检索结果-内蒙古大学图书馆

Ph.D. Research in Microelectronics and Electronics (PRIME)

作者： Marco Tambussi Marco Grassi Edoardo Bonizzoni Piero Malcovati Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

This paper reports an architectural comparison between active and passive solutions for audio band Noise-Shaping Successive Approximation Register Analog-to-Digital Converters (NS-SAR ADC). The goal is to illustrate the advantages and drawbacks of these architectures when dealing with Ultra-Low Power (ULP) circuits that demand also the smallest possible area and a good technology scalability, like Audio Activity Detection (AAD) for MEMS microphones chains.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Location-Based Medium Access Control for Next-Generation Industrial IoT Networks

Location-Based Medium Access Control for Next-Generation Ind...

引用

IEEE International Conference on Communications (ICC)

作者： Ahmed Ajeena Jie Gao Majeed M. Hayat Lian Zhao Xuemin Shen Department of Electrical and Computer Engineering Marquette University Milwaukee USA School of Information Technology Carleton University Ottawa Canada Department of Electrical Computer and Biomedical Engineering Toronto Metropolitan University Canada Department of Electrical and Computer Engineering University of Waterloo Waterloo Canada

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

A medium access control (MAC) protocol design is proposed in this paper for next-generation industrial Internet of Things (IIoT) networks. Considering a nonfully connected network with multiple access points (APs), we aim to connect a massive number of IIoT devices densely populating the network and minimize the delay in channel access without packet collisions. To achieve this objective, we propose a device location-based medium access control design, which integrates scheduled access and carrier sensing. In our design, devices are assigned to time slots based on their locations, and the assignments are coordinated among APs to eliminate collisions while maximizing channel utilization. To analyze the performance of the proposed design, we derive the average delay each device experiences with the proposed scheduling scheme and verify our analysis via simulations of an IIoT network with 19 APs and over 17000 devices. The results show the effectiveness of the proposed design in supporting massive connections while at the same time achieving low delay.

关键词： Performance evaluation Analytical models Job shop scheduling Simulation Media Access Control Delays Sensors

来源：评论

学校读者我要写书评

暂无评论

3-D Ultrasound Imaging with Microbeamformer-Based FDMAS: a Preliminary Performance Assessment

3-D Ultrasound Imaging with Microbeamformer-Based FDMAS: a P...

引用

IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Lorenzo Castrignano Giulia Matrone Piero Tortoli Alessandro Ramalli Department of Information Engineering University of Florence Florence Italy Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

High-end 3D systems achieve high-quality imaging by using densely populated 2D array probes. To cope with thousands of elements, the classic delay and sum (DAS) beamforming is split into two stages: (1) inside the probe, the micro-beamformer (µB) partially performs DAS on sub-groups of elements; (2) the system completes the DAS beamforming by properly delaying and summing the µB outputs. Although DAS is implemented on most scanners, there is increasing interest for alternative beamforming methods, such as the filtered delay multiply and sum (FDMAS), which was shown effective in improving the 2D image quality with a moderate complexity increase. Therefore, this work assesses the performance of FDMAS in 3D imaging systems using a µB. A 2.5-MHz cardiac probe, with 48×48 elements and a µB handling sub-groups of M×M elements (M=2, 4, 8), was simulated. FDMAS and DAS were distributed between the µB and the system stages according to three different architectures to reconstruct the corresponding point spread functions (PSFs). These were evaluated in terms of -12dB lateral resolution (RES), side-to-main lobe energy ratio (SMER), and highest secondary-lobe-level (SLL). The results show that, compared to the reference DAS implementation, FDMAS realized at the µB stage improves RES but worsens SMER and SLL. However, when implemented on the system, following a standard DAS µB, FDMAS reduces grating lobe levels, improves RES, and achieves comparable SMER and SLL.

