检索结果-内蒙古大学图书馆

An integrated micromachined flexible ultrasonicinductive sensor for pipe contaminant multiparameter detection

Microsystems & Nanoengineering 2024年第4期10卷 271-283页

作者： Zheng Yuan Xiaoyu Wu Zhikang Li Jiawei Yuan Yihe Zhao Zixuan Li Shaohui Qin Qi Ma Xuan Shi Zilong Zhao Jiazhu Li Shiwang Zhang Weixuan Jing Xiaozhang Wang Libo Zhao State Key Laboratory for Manufacturing Systems Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement TechnologiesXi’an Jiaotong University(Yantai)Research Institute for Intelligent Sensing Technology and SystemXi’an Jiaotong UniversityXi’an 710049China School of Mechanical Engineering Xi’an Jiaotong UniversityXi’an 710049China School of Instrument Science and Technology Xi’an Jiaotong UniversityXi’an 710049China Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 265503China

Pipe contaminant detection holds considerable importance within various industries,such as the aviation,maritime,medicine,and other pertinent *** capability is beneficial for forecasting equipment potential failures,ascertaining operational situations,timely maintenance,and lifespan ***,the majority of existing methods operate offline,and the detectable parameters online are relatively *** constraint hampers real-time on-site detection and comprehensive assessments of equipment *** address these challenges,this paper proposes a sensing method that integrates an ultrasonic unit and an electromagnetic inductive unit for the real-time detection of diverse contaminants and flow rates within a *** ultrasonic unit comprises a flexible transducer patch fabricated through micromachining technology,which can not only make installation easier but also focus the sound ***,the sensing unit incorporates three symmetrical solenoid *** a comprehensive analysis of ultrasonic and induction signals,the proposed method can be used to effectively discriminate magnetic metal particles(e.g.,iron),nonmagnetic metal particles(e.g.,copper),nonmetallic particles(e.g.,ceramics),and *** inclusive categorization encompasses nearly all types of contaminants that may be present in a ***,the fluid velocity can be determined through the ultrasonic Doppler frequency *** efficacy of the proposed detection principle has been validated by mathematical models and finite element *** contaminants with diverse velocities were systematically tested within a 14mm diameter *** experimental results demonstrate that the proposed sensor can effectively detect contaminants within the 0.5−3mm range,accurately distinguish contaminant types,and measure flow velocity.

关键词： inductive holds ultrasonic

来源：评论

学校读者我要写书评

暂无评论

Learning Rat-Like Behavior for a Small-Scale Biomimetic Robot

引用

Engineering 2022年第10期17卷 232-243页

作者： Zihang Gao Guanglu Jia Hongzhao Xie Qiang Huang Toshio Fukuda Qing Shi Key Laboratory of Biomimetic Robots and Systems(Beijing Institute of Technology) Ministry of EducationBeijing 100081China Intelligent Robotics Institute School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of TechnologyBeijing 100081China

Existing biomimetic robots can perform some basic rat-like movement primitives(MPs)and simple behavior with stiff combinations of these *** mimic typical rat behavior with high similarity,we propose parameterizing the behavior using a probabilistic model and movement ***,an analysis of fifteen 10 min video sequences revealed that an actual rat has six typical behaviors in the open field,and each kind of behavior contains different bio-inspired combinations of eight *** used the softmax classifier to obtain the behavior-movement hierarchical probability ***,we specified the MPs using movement parameters that are static and *** obtained the predominant values of the static and dynamic movement parameters using hierarchical clustering and fuzzy C-means clustering,*** predominant parameters were used for fitting the rat spinal joint trajectory using a second-order Fourier series,and the joint trajectory was generalized using a back propagation neural network with two hidden ***,the hierarchical probability model and the generalized joint trajectory were mapped to the robot as control policy and commands,*** implemented the six typical behaviors on the robot,and the results show high similarity when compared with the behaviors of actual rats.

关键词： Biomimetic Bio-inspired robot Neural network learning system Behavior generation

来源：评论

学校读者我要写书评

暂无评论

Improving Energy Quality of a Hybrid Renewable Energy System Wind-Photovoltaic Connected to the Grid

Improving Energy Quality of a Hybrid Renewable Energy System...

引用

2023 IEEE International Conference on Artificial Intelligence and Green Energy, ICAIGE 2023

作者： Saad, Walid Khemiri, Nihel Khedher, Adel Université de Kairouan Institut Supérieur des Sciences Appliquées et de Techologie de Kairouan Tunisia Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Tunisia LATIS-Laboratory of Advanced Technology and Intelligent Systems Tunisia

ISBN: (纸本)9798350325539

In this study the improvement of the hybrid renewable energy system, HRES (wind/PV), without and with nonlinear three-phase balanced and unbalanced load connected to the grid is proposed. The GSC must be able to compensate harmonics and to compare the power of a nonlinear load. We size the parameters of components upstream and downstream of GSC. The HRES was simulated in Matlab/Simulink without load in order to identify the regions of operation of the DFIG in hypo and hyper synchronous and to ensure the correct operation of the generator, then in the presence of a balanced and an unbalanced three-phase nonlinear load in order to ensure the performance of the control laws developed and the energy quality obtained. © 2023 IEEE.

