检索结果-内蒙古大学图书馆

15th International Conference on Digital image processing, ICDIP 2023

作者： Ding, Hui Chen, Weifeng He, Zhifen Li, Bo Liu, Bin Wang, Kang School of Mathematics and Information Science Key Laboratory of Jiangxi Province for Image Processing and Pattern Recognition Nanchang Hangkong University Nanchang China Jiangxi Science and Technology Infrastructure Center and Jiangxi Computing Center Jiangxi Computing Center Nanchang China

ISBN: (纸本)9798400708237

Single-image super-resolution (SR) tasks have achieved fancy success in recent years by leveraging deep convolution neural network (CNN). Although CNNs obtain powerful representation capabilities of reconstructing a high-resolution (HR) image from its corresponding low-resolution (LR) observation, it is hard to apply these accomplishments to real world for its large number of parameters that bring about huge computing resource cost. To solve this problem, many researchers turn their directions to lightening the network by delicate designs while keeping the performance in the high level. In this paper, we propose a new method to further reduce the parameters by using the new feature extraction paradigm called Mixer which only contains Multi-Layer Perceptron (MLP). Compared to convolutional operations, Mixer operation has the same representation capabilities with fewer parameters. In this paper, three typical lightweight networks, where we replace the convolutional operation with Mixer, are used to show the excellent ability. Our experimental results demonstrate that Mixer can help these lightweight networks further reduce the number of parameters by up to 38% while keep their performance in the same level. © 2023 ACM.

关键词： Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Context-Aware Grammatical Error Correction Model

Context-Aware Grammatical Error Correction Model

引用

Big Data & Artificial Intelligence & Software Engineering (ICBASE), International Conference on

作者： Jianxing Lin Guimin Huang JiaHao Wang School of Computer Science and Information Security Guangxi Key Laboratory of Image and Graphic Intelligent Processing Guilin University of Electronic Technology Guilin China

ISBN: (数字)9798331506612

ISBN: (纸本)9798331506629

The pursuit of accurate and fluent English communication is the cornerstone of global academic exchange and expression. The accuracy of written English is crucial for effective discourse; however, despite advancements in grammatical error correction (GEC) technology, these systems often fall short when analyzing coherent text. This paper delves into the complexities of English writing and the challenges posed by current GEC systems, advocating for a shift toward understanding document-level context in error correction. We propose a dual-encoder architecture within an encoder-decoder model, referred to as the Context-Aware Grammatical Error Correction (CAGEC) model. The CAGEC model employs an innovative dual-encoder structure, combining the encoder of the Transformer model with a Bi-GRU (Bidirectional Gated Recurrent Unit) neural network, and integrates encoding into the decoder through attention and gating mechanisms to achieve a deep understanding of the source sentence and its context.

关键词： Accuracy Neural networks Writing Logic gates Transformers Encoding Error correction Context modeling Synthetic data Software engineering

来源：评论

学校读者我要写书评

暂无评论

Research on a Microwave Filter with Pentagram Grooves 3

Research on a Microwave Filter with Pentagram Grooves

引用

2022 3rd International Conference on Electrical, Electronic Information and communication Engineering, EEICE 2022

作者： Hou, Y.F. Qian, J. School of Electronic and Information Engineering Wuzhou University Guangxi Wuzhou China Guangxi Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Guangxi Wuzhou China

This paper introduces a microwave filter with pentagram grooves, which belongs to an artificial surface plasmon (SSPPs) type microwave bandpass *** filter adopts a two-stage structure. The first section is a slot-line waveguide section, and one side of this section adopts an exponential curve structure to prevent sudden changes in electromagnetic impedance and achieve a good connection with the second *** second segment is the SSPPs segment, which adopts a novel mirror-symmetric pentagram-shaped groove air gap structure. By adjusting the geometric size of the pentagram-shaped groove, the microwave subwavelength confinement effect can be further improved,making the SSPPs filter more excellent in pass-band characteristics and anti-space electromagnetic *** filter can be applied to the civil microwave communication system of L~1/4S band. © Published under licence by IOP Publishing Ltd.

关键词： Microwave filters

来源：评论

学校读者我要写书评

暂无评论

Research on state monitoring of bridge cable based on optical fiber sensing technology

Research on state monitoring of bridge cable based on optica...