关键词： Image quality Three-dimensional displays Ultrasonic imaging Frequency division multiaccess Array signal processing Imaging Delays Probes Standards Image reconstruction

来源：评论

学校读者我要写书评

暂无评论

Smart Composting Solutions for Organic Waste Management and Soil Enrichment in Agriculture with IoT and Gradient Boosting 4

Smart Composting Solutions for Organic Waste Management and ...

引用

4th International Conference on Sustainable Expert Systems, ICSES 2024

作者： Riazulhameed, Arshadh Ariff Mohamed Abuthahir Ranganathan, Chitra Sabapathy Pandey, Pramod Sakthisaravanan, B. Sasikala, K. Murugan, S. Blackstraw Technologies Pvt Ltd Tamil Nadu Chennai India Mphasis Corporation Tamil Nadu Chennai India Nagpur Campus Maharashtra Pune India Sri Venkateshwara College of Engineering Department of Computer Science and Engineering Karnataka Bengaluru India Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331540364

Modern agricultural operations have significant challenges due to organic waste management since conventional approaches often prove ineffective and unsustainable. To overcome these challenges, this research suggests a new method for smart composting that combines IoT with gradient-boosting algorithms. This system accurately manages and optimizes the composting process by employing Internet of Things (IoT) sensors to monitor important factors, including temperature, moisture, pH, and oxygen content. Real-time data analysis is then performed using Gradient Boosting algorithms. By combining the IoT with gradient boosting may preventatively measures to maximize decomposition and microbial activity, which speeds up the composting process and reduces resource waste. The produced compost has higher nutritional content and more diverse microbes, making it useful as a soil supplement in farming. In addition to improving organic waste management, this novel method helps with soil enrichment and sustainable agriculture, promoting efficiency and resource conservation. Accurate sensor readings, data integration, real-time tracking, and quickly achieving optimal composting conditions are all challenges. © 2024 IEEE.

关键词： Composting efficiency Data-driven optimization Microbial diversity Nutrient cycling Precision agriculture Sensor networks

来源：评论

学校读者我要写书评

暂无评论

Conductivity Profile Reconstruction of Stroke Head Models Based on Divide-and-Conquer Method and the Genetic Algorithm

引用

IEEE Transactions on Magnetics 2024年第3期60卷 1-4页

作者： Choi, Charles T. M. Yu, Chieh-Cheng Lai, Yan-Hung National Yang Ming Chiao Tung University College of Electrical and Computer Engineering Department of Electronics and Electrical Engineering Hsinchu30010 Taiwan Institute of Electrical and Control Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan Institute of Biomedical Engineering College of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan

This article used finite element (FE) analysis to study and analyze the electrical conductivity profile of simulated stroke patients based on a 45 dB signal-to-noise ratio synthesized measurement. Clinical measurement data obtained from stroke patients with electrical impedance tomography (EIT) was reported to be approximately 45 dB SNR. Weighting factors in conjunction with the divide-and-conquer method and adaptive genetic algorithm (AGA) were used. The AGA was applied with the weighting factors to identify the conductivity distribution inside the brain by minimizing the difference between the simulation and synthesized measured voltages under stroke conditions. The result shows that it might be possible to reconstruct an approximate electrical conductivity distribution based on 45 dB SNR simulated measurement of stroke data. © 2023 IEEE.

关键词： Finite element method

来源：评论

学校读者我要写书评

暂无评论

Leveraging Multimodal Ensemble Fusion-Based Deep Learning for COVID-19 on Chest Radiographs

引用

computer Systems Science & engineering 2023年第10期47卷 873-889页

作者： Mohamed Yacin Sikkandar K.Hemalatha M.Subashree S.Srinivasan Seifedine Kadry Jungeun Kim Keejun Han Department of Medical Equipment Technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia Department of Biomedical Engineering Bannari Amman Institute of TechnologySathyamangalam638401India Department of Computer Science and Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Applied Data Science Noroff University CollegeKristiansandNorway Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblosLebanon Department of Software Kongju National UniversityCheonan31080Korea Division of Computer Engineering Hansung UniversitySeoul02876Korea

