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| 1 | The global image of the Moon obtained by the Chang'E-1:Data processing and lunar cartography显示文摘The global lunar image of the first phase of Chinese Lunar Exploration Program is the first image that covered all over the surface of the Moon. It will serve as a critical foundation for succeeding exploration and scientific research. In this paper, the acquisition, characteristics, and data quality of Chang'E-1 CCD image data are described in detail. Also described are the methodology and procedure of data processing. According to rule of planetary cartography, the image data have been processed, geometrically corrected, and then mosaicked and merged in a scale of 1:2.5 million. The results of data processing and charting show that the image data of Chang'E-1 CCD and their geometric precision meet the demand of charting a map in the scale of 1:2.5 million. The relative geometric positioning precision of the global image is better than 240 m, and the absolute geometric positioning precision is slightly better than that of the ULCN2005 and Clementine lunar basemap (V2.0). The plane positioning precision is approximately 100-1500 m. This global image proves to be the best global image of the Moon so far in terms of space coverage, image quality, and positioning precision. | LI ChunLai1, LIU JianJun1, REN Xin1, MOU LingLi1, ZOU YongLiao1, ZHANG HongBo1, Lü Chang1, LIU JianZhong1, ZUO Wei1, SU Yan1, WEN WeiBin1, BIAN Wei1, ZHAO BaoChang2, YANG JianFeng2, ZOU XiaoDuan1, WANG Min1, XU Chun1, KONG DeQing1, WANG XiaoQian1, WANG Fang1, GENG Liang1, ZHANG ZhouBin1, ZHENG Lei1, ZHU XinYing1, LI JunDuo1 & OUYANG ZiYuan11 National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100012, China 2 Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi’an 710119, China | 2010 | Science China Earth Sciences2010，53，8： | 22 |
| 2 | 石油组分高分辨质谱的数据处理显示文摘A data processing combination of manual and automatic steps for mass peaks identification of a coking gas oil was illustrated.Some representative compounds were identified by manual process.A program was performed to search the various types with the same hetero-atoms(familes-class,NnSsOo)but different rings plus double bonds(R+DB)value(Z in CcH2c+ZNnOoSs),then,alkylation series of each types were revealed by multiplying each mass by 14.00000 in Kendrick mass scale.Finally,isotope groups of each identified peaks were picked up respectively.The method is appropriate to the data analysis of FT-ICR MS spectra with a poor mass accuracy. | 史权 董智勇 张亚和 赵锁奇 徐春明 | 2008 | 分析测试学报2008，27，S1： | 17 |
| 3 | Real-time intelligent big data processing:technology, platform, and applications显示文摘Human beings keep exploring the physical space using information means. Only recently, with the rapid development of information technologies and the increasing accumulation of data, human beings can learn more about the unknown world with data-driven methods. Given data timeliness, there is a growing awareness of the importance of real-time data. There are two categories of technologies accounting for data processing: batching big data and streaming processing, which have not been integrated well. Thus,we propose an innovative incremental processing technology named after Stream Cube to process both big data and stream data. Also, we implement a real-time intelligent data processing system, which is based on real-time acquisition, real-time processing, real-time analysis, and real-time decision-making. The real-time intelligent data processing technology system is equipped with a batching big data platform, data analysis tools, and machine learning models. Based on our applications and analysis, the real-time intelligent data processing system is a crucial solution to the problems of the national society and economy. | Tongya ZHENG Gang CHEN Xinyu WANG Chun CHEN Xingen WANG Sihui LUO | 2019 | Science China(Information Sciences)2019，62，8： | 8 |
| 4 | Application of Wavelet Analysis toInterference Elimination for Geochemical Hydrocarbon Exploration显示文摘Interference in the data of geochemical hydrocarbon exploration is a large obstacle for anomaly recognition. The multiresolution analysis of wavelet analysis can extract the information at different scales so as to provide a powerful tool for information analysis and processing. Based on the analysis of the geometric nature of hydrocarbon anomalies and background, Mallat wavelet and symmetric border treatment are selected and data pre-processing (logarithm-normalization) is established. This approach provide good results in Shandong and Inner Mongolia, China. It is demonstrated that this approach overcome the disadvantage of backgound variation in the window (interference in window), used in moving average, frame filtering and spatial and scaling modeling methods. | Zhang Liuping Ruan Tianjian Faculty of Earth Resources, China University of Geosciences, Wuhan 430074 | 2000 | Journal of Earth Science2000，19，1： | 7 |
