检索结果-内蒙古大学图书馆

6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Yang, Xingxing Feng, Botao Ding, Xiao Sun, Sanshan Gu, Wenzhe Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China School of Computer Science and Engineering Huizhou University Huizhou China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

This paper proposes a microstrip diplexer network that covers the frequency bands of 0.6-0.96 GHz, 1.7-2.7 GHz, 3.3-4 GHz and 4.9-6 GHz. The diplexer is composed of the multiple matching branch and the filtering branch. Its insertion loss at lower- and middle frequencies is less than 1.5 dB, and that at upper frequency is under 2.5 dB. The diplexer achieves broadband and steep-edge filtering performances. Therefore, it can be well applied in 5G indoor distribution systems. © 2023 IEEE.

关键词： Insertion losses

来源：评论

学校读者我要写书评

暂无评论

Self-supervised tomographic image noise suppression via residual image prior network

引用

computers in Biology and Medicine 2024年 179卷 108837-108837页

作者： Pan, Jiayi Chang, Dingyue Wu, Weiwen Chen, Yang Wang, Shaoyu School of Biomedical Engineering Sun Yat-Sen University Guangdong Shenzhen China Institute of Materials China Academy of Engineering Physics Sichuan Mianyang China School of Computer Science and Engineering Southeast University Jiangsu Nanjing China School of Information Engineering Nanchang University Jiangxi Nanchang China

Computed tomography (CT) denoising is a challenging task in medical imaging that has garnered considerable attention. Supervised networks require a lot of noisy-clean image pairs, which are always unavailable in clinical settings. Existing self-supervised algorithms for suppressing noise with paired noisy images have limitations, such as ignoring the residual between similar image pairs during training and insufficiently learning the spectrum information of images. In this study, we propose a Residual Image Prior Network (RIP-Net) to sufficiently model the residual between the paired similar noisy images. Our approach offers new insights into the field by addressing the limitations of existing methods. We first establish a mathematical theorem clarifying the non-equivalence between similar-image-based self-supervised learning and supervised learning. It helps us better understand the strengths and limitations of self-supervised learning. Secondly, we introduce a novel regularization term to model a low-frequency residual image prior. This can improve the accuracy and robustness of our model. Finally, we design a well-structured denoising network capable of exploring spectrum information while simultaneously sensing context messages. The network has dual paths for modeling high and low-frequency compositions in the raw noisy image. Additionally, context perception modules capture local and global interactions to produce high-quality images. The comprehensive experiments on preclinical photon-counting CT, clinical brain CT, and low-dose CT datasets, demonstrate that our RIP-Net is superior to other unsupervised denoising methods. © 2024 Elsevier Ltd

关键词： Medical imaging

来源：评论

学校读者我要写书评

暂无评论

Design of Wideband Transmitarray with 1-Bit Beam-Deflection 6

Design of Wideband Transmitarray with 1-Bit Beam-Deflection

引用

6th IEEE International Conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Rao, Liwei Feng, Botao Ding, Xiao Gu, Wenzhe Sun, Sanshan Zeng, Qingsheng College of Electronics and Information Engineering Shenzhen University Shenzhen518060 China Macau University of Science and Technology Faculty of Humanities and Arts 999078 China School of Computer Science and Engineering Huizhou University Huizhou China College of Physics and Electronic Engineering Sichuan Normal University Sichuan China College of Astronautics Nanjing University of Aeronautics and Astronautics Nanjing210016 China

ISBN: (纸本)9798350399059

This paper introduces a linearly polarized beam-deflection array that operates in the X-band and has a phase resolution of 1 bit. The transmission unit consists of three media layers and three metal layers. Its metal layers include metal strips with specific arrangements are used to twist the polarization of electromagnetic waves by ± 90°, and then the middle metal layer is rotated by 90° to form a phase difference of 0°/180°. A 20× 20 transmission array with beam deflection is designed using this unit. The designed antenna array shows good electrical characteristics including gain of 16 dBi at 11GHz and stable radiation patterns at both H- and V-planes. © 2023 IEEE.

关键词： Strip metal

来源：评论

学校读者我要写书评

暂无评论

Analysis of the load capacity of optically addressed spatial light modulators based on different laser irradiation spot sizes 5

Analysis of the load capacity of optically addressed spatial...

