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2023 International Conference on Computer Graphics, Artificial Intelligence, and Data processing, ICCAID 2023

作者： Liu, Wei Mo, Jiaqing Xinjiang Key Laboratory of Signal Detection and Processing School of Computer Science and Technology Xinjiang University Urumqi830017 China

ISBN: (纸本)9781510677685

In the realm of computer-aided diagnosis, image segmentation techniques have garnered significant attention over the years. However, medical image data present distinctive characteristics, such as confidentiality, class imbalance, and challenges in acquiring accurate labels. Of certain rare medical conditions, it is arduous to obtain an adequate number of data samples within a limited scope for training models. Moreover, complex medical conditions may lead to diagnostic omissions concerning the locations of minor lesions. Consequently, our primary objective in this article is to address the challenge of enhancing the segmentation accuracy of lesion locations in complex medical conditions when working with limited data. Additionally, we believe that threshold selection and feature choice are particularly crucial for medical image segmentation tasks. However, existing medical image segmentation methods often prioritizes model complexity while overlooking the impact of threshold variations on segmentation performance. In this paper, we propose a multi-feature fusion network with adaptive threshold prediction and introduce a novel paradigm of semi-supervised pseudo-label generation to facilitate supervised learning. The multi-feature fusion module ensures the comprehensive utilization of dimension-sensitive features, while the adaptive threshold predictor enables the model to generate distinct segmentation thresholds based on varying inputs. We employed publicly available medical image datasets, namely Kvasir-SEG, Rim-one r2, and ISIC 2018, to train and validate our model and approach. In comparison to other supervised and semi-supervised methods, the model and the approach we proposed demonstrate superior segmentation performance. © 2024 SPIE.

关键词： Computer aided diagnosis

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Learning Parallax Attention for Stereo Image Super-Resolution

Learning Parallax Attention for Stereo Image Super-Resolutio...

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IEEE/CVF Conference on Computer Vision and Pattern Recognition

作者： Longguang Wang Yingqian Wang Zhengfa Liang Zaiping Lin Jungang Yang Wei An Yulan Guo College of Electronic Science and Technology National University of Defense Technology National Key Laboratory of Science and Technology on Blind Signal Processing

ISBN: (纸本)9781728132945

Stereo image pairs can be used to improve the performance of super-resolution (SR) since additional information is provided from a second viewpoint. However, it is challenging to incorporate this information for SR since disparities between stereo images vary significantly. In this paper, we propose a parallax-attention stereo super-resolution network (PASSRnet) to integrate the information from a stereo image pair for SR. Specifically, we introduce a parallax-attention mechanism with a global receptive field along the epipolar line to handle different stereo images with large disparity variations. We also propose a new and the largest dataset for stereo image SR (namely, Flickr1024). Extensive experiments demonstrate that the parallax-attention mechanism can capture correspondence between stereo images to improve SR performance with a small computational and memory cost. Comparative results show that our PASSRnet achieves the state-of-the-art performance on the Middle bury, KITTI 2012 and KITTI 2015 datasets.

关键词： stereo imaging SAVANNAH RIVER OPERATIONS OFFICE Strontium images super-resolution Imagery (Psychotherapy) Image parallax information

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Precision Analysis of an Analytical Method in Space Debris Orbit Prediction

Precision Analysis of an Analytical Method in Space Debris O...

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2016 International Conference on Computer Engineering,Information science & Application technology(ICCIA 2016)

作者： Bin Wang Huafeng Peng Kun Li National Key Laboratory of Science and Technology on Blind Signal Processing Southwest Electronics and Telecommunication Technology Research Institute

ISBN: (纸本)9781510830363

Using high precision laser ephemeris as reference, the precision of orbit prediction is analyzed of an analytical model which is formulated by quasi-analytical average method. The result shows that: the orbit prediction accuracy of MEO and LEO satellites is several hundred meters in 1 day and not more than 10 km in 7 days. The position error changes quickly over time. The calculation speed is fast using the analytical model. It can be used for precise orbit determination for a short term about 1 or 2 days. And it also can be used for the general accuracy of the long-term orbit prediction. But if the prediction time is too long, the accuracy will drop sharply.

