检索结果-内蒙古大学图书馆

Dipper Throated Algorithm for Feature Selection and Classification in Electrocardiogram

Computer Systems Science & engineering 2023年第5期45卷 1469-1482页

作者： Doaa Sami Khafaga Amel Ali Alhussan Abdelaziz A.Abdelhamid Abdelhameed Ibrahim Mohamed Saber El-Sayed M.El-kenawy Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science Faculty of Computer and Information SciencesAin Shams University11566CairoEgypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Electronics and Communications Engineering Department Faculty of EngineeringDelta University for Science and TechnologyMansouraEgypt Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Arrhythmia has been classified using a variety of *** of the dynamic nature of electrocardiogram(ECG)data,traditional handcrafted approaches are difficult to execute,making the machine learning(ML)solutions more *** with cardiac arrhythmias can benefit from competent monitoring to save their *** arrhythmia classification and prediction have greatly improved in recent *** are a category of conditions in which the heart's electrical activity is abnormally rapid or *** year,it is one of the main reasons of mortality for both men and women,*** the classification of arrhythmias,this work proposes a novel technique based on optimized feature selection and optimized K-nearest neighbors(KNN)*** proposed method makes advantage of the UCI repository,which has a 279-attribute high-dimensional cardiac arrhythmia *** proposed approach is based on dividing cardiac arrhythmia patients into 16 groups based on the electrocardiography dataset’s *** purpose is to design an efficient intelligent system employing the dipper throated optimization method to categorize cardiac arrhythmia *** method of comprehensive arrhythmia classification outperforms earlier methods presented in the *** achieved classification accuracy using the proposed approach is 99.8%.

关键词： Feature selection electrocardiogram metaheuristics dipper throated algorithm

来源：评论

学校读者我要写书评

暂无评论

A Novel Convolutional Neural Network-Based Insulator Defect Detection Method for High-Voltage Transmission Lines 1

引用

19th International Conference of Intelligent Unmanned Systems, ICIUS 2023

作者： Zhang, Yulong Zhang, Youmin Mu, Lingxia Xue, Xianghong Huang, Jing Xie, Xuesong Xin, Jing Department of Information and Control Engineering Xi’an University of Technology Xi’an710048 China Department of Mechanical Industrial and Aerospace Engineering Concordia University MontrealH3G 1M8 Canada

ISBN: (数字)9789819765911

ISBN: (纸本)9789819765904

Missing or defect of insulators in high-voltage transmission lines can lead to critical fault of the entire transmission system. The traditional manual patrol method is too inefficient to meet the actual detection needs. Insulator condition monitoring and defect detection of high-voltage transmission lines based on aerial images from unmanned aerial vehicles (UAVs) has been widely investigated. In this paper, an insulator defect detection method based on deep learning technology is proposed using UAVs in high-voltage transmission lines. A staged feature extractor based on the reuse of convolutional feature layers by combining a multiscale feature fusion network is developed. The reuse of convolutional feature layers can reduce the number of channels in the feature map, thus reducing the number of parameters and running faster. Meanwhile, the semantic features can be better extracted by using the features of different receptive fields. The results of training and testing on the Chinese Power Line Insulator Dataset show that our method has higher detection accuracy. The experimental results show that the method proposed in the paper satisfies the insulator defect detection in high-voltage transmission lines, and dramatically improves the detection efficiency comparing with existing methods. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Unmanned aerial vehicles (UAV)

来源：评论

学校读者我要写书评

暂无评论

Utilizing Text Mining to Extract Critical Indicators for Wetland Health Evaluation 15th

Utilizing Text Mining to Extract Critical Indicators for Wet...

引用

15th International Conference on Computer Science and its Applications, CSA 2023 and 17th KIPS International Conference on Ubiquitous information Technologies and Applications, CUTE 2023

作者： Chen, Lan Ni, Guoqing Lu, Shaoyu Novianto, Didit Liu, Chao School of Environmental and Municipal Engineering Qingdao University of Technology Qingdao266520 China School of Information and Control Engineering Qingdao University of Technology Qingdao266520 China Department of Architecture Sepuluh Nopember Institute of Technology Sukolilo Campus Surabaya60111 Indonesia

ISBN: (纸本)9789819724468

Wetland is one of the important ecological systems of the earth, it boasts necessary functions, such as, regulating climate, water supply, purifying water, protecting biodiversity and others. Nowadays, wetland health assessment has become a major direction in wetland research, so the optimization of wetland evaluation is significant for sustainable global development. However, most wetland assessments don’t have agreed indicators and criteria. So, this study aims to use data mining technology to explore the major factors related to relationships about evaluation. Web of Science, EI, Scopus are used to search for training samples, the topic word was "wetland health", finally 100 articles were selected. These articles compose a corpus which is the basis for text mining. The study mains to apply the online data and web-based text mining technique is proposed to evaluate wetland health status and explore new ideas for wetland health evaluation. Results show that "groundw", "people", soil, policy and so on are important and can be called key words. Then, these key words can be used as indicators and they can provide data to the further study. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Wetlands

