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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Hu, Chaoyu Bai, Shilei Zhang, Mengfei Communication University of China School of Information and Communication Engineering Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China

ISBN: (纸本)9798350380347

Oral history involves conveying experienced events through spoken narratives, typically preserved and later studied by converting spoken language into text. Named entity recognition (NER) is the recognition of meaningful named entities in text, such as person names, locations, organizations, etc. Conducting NER research on oral history text is significant as it not only facilitates the verification of named entities by researchers but also allows for the extraction of key information from texts through named entities. By collecting oral history corpus, we establish an oral history text dataset, manually annotating all texts with six entity labels and repeatedly verifying them manually. Utilizing the concept of machine reading comprehension (MRC), a semantic fusion module was added, integrating label information into text information using a cross-attention mechanism, and decoding the corresponding entity labels through span decoding. The final model performs well on the oral history text dataset and also showed good performance on general Chinese datasets. © 2024 IEEE.

关键词： Decoding

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Multiclass Classification of Remote Sensing Images Using Deep Learning Techniques

Multiclass Classification of Remote Sensing Images Using Dee...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Tahir Arshad Zhang Junping Qingyan Wang School of Electronics and Information Engineering Harbin Institute of Technology China School of Measurement-Control and Communication Engineering Harbin University of Science and Technology

Deep learning has strong learning ability to extract the features from Image datasets. In recent years, deep networks especially deep convolutional neural networks have revolutionized this field. When exposed to a huge number of datasets and their labels, deep learning techniques like Convolutional Neural Networks (CNNs) can produce precise categorization results. However, employing CNNs with scant labeled data might have a number of issues, including the problem of heavy overfitting. Convolutional Neural Networks are the backbone of modern deep learning architectures for the purpose of image classification. We solved image classification problem with different architectures and compare their performances. The objective of this work lies in the approach to study the given datasets. We use domain adaptation approach to highlight the underlying characteristics of these datasets and the different parameters (activation function, weights, regularization, neural simulation etc.) associated with these architectures. In our work, we use three datasets—RS19, UC Merced, and EuroSat images—were utilized in the CNN implementation to training the suggested model. The obtained results effectively demonstrate the local representation capacity of CNNs. Furthermore, this work shows that transfer learning improves classification outcomes in optical remote sensing images, particularly when the training sample is small.

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A Singing Formant Extraction Method Based on Peak Fitting

A Singing Formant Extraction Method Based on Peak Fitting

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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Liu, Jingyu Wu, Jiawei Jiang, Wei State Key Laboratory of Media Convergence and Communication Communication University of China 100024 China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Communication University of China 100024 China Communication University of China School of Information and Communication Engineering 100024 China

ISBN: (纸本)9798350380347

Analyzing the timbre characteristics of different singing genres is an important issue in the field of singing acoustics. Formants are an important characteristic parameter for timbre perception, but classical acoustic formant extraction methods lack accuracy and applicability in the analysis of singing genres. In order to solve the problem of insufficient accuracy and applicability of singing formants in singing genre analysis, this paper proposes a singing formant extraction method based on peak fitting. The paper summarizes the theory and methods of extracting vocal formants and based on a large amount of experimental data analysis, proposes a vocal formant feature extraction method based on peak fitting;The effectiveness of the singing formant extraction method based on peak fitting was verified through comparative experiments with existing formant algorithms. This article provides new research ideas and methods for extracting acoustic features in singing. © 2024 IEEE.

关键词： audio feature extraction formant peak fitting singing acoustic singing genre

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Association between Timbre Perception Features and Fine-Grained Emotions in Film and Television Music

Association between Timbre Perception Features and Fine-Grai...

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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Ren, Xiaomeng Su, Zhibin Jiang, Wei Liu, Jingyu State Key Laboratory of Media Convergence and Communication Communication University of China 100024 China Ministry of Culture and Tourism Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System 100024 China School of Information and Communication Engineering Communication University of China 100024 China

ISBN: (纸本)9798350380347

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. © 2024 IEEE.

