With the rapid development of science and technology, big data technology is profoundly changing all walks of life, and the library management of public libraries is also deeply affected. In the era of big data, how t...
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ISBN:
(纸本)9798350388732;9798350388725
With the rapid development of science and technology, big data technology is profoundly changing all walks of life, and the library management of public libraries is also deeply affected. In the era of big data, how to use advanced technology to innovate the management of public libraries, improve the quality and efficiency of services, and meet the growing information needs of the public is an urgent problem to be solved. This paper mainly analyses the relevant content of library management innovation in public libraries in the era of big data. The study used a questionnaire to investigate the acceptance of teachers and students of the new improved library service system. The reliability of the questionnaire was above 0.7, and the results showed that students' overall evaluation of the library management system was high, with scores above 5.
Effective financial decision-making is crucial for organizational growth, yet it is often impeded by limitations in information availability and subjective biases. While traditional computer-based financial decision s...
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Aiming at the current problem of lack of effective data and high service latency for intrusion detection in smart substations, this paper proposes a lightweight intrusion detection method for smart substations. Throug...
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Single-phase broken faults occur frequently, affecting the reliability of distribution network. In order to effectively identify the fault type of single-phase broken fault, this paper proposes a new identification me...
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Single-phase broken faults occur frequently, affecting the reliability of distribution network. In order to effectively identify the fault type of single-phase broken fault, this paper proposes a new identification method, which is based on the combination of variational mode decomposition and stacked auto encoder with double optimization (AO-VMD-PSO-SAE). Firstly, the zero sequence voltage, which collected in line, is decomposed into a set of variational modal components. Nextly, the stack automatic encoder is used to conduct unsupervised training on the denoised data to establish a depth learning model, and the AO optimization algorithm and the PSO optimization algorithm are used to determine the super parameters in the model. Finally, simulation results supported and the validity of the method was verified. What the results show is that the proposed model named AO-VMD-PSO-SAE can accurately predict the types of single-phase broken fault under noise interference. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 2022 The 3rdinternationalconference on Power engineering, ICPE, 2022.
This paper introduces a university personnel information management system based on service-oriented architecture access mode and cloud storage technology. Through the construction of the system architecture and datab...
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This article presents a power divider suitable for realizing a SWIPT (Simultaneous Wireless Information and Power Transfer) system, based on power splitting architecture. A power divider which can provide tunable powe...
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Well Sphere Fight against lifestyle undiagnosed diseases, diabetes, heart disease, Parkinson's disease, etc., by integrating Streamlit technology and advanced Machine learning algorithms to provide patient populat...
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