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| 1 | Research on network integration technology of observation stations显示文摘According to the phenomenon of 'four more'and'four low 'problems in the observation stations,the surface-based meteorological observing system can't adapt to the change of the adaptive observation equipment and reduce of business intensification. A station integrated system is proposed,w hich can be configured,connected and extended to all kinds of observation equipment. And the integrated processor is designed,supporting a variety of communication interface standards. Flexible configuration,connection and expansion betw een conventional and new type of meteorological observation equipment are supported. It is capable for online calibration and maintenance of observation equipment. The effectiveness of automatic observation equipment is totally achieved to provide basic information support for disaster prevention and mitigation and national economic development. | ZHAN Yanjun MA Shangchang ZHUANG Ting ZHANG Sujuan | 2015 | Instrumentation2015，2，3： | 15 |
| 2 | Survey on synchrophasor data quality and cybersecurity challenges, and evaluation of their interdependencies显示文摘Synchrophasor devices guarantee situation awareness for real-time monitoring and operational visibility of smart grid. With their widespread implementation,significant challenges have emerged, especially in communication, data quality and cybersecurity. The existing literature treats these challenges as separate problems,when in reality, they have a complex interplay. This paper conducts a comprehensive review of quality and cybersecurity challenges for synchrophasors, and identifies the interdependencies between them. It also summarizes different methods used to evaluate the dependency and surveys how quality checking methods can be used to detect potential cyberattacks. | Aditya SUNDARARAJAN Tanwir KHAN Amir MOGHADASI Arif I.SARWAT | 2019 | Journal of Modern Power Systems and Clean Energy2019，7，3： | 12 |
| 3 | Deeper Chemical Perceptions for Better Traditional Chinese Medicine Standards显示文摘Traditional Chinese medicines (TCMs), a complex system of natural resources with many diverse components, are widely used as approved medicinal agents in China. Quality control of TCMs is a huge challenge for the government and for testing institutes and is associated with numerous scientific issues. Among these considerations include the following questions: How many components are in TCMs? How can the multiple components in TCMs be comprehensively delineated and subsequently characterized? What is the level and range of these (active) metabolites within these multiple-component TCMs, in order to recommend standards? and What are the qualities required for a marker constituent to be selected, and from a practical perspective, how can these components be assessed with low cost and in a short time? All of these factors require significant and deep thinking in order to understand the individualistic chemistry of TCM in order to develop enhanced TCM quality standards for improved and consistent patient care. In this review, the latest exploratory research in TCM chemistry analytical techniques and methods is summarized in order to begin to develop responses to these scientific issues. Advances in these methods have included multidimensional separation for liquid chromatography–high-resolution mass spectrometry (LC–HRMS), smart triggering data-dependent acquisition of LC–HRMS, target analysis with liquid chromatography–mass spectrometry (LC–MS), supercritical fluid chromatography, and data mining of large mass spectrometry (MS) datasets. In addition, two quality strategies have been introduced in order to save reference standards and the analysis time for a TCM quality standard, including the application of the single standard to determine multi-components (SSDMC) and monomethodheterotrait matrix methods. Finally, a series of future improvements for analytical methods for TCMs are proposed. | Jin-Jun Hou Jian-Qing Zhang Chang-Liang Yao Rudolf Bauer Ikhlas A. Khan Wan-Ying Wu De-an Guo | 2019 | Engineering2019，5，1： | 9 |
| 4 | Research and development of Chinese LCA database and LCA software显示文摘This paper detailed introduces the related work for building Chinese National Database, Sinocenter, of materials life cycle assessment (MLCA) and developing the environmental burden dataset of materials. The MLCA database was built in 2004, and the basic framework mainly includes LCA methodology, materials environmental dataset about energy consumption, resource input and environmental emissions. Nowadays, the database contains about fifty-thousand records of the main materials industries, such as cement, iron and steel, nonferrous metal, etc., and also includes the primary LCI data of fossil fuels and electricity grid in China. At the same time, the LCA method localization work is going on, for instance, calculated the resource characterization factors of 42 kinds of metal and 58 sorts of nonmetal, and also obtained some heavy metal impact factors in water. Based on the database, the iron and steel dataset has been developed with the data quality analysis, and some environmental burden data could be queried in our website, www.cnmlca.com, in the future. Lastly, according to the framework of the ISO14040 series standards, the antitype of Chinese LCA evaluation system was developed to support materials and products LCA evaluation in China. | GONG Xianzheng NIE Zuoren Wang Zhihong ZUO Tieyong | 2006 | Rare Metals2006，25，z2： | 8 |
| 5 | Quality control of marine big data——a case study of real-time observation station data in Qingdao显示文摘Offshore waters provide resources for human beings,while on the other hand,threaten them because of marine disasters.Ocean stations are part of offshore observation networks,and the quality of their data is of great significance for exploiting and protecting the ocean.We used hourly mean wave height,temperature,and pressure real-time observation data taken in the Xiaomaidao station(in Qingdao,China)from June 1,2017,to May 31,2018,to explore the data quality using eight quality control methods,and to discriminate the most effective method for Xiaomaidao station.After using the eight quality control methods,the percentages of the mean wave height,temperature,and pressure data that passed the tests were 89.6%,88.3%,and 98.6%,respectively.With the marine disaster(wave alarm report)data,the values failed in the test mainly due to the influence of aging observation equipment and missing data transmissions.The mean wave height is often affected by dynamic marine disasters,so the continuity test method is not effective.The correlation test with other related parameters would be more useful for the mean wave height. | QIAN Chengcheng LIU Aichao HUANG Rui LIU Qingrong XU Wenkun ZHONG Shan YU Le | 2019 | Journal of Oceanology and Limnology2019，37，6： | 6 |