关键词： fine-grained emotion multiple linear regression timbre emotion association timbre perception features

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Recent technology Advancements in Smart City Management:A Review

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Computers, Materials & Continua 2024年第12期81卷 3617-3663页

作者： Chiranjeevi Karri JoséJ.M.Machado Joao Manuel R.S.Tavares Deepak Kumar Jain Suresh Dannana Santosh Kumar Gottapu Amir H.Gandomi Department of Mechanical Engineering Faculty of EngineeringUniversity of PortoPorto4200-465Portugal Department of Electronics and Communication Engineering Andhra University College of EngineeringAndhra UniversityVisakhaptnam530003Andhra PradeshIndia Laboratory of lntelligent Control and Optimization for Industrial Equipment of Ministry of Education School of Artificial IntelligenceDalian University of TechnologyDalian116024China Department of Electronics and Communication Engineering GMR Institute of TechnologyRajamVizianagaram532127Andhra PradeshIndia Department of Civil Engineering Gayatri Vidya Parishad College of Engineering(GVPCE)Visakhapatnam530048Andhra PradeshIndia Faculty of Engineering&Information Technology University of Technology SydneyUltimoNSW 2007Australia University Research and Innovation Center(EKIK) óbuda UniversityBudapest1034Hungary

The rapid population growth,insecure lifestyle,wastage of natural resources,indiscipline behavior of human beings,urgency in the medical field,security of patient information,agricultural-related problems,and automation requirements in industries are the reasons for invention of *** cities aim to address these challenges through the integration of technology,data,and innovative *** a smart city involves integrating advanced technologies and data-driven solutions to enhance urban living,improve resource efficiency,and create sustainable *** review presents five of the most critical technologies for smart and/or safe cities,addressing pertinent topics such as intelligent traffic management systems,information and communications technology,blockchain technology,re-identification,and the Internet of *** challenges,observations,and remarks of each technology in solving problems are discussed,and the dependency effects on the technologies’performance are also *** deep learning models for various applications are *** models performance,their dependency on dataset size,type,hyper-parameters,and the non-availability of labels or ground truth are discussed.

关键词： Smart cities intelligent traffic management systems internet of things deep learning blockchain technology

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Source Separation of Piano Concertos Using Hybrid LSTM-Transformer Model

Source Separation of Piano Concertos Using Hybrid LSTM-Trans...

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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Liu, JingYu He, Wei Zhou, Jingjing Jiang, Wei State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China School of Information and Communication Engineering Communication University of China Beijing China

ISBN: (纸本)9798350380347

Music source separation, the process of extracting independent audio streams from a complex mix, has traditionally focused on isolating vocals, drums, bass, and other primary sources. This study tackles the more intricate task of separating the piano component from a piano concerto-a challenge compounded by the diverse range of instruments and the dynamic shifts in volume and timbre. Unlike traditional music separation tasks, the piano's distinct characteristics and its interaction with the orchestra demand a more nuanced *** address the scarcity of multi-track recordings for piano concertos, this research pioneers an artificial data synthesis strategy to create a robust training dataset. We introduce a novel hybrid deep learning model that integrates Long Short-Term Memory (LSTM) networks with Transformer architecture, capitalizing on their complementary strengths to distinguish piano melodies from the rich tapestry of orchestral sounds. Our experiments demonstrate that this hybrid approach significantly outperforms conventional methods, with an improvement of 3.18 dB in signal-to-distortion ratio. These results not only validate the efficacy of proposed method but also pave the way for innovative applications in classical music source separation. © 2024 IEEE.

