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

共 2951 条记录，以下是191-200 订阅

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Real-Time Synchronized Positioning and Dense Map Construction from Feature-Based ORB-SLAM3 3

Real-Time Synchronized Positioning and Dense Map Constructio...

引用

3rd international conference on Artificial Intelligence and Computer Information Technology, AICIT 2024

作者： Ye, Weijia He, Ning Liu, Yong Yuan, XiaoZhongLing Wu, Lie Yang Tan, Jing He, Donglin R and D Center The Second Research Institute of CAAC Chengdu China Civil Aviation Chengdu Electronic Technology Co. Ltd Chengdu China Jiangxi Traffic Monitoring Command Center Nanchang China

ISBN: (纸本)9798350365443

With the development of SLAM technology, many excellent SLAM algorithms have emerged, categorized into visual and laser SLAM, among others, based on the application scenario. This paper adopts the ORB-SLAM3 algorithm framework from visual SLAM. It optimizes the sparse point cloud data output by this algorithm, integrating reconstruction algorithms to ultimately produce visualized 3D dense point cloud data. The implementation primarily utilizes ORB-SLAM3's RGB-D mode. The semantic maps generated from further processing of this data can be applied in the field of augmented reality. © 2024 IEEE.

关键词： SLAM robotics

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signal processing Units for BPMs of VEPP-2000 and VEPP-4M Colliders 3

Signal Processing Units for BPMs of VEPP-2000 and VEPP-4M Co...

引用

3rd IEEE international conference on Problems of Informatics, Electronics and Radio Engineering, PIERE 2024

作者： Grebnev, Matthew Karpov, Gennadiy Nstu Faculty of Physics and Technology Novosibirsk Russia Budker Institute of Nuclear Physics Sb Ras Novosibirsk Russia

ISBN: (纸本)9798331516321

The VEPP-4M and VEPP-2000 charged particle accelerators are designed for conducting experiments with electron-positron beams, synchrotron radiation beams and collecting statistical data for the fundamental field of physics. The correct operation of accelerators largely depends on the correct trajectory of the charged particles - the orbit of the beams. To do this, a coordinate measurement system for charged clusters and diagnostic units for processing signals from these monitors are used. The new diagnostic units will significantly expand the measurement capabilities. First, the beam current range will increase. Secondly, it will be possible to determine the necessary separatrix in one turn. Thirdly, it will be possible to calculate the coordinates of the electron and positron beams simultaneously. Fourth, the versatility of the installation will allow using the developed configuration both on the VEPP-4M accelerator and on VEPP-2000. The configuration of a universal diagnostic unit for two accelerators is described, the limits of measurement accuracy, waveforms and results obtained during experiments on accelerators are given. © 2024 IEEE.

关键词： Positrons

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Research on the Characteristics of Battery Safety Early Warning Based on Big data of NEVs Operation 3

Research on the Characteristics of Battery Safety Early Warn...

引用

3rd IEEE international conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Zhang, Peng Jia, Guorui Li, Bingyang Chen, Chuan Cheng, Ming China Automotive Technology Research Center Co. Ltd Tianjin China

ISBN: (纸本)9798350398410

The causes of new energy vehicle safety accidents are complex and diverse, and only from the surface of new energy vehicle safety monitoring data is not enough to deeply explore the failure mechanism of power battery safety accidents, and it is necessary to extract characteristic parameters with certain physical significance from the operation big data to conduct power battery data feature engineering research. This paper combines the actual engineering practice, summarizes and summarizes the problems and processing mechanisms for different data, digs deep into the use characteristics, abnormal laws, failure mechanisms, etc. of the power battery, summarizes the feature selection method of the current power battery characteristic parameters, and provides an important reference for the research of power battery safety early warning. © 2023 IEEE.

