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2022 International Conference on Signal Processing and communication technology, SPCT 2022

作者： Lei, Gao Yonggang, Zhang Xiukui, Li Dalian University of Technology School of Information and Communication Engineering Dalian China

ISBN: (纸本)9781510664333

Mesoscale ocean front is a special category of oceanographic phenomena, and has complex effects on the propagation of underwater sound, and meanwhile the complex topographic variations of the seafloor also have an impact on the underwater sound propagation characteristics. In this paper, we simulate the communication located at between the distant and the near, and use the Bellhop numerical model of hydro acoustics to calculate the transmission loss and analyze the effects of mesoscale ocean fronts and topography on deep-sea sound. The result shows that when the sound crosses the ocean front, the deflection of the sound line causes the spatial distribution of the sound field to vary;when the sound travels from offshore to the distance, the constraint on the topography makes the reflected sound waves of the seafloor into the surface water, which will limit the energy loss;when the sound travels from the distance to offshore, the topography makes the energy in the deep-sea duct leak, which compensates the transmission loss caused by the ocean front. The combined effects of topography and hydrographic environment make the acoustic duct exhibit complex change characteristics. Topographic condition plays a dominant role in the sound field pattern, and the non-uniform hydrographic environment caused by the ocean front is the key factor that causes abnormal changes in the spatial distribution of acoustic energy. © 2023 SPIE.

关键词： Acoustic fields

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Improved UNet for Semi-Supervised Multi-Scale CMRI Right Ventricular Segmentation Method 9

Improved UNet for Semi-Supervised Multi-Scale CMRI Right Ven...

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9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Cui, Hongzhen Wang, Shichao Zhu, Xiaoyue Peng, Yunfeng School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China School of Electronics and Information Engineering Liaoning University of Technology Liaoning China

ISBN: (纸本)9798350376548

Segmentation of the right ventricle (RV) holds significant clinical implications for the assessment of cardiac function in conditions such as pulmonary hypertension. Precise delineation of the right ventricle from cardiac magnetic resonance images (CMRI) is crucial in the diagnosis of various cardiac conditions. It provides clinicians with essential information for patient evaluation, treatment planning, and subsequent rehabilitation strategies. Currently, the development of fully automated segmentation models for the right ventricle heavily relies on deep learning techniques, necessitating meticulous manual annotation of CMRI data to achieve optimal segmentation results. However, the labor-intensive nature of labeling CMRI data requires significant medical expertise and consumes considerable time and resources. In response to these challenges, this study proposes a semi-supervised multi-scale segmentation approach for the right ventricle in CMRI. The method leverages unlabeled data to enhance segmentation accuracy while minimizing the reliance on annotated data. Experimental findings demonstrate the effectiveness of the proposed method in accurately delineating the right ventricle from CMRI datasets. © 2024 IEEE.

关键词： Magnetic resonance imaging

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Development of a Performance Evaluation Model for Tennis Players Using Event-based Scoring and Non-linear Regression with Differential Evolution Algorithm

Development of a Performance Evaluation Model for Tennis Pla...

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2024 International Conference on Power, Electrical engineering, Electronics and control, PEEEC 2024

作者： Sun, Junjie Chu, Zhenxiao Li, Jiaqi Nanjing Institute of Technology School of Information and Communication Engineering Nanjing China Wuhan University of Technology School of Science Wuhan China China Agricultural University School of Information and Electrical Engineering Beijing China

ISBN: (纸本)9798350378917

This paper introduces the development of a model aimed at capturing the progression of scoring events in single or multiple tennis matches. The model serves the purpose of evaluating player performance within specific time intervals and determining their progress. To achieve this, we have created an evaluation model with relevant features and considered the use of data dimensionality reduction techniques to consolidate or enhance these features. Utilizing these problem-specific features, we can calculate performance scores for each player at different time points in every match. Subsequently, a non-linear regression model is established, using event time points as independent variables and performance scores as dependent variables. The parameters of this model are then determined using the differential evolution algorithm. © 2024 IEEE.

关键词： Multiple linear regression

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Dynamic Spectrum Allocation with Service Priority in C+L-Band Elastic Optical Networks 4

Dynamic Spectrum Allocation with Service Priority in C+L-Ban...

