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Data Processing Solutions on Low Signal-to-noise Data in Loess Plateau Area:A Case Study in Ordos Basin,China 认领 引用
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作者 GAO Rongtao CHENG Yun +1 位作者 TANG Ziqi LIU Zhao 《CT理论与应用研究（中英文）》 2026年第1期154-162,共9页
While the Ordos Basin is recognized for its substantial hydrocarbon exploration prospects,its rugged loess tableland terrain has rendered seismic exploration exceptionally challenging[1-3].Persistent obstacles such as... While the Ordos Basin is recognized for its substantial hydrocarbon exploration prospects,its rugged loess tableland terrain has rendered seismic exploration exceptionally challenging[1-3].Persistent obstacles such as complex 3D survey planning,low signal-tonoise ratio raw data,inadequate near-surface velocity modeling,and imaging inaccuracy have long hindered the advancement of seismic exploration across this region.Through a problem-solving approach rooted in geological target analysis,this research systematically investigates the behavioral patterns of nodal seismometer-based high-density seismic acquisition in loess plateau.Tailored advancements in waveform enhancement and depth velocity modelling methodologies have been engineered.Field validations confirm that the optimized workflow demonstrates marked improvements in amplitude preservation and imaging resolution,offering novel insights for future reservoir characterization endeavors. 展开更多
关键词 loess plateau acquisition low signal to noise ratio data processing depth modeling
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Design of the architecture and algorithms for the SVOM satellite data processing and management system 认领 引用
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作者 Mingyue Wei Fuli Ma +2 位作者 Zhen Ji Tao Shi Qinsi Yu 《Astronomical Techniques and Instruments》 CSCD 2026年第3期260-273,共14页
The Space-based multi-band astronomical Variable Objects Monitor(SVOM)mission requires a scalable and efficient data processing and management system to support multi-band data processing,storage,sharing,and operation... The Space-based multi-band astronomical Variable Objects Monitor(SVOM)mission requires a scalable and efficient data processing and management system to support multi-band data processing,storage,sharing,and operational monitoring.Key technologies developed to meet mission requirements include a multi-station Level 0 data fusion algorithm,a data quality assessment algorithm based on orbit and observation number,and a Level 1A science data product processing algorithm for the Gamma Ray Monitor payload.Adopting a layered and modular architecture,the system enables end-to-end automated processing,distribution,archiving,and publication of satellite downlink data across four transmission channels(X-band,S-band,very high frequency,and BeiDou).In-orbit operational validation shows that the system achieves excellent performance in stability,high throughput,and robust adaptability to mission dynamics. 展开更多
关键词 Space science satellite Satellite operations Data processing and management system Data publication and sharing system Space-based multi-band astronomical variable objects monitor
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A review of test methods for uniaxial compressive strength of rocks:Theory,apparatus and data processing 认领 引用 被引量：2
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作者 Wei-Qiang Xie Xiao-Li Liu +2 位作者 Xiao-Ping Zhang Quan-Sheng Liu En-ZhiWang 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第3期1889-1905,共17页
The uniaxial compressive strength(UCS)of rocks is a vital geomechanical parameter widely used for rock mass classification,stability analysis,and engineering design in rock engineering.Various UCS testing methods and ... The uniaxial compressive strength(UCS)of rocks is a vital geomechanical parameter widely used for rock mass classification,stability analysis,and engineering design in rock engineering.Various UCS testing methods and apparatuses have been proposed over the past few decades.The objective of the present study is to summarize the status and development in theories,test apparatuses,data processing of the existing testing methods for UCS measurement.It starts with elaborating the theories of these test methods.Then the test apparatus and development trends for UCS measurement are summarized,followed by a discussion on rock specimens for test apparatus,and data processing methods.Next,the method selection for UCS measurement is recommended.It reveals that the rock failure mechanism in the UCS testing methods can be divided into compression-shear,compression-tension,composite failure mode,and no obvious failure mode.The trends of these apparatuses are towards automation,digitization,precision,and multi-modal test.Two size correction methods are commonly used.One is to develop empirical correlation between the measured indices and the specimen size.The other is to use a standard specimen to calculate the size correction factor.Three to five input parameters are commonly utilized in soft computation models to predict the UCS of rocks.The selection of the test methods for the UCS measurement can be carried out according to the testing scenario and the specimen size.The engineers can gain a comprehensive understanding of the UCS testing methods and its potential developments in various rock engineering endeavors. 展开更多
