检索结果-内蒙古大学图书馆

28th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2024

作者： Lugoma, Masikini Mathenjwa, Samukelisiwe Ilunga, Masengo Ngaka, Mosia Department of Mining Minerals and Geomatics Engineering University of South Africa Pretoria South Africa Department of Civil and Environmental Engineering and Building Science University of South Africa Pretoria South Africa Department of Mechanical Bioresources and Biomedical Engineering University of South Africa Pretoria South Africa

ISBN: (纸本)9781950492794

This study analysed student enrolments (as multivariate data) in 9 universities of technology of South Africa (UoT), in attempting to maximize the amount of information in data, using principal component analysis. The findings of the study demonstrated that the data sets corresponding to the universities can be reduced optimally to 4 components, by extracting around 90% of information contained in enrolments. It was also revealed that the first two components accounted for about 60% of variance, with more than a half of universities belonging to the 2nd quadrant, followed by 1st and finally the 3rd quadrant. It was observed that none of the universities appeared in the 4th quadrant. Reduced variables could be beneficial in offsetting the complexity in the determination of government subsidy benefitted by universities and any other government operations involving student enrolment. © 2024 by the International Institute of Informatics and Systemics. All rights reserved.

关键词： complexity reduction correlation Enrolments institution of higher learning principal component analysis

来源：评论

学校读者我要写书评

暂无评论

An interpretable deep learning approach for designing nanoporous silicon nitride membranes with tunable mechanical properties

引用

npj Computational Materials 2023年第1期9卷 1524-1533页

作者： Ali KShargh Niaz Abdolrahim Department of Mechanical Engineering University of RochesterRochesterNY 14627USA Materials Science program University of RochesterRochesterNY 14627USA Laboratory for Laser Energetics University of RochesterRochesterNY 14627USA

The high permeability and strong selectivity of nanoporous silicon nitride(NPN)membranes make them attractive in a broad range of *** their growing use,the strength of NPN membranes needs to be improved for further extending their biomedical *** this work,we implement a deep learning framework to design NPN membranes with improved or prescribed strength *** examine the predictions of our framework using physics-based *** results confirm that the proposed framework is not only able to predict the strength of NPN membranes with a wide range of microstructures,but also can design NPN membranes with prescribed or improved *** simulations further demonstrate that the microstructural heterogeneity that our framework suggests for the optimized design,lowers the stress concentration around the pores and leads to the strength improvement of NPN membranes as compared to conventional membranes with homogenous microstructures.

关键词： tunable prescribed strength

来源：评论

学校读者我要写书评

暂无评论

Accurate and efficient remaining useful life prediction of batteries enabled by physics-informed machine learning

引用

Journal of Energy Chemistry 2024年第4期91卷 512-521页

作者： Liang Ma Jinpeng Tian Tieling Zhang Qinghua Guo Chunsheng Hu School of Mechanical MaterialsMechatronic and Biomedical EngineeringUniversity of WollongongWollongongNSW 2522Australia Department of Electrical and Electronic Engineering and Research Centre for Grid Modernization The Hong Kong Polytechnic UniversityKowloonHong Kong 999077China School of Electrical Computer and Telecommunications EngineeringUniversity of WollongongWollongongNSW 2522Australia School of Advanced Interdisciplinary Studies Ningxia UniversityYinchuan 750000NingxiaChina

The safe and reliable operation of lithium-ion batteries necessitates the accurate prediction of remaining useful life(RUL).However,this task is challenging due to the diverse ageing mechanisms,various operating conditions,and limited measured *** data-driven methods are perceived as a promising solution,they ignore intrinsic battery physics,leading to compromised accuracy,low efficiency,and low *** response,this study integrates domain knowledge into deep learning to enhance the RUL prediction *** demonstrate accurate RUL prediction using only a single charging ***,a generalisable physics-based model is developed to extract ageing-correlated parameters that can describe and explain battery degradation from battery charging *** parameters inform a deep neural network(DNN)to predict RUL with high accuracy and *** trained model is validated under 3 types of batteries working under 7 conditions,considering fully charged and partially charged *** data from one cycle only,the proposed method achieves a root mean squared error(RMSE)of 11.42 cycles and a mean absolute relative error(MARE)of 3.19%on average,which are over45%and 44%lower compared to the two state-of-the-art data-driven methods,*** its accuracy,the proposed method also outperforms existing methods in terms of efficiency,input burden,and *** inherent relationship between the model parameters and the battery degradation mechanism is further revealed,substantiating the intrinsic superiority of the proposed method.

