检索结果-内蒙古大学图书馆

Three-Dimensional Shear Wave Elastography Using a 2D Row Column Addressing(RCA)Array

Biomedical engineering Frontiers 2022年第1期3卷 337-347页

作者： Zhijie Dong Jihun Kim Chengwu Huang Matthew RLowerison U-Wai Lok Shigao Chen Pengfei Song Beckman Institute for Advanced Science and Technology University of Illinois Urbana-ChampaignUrbanaILUSA Department of Electrical and Computer Engineering University of Illinois Urbana-ChampaignUrbanaILUSA Division of ICT Convergence Engineering/Major in Electronic Engineering Kangnam UniversityRepublic of Korea Department of Radiology Mayo Clinic College of Medicine and ScienceRochesterMNUSA

*** develop a 3D shear wave elastography(SWE)technique using a 2D row column addressing(RCA)array,with either external vibration or acoustic radiation force(ARF)as the shear wave *** *** proposed method paves the way for clinical translation of 3D SWE based on the 2D RCA,providing a low-cost and high volume rate solution that is compatible with existing clinical *** is an established ultrasound imaging modality that provides a direct and quantitative assessment of tissue stiffness,which is significant for a wide range of clinical applications including cancer and liver *** requires high frame rate imaging for robust shear wave *** to the technical challenges associated with high volume rate imaging in 3D,current SWE techniques are typically confined to *** SWE from 2D to 3D is significant because of the heterogeneous nature of tissue,which demands 3D imaging for accurate and comprehensive ***.A 3D SWE method using a RCA array was developed with a volume rate up to 2000 *** performance of the proposed method was systematically evaluated on tissue-mimicking elasticity phantoms and in an in vivo case ***.3D shear wave motion induced by either external vibration or ARF was successfully detected with the proposed *** 3D shear wave speed maps were reconstructed for phantoms and in *** high volume rate 3D imaging provided by the 2D RCA array provides a robust and practical solution for 3D SWE with a clear pathway for future clinical translation.

关键词： Shear elasticity typically

来源：评论

学校读者我要写书评

暂无评论

Chirality-Driven Analysis of CNFET 5T Spiking Neuron for Ultra-Low Energy Computing

Chirality-Driven Analysis of CNFET 5T Spiking Neuron for Ult...

引用

2025 IEEE SoutheastCon, SoutheastCon 2025

作者： Kirtonia, Prosen Williams, Shelby Khalil, Kasem Bayoumi, Magdy Univ. of Mississippi Department of Electrical and Computer Engineering OxfordMS38677 United States University of Louisiana at Lafayette Dept. of Electrical and Computer Engr. LafayetteLA70504 United States Center for Advanced Computer Studies Univ. of Louisiana at Lafayette LafayetteLA70504 United States

ISBN: (纸本)9798331504847

Research into suitable alternatives to silicon has significantly expanded over the last decade due to the diminishing returns of Moore's law. Spiking Neural Networks (SNNs) offer the crucial advantage of low-power computing among Neural Networks (NNs). In this work, we propose an ultra-low energy, high-frequency spiking neuron circuit utilizing Carbon-Nanotube Field Effect Transistors (CNFETs). The key idea behind this work is to design a neuron with reduced energy consumption to enhance the fundamental advantage of SNNs, leveraging carbon instead of silicon, and to analyze performance by varying the chirality vector of CNFETs. Furthermore, we compare the computational outcomes of the circuit for CNFETs and CMOS. The CNFET neuron demonstrates 34.6 times faster performance than CMOS while consuming 5.25 times less energy. However, chirality vector variation is inversely proportional to the transistor's threshold voltage. Therefore, the peak spiking frequency is achieved at 80.32 GHz while consuming only 251.95 aJ per spike, using low-threshold voltage CNFETs with chirality number, m=22. Overall, the design and performance evaluation across several CNFET characteristics, compared with CMOS, highlight the potential of carbon as a promising alternative to silicon for SNNs, aligning with their key advantages. © 2025 IEEE.

