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Anomalous Sound Detection Using Time-Frequency Feature and Mixbatch

Journal of Shanghai Jiaotong University (science) 2025年 1-8页

作者： Huang, Shun Zhang, Yunxiang Fang, Zhihua Tang, Minrui Xu, Ruifeng He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China

The sound emitted by machines under abnormal working conditions exhibits various frequency patterns. Currently, the most advanced anomalous sound detection (ASD) approach is to apply a multi-head self-attention mechanism to the Log-Mel spectrogram for automatic frequency pattern analysis. However, the Log-Mel spectrogram may filter out high-frequency components of abnormal sounds;thus the use of self-attention mechanisms on Log-Mel spectrogram seems to have certain limitations. In this paper, we construct a simple convolutional neural network to extract comprehensive frequency features from raw audio to complement spectral-temporal information fusion. The parameters of this neural network are continuously updated during the training process to extract better frequency features for downstream classification neural networks in ASD. Additionally, a method for data augmentation in the batch dimension was developed to help the classification model learn both types of comprehensive features simultaneously. The proposed method achieved an AUC of 94.13% and a pAUC of 89.09% on the DCASE 2020 Challenge Task 2 dataset. Even when using only the features proposed in this paper, an AUC of 84.62% was achieved. (Figure presented.). © Shanghai Jiao Tong University 2025.

关键词： Spectrographs

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Modal-Dispersion Statistics in Multiple-Mode Fibers from Weak to Strong Coupling Regimes

Modal-Dispersion Statistics in Multiple-Mode Fibers from Wea...

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2024 Asia Communications and Photonics Conference, ACP 2024 and International Conference on information Photonics and Optical Communications, IPOC 2024

作者： Sun, Fengtao Zhu, Xinran Liu, Xiaoxiao Yang, Zhenshan Zhang, Xia Shandong Provincial Key Laboratory of Optical Communications Science and Technology School of Physics Science and Information Engineering Liaocheng University Liaocheng Shandong252000 China

We numerically simulate the joint probability distributions of the modal dispersion in a 6-mode fiber and show that the modal-dispersion statistics has qualitatively distinct features in the weak and strong mode-coupl... 详细信息

ISBN: (纸本)9798350379266

关键词： Modal analysis

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Spin angular momentum engineering within highly localized focal fields: from simple orientation to complex topologies

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Photonics Research 2025年第4期13卷 995-1009页

作者： YONGXI ZENG YANZHONG YU JIAN CHEN HOUAN TENG MUSHENG CHEN PINGHUI WU QIWEN ZHAN College of Physics and Information Engineering Quanzhou Normal University School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Fujian Provincial Key Laboratory for Advanced Micro-nano Photonics Technology and Devices & Key Laboratory of Information Functional Material for Fujian Higher Education

Optical skyrmions, as quasiparticles with non-trivial topological structures, have garnered significant attention in recent years. This paper proposes a method for customized spin angular momentum (SAM) distribution in highly localized focal fields, thereby enabling the generation of SAM skyrmion and bimeron topologies. The skyrmionic SAM textures can be flexibly controlled, such as polarity, vorticity, and helicity. In addition, the two-dimensional projection plane can be arbitrarily oriented within three-dimensional space.

关键词： Bose Einstein condensates Circular polarization information processing Light matter interactions Optical fields Optical manipulation

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Noise Generation Mechanisms of Marine Composite Pipelines Excited by the Internal and External Flows

Noise Generation Mechanisms of Marine Composite Pipelines Ex...

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2023 International Conference on Frontiers of Ocean science and technology, ICFOST 2023

作者： Lin, Yukun Feng, Baoming Kang, Rongjun Liu, Yongwei National Key Laboratory of Acoustic Science Technology Harbin Engineering University Harbin150001 China Key Laboratory of Marine Information Acquisition and Security Harbin Engineering University Ministry of Industry and Information Technology Harbin150001 China College of Underwater Acoustic Engineering Harbin Engineering University Harbin150001 China

The marine pipeline is an important energy transportation platform today. It can cause underwater noise pollution due to sound radiation caused by pipeline vibration during oil and gas transportation. This study focuses on the noise-generation mechanisms of marine composite pipelines under internal and external flow excitation. We investigated the impact of different materials, diameters, and wall thicknesses on the sound radiation characteristics of the pipeline under internal flow excitation. The relationship between radiated sound power and flow velocity was analysed. Additionally, we discussed the radiated sound field of marine composite pipelines under external flow excitation. Our results show that the radiated sound power under internal flow excitation is over 20 dB higher than that under external flow excitation in the 10 Hz to 2000 Hz frequency range. We conducted an experimental test near Zhoushan city, China, where the internal flow was driven by a pump and the external flow represented ocean currents. The results confirmed that the main noise-generating mechanism of marine composite pipelines is internal flow excitation. The numerical findings were validated by the experimental test. Overall, this paper provides a foundation for future investigations into the sound radiation of marine composite pipelines. © Published under licence by IOP Publishing Ltd.