| 5 | The trend of the APRGP velocity field and plates movement derived from GPS data显示文摘High-precision data processing theories and methods for the wide area GPS network–––Asia Pacific Regional Geodesy Project (APRGP), are systematically discussed in this article. With the software bernese5.0 update, the annual results of APRGP coordinate, velocity field and the trend of plate movement are reestimated, and the corresponding accuracy of adjustment with different constraints, also the velocity field of APRGP, are presented and analyzed. Conclusions could be drawn that Eurasian plate (EURA) rotates clockwise, the Australian plate (AUST) and the Indian plate (INDI) move from southwest to northeast, while the Pacific plate (PCFC) is drifting to northwest, which shows agreement with those of IGS results. | CHENG PengFei , WANG Hua, CHENG YingYan, WEN HanJiang & CAI YanHui Chinese Academy of Surveying and Mapping, Beijing 100039, China | 2010 | Science China(Physics,Mechanics & Astronomy)2010，53，4： | 5 |
| 6 | The Tibetan Plateau Surface–Atmosphere Coupling System and Its Weather and Climate Effects: The Third Tibetan Plateau Atmospheric Science Experiment显示文摘The Tibetan Plateau(TP) is a key area affecting forecasts of weather and climate in China and occurrences of extreme weather and climate events over the world. The China Meteorological Administration, the National Natural Science Foundation of China, and the Chinese Academy of Sciences jointly initiated the Third Tibetan Plateau Atmospheric Science Experiment(TIPEX-Ⅲ) in 2013, with an 8–10-yr implementation plan. Since its preliminary field measurements conducted in 2013, routine automatic sounding systems have been deployed at Shiquanhe, Gaize, and Shenzha stations in western TP, where no routine sounding observations were available previously. The observational networks for soil temperature and soil moisture in the central and western TP have also been established. Meanwhile, the plateau-scale and regional-scale boundary layer observations, cloud–precipitation microphysical observations with multiple radars and aircraft campaigns, and tropospheric–stratospheric air composition observations at multiple sites, were performed. The results so far show that the turbulent heat exchange coefficient and sensible heat flux are remarkably lower than the earlier estimations at grassland, meadow, and bare soil surfaces of the central and western TP. Climatologically, cumulus clouds over the main body of the TP might develop locally instead of originating from the cumulus clouds that propagate northward from South Asia. The TIPEX-Ⅲ observations up to now also reveal diurnal variations, macro-and microphysical characteristics, and water-phase transition mechanisms, of cumulus clouds at Naqu station. Moreover, TIPEX-Ⅲ related studies have proposed a maintenance mechanism responsible for the Asian 'atmospheric water tower' and demonstrated the effects of the TP heating anomalies on African, Asian, and North American climates. Additionally, numerical modeling studies show that the Γ distribution of raindrop size is more suitable for depicting the TP raindrop characteristics compared to the M–P distribution, the overestimation of sensible heat flux can be reduced via modifying the heat transfer parameterization over the TP, and considering climatic signals in some key areas of the TP can improve the skill for rainfall forecast in the central and eastern parts of China. Furthermore, the TIPEX-Ⅲ has been promoting the technology in processing surface observations, soundings, and radar observations, improving the quality of satellite retrieved soil moisture and atmospheric water vapor content products as well as high-resolution gauge–radar–satellite merged rainfall products, and facilitating the meteorological monitoring, forecasting, and data sharing operations. | Ping ZHAO Yueqing LI Xueliang GUO Xiangde XU Yimin LIU Shihao TANG Wenming XIAO Chunxiang SHI Yaoming MA Xing YU Huizhi LIU La JIA Yun CHEN Yanju LIU Jian LI Dabiao LUO Yunchang CAO Xiangdong ZHENG Junming CHEN An XIAO Fang YUAN Donghui CHEN Yang PANG Zhiqun HU Shengjun ZHANG Lixin DONG Juyang HU Shuai HAN Xiuji ZHOU | 2019 | Journal of Meteorological Research2019，33，3： | 4 |