关键词： CMOS integrated circuits

来源：评论

学校读者我要写书评

暂无评论

A Novel Smart Facial Features for Real-Time Motorists Sleepiness Prediction and Alerting System Using Hybrid Deep Convolutional Neural Network in computer Vision 1st

A Novel Smart Facial Features for Real-Time Motorists Sleepi...

引用

1st International Conference on Innovation and Emerging Trends in Computing and Information Technologies, IETCIT 2024

作者： Senthil, G.A. Prabha, R. Sridevi, S. Deepa, R. Shimona, S. Department of Information Technology Agni College of Technology Chennai India Department of Electronics and Communication Engineering Sri Sai Ram Institute of Technology Chennai India Department of Computer Science and Engineering Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer Science and Engineering Agni College of Technology Chennai India

ISBN: (纸本)9783031808388

Motorists Sleepiness prediction is a process of detecting when an Operator is experiencing Sleepiness or fatigue while driving a vehicle. This is an important safety feature, as Sleepy driving can lead to accidents and injuries. There are several methods used to predict Operator Sleepiness, including physiological monitoring, behavioural monitoring, and hybrid methods. Physiological monitoring methods like CNN involve measuring the Operator's physiological signals, such as image or video frame processing from a camera. These frames can provide information about the Operator's level of alertness and can be used to detect Sleepiness. Behavioural monitoring methods that are DCNN on the other hand, involve observing the Operator's behaviour, such as comparing the frames with the processed dataset. This information is mainly used to detect Sleepiness. Hybrid methods combine physiological and behavioural monitoring methods of CNN and DCNN and added to the fuzzy logic algorithm makes an HDCNN (Hybrid Deep Convolutional Neural Network) to provide a more comprehensive assessment of the Operator's level of Sleepiness and improves the accuracy. This article explains techniques to spot the lips and eyes in a video taken during a research project by the Indian institute of Road Safety (IIROS). A footage of the transition from awake to fatigued to drowsy will be captured using the digital camera. The Proposed algorithm's function is to locate the face recognized in a captured video image. The face region is used mostly for its ability to act independently. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Deep Learning Enhancing Performance Using Support Vector Machine HTM Cortical Learning Algorithm 2

Deep Learning Enhancing Performance Using Support Vector Mac...

引用

2nd International Conference on Physics and Applied Sciences, ICPAS 2021

作者： Akila, D. Pal, Souvik Jayakarthik, R. Chattopadhyay, Sitikantha Obaid, Ahmed J. Department of Information Technology Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer Science and Engineering Global Institute of Management and Technology Kolkata India Department of Computer Science Vels Institute of Science Technology and Advanced Studies Chennai India Department of Computer Science and Engineering Brainware University Barasat India Faculty of Computer Science and Mathematics University of Kufa Iraq

Deep Learning is a function of AI that duplicates the mechanisms of human thought in the processing of information and selection processes. The aim of this study is to apply a technology known as SVMHTMC to improve deep learning. The HTM Cortical Learning Approach and the Support Vector Machine have been combined in this suggested algorithm. The deep learning technique is based on the assumption that the mean absolute percentage error is reduced. Aside from the overlapping duty cycle, the high proportion of which shows the speed of the classifier's processing function. The findings demonstrate that by halving the value, the suggested set of criteria minimizes the absolute proportion of mistakes. In addition, raise the percentage of overlapping duty cycles by 17%. © Published under licence by IOP Publishing Ltd.