关键词： Lithium-ion batteries Remaining useful life Physics-informed machine learning

来源：评论

学校读者我要写书评

暂无评论

MRI Compatible Robotic Dosimeter System for Safety Assessment of Medical Implants

MRI Compatible Robotic Dosimeter System for Safety Assessmen...

引用

2024 IEEE/SICE International Symposium on System Integration, SII 2024

作者： Martinez, Daniel E. Nieves-Vazquez, Heriberto A. Yaras, Yusuf S. Khotimsky, Alexey Skowronski, Ben Bradley, Lee Oshinski, John Degertekin, F. Levent Ueda, Jun Woodruff School of Mechanical Engineering Georgia Institute of Technology AtlantaGA United States Georgia Institute of Technology Emory University Department of Radiology and Imaging Sciences Department of Biomedical Engineering AtlantaGA United States

ISBN: (纸本)9798350312072

Magnetic Resonance Imaging (MRI) is considered a safe imaging modality since there is no use of ionizing radiation. However, safety concerns still arise due to Radiofrequency (RF)-induced heating of electrically conducting structures such as medical implants. While recent advancements in robotics and sensors have enabled the measurement of temperature and electric fields outside the MRI setting, the heat generated by electromagnetic components within an MRI scanner still poses a challenge. This paper proposes the use of an MRI-compatible robot to accurately move and position a novel MRI-compatible sensor at different points in a gel phantom to generate heat and electric field maps around implantable medical devices. The effectiveness of the system is demonstrated by measuring a heat map around an abandoned pacemaker lead. The system provides a novel method of medical device safety evaluation in a clinical MRI setting. © 2024 IEEE.

关键词： Magnetic resonance imaging

来源：评论

学校读者我要写书评

暂无评论

Curriculum Learning Influences the Emergence of Different Learning Trends 23

Curriculum Learning Influences the Emergence of Different Le...

引用

23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024

作者： Mir, Romina Ojaghi, Pegah Erwin, Andrew Marjaninejad, Ali Wehner, Michael Valero-Cuevas, Francisco J. University of Southern California Department of Biomedical Engineering Los AngelesCA United States University of California Santa Cruz Computer Science and Engineering Department Santa CruzCA United States University of Wisconsin-Madison Mechanical Engineering Department MadisonWI United States

ISBN: (纸本)9798350373578

Reinforcement learning (RL) algorithms are traditionally evaluated and compared by their learning trends (i.e., average performance) over trials and time. However, the presence of a single learning trend in a curriculum is, in fact, an assumption. To test this assumption, we used the performance of Proximal Policy Optimization (PPO) under five different curricula aimed at learning dynamic in-hand manipulation tasks. The curricula consisted of different combinations of rewards for lifting and rotating a 5g ball with a three-finger hand with the palm facing down. Mining the performance of all 60 individual trials as time series, we find there are learning trends distinct from the average. We conclude researchers should look beyond the average learning trends when evaluating curriculum learning to fully identify, appreciate, and evaluate the progression of autonomous learning of multi-objective tasks. © 2024 IEEE.

关键词： Contrastive Learning

来源：评论

学校读者我要写书评

暂无评论

The dynamics of Industry 4.0 in the context of engineering & technology education in a VUCA world: A causal loop diagram perspective 16

The dynamics of Industry 4.0 in the context of engineering &...

