检索结果-内蒙古大学图书馆

Convenient noncooperative speckle-correlation imaging method

Chinese Optics Letters 2023年第3期21卷 41-46页

作者：朱书阅衣文军付美城祁俊力朱梦均陈欣张洪玉杜俊逸王平刘菊李修建 College of Science National University of Defense TechnologyChangsha 410073China Xi'an Satellite Control Center Xi'an 71043China Tiansun Laboratory Changsha 410073China School of Computer Science and Technology Xidian UniversityXi'an 7100China College of Electronic Science National University of Defense TechnologyChangsha 410073China Hunan Institute of Traffic Engineering Hengyang 421099China

For speckle-correlation-based scattering imaging,an iris is generally used next to the diffuser to magnify the speckle size and enhance the speckle contrast,which limits the light flux and makes the setup ***,we experimentally demonstrate a non-iris speckle-correlation imaging method associated with an image resizing *** experimental results demonstrate that,by estimating an appropriate resizing factor,our method can achieve high-fidelity noncooperative speckle-correlation imaging by digital resizing of the raw captions or on-chip pixel binning without *** method opens a new door for noncooperative high-frame-rate speckle-correlation imaging and benefits scattering imaging for dynamic objects hidden behind opaque barriers.

关键词： speckle correlation image resizing pixel binning

来源：评论

学校读者我要写书评

暂无评论

Multi-Attention Gate Based U-net For Retinal Vessel Segmentation

Multi-Attention Gate Based U-net For Retinal Vessel Segmenta...

引用

IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Yu Zhu Rui Li Shenghua Teng Xinrong Cao College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou China

Retinal blood vessel segmentation images can be used to detect and evaluate various cardiovascular and ophthalmic diseases. However, due to the intricate vessel structures and blurred boundaries of vessels, it is a huge challenge to efficiently and accurately segment blood vessels. To deal with the above problems, this paper improves on the U-net by firstly using multi-scale feature convolution with kernels of varying size for feature extraction. Second, a non-local attention mechanism is applied to obtain richer global semantic information. Then multi-attention gate is used in the skip connection part by inputting feature maps of various scales and dimensions and selectively learning the interrelated regions, which improves the segmentation ability of the network model for the tiny structure of blood vessels. Quantitative and qualitative experimental results on two public datasets, DRIVE and CHASE_DB1, demonstrate the effectiveness of the proposed method.

关键词： Image segmentation Semantics Logic gates Blood vessels Network architecture Feature extraction Retinal vessels

来源：评论

学校读者我要写书评

暂无评论

A Network Combining CNN and Transformer for Blind Image Super-Resolution

A Network Combining CNN and Transformer for Blind Image Supe...

引用

IEEE International Symposium on Information (IT) in Medicine and Education, ITME

作者： Shuhao Zhang Zuoyong Li Shenghua Teng Kun Zeng College of Electronic and Information Engineering Shandong University of Science and Technology Qingdao China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control College of Computer and Control Engineering Minjiang University Fuzhou China

Blind super-resolution (SR) requires not only estimating blur kernel, but also super-resolving low-resolution image based on estimated blur kernel. Most blind SR methods use convolutional neural networks (CNNs) for kernel estimation, which cannot exploit long-range dependency within image domain, thus failing to predict blur kernel accurately. To address this issue, we propose a network combining CNN and transformer named NCCT for kernel estimation. By modeling local and non-local image priors simultaneously, NCCT outperforms other blind SR methods in terms of kernel estimation accuracy. Moreover, we design a network module named RRFDB for constructing lightweight blind SR network, which runs faster and achieves comparative SR performance with fewer parameters compared with other state-of-the-art blind SR methods.

关键词： Superresolution Education Estimation Transformers Feature extraction Convolutional neural networks Kernel

来源：评论

学校读者我要写书评

暂无评论

A Distributed Learning Algorithm for RBF Neural Networks 6

A Distributed Learning Algorithm for RBF Neural Networks

引用

6th International Conference on Computational Intelligence and Applications, ICCIA 2021

作者： Dong, Jing Yang, Liu Luo, Xiaoqing Nanjing Tech University College of Electrical Engineering and Control Science Nanjing China Jiangnan University School of Artificial Intelligence and Computer Science Wuxi China

ISBN: (纸本)9781665439336

Training a radial basis function (RBF) neural network on a single processor is usually challenging due to the limited computation and storage sources, especially for data with large and multi-dimensional features. In addition, in real applications, large-scale data may be collected in a distributed manner, which also makes it difficult to handle the data only with a single processor. To address these issues, we propose a distributed learning algorithm for RBF neural networks. In this algorithm, RBF neural networks can be trained in parallel using multiple processors. Specifically, the large-scale training data is divided into groups and each processor is associated with only one group. By introducing a shared output weight vector, training can be carried out simultaneously on different processors. The formulated optimization problem is addressed with alternating direction method of multipliers (ADMM) framework. Simulation results demonstrate the effectiveness of the proposed algorithm. © 2021 IEEE.