关键词 Uniaxial compressive strength(UCS) UCS testing methods Test apparatus Data processing
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Multi-scale intelligent fusion and dynamic validation for high-resolution seismic data processing in drilling 认领 引用 被引量：1
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作者 YUAN Sanyi XU Yanwu +2 位作者 XIE Renjun CHEN Shuai YUAN Junliang 《Petroleum Exploration and Development》 SCIE 2025年第3期680-691,共12页
During drilling operations,the low resolution of seismic data often limits the accurate characterization of small-scale geological bodies near the borehole and ahead of the drill bit.This study investigates high-resol... During drilling operations,the low resolution of seismic data often limits the accurate characterization of small-scale geological bodies near the borehole and ahead of the drill bit.This study investigates high-resolution seismic data processing technologies and methods tailored for drilling scenarios.The high-resolution processing of seismic data is divided into three stages:pre-drilling processing,post-drilling correction,and while-drilling updating.By integrating seismic data from different stages,spatial ranges,and frequencies,together with information from drilled wells and while-drilling data,and applying artificial intelligence modeling techniques,a progressive high-resolution processing technology of seismic data based on multi-source information fusion is developed,which performs simple and efficient seismic information updates during drilling.Case studies show that,with the gradual integration of multi-source information,the resolution and accuracy of seismic data are significantly improved,and thin-bed weak reflections are more clearly imaged.The updated seismic information while-drilling demonstrates high value in predicting geological bodies ahead of the drill bit.Validation using logging,mud logging,and drilling engineering data ensures the fidelity of the processing results of high-resolution seismic data.This provides clearer and more accurate stratigraphic information for drilling operations,enhancing both drilling safety and efficiency. 展开更多
关键词 high-resolution seismic data processing while-drilling update while-drilling logging multi-source information fusion thin-bed weak reflection artificial intelligence modeling
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Enhancing the data processing speed of a deep-learning-based three-dimensional single molecule localization algorithm (FD-DeepLoc) with a combination of feature compression and pipeline programming 认领 引用
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作者 Shuhao Guo Jiaxun Lin +1 位作者 Yingjun Zhang Zhen-Li Huang 《Journal of Innovative Optical Health Sciences》 SCIE EI CSCD 2025年第2期150-160,共11页
Three-dimensional(3D)single molecule localization microscopy(SMLM)plays an important role in biomedical applications,but its data processing is very complicated.Deep learning is a potential tool to solve this problem.... Three-dimensional(3D)single molecule localization microscopy(SMLM)plays an important role in biomedical applications,but its data processing is very complicated.Deep learning is a potential tool to solve this problem.As the state of art 3D super-resolution localization algorithm based on deep learning,FD-DeepLoc algorithm reported recently still has a gap with the expected goal of online image processing,even though it has greatly improved the data processing throughput.In this paper,a new algorithm Lite-FD-DeepLoc is developed on the basis of FD-DeepLoc algorithm to meet the online image processing requirements of 3D SMLM.This new algorithm uses the feature compression method to reduce the parameters of the model,and combines it with pipeline programming to accelerate the inference process of the deep learning model.The simulated data processing results show that the image processing speed of Lite-FD-DeepLoc is about twice as fast as that of FD-DeepLoc with a slight decrease in localization accuracy,which can realize real-time processing of 256×256 pixels size images.The results of biological experimental data processing imply that Lite-FD-DeepLoc can successfully analyze the data based on astigmatism and saddle point engineering,and the global resolution of the reconstructed image is equivalent to or even better than FD-DeepLoc algorithm. 展开更多
关键词 Real-time data processing feature compression pipeline programming
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Modeling and Performance Evaluation of Streaming Data Processing System in IoT Architecture 认领 引用
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作者 Feng Zhu Kailin Wu Jie Ding 《Computers, Materials & Continua》 SCIE EI 2025年第5期2573-2598,共26页