| 7 | Automatic extraction of imaging observation and assessment categories from breast magnetic resonance imaging reports with natural language processing显示文摘Background:Structured reports are not widely used and thus most reports exist in the form of free text.The process of data extraction by experts is time-consuming and error-prone,whereas data extraction by natural language processing (NLP) is a potential solution that could improve diagnosis efficiency and accuracy.The purpose of this study was to evaluate an NLP program that determines American College of Radiology Breast Imaging Reporting and Data System (BI-RADS) descriptors and final assessment categories from breast magnetic resonance imaging (MRI) reports.Methods:This cross-sectional study involved 2330 breast MRI reports in the electronic medical record from 2009 to 2017.We used 1635 reports for the creation of a revised BI-RADS MRI lexicon and synonyms lists as well as the iterative development of an NLP system.The remaining 695 reports that were not used for developing the system were used as an independent test set for the final evaluation of the NLP system.The recall and precision of an NLP algorithm to detect the revised BI-RADS MRI descriptors and BI-RADS categories from the free-text reports were evaluated against a standard reference of manual human review.Results:There was a high level of agreement between two manual reviewers,with a κ value of 0.95.For all breast imaging reports,the NLP algorithm demonstrated a recall of 78.5% and a precision of 86.1% for correct identification of the revised BI-RADS MRI descriptors and the BI-RADS categories.NLP generated the total results in <1 s,whereas the manual reviewers averaged 3.38 and 3.23 min per report,respectively.Conclusions:The NLP algorithm demonstrates high recall and precision for information extraction from free-text reports.This approach will help to narrow the gap between unstructured report text and structured data,which is needed in decision support and other applications. | Yi Liu Li-Na Zhu Qing Liu Chao Han Xiao-Dong Zhang Xiao-Ying Wang | 2019 | Chinese Medical Journal2019，，14： | 2 |
| 8 | A Study of the Method for the Recognition of Anomalies in Geochemical Hydrocarbon Exploration显示文摘INTRODUCTIONAnomalythresholdiscommonlydeterminedbycalculat-ingthemeanplusnstandarddeviationsorbyusingtrendsur-faceanalysis.Un... | Zhang Liuping Doctoral Student, China University of Geosciences, Wuhan 430074 Liao Zebin North China Institute of Petroleum Exploration and Development, Renqiu 062552 | 1998 | Journal of Earth Science1998，17，1： | 2 |
| 9 | Survey on Encoding Schemes for Genomic Data Representation and Feature Learning——From Signal Processing to Machine Learning显示文摘Data-driven machine learning, especially deep learning technology, is becoming an important tool for handling big data issues in bioinformatics. In machine learning, DNA sequences are often converted to numerical values for data representation and feature learning in various applications. Similar conversion occurs in Genomic Signal Processing(GSP), where genome sequences are transformed into numerical sequences for signal extraction and recognition. This kind of conversion is also called encoding scheme. The diverse encoding schemes can greatly affect the performance of GSP applications and machine learning models. This paper aims to collect,analyze, discuss, and summarize the existing encoding schemes of genome sequence particularly in GSP as well as other genome analysis applications to provide a comprehensive reference for the genomic data representation and feature learning in machine learning. | Ning Yu Zhihua Li Zeng Yu | 2018 | Big Data Mining and Analytics2018，1，3： | 1 |
| 10 | A Development of A Computer aided Ferrographic System显示文摘ADevelopmentofAComputeraidedFerrographicSystemYanXinpingDepartmentofMarineMechanicalEngineering,WuhanTransportationUniversity... | Yan Xinping Department of Marine Mechanical Engineering, Wuhan Transportation University Wuhan 430063, P.R. ChinaHu Zhengyi School of Electronics and Information Processing,Wuhan University Wuhan 430072, P.R. China | 1996 | International Journal of Plant Engineering and Management1996，1，1： | 1 |
| 11 | A Decision Support System for Construction Projects Based on Standardized Exchanged Documents显示文摘Large amounts of documents are exchanged during the construction phase of projects, which covers the important management information. To utilize the exchanged documents to support decisionmaking of the management staffs, the requirement analysis was carried out based on the interviews to the practitioners. A decision support system called Explyzer+ was developed based on the previous prototype system Explyzer. The latter was enhanced by adding the functions to automate the whole process and the techniques of data mining including decision tree analysis and clustering analysis. A case study for in-depth information analysis was conducted based on the data obtained from a large construction project to demonstrate its feasibility and effectiveness. The system could effectively assist the management staffs to carry out in-depth information analysis for decision-making in construction projects. | 马智亮 陆宁 顾卫华 | 2008 | Tsinghua Science and Technology2008，13，S1： | 1 |