引用

16th International Conference on Society and Information Technologies, ICSIT 2025

作者： Mokgohloa, Kgabo Mosia, Ngaka Ilunga, Masengo Mathenjwa, Samukelisiwe School of Business Leadership University of South Africa Pretoria South Africa Department of Mechanical Bioresources and Biomedical Engineering Pretoria South Africa Department of Civil & Environmental Engineering and Building Science University of South Africa Pretoria South Africa

ISBN: (纸本)9781950492831

The advent of the fourth industrial revolution triggered a response by the manufacturing industry in the form of Industry 4.0, which was spearheaded by the foresight of the German Government. Germany is known for its engineering excellence. The fourth industrial revolution has touched all corners of society, and Higher Education (HE) is not immune to these sweeping winds of digital transformation. This research explored the dynamics of Industry 4.0 influence on Education 4.0, a causal loop diagram (CLD) was conceptualized to capture the dynamics that are at play in the higher education sector. © 2025 International Conference on Society and Information Technologies. All Rights Reserved.

关键词： engineering education

来源：评论

学校读者我要写书评

暂无评论

Shared Spectrum Cooperative Networks: A Linear programming-Based Approach

IEEE Networking Letters

引用

IEEE Networking Letters 2024年第2期6卷 77-81页

作者： Mohammadi, Z. Soleimanpour Moghadam, M. Talebi, S. Ahmadi, H. Shahid Bahonar University of Kerman Department of Electrical Engineering Kerman76169-14111 Iran Texas Biomedical Research Institute San AntonioTX78227 United States Higher Education Complex of Bam Department of Mechanical Engineering Bam76613-14477 Iran University of York School of Physics Engineering and Technology YorkYO10 5DD United Kingdom

This letter investigates a desirable power allocation scheme for shared spectrum networks and formulate it as a constrained optimization model that falls into the nonlinear class fractional programming problems. The investigation focuses on different solutions for the problem under consideration. The first investigated approach utilizes the convex optimization problem (COP) equivalent from of the problem by employing the Charnes-Cooper transformation. This approach finds the optimal solution and thus is the most appropriate from a viewpoint of optimality. The second approach employs the approximate linear programming (LP). From the complexity point of view, the LP problem can be cast as the benchmark. Our proposed linear model has lower complexity with an acceptable accuracy leading to decreasing the time delay to make the final decision on the availability. Simulation results indicate a higher coherence between the two latter approaches and the superior performance than the state-of-the-art literature in different system parameter. © 2019 IEEE.

关键词： Linear programming

来源：评论

学校读者我要写书评

暂无评论

Downsizing and soft X-ray tomography for cellular uptake of interpenetrated metal-organic frameworks

引用

Journal of Materials Chemistry B 2024年第25期12卷 6079-6090页

作者： Yu, Yu-Sheng Liang, Yung-Yi Hsieh, Chia-Chun Lin, Zi-Jing Cheng, Po-Hsiu Cheng, Chih-Chan Chen, Shu-Ping Lai, Lee-Jene Wu, Kevin C.-W. National Taiwan University Department of Chemical Engineering Taipei Taiwan National Health Research Institute Institute of Biomedical Engineering and Nanomedicine Miaoli Taiwan Hsinchu Taiwan International Graduate Program of Molecular Science and Technology Taiwan International Graduate Program Academia Sinica Taipei Taiwan National Taiwan University Taipei Taiwan

Metal-organic frameworks (MOFs) are porous materials with potential in biomedical applications such as sensing, drug delivery, and radiosensitization. However, how to tune the properties of the MOFs for such applications remains challenging. Herein, we synthesized two MOFs, Zr-PEB and Hf-PEB. Zr-PEB can be classified as porous interpenetrated zirconium frameworks (PIZOFs) and Hf-PEB is its analogue. We controlled their sizes while maintaining their crystal structure by employing a coordination modulation strategy. They were designed to serve as sensitizer for X-ray therapy and as potential drug carriers. Comprehensive characterizations of the MOFs' properties have been conducted, and the in vitro biological impacts have been studied. Since viability assay showed that Hf-PEB was more biocompatible compared to Zr-PEB, the cellular uptake of Hf-PEB by cells was evaluated using both fluorescence microscopy and soft X-ray tomography (SXT), and the three-dimensional structure of Hf-PEB in cells was observed. The results revealed the potential of Zr-PEB and Hf-PEB as nanomaterials for biomedical applications and demonstrated that SXT is an effective tool to assist the development of such materials. © 2024 The Royal Society of Chemistry.