关键词： Flow velocity

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Reliable and Fair Trustworthiness Evaluation Protocol for Platoon Service Recommendation System

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Chinese Journal of Electronics 2025年第2期34卷 563-575页

作者： Cheng Hongyuan Liu Yining Zhou Fei Tan Zhiyuan Zhang Xianchao School of Computer Science & Engineering Linyi University Linyi 273300 China School of Data Science and Artificial Intelligence Wenzhou University of Electronic Technology Wenzhou 325027 China Guangxi Key Laboratory of Digital Infrastructure Nanning 530023 China School of Computing Engineering & the Built Environment Edinburgh Napier University Edinburgh EH10 5DT UK College of Information Science and Engineering Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province Engineering Research Center of Intelligent Human Health Situation Awareness of Zhejiang Province Jiaxing University Jiaxing 314001 China

Aiming at the problems of the communication inefficiency and high energy consumption in vehicular networks, the platoon service recommendation systems (PSRS) are presented. Many schemes for evaluating the reputation of platoon head vehicles have been proposed to obtain and recommend reliable platoon head vehicles. These trustworthiness evaluation protocols for PSRS fail to achieve both reliability and fairness. We first provide a reliable trustworthiness evaluation method to ensure that the reputation level of platoon head vehicle can be calculated by cloud service provider (CSP) with the help of key agreement mechanism and truth discovery technology. The semi-trusted entity CSP may maliciously tamper with the reputation level of the platoon head vehicle. We also provide a reputation level confirmation method to ensure the fairness of trustworthiness evaluation. Formal security proof and security analysis are provided to show that our trustworthiness evaluation protocol can achieve the goals of privacy protection, reliability, fairness and resistance to several security attacks. Experiments demonstrate that this protocol can save execution time and achieve reliable and fair trustworthiness evaluation for PSRS.

关键词： Reliability Fairness Privacy protection Trustworthiness evaluation Vehicle platoon

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Dual-Path Spectrogram Refinement Network for Robust Speaker Verification

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Journal of Shanghai Jiaotong University (science) 2025年 1-9页

作者： Wang, Zonghui Fang, Zhihua He, Liang School of Computer Science and Technology Xinjiang University Urumqi830017 China School of Intelligence Science and Technology Xinjiang University Urumqi830017 China Xinjiang Key Laboratory of Signal Detection and Processing Urumqi830017 China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing100084 China

The accuracy and reliability of automatic speaker verification (ASV) face significant challenges in noisy environments. In recent years, joint training of speech enhancement front-end and ASV back-end has been widely applied to improve the robustness of ASV systems. Traditional joint training directly uses the enhanced speech features as the input of the back-end. However, the diversity of noise types and noise intensities will excessively suppress the enhanced features, resulting in speech distortion or residual noise. To alleviate this problem, we propose a dual-path spectrogram refinement network that enables the enhanced features to learn supplementary information from the separated noise features. In addition, we incorporate coordinate attention into the overall joint architecture to capture more comprehensive frequency and temporal information of the speaker from different spatial positions. We conduct extensive experiments on the VoxCeleb1 test set, the out-of-domain noise test set, and the VOiCES corpus. The experimental results demonstrate that our proposed method significantly improves the accuracy and robustness of speaker verification systems in both clean and noisy environments. (Figure presented.) © Shanghai Jiao Tong University 2025.

关键词： Spectrographs

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IQFormer: A Novel Transformer-Based Model With Multi-Modality Fusion for Automatic Modulation Recognition

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IEEE Transactions on Cognitive Communications and Networking 2025年第3期11卷 1623-1634页

作者： Shao, Mingyuan Li, Dingzhao Hong, Shaohua Qi, Jie Sun, Haixin Xiamen University School of Electronic Science and Engineering School of Informatics Fujian Xiamen361005 China Xiamen University School of Informatics Key Laboratory of Underwater Acoustic Communication and Marine Information Technology Ministry of Education Fujian Xiamen361005 China Ministry of Natural Resources Key Laboratory of Southeast Coast Marine Information Intelligent Perception and Application Xiamen361005 China Xiamen University School of Electronic Science and Engineering Fujian Xiamen361005 China

The advent of modern communication systems has led to the widespread application of deep learning-based automatic modulation recognition (DL-AMR) in wireless communications. However, existing networks still cannot effectively capture the complex relationships between signals under low signal-to-noise (SNR) ratio conditions. This paper proposes an automatic modulation recognition (AMR) method using multi-modal hybrid neural networks, named IQFormer. It is based on I/Q signals and time-frequency (T-F) transform distribution matrix inputs. To capture the inherent connection between spatio-temporal and T-F features in cross-modal features, we design a Dynamic Fusion Embedding (DFE) module. Within this module, feature information from multiple modalities is dynamically aggregated during the embedding stage, resulting in semantically enriched token sequences. Moreover, we develop a staged Transformer block scheme that allows IQFormer to efficiently extract local and global features from embedded tokens at different scales using convolution and attention mechanisms. Experimental results on RadioML2016.10a, RadioML2016.10b and HisarMod2019.1 datasets demonstrate the superior performance of IQFormer compared to the state-of-the-art (SOTA) DL-AMR methods. © 2015 IEEE.

