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Carrier Tracking Loop Control for GNSS Signals Based on Error-Based ADRC 4

Carrier Tracking Loop Control for GNSS Signals Based on Erro...

引用

4th international conference on computer Science, Electronic Information engineering and Intelligent Control Technology, CEI 2024

作者： Li, Xiangyang Zhuo, Tongxing Bai, Jianer Yu, Zhuliang School of Automation Science and Engineering South China University of Technology Guangdong China

ISBN: (纸本)9798350378542

Global Navigation Satellite System (GNSS) provides a wide range of services. In highly dynamic environments, satellite signals are often corrupted by noise during transmission, and thermal noise in the receiver introduces additional errors. To mitigate the effects of Doppler shift and noise in the tracking loop and achieve accurate and stable tracking of satellite navigation signals, this paper investigates the signal tracking loop of GNSS receivers. An error-based Active Disturbance Rejection Control (ADRC) loop filter is utilized, and a method for dynamically adjusting the bandwidth of the Linear Extended State Observer (LESO) is proposed. This method enhances the robustness and flexibility of the control system, thereby improving tracking accuracy and anti-interference capability in GNSS applications. The proposed method was tested on a simulation platform, demonstrating a low tracking error standard deviation under the same carrier-to-noise ratio (C/N0) conditions and strong tracking performance in highly dynamic environments, including accurate prediction of Doppler shifts. Experimental results validate the algorithm's effectiveness and robustness. © 2024 IEEE.

关键词： Disturbance rejection

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Effect of the transmission component clearance on the dynamic behavior of the converter tilt system 9

Effect of the transmission component clearance on the dynami...

引用

9th international conference on Mechanical engineering, Materials, and automation Technology, MMEAT 2023

作者： Guan, Likun Li, Shengze Ren, Xueping Liu, Tongtong School of Mechanical Engineering Inner Mongolia University of Science and Technology Inner Mongolia Baotou014010 China

ISBN: (纸本)9781510668584

The tilt system is the key part of the converter steelmaking, its function is to ensure the furnace can stop at any Angle. Due to the problem of excessive gear engagement gap between frequent starting and braking and positive and negative transfer, the impact force of the transmission parts is too large. This paper evaluates the dynamic impact on the transmission system. According to the center distance between the two gears, the gear engagement gap is 0.548mm to 1.083mm. Comparing the simulation of several different gear engagement gap values by ADAMS software, we shows that the contact force of the small gear and the engagement force of the gear engagement gap is proportional to the added value of the gear contact force. When the engagement gap exceeds 1.083mm, the contact force changes more significantly or even by an order of magnitude. © 2023 SPIE.

关键词： computer software

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Text implication recognition with multiround and multi-interaction inference mechanism based on deep learning 3

Text implication recognition with multiround and multi-inter...

引用

3rd international conference on Electronic Information engineering, Big Data, and computer Technology, EIBDCT 2024

作者： Zhu, Jinyu Zhao, Huimin Deng, Wu College of Electronic Information and Automation Civil Aviation University of China Tianjin China

ISBN: (纸本)9781510680449

As a basic subtask in natural language processing, text enunciation recognition aims at determining the enunciation relationship between presupposition and hypothesis. At present, most deep learning text sensitivity models use single interaction and single inference to process the semantic features of the text, which is not sufficient and comprehensive for semantic mining of Chinese text. Therefore, a multi-round and multi-interaction inference model for Chinese text implication (MM-CIM) is developed in this paper. On the one hand, different mutual attention mechanisms are used for the premise and hypothesis to generate different interactive alignment semantic features to expand the model's exploration of text semantics. On the other hand, the coding features and mixed features of the premise and hypothesis are deduced in turn to deepen the model's exploration of text semantics. In addition, k-max pooling is introduced into the pooling part of the model to further expand the semantic mining ability of the model. The experimental results on Chinese text contained data show that all parts of the proposed model are optimized effectively and have better recognition effect than the basic model. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Semantics

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Application of computer Artificial Intelligence Technology in Image Processing Botany Control System of Mikania Micrantha

Application of Computer Artificial Intelligence Technology i...

引用

2023 IEEE international conference on Electrical, automation and computer engineering, ICEACE 2023

作者： Shuqiang, Li Wei, Chen University of Electronic Science and Technology of China Department of Mechanical and Electrical Engineering Zhongshan Institute Zhongshan Zhongshan China Industry Research Center Wonders Information Co. Ltd. Beijing China

ISBN: (纸本)9798350309614

The Nano-Hyperspec spectrometer was used to preprocess Mikania micrantha images, such as geometric correction, image denoising, radiation correction and bad band elimination. The optimal exponential coefficient method (OIF), adaptive band method (ABS), automatic subspace segmentation (ASP) combined with adaptive band selection method (ASP+ ABS) were used to screen the bands. In this way, the feature bands with relatively large information and low correlation between bands are obtained, and then three remote sensing images are formed. SVM algorithm was used to classify three different types of Mikania micrantha images, evaluate the recognition ability of three kinds of hyperspectral characteristics on Mikania Micrantha images, and screen out the hyperspectral characteristics that can better reflect Mikania Micrantha images. Micrantha Hyperspace was mapped in the study area, and the mapping accuracy was 79.62%. The user accuracy is 67.85%. The ABS spectral selection method was used to locate Micrantha Hyperspace, and the accuracy of mapping was 75.63%, and the accuracy of user was 67.96%. (ASP+ ABS) algorithm was 86.95%. The user accuracy is 92.65%. © 2023 IEEE.

