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检索条件"任意字段=IEEE 4th International Conference on Intelligent Computer Communication and Processing"

共 5812 条记录，以下是41-50 订阅

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Improved Sine-cosine Algorithm for Achievable Rate Maximization in IRS Assisted Indoor VLC Systems 4

Improved Sine-cosine Algorithm for Achievable Rate Maximizat...

引用

4th international conference on computer Science, Electronic Information Engineering and intelligent Control Technology, CEI 2024

作者： Shi, Hanyang Xu, Chen Zhao, Yan Liu, Kanghui Information and Communication Engineering Hainan University Haikou China

ISBN: (纸本)9798350378542

intelligent reflecting surface (IRS) based on the mirror array is regarded as an effective way to increase the stability of indoor visible light communication (VLC) links, which can combat the blocking problem of line of sight (LoS) link and improve the systems achievable communication rate. the achievable rate maximization problem that mirror array based IRS assisted indoor VLC systems is a highly non-convex optimization problem. We propose an improved Sine cosine Algorithm (SCA) to solve the achievable rate maximization problem in which the practical random position state information of the users and the access point (AP) is considered. We propose a two-step iterative strategy for the improved SCA. In the first stage of iteration, the control mechanism of random parameters is improved to adjust the algorithm ability in the search. In the second stage of iteration, a fast search and comparison mechanism is introduced, which can avoid the improved SCA to get a local optimal solution. the simulation shows that the improved SCA is superior to the traditional SCA in convergence and efficiency. © 2024 ieee.

关键词： Mirrors

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AA-COMT: An AI-Driven AR System for communication Operation and Maintenance Training 4

AA-COMT: An AI-Driven AR System for Communication Operation ...

引用

4th international conference on intelligent Power and Systems, ICIPS 2024

作者： Zhao, Xiaojing Zheng, Sheng Wang, Lei Wu, Yangyang Zhao, Jinglong Guo, Yuanshan State Grid Henan Information and Telecommunication Company Zhengzhou China

ISBN: (纸本)9798331532765

Traditional communication operation and maintenance training (COMT) in power grids follows a unified lecture-tutorial mode. Despite the detailed teaching contents, it is of limited interactivity and authenticity. Augmented reality (AR) is to enhance interactivity and engagement but suffers from poor adaptation to dynamic scenarios, limited flexibility, etc. In this paper, we combine artificial intelligence with AR to realize 3D modeling, dynamic scene understanding, and flexible human-computer interaction, named AA-COMT. through virtualizing various training contents to AR, the designed and built system effectively improves training immersion and authenticity, ensuring high-quality communication operation and maintenance training. More importantly, AA-COMT is highly applicable to other scenarios by revising training content. © 2024 ieee.

关键词： Scheduled maintenance

来源：评论

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Water Quality Analysis and Prediction of Potability 4

Water Quality Analysis and Prediction of Potability

引用

4th ieee international conference on Applied Electromagnetics, Signal processing, and communication, AESPC 2024

作者： Mohapatra, Aditya Kumar Kumar, Pratyush Samantara, Sourav Jena, Junali Jasmine Dash, Adyasha Darshana, Subhashree School of Computer Engineering KIIT University Bhubaneswar751024 India

ISBN: (纸本)9798331528171

this study delves into an extensive analysis of water quality parameters from diverse sources, aiming to develop predictive models for assessing water potability. Encompassing various physicochemical and microbiological factors, the research utilizes statistical and analytical methods to discern temporal trends and spatial patterns. Employing machine learning algorithms trained on historical data, these models incorporate meteorological and hydrological variables to accurately predict water potability, offering valuable insights for efficient water resource management and public health enhancement. © 2024 ieee.

关键词： Prediction models

来源：评论

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Research on fault information fusion and intelligent processing of wind farm secondary system 4

Research on fault information fusion and intelligent process...

