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Research on Denoising of Cryo-em Images Based on Deep Learning

Journal of Information Hiding and Privacy Protection 2020年第1期2卷 1-9页

作者： Jianquan Ouyang Yi He Huanrong Tang Zhousong Fu Key Laboratory of Intelligent Computing&Information Processing Ministry of EducationXiangtan UniversityXiangtan411105China

Cryo-em(Cryogenic electron microscopy)is a technology this can build bio-macromolecule of three-dimensional *** the condition of now,the projection image of the biological macromolecule which is collected by the Cryo-em technology that the contrast is low,the signal to noise is low,image blurring,and not easy to distinguish single particle from background,the corresponding processing technology is lagging ***,make Cryo-em image denoising useful,and maintaining bio-macromolecule of contour or signal of function-construct improve Cryo-em image quality or resolution of Cryo-em three-dimensional structure have important *** paper researched a denoising function base on GANs(generative adversarial networks),purpose an improved discriminant model base on Wasserstein distance and an improved image denoising model by add gray *** model turn discriminant model’s training process from binary classification’s training process into regression task training process,it make GANs in training process more stable,more reasonable parameter ***,we also propose an improved generative model by add gray *** experimental results show that our model can increase the peak signal-to-noise ratio of the Cryo-em simulation image by 10.3 dB and improve SSIM(Structural Similarity Index)of the denoised image results by *** with traditional image denoising algorithms such as BM3D(Block Matching 3D),our model can better save the model structure and the vein signal in the original image and the operation speed is faster.

关键词： Deep learning Cryo-em GAN image denosing

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An enumeration of 1-perfect ternary codes

arXiv

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arXiv 2021年

作者： Shi, Minjia Krotov, Denis S. Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Mathematical Sciences Anhui University Anhui Hefei China State Key Laboratory of Integrated Service Networks Xidian University Xi’an710071 China Sobolev Institute of Mathematics Novosibirsk630090 Russia

MSC Codes 94B25We study codes with parameters of the ternary Hamming (n=(3m−1)/2, 3n−m, 3) code, i.e., ternary 1-perfect codes. The rank of the code is defined to be the dimension of its affine span. We characterize ternary 1-perfect codes of rank n − m + 1, count their number, and prove that all such codes can be obtained from each other by a sequence of two-coordinate switchings. We enumerate ternary 1-perfect codes of length 13 obtained by concatenation from codes of lengths 9 and 4;we find that there are 93241327 equivalence classes of such codes. Copyright © 2021, The Authors. All rights reserved.

关键词： Equivalence classes

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BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neural Network for the Segmentation of Breast Ultrasound Images

BGRA-Net: Boundary-Guided and Region-Aware Convolutional Neu...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Xiang Zhang Xuanya Li Kai Hu Xieping Gao Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan China Baidu Inc. Beijing China Key Laboratory of Medical Imaging and Artifical Intelligence of Hunan Province Xiangnan University Chenzhou China Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing Hunan Normal University Changsha China

ISBN: (纸本)9781665429825

In this paper, we propose a novel convolutional neural network based on boundary-guided and region-aware (BGRA-Net) for breast tumor segmentation in ultrasound images. In particular, in the encoding stage, we propose a boundary-guided module (BGM) to guide the learning of boundary features in the decoding stage by explicitly strengthening the extracted boundary information. Meanwhile, in the decoding stage, we propose a region-aware module (RAM) to integrate different levels of detailed and semantic features to improve the comprehensive representation of tumor regional features. Besides, a scale-adaptive module (SAM) is further proposed to capture the characteristics of tumors with different sizes between the encoding and decoding stages. To evaluate the effectiveness of our BGRA-Net, we conduct extensive experiments on the UDIAT dataset and compare it with eight state-of-the-art methods. The experimental results show that our BGRA-Net outperforms the state-of-the-art methods and can achieve accurate segmentation of breast tumors with ambiguous boundaries.

