检索结果-内蒙古大学图书馆

DropletMask: Leveraging visual data for droplet impact analysis

Droplet 2024年第4期3卷 10-20页

作者： Chuanning Zhao Youngjoon Suh Yoonjin Won Department of Mechanical and Aerospace Engineering University of CaliforniaIrvineIrvineCaliforniaUSA Department of Electrical Engineering and Computer Science University of CaliforniaIrvineIrvineCaliforniaUSA

Machine learning-assisted computer vision represents a state-of-the-art technique for extracting meaningful features from visual data *** approach facili-tates the quantitative analysis of images,enabling object detection and *** this study,we utilize advanced computer vision to precisely identify droplet motions and quantify their impact forces with spatiotemporal resolution at the picoliter or millisecond ***,captured by a high-speed camera,are denoised through neuromorphic image *** processed images are employed to train con-volutional neural networks,allowing the creation of segmented masks and bounding boxes around moving *** trained networks further digitize time-varying multi-dimensional droplet features,such as droplet diameters,spreading and sliding motions,and corresponding impact *** innovative method offers accurate measurement of small impact forces with a resolution of approximately 10 pico-newtons for droplets in the micrometer range across various configurations with the time resolution at hundreds of microseconds.

关键词： visual impact utilize

来源：评论

学校读者我要写书评

暂无评论

Explainable Artificial Intelligence (XAI) Empowered Digital Twin on Soil Carbon Emission Management Using Proximal Sensing 3

Explainable Artificial Intelligence (XAI) Empowered Digital ...

引用

3rd IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2023

作者： An, Di Chen, YangQuan University of California Merced Electrical Engineering & Computer Science Merced United States University of California Merced Eecs and Mechanical Engineering Merced United States

ISBN: (纸本)9798350318470

Digital Twin can be developed to represent a certain soil carbon emissions ecosystem that takes into account various parameters such as the type of soil, vegetation, climate, human interaction, and many more. With the help of sensors and satellite imagery, real-time data can be collected and fed into the digital model to simulate and predict soil carbon emissions. However, the lack of interpretable prediction results and transparent decision-making results makes Digital Twin unreliable, which could damage the management process. Therefore, we proposed an explainable artificial intelligence (XAI) empowered Digital Twin for better managing soil carbon emissions through AI-enabled proximal sensing. We validated our XAIoT-DT components by analyzing real-world soil carbon content datasets. The preliminary results demonstrate that our framework is a reliable tool for managing soil carbon emissions with relatively high prediction results at a low cost. © 2023 IEEE.

关键词： Decision making

来源：评论

学校读者我要写书评

暂无评论

Integrating Innovative Pedagogies in engineering: The Impact of Temperature on PV Cells 10

Integrating Innovative Pedagogies in Engineering: The Impact...

引用

10th International Conference on Control, Instrumentation and Automation, ICCIA 2024

作者： Samadani, Mehraneh Moradi, Elahe Gavagsaz-Ghoachani, Roghayeh Islamic Azad University Science and Research Branch Environmental Science and Engineering Department Tehran Iran Shahre Rey Branch Department of Electrical and Computer Engineering Tehran Iran Shahid Beheshti University Faculty of Mechanical and Energy Engineering Renewable Energy Engineering Department Tehran Iran

ISBN: (纸本)9798331509972

This paper explores the impact of temperature on photovoltaic (PV) cell performance, emphasizing the critical role of innovative teaching methods in engineering education. By integrating illustrative representations and analogies, such as the popcorn analogy, complex concepts related to solar energy, and PV cell efficiency are made accessible. The study examines key factors, like the Shockley five-parameter model and the effects of environmental conditions on PV cell efficiency, highlighting how higher temperatures reduce open-circuit voltage (VOC) and overall power output. Using visual aids and storytelling techniques, aims to enhance student understanding and retention of these intricate topics. The findings underscore the importance of educational strategies that foster deeper comprehension and critical thinking, ultimately preparing future engineers to contribute effectively to sustainable energy solutions. This approach not only aids in better grasping the technical aspects but also cultivates a sense of environmental responsibility among students. © 2024 IEEE.

