This paper designs and develops a set of portable comprehensive detection system based on virtual instrument technology. The detection system consists of laptop computer, engine parameter recorder, dynamic test data a...
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The great explosion of dataprocessing and the reliance on information technology are results from the widespread of computers. This results in the need for huge memory for data storing and fast transmission rate. Thu...
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Magnetic flux leakage (MFL) nondestructive testing technology uses magnetic sensors to detect the magnetic signal on the surface of seamless steel tube. In this process, the magnetic sensors are used to detect the flu...
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To promote the energy-saving transformation of industrial enterprises effectively, it is important to accurately grasp the energy consumption behavior of enterprises. In this study, the multi-type industrial enterpris...
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To promote the energy-saving transformation of industrial enterprises effectively, it is important to accurately grasp the energy consumption behavior of enterprises. In this study, the multi-type industrial enterprises in an industrial park located in Shanghai are selected for analysis. Based on the collection and processing of the measured heating (steam) data, by employing the big data analysis method, the cluster analysis is carried out from different dimensions including user difference, load fluctuation and typical daily characteristics. Following which, the multi-type load characteristic curve is obtained, and the energy consumption characteristics of the whole industrial park and different types of industrial enterprises are discussed. On this basis, the energy load forecasting model of industrial enterprises is developed based on the LSTM neural network, and the effect of introducing meteorological data on the accuracy of load forecasting is analyzed. (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/).
Photoplethysmography (PPG), commonly integrated into wearable devices, is widely utilized for detecting human activities and various physiological parameters. This study focuses on employing a feature-oriented and pri...
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High-voltage(HV) voltage transformers(VT) are widely used in the power industry, and their accuracy is directly related to the interests of power users and power grid-related enterprises. Therefore, it is of great sig...
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High-finesse optical enhancement cavities (OECs) are powerful and versatile tools for various scientific investigations and measurements. They offer superior optical performance and have been widely researched and uti...
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As the key work in the field of remote sensing, radiometric calibration can improve the accuracy of sensor measurement data to a certain extent. As a necessary condition for remote sensing work, the accuracy and quali...
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The proceedings contain 128 papers. The topics discussed include: brain tumor segmentation using deep learning techniques: comparative analysis;imperceptibility and robustness study in different transform domain for c...
ISBN:
(纸本)9798350320749
The proceedings contain 128 papers. The topics discussed include: brain tumor segmentation using deep learning techniques: comparative analysis;imperceptibility and robustness study in different transform domain for copyright protection in digital image watermarking in hybrid SVD-domain;optimized detection of continuous gravitational-wave signals using convolutional neural network;automated method for calibration findings of auto slide scanner using automated digital microscopy;implementation of perovskite solar cells using GPVDM;mangoes taste detection system using deep learning;bird species recognition using deep learning;optimization of power and delay in VLSI circuits using hybrid flip-flop circuit;ellipse shaped graphene metamaterial absorber for terahertz applications;design and development of a microgripper for use in pipeline inspection robot;and screening of citrus diseases using deep learning embedders and machine learning techniques.
This paper studies a multi-source dataprocessing method for low-voltage distribution network, which involves the field of electrical engineering science and technology, including the following steps: step (a): Collec...
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