检索结果-内蒙古大学图书馆

Fabrication and Characterization of Diaphragm Headphones Based on Graphene Nanocomposites

Materials 2024年第4期17卷 933页

作者： Hwang, Shun-Fa Liu, Hsien-Kuang Liao, Wei-Chong Cheng, Yi Kai Department of Mechanical Engineering National Yunlin University of Science and Technology 123 University Road Sec. 3 Yunlin Douliu64002 Taiwan Department of Mechanical and Computer Aided Engineering Feng Chia University 100 Wenhwa Road Taichung40724 Taiwan Department of Civil Engineering Feng Chia University 100 Wenhwa Road Taichung40724 Taiwan Graduate School of Natural Science and Technology Okayama University 3-1-1 Tsushimanaka Kita-ku Okayama700-8530 Japan

The goal of this paper is to fabricate innovative diaphragm headphones using graphene oxide paper (GOP) and GOP/epoxy nanocomposites (GOPC). Initially, graphene oxide suspension is fabricated, and the vacuum filtration method is adopted to make GOP. Then, vacuum bag molding is used to fabricate GOPC from GOP. Hot pressing and associated molds are adopted to fabricate line-indented (GOPC-L) or curve-indented patterns (GOPC-C) on the GOPC. The performances of one kind of GOP and three kinds of GOPC diaphragm headphones are analyzed based on their sound pressure level (SPL) curves achieved by the Soundcheck measurement system. There are four important processing parameters that will influence the performance of the diaphragm, including material type GOP versus GOPC, indented pattern type, sonication time on suspension, and graphene weight fraction in suspension. Compliances of various diaphragms are measured by the Klippel LPM laser measurement system. The results indicate that effects of sonication time and graphene weight fraction on SPL of GOP and GOPC headphones are in reverse, and this is associated with their difference on compliance (modulus), mass, damping ratio, and microstructure uniformity. Either GOPC-L or GOPC-C seems to improve the microstructure of the GOPC, and leads to better SPL performance. The correlation between the previous four factors and SPLs of four kinds of diaphragm headphones is proposed by using scanning electron microscope (SEM) to examine the microstructure of these diaphragms. © 2024 by the authors.

关键词： Nanocomposites

来源：评论

学校读者我要写书评

暂无评论

Designing Cellular Manufacturing System in Presence of Alternative Process Plans

arXiv

引用

arXiv 2024年

作者： Uddin, Md. Kutub Islam, Md. Saiful Jahin, Md. Abrar Irfan, Md. Tanjid Hossen Seam, Md. Saiful Islam Mridha, M.F. Department of Mechanical Engineering Khulna University of Engineering & Technology Khulna9203 Bangladesh Department of Industrial Engineering and Management Khulna University of Engineering & Technology Khulna9203 Bangladesh Physics and Biology Unit Okinawa Institute of Science and Technology Graduate University Okinawa904-0412 Japan Department of Computer Science American International University-Bangladesh Dhaka1229 Bangladesh

In the design of cellular manufacturing systems (CMS), numerous technological and managerial decisions must be made at both the design and operational stages. The first step in designing a CMS involves grouping parts and machines. In this paper, four integer programming formulations are presented for grouping parts and machines in a CMS at both the design and operational levels for a generalized grouping problem, where each part has more than one process plan, and each operation of a process plan can be performed on more than one machine. The minimization of inter-cell and intra-cell movements is achieved by assigning the maximum possible number of consecutive operations of a part type to the same cell and to the same machine, respectively. The suitability of minimizing inter-cell and intra-cell movements as an objective, compared to other objectives such as minimizing investment costs on machines, operating costs, etc., is discussed. Numerical examples are included to illustrate the workings of the formulations. © 2024, CC BY.

关键词： Cellular manufacturing

来源：评论

学校读者我要写书评

暂无评论

Predicting the Heterogeneous Chemo-Mechano-Biological Degeneration of Cartilage Using 3-D Biphasic Finite Elements

SSRN

引用

SSRN 2024年

作者： Rahman, Muhammed Masudur Watton, Paul N. Neu, Corey P. Pierce, David M. Department of Mechanical Engineering University of Connecticut Storrs CT United States Department of Computer Science Insigneo Institute for in silico Medicine University of Sheffield Sheffield United Kingdom Department of Mechanical Engineering and Materials Science University of Pittsburgh Pittsburgh United States Paul M. Rady Department of Mechanical Engineering University of Colorado BoulderCO United States Biomedical Engineering Program University of Colorado BoulderCO United States BioFrontiers Institute University of Colorado BoulderCO United States Department of Biomedical Engineering University of Connecticut Storrs CT United States