引用

4th ieee international conference on Electronic Technology, communication and Information, ICETCI 2024

作者： Xueliang, Wang Anlu, Jiang Junwei, Zhang Ji, Zhao Wei, Yang Huaneng Power International Co. Ltd. Anhui Wind Power Branch Hefei China

ISBN: (纸本)9798350361643

In view of the complexity and high failure rate of secondary systems in modern wind farms, this paper discusses a new fault information fusion and intelligent processing strategy. Based on the structure and common fault types of wind farm secondary system, the characteristics and interrelationship of various fault information are described in detail. On this basis, an intelligent fault diagnosis model based on deep learning is constructed. the algorithm uses advanced data fusion technology to extract key fault features and effectively suppress noise interference and redundant information. By training the model to identify and classify fault modes, various fault sources in the secondary system can be accurately located in real time. In addition, this study also explores the relevant methods of fault prediction and health status assessment, aiming to improve the stability and reliability of wind farm secondary systems through comprehensive analysis of historical data and real-time monitoring information. the experimental part shows the application effect of the proposed method in actual wind farm cases, and verifies its superior performance in fault detection accuracy, processing timeliness and decision-making effectiveness, so as to provide a strong technical support for the intelligent operation and maintenance of wind farms. this study not only enriches the theoretical system of intelligent fault handling of wind farm secondary system, but also opens up new ideas for intelligent monitoring and maintenance practice in the future clean energy field. © 2024 ieee.

关键词： Wind power

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A Joint Tactical Information Distribution System Signal Detection Method Based on Multi-level Channelization and Channel Selection 4

A Joint Tactical Information Distribution System Signal Dete...

引用

4th international conference on Electronic Information Engineering and computer communication, EIECC 2024

作者： Liu, Yiheng Feng, Hui Jiang, Li Jin, Hu National University of Defense Technology Nudt College of Electronic Countermeasures Hefei China

ISBN: (纸本)9798331534622

In order to detect the signals of the Joint Tactical Information Distribution System (JTIDS), a efficient multi-level channelization processing method was designed based on the existing channelized reception. By dividing the channels in the channelization model into two levels, the requirement of frequency interval of JTIDS signals was met, and the computational complexity was reduced. When performing threshold detection, the channel selection algorithm based on peak detection solved the channel ambiguity problem caused by narrowband division in the channelized reception process, and improved the accuracy of detection results. © 2024 ieee.

关键词： channel fuzzy channelized receiver JTIDS multilevel processing peak detection

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Research on intelligent Decision-Making of Robots Based on Neural Network and Experience Playback 4

Research on Intelligent Decision-Making of Robots Based on N...

引用

4th ieee international conference on Electronic Technology, communication and Information, ICETCI 2024

作者： Wang, Zhiyu Southwest Jiaotong University SWJTU-Leeds Joint School Chengdu China

ISBN: (纸本)9798350361643

this study delves into the advancement of intelligent decision-making in robotics through the integration of deep learning technologies. With robotics becoming increasingly vital in industry, healthcare, and household settings, their adaptability and effectiveness in dynamic environments remain a challenge. Traditional rule-based decision systems are limited by their rigidity and inability to cope with unforeseen scenarios. the advent of deep learning, offering promising avenues in image recognition, speech recognition, and natural language processing, proposes a novel approach to robotics decision-making. By employing deep learning models, robots can autonomously learn and optimize their actions, enhancing their performance in complex settings. this research explores the application of deep reinforcement learning, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) in improving robotic perception, decision-making, and actions. Our findings aim to extend the applicability of deep learning in robotics, contributing to the design and implementation of future intelligent robotic systems. © 2024 ieee.

关键词： Decision making

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Deep Learning Based Motion Target Detection Algorithm 4

Deep Learning Based Motion Target Detection Algorithm

引用

4th ieee international conference on Power, Electronics and computer Applications, ICPECA 2024

作者： Wang, Xizhou School of Information Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9798350359589

With the dramatic growth of video data, the storage and computational resources required to process this huge amount of data have increased significantly. In order to cope with this challenge, it is necessary to extract the key information in the video in a more intelligent and efficient way, while filtering out a large amount of redundant content. In this paper, the traditional CNN model and Transformer model are constructed respectively using video frames of car motion process from video viewpoint as a dataset. the model performance is improved by advanced data preprocessing operations. the bilateral filtering technique is introduced in this study, aiming to improve the image quality and enhance the image processing effect through denoising operations, making it more applicable to the subsequent processing steps. Finally, the Transformer model is verified by the model and the recognition accuracy of the Transformer model is up to about 90%. © 2024 ieee.