关键词： artificial intelligence image processing mikania micrantha prevention and cure UAV

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Internet of Robots: An Open-source Framework for Cloud-Based Global Remote Control and Monitoring of Robots 6

Internet of Robots: An Open-source Framework for Cloud-Based...

引用

6th international conference on Robotics and automation in Industry, ICRAI 2024

作者： Raheel, Fabeha Raheel, Laibah Mehmood, Hassan Kadri, Muhammad Bilal Khan, Umar Shahbaz College of Electrical and Mechanical Engineering National University of Sciences and Technology Islamabad Pakistan Dawood Univesity of Engineering and Technology Karachi Pakistan College of Computer and Information Sciences Prince Sultan University Riyadh Saudi Arabia

ISBN: (纸本)9798350355703

With the growing prevalence of service robots across various sectors, there is a growing need to ensure seamless connectivity between robots and users from virtually anywhere in the world. This demand has driven extensive research over the past decade, leading to the emergence of innovative technologies such as the Internet of Robotic Things (IoRT) and Cloud Robotics. While various studies have proposed solutions to achieve global connectivity between robots and end-users, most existing approaches are tailored to specific robots, such as drones, or are designed for niche applications. Moreover, these solutions are often not open-source and limited in terms of scope, adaptability, scalability, and general usability. This research presents a comprehensive, practical approach for implementation of IoRT and cloud robotics which utilizes a three-level client-server architecture that includes a cloud server layer, robot client layer, and user client layer. Utilizing Django for application development hosted on AWS Cloud, the implementation demonstrates the potential of cloud robotics to provide real-time, bidirectional communication between robots and users over an infinite communication range. © 2024 IEEE.

关键词： Robot Operating System

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Logic Design of Neural Networks for High-Throughput and Low-Power Applications 24

Logic Design of Neural Networks for High-Throughput and Low-...

引用

29th Asia and South Pacific Design automation conference (ASP-DAC)

作者： Xu, Kangwei Zhang, Grace Li Schlichtmann, Ulf Li, Bing Tech Univ Munich TUM Chair Elect Design Automat Munich Germany Tech Univ Darmstadt Hardware Artificial Intelligence Grp Darmstadt Germany

ISBN: (纸本)9798350393545

Neural networks (NNs) have been successfully deployed in various fields. In NNs, a large number of multiply-accumulate (MAC) operations need to be performed. Most existing digital hardware platforms rely on parallel MAC units to accelerate these MAC operations. However, under a given area constraint, the number of MAC units in such platforms is limited, so MAC units have to be reused to perform MAC operations in a neural network. Accordingly, the throughput in generating classification results is not high, which prevents the application of traditional hardware platforms in extreme-throughput scenarios. Besides, the power consumption of such platforms is also high, mainly due to data movement. To overcome this challenge, in this paper, we propose to flatten and implement all the operations at neurons, e.g., MAC and ReLU, in a neural network with their corresponding logic circuits. To improve the throughput and reduce the power consumption of such logic designs, the weight values are embedded into the MAC units to simplify the logic, which can reduce the delay of the MAC units and the power consumption incurred by weight movement. The retiming technique is further used to improve the throughput of the logic circuits for neural networks. In addition, we propose a hardware-aware training method to reduce the area of logic designs of neural networks. Experimental results demonstrate that the proposed logic designs can achieve high throughput and low power consumption for several high-throughput applications.

关键词： computer circuits

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A Multi-Source Information Retrieval System for Question Answering with Sentiment Analysis and LLM Interpretation

A Multi-Source Information Retrieval System for Question Ans...

引用

2024 IEEE international conference on automation and Computation, AUTOCOM 2024

作者： Rawat, Priyanshu Mehta, Shreshtha Bajaj, Madhvan Saklani, Rishabh Purohit, Karan Manwal, Manika Graphic Era Hill University Computer Science and Engineering Uttarakhand Dehradun India Graphic Era Deemed to Be University Biotech Engineering Dehradun India

ISBN: (纸本)9798350382723

In the era of ubiquitous digital information, question-answering systems have become indispensable tools for accessing and extracting knowledge from vast datasets. This research explores the design, implementation, and evaluation of a question-answering system capable of processing user queries, retrieving information from diverse sources, and generating accurate responses. The study focuses on assessing system performance under three operational modes: offline alone, online alone, and combined (offline and online). A meticulously curated dataset comprising diverse user queries and corresponding ground truth answers forms the basis of the experimental evaluation. Performance metrics including response time, user satisfaction, and coverage are meticulously evaluated to gain insights into system functionality and efficacy across different operational paradigms. The findings highlight the significance of leveraging both offline and online data sources to optimize system performance, underscoring the importance of a balanced approach in designing intelligent question-answering systems. This research contributes to advancing the state-of-the-art in question-answering technology and lays the foundation for future developments aimed at enhancing information retrieval and knowledge extraction capabilities in various domains. © 2024 IEEE.