关键词： Power quality

来源：评论

学校读者我要写书评

暂无评论

Development of a Compact Microstrip Triangular Open-Loop Bandpass Filter Using Meander Lines for WiFi 6E 2

Development of a Compact Microstrip Triangular Open-Loop Ban...

引用

2nd International Microwave and Antenna Symposium, IMAS 2024

作者： Ben Haddi, Souhaila Achraou, Soufiane El Bakkali, Moustapha El Khamlichi, Dahbi Taher, Nihade Zakriti, Alia Zugari, Asmaa Touhami, Naima Amar National School of Applied Sciences Department of Civil and Industrial Sciences and Technologies Laboratory of Sciences and Advanced Technology Tetuan Morocco Faculty of Sciences Department of physics Laboratory of Intelligent Systems Design Tetuan Morocco

ISBN: (纸本)9798350356359

This paper presents a compact microstrip bandpass filter for 6GHz, exhibiting excellent performance for Wi-Fi 6E. The aim of this work is to develop a triangular open-loop resonator utilizing a meander line to attain miniaturization. The present bandpass filter was designed using advanced Design System software on Rogers RT5880 substrate. The simulation results indicate high performance with low insertion loss and good impedance matching. Furthermore, the proposed filter is well-miniaturized, occupying only 7.3 x 6.7 mm, which confirms the effectiveness of the meander line in reducing the structure's size. © 2024 IEEE.

关键词： Wi-Fi

来源：评论

学校读者我要写书评

暂无评论

Pattern Matching of Industrial Alarm Floods Using Word Embedding and Dynamic Time Warping

引用

IEEE/CAA Journal of Automatica Sinica 2023年第4期10卷 1096-1098页

作者： Wenkai Hu Xiangxiang Zhang Jiandong Wang Guang Yang Yuxin Cai School of Automation China University of GeosciencesWuhan 430074Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsWuhan 430074 Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of EducationWuhan 430074China College of Electrical Engineering and Automation Shandong University of Science and TechnologyQingdao 266590China

Dear Editor,This letter proposes a new pattern matching method based on word embedding and dynamic time warping(DTW)to identify groups of similar alarm ***,alarm messages are transformed into numeric values that represent alarms and also reflect the relationships between alarm ***,similarities between numerically encoded alarm flood sequences are calculated by DTW and groups of similar floods are identified via *** effectiveness of the proposed method is demonstrated by a case study with alarm&event data obtained from a public industrial simulation model.

关键词： Word Alarm DTW

来源：评论

学校读者我要写书评

暂无评论

GF2PReID: A Novel Framework for Person Re-IDentification Using Generative Networks 22

GF2PReID: A Novel Framework for Person Re-IDentification Usi...

引用

22nd International Conference on Cyberworlds, CW 2023

作者： Baoues, Emna Ben Jegham, Imen Ameur, Safa Khalifa, Anouar Ben Université de Sousse Ecole Nationale d'Ingénieurs de Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia Université de Jendouba Institut National des Technologies et des Sciences du Kef Le Kef7100 Tunisia

ISBN: (纸本)9798350315653

Person Re-Identification is a critical component in modern video surveillance systems for locating individuals across cameras from various viewpoints. However, one of the significant challenges in person ReID arises when facial information is unavailable. To address this issue, we propose GF2PReID, a novel framework that leverages state-of-the-art deep learning-based ReID approaches to generate prior knowledge of the face region and provide detailed information about human body images. Our approach utilizes a deep residual network model trained with transfer learning to extract discriminative features from images with low discrimination, including low illumination and occlusion, collected from diverse datasets. Experimental results, on 2 challenging datasets: Market-1501 and CUHK03, demonstrate that our GF2PReID framework improves the datasets and significantly improves the performance of the Resnet-50 model, reaching the highest performance. © 2023 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Comparative Performance Analysis of Metaheuristic Optimization Algorithms for Parameter Identification of Photovoltaic Cell/Module

Comparative Performance Analysis of Metaheuristic Optimizati...

