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Application of AE keying technology in film and television post-production 3

Application of AE keying technology in film and television p...

引用

3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： Geng, Hongjie Zhou, Mingming Harbin University of Science and Technology Heilongjiang Harbin150080 China Harbin Normal University Heilongjiang Harbin150080 China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

Film and television production is one of the sources of modern entertainment and key content. With the rapid development and popularization of digital technology, its application proportion in film and television production is constantly increasing. AE keying technology is a digital production technology that is frequently used in film and television post-production, and its role is very important. Through the application of AE keying technology, film and television post-production is more convenient and efficient, and keying synthesis technology involves a wide range, which is of great value in the industry. Based on this, this paper introduces the meaning of film and television post-production and AE keying technology, and introduces the plug-in technology of AE. At the same time, it introduces the specific application of AE keying technology from three aspects: brightness keying, chroma keying and Key light keying, so as to provide help for film and television post-production personnel. © 2022 IEEE.

关键词： information science TV Brightness Entertainment industry Production Motion pictures Software

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Research on centralized distribution network protection scheme based on split hierarchical architecture 8

Research on centralized distribution network protection sche...

引用

8th international conference on Energy System, Electricity, and Power, ESEP 2023

作者： Li, Hongwei Wang, Qilin Xu, Qiyuan Shenzhen Power Supply Co. Ltd. No.1 Tianbei 3rd Road Shenzhen China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

With the development of smart distribution networks, the access of distribution generation (DG) presented new challenges to the operation and protection of power systems. Based on the hierarchical and modular structural ideas, this paper constructs a centralized distribution network protection system structure with a split layered architecture. The system improves protection accuracy and reliability through split protection, and achieves independent configuration, flexibility, fault isolation, information exchange and scalability. At the same time, protection efficiency is improved through hierarchical protection, hierarchical configuration, coordinated operation and rapid recovery are achieved to optimize power supply reliability. Under different fault scenarios, split and layered distribution network centralized protection is used to analyze the interaction process of random loads and intermittent distributed power sources on the active distribution network. Simulation results show that the architecture is effective and correct. © 2024 SPIE.

关键词： Electric power distribution

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Research on raw speech isolated word recognition based on Sincnet-CNN model 3

Research on raw speech isolated word recognition based on Si...

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3rd international conference on information Science, parallel and distributed systems, ISPDS 2022

作者： Hu, Gao-Yang Zeng, Qing-Ning Long, Chao Geng, Dian-Qiang Guilin University of Electronic Technology School of Information and Communication Guilin China

ISBN: (数字)9781665487474

ISBN: (纸本)9781665487474

In order to effectively speed up the model training time, reduce the model training parameters and improve the accuracy of raw speech isolated word recognition. An interpretable convolutional filter structure (sincnet) combined with convolutional neural network (CNN) is proposed for the task of raw speech isolated word recognition. On the premise of ensuring the speech recognition rate, the model structure becomes lightweight and the computational complexity is reduced. The experimental results show that compared with the traditional neural network model, the proposed model can effectively improve the performance of raw speech isolated word recognition. © 2022 IEEE.

关键词： Convolution

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Improved parallel k-means Clustering Algorithm 3

Improved Parallel k-means Clustering Algorithm

引用

3rd international conference on Computing and information Technology, ICCIT 2023

作者： Alghamdi, Lama Alkharraa, Mariam Alzahrani, Sahar Bawazir, Hajar Alhajri, Wadha Alhajri, Asma Nagy, Naya Gollapalli, Mohammed Imam Abdulrahman Bin Faisal University College of Computer Science & Information Technology Department of Computer Engineering Dammam31441 Saudi Arabia Imam Abdulrahman Bin Faisal University Applied College Department of Computer Science Dammam31441 Saudi Arabia Imam Abdulrahman Bin Faisal University College of Computer Science and Information Technology Department of Computer Information Systems Dammam Saudi Arabia

ISBN: (纸本)9798350321487

The K-means algorithm, one of the most well-known clustering techniques, has been widely employed to solve a variety of problems. In contrast, the k-means clustering algorithm has numerous restrictions. For instance, the difficulty of dealing with voluminous data, the sensitivity of the outlier, and the random selection of the initial centroid. In this paper, a parallel K-means clustering algorithm is proposed that improves the performance of sequential K-means clustering algorithms by removing outliers from the data before clustering, dividing the data into smaller sections among the threads, and selecting the initial centroid with care. Our primary parallelization tool was OpenMP, which was implemented using the C programming language on 234,296 records. This experiment was conducted using sequential and parallel source code, with modifications made to enhance the parallel functionality. The improved parallel execution resulted in a significant reduction in execution time relative to sequential algorithms. The proposed algorithm source code is also available on GitHub for the community. © 2023 IEEE.

