检索结果-内蒙古大学图书馆

13th IEEE International Conference on CYBER Technology in Automation, control, and Intelligent Systems, CYBER 2023

作者： Feng, Zhenyu Su, Ming Zhou, Meihua Liu, Zhixin School of Electrical Engineering Yanshan University Qinhuangdao066004 China Training Center of Liren College Yanshan University China Key Lab of Industrial Computer Control Engineering of Hebei Province Hebei Province Qinhuangdao066004 China

ISBN: (纸本)9798350315196

In this paper, we integrate wireless powered communication networks (WPCNs) with cognitive radio networks (CRNs) in order to develop wireless powered CRNs (WP-CRNs). The hybrid access point (HAP) is used to broadcast radio-frequency signals to the devices at the downlink stage, and to receive information from these devices. The HAP has two antennas to achieve full-duplex: one is for downlink wireless power transfer and the other is for receiving uplink information transmission from the users simultaneously in the uplink. In the underlay paradigms. The SUs can harvest energy to transmit data when the interference to primary users (PUs) does not exceed a tolerable threshold. To tackle the above network issues, an optimal resource allocation method is proposed to maximize the secondary system uplink throughput. The optimization problem with respect to time and power allocation is formulated including the constraint of energy causality and interference level. The non-convex problem is transformed into an equivalent convex optimization problem, then the joint optimal power and time allocation (JOPTA) algorithm is presented to determine the optimal solutions. The effectiveness of the proposed algorithm is verified in the simulations. © 2023 IEEE.

关键词： Cognitive radio

来源：评论

学校读者我要写书评

暂无评论

Simulated Ising Annealing Algorithm with Gaussian Augmented Hamiltonian Monte Carlo 42

Simulated Ising Annealing Algorithm with Gaussian Augmented ...

引用

42nd Chinese control Conference, CCC 2023

作者： Li, Langyu Wang, Hao Xie, Zhixin Liu, Zixuan Cui, Wei Pan, Yu Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China School of Automation Science and Engineering South China University of Technology Guangzhou510641 China School of Mechanical Engineering and Automation Harbin Institude of Technology Shenzhen518055 China

ISBN: (纸本)9789887581543

A numerical technique called Simulated Ising Annealing (SIA) uses digital computers to obtain approximations of the ground states of Ising models. The quadratic unconstrained binary optimization (QUBO) problem in combinatorial optimization, which is challenging to solve through exhaustive search, has significant linkages to the Ising model. Therefore, SIA's main objective is to identify a better solution in finite iterations. In order to enhance the performance of the simulated annealing procedure, we adopt a Gaussian augmented Hamiltonian Monte Carlo (GAHMC) method in this study. We contrasted our algorithm with Gibbs sampling and local quantum annealing method. Finally, we discuss its application on QUBO problem. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Simulated annealing

来源：评论

学校读者我要写书评

暂无评论

Tire Defect Detection based on Non-Subsampled Shearlet Transform

Tire Defect Detection based on Non-Subsampled Shearlet Trans...

引用

第34届中国过程控制会议

作者： Yilin Wang Song Luo Yulong Zhang Jinshui Chen Jiangang Lu State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University Zhejiang Laboratory

In tire industry,defect detection by X-ray image is an important process to prevent tires with quality issues from entering the *** image processing methods are able to detect specific defects of tires due to being able to take full advantage of the prior knowledge of defect characteristics from human *** this paper,we adopt multiscale geometric transform technique and propose a tire defect detection algorithm based on Non-Subsampled Shearlet Transform(NSST).Experiments show that our algorithm achieves satisfactory detection *** introducing low-pass filtering and adaptive threshold segmentation,it's also able to fulfill quantitative detection of defect size,showing its application prospect in industrial scenes.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances 41

Robust PD-type iterative learning control design for uncerta...

引用

第41届中国控制会议

作者： Robert Maniarski Wojciech Paszke Shoulin Hao Hongfeng Tao Institute of Automation Electronic and Electrical EngineeringUniversity of Zielona Góra Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-batch error convergence and H disturbance attenuation are formulated and ***,the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix *** proposed control law is able to fulfil the imposed design specifications,i.e.,they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive *** illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.

关键词： iterative learning control repetitive processes batch processes robust control nonrepetitive disturbances

来源：评论

学校读者我要写书评

暂无评论

Constructing a Medical Domain Functional Knowledge Graph with Large Language Models

Constructing a Medical Domain Functional Knowledge Graph wit...