关键词： Digital storage

来源：评论

学校读者我要写书评

暂无评论

Network Management devices in an SDN environment

Network Management devices in an SDN environment

引用

International Conference on control Systems and computer Science (CSCS)

作者： Diyar Jamal Hamad Khirota Gorgees Yalda Nicolae Tapus Ibrahim Taner Okumus Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania Soran Technical college Erbil Polytechnic University Iraq Erbil Computer Engineering Kahramanmaras Sutcu Imam University Kahramanmaras Turkey

Network optimization and continued availability depend on a number of capabilities that are part of network management. The Maintenance, operating and also offering a safeguarded interaction network is very complicated. It calls for the network operators to grapple with low-level vendor particular arrangements to execute the high degree network policies which are complicated. A method for monitoring networks with OpenFlow controller is presented in this paper in two separate functions for the same networks. Bandwidth utilization, Meter values, charts and statistics are provided by the method to extend controller monitoring capabilities. The method architecture and implementation will be introduced in order to present the feature set. Additionally, softswitches are used as a switch and Mininet to evaluate a virtualized network. This analysis shows whether Meters or ports value is better for network management.

关键词：

来源：评论

学校读者我要写书评

暂无评论

A Material Identification Approach Based on Wi-Fi Signal

引用

computers, Materials & Continua 2021年第12期69卷 3383-3397页

作者： Chao Li Fan Li Wei Du Lihua Yin Bin Wang Chonghua Wang Tianjie Luo Cyberspace Institute of Advanced Technology Guangzhou UniversityGuangzhou510700China PCL Research Center of Cyberspace Security Peng Cheng LaboratoryShenzhen518052China Department of Computer Science and Computer Engineering University of ArkansasFayetteville72701USA College of Electrical Engineering Zhejiang UniversityHangzhou310058China China Industrial Control Systems Cyber Emergency Response Team Beijing100040China

Material identification is a technology that can help to identify the type of target *** approaches depend on expensive instruments,complicated pre-treatments and professional *** is difficult to find a substantial yet effective material identification method to meet the daily use *** this paper,we introduce a Wi-Fi-signal based material identification approach by measuring the amplitude ratio and phase difference as the key features in the material classifier,which can significantly reduce the cost and guarantee a high level *** practical measurement of WiFi based material identification,these two features are commonly interrupted by the software/hardware noise of the channel state information(CSI).To eliminate the inherent noise of CSI,we design a denoising method based on the antenna array of the commercial off-the-shelf(COTS)Wi-Fi *** that,the amplitude ratios and phase differences can be more stably utilized to classify the *** implement our system and evaluate its ability to identify materials in indoor *** result shows that our system can identify 10 commonly seen liquids with an average accuracy of 98.8%.It can also identify similar liquids with an overall accuracy higher than 95%,such as various concentrations of salt water.

关键词： Internet of Things Wi-Fi signal channel state information material identification noise elimination

来源：评论

学校读者我要写书评

暂无评论

Fusion of Time and Frequency Domain Attributes for the Automated Recognition of Emotion using EEG Recordings 21

Fusion of Time and Frequency Domain Attributes for the Autom...

引用

21st OITS International Conference on Information Technology, OCIT 2023

作者： Maithri, M. Raghavendra, U. Gudigar, Anjan Sambrama Praharaj, Samir Kumar Manipal Institute of Technology Manipal Academy of Higher Education Department of Mechatronics Manipal576104 India Manipal Institute of Technology Manipal Academy of Higher Education Department of Instrumentation and Control Engineering Manipal576104 India North Carolina State University Department of Electrical and Computer Engineering United States Manipal Academy of Higher Education Kasturba Medical College Manipal Department of Psychiatry Manipal India

ISBN: (纸本)9798350358230

Emotions have a significant impact on a person's behavior. Expression reflects how people perceive events, interactions, and judgment. It is possible to identify emotions and categorize them using several techniques, including electroencephalography (EEG) signals, gestures, facial expressions, speech patterns, etc. However, emotion recognition using physiological signals has gained popularity owing to its authenticity. In this study, 54 attributes were extracted from each EEG channel to gather emotional information. These attributes were then fed to multiple classifiers and the results were compared. The study attained a maximum accuracy of 89.52% for channel T7 - 24 using ensemble bagged tree classifiers. © 2023 IEEE.