| 12 | Statistics matters in interpretations of non-traditional stable isotopic data显示文摘Increasing volumes of of non-traditional stable isotope data have brought new opportunities to gain important insights into geochemical and planetary processes.However,there is a worrysome trend that the isotopic data are interpreted in a fashion that its statistical approaches are chosen subjectively.This communication summarizes the rules regarding calculating the mean,standard deviation and relative standard deviation of a population,as well as error propagation and significant digits.These rules should be used when reporting geochemical data,especially for isotope ratios.Using two examples,I show that statistics matters in isotopic data interpretation. | Chun-Hui Li | 2020 | Acta Geochimica2020，39，2： | 1 |
| 13 | Energy calibration of laterally segmented electromagnetic calorimeters based on neutral pion detection显示文摘This paper describes a method for energy calibration of laterally segmented electromagnetic calorimeters based on the detection of two-photon decays of π~0 mesons.The calibration procedure performs a X^2 function minimization between the measured π~0 energy in the calorimeter and its expected energy deduced from the π~0 momentum direction. The performance of this technique is demonstrated with a Monte Carlo simulation of an experimental case where biased calibration coefficients are employed. The real calibration coefficients are restored with less than 1% relative accuracy when a sufficient number of π~0 is detected. This technique is applied to monitor daily the calibration coefficients of the calorimeter used in the Jefferson Lab Hall A DVCS experiments. | Malek Mazouz | 2017 | Nuclear Science and Techniques2017，28，11： | 1 |
| 14 | Preliminary study of automatic gastric cancer risk classification from photofluorography显示文摘AIM To perform automatic gastric cancer risk classificationusing photofluorography for realizing effective mass screening as a preliminary study. METHODS We used data for 2100 subjects including X-ray images, pepsinogen Ⅰ and Ⅱ levels, PGⅠ/PGⅡ ratio, Helicobacter pylori (H. pylori) antibody, H. pylori eradication history and interview sheets. We performed two-stage classification with our system. In the first stage, H. pylori infection status classification was performed, and H. pylori-infected subjects were automatically detected. In the second stage, we performed atrophic level classification to validate the effectiveness of our system.RESULTS Sensitivity, specificity and Youden index(YI) of H. pylori infection status classification were 0.884, 0.895 and 0.779, respectively, in the first stage. In the second stage, sensitivity, specificity and YI of atrophic level classification for H. pylori-infected subjects were 0.777, 0.824 and 0.601, respectively. CONCLUSION Although further improvements of the system are needed, experimental results indicated the effectiveness of machine learning techniques for estimation of gastric cancer risk. | Ren Togo Kenta Ishihara Katsuhiro Mabe Harufumi Oizumi Takahiro Ogawa Mototsugu Kato Naoya Sakamoto Shigemi Nakajima Masahiro Asaka Miki Haseyama | 2018 | World Journal of Gastrointestinal Oncology2018，10，2： | 1 |
| 15 | Non-contact monitoring and analysis system for tunnel surrounding rock deformation of underground engineering显示文摘It is very important to monitor surrounding rock deformation in tunnel construction. The principle, function, development and application of the system composed of a total station and computer for monitoring and analyzing surrounding rock deformation were discussed. The new methods of two free station of 3D measurement and its mathematic adjustment mode were presented. The development of software for total station on-board and post for computer were also described. Without centering it and measuring its height, the total station controlled by the software on-board can fulfill the whole measurements to target points. Monitoring data can be processed by the post software and results of regression analysis, forecasting information of the tunnel surrounding rock deformation can be provided in time. The practical use shows that this system is practicable, highly accurate and efficient. It satisfies the needs of safety and information construction in tunnel construction of underground engineering. | YANG Song-lin, WANG Bin, JI Sheng-yue, LIU Wei-ning, SHI Hong-yun (Beijing Jiaotong University, Beijing 100044, China) | 2005 | 中国有色金属学会会刊:英文版2005，15，S1： | 1 |
