检索结果-内蒙古大学图书馆

2023 IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2023

作者： Kotha, Prashanth Reddy Attari, Minasadat Maschmann, Matthew Bunyak, Filiz University of Missouri Department of Electrical Engineering and Computer Science ColumbiaMO United States University of Missouri Department of Mechanical and Aerospace Engineering ColumbiaMO United States University of Missouri MU Materials Science and Engineering Institute ColumbiaMO United States

ISBN: (纸本)9798350359527

Carbon nanotubes (CNTs) are promising nano-materials with diverse applications in various fields, ranging from electronics and energy storage to biomedical applications. Characterization of CNT forest structures and prediction of material properties through image analytics are critical for new material design and discovery. Artificial intelligence and machine learning (AI/ML) driven approaches offer promising solutions towards these goals. These data-driven approaches rely on large amounts of annotated data for robust training. However, growing, imaging, and annotation of CNT forests are complex, time consuming, expensive processes limiting availability of such data. In this paper, we propose a novel neural style transfer pipeline to generate photo-realistic and structure-Aware synthetic images of CNT forests by imposing scanning electron microscopy (SEM) like appearance to physics-based simulation results. The proposed pipeline relies on a novel wavelet-based style transfer network and a selective decision fusion mechanism that allows better preservation of the thin curvilinear structures of CNTs, particularly their intricate details and connectivity, without introducing unwanted artifacts. Experimental results and quantitative analysis demonstrate refined style transfer that generates photo-realistic images that can be used to train AI/ML-driven CNT forest image analysis systems. © 2023 IEEE.

关键词： Carbon nanotubes

来源：评论

学校读者我要写书评

暂无评论

Validation of High Angular Resolution Diffusion-Weighted Imaging Protocols 15

Validation of High Angular Resolution Diffusion-Weighted Ima...

引用

15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Seth, Jyoti Savitha, R. Kumar, Ashwini Vivekananda Global University Department of Computer Science & Engineering Jaipur India School of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Bangalore India Arka Jain University Department of Mechanical Engineering Jharkhand Jamshedpur India

ISBN: (纸本)9798350370249

High angular resolution diffusion-weighted imaging (HARDI) protocols are strategies used to growth the number of facts amassed about tissue microstructure in diffusion imaging. Current studies have sought to apprehend the validity of HARDI methods and their ability to reconstruct the underlying tissue systems accurately. The evaluation of HARDI reliability is accomplished thru 3 major classes: voxel-wise checks of methods, simulations to evaluate protocol efficiency, and human brain tract reconstruction. outcomes from these studies have tested that HARDI may additionally offer progressed visualization of mind microstructure and might higher differentiate between individual white count tracts and distinctive tissue kinds than conventional diffusion imaging. However, due to the complexity of HARDI protocols, further validation is essential to ensure accuracy and discover the strengths and weaknesses of the strategies. © 2024 IEEE.

关键词： Accomplished Accuracy Distinctive Essential Microstructure Protocols Strategies Validation

来源：评论

学校读者我要写书评

暂无评论

Investigation of Effective Electrode Structure for Metal Removal from Composite Materials Using Pulsed Discharge 10

Investigation of Effective Electrode Structure for Metal Rem...

引用

10th Euro-Asian Pulsed Power Conference, 25th International Conference on High-Power Particle Beams and 20th International Symposium on Electromagnetic Launch Technology, EAPPC-BEAMS-EML 2024

作者： Doi, Takuto Oishi, Shota Sakugawa, Takashi Nishimura, Kaisei Shobako, Shinichiro Shimasaki, Shinichi Yamashita, Tomohiko Kumamoto University Graduate School of Science and Technology Department of Computer Science and Electrical Engineering Kumamoto Japan Kagawa College National Institute of Technology Department of Electro-Mechanical Systems Engineering Takamatsu Japan

