检索结果-内蒙古大学图书馆

ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus

引用

Computers in Biology and Medicine 2025年 186卷 109708-109708页

作者： Ejiyi, Chukwuebuka Joseph Qin, Zhen Agbesi, Victor K. Ejiyi, Makuachukwu Bennedith Chikwendu, Ijeoma A. Bamisile, Oluwatoyosi F. Onyekwere, Favour Ezinne Bamisile, Olusola O. College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan 610059 China Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of China Sichuan Chengdu China School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu China Pharmacy Department University of Nigeria Nsukka Enugu State Nsukka Nigeria School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

In image segmentation for medical image analysis, effective upsampling is crucial for recovering spatial information lost during downsampling. This challenge becomes more pronounced when dealing with diverse medical image modalities, which can significantly impact model performance. Plain and standard skip connections, widely used in most models, often fall short of maintaining high segmentation accuracy across different modalities, because essential spatial information transferred from the encoder to the decoder is lost. Inspired by these limitations, the Attention-Embedded Deep UNet (ATEDU-Net) is presented here, an innovative framework designed and tested on diverse medical image modalities, including X-ray, breast ultrasound, and retinal fundus images. ATEDU-Net features a unique architecture that combines progressive context refinement modules (PCRM) and global context modules (GCM) within a U-shaped network structure with Convgroup blocks which facilitate the integration of convolutional operations. This allows ATEDU-Net to autonomously capture rich spatial details and crucial contextual information from input images. The GCM captures essential contextual information for informed decision-making, while the PCRM enhances feature attention, resulting in precise and robust segmentation. The experimentation and analysis demonstrate that ATEDU-Net promises to be a powerful tool for medical professionals, aiding in the early detection of chest-related diseases, accurate localization of breast tumors, and early identification of eye diseases. This, in turn, contributes significantly to the formulation of optimal therapeutic strategies, enhancing patient care and outcomes. The versatility of ATEDU-Net is further highlighted by its ability to analyze medical images across various modalities, making it well-suited for the complex task of medical image analysis in diverse clinical scenarios. © 2025 Elsevier Ltd

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

The Impact of Neutron Energy on Laser Simulation technology in Transient Synergistic Damage

The Impact of Neutron Energy on Laser Simulation Technology ...

引用

Semiconductor and Electronic technology (ISSET), International Symposium on

作者： Fuwang Zhang Ge Tang Siji Zhu Jingrui Liu Wenjiao Zhao Zhenkang Zhang Mo Li College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan People's Republic of China School of Electronic Science and Engineering University of Electronic Science and Technology of China Pidu Chengdu Sichuan People's Republic of China

ISBN: (数字)9798350390285

ISBN: (纸本)9798350390292

The study explores the impact of neutrons with different energies on laser simulation of silicon bipolar junction transistors (Si BJTs) under transient synergistic damage. By simulating the energy deposition distribution and transient current response of low-energy and high-energy photons at different neutron energies (ranging from 1 e V to 2 MeV), the following results are revealed: For high-energy neutron surroundings (energy > 100 keV), low-energy photons can effectively simulate high-energy photons to cause transient synergistic damage effects with neutrons. In contrast, for low-energy neutron surroundings (energy < 100 keV), the energy deposition distributions of low-energy and high-energy photons interacting with neutrons differ significantly. In other words, laser simulation techniques are suitable for studying transient synergistic damage of Si BJTs in high-energy neutron surroundings but have limitations in low-energy neutron surroundings. Therefore, the influence of neutron energy should be considered when applying laser simulation techniques to study transient synergistic damage.

关键词： Semiconductor lasers Ionization Neutrons Silicon Software Transistors Transient analysis Radiation protection Laser applications Photonics

来源：评论

学校读者我要写书评

暂无评论

Numerical Investigation on Transient Bounce Arc and Anode Surface Temperature

Numerical Investigation on Transient Bounce Arc and Anode Su...