Recently,COVID-19 has posed a challenging threat to researchers,scientists,healthcare professionals,and administrations over the globe,from its diagnosis to its *** researchers are making persistent efforts to derive probable solutions formanaging the pandemic in their *** of the widespread and effective ways to detect COVID-19 is to utilize radiological images comprising X-rays and computed tomography(CT)*** the same time,the recent advances in machine learning(ML)and deep learning(DL)models show promising results in medical ***,the convolutional neural network(CNN)model can be applied to identifying abnormalities on chest *** the epidemic of COVID-19,much research is led on processing the data compared with DL techniques,particularly *** study develops an improved fruit fly optimization with a deep learning-enabled fusion(IFFO-DLEF)model for COVID-19 detection and *** major intention of the IFFO-DLEF model is to investigate the presence or absence of *** do so,the presented IFFODLEF model applies image pre-processing at the initial *** addition,the ensemble of three DL models such as DenseNet169,EfficientNet,and ResNet50,are used for feature ***,the IFFO algorithm with a multilayer perceptron(MLP)classification model is utilized to identify and classify *** parameter optimization of the MLP approach utilizing the IFFO technique helps in accomplishing enhanced classification *** experimental result analysis of the IFFO-DLEF model carried out on the CXR image database portrayed the better performance of the presented IFFO-DLEF model over recent approaches.

关键词： COVID-19 computer vision deep learning image classification fusion model

来源：评论

学校读者我要写书评

暂无评论

Improving electrically Evoked Compound Action Potential Based on electrical Field Imaging and Electrode Interfaces

Improving Electrically Evoked Compound Action Potential Base...

引用

IEEE Conference on Electromagnetic Field Computation

作者： Charles T.M. Choi Chun Ting Ke Jelani Lawrence Alexander C. C. Wang Department of Electronics and Electrical Engineering College of Electrical & Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Electrical and Control Engineering College of Electrical & Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Institute of Biomedical Engineering College of Electrical & Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Electrical Engineering & Computer Science International Graduate Program College of Electrical & Computer Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan

ISBN: (数字)9798350348958

ISBN: (纸本)9798350348965

The electrically evoked compound action potential (ECAP) has been used in various clinical studies and has become a key physiological signal for cochlear implants (CI). This study used four sensing electrodes to record ECAP signals based on the alternating polarity approach. An electrical field imaging (EFI) result based on the finite element method was used to obtain the interface impedance, then ECAP simulation results were computed and compared with a patient's clinical ECAP measurements. Preliminary modeling results show that the interface impedance obtained by this EFI-based technique can improve the simulation accuracy of the ECAP model. The ECAP modeling result will be compared with clinical ECAP measurements to validate the model in the full paper.

关键词： Electrodes Action potentials Impedance measurement Computational modeling Simulation Imaging Finite element analysis

来源：评论

学校读者我要写书评

暂无评论

A 0.756-ppm/°C Time-Domain-Based Curvature-Compensated Bandgap Reference

A 0.756-ppm/°C Time-Domain-Based Curvature-Compensated Band...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Elisabetta Moisello Edoardo Bonizzoni Piero Malcovati Department of Electrical Computer and Biomedical Engineering University of Pavia Italy

This paper proposes a time-domain-based architecture for implementing a bandgap reference: indeed, the proportional-to-absolute-temperature (PTAT) voltage is provided by subtracting the gate-to-source voltages ( $V_{GS}$ ) generated in two subsequent phases by the same diode-connected NMOS device, operating in subthreshold region and biased at different currents. As the same transistor is employed in both phases for the PTAT voltage generation, mismatch effects are inherently reduced. The proposed bandgap reference combines the PTAT and the complementary-to-absolute-temperature (CTAT) voltages by means of a switched capacitor difference amplifier and, if required, includes a dedicated sampling and filtering circuit. It features 5-bits trimming and implements curvature compensation through the addition of an integrated resistor with appropriate temperature dependence to the CTAT branch. The proposed bandgap reference circuit was designed in a standard 130-nm CMOS process and was extensively simulated in Cadence Virtuoso, achieving a worst-case 0.756-ppm/°C temperature coefficient.