We establish a novel chemo-mechano-biological (CMB) modeling framework for cartilage implemented within 3-D nonlinear, finite element analyses. The framework integrates a nonlinear biphasic constitutive model with a signaling-pathways biochemical model to capture the coupled effects of mechanical stimuli, biochemical factors, and cellular activity on cartilage degeneration and remodeling. Through finite element simulations of cyclic compression, we explored cartilage degeneration similar to early-stage osteoarthritis (OA), demonstrating that oxygen-dependent, depth-specific metabolic activity yields more realistic patterns of degeneration compared to our previous models. Specifically, our results align with experimental observations, capturing depth-dependent cartilage degradation most pronounced in the superficial zone. Incorporating these insights, our framework provides a platform to investigate mechanisms of cartilage degeneration and simulate therapeutic interventions. We previously developed automated and publicly available tools to generate patient-specific knee models from MR Images, altogether enabling personalized diagnostics/prognostics and pre-/post-operative planning. Our CMB framework is also publicly available for academic use at https://***/imLab/FEVGnR-Plugin, offering a robust basis for advancing research and clinical strategies in understanding and managing osteoarthritis. © 2024, The Authors. All rights reserved.

关键词： Cartilage

来源：评论

学校读者我要写书评

暂无评论

Lightweight Ghost Dense Network for Tomato Leaf Disease Identification

Lightweight Ghost Dense Network for Tomato Leaf Disease Iden...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Yinan Wang Zhijun Xie Libo Zhuang Kewei Chen Yuntao Xie Faculty of Electrical Engineering and Computer Science Ningbo University Ningbo China Research and Development Center Ningbo Shixin Agro-Ecology Company Ningbo China Falculty of Mechanical Engineering and Mechanis Ningbo University Ningbo China School of Computer Science and Engineer The University of New South Wales Sydney Australia

Timely and accurate identification of tomato leaf disease types can effectively improve the quality and yield of tomatoes, increase farmers' economic returns, and promote intelligent and modernized tomato production. To address the problems of intra- and inter-class multi-scale variation, complex background interference, and difficulty in mobile model deployment faced by tomato leaf disease identification, we propose a lightweight Ghost Dense network (LGDNet) to identify diseases of tomato leaves. First, we replace the standard convolution of the bottleneck layer in DenseNet with the Ghost module, which compresses the network size while maintaining the model's adaptability to the multi-scale variation of tomato leaf diseases. Then, we propose a lightweight and efficient coordinate multidimensional information fusion attention (CMIFA) module that enhances feature extraction for tomato leaves and enables the model to locate the diseased areas more accurately. The experimental results indicate that LGDNet reaches optimal recognition performance in both the PlantVillage dataset with a simple background and the Dataset of Tomato Leaves with natural scenes. Moreover, LGDNet achieves the minimum number of parameters among the compared models. In summary, LGDNet provides an excellent solution to the problem of accurately identifying tomato leaves in complex environments and provides a reference for deployment on mobile.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Thermodynamical Material Networks for Modeling, Planning, and Control of Circular Material Flows

引用

International Journal of Sustainable engineering 2023年第1期16卷 1-14页

作者： Zocco, Federico Sopasakis, Pantelis Smyth, Beatrice Haddad, Wassim M. Centre for Intelligent Autonomous Manufacturing Systems School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast and with the Research Centre in Sustainable Energy School of Mechanical and Aerospace Engineering Queen’s University Belfast United Kingdom Centre for Intelligent Autonomous Manufacturing Systems School of Electronics Electrical Engineering and Computer Science Queen’s University Belfast United Kingdom Research Centre in Sustainable Energy School of Mechanical and Aerospace Engineering Queen’s University Belfast United Kingdom School of Aerospace Engineering Georgia Institute of Technology AtlantaGA United States

Material flow analysis (MFA) is the main methodology to assess material flow circularity. It is essentially a data-analysis-based approach whose physical foundations consist of conservation of mass. To improve both the accuracy and the repeatability of MFA models, in this paper we leverage compartmental dynamical thermodynamics merged with graph theory and control theory. The key idea is that the thermodynamic compartments and their connections can be added, removed or modified as needed to achieve a circular material flow. Thus, our methodology consists of designing thermodynamical material networks (TMNs). We also provide a physics-based definition of circularity and implement a nonlinear compartmental control, which has been possible since TMNs are highly dynamic models based on differential calculus (i.e. ordinary differential equations) rather than on arithmetic as is typical for MFA models. As we envision scalable and repeatable designs of TMNs, we made publicly available the paper source code. 1. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Thermodynamics

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence Algorithms for Robotic Harvesting of Agricultural Produce

Artificial Intelligence Algorithms for Robotic Harvesting of...