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4th International Computational Imaging Conference, CITA 2024

作者： Yang, Huijie Zheng, Nianying Dang, Jian Wang, Xiaoling Chen, Hong Chen, Bowen School of Electronic and Information Engineering Soochow University Suzhou China School of Information and Communication Guilin University of Electronic Technology Guangxi Guilin541004 China

ISBN: (纸本)9781510688834

With the rapid development of cloud computing, video, smart home, and Internet of things (IoT), the bandwidth requirements of communication networks are also greatly increasing. This paper investigates dynamic spectrum allocation for both immediate and advance reservations in C+L-band elastic optical networks. We propose a dynamic spectrum allocation approach with service priority (DSA-SP) by considering the tolerable delay time. We consider the service importance when allocating the spectrum resources in C+L-band elastic optical networks. We discuss two types of the connection requests that include both immediate reservation and advance reservation based on the maximum tolerable delay time. The simulation results demonstrate that the proposed dynamic spectrum allocation approach achieves the low blocking probability, the high spectrum efficiency, and high average optical signal-to-noise ratio (SNR). © 2025 SPIE.

关键词： Signal to noise ratio

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An adaptive multitasking optimization algorithm based on population distribution

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Mathematical Biosciences and engineering 2024年第2期21卷 2432-2457页

作者： Li, Xiaoyu Wang, Lei Jiang, Qiaoyong Xu, Qingzheng School of Computer Science and Engineering Xi'an University of Technology Xi'an710048 China School of Electronic and Information Engineering Ankang University Ankang725000 China The Key Laboratory of Industrial Automation of Shaanxi Province Shaanxi University of Technology Hanzhong723001 China College of Information and Communication National University of Defense Technology Wuhan430019 China

Evolutionary multitasking optimization (EMTO) handles multiple tasks simultaneously by transferring and sharing valuable knowledge from other relevant tasks. How to effectively identify transferred knowledge and reduce negative knowledge transfer are two key issues in EMTO. Many existing EMTO algorithms treat the elite solutions in tasks as transferred knowledge between tasks. However, these algorithms may not be effective enough when the global optimums of the tasks are far apart. In this paper, we study an adaptive evolutionary multitasking optimization algorithm based on population distribution information to find valuable transferred knowledge and weaken the negative transfer between tasks. In this paper, we first divide each task population into K sub-populations based on the fitness values of the individuals, and then the maximum mean discrepancy (MMD) is utilized to calculate the distribution difference between each sub-population in the source task and the subpopulation where the best solution of the target task is located. Among the sub-populations of the source task, the sub-population with the smallest MMD value is selected, and the individuals in it are used as transferred individuals. In this way, the solution chosen for the transfer may be an elite solution or some other solution. In addition, an improved randomized interaction probability is also included in the proposed algorithm to adjust the intensity of inter-task interactions. The experimental results on two multitasking test suites demonstrate that the proposed algorithm achieves high solution accuracy and fast convergence for most problems, especially for problems with low relevance. © 2024 the Author(s).

关键词： Optimization

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Rolling bearing fault diagnostics based on improved data augmentation and ConvNet

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Journal of Systems engineering and Electronics 2023年第4期34卷 1074-1084页

作者： KULEVOME Delanyo Kwame Bensah WANG Hong WANG Xuegang School of Information and Communication Engineering University of Electronic Science and Technology of ChinaChengdu 611731China Yangtze Delta Region Institute(Huzhou) University of Electronic Science and Technology of ChinaHuzhou 313001China

Convolutional neural networks(CNNs)are well suited to bearing fault classification due to their ability to learn discriminative spectro-temporal ***,gathering sufficient cases of faulty conditions in real-world engineering scenarios to train an intelligent diagnosis system is *** paper proposes a fault diagnosis method combining several augmentation schemes to alleviate the problem of limited fault *** begin by identifying relevant parameters that influence the construction of a *** leverage the uncertainty principle in processing time-frequency domain signals,making it impossible to simultaneously achieve good time and frequency resolutions.A key determinant of this phenomenon is the window function's choice and length used in implementing the shorttime Fourier *** Gaussian,Kaiser,and rectangular windows are selected in the experimentation due to their diverse *** overlap parameter's size also influences the outcome and resolution of the spectrogram.A 50%overlap is used in the original data transformation,and±25%is used in implementing an effective augmentation policy to which two-stage regular CNN can be applied to achieve improved *** best model reaches an accuracy of 99.98%and a cross-domain accuracy of 92.54%.When combined with data augmentation,the proposed model yields cutting-edge results.