With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Alth... With the widespread application of Internet of Things(IoT)technology,the processing of massive realtime streaming data poses significant challenges to the computational and data-processing capabilities of systems.Although distributed streaming data processing frameworks such asApache Flink andApache Spark Streaming provide solutions,meeting stringent response time requirements while ensuring high throughput and resource utilization remains an urgent problem.To address this,the study proposes a formal modeling approach based on Performance Evaluation Process Algebra(PEPA),which abstracts the core components and interactions of cloud-based distributed streaming data processing systems.Additionally,a generic service flow generation algorithmis introduced,enabling the automatic extraction of service flows fromthe PEPAmodel and the computation of key performance metrics,including response time,throughput,and resource utilization.The novelty of this work lies in the integration of PEPA-based formal modeling with the service flow generation algorithm,bridging the gap between formal modeling and practical performance evaluation for IoT systems.Simulation experiments demonstrate that optimizing the execution efficiency of components can significantly improve system performance.For instance,increasing the task execution rate from 10 to 100 improves system performance by 9.53%,while further increasing it to 200 results in a 21.58%improvement.However,diminishing returns are observed when the execution rate reaches 500,with only a 0.42%gain.Similarly,increasing the number of TaskManagers from 10 to 20 improves response time by 18.49%,but the improvement slows to 6.06% when increasing from 20 to 50,highlighting the importance of co-optimizing component efficiency and resource management to achieve substantial performance gains.This study provides a systematic framework for analyzing and optimizing the performance of IoT systems for large-scale real-time streaming data processing.The proposed approach not only identifies performance bottlenecks but also offers insights into improving system efficiency under different configurations and workloads. 展开更多
关键词 System modeling performance evaluation streaming data process IoT system PEPA
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Status of UnDifferenced and Uncombined GNSS Data Processing Activities in China 认领 引用 被引量：2
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作者 Pengyu HOU Delu CHE +3 位作者 Teng LIU Jiuping ZHA Yunbin YUAN Baocheng ZHANG 《Journal of Geodesy and Geoinformation Science》 CSCD 2023年第3期135-144,共10页
With the continued development of multiple Global Navigation Satellite Systems(GNSS)and the emergence of various frequencies,UnDifferenced and UnCombined(UDUC)data processing has become an increasingly attractive opti... With the continued development of multiple Global Navigation Satellite Systems(GNSS)and the emergence of various frequencies,UnDifferenced and UnCombined(UDUC)data processing has become an increasingly attractive option.In this contribution,we provide an overview of the current status of UDUC GNSS data processing activities in China.These activities encompass the formulation of Precise Point Positioning(PPP)models and PPP-Real-Time Kinematic(PPP-RTK)models for processing single-station and multi-station GNSS data,respectively.Regarding single-station data processing,we discuss the advancements in PPP models,particularly the extension from a single system to multiple systems,and from dual frequencies to single and multiple frequencies.Additionally,we introduce the modified PPP model,which accounts for the time variation of receiver code biases,a departure from the conventional PPP model that typically assumes these biases to be time-constant.In the realm of multi-station PPP-RTK data processing,we introduce the ionosphere-weighted PPP-RTK model,which enhances the model strength by considering the spatial correlation of ionospheric delays.We also review the phase-only PPP-RTK model,designed to mitigate the impact of unmodelled code-related errors.Furthermore,we explore GLONASS PPP-RTK,achieved through the application of the integer-estimable model.For large-scale network data processing,we introduce the all-in-view PPP-RTK model,which alleviates the strict common-view requirement at all receivers.Moreover,we present the decentralized PPP-RTK data processing strategy,designed to improve computational efficiency.Overall,this work highlights the various advancements in UDUC GNSS data processing,providing insights into the state-of-the-art techniques employed in China to achieve precise GNSS applications. 展开更多
关键词 Global Navigation Satellite Systems(GNSS) UnDifferenced and UnCombined(UDUC) Precise Point Positioning(PPP) PPP-Real-Time Kinematic(PPP-RTK) single-station data processing multi-station data processing
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Magnetic field data processing methods of the China Seismo-Electromagnetic Satellite 认领 引用 被引量：19
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作者 Bin Zhou YanYan Yang +4 位作者 YiTeng Zhang XiaoChen Gou BingJun Cheng JinDong Wang Lei Li 《Earth and Planetary Physics》 CAS 2018年第6期455-461,共7页