关键词： Spacecraft Orbit prediction Precision analysis Quasi-analytical average method

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Corrigendum to “Dolphin vocal sound generation via deep WaveGAN” [J. Electron. Sci. Technol. 20 (3) (2022), 100171]

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Journal of Electronic science and technology 2025年第1期23卷

作者： Lue Zhang Hai-Ning Huang Li Yin Bao-Qi Li Di Wu Hao-Ran Liu Xi-Feng Li Yong-Le Xie Institute of Acoustics Chinese Academy of Sciences Beijing 100190 China University of Chinese Academy of Sciences Beijing 100049 China Key Laboratory of Science and Technology on Advanced Underwater Acoustic Signal Processing Chinese Academy of Sciences Beijing 100190 China School of Automation Engineering University of Electronic Science and Technology of China Chengdu 611731 Sichuan China

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Target Spatial-Frequency Scattering Response Sparse Approximation using Multi-static Radar Observations

Target Spatial-Frequency Scattering Response Sparse Approxim...

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2021 CIE International Conference on Radar, Radar 2021

作者： Zhou, Shenghua Cai, Jiewen Huo, Chaoying Ma, Hui Peng, Xiaojun Xidian University National Laboratory of Radar Signal Processing Xi'an710071 China Science and Technology on Electromagnetic Scattering Laboratory Beijing100854 China

ISBN: (纸本)9781665498142

Inverse synthetic aperture radar (ISAR) can form an image of the target with a sequence of wideband coherent observations, but it is generally difficult to generalize ISAR images from other directions. In this paper, with observations of a noncoherent multistatic radar system to the same target, we study how to approximate the target spatial-frequency joint response by the scattering centers target model. We optimize the scattering intensities of the scatterers such that the target response at selected frequency ticks and spatial directions, under sparse constraints to select proper number of scattering centers. Numerical results with a 3D plane model indicates that the target response can be approximated by a few scattering centers in a good accuracy, even for spatial directions in which the target is not probed before. © 2021 IEEE.

关键词： frequency scattering diversity MIMO radar radar cross section radar target 3D imaging scattering centers target model spatial scattering diversity

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Data Association with Passive Angle Measurements 10

Data Association with Passive Angle Measurements

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10th International Conference on Control, Automation and Information sciences, ICCAIS 2021

作者： Wang, Linhai Li, Zhuyu Zhou, Shenghua Zhang, Xinyu Xing, Xiaoyu Gou, Mingjiang Xidian University National Laboratory of Radar Signal Processing Xi'an710071 China Science and Technology on Electromagnetic Scattering Laboratory Beijing100854 China

ISBN: (纸本)9781665440295

Some passive sensors can measure only relative angles of signals and in a distributed sensor network, it is interesting to associate measurements of angles from distributed sensors and then to estimate the positions of signal sources. This paper studies the data association problem and the intersection localization problem for a distributed passive sensor network. Under the assumption that the locations of the sensors are known a priori, different signal directions of distributed passive sensors constitute different lines and those with sufficiently small minimal distances are deemed to be from the same signal sources. Meanwhile, for associated signals, the signal location estimate is the average position of the points over the lines with minimal distances to each other. The impacts of angle estimation accuracy and platform self-localization accuracy are analyzed in numerical results, indicating that this method can achieve a high data association and positioning performance with a low computation cost. © 2021 IEEE.

关键词： Sensor networks

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A Long Synthetic Aperture Passive Localization Method Using Two Planes

A Long Synthetic Aperture Passive Localization Method Using ...

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2021 CIE International Conference on Radar, Radar 2021

作者： Chen, Bowei Wang, Yuqi Sun, Guang-Cai Xing, Mengdao Zhang, Zijing Yang, Xiaoniu Xidian University National Laboratory of Radar Signal Processing Xi'an China Science and Technology on Communication Information Security Control Laboratory Jiaxing China

ISBN: (纸本)9781665498142

A long synthetic aperture passive localization algorithm is proposed in this paper. First of all, the Doppler change rate of signal can be measured by the image contrast and then, grid points are divided within the maximum possible latitude and longitude of the emitter location, the Doppler change rate at each grid point can be calculated by using known position and velocity of the receiver. The grid points at which the calculated Doppler change rate is equal to the value measured by the received signal form an isoline. Two receivers can draw two isolines on the ground and the intersection of the isolines gives estimate of the emitter location. © 2021 IEEE.

