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Culture-Oriented Science and technology (CoST), International Conference on

作者： Xiaomeng Ren Zhibin Su Wei Jiang Jingyu Liu State Key Laboratory of Media Convergence and Communication (Communication University of China) China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism (Communication University of China) China School of Information and Communication Engineering (Communication University of China) China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

As an integral component of modern cultural works, the role of film and television music in artistic expression and emotional communication has become increasingly significant. Timbre, as a crucial attribute of music, has primarily been studied in terms of the influence of its fundamental objective parameters on coarse-grained emotions. However, there is a lack of in-depth exploration of the association between timbre perception features and fine-grained emotion. Consequently, this paper approaches from the perspective of timbre perception features and fine-grained emotions in film and television music. By conducting perceptual evaluation and subjective emotional annotation experiments, it analyzes the correlation between timbre perception features and fine-grained emotions, confirming that timbre perception features significantly influence musical emotions. Furthermore, a multivariate linear regression model was employed to construct a fine-grained emotion prediction model, which has demonstrated good predictive ability for most musical emotions. This research provides a new perspective on understanding the relationship between timbre and emotion in film and television music, offering a scientific basis for its creation and performance.

关键词： TV Costs Correlation Annotations Linear regression Predictive models Timbre

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Piano Concerto Source Separation Based on Speech Separation and Channel Attention

Piano Concerto Source Separation Based on Speech Separation ...

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Culture-Oriented Science and technology (CoST), International Conference on

作者： Jingyu Liu JingJing Zhou Xinyan He Wei He State Key Laboratory of Media Convergence and Communication Communication University of China China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Communication University of China China School of Information and Communication Engineering Communication University of China China School of Faculty of International Media Communication University of China China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

The Mossformer model excels in speech separation but has not been effectively applied to music source separation. Music sources have complex characteristics and higher sampling rates, making separation tasks more challenging. We addressed a rarely explored task of separating piano concerto recordings into individual piano and orchestral tracks. This process involves intricate coordination between the piano and orchestra, creating highly complex audio signals in both time and frequency domains. Our main contributions include: (1) adapting the speech separation model for the novel task of piano concerto source separation, constructing and processing a specialized dataset.(2) introducing channel attention in the separation module to dynamically adjust feature focus based on instrument characteristics, enhancing key features. Experiments on the Piano Concerto Dataset (PCD) showed improved separation performance, with a 0.22dB average Signal-to-Distortion Ratio (SDR) increase over the baseline model.

关键词： Adaptation models Source separation Costs Instruments Frequency-domain analysis Speech enhancement Recording

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Superpixel-Based Nearshore Ship Detection Method Enhanced by Fuzzy C-Means Clustering

Superpixel-Based Nearshore Ship Detection Method Enhanced by...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Wenlong Hu Jie Long Qian Liu Chang Liu Qingsong Wang School of Electronics and Communication Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen China Beijing Institute of Control and Electronic Technology Beijing China

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Nearshore ship detection remains a challenging task due to the similarity in grayscale between harbor areas and ships. In this paper, we propose a new superpixel-based nearshore ship detection method, which effectively reduces land false alarms by the fuzzy C-means (FCM) algorithm. First, the method applies the simple linear iterative clustering (SLIC) algorithm to generate superpixel regions. Superpixels can preserve the boundary of the target and reduce the effects of speckle noise for target detection in synthetic aperture radar (SAR) images. Subsequently, we used the FCM algorithm to quantify the statistical differences between different super-pixels, and the clustering results can serve as an indicative measure of the probability that each superpixel belongs to the sea category. Finally, we incorporate this probability into our proposed saliency detection method, facilitating the efficient identification of the ship regions. The experimental results show that the method can robustly and efficiently detect nearshore ship targets.

关键词： Image segmentation Fitting Clustering algorithms Probability Speckle Radar polarimetry Marine vehicles

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Remaining Life Prediction Method of Rolling Bearing Based on TD3 Optimization Model Updating Strategy

Remaining Life Prediction Method of Rolling Bearing Based on...