引用

IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

作者： Lintian Ji Shuxin Du Yi Qiu Hongyi Xu Xiaorui Guo Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems School of Engineering Huzhou University Huzhou China Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems School of Engineering Huzhou University Huzhou China

ISBN: (数字)9798350374315

ISBN: (纸本)9798350374322

The integration of medicine and artificial intelligence is creating novel opportunities to gather, analyze, and generate groundbreaking medical insights from the vast expanse of medical literature. Although these advancements hold great promise, difficulties including manual annotation and precise data retrieval, and transparency persist. Advanced natural language processing (NLP) techniques and large language models (LLMs) have shown potential in addressing these issues. This paper introduces the Medical Knowledge Graph (MedKG), a comprehensive and multidisciplinary medical knowledge graph. By utilizing advanced NLP algorithms, MedKG extracts millions of entities and converts them into triples from a corpus of superior medical research papers published over the last decade. It categorizes unstructured medical information into nine distinct tags, including disease names, treatments, diagnoses, symptoms, genetics, cellular structures of diseases, patient data, medical procedures, and treatment applications, while seamlessly integrating the digital object identifier (DOI) of each paper. As the latest structured database of medical knowledge, MedKG serves as a powerful tool for accelerating medical research and lays the groundwork for constructing a more extensive medical knowledge graph using full-text medical articles. Moreover, our research establishes a foundation for practical knowledge management systems based on text mining, applicable not only to complex medical systems but also to other professional domains.

关键词： Text mining Annotations Large language models Pipelines Knowledge graphs Prediction algorithms Natural language processing Object recognition Medical diagnostic imaging Diseases

来源：评论

学校读者我要写书评

暂无评论

Layer normalized OpenGAN framework for human intrusion activity recognition in a φ-OTDR optical fiber sensing system

引用

Optics Express 2025年第10期33卷 20272-20295页

作者： Zhou, Zhengxian Wang, Xiankun Xie, Tianchang Qu, Jun Shi, Jianping Zhang, Dawei Peng, Jiansheng Zhuang, Songlin Anhui Province Key Laboratory for Control and Applications of Optoelectronic Information Materials Anhui Normal University Wuhu241000 China School of Optical Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China School of Artificial Intelligence and Manufacturing Hechi University Guangxi546300 China

Distributed optical fiber vibration sensing systems (DVS) are widely employed in perimeter security for their high sensitivity, simplicity, and strong immunity to electromagnetic interference. However, these systems are facing with two serious challenges: accurately classifying closed-set signals (known events) and detecting open-set signals (unknown events). To address this, we propose an open-set recognition framework, ResEff-OpenGAN-LN. By integrating layer normalization into the OpenGAN architecture, this framework mitigates instability caused by input feature variations while leveraging ResEff for efficient feature extraction to enhance closed-set classification. Experimental results show that ResEff achieves 99.92% accuracy on closed-set tasks, and ResEff-OpenGAN-LN obtains an AUROC of 0.9900 with 96.63% overall accuracy on mixed datasets containing open-set and closed-set signals, validating its potential to improve intrusion detection and reduce false alarms. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Light interference

来源：评论

学校读者我要写书评

暂无评论

Extremum Seeking of Nonlinear Static Maps with Constant Delays via a Time-delay Approach∗ 63

Extremum Seeking of Nonlinear Static Maps with Constant Dela...

引用

63rd IEEE Conference on Decision and control, CDC 2024

作者： Li, Jianzhong Fridman, Emilia Su, Hongye Zhu, Yang Southwest University of Science and Technology School of Information Engineering Mianyang621010 China Zhejiang University College of Control Science and Engineering Hangzhou310027 China Tel-Aviv University School of Electrical Engineering Tel Aviv-Yafo6997801 Israel Zhejiang University College of Control Science and Engineering State Key Laboratory of Industrial Control Technology Hangzhou310027 China Zhejiang University Ningbo Innovation Center Ningbo315100 China

ISBN: (纸本)9798350316339

Extremum seeking (ES) is a real-time optimization strategy, thus transmission delays in the feedback loop of ES have big impact on its stability. How big delay that ES control systems are able to withstand? This paper tries to provide a potential answer to this problem. We extend a newly developed time-delay approach of ES from quadratic maps to general nonlinear maps under known constant transmission delays. The gradient-based ES in the case of single-variable and multivariable nonlinear static maps are considered. Different from the recent literature, the time-delay method in this paper is applicable to a big family of nonlinear static maps, and the robustness of ES control systems to transmission delays is investigated. By transforming the original ES system into a kind of time-delay system of neutral type, and further transforming the neutral system into a perturbed retarded system with constant delays, we provide simple Lyapunov-based sufficient conditions in the form of linear matrix inequalities (LMIs) to guarantee practical stability of the ES closed-loop system. © 2024 IEEE.

