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检索条件"任意字段=3rd International Conference on Signal and Data Processing, ICSDP 2023"

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Price prediction model for different types of sailboats based on XGBoost algorithm 3

Price prediction model for different types of sailboats base...

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2023 IEEE 3rd international conference on data Science and Computer Application, ICDSCA 2023

作者： Wei, Zixuan Ren, Haodong Bao, Honghao Lu, Yi Qu, Bo'An Beijing University of Chemical Technology School of Economics and Management Beijing China Beijing University of Chemical Technology School of International Education Beijing China Beijing University of Chemical Technology School of Information Science and Technology Beijing China Beijing University of Chemical Technology School of Electrical and Mechanical Engineering Beijing China

ISBN: (纸本)9798350341546

Sailboats are a popular type of luxury goods whose values vary depending on a range of factors, such as their age, condition, and market conditions. Further, monohull and catamaran sailboats are two types of sailboats. The characteristics of these two types of sailboats are often different. Due to their more features, the process of predicting their prices is more complicated. For this reason, this paper builds a full-flow model based on XGBoost from data pre-processing to data prediction in order to predict sailboat prices in a comprehensive and integrated way. Experiments show that the model designed in this paper has the best MSE for both single and twin boats in the comparison algorithm. And the accuracy gap is the smallest and the robustness is the best when predicting for single and double boats. © 2023 IEEE.

关键词： Catamarans Monohulled Sailboats MSE Sailboat XGBoost

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Power data Operation Effectiveness Analysis Based on Multi-dimensional Analysis 3

Power Data Operation Effectiveness Analysis Based on Multi-d...

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3rd international conference on Consumer Electronics and Computer Engineering, ICCECE 2023

作者： Deng, Zhidong Li, Yanyan Xing, Wei Zhang, Mingjie Gong, Jian State Grid Customer Service Center Tianjin300300 China

ISBN: (纸本)9798350331578

To reduce the absolute error of the effectiveness of power data operation analysis, build a more stable and multivariate analysis structure, and maximize the reliability of the overall analysis results, a new power data operation effectiveness analysis method based on multi-dimensional analysis is designed. Set up nodes and collect data. Design equivalent analysis links according to the amount of data, adopt the multi-dimensional analysis method, construct multi-dimensional data operation effectiveness analysis sovereignty model, and combine with directional processing mechanism to realize the power data operation effectiveness analysis. The test results show that compared with the traditional multi-mechanism data operation effectiveness analysis test group and the traditional data sovereignty operation effectiveness analysis test group, the absolute error of the effectiveness analysis of the multi-dimension analysis method is smaller, and the error value is only 1. This analysis method is more reliable and accurate in dealing with data operation and has practical application value. © 2023 IEEE.

关键词： Multivariant analysis

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Wavelet transform of vibration signal of CNC machine tool based on python 3

Wavelet transform of vibration signal of CNC machine tool ba...

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3rd international conference on Advanced Algorithms and signal Image processing, AASIP 2023

作者： Guo, Sihan Li, Mu Wang, Xinwei School of Mechanical Engineering Shenyang Ligong University Shenyang110159 China

ISBN: (纸本)9781510668522

In this paper,wavelet transform of vibration signal of CNC machine tool is performed based on Python programming *** transform function in PyWavelets library,the signal is decomposed into sub-signals of different *** experimental results show that the vibration signal of CNC machine tool has multiple frequency components,and the noise reduction effect is obvious after wavelet transform of the By implementing wavelet analysis method,EMD[1],and EEMD through Python programming,the three feature extraction methods are compared,and it is concluded that wavelet transform can be more convenient for signal processing and analysis,and the analysis method and parameters Therefore,the wavelet analysis method of vibration signal of CNC machine tool based Therefore,the wavelet analysis method of vibration signal of CNC machine tool based on Python has high practicality and scalability,which can provide important support for the optimization design and machining accuracy improvement of machine tools. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Python

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data Acquisition and Pre-processing of EEG signals Using Brainwave Sensor

Data Acquisition and Pre-processing of EEG Signals Using Bra...

