检索结果-内蒙古大学图书馆

1st International Conference on Circuits, Power, and Intelligent Systems, CCPIS 2023

作者： Mohammed, Ahmed Musa Samikannu, Ravi Kumar, P. Marish Sailaja, Indu Venkatesh, V. Yahya, Abid Tlemcen Algeria Saveetha Institute of Medical and Technical Sciences Department of Vlsi & Microelectronics Chennai India Easwari Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Rajalakshmi Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Botswana International University of Science and Technology Department of Electrical Computer and Telecommunications Engineering Palapye Botswana

ISBN: (纸本)9798350315769

The increasing population in developing countries is putting pressure on the demand for more food production, and modernization efforts are being made in the agricultural sector. In many developing countries, rainwater is heavily relied upon for agricultural practices, but the government and regional authorities have implemented various measures to enhance the accessibility of water for agriculture throughout the year. The majority of farmers depend on groundwater as their main water source, but the increasing prices of fossil fuels and inadequate electric grids in remote areas pose challenges to traditional water pumping methods. One solution to achieving sustainable and profitable agriculture is using renewable energy sources like solar energy for water pumping, which offers advantages such as reduced pollution and no fuel costs in the long term. Developing countries have widely adopted solar pumps, but the success of this technology depends on various elements like climatic conditions, crop type, groundwater availability, government support, and the cost and availability of conventional electricity. © 2023 IEEE.

关键词： Solar energy

来源：评论

学校读者我要写书评

暂无评论

Graph-based deep learning models in the prediction of early-stage Alzheimers 46

Graph-based deep learning models in the prediction of early-...

引用

46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Thapaliya, Bishal Wu, Zundong Sapkota, Ram Ray, Bhaskar Suresh, Pranav Ghimire, Santosh Calhoun, Vince Liu, Jingyu Georgia State University Department of Computer Science Atlanta United States Tri-Institutional Center for Translational Research in Neuroimaging and Data Science United States Georgia Institute of Technology School of Electrical and Computer Engineering Atlanta United States Tribhuvan University Department of Applied Sciences and Chemical Engineering Nepal

ISBN: (纸本)9798350371499

Alzheimer's disease is the most common age-related problem and progresses in different stages, from cognitively normal to early mild cognitive impairment, and severe dementia. This study investigates the predictive potential of resting-state functional magnetic resonance imaging (rs-fMRI) and its derived functional connectivity (FC) in understanding Alzheimer's progression. Leveraging deep learning and graph-based models, we introduce two key contributions: 1) a comparative analysis of rs-fMRI time points and FC for Alzheimer's prediction. 2) an innovative graph transformer variant incorporating self-clustering for enhanced prediction accuracy. Experiments on the Alzheimer's Disease Neuroimaging Initiative dataset with 830 subjects reveal two notable conclusions. Firstly, rs-fMRI time points offer limited utility compared to functional network connectivity for transformer-based models, even when considering temporal information. Secondly, a clustering-based attention module proves effective for classifying brain networks in predicting Alzheimer's disease progression, providing valuable insights for future research and clinical applications. © 2024 IEEE.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

On the Reliability of High-Performance Dual Gate (DG) W-Doped In2O3 FET

On the Reliability of High-Performance Dual Gate (DG) W-Dope...

引用

2024 IEEE Symposium on VLSI Technology and Circuits, VLSI Technology and Circuits 2024

作者： Aabrar, Khandker Akif Park, Hyeonwoo Kirtania, Sharadindu G. Sarkar, Eknath Al Mamun, Md Abdullah Deng, Sunbin Zhang, Chengyang Rayner, Gilbert B. Cho, Kyeongjae Datta, Suman School of Electrical and Computer Engineering Georgia Institute of Technology AtlantaGA30332 United States University of Texas at Dallas Department of Materials Science and Engineering RichardsonTX75080 United States Kurt J. Lesker Company Jefferson HillsPA15025 United States