关键词： Cell engineering

来源：评论

学校读者我要写书评

暂无评论

A Novel Obstacle Avoidance Consensus Control for Multi-AUV Formation System

引用

IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1304-1318页

作者： Linling Wang Daqi Zhu Wen Pang Chaomin Luo the Shanghai Engineering Research Center of Intelligent Maritime Search&Rescue and Underwater Vehicles Shanghai Maritime UniversityShanghai 201306China the Shanghai Maritime University Shanghai 201306China the School of Mechanical Engineering University of Shanghai for Science and TechnologyShanghai 200093China the Department of Electrical and Computer Engineering Mississippi State UniversityMississippi StateMS 39762 USA

In this paper, the fixed-time event-triggered obstacle avoidance consensus control for a multi-AUV time-varying formation system in a 3D environment is presented by using an improved artificial potential field and leader-follower strategy(IAPF-LF). Firstly, the proposed fixed-time control can achieve the desired multi-AUV formation within a fixed settling time in any initial system state. Secondly, an event-triggered communication strategy is developed to govern the communication among AUVs, and the communication energy consumption can be decremented. The time-varying formation obstacle avoidance control algorithm based on IAPF-LF is designed to avoid static and dynamic obstacles, the desired formation is maintained in the presence of external disturbances, and there is no Zeno behavior under the fixed-time event-triggered consensus control *** stability of the system is proved by the Lyapunov function and inequality scaling. Finally, simulation examples and water pool experiments are reported to verify the performance of the proposed theoretical algorithms.

关键词： Autonomous underwater vehicle(AUV) event-triggered control fixed-time consensus formation obstacle avoidance improved artificial potential field and leader-follower strategy(IAPF-LF)

来源：评论

学校读者我要写书评

暂无评论

Indonesia Traffic Sign Recognition Using a One-Stage Detector YOLOv8 7

Indonesia Traffic Sign Recognition Using a One-Stage Detecto...

引用

7th International Conference on Vocational Education and electrical engineering, ICVEE 2024

作者： Yohannes, Ervin Mulyono, Alfito Prapanca, Aditya Utaminingrum, Fitri Shih, Timothy K. Lin, Chih-Yang Muchtar, Kahlil State University of Surabaya Informatic Engineering Surabaya Indonesia University of Brawijaya Informatic Engineering Malang Indonesia National Central University Computer Science and Information Engineering Taoyuan Taiwan National Central University Mechanical Engineering Taoyuan Taiwan Syiah Kuala University Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9798331505103

Traffic is a key element in the transportation system. However, the increase in road accidents, which can be attributed to people's lack of knowledge about traffic, is a growing concern. The primary solution to address this problem is to enhance traffic knowledge. The application of artificial intelligence, particularly object detection methods using detector-based deep learning, has proven efficient in real-time object detection. In this research, object recognition is performed using YOLOv8 (You Only Look Once). These models are trained and tested for their performance in detecting traffic signs in Indonesia. The results show that the mAP 50 and mAP 5 0 - 9 5 values were 9 9. 5 0 % and 9 9. 0 1 %, respectively, for the YOLOv8 model. This demonstrates that YOLOv8 is the best-performing model for traffic sign detection in Indonesia. © 2024 IEEE.

关键词： Traffic signs

来源：评论

学校读者我要写书评

暂无评论

Safety Flight Control Design of a Quadrotor UAV With Capability Analysis

引用

IEEE Transactions on Cybernetics 2023年第3期53卷 1738-1751页

作者： Zhou, Xiaobin Yu, Xiang Guo, Kexin Zhou, Sicheng Guo, Lei Zhang, Youmin Peng, Xiaoyan Hunan University State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body College of Mechanical and Vehicle Engineering Hunan Changsha410072 China Beihang University School of Automation Science and Electrical Engineering Beijing100191 China Beihang University School of Aeronautic Science and Engineering Beijing100191 China Concordia University Department of Mechanical Industrial and Aerospace Engineering MontrealQCH3G 1M8 Canada