关键词： Big data

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An NTRU-based Homomorphic Encrypted data Analysis System 3

An NTRU-based Homomorphic Encrypted Data Analysis System

引用

3rd IEEE international conference on Information Technology, Big data and Artificial Intelligence, ICIBA 2023

作者： Men, Kaixuan Li, Huapeng Wang, Baocheng Liu, Mingrui North China University of Technology School of Information Beijing China

ISBN: (纸本)9781665490788

In the current data processing systems, there exist widespread threats to the privacy of data providers. To solve the problems in privacy protection in data processing, this paper proposes a homomorphic encryption data analysis system-MeSec, which is based on NTRU cryptosystem. Firstly, MeSec constructs a new type of password-based authorized key exchange protocol (PAKE). Secondly, MeSec adopts a more efficient NTRU-based homomorphic encryption system. And respectively designs a federated learning scheme for encrypted distributed training models and a privacy machine learning prediction scheme whit the encrypted private data as inputs;finally, an effective multiuser agent NTRU-based re-encryption module is designed to realize safe and convenient data intercommunication and sharing between users, which completely breaks the barriers of data islands. This system can be widely used in various fields for data sharing, analysis, and processing. © 2023 IEEE.

关键词： Learning systems

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Partial Discharge signal Denoising Analysis Using Wavelet Transformation with Singular Value Decomposition Method 3

Partial Discharge Signal Denoising Analysis Using Wavelet Tr...

引用

3rd IEEE international conference on Intelligent Technologies, CONIT 2023

作者： Sri, Kanaparti Bhavya Chandrasekaran, Kandasamy Raipur492010 India

ISBN: (纸本)9798350338607

In high voltage power equipment, insulator role is important for reliability of the power system. Partial discharge (PD) analysis will help to determine the condition of insulator. However, in field due to interferences, it is difficult to detect PD signal without disturbances. PD signal with interferences may lead to misperceive of insulator condition. In this paper, a PD signal denoising method is proposed and its effectiveness are analyzed. The ability of discrete wavelet transformation (DWT) adopt to time localized and inhomogeneous signal has led to its recognition as an effective tool for PD processing. Discrete wavelet packet transform (DWPT) is variation of DWT, which gives more detailed analysis of signal. Singular value decomposition (SVD) is an algorithm that separates the singular values of the periodic narrowband interference (PNI) in PD signal and remove it. In this article, SVD with DWT and SVD with DWPT methods are proposed and applied to denoise the simulated and practical PD signals consisting of white noise interference (WNI) and PNI. The effectiveness of the methods used are determined by statistical analysis such as signal to noise ratio, root mean square, normalized correlation coefficient. From the results of the analysis, it is observed that, for denoising the PD containing WNI, DWPT method is effective, on the other hand to denoise the PD signal with both WNI and PNI, SVD with DWT is an effective method. © 2023 IEEE.

关键词： Partial discharges

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A Survey of data Science for Small and Medium-Sized Enterprises (SMEs) 3

A Survey of Data Science for Small and Medium-Sized Enterpri...

引用

3rd international conference on Digital data processing, DDP 2023

作者： Dechaprakrom, Kamoltip Ketmaneechairat, Hathairat Pibulsongkram Rajabhat University Faculty of Management Science Phitsanulok Thailand Information and Production Technology Management King Mongkut's University of Technology North Bangkok Faculty of College of Industrial Technology Bangkok Thailand

ISBN: (纸本)9798350329018

This paper presents a comprehensive survey on the challenges and opportunities of implementing data science in small and medium-sized enterprises (SMEs) to enhance their decision-making processes. data science has the potential to empower SMEs by enabling them to make well-informed, data-driven decisions. The paper focuses on exploring the relationship of data science in SMEs, outlining data science methodologies applicable to SMEs, and highlighting the advantages that data science can bring to these enterprises. As SMEs increasingly recognize the importance of data science, its potential to maximize efficiency, reduce costs, and gain a competitive edge becomes evident. In conclusion, this paper emphasizes the growing necessity for SMEs to incorporate data science into their business strategies to foster growth. © 2023 IEEE.

关键词： Decision making

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Research on Method of Eliminating Spectral Background signal of Water Quality Monitoring Based on Dynamic Reference 3

Research on Method of Eliminating Spectral Background Signal...