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3rd international conference on signal and data processing, icsdp 2023

作者： Negi, Anju Apeksha, S. Bharath, C.H. Uzair, Mohamed PES University 100 ft Ring Road Banashankari Stage III Dwaraka Nagar Banashankari Karnataka Bengaluru560085 India

ISBN: (纸本)9789819795772

Many brain disorders are very critical and need to be detected at an early stage. This demands the need to create a reliable low-cost, portable system that can acquire the signals and then process and analyze that data. Through this project, the authors aim to address this problem by creating a pre-processing system for an EEG data acquisition system which acquires EEG signals then processes the data to remove noise, and analyze the signal to provide valuable insights. The device is built with several high-pass, low-pass, and notch filters to condition the signal and instrumentation amplifiers for further amplification. An overall amplification of 90× in the first stage and 450× in the last stage is achieved. With the hardware in place, work has been done to integrate the data acquisition system with RLS adaptive filtering algorithms to further enhance the EEG signals by removing EOG artifacts. Later, the signal is analyzed using wavelet transformation and separated into different band frequencies. The proposed post processing system is set to analyze the acquired data for critical brain disorders like depression detection and autism severity indication by using novel approaches. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Wavelet decomposition

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2023 3rd international conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

2023 3rd International Conference on Electrical Engineering ...

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3rd international conference on Electrical Engineering and Mechatronics Technology, ICEEMT 2023

ISBN: (纸本)9798350303698

The proceedings contain 172 papers. The topics discussed include: a novel distributed generation injection signal line fault detection technology;capacity estimation of lithium-ion batteries based on transformer model;park oriented energy event linkage management strategy;research on optimal scheduling of multi-source power system with complementary hydro and photovoltaic generation;integrated monitoring technology for tension and inclination of overhead transmission lines based on fiber Bragg grating;research on obstacle avoidance of a 7-DOF manipulator;insulator defect detection based on deep learning;stator modal analysis of permanent magnet motors for electric vehicles;study on fast stability of new power system based on the method of gradient dynamic deviation and PMU data;research on ADRC based on speed loop control of permanent magnet synchronous motor;and optimization design of flat wire permanent magnet synchronous motor for electric vehicles.

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Social networks as a data source for real-Time emergencies detection 3

Social networks as a data source for real-Time emergencies d...

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3rd international conference on Optics, Computer Applications, and Materials Science, CMSD 2023

作者： Bekeneva, Ya. A. Lopushanskiy, A.M. Saint Petersburg Electrotechnical University LETI 5 ul. Professora Popova 197022 Russia

ISBN: (纸本)9781510674486

The article explores ways to geocode events and extract information about the location where the specified event occurred. A tool has been developed that allows you to extract information such as addresses and intersections from text messages, create datasets and perform geolocation for both historical datasets and streaming data. Social networks were used as data sources, where the user can select a range of communities to search for information. The entire process of searching for messages, processing texts and placing geotags on the map is fully automated. © 2024 SPIE. All rights reserved.

关键词： Social networking (online)

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Analyzing the Multifaceted Interactions of Modern Digital Dreamscapes and Deep data Insights 3

Analyzing the Multifaceted Interactions of Modern Digital Dr...

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3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Mothilal, T. Balaji, V. Natrayan, L. Yamsani, Nagendar Kcg College of Technology Department of Automobile Engineering Karapakkam TN Chennai India Loyola Institute of Technology Department of Mechanical Engineering TN Chennai India Saveetha School of Engineering Simats Department of Mechanical Engineering TN Chennai India School of Computer Science & Artificial Intelligence Sr University Telangana Warangal India

ISBN: (纸本)9798350343274

Through a methodologically exhaustive approach, this study investigates the complex relationships between contemporary digital dreamscapes and deep data insights. Natural Language processing (NLP), Social Network Analysis (SNA), Machine Learning Algorithms (MLA), data Mining (DM), Topic Modeling (TM), and Sentiment Analysis (SA) are among the six original methods compared to the proposed method, which combines ethnographic research with cutting-edge data analysis techniques. To emphasize the relative performance and ethical implications of the methodologies, four different visualizations are offered, including a bar chart, scatter plot, pie chart, and box plot. According to the results, the suggested technique is superior to the conventional ones in many respects, including accuracy, precision, recall, F1-Score, processing time, privacy, data security, ethics, cultural sensitivity, scalability, and adaptability. Considering these findings, an interdisciplinary approach is necessary for evaluating digital dreamscapes, one that takes into consideration cultural, ethical, and data-driven factors. © 2023 IEEE.