The High Precision Magnetometer(HPM) on board the China Seismo-Electromagnetic Satellite(CSES) allows highly accurate measurement of the geomagnetic field; it includes FGM(Fluxgate Magnetometer) and CDSM(Coupled Dark ... The High Precision Magnetometer(HPM) on board the China Seismo-Electromagnetic Satellite(CSES) allows highly accurate measurement of the geomagnetic field; it includes FGM(Fluxgate Magnetometer) and CDSM(Coupled Dark State Magnetometer)probes. This article introduces the main processing method, algorithm, and processing procedure of the HPM data. First, the FGM and CDSM probes are calibrated according to ground sensor data. Then the FGM linear parameters can be corrected in orbit, by applying the absolute vector magnetic field correction algorithm from CDSM data. At the same time, the magnetic interference of the satellite is eliminated according to ground-satellite magnetic test results. Finally, according to the characteristics of the magnetic field direction in the low latitude region, the transformation matrix between FGM probe and star sensor is calibrated in orbit to determine the correct direction of the magnetic field. Comparing the magnetic field data of CSES and SWARM satellites in five continuous geomagnetic quiet days, the difference in measurements of the vector magnetic field is about 10 nT, which is within the uncertainty interval of geomagnetic disturbance. 展开更多
关键词 China Seismo-Electromagnetic Satellite(CSES) High Precision Magnetometer(HPM) fluxgate magnetometer CPT magnetometer data processing
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A machine learning framework for low-field NMR data processing 认领 引用 被引量：11
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作者 Si-Hui Luo Li-Zhi Xiao +4 位作者 Yan Jin Guang-Zhi Liao Bin-Sen Xu Jun Zhou Can Liang 《Petroleum Science》 SCIE CAS CSCD 2022年第2期581-593,共13页
Low-field(nuclear magnetic resonance)NMR has been widely used in petroleum industry,such as well logging and laboratory rock core analysis.However,the signal-to-noise ratio is low due to the low magnetic field strengt... Low-field(nuclear magnetic resonance)NMR has been widely used in petroleum industry,such as well logging and laboratory rock core analysis.However,the signal-to-noise ratio is low due to the low magnetic field strength of NMR tools and the complex petrophysical properties of detected samples.Suppressing the noise and highlighting the available NMR signals is very important for subsequent data processing.Most denoising methods are normally based on fixed mathematical transformation or handdesign feature selectors to suppress noise characteristics,which may not perform well because of their non-adaptive performance to different noisy signals.In this paper,we proposed a“data processing framework”to improve the quality of low field NMR echo data based on dictionary learning.Dictionary learning is a machine learning method based on redundancy and sparse representation theory.Available information in noisy NMR echo data can be adaptively extracted and reconstructed by dictionary learning.The advantages and application effectiveness of the proposed method were verified with a number of numerical simulations,NMR core data analyses,and NMR logging data processing.The results show that dictionary learning can significantly improve the quality of NMR echo data with high noise level and effectively improve the accuracy and reliability of inversion results. 展开更多
关键词 Dictionary learning Low-field NMR Denoising Data processing T2distribution
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GF-3 data real-time processing method based on multi-satellite distributed data processing system 认领 引用 被引量：7
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作者 YANG Jun CAO Yan-dong +2 位作者 SUN Guang-cai XING Meng-dao GUO Liang 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第3期842-852,共11页
Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process... Due to the limited scenes that synthetic aperture radar(SAR)satellites can detect,the full-track utilization rate is not high.Because of the computing and storage limitation of one satellite,it is difficult to process large amounts of data of spaceborne synthetic aperture radars.It is proposed to use a new method of networked satellite data processing for improving the efficiency of data processing.A multi-satellite distributed SAR real-time processing method based on Chirp Scaling(CS)imaging algorithm is studied in this paper,and a distributed data processing system is built with field programmable gate array(FPGA)chips as the kernel.Different from the traditional CS algorithm processing,the system divides data processing into three stages.The computing tasks are reasonably allocated to different data processing units(i.e.,satellites)in each stage.The method effectively saves computing and storage resources of satellites,improves the utilization rate of a single satellite,and shortens the data processing time.Gaofen-3(GF-3)satellite SAR raw data is processed by the system,with the performance of the method verified. 展开更多
关键词 synthetic aperture radar full-track utilization rate distributed data processing CS imaging algorithm field programmable gate array Gaofen-3
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Data processing of small samples based on grey distance information approach 认领 引用 被引量：15
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作者 Ke Hongfa Chen Yongguang Liu Yi 《Journal of Systems Engineering and Electronics》 SCIE EI 2007年第2期281-289,共9页