关键词： Machine learning

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Zero-shot Data-to-text generation via dual learning 3

Zero-shot Data-to-text generation via dual learning

引用

3rd international conference on Electronic information Engineering and Data Processing, EIEDP 2024

作者： Liao, Weiming Chen, Bo Zhao, Xiaobing School of Information Engineering Minzu University of China China

ISBN: (纸本)9781510680531

Data-to-text task aims to convert structured data into natural language text. However, the lack of large parallel data is a major practical problem for many domains in data-to-text generation. To address these issues, this paper proposes a method based on dual learning. Dual learning simultaneously learns two mutually dual generator and extractor, where the generator is responsible for text generation and the extractor for information extraction. Through dual learning, we can effectively utilize the interrelationships between unaligned data, thereby improving the performance of the generation model. We conduct experiments on an advertising datasets, and compare with traditional generation models. Experimental results demonstrate that the dual learning-based method achieves nearly the same performance as fully supervised approaches for the data-to-text generation task validating its effectiveness and feasibility in data-to-text generation tasks. © 2024 SPIE.

关键词： Zero-shot learning

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parallel Dispatching for High-Speed Railways: Framework, Technology Route and Implementation Scheme* 3

Parallel Dispatching for High-Speed Railways: Framework, Tec...

引用

3rd IEEE international conference on Digital Twins and parallel Intelligence, DTPI 2023

作者： Zhou, Min Dong, Hairong Liu, Xuan Wang, Hongwei Beijing Jiaotong University School of Electronic and Information Engineering Beijing China Beijing Jiaotong University National Research Center of Railway Safety Assessment Beijing China

ISBN: (纸本)9798350318470

To address the intricate challenges in train dispatching and command within China's extensive high-speed rail (HSR) network, this paper proposes a parallel dispatching approach based on the ACP (Artificial systems, Computational experiments, and parallel execution) methodology. The framework and technical architecture of the parallel dispatching system (PDS) are introduced, providing detailed insights into each core module. Beginning with the establishment of the PDS of HSRs with deep integration of the physical-artificial system, the methods of train operation situation deduction, rapid generation of dispatching strategies, and comprehensive evaluation of parallel dispatching are given from different scales. Then, the construction of a parallel dispatching platform for HSRs is proposed with the dispatching system of a real line as a prototype. The PDS can provide support for the accurate deduction of operational situations and rapid generation of dispatching solutions with limited computational complexity. © 2023 IEEE.

关键词： Railroad transportation

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Research on the Application of Computer Big Data information Technology in E-Commerce Platform 3

Research on the Application of Computer Big Data Information...

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3rd international Signal Processing, Communications and Engineering Management conference, ISPCEM 2023

作者： Zheng, Lei Tang, Yan School of Business Shenzhen Institute of Technology Shenzhen China

ISBN: (纸本)9798350307023

A simple processing background based on Scrapy crawler framework is designed, which uses distributed scraping means to carry out objective and comprehensive evaluation of the main consumption characteristics of users from a large amount of data. Using the use case diagram, the functional requirements of user management and column management are visualized, and reasonable suggestions are made for the design scheme of the overall architecture and functional structure of the system, and the database design is used to support the realization of each functional module. The reliability by analyzing a large amount of data. © 2023 IEEE.

关键词： Data mining

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Incentivizing Sustainable Behaviour using Blockchain for Ecofriendly Transportation 3

Incentivizing Sustainable Behaviour using Blockchain for Eco...