ISBN: (纸本)9789038661353

The authors investigate the potential of pulsed power technology in recycling of E-waste. Applying the pulsed discharge can separate composite materials into plastic and metal. In this study, pulsed discharge was applied to indium tin oxide (ITO) coated plastic films. We used two electrode types: rod-To-rod electrode and a pair of flat plate electrodes to investigate the effect of electrode structure on the metal removal area in detail. A series of single pulse discharges were applied at various electrode distances. As a result, it was revealed that metal can be removed over a wide range by the pulsed discharge using a pair of flat plate electrodes. When the gap between the electrodes was 30 mm, the removal area by the flat plate electrodes was approximately 3.4 times that by the rod electrodes. Analysis of the current density also revealed that the metal removal area was greatly affected by the current density. © 2024 Eindhoven University of Technology.

关键词： Tin oxides

来源：评论

学校读者我要写书评

暂无评论

Nash Equilibrium Seeking for Noncooperative Duopoly Games via Event-Triggered Control 63

Nash Equilibrium Seeking for Noncooperative Duopoly Games vi...

引用

63rd IEEE Conference on Decision and Control, CDC 2024

作者： Rodrigues, Victor Hugo Pereira Oliveira, Tiago Roux Krstic, Miroslav Basar, Tamer Dept of Eletronics and Telecommunication Engineering RJ Rio de Janeiro Brazil Dept of Mechanical and Aerospace Engineering La Jolla CA United States University of Illinois Urbana-Champaign Dept of Electrical and Computer Engineering UrbanaIL United States

ISBN: (纸本)9798350316339

This paper proposes a novel approach for locally stable convergence to Nash equilibrium in duopoly noncooperative games based on a distributed event-triggered control scheme. The proposed approach employs extremum seeking, with sinusoidal perturbation signals applied to estimate the gradient (first derivative) of unknown quadratic payoff functions. This is the first instance of noncooperative games being tackled in a model-free fashion integrated with the event-triggered methodology. Each player evaluates independently the deviation between the corresponding current state variable and its last broadcasted value to update the player action, while they preserve control performance under limited bandwidth of the actuation paths and still guarantee stability for the closed-loop dynamics. In particular, the stability analysis is carried out using time-scaling technique, Lyapunov's direct method and averaging theory for discontinuous systems. We quantify the size of the ultimate small residual sets around the Nash equilibrium and illustrate the theoretical results numerically on an example. © 2024 IEEE.

关键词： Nash equilibrium

来源：评论

学校读者我要写书评

暂无评论

A PV-Powered Microcontroller-Based Agricultural Robot Utilizing GSM Technology for Crop Harvesting and Plant Watering

A PV-Powered Microcontroller-Based Agricultural Robot Utiliz...

引用

2023 IEEE International Students' Conference on electrical, Electronics and computer science, SCEECS 2023

作者： Nuhel, Ahsan Kabir Sazid, Mir Mohibullah Paul, Dipta Hasan, Ekramul Roy, Priyadarshini Hriddhi Sinojiya, Fenish Prafulbhai Electrical and Electronics Engineering Bangladesh Vellore Institute of Technology Computer Science and Engineering Vellore India Vellore Institute of Technology Department of Mechanical Engineering Vellore India

ISBN: (纸本)9798350398748

A solar-powered, intelligent grass cutter and pesticide application system that uses microcontrollers, sonar sensors, solar panels, and GSM technology is being proposed as a solution to the issue of high labor costs in the agricultural sector of Bangladesh. This is done in order to achieve exquisite cost management. The initial objective is to design a system that, through utilizing a robot controlled by a micro controller, will make the laborious work of our farmers and entrepreneurs more feasible. This machine can trim the grass, apply pesticides, and simultaneously provide the plant with water. Solar panels are used to extract power from the sun to charge the device. At long last, GSM technology has been integrated, turning this device into one that can be remotely controlled using a straightforward SMS protocol. © 2023 IEEE.