This article considers the safety control problem of a quadrotor unmanned aerial vehicle (UAV) subject to actuator faults and external disturbances, based on the quantization of system capability and safety margin. First, a trajectory function is constructed online with backpropagation of system dynamics. Therefore, a degraded trajectory is gracefully regenerated, via the tradeoff between the remaining system capability and the expected derivatives (velocity, jerk, and snap) of the trajectory. Second, a control-oriented model is established into a form of strict feedback, integrating actuator malfunctions and disturbances. Therefore, a retrofit dynamic surface control (DSC) scheme based on the control-oriented model is developed to improve the tracking performance. When comparing to the existing control methods, the compensation ability is analyzed to determine whether the faults and disturbances can be handled or not. Finally, simulation and experimental studies are conducted to highlight the efficiency of the proposed safety control scheme. © 2013 IEEE.

关键词： Pulse width modulation

来源：评论

学校读者我要写书评

暂无评论

Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data 22

Adversarial Domain Adaptation for Metal Cutting Sound Detect...

引用

22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Mostafiz, Mir imtiaz Kim, Eunseob Li, Adrian Shuai Bertino, Elisa Jun, Martin Byung-Guk Shakouri, Ali Department of Computer Science Purdue University West Lafayette United States School of Mechanical Engineering Purdue University West Lafayette United States School of Electrical and Computer Engineering Purdue University West Lafayette United States

ISBN: (纸本)9798331527471

Cutting state monitoring in the milling process is crucial for improving manufacturing efficiency and tool life. Cutting sound detection using machine learning (ML) models, inspired by experienced machinists, can be employed as a cost-effective and non-intrusive monitoring method in a complex manufacturing environment. However, labeling industry data for training is costly and time-consuming. Moreover, industry data is often scarce. In this study, we propose a novel adversarial domain adaptation (DA) approach to leverage abundant lab data to learn from scarce industry data, both labeled, for training a cutting-sound detection model. Rather than adapting the features from separate domains directly, we project them first into two separate latent spaces that jointly work as the feature space for learning domain-independent representations. We also analyze two different mechanisms for adversarial learning where the discriminator works as an adversary and a critic in separate settings, enabling our model to learn expressive domain-invariant and domain-ingrained features, respectively. We collected cutting sound data from multiple sensors in different locations, prepared datasets from lab and industry domain, and evaluated our learning models on them. Experiments showed that our models outperformed the multi-layer perceptron based vanilla domain adaptation models in labeling tasks on the curated datasets, achieving near 92%, 82% and 85% accuracy respectively for three different sensors installed in industry settings. © 2024 IEEE.

关键词： Adversarial Domain Adaptation Cutting sound detection Feature transform Transfer learning

来源：评论

学校读者我要写书评

暂无评论

PRIVACY-PRESERVING IN-SITU MONITORING IN ADDITIVE MANUFACTURING THROUGH HYPERDIMENSIONAL COMPUTING

PRIVACY-PRESERVING IN-SITU MONITORING IN ADDITIVE MANUFACTUR...

引用

ASME 2024 International mechanical engineering Congress and Exposition, IMECE 2024

作者： Piran, Fardin Jalil Poduval, Prathyush P. Barkam, Hamza Errahmouni Imani, Mohsen Imani, Farhad School of Mechanical Aerospace and Manufacturing Engineering University of Connecticut StorrsCT United States Department of Computer Science University of California Irvine IrvineCA United States

ISBN: (纸本)9780791888605

Machine learning (ML) models are used for in-situ monitoring in additive manufacturing (AM) for defect ***, sensitive information stored in ML models, such as part designs, is at risk of data leakage due to unauthorized *** address this, differential privacy (DP) introduces noise into ML, outperforming cryptography, which is slow, and data anonymization, which does not guarantee *** DP enhances privacy, it reduces the precision of defect *** paper proposes combining DP with Hyperdimensional Computing (HDC), a brain-inspired model that memorizes training sample information in a large hyperspace, to optimize real-time monitoring in AM while protecting *** DP noise to the HDC model protects sensitive information without compromising defect detection *** studies demonstrate the effectiveness of this approach in monitoring anomalies, such as overhangs, using high-speed melt pool data *** a privacy budget set at 1, our model achieved an F-score of 94.30%, surpassing traditional models like ResNet50, DenseNet201, EfficientNet B2, and AlexNet, which have performance up to 66%.Thus, the intersection of DP and HDC promises accurate defect detection and protection of sensitive information in *** proposed method can also be extended to other AM processes, such as fused filament fabrication. Copyright © 2024 by ASME.