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3rd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2023

作者： Kanglin, Wei Chengsong, Li Fengping, Sun Shangqian, Zhang Yibin University Intelligent Manufacturing Institute Yibin China

ISBN: (纸本)9781665472784

In view of the dynamic effects on spectrum measurement's background signal of water quality monitoring caused by the absorption of turbidity, chroma and a variety of unknown materials, according to Beer-Lambert Law. the relationship between solvent and solute has been analyzed;and combining with the on-line water quality monitoring principle based on spectral analysis, the concept of "dynamic reference"has been put forward. Meanwhile, a method based on the "dynamic reference"to eliminate the background interference of spectrum measurement signal has been proposed too, Applying the above signal processing method to the self-developed water quality monitoring instrument. the field contrast experiment with the national standard analysis methods for on-line measuring the hexavalent chromium in the same actual environmental water sample has been carried out;and the accuracy of measuring results by "dynamic reference"are better than that by "static reference". Moreover, the accuracy also meets the superior to the national environmental protection standard (the relative error of contrast experiment to actual water sample A≤10%). The experiment results show that the proposed signal processing method can dynamically eliminate the background spectrum influence caused by water matrix interference, so as to ensure the accuracy of spectral measurement signals and improve the accuracy of on-line water quality monitoring instrument. © 2023 IEEE.

关键词： Spectrum analysis

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Overview of Bearing Fault Diagnosis Based on Vibration signal 3

Overview of Bearing Fault Diagnosis Based on Vibration Signa...

引用

3rd IEEE international conference on Electronic Communications, Internet of Things and Big data, ICEIB 2023

作者： Liang, Yue-Li Chien, Wei Yuan, Shu-Fang Beibu Gulf University Qinzhou China

ISBN: (纸本)9798350333862

Bearings are a key component but are prone to failure in the operation of mechanical equipment. In this study, the classic algorithms for bearing fault diagnosis are classified from the aspects of data preprocessing, and the main principles, characteristics, and applications of various algorithms are discussed. We compare the two fault diagnosis methods based on wavelet threshold noise reduction and the classical method to analyze the accuracy of each algorithm and verify the effectiveness of the algorithm. In the application of bearing fault diagnosis, the deficiencies under the current situation are analyzed and discussed, and the future development direction is proposed. © 2023 IEEE.

关键词： Failure analysis

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Application of Steady State data Compressed Sensing Based on LSTM and RNN in Rural Power Grid 3

Application of Steady State Data Compressed Sensing Based on...

引用

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

作者： Huang, Biyao Pan, Yuqing Wang, Zhiliang State Grid Smart Grid Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798350303698

With the advancement of intelligent power systems and the upgrading of rural power grids, steady-state signal compression technology for rural power grids has been widely applied. The use of neural network models for encoding and compressing steady-state signals in rural power grids is currently a commonly used data compression method. This article analyzes data compression methods based on LSTM and RNN models, and compares their compression effects. The results show that RNN based models can better achieve data compression while maintaining high data accuracy. © 2023 IEEE.

关键词： Long short-term memory

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Anomaly detection method of power purchase material data based on BIRCH clustering algorithm and time series 3

Anomaly detection method of power purchase material data bas...

引用

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

作者： Guo, Ning Wang, Pengju China Energy Engineering Group Gansu Electric Power Design Institute Co. LTD Lanzhou Gansu730050 China

ISBN: (纸本)9781510668522

At present, the conventional detection methods for abnormal data of power purchase materials mainly use correlation vector machines to extract and reduce the dimensions of data features. Due to less dimensions of data feature extraction, the detection effect is poor. In this regard, a method based on BIRCH clustering algorithm and time series for anomaly detection of power purchase material data is proposed. The data is preprocessed by removing outliers and supplementing missing values, and a time series autoregression model is constructed according to data dimensions to extract the flow characteristics of material data. The determination of abnormal data is realized by using local density threshold. In the experiment, the detection performance of the designed detection method is tested. The final results can prove that the proposed method has a low false detection rate and an ideal detection effect when it is used for abnormal detection of power purchase material data. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Clustering algorithms

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