关键词： bearing failure short-time Fourier transform prognostics and health management data augmentation fault diagnosis

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Generic and flexible self-correction method for nonlinearity-induced phase error in three-dimensional imaging

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Chinese Optics Letters 2024年第6期22卷 129-135页

作者： Jianhua Wang Peng Xu Yanxi Yang School of Information and Control Engineering Qingdao University of TechnologyQingdao 266520China School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048China

In three-dimensional imaging employing phase-shifting profilometry(PSP), the nonlinear response of projector and camera makes the fringe gray distribution non-sinusoidal, which further leads to phase error. Although the double 3-step phaseshifting method is simple and effective, it needs to add an additional set of fringe sequences, which reduces the measurement efficiency. To this end, this paper introduces a generic and flexible self-correction method for nonlinearity-induced phase ***, according to the nonlinearity-induced phase error model, we introduce an additional wrapped phase with a phase difference of π/3. The error waveform of the two wrapped phases is opposite but not coincident. Then, we introduce an estimation algorithm for the additional wrapped phase offset. Finally, we fuse the two wrapped phases to correct the phase error. Experiments confirm that the root mean squared error of the proposed method is 64.1% lower than that of the traditional method and 13.3% lower than that of the Hilbert transform method. The proposed method does not require any additional fringes or hardware assistance and can be easily extended to 4-step or 5-step PSP.

关键词： three-dimensional imaging phase-shifting profilometry nonlinear response self-correction Hilbert transform

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Target Localization Based on Multi-site Sparse Arrays: A Coupled Canonical Polyadic Decomposition Approach 23

Target Localization Based on Multi-site Sparse Arrays: A Cou...

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7th International Conference on Digital Signal Processing, ICDSP 2023

作者： Liu, Haoyu Gong, Xiaofeng Lin, Qiuhua School of Information and Communication Engineering Dalian University of Technology Dalian China

ISBN: (纸本)9781450398626

Sparse arrays have attracted increased attention in the past decades, due to its improved performance over regular arrays in terms of accuracy and identifiability. On the other hand, multi-site arrays have been considered in target localization applications, such as multistatic MIMO radars. In this paper, by combining the above two concepts, we consider the problem of target localization via multi-site sparse arrays and propose a coupled tensor based framework for the solution of this problem. More precisely, a coupled canonical polyadic decomposition (C-CPD) model is established to formulate the array signal and a joint eigenvalue decomposition (J-EVD) based algorithm is developed to compute the C-CPD. Then, a polynomial rooting based technique is used to find the DOA estimates of each target observed by different sites, the fusion of which finally yields the localization of the targets. We discuss the uniqueness conditions and provide numerical experiments to illustrate the improved performance of the proposed approach. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： MIMO radar

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Mainlobe DRFM Jamming Suppression via Blind Source Separation Using Tensor Decomposition 8

Mainlobe DRFM Jamming Suppression via Blind Source Separatio...

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8th International Conference on Signal and Image Processing, ICSIP 2023

作者： Dong, Luxin Wang, Bing Pan, Bunian Kong, Yukai Yu, Xianxiang Cui, Guolong University of Electronic Science and Technology of China School of Information and Communication Engineering Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Chengdu610036 China

ISBN: (纸本)9798350397932

This paper deals with the suppression problem of mainlobe digital radio frequency memory (DRFM) jamming especially for intra-pulse slice forwarding jamming for phased array radar. A novel mainlobe DRFM jamming suppression method resorting to blind source separation based on tensor decomposition (TD-BSS) is proposed to separate the target echo signal and jamming signal. Specifically, the received signals are reconstructed into higher-order tensor form. Further, the separating matrix optimization problem relying on tensor Canonical Polyadic (CP) decomposition principle is formulated and then solved by an enhanced line search alternating least square (ELS-ALS) algorithm. Finally, the performance of the proposed method is demonstrated through numerical simulations, showing its superior to suppress mainlobe DRFM jamming over the exiting method in terms of interrupted sampling and cyclic repeater jamming (ISCRJ) and chopping and interval (C&I) jamming. © 2023 IEEE.

关键词： Blind source separation

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Pattern-Reconfigurable Smartwatch Antenna for GPS Applications

Pattern-Reconfigurable Smartwatch Antenna for GPS Applicatio...

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2023 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2023

作者： Zheng, Wenrui Kong, Yonghua Nan, Yang Li, Hui Dalian University of Technology School of Information and Communication Engineering Dalian China

ISBN: (纸本)9798350336740

In this work, a pattern-reconfigurable GPS antenna is proposed for smartwatches with metallic frames. Patterns towards opposite directivity are easily switched using two PIN diodes. Different radiating states are contributed by a fixed slot and the loop currents distributed on different longer edges. With different patterns, the communication links in both the left-hand and the right-hand worn scenarios are enhanced. © 2023 IEEE.

关键词： Directional patterns (antenna)

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