关键词： Budget control

来源：评论

学校读者我要写书评

暂无评论

Role of Multi-scale Hierarchical Structures in Regulating Wetting State and Wetting Properties of Structured Surfaces

引用

Journal of Bionic engineering 2024年第3期21卷 1347-1359页

作者： Yue Jiang Xinyi Li Zhichao Ma Zhihui Zhang Cuie Wen Zhonghao Jiang Nan Lin Luquan Ren Key Laboratory of Bionic Engineering of Ministry of Education College of Biological and Agricultural EngineeringJilin UniversityChangchun130022China Hubei Provincial Engineering Technology Research Center for Microgrid College of Electrical Engineering and New EnergyChina Three Gorges UniversityYichang443002China School of Mechanical and Aerospace Engineering Jilin UniversityChangchun130025China Centre for Additive Manufacturing School of EngineeringRMIT UniversityMelbourneVictoria3001Australia Key Laboratory of Automobile Materials of Ministry of Education College of Materials Science and EngineeringJilin UniversityChangchun130025China State Key Laboratory of Inorganic Synthesis and Preparative Chemistry Jilin UniversityChangchun130012China

Amplifying the intrinsic wettability of substrate material by changing the solid/liquid contact area is considered to be the main mechanism for controlling the wettability of rough or structured *** theoretical analysis and experimental exploration,we have found that in addition to this wettability structure amplification effect,the surface structure also simultaneously controls surface wettability by regulating the wetting state via changing the threshold Young angles of the Cassie-Baxter and Wenzel wetting *** wetting state regulation effect provides us with an alternative strategy to overcome the inherent limitation in surface chemistry by tailoring surface *** wetting state regulation effect created by multi-scale hierarchical structures is quite significant and plays is a crucial role in promoting the superhydrophobicity,superhydrophilicity and the transition between these two extreme wetting properties,as well as stabilizing the Cassie-Baxter superhydrophobic state on the fabricated lotus-like hierarchically structured Cu surface and the natural lotus leaf.

关键词： Hierarchical structure Wetting state regulation Wetting transition Superhydrophobicity Superhydrophilicity

来源：评论

学校读者我要写书评

暂无评论

UNDERSTANDING RESILIENCE OF AGRICULTURAL SYSTEMS: A SYSTEMATIC LITERATURE REVIEW 24

UNDERSTANDING RESILIENCE OF AGRICULTURAL SYSTEMS: A SYSTEMAT...

引用

24th International Conference on engineering Design, ICED 2023

作者： Boahen, Samuel Oviroh, Peter Ozaveshe Austin-Breneman, Jesse Miyingo, Emmanuel W. Papalambros, Panos Y. Department of Mechanical Engineering Kwame Nkrumah University of Science and Technology Pmb Kumasi Ghana Department of Mechanical Engineering University of Michigan Ann Arbor United States Department of Mechanical Engineering Science University of Johannesburg South Africa Department of Electrical and Computer Engineering Makerere University Kampala Uganda

Resilience is a widely studied concept that is a key objective in the design and development of sustainable systems. This is especially true for the agricultural systems critical to food production, economic viability, and sustainability of our communities, as farmers seek to meet increasing demand in the face of shocks such as climate change and natural disasters. Although there is a rich body of work examining resilience, there is limited understanding of how the concept of resilience should be tailored for agricultural systems. This study seeks to address this gap by performing a systematic literature review of 50 papers selected from SCOPUS using the PRISMA protocol. A summary of research topics and characteristics by geographical region is presented. The paper also categorizes the types of shocks studied and the corresponding response methods. Results suggest that the focus of resilience research changes by region, which may indicate that design strategies and objectives should also differ by region. Furthermore, the work identifies a need for more simulation-based quantitative research into the impact of resilience. © The Author(s), 2023. Published by Cambridge University Press.

关键词： Sustainable development

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：