ISBN: (纸本)9798350361469

We demonstrate a high performance back-end-of-line (BEOL) compatible tungsten (W)-doped In2O3 channel (IWO) dual gate (DG) field-effect transistor (FET) with ultra low-leakage current -15 A/μ m and high ION/IOFF ratio of 5.8× 1011 at 2.5V overdrive (Vov). In addition, the IWO DG FET demonstrates a record low negative bias temperature instability (NBTI) of 7.2mV, record low hot carrier degradation (HCD) of 63mV and a low positive bias temperature instability (PBTI) of 85mV at 1V Vov which makes IWO DG FET a potential candidate for realizing high density embedded-DRAM for last-level cache (LLC). Furthermore, we develop a comprehensive modeling framework for assesing the reliability of amorphous oxide semiconductor (AOS) channel FETs which can provide insights into the threshold voltage (VT) instability mechanisms and help design appropriate mitigation strategies. © 2024 IEEE.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Progress of materials and Devices for Neuromorphic Vision Sensors

引用

Nano-Micro Letters 2022年第12期14卷 239-271页

作者： Sung Woon Cho Chanho Jo Yong-Hoon Kim Sung Kyu Park Department of Electrical and Electronics Engineering Chung-Ang UniversitySeoul 06974Republic of Korea Department of Advanced Components and Materials Engineering Sunchon National UniversitySunchŏnJeonnam 57922Republic of Korea School of Advanced Materials Science and Engineering Sungkyunkwan UniversitySuwon 16419Republic of Korea SKKU Advanced Institute of Nanotechnology(SAINT) Sungkyunkwan UniversitySuwon 16419Republic of Korea

The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords:smaller,faster,and smarter.(1)Smaller:Devices are becoming more compact by integrating previously separated components such as sensors,memory,and processing *** a prime example,the transition from traditional sensory vision computing to in-sensor vision computing has shown clear benefits,such as simpler circuitry,lower power consumption,and less data redundancy.(2)Swifter:Owing to the nature of physics,smaller and more integrated devices can detect,process,and react to input more *** addition,the methods for sensing and processing optical information using various materials(such as oxide semiconductors)are evolving.(3)Smarter:Owing to these two main research directions,we can expect advanced applications such as adaptive vision sensors,collision sensors,and nociceptive *** review mainly focuses on the recent progress,working mechanisms,image pre-processing techniques,and advanced features of two types of neuromorphic vision sensors based on near-sensor and in-sensor vision computing methodologies.

关键词： In-sensor computing Near-sensor computing Neuromorphic vision sensor Optoelectronic synaptic circuit Optoelectronic synapse

来源：评论

学校读者我要写书评

暂无评论

ViT-Reg: Regression-Focused Hardware-Aware Fine-Tuning for ViT on tinyML Platforms

IEEE Design and Test

引用

IEEE Design and Test 2024年

作者： Shaharear, Md Ragib Mazumder, Arnab Neelim Mohsenin, Tinoosh Johns Hopkins University Department of Electrical & Computer Engineering United States University of Maryland Department of Computer Science & Electrical Engineering Baltimore County United States

Vision Transformers (ViTs) have demonstrated significant improvements in image classification tasks. However, deploying them on resource-constrained tinyML platforms presents considerable challenges due to their high computational demands and dynamic power consumption. Current methods rely heavily on computationally intensive architecture search techniques to identify optimal configurations, which are not well-suited for tinyML devices. This paper introduces ViT-Reg, a regression-based hardware-aware fine-tuning approach that identifies suitable ViT architectures for tinyML platforms. The proposed method enables efficient exploration of the configuration space, drastically reducing the computational overhead typically associated with architecture searches. ViT-Reg is hardware-aware, utilizing polynomial regression to narrow the search space while treating accuracy as a constraint. In experiments conducted on the CIFAR-10 and Tiny-ImageNet datasets, ViT-Reg deployed on Nvidia Jetson Nano achieved a 55.6% and 37.4% reduction in dynamic power consumption, along with a 65% and 60% improvement in energy efficiency compared to baseline ViT models. Finally, ViT-Reg provides an 8× improvement in energy efficiency relative to recent hardware implementations of the VGG model. © 2024 IEEE.