关键词：

来源：评论

学校读者我要写书评

暂无评论

In Silico Demonstrations of the Impact of Wavelength and Skin Tone on Photoacoustic Breast Imaging

In Silico Demonstrations of the Impact of Wavelength and Ski...

引用

2023 IEEE International Ultrasonics Symposium, IUS 2023

作者： Fernandes, Guilherme S. P. Pavan, Theo Z. Bell, Muyinatu A. Lediju University of Sao Paulo Ffclrp Department of Physics Brazil Johns Hopkins University Department of Electrical and Computer Engineering BaltimoreMD United States Johns Hopkins University Department of Biomedical Engineering BaltimoreMD United States Johns Hopkins University Department of Computer Science BaltimoreMD United States

ISBN: (纸本)9798350346459

Breast photoacoustic imaging is an emerging clinical application that requires non-invasive illumination through skin. However, the melanin content of skin can introduce unwanted acoustic clutter, thereby compromising target visibility and overall image quality, which presents a significant challenge when considering the wide range of skin tones that are expected to benefit from access to the technology. To quantify the impact of this challenge, we conducted a series of multidomain photoacoustic simulations using five optical wavelengths, 18 skin constitutive pigmentations, and a previously validated 3D breast model. Three scenarios were considered: (i) the baseline scenario, in which a photoacoustic target was surrounded by breast tissue and covered by a layer of skin;(ii) the baseline scenario with the skin layer removed;and (iii) the baseline scenario with the photoacoustic target removed. Clutter levels ranged -11 dB to 11 dB with the baseline scenario. When skin was removed, this clutter was reduced by up to 39 dB and the associated target contrast improved by up to 39 dB relative to the baseline scenario, confirming skin as the primary source of clutter. When the target was removed, clutter decreased by less than 2.7 dB relative to the baseline scenario, indicating minimal to nonexistent clutter contributions from scattering due to the presence of the photoacoustic target. Future work will investigate novel system designs and protocols for patient-specific photoacoustic imaging system customizations. © 2023 IEEE.

关键词： Photoacoustic effect

来源：评论

学校读者我要写书评

暂无评论

Self-supervised learning via VICReg enables training of EMG pattern recognition using continuous data with unclear labels

引用

computers in Biology and Medicine 2025年 185卷 109479-109479页

作者： Raghu, Shriram Tallam Puranam MacIsaac, Dawn T. Scheme, Erik J. Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering University of New Brunswick FrederictonNBE3B 5A3 Canada

In this study, we investigate the application of self-supervised learning via pre-trained Long Short-Term Memory (LSTM) networks for training surface electromyography pattern recognition models (sEMG-PR) using dynamic data with transitions. While labeling such data poses challenges due to the absence of ground-truth labels during transitions between classes, self-supervised pre-training offers a way to circumvent this issue. We compare the performance of LSTMs trained with either fully-supervised or self-supervised loss to a conventional non-temporal model (LDA) on two data types: segmented ramp data (lacking transition information) and continuous dynamic data inclusive of class transitions. Statistical analysis reveals that the temporal models outperform non-temporal models when trained with continuous dynamic data. Additionally, the proposed VICReg pre-trained temporal model with continuous dynamic data significantly outperformed all other models. Interestingly, when using only ramp data, the LSTM performed worse than the LDA, suggesting potential overfitting due to the absence of sufficient dynamics. This highlights the interplay between data type and model choice. Overall, this work highlights the importance of representative dynamics in training data and the potential for leveraging self-supervised approaches to enhance sEMG-PR models. © 2024 The Authors

关键词： Self-supervised learning

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：