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International Conference on Electronic measurement and Instruments, ICEMI

作者： Yujing Wang Guangpeng Jiao Shouqiang Kang Jinbao Xie Yulin Sun School of Measurement-Control and Communication Engineering Harbin University of Science and Technology Harbin China School of Physics and Electronic Engineering Hainan Normal University Haikou China

To address the problems of model degradation and low prediction accuracy in the of update procedure the rolling bearing life prediction model, the updating strategy of twin delayed deep deterministic policy gradient(TD3) is suggested to optimize the prediction model, and it applied to rolling bearing remaining useful life prediction. Continuous wavelet transform is used to build a dataset by converting the rolling bearing vibration data into two-dimensional time-frequency spectrum diagram. Deep reinforcement learning is introduced to design the elements of state, action, reward value and loss function, which are employed to training of the prediction model, this model is composed convolutional neural network (CNN) and bidirectional long short-term memory. The delayed update and soft update techniques of the TD3 algorithm are used to reduce the update frequency of the CNN feature network. A new loss function is proposed to establish a new model updating strategy for solving the prediction model degradation problem. The experimental study using the PHM2012 dataset and the finding indicate that, in comparison to the compared methodologies, the suggested prediction method with model optimization strategy can reduce the root mean square error and mean square error by more than 23.8% and 20.8% respectively, reducing the prediction error by at least 18.6% and improve the scores by more than 0.213.

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Zero-Order-Term Suppression in Off-Axis Digital Holography Based Onbinary Kronecker-Product Image Interpolation

SSRN

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SSRN 2024年

作者： Yu, Xuelian Xie, Zhenfei Bao, Xingxu Niu, Jia Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China Harbin University of Science and Technology China

Off-axis digital holography can reconstruct the amplitude and phase of the imaging object by selecting the original term spectrum through filtering. A larger filtering range contains more effective information from the original term spectrum. However, the presence of zero-order term limits the size of the filter window and consequently affects the resolution of reconstruction. In this work, we propose a spliced spectrum method based on binary Kronecker-product image interpolation to better suppress zero-order term and improve the quality of reconstruction. Additionally, a rectangular Butterworth filter is also introduced to make the reconstructed images smoother and more regular. We demonstrate the feasibility of this method through simulations of a picture and experiments with two different imaging objects. © 2024, The Authors. All rights reserved.

关键词： Interpolation

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Three-Dimensional Numerical Simulation on Flow-Induced Vibration of Condenser Tube Bundles

Three-Dimensional Numerical Simulation on Flow-Induced Vibra...

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2021 OES China Ocean Acoustics, COA 2021

作者： Li, Yuelin Sun, Chao Liu, Yuechan Ai, Shiqin Harbin University of Science and Technology Harbin School of Measurement-Control Technology and Communication Engineering China Harbin City150080 China

ISBN: (纸本)9781728181905

Taking the heat exchange tube in the condenser as the research object, the three-dimensional finite element model of the heat exchange tube and the Internal and external fluid of pipe is established, and the bidirectional fluid-solid coupling calculation of the heat exchange tube is carried out. The time-domain and frequency-domain curves of lift, drag and displacement of the heat exchange tube and the time-domain and frequency-domain curves of the pressure pulsation in the tube are obtained. At the same time, the acoustic simulation calculation is carried out for the vibration noise of the heat exchange tube. The time domain and frequency domain curves of sound pressure near the heat exchange tube are obtained. The simulation results show that the frequency of pressure pulsation corresponds to the frequency of lift and drag. The flow velocity in the tube studied in this paper will affect the amplitude and waveform of the pressure pulsation but will not affect its frequency. The sound pressure frequency of the upper and lower sides of the heat exchange tube only corresponds to the lift frequency, and the sound pressure frequency on the left and right side corresponds to the lift and drag frequencies. © 2021 IEEE.

关键词： Flow velocity

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Multipath planning based on multimodal optimization slime mold algorithm

Multipath planning based on multimodal optimization slime mo...

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Culture-Oriented Science and technology (CoST), International Conference on

作者： Luli Gao Hui Ren School of Information and Communication Engineering Communication University of China Bejing China Key laboratory of Acoustic Visual Technology and Intelligent Control System(Communication University of China)Ministry of Culture and Tourism Bejing China Beijing Key Laboratory of Modern Entertainment Technology (Communication University of China) Bejing China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

Multipath planning aims to find multiple optimal paths simultaneously, and its essence is a multimodal optimization problem. In recent years, swarm intelligence (SI) optimization algorithms have provided effective solutions for multimodal optimization. In this paper, the multimodal optimization slime mold algorithm (MOSMA) based on master-slave structure and local search strategy (LS) is proposed to solve multipath planning problems in small cultural complex. Firstly, a local search strategy is introduced to eliminate the influence of the “centerbias” operator and improve the quality of solutions. Secondly, the master-salves structure is introduced to preserve the diversity of the population and enable it to simultaneously locate multiple solutions. Finally, the performance of MOSMA is analyzed on several multimodal functions, and an example of path planning in a small cultural complex is given.

关键词： Location awareness Costs Search problems Main-secondary Path planning Planning Cultural differences

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Feature Distribution Distillation-Based Few Shot Class Incremental Learning 5

Feature Distribution Distillation-Based Few Shot Class Incre...

