Zhejiang Key Laboratory of Robotics and Intelligent Manufacturing Equipment Technology Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo China

Existing researchs on multi-robots task assignment focus on improving the task assignment efficiency without considering the task execution time and ignoring the overall task completion efficiency, which leads to its low computational efficiency in dynamic task assignment scenarios. In addition, the use of a centralized control structure requires high communication quality between robots. To address the above issues, we propose a distributed task assignment method for multiple robots based on dynamic auction rules. The method uses distributed control of robot swarms to share and dynamically update each other's task sets, employs dynamic auction rules for task bidding, adds links to adjust the task execution order, and considers the overall task completion efficiency. Finally, relevant experiments are designed, and the experimental results show that the algorithm is more efficient in terms of distribution and stability, balancing higher execution efficiency and lower motion cost.

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Research on network intrusion response method based on Bayesian attack graph

Research on network intrusion response method based on Bayes...

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Consumer Electronics and computer Engineering (ICCECE), 2021 IEEE international conference on

作者： Fangfang Dang Xun Zhao Lijing Yan Kehe Wu Shuai Li Information Communication Company State Grid Henan Province Electric Power Company Henan China School of Control and Computer Engineering North China Electric Power University Beijing China

With the rapid development of computer networks, people's use of the Internet has become more and more common, and network security issues are becoming increasingly serious. Compared with intrusion detection, the development of intrusion response is slightly lagging behind. There are many devices for intrusion detection, alarm information is difficult to analyze and there are false alarms and isolated alarms, and many detection strategies require manual operation, which greatly increases the time cost and labor cost of intrusion response. In this paper, we propose an intrusion response method based on Bayesian attack graph, which effectively uses the alarm information and adopts the attack behavior prediction algorithm of Bayesian attack graph to block the attack path of network attacks for the uncertainty of attack events and enhance system security.

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COVID - Development of Mathematical Model for Transmission of Corona Virus and Analysis of Its Data 3

COVID - Development of Mathematical Model for Transmission o...

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3rd international conference on Advances in Computing, Communication control and Networking, ICAC3N 2021

作者： Das, Nripendra Narayan Kumar Sharma, Manoj Manipal University Department of Information Technology Rajasthan Jaipur303007 India Manipal University Department of Computer and Communication Engineering Rajasthan Jaipur303007 India

ISBN: (纸本)9781665438117

Coronavirus disease 2019 and 2020 (COVID-19), a newly emerged respiratory *** attention has been generated because of this unprecedented situation. An effective strategy need to be developed for controlling the COVID-19 pandemic must be developed which must be highly accurate methods SARS-CoV-2 infected cases[1]. It was provisionally named as 2019-nCoV, But now it has been renamed as SARS-CoV-2 according to the Coronavirus Study Group of the international Committee on Taxonomy of Viruses[2]. SARS-CoV-2 belongs to the Coronaviridae family. The novel coronavirus pneumonia is a highly regarded infectious disease worldwide [3]. During pandemic an appropriate clinical decision report must be produced to case in a very short period of time. Rational management of the immune responses to SARSCoV-2, which includes enhancing anti-viral immunity while inhibiting systemic inflammation, may be key to successful treatment. © 2021 IEEE.

关键词： Coronavirus

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