关键词： Support vector machines

来源：评论

学校读者我要写书评

暂无评论

Muslim-Violence Bias Persists in Debiased GPT Models

arXiv

引用

arXiv 2023年

作者： Hemmatian, Babak Baltaji, Razan Varshney, Lav R. Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign United States Department of Electrical and Computer Engineering

Abid et al. (2021) showed a tendency in GPT-3 to generate mostly violent completions when prompted about Muslims, compared with other religions. Two pre-registered replication attempts found few violent completions and only a weak anti-Muslim bias in the more recent InstructGPT, fine-tuned to eliminate biased and toxic outputs. However, more pre-registered experiments showed that using common names associated with the religions in prompts increases several-fold the rate of violent completions, revealing a significant second-order anti-Muslim bias. ChatGPT showed a bias many times stronger regardless of prompt format, suggesting that the effects of debiasing were reduced with continued model development. Our content analysis revealed religion-specific themes containing offensive stereotypes across all experiments. Our results show the need for continual de-biasing of models in ways that address both explicit and higher-order associations. © 2023, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Robust Beamfocusing Against Positioning Errors Over Sub-Terahertz LOS Channels

Robust Beamfocusing Against Positioning Errors Over Sub-Tera...

引用

Asilomar Conference on Signals, Systems & computers

作者： Sota Uchimura Koji Ishibashi Josep M. Jornet The Advanced Wireless and Communication Research Center (AWCC) The University of Electro-Communications Department of Electrical and Computer Engineering & Institute for the Wireless Internet of Things Northeastern University

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

We consider a robust hybrid beamfocusing scheme against statistical and norm-bounded positioning errors to improve a total system data rates in sub-terahertz (THz) communications systems. In particular, an ergodic sum rate maximization problem is formulated, where the objective function consists of the expectation of spectral efficiencies over positioning errors. The expected values are approximated by Jensen's inequality and Taylor approximation, which enable a joint transmit and receive beamfocusing design by deterministic convex optimization approaches. Numerical results confirm that the proposed robust approach achieves higher data rates than conventional non-robust approaches and a singular value decomposition (SVD) beamfocusing with perfect positioning information.

关键词： computers Closed-form solutions Spectral efficiency Linear programming Convex functions Optimization Terahertz communications Singular value decomposition

来源：评论

学校读者我要写书评

暂无评论

Approaching Convergence from an Undergraduate engineering Perspective

Approaching Convergence from an Undergraduate Engineering Pe...

引用

Frontiers in Education (FIE) Conference

作者： Michael S. Thompson Sarah Applehans Alan Cheville Rebecca Thomas Stewart J. Thomas Robert Nickel Philip Asare Department of Electrical and Computer Engineering Bucknell University Lewisburg PA USA Department of Engineering Studies Lafayette University Easton PA USA Institute for Studies in Transdisciplinary Engineering Education and Practice University of Toronto Toronto ON CA

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

This research-to-practice full paper presents and approach to bringing convergence to the undergraduate engineering context. Convergence is the process of integrating a variety of ideas, skills, and methods to create new ideas, skills, and methods in order to address complex, socially relevant challenges like the UN Sustainable Development Goals [1] and the National Academy of engineering's (NAE) Grand Challenges [2]. In the US, the National Science Foundation (NSF) has been a major driver of convergence related research and has focused on work primarily at the graduate level and beyond. To explore how convergence concepts translate to an undergraduate engineering context this research to practice paper describes a taxonomy that translates convergent knowledge, skills, and mindsets into the domain of undergraduate engineering education. While we do not believe it is reasonable to expect undergraduates to engage with convergence in the same way as graduate students or postdoctoral scholars, we believe that they can develop in areas that will allow them to engage in convergent work later in their careers. This paper first defines convergence and then examines the challenges and opportunities related to developing a student's ability to do convergent work in an undergraduate context. The developed taxonomy outlines the knowledge, skills, mindsets, and structures that support convergent work from the larger research literature, and adapts these to an undergraduate context. The taxonomy is then used to conduct a gap analysis of an undergraduate electrical and computer engineering degree program. This analysis is based on the syllabi. This work was conducted in the context of an electrical and computer engineering department situated in a medium-sized primarily undergraduate liberal arts institution in the mid-Atlantic region. As the challenges and opportunities are similar to but also unique to this institution this work forms a rich case study that can inform similar ef

关键词： Science - general Knowledge engineering Art Taxonomy US Government Sustainable development engineering education Convergence

来源：评论

学校读者我要写书评

暂无评论

Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity

Early Discovery of Emerging Entities in Persian Twitter with...