引用

AIML-Applications for engineering & Technology (ICAET), International Conference on

作者： Nilesh R. Kolhalkar Anupama A. Pandit Shridhar Ashok Kedar G. Yedukondalu Department of Mechanical Engineering MKSSS's Cummins College of Engg. For Women Pune MH India Department of Computer Science & Engg. Defence Institute of Advanced Technology (D.I.A.T) Pune Pune MH India Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Vijayawada A.P. India

ISBN: (数字)9798350355611

ISBN: (纸本)9798350355628

Robotic harvesting of fruits and vegetables is an advanced technology that leverages Robotics, Artificial Intelligence, and Machine Vision to harvest the fruits autonomously from plants or trees. This technology aims to address labor shortages, enhance efficiency, reduce costs, and minimize damage to the fruit during harvesting. AI algorithms for fruit detection and harvesting are increasingly used in agricultural automation to improve efficiency and accuracy. The accuracy of detection algorithms in fruit detection and harvesting can differ reliant on various factors, including the type of algorithm used, the quality and diversity of the training data, the complexity of the environment, and the specific fruits being targeted. Advanced control algorithms integrated with image processing ensure that the robotic arm moves smoothly and accurately, minimizing the risk of bruising or damaging the fruit. Soft robotics and adaptive gripping technologies are discussed in the paper which can handle delicate fruits like grapes, without applying excessive force. Machine vision integrated robot arm with novel gripper and cutter for harvesting cluster fruit like grapes is reported in the paper. Case studies of agricultural robots for Orchards, Greenhouses and Field Crops are discussed with detailed analysis along with challenges, future trends and innovations.

关键词： Accuracy Costs Automation Machine vision Pipelines Lighting Training data Robot sensing systems Prediction algorithms Robots

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation of Energy Storage Units with Efficiency Improvement and State of Charge Balance

Optimal Operation of Energy Storage Units with Efficiency Im...

引用

Electrical engineering (CIYCEE), IEEE China International Youth Conference on

作者： Xiangchen Zhu Yanbo Wang Di Cao Yue Zhang Yunwei Li Zhe Chen Energy Department Aalborg University Aalborg Denmark School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu China Department of Electrical and Computer Engineering University of Alberta Edmonton Canada

This paper proposes an optimal energy storage units (ESUs) operation strategy with efficiency improvement and state of charge (SoC) balance by considering converter characters and network loss. First, the optimal power-sharing ratio considering minimized power loss of paralleled ESUs is obtained with the Lagrange Multiplier Method. Second, the optimal power-sharing ratio with SoC balance of ESUs is obtained. On the basis of it, the optimal operation strategy of paralleled ESUs with efficiency improvement and SoC balance is proposed. The power-sharing ratio of ESUs changes actively according to system operation status. Under the proposed ESUs SoC balance and efficiency improvement control strategy, the difference in each paralleled energy storage unit SoC can be controlled within a desired range. Meanwhile, the system efficiency considering converter loss and cable loss can be improved. In that case, the system's overall performance can be improved. The proposed control strategy effectiveness is verified through the real-time simulation with RT-Lab. The proposed control strategy can enhance ESU operation performance with efficiency improvement and SoC balance.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Cloud-Enhanced Transfer Learning Framework for Medical Image Analysis: Advancing Diagnostic Speed and Accuracy in Healthcare

Cloud-Enhanced Transfer Learning Framework for Medical Image...