关键词： Delay control systems

来源：评论

学校读者我要写书评

暂无评论

Autonomous picking robot for elongated fruits and vegetables 3

Autonomous picking robot for elongated fruits and vegetables

引用

3rd International Conference on Electrical, Electronics, and Information engineering, EEIE 2024

作者： Gao, Yang Shuai, Wei Cui, Guowei Wu, Peichen Gan, Lin Chen, Xiaoping Guangdong Institute of Intelligent Manufacturing Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China Foshan Industrial Technology Research Institute Guangdong Academy of Sciences China School of Computer Science and Technology University of Science and Technology of China Hefei230026 China

ISBN: (纸本)9781510688179

This paper presents the design and implementation of an autonomous picking robot specifically for harvesting elongated fruits such as loofahs and bitter melons. The robot utilizes a tracked chassis to navigate field terrains, equipped with IMU and GNSS modules for navigation and positioning. Mounted on the chassis is a 6-degree-of-freedom robotic arm designed for picking actions, with a combination of a flexible gripper and electric scissors at its end to enhance picking efficiency and safety. Two RGBD cameras are used for global and local perception, while the YOLO model is employed for fruit recognition and localization. Experimental results demonstrate that the robot can complete a full picking cycle in an average of 20 seconds and temporarily store the harvested fruits in an onboard storage bin. Overall, this picking robot significantly reduces labor costs and improves the efficiency and quality of field operations and fruit harvesting. © The Authors.

关键词： Grippers

来源：评论

学校读者我要写书评

暂无评论

A Novel Multi-head Self-attention Long Short-Term Memory Fault Detection Method based on Spatial-temporal feature learning

A Novel Multi-head Self-attention Long Short-Term Memory Fau...

引用

第34届中国过程控制会议

作者： Yan Liu Zuhua Xu Jun Zhao Zhijiang Shao Chunyue Song State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang University

industrial process data shows the characteristics of large scale,high dimension,and strong correlation,which brings a big challenge for process fault *** this paper,a dynamic intelligent fault detection method based on multi-head self-attention and long short-term memory neural network(MSLSTM) is *** MSLSTM model accurately captures the spatial-temporal fault features by making full use of previous ***,the MSLSTM model adopts the multi-head self-attention mechanism to make the whole network structure not only pay attention to the global information,but also emphasize the local ***,the Tennessee Eastman process(TEP) case is utilized to verify the practicability and superiority of the proposed *** experimental results show that the MSLSTM method achieves better fault detection performance in comparison with other conventional methods for detection.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Remote Sensing Scene Classification with Multi-view Voting and Entropy Ranking 1

引用

4th International Conference on Machine Learning for Cyber Security, ML4CS 2022

作者： Wang, Jinyang Wang, Tao Gan, Min Hadjichristofi, George Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering and International Digital Economy College Minjiang University Fuzhou350108 China College of Computer and Data Science Fuzhou University Fuzhou350108 China Department of Computer Science and Engineering European University Cyprus Nicosia1516 Cyprus

ISBN: (数字)9783031200960

ISBN: (纸本)9783031200953

Deep convolutional neural networks have been widely used in scene classification of remotely sensed images. In this work, we propose a robust learning method for the task that is secure against partially incorrect categorization of images. Specifically, we remove and correct errors in the labels progressively by iterative multi-view voting and entropy ranking. At each time step, we first divide the training data into disjoint parts for separate training and voting. The unanimity in the voting reveals the correctness of the labels, so that we can train a strong model with only the images with unanimous votes. In addition, we adopt entropy as an effective measure for prediction uncertainty, in order to partially recover labeling errors by ranking and selection. We empirically demonstrate the superiority of the proposed method on the WHU-RS19 dataset and the AID dataset. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Entropy

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：