Data processing of small samples is an important and valuable research problem in the electronic equipment test.Because it is difficult and complex to determine the probability distribution of small samples,it is diff... Data processing of small samples is an important and valuable research problem in the electronic equipment test.Because it is difficult and complex to determine the probability distribution of small samples,it is difficult to use the traditional probability theory to process the samples and assess the degree of uncertainty.Using the grey relational theory and the norm theory,the grey distance information approach,which is based on the grey distance information quantity of a sample and the average grey distance information quantity of the samples,is proposed in this article.The definitions of the grey distance information quantity of a sample and the average grey distance information quantity of the samples,with their characteristics and algorithms,are introduced.The correlative problems,including the algorithm of estimated value,the standard deviation,and the acceptance and rejection criteria of the samples and estimated results,are also proposed.Moreover,the information whitening ratio is introduced to select the weight algorithm and to compare the different samples.Several examples are given to demonstrate the application of the proposed approach.The examples show that the proposed approach,which has no demand for the probability distribution of small samples,is feasible and effective. 展开更多
关键词 Data processing Grey theory Norm theory,Small samples Uncertainty assessments Grey distance measure,Information whitening ratio
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Data processing and initial results of Chang'e-3 lunar penetrating radar 认领 引用 被引量：32
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作者 Yan Su Guang-You Fang +8 位作者 Jian-Qing Feng Shu-Guo Xing Yi-Cai Ji Bin Zhou Yun-Ze Gao Han Li Shun Dai Yuan Xiao Chun-Lai Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2014年第12期1623-1632,共10页
To improve our understanding of the formation and evolution of the Moon, one of the payloads onboard the Chang＇e-3 （CE-3） rover is Lunar Penetrating Radar （LPR）. This investigation is the first attempt to explore... To improve our understanding of the formation and evolution of the Moon, one of the payloads onboard the Chang＇e-3 （CE-3） rover is Lunar Penetrating Radar （LPR）. This investigation is the first attempt to explore the lunar subsurface structure by using ground penetrating radar with high resolution. We have probed the subsur- face to a depth of several hundred meters using LPR. In-orbit testing, data processing and the preliminary results are presented. These observations have revealed the con- figuration of regolith where the thickness of regolith varies from about 4 m to 6 m. In addition, one layer of lunar rock, which is about 330 m deep and might have been accumulated during the depositional hiatus of mare basalts, was detected. 展开更多
关键词 space vehicles： instruments： Lunar Penetrating Radar -- techniques：radar astronomy -- methods： data processing -- Moon： lunar subsurface -- Moon：regolith
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Data processing and preliminary results of the Chang'e-3 VIS/NIR Imaging Spectrometer in-situ analysis 认领 引用 被引量：11
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作者 Bin Liu Chun-Lai Li +7 位作者 Guang-Liang Zhang Rui Xu Jian-Jun Liu Xin Ren Xu Tan Xiao-Xia Zhang Wei Zuo Wei-Bin Wen 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2014年第12期1578-1594,共17页
The Chang＇e-3 Visible and Near-infrared Imaging Spectrometer （VNIS） is one of the four payloads on the Yutu rover. After traversing the landing site during the first two lunar days, four different areas are detecte... The Chang＇e-3 Visible and Near-infrared Imaging Spectrometer （VNIS） is one of the four payloads on the Yutu rover. After traversing the landing site during the first two lunar days, four different areas are detected, and Level 2A and 2B ra- diance data have been released to the scientific community. The released data have been processed by dark current subtraction, correction for the effect of temperature, radiometric calibration and geometric calibration. We emphasize approaches for re- flectance analysis and mineral identification for in-situ analysis with VNIS. Then the preliminary spectral and mineralogical results from the landing site are derived. After comparing spectral data from VNIS with data collected by the Ma instrument and samples of mare that were returned from the Apollo program, all the reflectance data have been found to have similar absorption features near 1000 nm except lunar sample 71061. In addition, there is also a weak absorption feature between 1750-2400nm on VNIS, but the slopes of VNIS and Ma reflectance at longer wavelengths are lower than data taken from samples of lunar mare. Spectral parameters such as Band Centers and Integrated Band Depth Ratios are used to analyze mineralogical features. The results show that detection points E and N205 are mixtures of high-Ca pyroxene and olivine, and the composition of olivineat point N205 is higher than that at point E, but the compositions of detection points S3 and N203 are mainly olivine-rich. Since there are no obvious absorption features near 1250 nm, plagioclase is not directly identified at the landing site. 展开更多