关键词： Deep learning Image segmentation Breast tumors Ultrasonic imaging Semantics Feature extraction Visual effects

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A High Isolation UWB MIMO Antenna based on Angle Diversity

A High Isolation UWB MIMO Antenna based on Angle Diversity

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IEEE International Wireless Symposium (IWS)

作者： Qin Li Yufa Sun Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728167039

ISBN: (纸本)9781728167046

A UWB MIMO antenna based on angle diversity technology is proposed in this paper. This antenna integrates Vivaldi antenna and UWB slot antenna with a compact size of 26×26mm 2 , the difference of radiation pattern can realize lower coupling between different antenna units. Less than -19 dB isolation between different ports can be obtained through the whole UWB band (3.1-10.6GHz). In addition, the combination of one C-Shaped structure and two L-Shaped structures (CLL) avoids the interference of WLAN (5.125-5.825GHz) band. The proposed antenna has good performance, which is suitable for UWB communication system.

关键词： Wireless LAN Slot antennas Vivaldi antennas Interference Ultra wideband antennas MIMO communication Antenna radiation patterns

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A Biased Random key Heuristic Genetic Approach for the Payload Packing Design of A Satellite Module

A Biased Random Key Heuristic Genetic Approach for the Paylo...

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International Conference on Computer Supported Cooperative Work in Design

作者： Ziqiang Li Wenqian Ruan Yu Kang School of Computer Science Xiangtan University Xiangtan Hunan China Ministry Education Key Laboratory of Intelligent Computing & Information Processing Xiangtan University Xiangtan Hunan China

ISBN: (纸本)9781728165981

Existing heuristic evolutionary approaches are effective to solve the multi-module satellite packing problem. But for them, payload allocation and packing optimization are achieved in two different stages. And for their heuristics there are faults of weaker generality and less candidate location. So, a biased random key heuristic genetic approach is proposed for the collaborative payload allocation and packing for multi-module satellite (MSRKHGA). The firstly, by coding and decoding the random key individual and using GA operator, the organic combination of the payload allocation and packing optimization is achieved. Secondly, by region-positioning it can avoid the time-consuming overlapping calculation between individuals and dynamically generate more candidate regions for payloads to be packed. Numerical experiments show that all index of the proposed MSRKHGA approach are superior obviously to those of existing approaches.

关键词： Satellites Heuristic algorithms Genetics Encoding Decoding Resource management Optimization

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Critical Node Detection for Sequential Attacks in Complex Networks via Multi-objective Optimization

Critical Node Detection for Sequential Attacks in Complex Ne...

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International Conference on Industrial Artificial Intelligence (IAI)

作者： Lei Zhang Qing Liu Jiajun Xia Haipeng Yang Xingyi Zhang Key Laboratory of Intelligent Computing and Signal Processing of Ministry of Education School of Computer Science and Technology Anhui University China

The following topics are dealt with: learning (artificial intelligence); adaptive control; optimisation; control system synthesis; nonlinear control systems; neural nets; probability; pattern classification; feature e... 详细信息

ISBN: (数字)9781728182162

ISBN: (纸本)9781728182179

关键词： Statistics Sociology Complex networks Search problems Power system protection Power system faults Optimization

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A Novel EBG Power Plane Structure for Ultrawideband Suppression of SSN in High Speed Circuits

A Novel EBG Power Plane Structure for Ultrawideband Suppress...

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

作者： Yali Zhao Haoran Zhu Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728181813

ISBN: (纸本)9781728181820

A novel structure based on the coplanar electromagnetic band-gap (EBG) power plane is proposed to realize the ultrawideband suppression of simultaneous switching noise (SSN). The proposed EBG structure is realized with a combination of L-shaped Bridge and slit EBG structure which is inserted by a complementary split ring resonator (CSRR). From the simulated results of the proposed EBG structure, a wideband suppression of SSN ranges from 340 MHz to 20 GHz is achieved with a high mitigation level of -40 dB. Compared with the earlier published structures, the suppression effect is greatly improved.

