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Research and Implementation of Complex Real-Time Computing based on data Middle Platform 3

Research and Implementation of Complex Real-Time Computing b...

引用

3rd international conference on Electronic Information Engineering and Computer Communication, EIECC 2023

作者： Wang, Peng Li, Jiajin Xuan, Baolong Lu, Wei Zhang, Xian Hu, Jian Yan, Hailang China Realtime Database Co Ltd. Nanjing China

ISBN: (纸本)9798350359961

With the development of big data, the need for realtime data processing becomes more urgent. However, the complexity of the big data business causes the current data components to not be well supported. For this reason, a complex real-Time calculation method based on data center is proposed. Build incremental dimension tables and incremental fact tables based on the original micro-batch scheduling, and analyze the impact of business incremental data changes on statistical results. And through the analysis of business operations, simplify the data processing process, reduce the data Merge operation, and reduce the data processing time. Finally, the feasibility, correctness and real-Time nature of the method are verified through the application of real-Time calculation of electricity bills. © 2023 IEEE.

关键词： data middle platform real-Time computing stream batch integration

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Research on High-bandwidth ROF Optical Transceiver Module Based on Adaptive Push-Pull Structure 19

Research on High-bandwidth ROF Optical Transceiver Module Ba...

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3rd international conference on High Performance Compilation, Computing and Communications (HP3C)

作者： Xu Qian-Kun Yi, Zhang Cheng Army Armor Armored Forces Weaponry & Control Beijing 100072 Peoples R China Capital Normal Univ Coll Educ Beijing 100048 Peoples R China

ISBN: (纸本)9781450366380

Aiming at the nonlinear distortion problem of ROF, the common parameters for evaluating ROF linearity and the nonlinear distortion components commonly used in ROF links are analyzed by theoretical derivation and ROF link characteristics. A push-pull structure combined with adaptive compensation algorithm is proposed. The method was verified by simulation. For the tested two-tone signal, the simulation results show that the method can eliminate the IMD2, HD2, IMD3 and XMD distortion components at the same time.

关键词： optical-borne wireless communication linearization digital signal processing push-pull structure

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A Fault Warning Model Based on Big data Cluster Technology 3

A Fault Warning Model Based on Big Data Cluster Technology

引用

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

作者： Wang, Biao Zhang, Yuxi Yan, Qi Zhang, Wen Wang, Xuecai Ren, Xuechao North Automatic Control Technology Institute Taiyuan030006 China

ISBN: (纸本)9798350341546

This article proposes a sector model early warning method based on ELM theory, with the background of big data processing cluster technology. A fault early warning model is established using naive Bayesian algorithm combined with time series similarity fault matching. The model adopts collected data such as relevant electrical quantities, switching values, event sequence information, power grid topology, and data obtained from fault recording devices during line faults. The naive Bayesian algorithm is used to mine the occurrence index of potential fault occurrence factors (i.e. fault factors), and then combined with time series similarity fault matching to perform fault warning on the line. © 2023 IEEE.

关键词： Big data processing Cluster technology Elm theory Fault warning

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Design of Crawler and Visual Interactive Interface Based on Scrapy Framework 3

Design of Crawler and Visual Interactive Interface Based on ...

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

作者： Gao, Lili Meng, Qi Shandong Agriculture and Engineering University Department of Information Science and Engineering Jinan China

ISBN: (纸本)9798350398410

Nowadays, when studying and analyzing problems, the previous conventional analysis methods are obviously difficult to meet our needs in such a huge data scale environment. At the same time, the emergence of web crawlers solves the problem of data acquisition under big data. This paper completes a series of tasks such as data acquisition, download and storage in the designated website by studying the scrapy framework. At the same time, through the research of pyecharts library, JSON library and other visualization related technologies, we can realize the visual processing and display of the crawling data of the scrapy framework, so as to realize the more intuitive analysis of the data. © 2023 IEEE.

关键词： data acquisition

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The application of signal processing to the identification and diagnosis of radar system

The application of signal processing to the identification a...

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3rd international conference on signal processing (ICSP 96)

作者： Hu, J You, CX First Aeronautic Institute of Air force Henan China

ISBN: (纸本)7505338900

The system identification is very useful For testing the inherent characteristics of radar systems and their subsystems. This paper discusses the application of signal processing to the identification and diagnosis of radar system. By using m sequence and correlation processing for the measured data with the established file, alize fault diagnosis.

关键词： radar signal processing radar applications fault diagnosis correlation methods identification testing sequences signal processing radar subsystems radar system identification radar system diagnosis system characteristics testing m sequence correlation processing measured data file fault diagnosis experiments

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Time-frequency hybrid suppression method for discrete spectral interference in partial discharge signal 3

Time-frequency hybrid suppression method for discrete spectr...