关键词： Multicarrier modulation

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Identification of genes involved in cadmium-ion tolerance in evolutionary Synechocystis *** 6803 tolerant to both cadmium and high light

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Chinese Journal of Chemical engineering 2024年第10期74卷 74-82页

作者： Jie Xiong Zhengxin Dong Yaru Xie Weiwen Zhang Tao Sun Lei Chen Laboratory of Synthetic Microbiology School of Chemical Engineering&TechnologyTianjin UniversityTianjin 300072China Frontier Science Center for Synthetic Biology&Key Laboratory of Systems Bioengineering Ministry of Education of ChinaTianjin 300072China Center for Biosafety Research and Strategy Tianjin UniversityTianjin 300072China

Photosynthetic cyanobacteria have shown great potential as“autotrophic cell factories”for the synthesis of fuels and ***,poor tolerance to various environmental stressors such as high light and heavy metals is an important factor limiting their economic *** numerous studies have focused on the tolerance mechanism of cyanobacteria to individual stressors,their response to simultaneous stresses remains to be *** investigate the mechanism of cross tolerance to heavymetal Cd^(2+) and high light,the model cyanobacterium Synechocystis *** 6803 tolerant to both Cd^(2+) and high light was obtained via about 800 days’cross-adaptive laboratory *** evolutionary strains capable of tolerating both 5.5 μmol·L^(-1) Cd^(2+) and 600 μmol·m^(-2)·s^(-1) high light were successfully obtained,achieving about 83%enhancement of Cd^(2+) tolerance compared with the parent *** different response of parent and evolutionary strains to Cd^(2+) was elucidated via ***,a total of 15 genes that were mutated during evolution were identified by whole-genome ***,by single-gene knockout and complementation analysis,four genes including ssl2615,sll1732,ssr1480,and sll1659 involved in the improvement of Cd^(2+) tolerance under high-light condition were successfully *** work explored the tolerance mechanism of Synechocystis *** 6803 to cadmium under high-light condition and provided valuable reference for deciphering multitolerance mechanism of cyanobacteria in the future.

关键词： Synechocystis Adaptive laboratory evolution Cross tolerance Cadmium-ion tolerance

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Unsupervised Domain Adaptation for Variable-SNR Signal Modulation Recognition 16

Unsupervised Domain Adaptation for Variable-SNR Signal Modul...

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16th International Conference on Signal Processing systems, ICSPS 2024

作者： Bai, Zixi Wang, Qing Yang, Kai Liang, Kun School of Electronic Information and Communications Huazhong University of Science and Technology China National Key Laboratory of Electromagnetic Energy Naval University of Engineering China

ISBN: (纸本)9781510689251

When the source domain and target domain differ in Signal-to-Noise Ratio (SNR), models trained on source data tend to perform poorly on target data. Given a labeled source dataset, unsupervised domain adaptation (UDA) aims to predict the labels of the target domain dataset by aligning the features of the source and target domains. Motivated by UDA, we propose a method that aligns the feature representations of the source and target domains to enable modulation classification under variable SNRs. Our experiments demonstrate that this approach results in a performance improvement of 3.9% to 15.39% compared to a model trained only on the source domain. © 2025 SPIE.

关键词： Signal modulation

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Joint Relay Selection and Location Deployment for Multi-UAV Relaying systems Based on Stackelberg Game

Joint Relay Selection and Location Deployment for Multi-UAV ...

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2023 IEEE/CIC International Conference on Communications in China, ICCC 2023

作者： Liu, Jialiang Na, Zhenyu Lin, Ye Chen, Jiaxin Lin, Bin Dalian Maritime University School of Information Science and Technology Dalian116000 China Guangdong Provincial Key Laboratory of Aerospace Communication and Networking Technology Shenzhen518055 China Science and Technology on Information Systems Engineering Laboratory Nanjing210023 China Peng Cheng Laboratory Shenzhen518052 China

ISBN: (纸本)9798350345384

Due to its flexible networking capability and strong resilience, the multi-unmanned aerial vehicle (UAV) system can provide robust communication support. However, the selection of relay UAVs by users and the location of UAVs are intricately linked to the performance of the system. Therefore, this paper establishes a multi-UAV relaying system model based on a hierarchical game framework and proposes a joint optimization scheme for relay selection and location deployment (RSLD) based on Stackelberg game. The optimization objective is to maximize the global network rate of the system under limited channel resources. Due to the discrete nature of relay selection, this paper models the competition among users for relays using a congestion game model. Based on a many-to-one matching game, the relay selection of each user is adjusted. Subsequently, the relay UAVs optimize their location deployment using a mixed strategy and an iterative algorithm. The two processes iterate with each other until the Stackelberg equilibrium is reached. Simulation results demonstrate that the proposed RSLD scheme achieves higher transmission and fairness satisfaction compared with the random relay assignment scheme. Furthermore, it has good robustness when facing changes in network states. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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