引用

5th International Symposium on High Power Laser science and engineering, HPLSE 2023

作者： Zhilan, Han Wei, Fan He, Cheng Dajie, Huang Lin, Chen School of Electrical Information and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China National Laboratory of High Power Laser and Physics Shanghai Institute of Optics and Fine Mechanics Chinese Academy of Sciences Shanghai201800 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China

ISBN: (纸本)9781510672611

Due to the thermal deposition, the switching ratio of the amplitude OASLM will be reduced, so it is difficult to play a better effect in the high average power laser system. In this paper, through the analysis of laser-induced temperature rise model and liquid crystal layer voltage model and experiments, we show that with the same aperture and same switching ratio, the tolerable optical power density will decrease with the larger irradiation spot area. When the spot diameter decreases from 8 mm to 3 mm without heat dissipation treatment, the temperature of the OASLM emitting surface decreases from 39.6 °C to 33 °C, and the laser tolerated power density improves from 32.8 W/cm2 to 120 W/cm2, but the total tolerated power decreases from 16.5 W to 8.5 W. Therefore, in order to improve the total power tolerance of the optical addressable spatial light modulator, it is still an important technical way to improve the clear aperture of the optical addressable spatial light modulator. © 2023 SPIE.

关键词： Heat transfer

来源：评论

学校读者我要写书评

暂无评论

Robust Image Hashing Based on Histogram Reconstruction 18th

Robust Image Hashing Based on Histogram Reconstruction

引用

18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Jia, Yao Cui, Chen Wang, Zhenbang Tian, Shigang Wang, Shen School of Data Science and Technology Heilongjiang University Heilongjiang Harbin China College of Mathematics Physics and Information Engineering Jiaxing University Zhejiang Jiaxing China State Grid Heilongjiang Power Co. Ltd. Heilongjiang Harbin China School of Computer Science and Technology Harbin Institute of Technology Heilongjiang Harbin China

ISBN: (纸本)9789819906048

In this paper, we propose a perceptual image hashing method based on histogram reconstruction. Our method consists of three steps, pre-processing, histogram reconstruction and hash vector generation based on the reconstructed histogram. In image pre-processing, the color image is converted to a gray one, then the gray image is standardized and the standardized image is processed with a low-pass filter. Then, we reconstruct the histogram of a gray image by using the relationship between the pixels in different groups. Finally, the hash vector is extracted from the reconstructed histogram. As the experimental results show, the proposed image hashing method is robust to most of the content-preserving operations, such as JPEG compression, noise addition and rotation. Moreover, the method proposed can effectively solve the problems in traditional histogram-based methods. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Low pass filters

来源：评论

学校读者我要写书评

暂无评论

A New Proof of the Stronger Second Mean Value Theorem for Integrals

引用

Journal of Mathematical Research with Applications 2021年第3期41卷 265-269页

作者： Peng ZHENG Xiquan SHI School of Mathematics and Computer Science Shaanxi University of Technology Division of Physics Engineering Mathematics and Computer Science Delaware State University

R. Witula et al obtained a stronger version of the second mean value theorem for integral with some restrictions. In this paper, the stronger version theorem is proved without any restriction. The result is first restricted to the Riemann integrable functions and can be easily generalized to Lpintegrable functions by using the well-known result that continuous functions are dense in the Banach space Lp[a, b] for any p ≥ 1.

关键词： second mean value theorem for integrals Riemann integrable Lebesgue integrable

来源：评论

学校读者我要写书评

暂无评论

Adaptive Hammerstein- Wiener Model for Intelligent Networks

Adaptive Hammerstein- Wiener Model for Intelligent Networks

引用

Intelligent Computing and Next Generation Networks（ICNGN), International Conference on

作者： Kouao Laurent Kouadio Pierre Claver Bizimana School of Geosciences and Info-physics Central South University Changsha PR China School of Computer Science and Engineering Central South University Changsha PR China

ISBN: (数字)9798331529222

ISBN: (纸本)9798331529239

The rapid evolution of intelligent computing and next-generation networks necessitates models that accurately capture the intricate dynamics of time-dependent systems. This paper introduces an innovative adaptation of the Hammerstein-Wiener model for supervised learning tasks, specifically clas-sification and regression, within intelligent computing environ-ments. Traditional approaches to dynamic system modeling often struggle to balance linear and nonlinear dependencies, limiting their efficacy in domains demanding both predictive accuracy and adaptability. Our novel Hammerstein- Wiener model addresses this gap by combining nonlinear input transformations, a linear dynamic block to model temporal dependencies, and nonlinear output transformations. This unique configuration enables the model to capture complex, multi-step dependencies crucial for applications in network intrusion detection and other dynamic tasks. Evaluations on the KDD Cup 1999 dataset demonstrate the model's superiority over baseline methods, including Long Short-Term Memory (LSTM), achieving a classification accuracy of 98.97 %. Additionally, our model recorded a Prediction Stability Score (PSS) of 0.1693 and a perfect Time-weighted Accuracy (TWA) of 1.0, highlighting its remarkable temporal stability and computational efficiency. This adaptation of the Hammerstein-Wiener model establishes a robust, interpretable alternative for real-time dynamic systems within intelligent computing, offering a resource-efficient approach suitable for high-throughput applications in telecommunications, finance, and industrial au-tomation.