来源：评论

学校读者我要写书评

暂无评论

Reconfigurable Feed Network For Multi-Polar Antennas

Reconfigurable Feed Network For Multi-Polar Antennas

引用

2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Shi, Fengyuan Chen, Juan Xu, Wenjing Yang, Jianfeng Tan, Jing School of Information and Communication Engineering Xi'an Jiaotong University Xi'an China School of Information and Control Engineering Xi'an University of Architecture and Technology Xi'an China Shanghai Aerospace Electronic Technology Institute Department of Antenna Shanghai China

ISBN: (纸本)9781733509657

A reconfigurable feed network for multi-polar antennas is proposed in this article. It uses PIN diodes to make reconfigurable structure and change the output. The network can produce four kinds of output signal with only one input port. It has four output ports with specific phase delay, which uses differential-feed to suppress cross polarization. The simulated results show that the operating frequency range of the feed network is about 2.5-3.5 GHz with good matching and isolation performance. The variable polarization and wide band make it be a good choice for late-model multi-polar antennas with both linear and circular polarization. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Antenna feeders

来源：评论

学校读者我要写书评

暂无评论

Distracted driving behaviour recognition based on transfer learning and model fusion

引用

International Journal of Wireless and Mobile Computing 2023年第2期24卷 159-168页

作者： Luo, Guantai Xiao, Wanghui Chen, Xinwei Tao, Jin Zhang, Chentao -HIT Research Institute of Engineering and Technology Quanzhou Fujian China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou Fujian China Department of Instrumental and Electrical Engineering Xiamen University Fujian Xiamen China

In the recognition of distracted driving behaviour, traditional manual feature extraction is subjective and complex;single deep convolutional network also has problems such as insufficient generalisation performance and stability. To solve the above problems, this paper proposes a distracted driving behaviour recognition method based on transfer learning and model fusion. First, based on the transfer learning method, the deep convolutional neural network models ResNet18 and ResNet34 are used to extract the features of some images, respectively. Furthermore, the pre-trained model is fine-tuned to obtain four deep convolutional neural network models. Finally, the four network models are fused by stacking method, using 5-fold cross-validation method to reduce over-fitting. Experimental results show that the recognition accuracy of distracted driving behaviour after model fusion reaches 95.47%. The fusion model has higher model generalisation performance and recognition accuracy, which can provide certain technical support for the research of distracted driving behaviour recognition. © 2023 Inderscience Enterprises Ltd.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Underwater arbitrary ranging based on chirped pulse interferometry with a mode-locked laser

引用

Journal of Lightwave technology 2025年第11期43卷 5235-5243页

作者： Shi, Haonan Zhao, Haihan Xu, Xinyang Zhu, Zhiwei Zhai, Jingsheng Li, Xiaobo Tianjin University School of Marine Science and Technology Tianjin300072 China Research Institute of China Electronics Technology Group Corporation Science and Technology on Electro-Optical Information Security Control Laboratory No. 53 Tianjin300308 China The Chinese University of Hong Kong Department of Mechanical and Automation Engineering Hong Kong999077 Hong Kong Nanjing University of Aeronautics and Astronautics Key Laboratory of Space Photoelectric Detection and Perception Ministry of Industry and Information Technology Nanjing211106 China

Underwater distance measurement and length sensing, as fundamental functions of geoscience, are integrated into underwater robots and vessels in various forms of sensor payloads and play a crucial role in a wide range of remote sensing applications. Advanced laser-based detection systems and algorithms are essential for underwater tasks, such as detecting damage in underwater pipelines and conducting detailed structural health assessments. In this paper, we experimentally demonstrated an arbitrary underwater ranging system by the chirped pulse interferometry with a mode-locked laser. Water's inherent characteristic introduces dispersion, enabling unique distance discrimination. Adjusting the repetition frequency allows us to acquire the interference spectrum. A long fiber delay line, stabilized by the servo-controlled system, eliminates the ranging dead zone. The widest fringe of the interference spectrum, corresponding to an instantaneous repetition frequency, indicates the arbitrary measured distance. Leveraging a charge-coupled device detection module, we achieved an update rate of 13.5 Hz for the interference spectrum. Experimental results show a precise distance difference within 59.8 μm at the 5 m range underwater without the dead zone. © 2025 IEEE. All rights reserved.