关键词： Convolutional neural networks Deep learning Image processing Target detection

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Research on intelligent Supply Chain Management System Based on computer Blockchain 4

Research on Intelligent Supply Chain Management System Based...

引用

4th ieee international conference on Power, Electronics and computer Applications, ICPECA 2024

作者： Li, Ming Wu, Ji Fang, Yuan Gong, Shuai Zhang, Liang Zhang, Yichao State Grid Anhui Electric Power Co. Ltd. Information and Communication Branch Hefei China

ISBN: (纸本)9798350359589

this paper studies the application of blockchain-based smart contracts in power grids. the access method of IPFS hash addressing can enable all kinds of users in the power system to access according to their own rights. A grid supply chain information management platform has ability to handle different types of information with trust. Trusted information sharing can be guaranteed within the scope of complete security and transparency. this paper studies the data block generation method in the energy information fusion system. A message passing method based on intra-node queue generated by blocks is proposed to improve the rate of data block construction in information fusion system. the integration of the characteristics of the privacy blockchain with attribute authentication technology ensures the real-time transmission and storage of information. the proposed method is tested by 5 ieee standard examples. Experiments show that the proposed method greatly reduces the speed of data block construction and improves the transmission efficiency of the system. © 2024 ieee.

关键词： Blockchain blockchain generation algorithms data capture supply chain

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Automated Electrostatic Powder Spraying Equipment based on PLC 4

Automated Electrostatic Powder Spraying Equipment based on P...

引用

4th international conference on Electronic Information Engineering and computer Science, EIECS 2024

作者： Liang, Jiyi Luo, Binhao Liang, Jiajie Intelligent Manufacturing and Equipment College Jiangmen Polytechnic Jiangmen China Intelligent Manufacturing and Equipment College Civil Aviation Flight University of China Mianyang China

ISBN: (纸本)9798331531409

the powder spraying machine adopts Mitsubishi PLC, touch screen, wireless server CMT-SVR-200 and other components for upper and lower computer control. through mobile phones or touch screens, the powder spraying furnace temperature, powder spraying amount, fluidization gas amount, atomization gas amount, spray gun cleaning gas amount, and the size of high-voltage current and voltage are controlled for powder spraying debugging and processing. According to the spraying requirements of metal products with different materials, up to 30 different product combination processing parameters can be preset and edited, and input into the PLC register through touch screen or mobile phone. When powder spraying processing, simply select the corresponding product parameter program, and the PLC program can adjust the preset 7 processing parameters to improve the efficiency of product spraying. © 2024 ieee.

关键词： Touch screens

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A Review on the Importance of Internet of things in Agriculture Applications 4

A Review on the Importance of Internet of Things in Agricult...

引用

4th ieee international conference on Computing, communication, and intelligent Systems, ICCCIS 2023

作者： Painuly, Sakshi Rana, Samir School of Computing Graphic Era Hill University Dehradun India Graphic Era Hill University Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350306118

the Internet of things (IoT) is an interconnected set of devices that interact with one another over wired or wireless networks. IoT is an invaluable tool and can be used to improve crop yield throughout the year. the Internet of things (IoT) has sparked a slew of new applications in various fields. Due to increased efficiency and scalability, the recent push to use IoT technologies benefits the agriculture sector significantly. In this study, we examine the concerns and challenges of IoT techniques, alternative IoT topologies, connectivity, middleware, and data processing technologies. Furthermore, the applications of IoT realm of agriculture are studied. © 2023 ieee.

关键词： Wireless sensor networks

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