引用

International Conference on Electric Power Equipment - Switching technology (ICEPE-ST)

作者： Shuang Chen Ze Yang Zongqian Shi Lijun Wang Jiajia Sun School of Electronic Information and Electrical Engineering Chengdu University Chengdu China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China State Key Laboratory of Electrical Insulation and Power Equipment Xi'an Jiaotong University Xi'an China

ISBN: (数字)9798350388947

ISBN: (纸本)9798350388954

In this research, the closing arc and the bouncing arc are studied with transient MHD model. A transient self-consistent model is established using the dynamic meshing technology. The simulation results show that the ion density decreases significantly with the expansion of the arc column. As a result, the energy flux from the arc to the anode center decreases gradually as a power function. Since the energy flux is very high at the arc ignition, the anode temperature increases significantly at first. Then the maximum anode temperature begins to fall due to the decrease of the maximum energy flux.

关键词： Magnetohydrodynamics Simulation Ignition Switches Ions Power systems Anodes Transient analysis

来源：评论

学校读者我要写书评

暂无评论

Simulation research on the fluorescence excitation and acquisition of SWNT strain sensor based on the principle of photoluminescence 4

Simulation research on the fluorescence excitation and acqui...

引用

4th International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2023

作者： Zhang, Jie Zheng, Fuzhong Li, Zhonghao Lu, Yuting Wang, Shan Cao, Qiang Intelligent Manufacturing and Automobile School Chongqing College of Electronic Engineering Chongqing China School of Automation Chengdu University of Information Technology Chengdu China College of Mechanical Engineering Sichuan University of Science and Engineering Chengdu China PetroChina Changqing Oilfield Company NO.7 Oil Production Plant Qingyang China

ISBN: (纸本)9798350314526

The non-contact strain sensor based on the single-walled carbon nanotube (SWCNT) photoluminescence effect has a great potential that attracted extensive research from both domestic and international scholars. In order to research the non-contact strain sensor, the current paper proposed a fluorescence excitation and acquisition system platform for SWCNT strain sensors, and designed the structures of its optical components. The design, installation, and debugging of this system are conducted. Results show that the fluorescence excitation and acquisition system established in this paper is a suitable platform for SWCNT optical full field strain measurement. Based on this system, the fluorescence excitation and acquisition of the SWCNT film are simulated and analyzed by using OpticStudio software. Simulation results show that the fluorescence intensity is in partial positively correlated with the excitation light intensity, and the light spot diameter could be controlled within 0.1mm. The light spot scanning resolution of the SWNT film achieved the expected effect. © 2023 IEEE.

关键词： Photoluminescence

来源：评论

学校读者我要写书评

暂无评论

DPAL-BERT:A Faster and Lighter Question Answering Model

引用

Computer Modeling in engineering & Sciences 2024年第10期141卷 771-786页

作者： Lirong Yin Lei Wang Zhuohang Cai Siyu Lu Ruiyang Wang Ahmed AlSanad Salman A.AlQahtani Xiaobing Chen Zhengtong Yin Xiaolu Li Wenfeng Zheng Department of Geography and Anthropology Louisiana State UniversityBaton RougeLA 70803USA School of Automation University of Electronic Science and Technology of ChinaChengdu610054China College of Computer and Information Sciences King Saud UniversityRiyadh11574Saudi Arabia School of Electrical and Computer Engineering Louisiana State UniversityBaton RougeLA 70803USA College of Resources and Environmental Engineering Guizhou UniversityGuiyang550025China School of Geographical Sciences Southwest UniversityChongqing400715China

Recent advancements in natural language processing have given rise to numerous pre-training language models in question-answering ***,with the constant evolution of algorithms,data,and computing power,the increasing size and complexity of these models have led to increased training costs and reduced *** study aims to minimize the inference time of such models while maintaining computational *** also proposes a novel Distillation model for PAL-BERT(DPAL-BERT),specifically,employs knowledge distillation,using the PAL-BERT model as the teacher model to train two student models:DPAL-BERT-Bi and *** research enhances the dataset through techniques such as masking,replacement,and n-gram sampling to optimize knowledge *** experimental results showed that the distilled models greatly outperform models trained from *** addition,although the distilled models exhibit a slight decrease in performance compared to PAL-BERT,they significantly reduce inference time to just 0.25%of the *** demonstrates the effectiveness of the proposed approach in balancing model performance and efficiency.

