检索结果-内蒙古大学图书馆

Thermal, Mechanical and Multiphysics Simulation and Experiments in Micro-Electronics and Micro-Systems EuroSimE

作者： Müge Yaren Yaşartürk Emirhan Yığıt Reza Daryanı Emre Cenk Ersan Mustafa Serdar Çelebı Dept. of Computational Science and Engineering Istanbul Technical University Istanbul Turkey Dept. of Computer Engineering Istanbul Beykent University Istanbul Turkey Dept. of Mechanical Engineering Istanbul Technical University Istanbul Turkiye Dept. of Computational Science and Engineering Istanbul Technical University Istanbul Turkiye

ISBN: (数字)9798350393002

ISBN: (纸本)9798350393019

Aortic valve insufficiency is a life-threatening condition. The primary treatment approach is the replacement of the native valve with prosthetic valves in severe cases. However, current prostheses often lead to complications such as durability issues, the need for lifelong anticoagulation medicine usage, and tissue rejection. As a result, multiple surgical interventions are frequently required for prosthesis replacement. This study highlights the importance of a comprehensive prosthetic design process by encompassing patient-specific design, careful material selection, and advanced three-dimensional fabrication, which is essential for addressing these challenges. To enhance the mechanical durability of polymeric heart valve prostheses, we introduce a framework that combines fluid-structure interaction (FSI) simulations to obtain hemodynamic properties prior to advanced structural analyses. While our methodology is based on determining hemodynamic loads with FSI simulations and transferring them to an additional finite element model (FEM) that captures the detailed mechanical properties of valve tissue, the results presented in this study are obtained using more traditional loading conditions in FEM to ensure the validity and comparability of our findings. These results serve as a foundation for future studies incorporating full FSI-driven structural simulations. These analyses lead to the creation of a geometrically optimized design, fabricated with a digital light processing-based (DLP) method. Subsequently, mechanical testing was conducted to evaluate the effects of this manufacturing technique on material behavior, producing more realistic material model coefficients for use in numerical simulations. Consequently, different ratios of material rigidity in fiber-reinforced models are investigated with FEM analysis. An important novelty of this approach is to be able to detect stress accumulations by taking hemodynamic indices into account to optimize the stress di

关键词： Analytical models Valves Finite element analysis Hemodynamics Numerical models Polymers Heart valves Stress Prosthetics Load modeling

来源：评论

学校读者我要写书评

暂无评论

Design of Lowpass Filter and Wavelet Analysis for Electroretinogram in Dogs 38

Design of Lowpass Filter and Wavelet Analysis for Electroret...

引用

38th IEEE Region 10 Conference, TENCON 2023

作者： Tuntrik, Tunyawat Tuntivanich, Nalinee Banjerdpongchai, David Chulalongkorn University Center of Excellence in Intelligent Control Automation of Process Systems Faculty of Engineering Dept. of Electrical Engineering 254 Phayathai Road Pathumwan Bangkok10330 Thailand Faculty of Veterinary Science Dept. of Veterinary Surgery 254 Phayathai Road Pathumwan Bangkok10330 Thailand

ISBN: (纸本)9798350302196

In frequency domain, wavelet coefficient is one of the characteristics of ERG signal which is hidden in frequency-domain. This paper aims to develop a tool for analyzing the constituent frequencies and time of interest in the dog's ERG signal using wavelet analysis. We design a lowpass filter to reduce noise during the measurement of ERG response. ERG dataset was obtained for the light intensity series and their constituent frequencies are analyzed by using the continuous wavelet transform (CWT). The results show that, in time-domain, as light intensity increases, both amplitudes of a-wave and b-wave are higher. We can visualize the noise interference in the ERG signals. Then a lowpass filter is designed to attenuate the noise effect. The filtered signals have lower a-, and b-waves' amplitude which affect the important characteristics in time domain. Therefore, we choose to filter signal from 26ms onward, the main components are recovered, and the filtered signal becomes smoother. In frequency-domain, the peak magnitude of wavelet coefficients is increased as light intensity increases. © 2023 IEEE.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

Compressive Recovery of Signals Defined on Perturbed Graphs

arXiv

引用

arXiv 2024年

作者： Ghosh, Sabyasachi Rajwade, Ajit Dept. of Computer Science and Engineering Indian Institute of Technology Bombay Mumbai India

Recovery of signals with elements defined on the nodes of a graph, from compressive measurements is an important problem, which can arise in various domains such as sensor networks, image reconstruction and group testing. In some scenarios, the graph may not be accurately known, and there may exist a few edge additions or deletions relative to a ground truth graph. Such perturbations, even if small in number, significantly affect the Graph Fourier Transform (GFT). This impedes recovery of signals which may have sparse representations in the GFT bases of the ground truth graph. We present an algorithm which simultaneously recovers the signal from the compressive measurements and also corrects the graph perturbations. We analyze some important theoretical properties of the algorithm. Our approach to correction for graph perturbations is based on model selection techniques such as cross-validation in compressed sensing. We validate our algorithm on signals which have a sparse representation in the GFT bases of many commonly used graphs in the network science literature. An application to compressive image reconstruction is also presented, where graph perturbations are modeled as undesirable graph edges linking pixels with significant intensity difference. In all experiments, our algorithm clearly outperforms baseline techniques which either ignore the perturbations or use first order approximations to the perturbations in the GFT bases. Copyright © 2024, The Authors. All rights reserved.