关键词： Azimuth focusing Doppler change rate Passive localization Synthetic aperture localization

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A Modified Information Embedding Scheme for the Integrated System of Radar and Communication

A Modified Information Embedding Scheme for the Integrated S...

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2019 IEEE International Conference on signal, Information and Data processing, ICSIDP 2019

作者： Wu, Wenhua Cao, Yunhe Liu, Yutao National Laboratory of Radar Signal Processing Xidian University Xi'an China Science and Technology on Communication Networks Laboratory Shi jia zhuang China

ISBN: (纸本)9781728123455

This paper has proposed a modified information embedding scheme for the integrated system of radar and communication without influence on the mainlobe. Exploiting the waveform diversity of multiple-input multiple-output (MIMO) radar, the beamforming weight vectors are designed for constellation mapping to increase the data rate. Simulation results are presented to demonstrate the theoretical analysis. © 2019 IEEE.

关键词： Beamforming

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Discovering Temporal User Interest on Twitter by Using Semantic Based Dynamic Interest Finding Model(TUT) 2nd

Discovering Temporal User Interest on Twitter by Using Seman...

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2017 IEEE 2nd Information technology, Networking, Electronic and Automation Control Conference (ITNEC 2017)

作者： Rashid Abbasi Gohar Rehman Jia lee Farhad Muhammad Riaz Bin Luo School of Computer Science and Technology Anhui University College of Computer Science Chongqing University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University

ISBN: (纸本)9781509064151;9781509064144

Social media systems are very popular in today's dynamic web. One of the famous social media systems is Twitter, in which peoples used to share their personal ideas about current issues with their friends. This work focuses on the problem of discovering a user's interest over time on twitter. Previous approaches have used to model the user topic of interest on twitter by building the profile of the users, that contain the words which can be used the user in his or her conversions with other users, but on twitter users used the noisy words which does not represent the correct topics or topic related to interest. This model has extended by a novel framework by using twitter user model. This model uses the latent topic variable to indicate the relatedness of the topic with any user. In this work, we propose a Temporal User Topic(TUT) approach which can consider the text of tweet by any user and time of the tweet. The proposed approach is used to discover topically related Users for different time periods. We also show how the interests and relationships of these users are changeovers a time period.

关键词： Topic Model User Interest Twitter Twitter-User Model Social Network Time Topic Modeling

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Improving Speech Perceptual Quality and Intelligibility Through Sub-band Temporal Envelope Characteristics 18th

Improving Speech Perceptual Quality and Intelligibility Thr...

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18th National Conference on Man-Machine Speech Communication, NCMMSC 2023

作者： Wu, Ruilin Huang, Zhihua Song, Jingyi Liang, Xiaoming School of Computer Science and Technology Xinjiang University Urumqi China Key Laboratory of Signal Detection and Processing in Xinjiang Urumqi China

ISBN: (纸本)9789819706006

In the speech enhancement (SE) model, using auxiliary loss based on acoustic parameters can improve enhancement effects. However, currently used acoustic parameters focus on frequency domain information, neglecting the importance of time domain information. This study explores the effects of training the SE model utilizing temporal envelope parameters as auxiliary losses on perceptual quality and intelligibility, primarily focusing on accurately extracting temporal envelope parameters and optimizing losses. Initially, the effectiveness and robustness of the temporal envelope parameters in optimizing the SE model were verified. Subsequently, a temporal envelope loss based on sub-band weighted (ENVLoss) is proposed based on the perceptual characteristics of human hearing. Then, a method for constructing a joint loss function is proposed, integrating temporal and spectral acoustic features to promote the enhancement effect. Experimental results show that temporal envelope characteristics improve both the time domain and the time-frequency domain SE models. Compared to other acoustic parameter losses, the SE model using a sub-band temporal envelope auxiliary loss shows improvement in the PESQ, STOI, and MOS estimation metrics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Speech intelligibility

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