关键词： Scalability

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DACNet: Single Image Dehazing Network Based on Attention Mechanism 3

DACNet: Single Image Dehazing Network Based on Attention Mec...

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3rd international conference on Intelligent Communications and Computing, ICC 2023

作者： Liu, Yongling Han, Ping Wang, Wanwei Civil Aviation University of China Tianjin Key Lab for Advanced Signal Processing Tianjin China

ISBN: (纸本)9798350308327

Aiming at the problem that atmospheric scattering model-based haze removal methods are prone to degradation of haze removal performance due to inaccurate parameter estimation, a single-image haze removal network based on the attention mechanism is proposed for direct restoration of haze-free images. The network consists of encoder and decoder, where the traditional convolution is replaced by combining dilated convolutions with different dilated rates for acquiring and processing haze-related image features. Due to the different weighted information contained in different channel features, an increased attention mechanism is used to enhance the feature representation of important channels through adaptive learning channel features, thereby enabling the encoder to pay more attention to channel information in the haze region. In the encoding and decoding structure, dilated convolution and attention mechanism are used in combination for image dehazing for the first time. By targeting the network to pay attention to the regions with high fog distribution while increasing the sensory field to obtain global information. The method presented in this paper improves the ability of network to process hazy images and brings a new breakthrough in the field of hazy image processing. Experiments show that the algorithm proposed in this paper achieves significant improvements in both subjective and objective indicators comparing with many state-of-the-art methods. © 2023 IEEE.

关键词： Image enhancement

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Application of data Mining Technology in the Construction of Cultural Confidence System 3

Application of Data Mining Technology in the Construction of...

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3rd international conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023

作者： Xu, Lili Xi'an Fanyi University Shaanxi Province Xi'an710068 China

ISBN: (纸本)9798350319125

Red culture is the precious spiritual wealth left by China's revolutionary predecessors and one of the sources of strength to promote social progress and development. Therefore, building cultural self-confidence plays an important role in the dissemination and promotion of advanced culture by contemporary people. Therefore, this paper proposes a data mining technique to evaluate and analyze the innovative cultural confidence system. With the rapid development of information technology and explosive growth of data scale, the era of big data has arrived. In this era, data has become an important resource and plays a vital role in the development of all walks of life. Among them, data mining technology, as one of the core technologies of big data processing, has attracted wide attention and application © 2023 IEEE.

关键词： cultural assertiveness data mining red culture Values

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Orthogonal Representation Approach to DOA Estimation of Wideband signals 3

Orthogonal Representation Approach to DOA Estimation of Wide...

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3rd international conference on Electronic Information Engineering and Computer Science, EIECS 2023

作者： Liang, Yi Xu, Yougen Huang, Yulin Beijing Institute of Technology School of Integrated Circuits and Electronics Beijing China

ISBN: (纸本)9798350316674

This paper presents a new framework in the time domain for direction-of-arrival (DOA) estimation of multiple wideband signals. The new framework achieves additive rank-1 of signals from different directions through orthogonal representation technique, where the unified autocorrelation function (UAF) of the signal is introduced into the steering vector. Based on this framework, two methods named orthogonal representation minimum power (OR-MP) and orthogonal representation orthogonal projection (OR-OP) are proposed, incorporated with the rank-1 minimum power beamforming and the effective subspace projection techniques. Both methods require no sub-band decomposition/association and data focusing. The efficacy of the proposed methods is validated by computer simulations. © 2023 IEEE.

关键词： beamforming direction-of-arrival estimation orthogonal representations subspace projection wideband signal

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