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3rd international conference on Intelligent Control, Measurement and signal processing and Intelligent Oil Field, ICMSP 2021

作者： Luo, Yuanlin Zheng, Bo Wu, Yuechao Lu, Jiong Power China Huadong Engineering Corporation Limited Hangzhou China College of Electrical Engineering Zhejiang University Hangzhou China

ISBN: (纸本)9781665437158

To solve the serious waveform distortion and high computational complexity of existing methods for discrete spectral interference (DSI) suppression in partial discharge (PD), this paper presents a time-frequency hybrid method based on mathematical morphology filter (MMF) and spectrum correction. The method includes DSI frequencies identification in frequency domain and DSI waveforms reconstruction in time domain. Firstly, logarithmic amplitude spectrum (LAS) of noisy signal is filtered by a MMF, which then be subtracted from original LAS;secondly, the number and coarse frequency values of DSI are identified by adopting the classical threshold criterion from subtracted LAS;thirdly, the spectrum correction method is introduced to estimate the accurate frequency, amplitude and phase of aforementioned DSI, which then can be used to reconstruct DSI waveforms;at last, the DSI is subtracted from the noisy signal to achieve the goal of DSI suppression. Simulation data show that, compared to optimal harmonic wavelet packet transform based method and blind source separation based methods, the proposed method is full-automatic, and it possesses a high interference suppression performance and a high waveform fidelity, thus it is suit for PD online measurement. © 2021 IEEE.

关键词： Partial discharges

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signal processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients 48

Signal Processing Grand Challenge 2023 - E-Prevention: Sleep...

引用

48th IEEE international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Avramidis, Kleanthis Adsul, Kranti Bose, Digbalay Narayanan, Shrikanth University of Southern California Signal Analysis and Interpretation Lab Los AngelesCA90089 United States

ISBN: (纸本)9781728163277

This paper presents the approach and results of USC SAIL's submission to the signal processing Grand Challenge 2023 - e-Prevention (Task 2), on detecting relapses in psychotic patients. Relapse prediction has proven to be challenging, primarily due to the heterogeneity of symptoms and responses to treatment between individuals. We address these challenges by investigating the use of sleep behavior features to estimate relapse days as outliers in an unsupervised machine learning setting. We extract informative features from human activity and heart rate data collected in the wild, and evaluate various combinations of feature types and time resolutions. We found that short-time sleep behavior features outperformed their awake counterparts and larger time intervals. Our submission was ranked 3rd in the Task's official leaderboard, demonstrating the potential of such features as an objective and non-invasive predictor of psychotic relapses. © 2023 IEEE.

关键词： Anomaly Detection Biosignals Psychotic Relapses Sleep Behavior Unsupervised Learning

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The Research on Server signal Light Image Recognition Algorithm Based on SPD_YOLOV5 3

The Research on Server Signal Light Image Recognition Algori...

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

作者： Zhong, Li Weifang, Zhang Yu, Su Ningning, Kang Digital Work Department Ziyang641300 China

ISBN: (纸本)9798350341546

For the detection of server signal lights in data centers, challenges arise due to the small size of the lights and various factors such as visual quality, diversity, occlusion, and interference, which can affect the accuracy of signal light detection. Therefore, this paper proposes an improved approach for object detection based on YOLOv5 to enhance the accuracy of signal light detection. The proposed method includes the addition of a small object prediction layer on top of the original network and the utilization of SPDConv as a novel CNN building block, which effectively extracts features from low-resolution images and small objects. Furthermore, the loss function is optimized by replacing CIoU with SIoU, reducing degrees of freedom and improving the robustness of the network. Experimental results demonstrate significant performance improvements in the detection and recognition of server signal lights achieved by the improved YOLOv5 approach. © 2023 IEEE.

关键词： convolutional blocks loss functions Object detection semaphores yolov5

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A Novel Algorithm for High-Concurrency Digital Sampling Conversion Towards 6G Networks 3

A Novel Algorithm for High-Concurrency Digital Sampling Conv...

引用

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

作者： Kang, Jiabao Liu, Xinru Zhang, Shubo Feng, Ping Yang, Tingting Dalian Maritime University Dalian China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9798350357707

The popularity of software defined radio (SDR) compels the implementation of intricate digital signal processing algorithms on field-programmable gate arrays (FPGA). Traditional digital sampling conversion is a fundamental technique in SDR, frequently employed for processing digital intermediate frequency (IF) signals. With the advent and advancement of 6G networks, higher demands have been placed on signal bandwidth. The existing digital sampling conversion algorithms are incapable of meeting the practical requirements of signals with high bandwidth. This paper presents a digital sampling conversion algorithm tailored to the vision of 6G networks, and a comprehensive solution for high-concurrency digital sampling conversion is proposed. Through the implementation of a cascaded filter structure and its validation via mathematical modeling, it becomes evident that substantial reductions in system power consumption can be attained. Experimental results demonstrate that the proposed optimized algorithm in this paper holds significant application value, is easily implementable, and fulfills the requirements of high bandwidth communication in 6G scenarios. © 2023 IEEE.

关键词： Digital signal processing

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New approach of processing for ultra wide band one stationary bistatic SAR system

New approach of processing for ultra wide band one stationar...

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2011 3rd international Asia-Pacific conference on Synthetic Aperture Radar, APSAR 2011

作者： Kim, Dong Hyun Kim, Tae Hwa Choi, Wook Hyun Seon, Seon Gu Ha, Jong Soo Han, Seung Hoon Ground System Division Satrec Initiative Co. Dae Jeon Korea Republic of 4th R and D Institute-1 Agency for Defense Development Samsung Thales Co. Ltd. Korea Republic of

ISBN: (纸本)9788993246179

The system that this paper deals about is one stationary bistatic SAR using ultra wide band chirp pulse. Because of the large bandwidth, the echo signal is mixed with the transmitted signal. Then the mixed signal is saved as a raw data. The system has an intrinsic difficulty in processing the raw data due to the long pulse bandwidth. So, it is very complicated to process the data in Doppler domain. This paper proposes an alternative way of processing the data acquired by this kind of SAR system. © 2011 KIEES.

关键词： data handling

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