引用

International Conference on Web Research (ICWR)

作者： Shahin Yousefi Mohsen Hooshmand Mohsen Afsharchi Dept. of Computer Science and Information Technology Institute for Advanced Studies in Basic Sciences (IASBS) Zanjan Iran Dept. of Electrical & Computer Engineering University of Zanjan Zanjan Iran

Discovering emerging entities (EEs) is the problem of finding entities before their establishment. These entities can be critical for individuals, companies, and governments. Many of these entities can be discovered on social media platforms, e.g. Twitter. These identities have been the spot of research in academy and industry in recent years. Similar to any machine learning problem, data availability is one of the major challenges in this problem. This paper proposes EEPT that is an online clustering method able to discover EEs without any need for training on a dataset. Additionally, due to the lack of a proper evaluation metric, this paper uses a new metric to evaluate the results. The results show that EEPT is promising and finds significant entities before their establishment.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Outage-Minimization Power and Spectrum Allocation for Terahertz Communications Systems

Outage-Minimization Power and Spectrum Allocation for Terahe...

引用

Asilomar Conference on Signals, Systems & computers

作者： Sota Uchimura Koji Ishibashi Josep Miquel Jornet The Advanced Wireless and Communication Research Center (AWCC) The University of Electro-Communications Department of Electrical and Computer Engineering Institute for the Wireless Internet of Things Northeastern University

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

We propose joint transmit power and spectrum allocation schemes for terahertz (THz) communication systems with multi-connectivity technologies to overcome random path blockage effects and molecular absorption losses. The proposed approaches focus on quality of service (QoS) guarantees for instantaneous throughput fluctuated by the blockage dynamics and enhancement of the average total system throughput over time. To this end, a sum-of-outage-probability minimization problem and a geometric mean maximization problem for the throughput are formulated for the former and latter concepts, respectively. Moreover, a regularized sum-of-outage-probability minimization problem in which a regularizer suppresses throughput losses is formulated to deal with both the QoS requirement and the throughput enhancement. Stochastic learning and convex optimization mechanism are introduced to solve those problem. Numerical results confirm that the proposed approaches show the better tradeoff between the outage probability and the total system throughput than the conventional approaches.

关键词： Fluctuations Absorption Quality of service Probability Throughput Minimization Propagation losses Power system reliability Resource management Terahertz communications

来源：评论

学校读者我要写书评

暂无评论

Autonomous Low Power Energy Management Bridge for Industry IoT Application 21

Autonomous Low Power Energy Management Bridge for Industry I...

引用

21st International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS 2022

作者： Yamamoto, Koki Utsumi, Shion Fujita, Takayuki Ebara Corporation Technologies R&D and Intellectual Property Division Japan University of Hyogo Department of Electrical Engineering and Computer Science Japan University of Hyogo Advanced Medical Engineering Research Institute Japan

ISBN: (纸本)9781665493062

This work reported the autonomous battery-less power management system for the IoT (Internet of Things) application that is based on thermoelectrical energy harvesting and power management IC (PMIC). In the proposed design for targeting IoT, the bridge part that transmits the signal from the local area network e.g., Wi-Fi or BLE (Bluetooth® low energy) to the long-range protocol is essential to optimization. It is focused on the collaboration with the LPWA (Low Power Wide Area) network and BLE protocol to realize them, the programmed system controls the power management system. Lastly, the design indicated the possibility to utilize the autonomous system in IoT applications as a monitoring system in the industry with TEG (Thermoelectric Generator) harvesting. Especially, the temperature difference of about 8.6 degrees Celsius could drive the IoT utility with charging time every 3 hours 40 minutes when hot-starting from capacitance energy that should be semi-permanently utilized are evaluated. The work described that it could be effectively utilized to expand the IoT applications as close to easily and at a low cost. © 2022 IEEE.

关键词： Energy harvesting

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：