关键词： Wireless communication Split ring resonators Switches Metamaterials Wideband Periodic structures Ultra wideband technology

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Ultra-Wideband MIMO Antenna with Double Notched Band

Ultra-Wideband MIMO Antenna with Double Notched Band

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Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC)

作者： Xuefeng Wang Yufa Sun Key Lab of Intelligent Computing & Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728181813

ISBN: (纸本)9781728181820

This paper presents an ultra-wideband (UWB) multiple-input multiple-output (MIMO) antenna with a small size of 41×41×1.6mm 3 . Double notched bands are obtained by introducing C-shaped slot and L-shaped slot. The proposed antenna exhibits good UWB performance, it achieves impedance bandwidth from 3.1GHz to 10.8GHz, and better than -15dB of isolation over the entire operating band, with adaptable double band rejection to avoid interference caused by two narrow frequency bands WLAN (5.15-5.85 GHz) and X-band satellite communication systems (7.25-7.75 GHz).

关键词：

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A Broadband Ka-band Antenna with Asymmetric CPW Structure for package integration

A Broadband Ka-band Antenna with Asymmetric CPW Structure fo...

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International Conference on Microwave and Millimeter Wave Technology Proceedings

作者： Kun Li Hao-Ran Zhu Zhi-Xiang Huang Xian-Liang Wu Key Lab of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (数字)9781728157337

ISBN: (纸本)9781728157344

In this paper, a novel broadband Coplanar Waveguide(CPW)-fed slot antenna working at Ka-band is presented. A wideband performance is realized by slot coupling between the rectangular stub and the surrounding ground plane for millimeter wave applications. Meanwhile, an asymmetric CPW structure is introduced to improve the antenna bandwidth, by adjusting the width of the rectangular stub, two different resonance frequencies of the narrow slots around the stub are generated close to the center frequency to achieve a wider band-width. The designed CPW slot antenna exhibits a wide impedance bandwidth over 42.4% and an average gain of 3 dBi.

关键词： Microwave antennas Slot antennas Resonant frequency Broadband communication Coplanar waveguides Broadband antennas Antenna radiation patterns

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A Flexible Two-Stage Constrained Multi-Objective Evolutionary Algorithm Based on Autonomic Regulation

SSRN

引用

SSRN 2022年

作者： Zou, Juan Luo, Jian Liu, Yuan Yang, Shengxiang Zheng, Jinhua Key Laboratory of Intelligent Computing and Information Processing Ministry of Education Computer science College of Xiangtan University Hunan Province Xiangtan China Faculty of Informational Engineering University of Xiangtan Xiangtan411105 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Application Hengyang421002 China School of Computer Science and Informatics De Montfort University LeicesterLE1 9BH United Kingdom

The core element in solving constrained multi-objective problems (CMOPs) with evolutionary algorithms is simultaneously balancing objective optimization and constraint satisfaction. The di ffi culty of maintaining this balance increases significantly for existing algorithms when dealing with complex CMOPs because various complex feasible regions often make CMOPs with very di ff erent characteristics. To address this issue, we propose a more flexible two-stage evolutionary algorithm based on autonomic regulation (ARCMO), which can e ff ectively control evolutionary trends to adapt to complex CMOPs. Specifically, the first stage performs a fast global search and passes the population information to the second stage. The second stage consists of two dynamically complementary sub-processes: named exploration subprocess and convergence subprocess. The ratio of these two sub-processes is dynamically adjusted according to the information from the first stage to adapt to CMOPs with di ff erent complexities. Experiments on several recently proposed benchmark suites and real-world application problems show that ARCMO is more adaptable than the contender algorithms when solving di ff erent complex CMOPs. © 2022, The Authors. All rights reserved.

关键词： Evolutionary algorithms

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