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5th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2022

作者： Zhu, Juntao Yao, Guangle Zhou, Wenlong Zhang, Guiyu Ping, Wang Zhang, Wei Chengdu610059 China Artificial Intelligence Key Laboratory of Sichuan Province Yibin643000 China Sichuan University of Science & Engineering School of Automation & Information Engineering Yibin64300 China Chengdu Technological University Communication Engineering School Chengdu611730 China University of Electronic Science and Technology of China School of Information and Communication Engineering Sichuan Chengdu611731 China Science and Technology on Electronic Information Control Laboratory Sichuan Chengdu610036 China

ISBN: (数字)9781665499163

ISBN: (纸本)9781665499163

This paper focuses on the challenging but practical problem: convolutional neural networks (CNN) based few-shot class-incremental learning (FSCIL), which requires learning new knowledge incrementally from a few examples without forgetting the previously learned knowledge. To balance the memory of the old knowledge and the adaptation to the new knowledge, we propose a feature distribution distillation-based incremental learning framework. First, we freeze the shallow parameters of the network to alleviate the massive forgetting of the learned knowledge. Then, we propose a feature distribution-based knowledge distillation loss to transfer the previously knowledge. Finally, we also generate the classification weights initialization for each new class to improve the adaptation of the network. Extensive experiments show that our proposed method can effectively alleviate the forgetting of the previously knowledge and improve the adaptability to the new knowledge. Our method outperforms other state-of-the-art few-shot class incremental learning methods on MiniImageNet dataset and gets a competitive result on CIFAR-100 dataset. © 2022 IEEE.

关键词： Distillation

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A Planar Quad-Band Bandpass Filter Employing Transmission Lines Loaded with Tri-Stepped Impedance Open-and Dual-Stepped Impedance Short-Ended Resonators

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Progress In Electromagnetics Research C 2024年 147卷 65-72页

作者： Arif, Kamran Phani Kumar, Kanaparthi V. Barik, Rusan Kumar Chakaravarthi, Geetha Department of Instrumentation and Control Engineering National Institute of Technology Tiruchirappalli Tamil Nadu Tiruchirappalli620015 India Department of Electronics and Communication Engineering Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu 603203 India School of Microelectronics Southern University of Science and Technology Guangdong Shenzhen518055 China

A highly miniaturized bandpass filter with quad-band response is demonstrated in this article. The proposed quad-band bandpass filter has a novel topology comprising series quarter wavelength transmission lines loaded with tri-stepped impedance open-ended resonators and a dual-stepped impedance short-ended resonator. The proposed quad-band bandpass filter configuration is validated by theoretically verifying the transmission zeros and pole frequencies using even-odd mode analysis. A prototype operating at 0.475 GHz, 1.695 GHz, 3.48 GHz, and 4.53 GHz is designed, implemented, and experimented. The tested insertion losses at these center frequencies are 0.38 dB, 0.71 dB, 1.03 dB, and 1.22 dB, and the return loss is better than 10 dB in each passband. Each passband is isolated by a transmission zero with a rejection better than 40 dB. The proposed quad-band filter occupies a compact size of 0.146 × 0.087λ2g and is distinguished by its high compactness, wide bandwidth, multiple transmission zeros and poles, and high performance compared to benchmark designs making it more suitable for multi-band wireless applications. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Bandpass filters

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Reliability Allocation of Cruise Ship Automation System Based on BBWM-AHP

Reliability Allocation of Cruise Ship Automation System Base...

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System Reliability and Safety engineering (SRSE), International Conference on

作者： Jiaxin Xiang Yongquan Sun Hao Wang Hongke Chen School of Measurement and Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China China Institute of Marine Technology & Economy Beijing China School of Mechanical and Electrical Engineering & Automation Xiamen University Tan Kah Kee College Zhangzhou China

ISBN: (数字)9798350356083

ISBN: (纸本)9798350356090

Limited reliability data during the development of cruise ship automation systems often leads to subjective weight allocation. This paper proposes an reliability allocation method based on the Bayesian best-worst method and analytic hierarchy process to address this challenge. By considering the system reliability indices, influencing factors, and units need to be allocated, a hierarchical model is established for reliability allocation based on the analytic hierarchy process. The Bayesian best-worst method compares elements in each layer, generating best and worst matrices based on decision-makers. These matrices determine optimal weights for each layer’s elements. The analytic hierarchy process determines relative importance weights among the system reliability index, influencing factors, and units. Consequently, the derived optimal weights are converted into allocation factors, which enable the allocation of reliability for cruise ship automation systems. This fusion-based approach presents a novel and effective method for optimizing reliability allocation during the development stage of complex systems.

关键词： Automation Analytic hierarchy process Reliability engineering Bayes methods Safety Reliability Resource management Indexes Marine vehicles Matrix converters

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