引用

Integrated Circuits and Communication Systems (ICICACS), IEEE International Conference on

作者： S. Prabu N. Subhash Chandra M Bhavani V K Chaitanya Varma Mukesh Soni Department of Electronics and Communication Engineering Mahendra Institute of Technology Namakkal India Department of Computer Science and Engineering CVR College of Engineering Mangalpalle India Department of Artificial Intelligence and Data Science Rajalakshmi Institute of Technology Chennai India Department of Mechanical Engineering Sagi Rama Krishnam Raju Engineering College Bhimavaram India Dr. D. Y. Patil Vidyapeeth Dr. D. Y. Patil School of Science & Technology Pune India

ISBN: (数字)9798331508456

ISBN: (纸本)9798331508463

When it comes to medical image analysis, problems arise due to the scarce amount of data and computational resources in medical environments. This is because, as earlier stated, cloud settings demand efficient models capable of delivering more reliable diagnostic results without straining the cloud's computing resources. In this work, we presented a transfer learning based on DenseNet-201 as well ResNet-152 architectures with a new large dataset containing 15,000 medical images of different modality. By utilizing the distributed cloud computing and hypermeters precision strategy, the proposed model was found to have 95.8 % of accuracy, 94.2% sensitivity, and 96.3%specificity. It also reduced the processing time by sixty-eight percent over standard methods across the facilities. Five different datasets validated the proposed approach, achieving an external accuracy of 92.4%, indicating improved generalization performance. The enhancement of accuracy to approximately 90% and the reduction in required computation demonstrate its feasibility for extensive clinical applications on the cloud, spanning across hospitals.

关键词： Cloud computing Accuracy Image analysis Sensitivity Computational modeling Transfer learning computer architecture Medical diagnostic imaging Tuning Standards

来源：评论

学校读者我要写书评

暂无评论

FDM Printing: A Fabrication Method for Fluidic Soft Circuits?

FDM Printing: A Fabrication Method for Fluidic Soft Circuits...

引用

IEEE International Conference on Soft Robotics (RoboSoft)

作者： Savita V. Kendre Lehong Wang Ethan Wilke Nicholas Pacheco Loris Fichera Markus P. Nemitz Department of Robotics Engineering Worcester Polytechnic Institute Worcester MA USA Department of Computer Science Worcester Polytechnic Institute Worcester MA USA Department of Biomedical Engineering Worcester Polytechnic Institute Worcester MA USA Department of Mechanical and Materials Engineering Worcester Polytechnic Institute Worcester MA USA Department of Electrical and Computer Engineering Worcester Polytechnic Institute Worcester MA USA

Existing fluidic soft logic gates for controlling soft robots typically depend on labor-intensive manual fabrication or costly printing methods. In our research, we utilize Fused Deposition Modeling to create fully 3D-printed fluidic logic gates, fabricating a valve from thermoplastic polyurethane. We investigate the 3D printing of tubing and introduce a novel extrusion nozzle for tubing production. Our approach significantly reduces the production time for soft fluidic valves from 27 hours using replica molding to 3 hours with FDM printing. We apply our 3D-printed valve to develop optimized XOR gates and D-latch circuits, presenting a rapid and cost-effective fabrication method for fluidic logic gates that aims to make fluidic circuitry more accessible to the soft robotics community.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Active Exploration in Iterative Gaussian Process Regression for Uncertainty Modeling in Autonomous Racing

arXiv

引用

arXiv 2023年

作者： Benciolini, Tommaso Tang, Chen Leibold, Marion Weaver, Catherine Tomizuka, Masayoshi Zhan, Wei The Automatic Control Engineering The Technical University of Munich Germany The Department of Computer Science The University of Texas AustinTX United States The Department of Mechanical Engineering The University of California BerkeleyCA United States

Autonomous racing creates challenging control problems, but Model Predictive Control (MPC) has made promising steps toward solving both the minimum lap-time problem and head-to-head racing. Yet, accurate models of the system are necessary for model-based control, including models of vehicle dynamics and opponent behavior. Both dynamics model error and opponent behavior can be modeled with Gaussian Process (GP) regression. GP models can be updated iteratively from data collected using the controller, but the strength of the GP model depends on the diversity of the training data. We propose a novel active exploration mechanism for iterative GP regression that purposefully collects additional data at regions of higher uncertainty in the GP model. In the exploration, a MPC collects diverse data by balancing the racing objectives and the exploration criterion;then the GP is re-trained. The process is repeated iteratively;in later iterations, the exploration is deactivated, and only the racing objectives are optimized. Thus, the MPC can achieve better performance by leveraging the improved GP model. We validate our approach in the highly realistic racing simulation platform Gran Turismo Sport of Sony Interactive Entertainment Inc for a minimum lap time challenge, and in numerical simulation of head-to-head. Our active exploration mechanism yields a significant improvement in the GP prediction accuracy compared to previous approaches and, thus, an improved racing performance. © 2023, CC BY-NC-ND.

关键词： Model predictive control

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：