| 16 | Training of Multi-layered Neural Network for Data Enlargement Processing Using an Activity Function显示文摘In this paper, we present a study on activity functions for an MLNN (multi-layered neural network) and propose a suitable activity function for data enlargement processing. We have carefully studied the training performance of Sigmoid, ReLu, Leaky-ReLu and L & exp. activity functions for few inputs to multiple output training patterns. Our MLNNs model has L hidden layers with two or three inputs to four or six outputs data variations by BP (backpropagation) NN (neural network) training. We focused on the multi teacher training signals to investigate and evaluate the training performance in MLNNs to select the best and good activity function for data enlargement and hence could be applicable for image and signal processing (synaptic divergence) along with the proposed methods with convolution networks. We specifically used four activity functions from which we found out that L & exp. activity function can suite DENN (data enlargement neural network) training since it could give the highest percentage training abilities compared to the other activity functions of Sigmoid, ReLu and Leaky-ReLu during simulation and training of data in the network. And finally, we recommend L & exp. function to be good for MLNNs and may be applicable for signal processing of data and information enlargement because of its performance training characteristics with multiple teacher training patterns using original generated data and hence can be tried with CNN (convolution neural networks) of image processing. | Betere Job Isaac Hiroshi Kinjo Kunihiko Nakazono Naoki Oshiro | 2019 | Journal of Electrical Engineering2019，7，1： | 1 |
| 17 | Design of Gamma Spectrum Data Acquisition and Processing System Based on ARM / DSP显示文摘Research for detecting or obtaining radionuclide by gamma energy spectrum data acquisition and process system is one of the key issues about intelligent measurement of gamma-ray spectrum. For this reason, a software and hardware implementation schematic design based on ARM ( Advanced RISC Machines) + DSP ( Digital Signal Processor) architecture for gamma energy spectrum data acquisition and processing system is proposed. The paper discusses in detail some key technologies such as communication interface design between microcontroller ARM and digital signal processor DSP,distribution scheduling under multi-task in the ARM-Linux,DSP handling procedures for multi-channel A / D high-speed sample. At the same time,because the traditional Gaussian fitting to determine the boundary of peak is not ideal,it puts forward a weighting factor of Gaussian function least squares fitting realize boundary determined. Finally gamma-spectrum data from sodium iodide NaI( TI) scintillation detector is tested and processed in the new system. The results show that gamma energy spectrum data acquisition and process system is perfect functionality, stable and convergence in unimodal. Compared with data from conventional energy spectrometers,the system can keep better energy resolution in a wide range of pulse pass rate. | Jian-Feng He Fang Fang Yue-Shun He Bin Tang | 2013 | Journal of Harbin Institute of Technology(New Series)2013，20，2： | 1 |
| 18 | DATA PROCESSING ON LINEARIZATION OF HOT-WIRE ANEMOMETER显示文摘A method of data processing to determine the coefficients of linearization equations for 1050 anemometer (produced by Thermo-Systems Inc. -TSI, USA) with the sensors made of domestic hot wire using the program preferred in this Paper is described. By calculation and test, it is indicated that the error resulting from this method is about 0. 5% of the full scale and less than TSl's. By using this method we can set up the calibration curve according to the measurement range and the diameter of the hot wire at a certain accuracy. | Li Sufen(Department of Power Engineering ,NUAA 29 Yudao Street,Nanjing 210016,P.R.China) | 1994 | Transactions of Nanjing University of Aeronautics and Astronautics1994，11，2： | 0 |
| 19 | MODEL MEASUREMENT AND ANALYSIS OF ROTOR BEARING SYSTEM OF OE-SPINNING显示文摘This paper describes a CAD compatible software which can conduct model measurementand analysis on a dedicated computer system.This system which can provide modal testing andanalysis capability is also demonstrated briefly.It addresses four main tasks:(1)modal testingand data acquisition,(2)data analysis and correlation,(3)output of modal analysis results,(4)predictions of modal parameters using Structural Dynamic Modification (SDM)software. | 陈瑞琪 李谦 | 1989 | Journal of Donghua University(English Edition)1989，7，Z1： | 0 |
| 20 | DATA COMPRESSION FOR CHINESE CHARACTERS USING TRANSFORM RUNLENGTH CODING显示文摘In the transmission of two-tone images, one-dimensional run-length coding (ODRLC) is one of the most commonly used approaches. T. S. Huang and others have found that the compression ratio of ODRLC can be improved by coding the black run-length (BRL) and the white run-length (WRL) separately. But | 吴佑寿 朱夏宁 丁晓青 | 1989 | Chinese Science Bulletin1989，34，8： | 0 |
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