关键词 Chang＇e-3 -- VNIS -- in-situ analysis -- data processing
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Data processing and initial results from the CE-3 Extreme Ultraviolet Camera 认领 引用 被引量：10
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作者 Jian-Qing Feng Jian-Jun Liu +10 位作者 Fei He Wei Yan Xin Ren Xu Tan Ling-Ping He Bo Chen Wei Zuo Wei-Bin Wen Yan Su Yong-Liao Zou Chun-Lai Li 《Research in Astronomy and Astrophysics》 SCIE CAS CSCD 2014年第12期1664-1673,共10页
The Extreme Ultraviolet Camera （EUVC） onboard the Chang＇e-3 （CE-3） lander is used to observe the structure and dynamics of Earth＇s plasmasphere from the Moon. By detecting the resonance line emission of helium i... The Extreme Ultraviolet Camera （EUVC） onboard the Chang＇e-3 （CE-3） lander is used to observe the structure and dynamics of Earth＇s plasmasphere from the Moon. By detecting the resonance line emission of helium ions （He＋） at 30.4 nm, the EUVC images the entire plasmasphere with a time resolution of 10 min and a spatial resolution of about 0.1 Earth radius （RE） in a single frame. We first present details about the data processing from EUVC and the data acquisition in the commissioning phase, and then report some initial results, which reflect the basic features of the plas- masphere well. The photon count and emission intensity of EUVC are consistent with previous observations and models, which indicate that the EUVC works normally and can provide high quality data for future studies. 展开更多
关键词 space vehicles： instruments： Extreme Ultraviolet Camera -- Earth： plas-masphere -- method： data processing
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Methods of Data Processing for Trace Elements Analysis Using Laser Induced Breakdown Spectroscopy 认领 引用 被引量：1
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作者 王锐 马晓红 +4 位作者 余琦 宋阳 赵华凤 张敏 廖延彪 《Plasma Science and Technology》 SCIE EI CAS CSCD 2015年第11期944-947,共4页
With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of eleme... With the development of Laser Induced Breakdown Spectroscopy （LIBS）, increasing numbers of researchers have begun to focus on problems of the application. We are not just satisfied with analyzing what kinds of elements are in the samples but are also eager to accomplish quantitative detection with LIBS. There are several means to improve the limit of detection and stability, which are important to quantitative detection, especially of trace elements, increasing the laser energy and the resolution of spectrometer, using dual pulse setup, vacuuming the ablation environment etc. All of these methods are about to update the hardware system, which is effective but expensive. So we establish the following spectrum data processing methods to improve the trace elements analysis in this paper： spectrum sifting, noise filtering, and peak fitting. There are small algorithms in these three method groups, which we will introduce in detail. Finally, we discuss how these methods affect the results of trace elements detection in an experiment to analyze the lead content in Chinese cabbage. 展开更多
关键词 LIBS data processing limit of detection spectrum sift noise filtering peak fitting
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The Implementation of Computer Data Processing Software for EAST NBI 认领 引用 被引量：1
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作者 张小丹 胡纯栋 +3 位作者 盛鹏 赵远哲 吴德云 崔庆龙 《Plasma Science and Technology》 SCIE EI CAS CSCD 2014年第10期984-987,共4页
One of the most important project missions of neutral beam injectors is the implementation of 100 s neutral beam injection （NBI） with high power energy t.o the plasma of the EAST superconducting tokamak. Correspondi... One of the most important project missions of neutral beam injectors is the implementation of 100 s neutral beam injection （NBI） with high power energy t.o the plasma of the EAST superconducting tokamak. Correspondingly, it＇s necessary to construct a high-speed and reliable computer data processing system for processing experimental data, such as data acquisition, data compression and storage, data decompression and query, as well as data analysis. The implementation of computer data processing application software （CDPS） for EAST NBI is presented in this paper in terms of its functional structure and system realization. The set of software is programmed in C language and runs on Linux operating system based on TCP network protocol and multi-threading technology. The hardware mainly includes industrial control computer （IPC）, data server, PXI DAQ cards and so on. Now this software has been applied to EAST NBI system, and experimental results show that the CDPS can serve EAST NBI very well. 展开更多
关键词 NBI data processing LZO algorithm TCP
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XML-based Data Processing in Network Supported Collaborative Design 认领 引用 被引量：5
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作者 Qi Wang Zhong-Wei Ren Zhong-Feng Guo 《International Journal of Automation and computing》 2010年第3期330-335,共6页