引用

International Conference on Optical communications and Networks (ICOCN)

作者： Chunying Xu Xinjie Wu Ruixin Liang Yu Zhou Chengyu Yang Chuliang Wei College of Enineering Shantou Guangdong Province China Guangdong Provincial Key Laboratory of Digital Signal and Image Processing

In this paper, the strain and vibration of the bridge cable and its compensation device were monitored using fiber optic grating (FBG) sensing technology on the Zhoushan-Daishan Bridge in Zhoushan, Zhejiang Province. During the monitoring period, the bridge experienced two typhoon events. The strain and vibration signals were analyzed. The results showed that the typhoon 'Muifa' had a greater impact on the Zhoushan-Daishan Bridge than typhoon 'Hinnamnor'. And there was no movement of the expansion compensation device during the monitoring period.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Self-supervised nonlocal spectral similarity-induced material decomposition network for dual-energy CT 7

Self-supervised nonlocal spectral similarity-induced materia...

引用

7th International Conference on image Formation in X-Ray Computed Tomography

作者： Wang, Lei Wang, Yongbo Bian, Zhaoying Zeng, Dong Ma, Jianhua Department of Biomedical Engineering Southern Medical University Guangzhou510515 China Guangdong Provincial Key Laboratory of Medical Image Processing Southern Medical University Guangzhou510515 China

ISBN: (纸本)9781510656697

Dual-energy computed tomography (DECT) imaging plays an important role in clinical diagnosis applications due to its material decomposition capability. However, in the cases of low-dose DECT imaging and ill-conditioned issue, the direct decomposed material images from DECT images would suffer from severe noise-induced artifacts, leading to low quality and accuracy. In this paper, we propose a self-supervised Nonlocal Spectral Similarity-induced Decomposition Network (NSSD-Net) to produce decomposed material images with high quality and accuracy in the low-dose DECT imaging. Specifically, we first build the model-driven iterative decomposition model and optimize the objective function by the iterative shrinkage-thresholding algorithm (ISTA) with the convolutional neural network. Considering the intrinsic characteristics information (i.e., structural similarity and spectral correlation) underlying DECT images, which can be used as the prior information to improve the accuracy of the decomposed material images, we construct the nonlocal spectral similarity-based cost function by using the prior information and incorporating it into the iterative decomposition network to guarantee stability. The proposed NSSD-Net method was validated and evaluated with real clinical data. Experimental results showed that the presented NSSD-Net method outperforms the other competing methods in terms of noise-induced artifacts reduction and decomposition accuracy. © 2022 SPIE.

关键词： Cost functions

来源：评论

学校读者我要写书评

暂无评论

Research on a rectangular microwave filter with rectangular groove

Research on a rectangular microwave filter with rectangular ...

引用

2022 International Symposium on Sensor Technology and Control, ISSTC 2022

作者： Qian, Jun Hou, Yifeng School of Electronic and Information Engineering Wuzhou University Wuzhou Guangxi China Guangxi Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Wuzhou Guangxi China

In this paper, a rectangular microwave filter with rectangular groove is designed. The filter adopts symmetrical three-stage structure. The first section is the slot line waveguide section to realize the input / output of microwave signal, the second section is the transition section, which adopts the impedance gradient structure, and the third section is the sspps section composed of periodic symmetrical rectangular groove and 90 degree bending structure. By adjusting the geometric size of the rectangular groove and its air gap, the passband width and stopband characteristics of the filter can be adjusted, and its microwave sub wavelength binding effect can be further improved, making the anti space electromagnetic interference ability of sspps filter more excellent. The filter can be applied to L ?s Band civil microwave communication system. © Published under licence by IOP Publishing Ltd.

关键词： Electromagnetic pulse

来源：评论

学校读者我要写书评

暂无评论

A flexible organohydrogel-based humidity sensor for noncontact artificial sensation

引用

Science China(Technological Sciences) 2022年第1期65卷 191-200页

作者： ZHANG Yu LI Chen YANG Han ZHAO Rui CHEN XinJian NIE BaoQing HU Liang Medical Image Processing Analysis and Visualization(MIPAV)School of Electronic and Information EngineeringSoochow UniversitySuzhou 215000China State Key Laboratory of Radiation Medicine and Protection School for Radiological and Interdisciplinary Sciences(RAD-X)and Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education InstitutionsSoochow UniversitySuzhou 215000China

In this paper,we propose a simple organohydrogel based capacitive humidity sensor for noncontact artificial sensation *** sensor is simple in design and consists of a transparent polyacrylamide organohydrogel thin film attached on a flexible inter-digit electrode *** process of water absorption and desorption is reversible,thus the dielectric of the organohydrogel film as well as the overall capacitance is dependent on environmental *** water absorption capacity and structural reliability of the device have been largely improved by adding glycerol in the organohydrogel *** optimizing both the glycerol concentration and organohydrogel film thickness,the sensor can respond to cyclic humidity changes in a period of 300 *** addition,this sensor achieves a high relative capacitance increase(by 20 folds)in a wide relative humidity range(12%-95%).The sensor also exhibits high stability under different bending curvatures(up to 6.81 mm),wide temperature changes(20℃-40℃)and external pressures(0-8 N).To demonstrate the applications in wearable electronics,we found that the sensor was successful in detecting respiration intensity and rate as well as the difference in moisture content in various objects,i.e.,human skin and leaf *** sensor is highly sensitive and can be useful in the detection of the widerange of humidity changes.