关键词： real-time and energy efficient deployment Regression tinyML Hardware Vision Transformer

来源：评论

学校读者我要写书评

暂无评论

Exceptional-point degeneracy as a desirable operation point for an oscillator array with discrete nonlinear gain and radiative elements

引用

Physical Review Applied 2024年第2期21卷 024037-024037页

作者： Alireza Nikzamir Filippo Capolino Department of Electrical Engineering and Computer Science University of California Irvine 92697 CA United States

We show that an oscillator array prefers to operate at an exceptional point of degeneracy (EPD) occurring in a waveguide periodically loaded with discrete nonlinear gain and radiating elements. The concept of the EPD is employed to conceptualize an exceptional synchronization regime, which leads to enhanced radiating power efficiency. The system maintains a steady-state degenerate mode of oscillation at a frequency of 3 GHz, even when the small-signal nonlinear gain values are nonuniform along the array. We designed the system using small-signal gain to work at the EPD of zero phase shift in consecutive unit cells. Contrarily to the original expectation of zero phase shift, after reaching saturation, the time-domain signal in consecutive unit cells displays a π phase shift. Hence, we demonstrate that the saturated system tends to oscillate at a distinct EPD, associated to a π phase shift between consecutive cells, than the one at which the system was originally designed using small-signal gain. This alternative EPD at which the nonlinear system is landing is associated to higher radiating power efficiency with respect to power provided by nonlinear gains. Finally, we demonstrate that the oscillation frequency is independent of the length of the array, contrarily to what happens ordinary oscillating systems based on one-dimensional cavity resonances. These findings may have a high impact on high-power radiating arrays with distributed active elements.

关键词： Electromagnetic waves & oscillations Optical & microwave phenomena Optoelectronics Photonics Coupled oscillators Non-Hermitian systems Waveguide arrays Cavity resonators

来源：评论

学校读者我要写书评

暂无评论

A Capacitive Backscatter System for Intra-Body Identification

IEEE Journal of Radio Frequency Identification

引用

IEEE Journal of Radio Frequency Identification 2025年 9卷 308-319页

作者： Mohammed, Noor Jackson, Robert W. Lee, Sunghoon Ivan Gummeson, Jeremy University of Massachusetts Amherst Electrical and Computer Engineering department United States University of Massachusetts Amherst Electrical and Computer Engineering United States University of Massachusetts Amherst College of Information and Computer Science United States University of Massachusetts Amherst Electrical and Computer Engineering United States

In this paper, we present a new intra-body communication technology that uses capacitive backscatter. The main goal of this technology is to allow for the transmission of binary IDs between a skin-coupled transceiver and a batteryless tag by utilizing finite conductivity of skin and air coupling capacitance. The intra-body identification (IBID) hardware system consists of two pairs of skin-coupled 50 ohm galvanically isolated electrodes: the interrogator(fixed size: 30 cm × 40 cm) and the tag (arbitrary shape and size). The flexibility of electrode shape enables the IBID tag to be easily deployed on various everyday objects. The interrogator is connected to a battery-powered wearable transceiver. The study investigated the capacitive backscatter phenomenon using two everyday object models: a remote control model and a rectangular single switch panel. The experimental results demonstrate the hardware system’s ability to interrogate binary IDs seamlessly using 40 MHz pulsed radio frequency (RF) carrier with 33% duty cycle. However, the variable dimensions of the tag electrode lead to varying path gain within a short body channel, resulting in low available power for the tag. To address this challenge, we developed an ultra-low powered IBID tag that can sustain its operation at -11dBm peak RF power and transmit multiple bursts of 16-bit binary packets. © 2017 IEEE.

关键词： Backscattering

来源：评论

学校读者我要写书评

暂无评论

Enhancing Security in Physical Layer Communications Based on Continuous Wavelet Transform with Convolutional Vision Transformer 4

Enhancing Security in Physical Layer Communications Based on...

引用

4th IEEE International Conference on Mobile Networks and Wireless Communications, ICMNWC 2024

作者： Obaid, Saif Siri, Dharmapuri Sathish Kumar, G. Kumar, S. Senthil Rajasekaran, Arun Sekar College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq Gokaraju Rangaraju Institute of Engineering and Technology Department of Computer Science and Engineering Hyderabad India Gojan School of Business and Technology Department of Information Technology Chennai India New Prince Shri Bhavani College of Engineering and Technology Department of Electrical and Electronics Engineering Chennai India Sr University Department of Electronics and Communication Engineering Warangal India