关键词： Organometallics

来源：评论

学校读者我要写书评

暂无评论

A Hybrid Set-Theoretic Method for Guaranteed State Estimation of Nonlinear Discrete-Time Systems 3

A Hybrid Set-Theoretic Method for Guaranteed State Estimatio...

引用

3rd IEEE International Conference on Signal, Control and Communication, SCC 2023

作者： Wan, Jian Biomedical and Design Engineering School of Engineering and Technology College of Engineering and Physical Sciences Aston University Department of Mechanical BirminghamB4 7ET United Kingdom

ISBN: (纸本)9798350326390

This paper proposes a hybrid set-theoretic method to implement guaranteed state estimation for nonlinear uncertain discrete-time systems. The proposed method represents a polytopic set exactly at each time instant by the intersection of intervals or boxes and then to propagate these intervals or boxes via zonotopic set computation for guaranteed state estimation of nonlinear discrete-time systems. Such a hybrid set-theoretic approach integrates interval, zonotopic and polytopic set-theoretic methods and makes full use of their specific advantages. The proposed method can be extended for high-dimensional systems due to the use of intervals or boxes rather than parallalotopes for exact set representation. The effectiveness of the proposed hybrid set-theoretic method for guaranteed state estimation of nonlinear uncertain discrete-time systems has been demonstrated via an illustrative example. © 2023 IEEE.

关键词： State estimation

来源：评论

学校读者我要写书评

暂无评论

Enabling direct microcalorimetric measurement of metabolic activity and exothermic reactions onto microfluidic platforms via heat flux sensor integration

引用

Microsystems & Nanoengineering 2023年第3期9卷 103-114页

作者： Signe L.K.Vehusheia Cosmin Roman Olivier Braissant Markus Arnoldini Christofer Hierold Micro and Nanosystems Department of Mechanical and Process EngineeringETH ZurichTannenstrasse 38092 ZurichSwitzerland Center of Biomechanics and Biocalorimetry Department of Biomedical EngineeringUniversity of BaselHegenheimermattweg 167C4123 AllschwilSwitzerland Laboratory for Food Immunology Department of Health Sciences and TechnologyETH ZurichOtto-Stern-Weg 38093 ZurichSwitzerland

All biological processes use or produce *** microcalorimeters have been utilized to study the metabolic heat output of living organisms and heat production of exothermic chemical *** advances in microfabrication have made possible the miniaturization of commercial microcalorimeters,resulting in a few studies on the metabolic activity of cells at the microscale in microfluidic *** we present a new,versatile,and robust microcalorimetric differential design based on the integration of heat flux sensors on top of microfluidic *** show the design,modeling,calibration,and experimental verification of this system by utilizing Escherichia coli growth and the exothermic base catalyzed hydrolysis of methyl paraben as use *** system consists of a Polydimethylsiloxane based flow-through microfluidic chip with two 46µl chambers and two integrated heat flux *** differential compensation of thermal power measurements allows for the measurement of bacterial growth with a limit of detection of 1707 W/m^(3),corresponding to 0.021OD(2·10^(7) bacteria).We also extracted the thermal power of a single Escherichia coli of between 1.3 and 4.5 pW,comparable to values measured by industrial *** system opens the possibility for expanding already existing microfluidic systems,such as drug testing lab-on-chip platforms,with measurements of metabolic changes of cell populations in form of heat output,without modifying the analyte and minimal interference with the microfluidic channel itself.

关键词： system utilizing versatile

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：