关键词： humidity sensor organohydrogel wearable electronics

来源：评论

学校读者我要写书评

暂无评论

Research on a Microwave Band-pass Filter 2

Research on a Microwave Band-pass Filter

引用

2nd International Conference on Electronic Materials and Information Engineering, EMIE 2022

作者： Qian, Jun Hou, Yifeng School of Electronic and Information Engineering Wuzhou University Guangxi Wuzhou China Guangxi Key Laboratory of Image Processing and Intelligent Information System Wuzhou University Guangxi Wuzhou China

ISBN: (纸本)9781713865629

This paper introduces a broadband microwave bandpass filter. The structure of the filter is a filter cavity formed by two balanced dielectric sheets. On the two dielectric sheets, the relative face of the microwave input end and the microwave output end is symmetrically provided with a guided wave surface, the middle face is symmetrically provided with a filter groove surface for filtering, and the surface of an exponential curve structure is arranged along the microwave transmission direction, A plurality of arc-shaped filter grooves are arranged on the opposite surface of the dielectric sheet perpendicular to the microwave transmission direction. This special structure is analyzed and calculated by the finite difference time domain method. The results show that the filter can fully improve the subwavelength binding effect in microwave band and make the anti electromagnetic interference ability of the filter better. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Finite difference time domain method

来源：评论

学校读者我要写书评

暂无评论

Intelligent Test Paper Generation Algorithm Integrating Normal Distribution and Parallel Genetic Algorithm

Intelligent Test Paper Generation Algorithm Integrating Norm...

引用

Intelligent Computing and Human-Computer Interaction (ICHCI), International Conference on

作者： Chuangye Liu Guimin Huang Guangxi Key Laboratory of Image and Graphic Intelligent Processing School of Computer Science and Information Security Guilin University of Electronic Technology Guilin China

ISBN: (数字)9798350368284

ISBN: (纸本)9798350368291

Genetic algorithms have been widely used in intelligent test paper generation systems. However, traditional genetic algorithms cannot ensure that the difficulty of test questions is normally distributed, and are prone to falling into local optimal solutions. To address the above problems, we proposed an intelligent test paper generation algorithm that combines normal distribution and parallel genetic algorithms. In the population initialization stage, we use the cumulative distribution function (CDF) of the normal distribution to initialize the population. In the subsequent genetic operations, we designed a directed mutation mechanism and added KL divergence as a penalty number in the design of the fitness function to ensure that the difficulty of the test questions is normally distributed. At the same time, in order to speed up the efficiency of the algorithm and escape from the local optimal solution, an adaptive migration strategy was introduced. Experimental results show that the difficulty of the test questions generated by this algorithm is normally distributed, and the algorithm performance is better than other algorithms.

关键词： Human computer interaction Heuristic algorithms Gaussian distribution Genetics Genetic algorithms Distribution functions Convergence

来源：评论

学校读者我要写书评

暂无评论

TMMM: Transformer in Multimodal Sentiment Analysis under Missing Modalities

TMMM: Transformer in Multimodal Sentiment Analysis under Mis...

引用

International Joint Conference on Neural Networks (IJCNN)

作者： Huanyu Wu Siyang Li Dongrui Wu Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan China

ISBN: (数字)9798350359312

ISBN: (纸本)9798350359329

The cross-task gap presents a significant challenge for multimodal models because of the differences in input-output workflows. For instance, multimodal pre-trained transformers may encounter uni-modal data during testing. To mitigate the gap, this paper introduces a Transformer in Multimodal Sentiment Analysis under Missing Modalities (TMMM) aims to perform well using missing-modal data during testing. TMMM uses a missing multimodal training approach to prevent accuracy degradation in testing. At the same time, a new network architecture allows the model to reconstruct missing modalities during testing. Classification token fusion and Mixture-of-Experts structures further enhance the model’s performance. A pre-training method utilizing contrastive learning, which can construct negative samples with positive samples, is proposed to overcome insufficient labeled data. Our experiments demonstrated the effectiveness of TMMM on two datasets with no modalities missing, i.e., it consistently achieved the highest classification accuracy and Macro-F1, which outperformed the best state-of-the-art baseline on each dataset by about 2% and 2.5%. Additionally, TMMM usually performs better than other baselines on datasets with missing modalities during testing.

关键词： Training Sentiment analysis Accuracy Contrastive learning Network architecture Transformers Brain modeling

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：