关键词： Recovery

来源：评论

学校读者我要写书评

暂无评论

A Comparative Analysis of Early Departure Buttons in Coordinated control of EV Charging

A Comparative Analysis of Early Departure Buttons in Coordin...

引用

IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Baver Ozceylan Gerwin Hoogsteen Johann L. Hurink Dept. of Electrical Engineering Mathematics and Computer Science University of Twente Enschede The Netherlands

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

The increasing adoption of electric vehicles (EVs) necessitates the efficient management of large EV parking facilities to prevent them from exceeding grid capacity and to improve the overall user experience. This paper introduces a data-driven approach for coordinated control of EV charging in an office parking facility, integrating Early Departure Buttons (EDB) into the system. These buttons provide a binary option for users to indicate an earlier departure than a predefined time. We employ the EDB data to improve departure time estimations and to address issues where EVs receive no or only very low energy. We utilize three datasets originating from different geographical locations. One dataset displays a user pattern where users leave shortly after completing their charging, unlike the other datasets which follow typical working hours. Our simulations show that the unique user pattern significantly increases fairness among users, and integrating EDBs improves fairness for the other datasets to levels similar to those of quick station turnover.

关键词： Measurement Schedules Europe Estimation Charging stations Electric vehicle charging User experience Smart grids

来源：评论

学校读者我要写书评

暂无评论

Comprehensive Forecasting-Based Analysis of Hybrid and Stacked Stateful/Stateless Models

arXiv

引用

arXiv 2024年

作者： Saha, Swayamjit Dept. of Computer Science and Engineering Mississippi State University Starkville United States

Wind speed is a powerful source of renewable energy, which can be used as an alternative to the nonrenewable resources for production of electricity. Renewable sources are clean, infinite and do not impact the environment negatively during production of electrical energy. However, while eliciting electrical energy from renewable resources viz. solar irradiance, wind speed, hydro should require special planning failing which may result in huge loss of labour and money for setting up the system. In this paper, we discuss four deep recurrent neural networks viz. Stacked Stateless LSTM, Stacked Stateless GRU, Stacked Stateful LSTM and Statcked Stateful GRU which will be used to predict wind speed on a short-term basis for the airport sites beside two campuses of Mississippi State University. The paper does a comprehensive analysis of the performance of the models used describing their architectures and how efficiently they elicit the results with the help of RMSE values. A detailed description of the time and space complexities of the above models has also been discussed. © 2024, CC BY.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

Differential Co-expression Network Analysis to Investigate Sexual Dimorphism in Colon Cancer

Differential Co-expression Network Analysis to Investigate S...

引用

2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

作者： Alfano, Caterina Farina, Lorenzo Petti, Manuela Sapienza University of Rome PhD Program in Network Oncology and Precision Medicine Rome Italy Sapienza University of Rome PhD Program in Network Oncology and Precision Medicine Dept. of Computer Control and Management Engineering Rome Italy Sapienza University of Rome Dept. of Computer Control and Management Engineering Rome Italy

ISBN: (纸本)9781665468190

Colorectal cancer is the third most diagnosed cancer in the world, but it has a higher mortality rate in men compared to women. However, we are not close to understanding how and why sex influences the outcome of the disease. This study focuses on mRNA expression profiles of colon cancer patients to look for molecular differences in the development of colon cancer between men and women. We used paired expression data (i.e., data collected in pairs of normal and cancer cells, by taking samples from the same individual), we identified differentially expressed genes (cancer vs normal) and computed co-expression and differential co-expression gene networks (men vs women). Doing so, we inferred the main changes and alterations happening in cancer tissues, and specifically how these changes were different among men and women. We found that the co-expression networks of women and men affected by colon cancer are quite different and we reported the genes that show the most differences in this comparison, checking if they could also be associated to sexual dimorphism or sexual hormones. Among these genes we found a interesting presence of genes associated to the Wnt signaling pathway which has been found to be regulated by estrogen and whose activation is strongly linked with colon cancer. © 2022 IEEE.

关键词： Diseases

来源：评论

学校读者我要写书评

暂无评论

Measuring Motor Planning Using an Affordable Sound-Based Virtual Reality Setup for Accessible Perception-Action Studies

Measuring Motor Planning Using an Affordable Sound-Based Vir...