关键词： Source separation

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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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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Liu, Jingyu Zhou, JingJing He, Xinyan He, Wei Communication University of China State Key Laboratory of Media Convergence and Communication 100024 China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism 100024 China Communication University of China School of Information and Communication Engineering 100024 China Communication University of China School of Faculty of International Media 100024 China

ISBN: (纸本)9798350380347

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. © 2024 IEEE.

关键词： Source separation

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Research on Risk Analysis for Lighting and Sound Equipment of Temporarily Constructed Stage

Research on Risk Analysis for Lighting and Sound Equipment o...

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2023 International Conference on Culture-Oriented Science and technology, CoST 2023

作者： Zhang, Xueying Su, Zhibin Wang, Huiqin Jiang, Yujian School of Information and Communication Engineering Communication University of China China Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (纸本)9798350357998

With the increasing demand for stage performance activities, the quality and safety of performance equipment, especially for the temporarily constructed stage, have become important topics that cannot be ignored. In order to enhance the safety of performance equipment and improve the service quality, this article mainly conducts risk analysis and safety assessment on the lighting and sound equipment for stage of temporary perform site without protective measures, and uses Analytic Hierarchy Process (AHP) with Fuzzy Comprehensive Evaluation (FCE) to conduct risk analysis and evaluation. The calculated risk level of stage lighting and sound equipment is given, and relevant safety measures are proposed to reduce the potential risks. © 2023 IEEE.

关键词： Analytic hierarchy process

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Research on Safety Integrity Level Assessment for Stage Machinery of Temporary Performance Site

Research on Safety Integrity Level Assessment for Stage Mach...

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2023 International Conference on Culture-Oriented Science and technology, CoST 2023

作者： Hu, Yubin Su, Zhibin Wang, Zixiao Wang, Huiqin School of Information and Communication Engineering Communication University of China China Ministry of Culture and Tourism Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing China

ISBN: (纸本)9798350357998

The safety assessment of stage performing arts equipment for the temporary site is an urgent task to be solved. In this paper, the lifting equipment is chosen for risk analysis, safety circuit identification and safety integrity level (SIL) calculation. The Hazard and Operability Study(HAZOP) and Layer Of Protection Analysis(LOPA)-based method is studied to get the expected SIL level of the related safety loops. In addition, the fault tree and Markov model methods are used to verify the actual SIL level under the existing loop structure respectively. This study provides the theory and data basis for the development of safety requirements and evaluation standards for the temporary theater of stage machinery, which has certain theoretical significance and application value. © 2023 IEEE.

关键词： Risk analysis

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Incoherent spectral imaging based on Bessel beams 2

Incoherent spectral imaging based on Bessel beams

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2nd Advanced Imaging and Information Processing Conference, AIIP 2024

作者： Cheng, Xukun Yu, Xuelian Wang, Zhengxian Yin, Hao Zhao, Lihang Li, Jia Niu, Jia Heilongjiang Provincial Key Laboratory of Quantum Control School of Measurement and Communication Engineering Harbin University of Science and Technology Harbin150080 China Shanxi Key Laboratory of Quantum Information and Quantum Optoelectronic Devices School of Physics Xi’an Jiaotong University Xi’an710049 China Daheng New Epoch Technology Inc. Beijing100085 China

ISBN: (纸本)9781510683068

Spectral resolution is crucial for achieving precise and high-quality imaging and analysis in imaging systems. Coded aperture correlation holography system face challenges in distinguishing objects at different wavelengths due to their limited spectral resolution. This paper presents a method that combines Bessel beams with a lens phase mask to encode an object's spatial and spectral information into a hologram. Reconstruction is achieved by cross-correlating with the point spread hologram for each wavelength, enabling precise imaging under multi-wavelength conditions. Simulation results show that this method only requires recording a single object hologram at the same wavelength, eliminating the need for multiple recordings. It also offers high spectral sensitivity and spectral resolution. This method is expected to further advance the application of spectral imaging technology in fields such as high-resolution imaging and microscopic endoscopy. © 2024 SPIE.

关键词： Holograms

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