关键词： Adaptation models Accuracy Computational modeling Predictive models Stability analysis Real-time systems Nonlinear dynamical systems Telecommunications Thermal stability Long short term memory

来源：评论

学校读者我要写书评

暂无评论

MEMS-based twisted bilayer flat optics for multidimensional optical modulation and hyperimaging

MEMS-based twisted bilayer flat optics for multidimensional ...

引用

2024 Frontiers in Optics, FiO 2024

作者： Tang, Haoning Lou, Beicheng Du, Fan Gao, Guangqi Zhang, Mingjie Ni, Xueqi Yacoby, Amir Cao, Yuan Fan, Shanhui Mazur, Eric School of Engineering and Applied Sciences Harvard University CambridgeMA02138 United States Department of Electrical Engineering and Computer Science University of California at Berkeley BerkeleyCA94720 United States National Institute for Materials Science Namiki 1-1 Ibaraki Tsukuba305-0044 Japan Department of Applied Physics Ginzton Laboratory Stanford University StanfordCA94305 United States

Our MEMS-based twistoptics device enables precise control of interlayer gaps and twist angles in photonic crystals, achieving high-accuracy, multidimensional light manipulation with significant potential in reconfigur... 详细信息

关键词： Nanophotonics

来源：评论

学校读者我要写书评

暂无评论

Active twistoptics: on-chip multidimensional dynamic control for data hypercube reconstruction

Active twistoptics: on-chip multidimensional dynamic control...

引用

2024 Conference on Lasers and Electro-Optics, CLEO 2024

Our MEMS-integrated twistoptics device enables precise control of interlayer gaps and twist angles in photonic crystals, achieving high-accuracy, multidimensional light manipulation with significant potential in recon... 详细信息

ISBN: (纸本)9781957171395

关键词： Nanophotonics

来源：评论

学校读者我要写书评

暂无评论

Model Free Deep Deterministic Policy Gradient Controller for Setpoint Tracking of Non-Minimum Phase Systems

Model Free Deep Deterministic Policy Gradient Controller for...

引用

UKACC International Conference on Control (CONTROL)

作者： Fatemeh Tavakkoli Pouria Sarhadi Benoit Clement Wasif Naeem Faculty of Electrical and Computer Engineering Department Babol Noshirvani University of Technology Babol Iran School of Physics Engineering and Computer Science University of Hertfordshire Hertfordshire UK ENSTA Bretagne CROSSING ILR CNRS 2010 and Flinders University Australia School of Electronics Electrical Engineering and Computer Science Queen's University Belfast UK

ISBN: (数字)9798350374261

ISBN: (纸本)9798350374278

Deep Reinforcement Learning (DRL) techniques have received significant attention in control and decision-making algorithms. Most applications involve complex decision-making systems, justified by the algorithms' computational power and cost. While model-based versions are emerging, model-free DRL approaches are intriguing for their independence from models, yet they remain relatively less explored in terms of performance, particularly in applied control. This study conducts a thorough performance analysis comparing the data-driven DRL paradigm with a classical state feedback controller, both designed based on the same cost (reward) function of the linear quadratic regulator (LQR) problem. Twelve additional performance criteria are introduced to assess the controllers' performance, independent of the LQR problem for which they are designed. Two Deep Deterministic Policy Gradient (DDPG)-based controllers are developed, leveraging DDPG's widespread reputation. These controllers are aimed at addressing a challenging setpoint tracking problem in a Non-Minimum Phase (NMP) system. The performance and robustness of the controllers are assessed in the presence of operational challenges, including disturbance, noise, initial conditions, and model uncertainties. The findings suggest that the DDPG controller demonstrates promising behavior under rigorous test conditions. Nevertheless, further improvements are necessary for the DDPG controller to outperform classical methods in all criteria. While DRL algorithms may excel in complex environments owing to the flexibility in the reward function definition, this paper offers practical insights and a comparison framework specifically designed to evaluate these algorithms within the context of control engineering.

关键词： Training State feedback Uncertainty Costs Computational modeling Decision making Noise

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：