In the course of network supported collaborative design,the data processing plays a very vital role.Much effort has been spent in this area,and many kinds of approaches have been proposed.Based on the correlative mate... In the course of network supported collaborative design,the data processing plays a very vital role.Much effort has been spent in this area,and many kinds of approaches have been proposed.Based on the correlative materials,this paper presents extensible markup language(XML)based strategy for several important problems of data processing in network supported collaborative design,such as the representation of standard for the exchange of product model data(STEP)with XML in the product information expression and the management of XML documents using relational database.The paper gives a detailed exposition on how to clarify the mapping between XML structure and the relationship database structure and how XML-QL queries can be translated into structured query language(SQL)queries.Finally,the structure of data processing system based on XML is presented. 展开更多
关键词 Extensible markup language(XML) network supported collaborative design standard for the exchange of product model data(STEP)data analysis data processing relational database
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Fast Data Processing of a Polarimeter-Interferometer System on J-TEXT 认领 引用 被引量：1
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作者 LIU Yukai GAO Li +3 位作者 LIU Haiqing YANG Yao GAO Xiang J-TEXT Team 《Plasma Science and Technology》 SCIE EI CAS CSCD 2016年第12期1143-1147,共5页
A method of fast data processing has been developed to rapidly obtain evolution of the electron density profile for a multichannel polarimeter-interferometer system(POLARIS)on J-TEXT.Compared with the Abel inversion m... A method of fast data processing has been developed to rapidly obtain evolution of the electron density profile for a multichannel polarimeter-interferometer system(POLARIS)on J-TEXT.Compared with the Abel inversion method,evolution of the density profile analyzed by this method can quickly offer important information.This method has the advantage of fast calculation speed with the order of ten milliseconds per normal shot and it is capable of processing up to 1 MHz sampled data,which is helpful for studying density sawtooth instability and the disruption between shots.In the duration of a flat-top plasma current of usual ohmic discharges on J-TEXT,shape factor u is ranged from 4 to 5.When the disruption of discharge happens,the density profile becomes peaked and the shape factor u typically decreases to 1. 展开更多
关键词 fast data processing polarimeter-interferometer J-TEXT
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SLC-index: A scalable skip list-based index for cloud data processing 认领 引用 被引量：2
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作者 HE Jing YAO Shao-wen +1 位作者 CAI Li ZHOU Wei 《Journal of Central South University》 SCIE EI CAS CSCD 2018年第10期2438-2450,共13页
Due to the increasing number of cloud applications,the amount of data in the cloud shows signs of growing faster than ever before.The nature of cloud computing requires cloud data processing systems that can handle hu... Due to the increasing number of cloud applications,the amount of data in the cloud shows signs of growing faster than ever before.The nature of cloud computing requires cloud data processing systems that can handle huge volumes of data and have high performance.However,most cloud storage systems currently adopt a hash-like approach to retrieving data that only supports simple keyword-based enquiries,but lacks various forms of information search.Therefore,a scalable and efficient indexing scheme is clearly required.In this paper,we present a skip list-based cloud index,called SLC-index,which is a novel,scalable skip list-based indexing for cloud data processing.The SLC-index offers a two-layered architecture for extending indexing scope and facilitating better throughput.Dynamic load-balancing for the SLC-index is achieved by online migration of index nodes between servers.Furthermore,it is a flexible system due to its dynamic addition and removal of servers.The SLC-index is efficient for both point and range queries.Experimental results show the efficiency of the SLC-index and its usefulness as an alternative approach for cloud-suitable data structures. 展开更多
关键词 cloud computing distributed index cloud data processing skip list
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Development of the Data Processing and Analysis System Framework for ICF Experiments 认领 引用 被引量：1
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作者 杨冬 虞孝麒 张弛 《Plasma Science and Technology》 SCIE EI CAS 2005年第3期2872-2874,共3页
An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing... An idea is presented about the development of a data processing and analysis system for ICF experiments, which is based on an object oriented framework. The design and preliminary implementation of the data processing and analysis framework based on the ROOT system have been completed. Software for unfolding soft X-ray spectra has been developed to test the functions of this framework. 展开更多
关键词 initial confinement fusion data processing and analysis object oriented framework ROOT soft X-ray spectra
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