关键词： Laser mode locking

来源：评论

学校读者我要写书评

暂无评论

Pointer Meter Reading under Noise Based on Virtual Data Generation

Pointer Meter Reading under Noise Based on Virtual Data Gene...

引用

2024 China Automation Congress, CAC 2024

作者： Zhu, Jinyang Xu, Zhezhuang Lin, Ye College of Electrical Engineering and Automation Fuzhou University Key Laboratory of Industrial Automation Control Technology and Information Processing Education Department of Fujian Province Fuzhou350000 China

ISBN: (纸本)9798350368604

Using machine vision for meter reading significantly enhances the efficiency of industrial monitoring. However, meters in outdoor environment are often subject to the noise such as rain and fog, which affect the accuracy of meter readings. Additionally, the meter images and labels under noise are hard to obtain. To address these challenges, We propose a method for pointer meter reading under noise based on virtual data generation. Firstly, We utilize Unity to construct an industrial meter scene, which generates the images of meter under noise and theri labels. Secondly, we develop a U-Net network with an ASPP module, which expands the receptive field of network and enhances the ability of segmentation network to capture global semantic information under noise. Finally, the angular method is used to calculate the meter readings. Experimental results show that this method can effectively read meters under noise in outdoor environments. © 2024 IEEE.

关键词： Virtual addresses

来源：评论

学校读者我要写书评

暂无评论

Prediction of the Navigation Angles Using Random Forest Algorithm and Real Flight Data of UAVs 20

Prediction of the Navigation Angles Using Random Forest Algo...

引用

20th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, SISY 2022

作者： Al-Sudany, Huda Naji Lantos, Bela Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (纸本)9781665489881

Unmanned aerial vehicles (UAVs) are becoming more common in aviation. Predicting and estimating of UAV attitude are important aspects of the communication strategy. Autonomous UAVs' attitude estimate is a crucial component for controlling in flight mission. The attitude can take many forms such as Euler angles and Quaternion. This paper explains attitude estimation of UAV using Random Forest (RF) algorithm based on real flight data of Accelerations, Angular velocity, Magnetic Field, and GPS measurements for prediction current attitude angles (roll, pitch and yaw). The developed algorithm uses features that are derives from sensors measurements. The developed RF model results showed accurate prediction of UAVs attitude angles with small error values. © 2022 IEEE.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Quaternion based attitude control of a maneuvering fixed wing UAV 26

Quaternion based attitude control of a maneuvering fixed win...

引用

26th IEEE International Conference on Intelligent engineering Systems, INES 2022

作者： Kimathi, Stephen Lantos, Bela Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (数字)9781665492096

ISBN: (纸本)9781665492096

This paper presents attitude control using the unit quaternion. Specifically, the orientation of a maneuvering fixed wing U A V is investigated through set point tracking. Two formulations are explored;the first, through quaternion error dynamics and the second, through quaternion logarithm. Both methods apply appropriate Lyapunov functions for the design and analysis of the closed stability of the control laws. The error dynamics are deduced from composite rotations between different frames of the UA V. Through the error dynamics, the orientation of the UAV's wind frame is aligned to a desired orientation. Using this procedure, the desired equilibrium points of the closed system are guaranteed to converge and are asymptotically stable. The formulation and implementation of these two methods is simple and intuitive, and through simulations, their successful use and effectiveness is shown. © 2022 IEEE.

关键词： Fixed wings

来源：评论

学校读者我要写书评

暂无评论

Unmanned Aerial Vehicles Swarm Flocking Architectures: An Overview 10

Unmanned Aerial Vehicles Swarm Flocking Architectures: An Ov...

引用

10th IEEE Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems, ICCC 2022

作者： Kimathi, Stephen Lantos, Béla Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Control Engineering and Information Technology Budapest Hungary

ISBN: (数字)9781665481779

ISBN: (纸本)9781665481779

The eruption of unmanned aerial vehicles (UAVs) use has disrupted the aviation industry. More recently, swarming in UAVs has been gaining popularity and has attracted a huge interest from researchers and industry players due to their potential application in various fields. A UAV swarm, which is a collection of many UAVs has the capability of autonomous navigation and operation hence suitable for diverse applications. The capabilities inherent in a single UAV are expounded by having many such vehicles performing similar or differentiated tasks while flying together. The potential of UAV swarms is yet to be fully explored as many researches are still concerned with the theoretic specifics of these complex multi-agent systems. The purpose of this article is to provide an overview of the swarm flocking architectures used in UAVs and their origin. Also some applications and challenges of swarming in UAVs is presented. © 2022 IEEE.

关键词： Multi agent systems

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：