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3rd IEEE international conference on Blockchain and distributed systems Security, ICBDS 2024

作者： Barkule, Shivam Shelke, Priya Shewale, Chaitali Dedgoankar, Suruchi Wawage, Pawan Kulkarni, Pradnya BRACT's Vishwakarma Institute of Information Technology Department of Information Technology Pune India BRACT's Vishwakarma Institute of Technology Department of Information Technology Pune India Mit Wpu Department of Computer Engineering Kothrud Pune India

ISBN: (纸本)9798350354348

This research paper explores the potential of blockchain technology in promoting and incentivizing sustainable behavior among individuals and organizations. By leveraging the unique features of blockchain, such as transparency, immutability, and smart contract capabilities, innovative incentive mechanisms can be developed to reward environmentally friendly actions. The paper examines the use of tokenized rewards to encourage activities such as recycling, reducing energy consumption, and utilizing eco-friendly transportation options. The study delves into the challenges faced by traditional incentive systems and highlights how blockchain-based solutions can overcome these limitations. Furthermore, the paper discusses the potential benefits of implementing blockchain-based incentive mechanisms, including increased adoption of sustainable practices, enhanced transparency, and improved trust among stakeholders. This research contributes to the ongoing discourse on the application of blockchain technology in promoting sustainable behavior and provides valuable insights for policymakers, businesses, and researchers alike. By demonstrating the potential of blockchain-based incentive mechanisms, this paper aims to encourage further exploration and development of innovative solutions to combat global waste and resource crises. © 2024 IEEE.

关键词： Smart contract

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Research on distributed PV network terminal identification technology based on device fingerprint generation 3

Research on distributed PV network terminal identification t...

引用

3rd international conference on Computer Technology, information Engineering, and Electron Materials, CTIEEM 2023

作者： Lv, Zhuo Yang, Wen Chen, Cen Zhang, Zheng Chang, Hao State Grid Henan Electric Power Research Institute Zhengzhou China

ISBN: (纸本)9781510672925

With the development of information technology and electric power industry, modern power grid system gradually integrates computer intelligent technology. distributed photovoltaic network, as an important power supply system using new sustainable energy, contains a large number of intelligent terminal equipment, which leads to the distributed photovoltaic network facing more serious security threats. In order to promote the construction of distributed photovoltaic power network security protection system, this paper proposes an intelligent device fingerprint access technology for distributed photovoltaic power network system. Based on adaptive filtering, the device anti-forgery fingerprint is generated, which involves the field of artificial intelligence and network security. Among them, through the innovative combination of the adaptive filtering algorithm NLMS and LMS algorithm, the weighted average optimization of the feature set, combined with the artificial intelligence classification and recognition algorithm, the specific characteristics of the parameters at the convergence of the adaptive filtering technology are achieved, and efficient device fingerprint generation is realized. It can realize the device authentication of the distributed photovoltaic network intelligent terminal equipment access, so as to effectively improve the comprehensive defense capability of the distributed photovoltaic network. © 2024 SPIE.

关键词： Adaptive filtering

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distributed Intelligence Analysis Architecture for 6G Core Network 18th

Distributed Intelligence Analysis Architecture for 6G Core N...

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18th international conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

作者： Sun, Wen Sun, QiBo Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing 100876 Peoples R China

ISBN: (纸本)9789819722747;9789819722754

To achieve automation and intelligence in 5G networks, the 3rd Generation Partnership Project (3GPP) introduced the Network Data Analysis Function (NWDAF) as a novel network function. However, in the traditional 5G core network architecture, NWDAF relies on fixed configurations for data collection, lacking support for user customization and flexibility. Additionally, the current deployment of NWDAF is predominantly centralized, failing to provide real-time and reliable analysis services for the massive data in future 6G systems. Moreover, it is incapable of ensuring user privacy, making it incompatible with emerging scenarios like federated learning in 6G. Therefore, this paper proposes a user-customizable data collection approach and introduces a distributed NWDAF deployment based on the Raft algorithm, where the master node assigns data collection, analysis, and inference tasks to multiple worker NWDAFs. Our work and experimental results demonstrate that the proposed architecture effectively addresses these challenges and further achieves closed-loop network automation in 6G systems.

关键词： Core network Network data analysis Raft algorithm

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