关键词： Information retrieval

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Remaining Useful Life Prediction of Aircraft Engines based on FA-SDAE-BiGRU 6

Remaining Useful Life Prediction of Aircraft Engines based o...

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6th international conference on computer Network, Electronic and automation, ICCNEA 2023

作者： Bai, Xiaojun Sun, Yunpeng Meng, Gong Xi'an Technological University School of Computer Science and Engineering Xi'an China Beijing Aerospace Automatic Control Institution Beijing China

ISBN: (纸本)9798350305388

Aiming at the problems of insufficient feature extraction and inaccurate prediction in existing aircraft engines remaining useful life prediction algorithms, a fusion model based on feature attention mechanism, stacked noise reduction autoencoder and bidirectional gated cycle units (BiGRU) was proposed. Firstly, weight is assigned to each sensor data of aircraft engine by the feature attention mechanism, and new weight data is obtained. Next, the stack noise reduction autoencoder is used to extract the weighted data. Then, bidirectional gated recurrent units are employed to predict the time series data and obtain the remaining useful life of the aircraft engine. To accurately select the hyperparameters of BiGRU, the Bayesian optimization algorithm is utilized for hyperparameter optimization. Finally, ablation experiments were conducted on the CMPASS dataset to validate the effectiveness of the proposed method, resulting in a root mean square error and score of 13.51 and 252.61, respectively. © 2023 IEEE.

关键词： Aircraft engines

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AFRLNet: Adaptive-context Feature Representation Learning for Facial Expressions recognition via Transformers 4

AFRLNet: Adaptive-context Feature Representation Learning fo...

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4th international conference on Electronic Information engineering and computer Communication, EIECC 2024

作者： Liu, Xionghua He, Lulu Liu, Tingting Liu, Hai He, Dingxin Huazhong University of Science and Technology School of Artificial Intelligence and Automation Wuhan China Wuhan Technology and Business University School of Computer Science and Automation Wuhan China

ISBN: (纸本)9798331534622

Facial expression recognition (FER) is a critical task in intelligent educational technologies, enabling adaptive learning environments to respond to learners' emotional states and support more personalized instruction. This article introduces AFRLNet, a novel FER framework that integrates convolutional neural networks (CNNs) and transformer architectures to enhance the identification and interpretation of student facial expressions. The proposed framework includes two key components: ContextAware Local Feature Learning (CALL) and Adaptive Feature Relationship Induction (AFRI). CALL leverages attention mechanisms to emphasize symmetrical and contextually meaningful facial regions relevant to students' affective responses, while AFRI employs a Transformer-based approach to capture global features and model long-range dependencies, thus addressing challenges such as facial occlusions or varied head poses commonly found in classroom or remote learning settings. Extensive evaluations on the RAF-DB and KDEF datasets demonstrate that AFRLNet achieves state-of-the-art accuracy of 89.44% and 94.76%, respectively, surpassing existing methods. © 2024 IEEE.

关键词： Convolutional neural networks

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Collaborative Optimization Operation Strategy of Photovoltaic Community Leasing Energy Storage Based on Master-slave Game 8

Collaborative Optimization Operation Strategy of Photovoltai...

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8th international conference on Electrical, Mechanical and computer engineering, ICEMCE 2024

作者： Yao, Yujia Zou, Yang Shi, Songhao Fang, Menghong Huang, Yu Fuzhou University School of Electrical Engineering and Automation Fuzhou China

ISBN: (纸本)9798331506230

Along with the rapid development of user-side distributed power generation technology, it has become an important development trend to improve the reliability and economy of community energy use through the configuration of energy storage, and how to build a joint interaction mechanism of energy storage and user-side resource energy sharing has become a key direction of energy storage layout in the user side. Under the background of energy interconnection, this paper proposes a cooperative optimization operation strategy based on masterslave game for photovoltaic community leasing energy storage. Firstly, the overall operation framework of PV community leasing energy storage is introduced, and the functions of each interest subject are analyzed. Then, an optimization model is built for community integrated energy operator (ICEO), energy storage operator (ESO), and community load aggregator, respectively. The game relationship among the subjects is analyzed, and a master-multiple-slave game model is constructed with ICEO as the master and ESO and community load aggregator as the slaves. The simulation results show that the proposed method is conducive to the promotion of new energy consumption, effectively takes into account the interests of multiple subjects, and then realizes the win-win cooperation between PV community and energy storage. © 2024 IEEE.

关键词： Energy storage

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