关键词： DPAL-BERT question answering systems knowledge distillation model compression BERT Bi-directional long short-term memory(BiLSTM) knowledge information transfer PAL-BERT training efficiency natural language processing

来源：评论

学校读者我要写书评

暂无评论

Research on Generation Mechanism and Variation Characteristics of Single-phase Ground Overvoltage in Medium Voltage Transmission Line

Research on Generation Mechanism and Variation Characteristi...

引用

International Conference on High Voltage engineering and Application, ICHVE

作者： Shenyuan Zhao Tianxiang Chen Xinyue Ren Huikai Xu Bowen Yang College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu Sichuan China

ISBN: (数字)9781665407502

ISBN: (纸本)9781665407519

In the experimental research on the impact of 10-35kV wildfire and tree line faults on transmission lines, it was found that are grounding overvoltage were generated. This paper studies and analyzes the mechanism of overvoltage generation. The research analyzes the three-phase voltage and zero sequence voltage caused by overvoltage. Variation characteristics, when resonance occurs, the random voltage of one phase is less than the voltage of the other two phases, and the magnitude of this voltage is determined by the neutral point displacement voltage; the moment of arc overvoltage will cause the amplitude of the zero sequence voltage and the non-fault phase voltage to be rapid within 0.6ms, the fault phase voltage is lower than the rated voltage, and presents a power frequency cycle change trend. Modeling and simulation were carried out by PSCAD/EMPTC simulation software, and the variation characteristics of arc overvoltage between metal and high resistance grounding were verified.

关键词： Resistance Power transmission lines Grounding Voltage transformers Metals Resonant frequency Voltage

来源：评论

学校读者我要写书评

暂无评论

Observer-Based Model-Free Adaptive Predictive Control for Discrete-Time Nonlinear System

Observer-Based Model-Free Adaptive Predictive Control for Di...

引用

2023 China automation Congress, CAC 2023

作者： Ren, Bing Bao, Guangqing Li, Mingxin College of Electrical and Information Engineering Lanzhou University of Technology Lanzhou China School of Electronics and Information Engineering Southwest Petroleum University Chengdu China School of Automation & Electrical Engineering Lanzhou Jiaotong University Lanzhou China

ISBN: (纸本)9798350303759

In the setting of discrete-time nonlinear systems, a data-modeling-based control technique that combines observer and predictive control is presented in this study, where a mix of model predictive control (MPC) and dynamic linearization approaches is used to construct a data-driven strategy focused on output optimization. First, the equivalent conversion from nonlinear to linear systems is realized by compact format dynamic linearization(CFDL) method, and a pseudo-partial derivative (PPD) method of estimation with only data information is created using an adaptive observer. Second, a predictive control function containing the observer output, control input and observation error is defined and combined with continuous optimization of actions to generate the optimal control action. The convergence performance of the parameters arising from the application of the suggested method to a nonlinear system, such as PPD estimate error, observer error, and systematic error, is obtained mathematically. Ultimately, numerical simulation studies were carried out to verify the suggested algorithm's value in raising control precision. © 2023 IEEE.

关键词： Model predictive control

来源：评论

学校读者我要写书评

暂无评论

Experimental Research about Corrosion Effect on Boiling Heat Transfer Performance of Plate-type Samples with Micro-structures 20

Experimental Research about Corrosion Effect on Boiling Heat...

引用

20th International Topical Meeting on nuclear Reactor Thermal Hydraulics, NURETH 2023

作者： Xu, Wei Liu, Xiaojing Ouyang, Kun He, Xiaoqiang College of Smart Engineering Shanghai Jiao Tong University Shanghai200240 China School of Nuclear Science and Engineering Shanghai Jiao Tong University Shanghai200240 China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China