引用

Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), IEEE Conference on

作者： Roberto Barumerli Alessandro Giuseppe Privitera Alessandro Carollo Giovanni Fontana Eros Patarini Alberto Zaninelli Paola Cesari Michele Geronazzo Dept. of Neuroscience Biomedicine and Movement University of Verona (IT) Dept. Mathematics Computer Science and Physics University of Udine (IT) Dept. of Engineering and Management University of Padova (IT)

ISBN: (数字)9798331514846

ISBN: (纸本)9798331525637

The recent availability of consumer head-mounted displays (HMDs) for virtual reality (VR) provides an immersive and affordable platform to study sound perception and action outside laboratory settings. While traditional perception-action studies rely on complex systems like motion capture, HMDs integrate dynamic sound delivery and real-time movement tracking. In this study, we adapted the experimental protocol from Geronazzo et al. (2023) to test the feasibility of measuring user behaviour with a consumer-grade HMD. Instead of muscular activity measured from surface electromyography, we analysed reaction times using kinematic data from the HMD’s onboard sensors and controllers. Data from ten participants showed that spatial properties of looming sounds influence auditory perception-action loops, aligning with findings from the original study. Our results demonstrate that reaction time is a scalable and meaningful measure for studying space perception through sound, providing a possible alternative to muscular activity measurements and showcasing the potential of consumer-grade VR for accessible and robust experimental research despite current limitations.

关键词： Three-dimensional displays Atmospheric measurements Tracking Current measurement Virtual reality Resists User interfaces Particle measurements Time measurement Sensors

来源：评论

学校读者我要写书评

暂无评论

The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing

arXiv

引用

arXiv 2024年

作者： Li, Muzhi Hu, Minda King, Irwin Leung, Ho-Fung Dept. of Computer Science & Engineering The Chinese University of Hong Kong Hong Kong

The Knowledge Graph Entity Typing (KGET) task aims to predict missing type annotations for entities in knowledge graphs. Recent works only utilize the structural knowledge in the local neighborhood of entities, disregarding semantic knowledge in the textual representations of entities, relations, and types that are also crucial for type inference. Additionally, we observe that the interaction between semantic and structural knowledge can be utilized to address the false-negative problem. In this paper, we propose a novel Semantic and Structureaware KG Entity Typing (SSET) framework, which is composed of three modules. First, the Semantic Knowledge Encoding module encodes factual knowledge in the KG with a Masked Entity Typing task. Then, the Structural Knowledge Aggregation module aggregates knowledge from the multi-hop neighborhood of entities to infer missing types. Finally, the Unsupervised Type Re-ranking module utilizes the inference results from the two models above to generate type predictions that are robust to false-negative samples. Extensive experiments show that SSET significantly outperforms existing state-of-the-art methods. 1 © 2024, CC BY-NC-SA.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Explainable Adversarial Attacks on Coarse-to-Fine Classifiers

Explainable Adversarial Attacks on Coarse-to-Fine Classifier...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Akram Heidarizadeh Connor Hatfield Lorenzo Lazzarotto HanQin Cai George Atia Dept. of Electrical and Computer Engineering University of Central Florida Orlando FL USA School of Technology Pontifícia Universidade Católica do Rio Grande do Sul Porto Alegre Brazil Dept. of Statistics and Data Science Dept. of Computer Science University of Central Florida Orlando FL USA Dept. of Electrical and Computer Engineering Dept. of Computer Science University of Central Florida Orlando FL USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Traditional adversarial attacks typically aim to alter the predicted labels of input images by generating perturbations that are imperceptible to the human eye. However, these approaches often lack explainability. Moreover, most existing work on adversarial attacks focuses on single-stage classifiers, but multi-stage classifiers are largely unexplored. In this paper, we introduce instance-based adversarial attacks for multi-stage classifiers, leveraging Layer-wise Relevance Propagation (LRP), which assigns relevance scores to pixels based on their influence on classification outcomes. Our approach generates explainable adversarial perturbations by utilizing LRP to identify and target key features critical for both coarse and fine-grained classifications. Unlike conventional attacks, our method not only induces misclassification but also enhances the interpretability of the model’s behavior across classification stages, as demonstrated by experimental results.

关键词： Perturbation methods Decision making Signal processing Acoustics Speech processing

来源：评论

学校读者我要写书评

暂无评论

Blockchain-Aided Privacy Preserving Framework for Federated Learning

Blockchain-Aided Privacy Preserving Framework for Federated ...

引用

Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Chitresha Jain Payal Chaudhari Dept. of Computer Science and Engineering Pandit Deendayal Enerygy University Gandhinagar India

Blockchain has shown tremendous growth in the past few years because of its decentralized and immutable architecture, which makes transactions transparent, making it a feasible choice for authentication and security purposes. Federated learning is a collaborative model training method that can benefit from Blockchain Technology. It is vulnerable to a single point of failure while performing aggregation in a centralized server architecture. Blockchain-aided Federated Learning can be proposed for enhancing the security and privacy of user data together with removing a single aggregator. It also supports a mechanism of giving rewards to users in the form of cryptocurrency to encourage users to follow the protocol. This paper introduces a framework named Blockchain-Aided privacy preserving framework for Federated Learning (BPPF) that helps in model training on the user side with added security and privacy.

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：