关键词： Microcontrollers

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Fault Diagnosis Method Based on Transformer and CNN 7

A Hybrid Fault Diagnosis Method Based on Transformer and CNN

引用

7th International Symposium on Autonomous Systems, ISAS 2024

作者： Gao, Zhi He, Meixuan Zhang, Bangcheng Shao, Yubo Liu, Jingru Que, Shaohua Changchun University of Technology School of Mechatronic Engineering Changchun China Changchun University of Technology College of Computer Science and Engineering Changchun China Changchun University of Technology Faculty of Mechanical and Electrical Engineering Faculty of Mechanical and Electrical Engineering Changchun Institute of Technology Changchun China Faw Tooling Die Manufacturing Changchun China

ISBN: (纸本)9798350363173

The elevator data of the welding production line has significant timing characteristics. There are more normal data and less abnormal data. Therefore, it becomes more complicated to diagnose the abnormality of the welding production line hoisting system through data analysis. This paper proposes a hybrid fault diagnosis method that combines a Transformer with a convolutional neural network. Firstly, the Transformer is used to extract the long-range dependencies in the data and identify complex faults that may not be adjacent. Then, the convolutional neural network extracted local or spatial features from the data. Finally, the multilayer perceptron maps the extracted features to the output space. The model innovatively merges the Transformer's global context analysis with the convolutional neural network's local feature detection precision, boosting fault diagnosis accuracy and efficiency. The proposed hybrid model was applied to the actual vibration data set of the hoists condition monitoring system of the white welding production line, and the results were contrasted with those of the support vector machine method, the long short-term memory network method, and the back propagation neural network method. Experimental findings demonstrate that the hybrid model achieves an accuracy of 99.98%, which is suitable for the fault diagnosis of the driving end bearing of the body of the white welding production line. © 2024 IEEE.

关键词： Failure analysis

来源：评论

学校读者我要写书评

暂无评论

A Machine Learning Framework for Skin Cancer Detection using Transfer Learning 6

A Machine Learning Framework for Skin Cancer Detection using...

引用

6th IEEE International Conference on Image Processing, Applications and Systems, IPAS 2025

作者： Augustine, Mary Linda Panakal Spanogianopoulos, Sotirios Sharif, Mhd Saeed University of East London School of Architecture Computing and Engineering Department of Computer Science and Digital Technologies London United Kingdom University of Portsmouth School of Electrical and Mechanical Engineering Portsmouth United Kingdom

ISBN: (纸本)9798331506520

This paper uses deep learning algorithms including InceptionV2, InceptionV3, DenseNet, MobileNet, and VGG19 to improve skin cancer detection. This research aims to improve skin cancer diagnosis. This work aims to determine the most effective evolutionary metrics-based technique to recognizing skin cancer, which is comparable to other diseases. Ultimately, our paper aims to create a realistic skin cancer detection system that uses the best deep learning algorithm. This discovery might improve medical diagnostics, leading to earlier diagnosis and improved healthcare outcomes. © 2025 IEEE.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

An efficient approach for cement strength prediction

引用

International Journal of computers and Applications 2023年第1期45卷 8-18页

作者： Gaidhane, Vilas H. Kumar, Nand Mittal, Ravi Kant Rajevenceltha, J. Department of Electrical and Electronics Engineering Birla Institute of Technology and Science Dubai Campus Pilani United Arab Emirates Department of Computer Science Birla Institute of Technology and Science Pilani Dubai Campus United Arab Emirates Department of Mechanical Engineering Birla Institute of Technology and Science Pilani India

In this paper, a simple and computationally efficient approach is proposed to predict the cement strength. It is based on the mathematical concept of covariance matrix and polynomial coefficients. The polynomial coefficients are used to represent the features of cement strength data set. The efficiency and feasibility of the proposed approach is demonstrated on the cement strength data set collected from the cement industry for 2 days, 7 days and 28 days samples. Based on the number of dynamic input variables of the cement strength, the different prediction models such as SOM, linear and nonlinear regression and artificial neural network are designed and the various experimentations are carried to evaluate the proposed approach. Experimental results have shown the effectiveness of the proposed approach in the form of RMSE, R-square coefficients and computational time. It is observed that the proposed polynomial coefficient-artificial neural network approach performs better and predict the cement strength efficiently as compared to other existing methods. © 2019 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Anytime Communication: A Human-AI Collaboration Framework for Causal-Based Root Cause Analysis

Anytime Communication: A Human-AI Collaboration Framework fo...