ISBN: (纸本)9780894487934

Enormous studies have demonstrated that suitable modification methods, such as micro-structures machining, are adopted to enhance boiling heat transfer performance, especially critical heat flux (CHF) value. This significant improvement can lead to broader application prospect of micro-structured surface in the nuclear power plant scenario. However, little attention has been paid to research the durability of micro-structured surface, and whether strengthening effect can be maintained after a long time of harsh corrosive environment within reactor. In this paper, experimental studies are conducted to research the corrosion effect on boiling heat transfer capability of heating plates with micro-structures. To be specific, microgrooves, pores and columns are machined on metal plate-type samples by laser processing. These samples are placed in autoclave of high temperature and high pressure to simulate the actual conditions, with the corrosion span up to 300 days. After then, saturated pool boiling tests are carried out and high-speed camera is also utilized to quantitatively illustrate the boiling heat transfer characteristics. The experimental results show that the CHF values of different micro-structured samples increase initially and then decreases with increasing corrosion time. In addition, the samples with micro-pores have the largest bubble departure frequency at the beginning of nucleate boiling and those with micro-grooves have the highest CHF value instead. © 2023 Proceedings of the 20th International Topical Meeting on nuclear Reactor Thermal Hydraulics, NURETH 2023. All rights reserved.

关键词： High speed cameras

来源：评论

学校读者我要写书评

暂无评论

DEEP LEARNING BASED KEY PARAMETERS PREDICTION IN nuclear POWER PLANTS 14

DEEP LEARNING BASED KEY PARAMETERS PREDICTION IN NUCLEAR POW...

引用

14th International Conference on Quality, Reliability, Risk, Maintenance, and Safety engineering, QR2MSE 2024

作者： Cui, Jing Song, Lei Ma, Zhanguo Yuan, Huayu Wang, Wenlin Jia, Wenhao Tian, Long School of Automation Harbin University of Science and Technology Harbin China CNNC China Nuclear Power Engineering Co. Ltd Beijing China Xichang Satellite Launch Center Xichang China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China

ISBN: (纸本)9781837242672

Accurately obtaining key parameters under accident conditions in nuclear power plants (NPPs) is essential for safety analysis and is critically important for operational decision making. To enable rapid and precise forecasting of parameter trends in NPPs, we introduce an enhanced Non-stationary Transformer (NS Transformer) model. This model enhances the attention mechanism by incorporating a sparse attention mechanism. The sparse attention mechanism, which selectively focuses on key locations in the sequence, thereby significantly reducing computational complexity and memory use. In this paper, we detail the model structure and validate its effectiveness through experiments predicting key parameters in nuclear power plants. The results demonstrate that the improved prediction model can accurately forecast long-term parameter trends. This study enhances the accuracy of critical parameter predictions in NPPs during failure conditions, thereby improving the emergency response capabilities of NPPs in the event of failures and accidents © The Institution of engineering & technology 2024.

关键词： Prediction models

来源：评论

学校读者我要写书评

暂无评论

Cogging Torque Reduction in A Transverse-flux Flux-reversal Permanent Magnet Motor 5

Cogging Torque Reduction in A Transverse-flux Flux-reversal ...

引用

5th IEEE International Electrical and Energy Conference, CIEEC 2022

作者： Yang, Xiaobao Luo, Bo Zhou, Yu Miao, Hong Kou, Baoquan Sichuan University College of Electrical Engineering Chengdu China Harbin Institute of Technology School of Electrical Engineering and Automation Harbin China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

The transverse-flux flux-reversal PM motor (TF-FRM), which combines the technologies of transverse-flux motor and flux-reversal motor, has been proposed in forgoing work to improve the torque generation capability of motor. However, one issue of TF-FRM is the high cogging torque during rotation, especially, when the motor is designed as an external rotor structure with a large gap diameter. This paper aimed to propose an improved configuration based on structural parameter optimization for cogging torque reduction in TF-FRM. Firstly, the mathematical expression of cogging toque in TF-FRM is derived analytically. Then, the preliminary optimization of basic dimension is done by finite element method to reduce the cogging torque. At last, the performance comparison is done between original configuration and improved one. The result indicates that the proposed topology can effectively reduce cogging torque and torque ripple, meanwhile, slightly increase the electromagnetic torque. © 2022 IEEE.

关键词： Torque

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：