引用

2024 IEEE International Conference on Artificial Intelligence and Green Energy, ICAIGE 2024

作者： Gaaloul, Yasmine Faris Amiri, Ahmed Bel Hadj Brahim Kechiche, Olfa Hamouda, Mahmoud Chouder, Aissa University of Sousse National Engineering School of Sousse LATIS-Laboratory of Advanced Technology and Intelligent Systems Sousse4023 Tunisia University of Sousse ESSTHSousse HSousse4011 Tunisia PO Box166 Ichebilia M'sila28000 Algeria HSousse4011 Tunisia PO Box166 Ichebilia M'sila28000 Algeria

ISBN: (纸本)9798350389838

PV (photovoltaic) cells are key elements in the conversion process of the sunlight into electrical energy. Therefore, the accurate modeling of PV cells or modules is of amount importance to not only predict their performance in terms of energy production but also to analyse their degradation process and detect their faults, which may be of different types. In this regard, various metaheuristic algorithms have been proposed over the past years to identify the parameters of the PV cells/modules model with the aim to accurately predict their behaviour under different operation conditions. This paper intends to compare three parameters extraction algorithms: Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Grey Wolf Optimizer (GWO). From random weather conditions, the measured I-V curves are first translated into Standard Test Conditions (STC) of 1000 W/m2 and 25°C. Thereafter, the five standard parameters of the one-diode model are extracted using the aforementioned algorithms. A comparative study is carried out based on experimental data of an Isofoton 106W-12V monocrystalline PV module. It reveals the superiority of the GA in terms of accuracy. It shows also that the PSO outperforms the remaining algorithms from the point of view computational complexity. Moreover, the worst performances in terms of accuracy and computational complexity are obtained with the GWO. © 2024 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Revolutionizing Thermal Imaging: GAN-Based Vision Transformers for Image Enhancement

Revolutionizing Thermal Imaging: GAN-Based Vision Transforme...

引用

IEEE International Conference on Image Processing

作者： Mohamed Amine Marnissi LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sfax Ecole Nationale d’Ingénieurs de Sfax Sousse Tunisie

In this paper, we propose a new architecture for thermal image enhancement in which we exploit the strengths of both architecture-based vision transformers and generative adversarial networks. Our approach includes the introduction of a thermal loss function, which is specifically employed to produce high quality images. In addition, we consider fine-tuning based on visible images for thermal image restoration, resulting in an overall improvement in image quality. The performance of our proposed architecture is evaluated using visual quality metrics. The results show significant improvements over the original thermal images and over other established enhancement methods on a subset of the KAIST dataset. The performance of the proposed enhancement architecture is also verified on the detection results by obtaining better performance with a considerable margin considering different versions of the YOLO detector.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Pressure Pain Recognition for Lower Limb Exoskeleton Robot with Physiological Signals 1

引用

2nd International Conference on Cognitive Computation and systems, ICCCS 2023

作者： Ma, Yue Wu, Xinyu Wang, Xiangyang Li, Jinke Qin, Pengjie Yin, Meng Cao, Wujing Yi, Zhengkun Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Shenzhen China SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems Guangdong Shenzhen China Shandong Institute of Advanced Technology Chinese Academy of Sciences Shandong Jining China

ISBN: (数字)9789819708857

ISBN: (纸本)9789819708840

Pain is a feedback mechanism the body uses to protect itself. The perception of human pain is still missing in lower limb exoskeleton robots, such as the pain caused by the pressure between the knee joint and the baffle when the lower limb exoskeleton stands up, or the pain caused by the mismatch between the gait and the body function of the wearer when walking. Aiming at the pain perception problem of the exoskeleton robot, this study designed a pressure pain data acquisition paradigm combined first considering the movement mode of the exoskeleton robot, and collected facial electromyography and electrocardiography signals, as well as five levels of pain. Then a deep learning neural Network based on Temporal Convolutional Network and Long Short-Term Memory is designed. The composite Loss of Center Loss, InfoNEC Loss and Softmax Loss is designed. The designed deep neural network model was evaluated using the thermal pain dataset BioVid, and the average recognition rate using only electrocardiography signals reached 86.44%. By Using the fusion signals of electrocardiography, electrocardiogram and electromyogram signals, the average recognition accuracy can reach 87.16%, which is superior to other similar methods, and verifies the effectiveness of the proposed method. The proposed network is also used to verify the collected pressure pain dataset, and the recognition accuracy can reach 87.5%, which proves the validity of the collected data set. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Electrocardiography

来源：评论

学校读者我要写书评

暂无评论

Sensorless Vector Control of Dual Star Induction Machine Using Sliding Mode Flux Observer

Sensorless Vector Control of Dual Star Induction Machine Usi...

引用

International Conference on advanced systems and Electric Technologies (IC_ASET)

作者： Fatma Zohra Latrech Asma Ben Rhouma Adel Khedher LATIS-Laboratory of Advanced Technology and Intelligent Systems Université de Sousse Ecole Nationale d'Ingénieurs de Sousse Sousse Tunisie

This paper presents the vector control of a double-star induction machine (DSIM) using a sliding mode flux observer (SMFO). The vector control strategy is often sensitive to changes in machine parameters, and the real-time measurement of these parameters increases the cost of the system. To overcome these drawbacks, a sensorless DSIM operation can be achieved using an SMFO, which provides robust control against parameter variations without requiring speed and stator flux sensors. Simulation tests were conducted in the MATLAB/Simulink environment to demonstrate the effectiveness of the proposed structure. Finally, the simulation results are recorded and analyzed.

关键词：

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：