关键词： Emotion Recognition

来源：评论

学校读者我要写书评

暂无评论

WiWm-EP: Wi-Fi CSI-based Wheat Moisture Detection Using Equivalent Permittivity

WiWm-EP: Wi-Fi CSI-based Wheat Moisture Detection Using Equi...

引用

2023 IEEE INFOCOM Conference on computer Communications Workshops, INFOCOM WKSHPS 2023

作者： Hu, Pengming Yang, Weidong Wang, Xuyu Mao, Shiwen Shen, Erbo Henan University of Technology Henan Key Laboratory of Grain Photoelectric Detection and Control Zhengzhou450001 China College of Information Science and Engineering Henan University of Technology Zhengzhou450001 China Knight Foundation School of Computing and Information Sciences Florida International University FL33199 United States Auburn University Department of Electrical and Computer Engineering AuburnAL36849-5201 United States

ISBN: (纸本)9781665494274

Moisture content is one of the important indexes of food storage security. The existing detection methods are time-consuming and high cost such that it is difficult to realize online moisture detection. In this paper, according to the dielectric properties of wheat, we propose a wheat moisture content detection system with commercial Wi-Fi devices, termed WiWm-EP. First, we introduce the relationship between the moisture content of wheat and its dielectric constant. Then, we establish an equivalent permittivity (EP) model to characterize wheat moisture content, where the EP can be calculated from channel state information (CSI) of the dual antenna model. Besides, we build the fitting function between the EP and the moisture content as the wheat moisture detection model. Finally, we evaluate the performance of the system through different experiments. The average relative error of the detection results of five wheat samples with different moisture contents is less than 3%. © 2023 IEEE.

关键词： Permittivity

来源：评论

学校读者我要写书评

暂无评论

A Surrogate-Assisted Evolutionary Algorithm Based on K-Means Clustering and Lévy Flight

A Surrogate-Assisted Evolutionary Algorithm Based on K-Means...

引用

Chinese Automation Congress (CAC)

作者： Yaxin Kang Haibo Yu Li Kang Gangzhu Qiao Dongpeng Guo Jianchao Zeng College of Electrical and Control Engineering North University of China Taiyuan China College of Computer Science and Technology North University of China Taiyuan China College of Environment and Safety Engineering North University of China Taiyuan China College of Environment and Resources Taiyuan University of Science and Technology Taiyuan China

Expensive optimization problem refers to a category of problems for which numerical simulations or physical experiments are expensive and intractable. Evolutionary algorithm (EA) cannot be directly applied to such problems due to the large number of fitness evaluations consumed to determine the global best solution. Hence, this paper proposes a surrogate-assisted evolutionary algorithm based on k-means clustering and Lévy flight (SAEA-KL), where the Radial Basis Function network (RBFN) is selected as a promising surrogate for saving the number of expensive evaluations, and the dual-start Lévy flight and k-means clustering method are deployed to initialize the population of the competitive swarm optimizer in consideration of both optimal and fitness landscape information. Experimental results on common benchmark problems indicate that the proposed method is competitive with seven state-of-the-art algorithms under a limited computational budget.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Synthesis of Variable Gain Robust State Observer for a Class of Uncertain Nonlinear Systems

Synthesis of Variable Gain Robust State Observer for a Class...

引用

International Conference on Electrical, control and Instrumentation engineering (ICECIE)

作者： Kazuhiro Hirasawa Daiki Asada Shunya Nagai Hidetoshi Oya Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Department of Electronics and Control Engineering National Institute of Technology (KOSEN) Niihama College Ehime Japan The Department of Computer Science Tokyo City University Tokyo Japan

ISBN: (数字)9798350380040

ISBN: (纸本)9798350380057

This paper proposes a new variable gain robust state observer for a class of uncertain nonlinear systems. The variable gain robust state observer proposed in this paper consists of fixed observer gain matrices and nonlinear modification functions which are determined by appropriate updating rules. It is shown that sufficient conditions for the existence of the proposed variable gain robust state observer can be reduced to solvability of Linear Matrix Inequalities (LMIs). Finally, we give a simple numerical example.

关键词： Linear systems Sufficient conditions Instruments Delay effects Riccati equations Interconnected systems Observers Linear matrix inequalities Nonlinear systems Gain

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：