引用

AIAA science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Deng, Ziquan Prugsanapan, Pinn Kong, Zhaodan Department of Mechanical and Aerospace Engineering University of California DavisCA95616 United States Department of Computer Science University of California DavisCA95616 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Structure learning is pivotal for causal discovery-driven root cause analysis (RCA). Causal discovery (CD) methods often face difficulties with datasets containing noise or missing information, resulting in causal graphs that may deviate from expert expectations, especially in scenarios with inconsistent or irregular data patterns. Conventional CD approaches frequently lack user-friendly explanatory tools, making it difficult for users to interpret outputs and iteratively enhance the inference process. Despite the inherently human-centric nature of CD, existing research has largely neglected methods that yield interpretable, expert-verifiable results while also promoting iterative collaboration between human experts and the system to refine causal inferences. To bridge these gaps, we propose an innovative framework for RCA that fosters a dynamic, two-way partnership between human expertise and AI. The approach incorporates a specialized visualization platform, allowing domain experts to navigate and analyze causal relationships effectively. Next, we introduce a mechanism for expert input to clarify variable relationships, significantly reducing ambiguity in the causal graphs produced. Furthermore, our method supports iterative model refinement through human feedback integration, allowing experts to influence RCA updates in real time. Notably, the framework facilitates the injection of domain knowledge at any stage of the process, whether proactively or reactively, ensuring seamless communication. Experiments using synthetic datasets highlight that this method not only samples causal graphs accurately but also achieves substantial improvements in inference quality with expert guidance. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Aviation

来源：评论

学校读者我要写书评

暂无评论

Impact of Parametric Uncertainties on the Steady-State Performances of DFIG-Based WECS 10th

Impact of Parametric Uncertainties on the Steady-State Perfo...

引用

10th EAI International Conference on Advancements of science and Technology, EAI ICAST 2022

作者： Ayenew, Endalew Biru, Getachew Mulatu, Asrat Berhanu, Milkias Electrical Power and Control Engineering School of Electrical Engineering and Computing Adama Science and Technology University Adama Ethiopia School of Electrical and Computer Engineering Addis Ababa Institute of Technology Addis Ababa University Addis Ababa Ethiopia Center of Excellence for Sustainable Energy College of Electrical and Mechanical Engineering Addis Ababa Science and Technology University Addis Ababa Ethiopia

ISBN: (纸本)9783031411724

This chapter presents the study carried out to discover uncertain parameters in a model of a doubly-fed induction generator (DFIG)-based wind energy conversion system (WECS) and to investigate their effects on WECS plant while harvesting energy from wind at varying speeds. This is carried out by analytically formulating the steady-state models of a DFIG-based WECS and computing the parameters of these models at different wind speeds that drive wind turbines at rotor speed from sub-synchronous to super-synchronous. The main uncertain parameters in this system are the mutual reactances between stator and rotor windings, and the reactance of rotor winding. These variations happen due to the varying wind speed. The effect of parametric uncertainties on the steady-state performances of DFIG-based WECS is examined. The results depicted that the steady-state performances of DFIG-based WECS are influenced by uncertain phenomena. Typically a 0.5% change in mutual reactances caused up to 10 kW change in the generator output power. Mainly, it causes instability in the performances of the DFIG-based WECS and slightly reduces overall efficiency at a higher value of the wind speed. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： DFIG-based WECS HAWT Performances of WECS Uncertain parameter

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：