ISBN: (纸本)9798350352931

Nowadays, the Enhancing Security in Physical Layer Communications underway on implementing the 6G radio because the attacks are increasing more on wireless edges such as jamming and false based stations and it placed a low-cost software radio. However, in Cyber-Physical System (CPS) the unauthorized access affects system process, such information lacks on the system and there is no adverse effect about such data. The quick environment changes and unpredicted events are such various factor that affect CPS, and it gives false alarm on the detection of cyber-physical attack. To overcome these drawbacks an ensemble method combining Continuous Wavelet Transform (CWT) with Convolutional Vision Transformer (CVT) to enhance physical layer communication security. The process involves collecting Real-World Photoplethysmography (RW-PPG) dataset and then the preprocessing is done with the Principal Component Analysis (PCA) and applying CWT with CVT signal transformations. Classification is then performed using Automatic Modulation Classification (AMC) and Specific Emitter Identification (SEI). The proposed CWT with CVT model obtained high results in the context of precision (PPV), achieving a score of 0.692, Sensitivity (TPR) of 0.841, Specificity (TNR) of 0.985, and Area Under the Curve (AUC) of 0.827 when compared to existing methods like Recurrent Neural Network (RNN) respectively. © 2024 IEEE.

关键词： Convolution

来源：评论

学校读者我要写书评

暂无评论

Capsule Network with Long Short-Term Memory for Fault Detection and Diagnosis in electrical Power Grids 1

Capsule Network with Long Short-Term Memory for Fault Detect...

引用

1st International Conference on Software, Systems and Information Technology, SSITCON 2024

作者： Alzubaidi, Laith H. Gopalakrishnan, Anushree Anguraj, K. Vijayakumari, G. Sundaram, S. Meenakshi The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Kumaraguru College of Technology Department of Electrical and Electronics Engineering Coimbatore India Sona College of Technology Department of Electronics and Communication Engineering Salem India New Prince Shri Bhavani College of Engineering and Technology Department of Electronics and Communication Engineering Chennai India Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350352931

The identification of fault types and their locations is crucial for power system when a fault occurs in the lines. Subsequently various type of faults and producing maximum capacity of electrical power grids is processing in the static mode. However, the electrical power transmission is access in static mode, dynamic power generated is failure to analysis the traditional mechanism. This paper proposed Capsule Network with Long Short-Term Memory (LSTM) for detection various type of faults as parameters of the model to expand the scope of the fault identification. Data collected from the simulated three phase of the grid power that change in the voltages of current, which is enhance capsule network combined the LSTM in electrical power transmission system. The combination of capsule network and LSTM technique enhance the detection of different types of faults. The capsule network captures the spatial hierarchies and analysis relationship between various feature, while LSTM handle the temporal dependencies in grid power. The static and dynamic behaviours handle the capsule network and LSTM dynamically generation pattern of power grid data. The performance of proposed method is evaluated with various metrics such as accuracy, precision, recall and f1-score metrics on grids power. © 2024 IEEE.

关键词： Power grids

来源：评论

学校读者我要写书评

暂无评论

Hybrid Compiler and Hardware Approach to Mitigate Side-Channel Vulnerabilities in Parallel GPU Architectures 8

Hybrid Compiler and Hardware Approach to Mitigate Side-Chann...

引用

8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Lungu, Nelson Dash, Bibhuti Bhusan De Chandra, Utpal Dash, Bibek Bikram Pattanayak, Binod Kumar Patra, Sudhansu Shekhar Electrical and Electronical Engineering University of Zambia Lusaka Zambia School of Computer Applications Kiit Deemed to be University Bhubaneswar India HealthWorksAI Bangalore India Iter Siksha 'O' Anusandhan University Department of Computer Science & Engineering Odisha Bhubaneswar India

ISBN: (纸本)9798350376425

Graphics processing units (GPUs) have become ubiquitous in computing systems, from personal devices to data centres. Their massively parallel architecture delivers tremendous performance for graphics and general-purpose workloads. However, the open nature of GPUs also introduces security vulnerabilities that can be exploited through side-channel attacks. Defending against such threats often incurs performance overhead, creating tradeoffs between security and speed. This article examines recent research analysing and mitigating GPU side channel attacks while maintaining acceptable performance and presented a multi-faceted defence strategy combining compiler transformations, runtime monitoring, and microarchitectural techniques to balance security and performance. The methodology integrates formal threat models, empirical side-channel evaluations, and rigorous benchmarking. It implements and evaluates prototypes demonstrating security improvement with minimal impact on representative workloads. The results provide promising directions for practical GPU security defences. © 2024 IEEE.

关键词： Program compilers

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：