| 6 | Modeling uncertainty in geographic information and analysis显示文摘Uncertainty modeling and data quality for spatial data and spatial analyses are im-portant topics in geographic information science together with space and time in geography,as well as spatial analysis. In the past two decades,a lot of efforts have been made to research the uncertainty modeling for spatial data and analyses. This paper presents our work in the research. In particular,four progresses in the re-search are given out: (a) from determinedness-to uncertainty-based representation of geographic objects in GIS; (b) from uncertainty modeling for static data to dy-namic spatial analyses; (c) from modeling uncertainty for spatial data to models; and (d) from error descriptions to quality control for spatial data. | SHI WenZhong Advanced Research Centre for Spatial Information Technology,Department of Land Surveying and Geo-Informatics,the Hong Kong Polytechnic University,Hung Hom,Kowloon,Hong Kong,China | 2008 | Science China(Technological Sciences)2008，51，S1： | 6 |
| 7 | Quality Control and Evaluation of the Observed Daily Data in the North American Soil Moisture Database显示文摘The North American Soil Moisture Database (NASMD) was initiated in 2011 to assemble and homogenize in situ soil moisture measurements from 32 observational networks in the United States and Canada encompassing more than 1800 stations. Although statistical quality control (QC) procedures have been applied in the NASMD, the soil moisture content tends to be systematically underestimated by in situ sensors in frozen soils, and using a single maximum threshold (i.e., 0.6 m3 m-3) may not be sufficient for robust QC because of the diverse soil textures in North America. In this study, based on the in situ soil porosity and North American Land Data Assimilation System phase 2 (NLDAS-2) Noah soil temperature, the simple automated QC method is revised to supplement the existing QC approach. This revised QC method is first validated based on the assessment at 78 of the Soil Climate Analysis Network (SCAN) stations where the manually checked data are available, and is then applied to all stations in the NASMD to produce a more strict quality-controlled dataset. The results show that the revised automated QC procedure can flag the spurious and erroneous soil moisture measurements for the SCAN stations, especially for those located in high altitudes and latitudes. Relative to station measurements in the original NASMD, the quality-controlled data show a slightly better agreement with the manually checked soil moisture content. It should be noted that this quality-controlled dataset may be over-flagged for some valid soil moisture measurements due to potential errors of the soil temperature and soil porosity data, and validation in this study is limited by the availability of benchmark soil moisture data. The updated QC and additional validation will be desirable to boost confidence in the product when high-quality data become available in the future. | Weilin LIAO Dagang WANG Guiling WANG Youlong XIA Xiaoping LIU | 2019 | Journal of Meteorological Research2019，33，3： | 4 |
| 8 | Study on the quality evaluation metrics for compressed spaceborne hyperspectral data显示文摘Based on the raw data of spaceborne dispersive and interferometry imaging spectrometer,a set of quality evaluation metrics for compressed hyperspectral data is initially established in this paper.These quality evaluation metrics,which consist of four aspects including compression statistical distortion,sensor performance evaluation,data application performance and image quality,are suited to the comprehensive and systematical analysis of the impact of lossy compression in spaceborne hyperspectral remote sensing data quality.Furthermore,the evaluation results would be helpful to the selection and optimization of satellite data compression scheme. | LI Xiaohui ZHANG Jing LI Chuanrong LIU Yi LI Ziyang ZHU Jiajia ZENG Xiangzhao | 2015 | Instrumentation2015，2，1： | 3 |
| 9 | Constructing Large Scale Cohort for Clinical Study on Heart Failure with Electronic Health Record in Regional Healthcare Platform:Challenges and Strategies in Data Reuse显示文摘Regional healthcare platforms collect clinical data from hospitals in specific areas for the purpose of healthcare management.It is a common requirement to reuse the data for clinical research.However,we have to face challenges like the inconsistence of terminology in electronic health records (EHR) and the complexities in data quality and data formats in regional healthcare platform.In this paper,we propose methodology and process on constructing large scale cohorts which forms the basis of causality and comparative effectiveness relationship in epidemiology.We firstly constructed a Chinese terminology knowledge graph to deal with the diversity of vocabularies on regional platform.Secondly,we built special disease case repositories (i.e.,heart failure repository) that utilize the graph to search the related patients and to normalize the data.Based on the requirements of the clinical research which aimed to explore the effectiveness of taking statin on 180-days readmission in patients with heart failure,we built a large-scale retrospective cohort with 29647 cases of heart failure patients from the heart failure repository.After the propensity score matching,the study group (n=6346) and the control group (n=6346) with parallel clinical characteristics were acquired.Logistic regression analysis showed that taking statins had a negative correlation with 180-days readmission in heart failure patients.This paper presents the workflow and application example of big data mining based on regional EHR data. | Daowen Liu Liqi Lei Tong Ruan Ping He | 2019 | Chinese Medical Sciences Journal2019，34，2： | 2 |
| 10 | Site selection and data processing of GNSS receiver calibration networks based on TEQC and GAMIT显示文摘This study introduces the site selection and data processing of GNSS receiver calibration networks. According to the design requirements and relevant specifications, the authors investigate the observation conditions of the potential sites and collect the experimental GNSS observation data. TEQC is used to evaluate the data availability rate and multipath effects of the observation data to determine the appropriate site. After the construction and measurement of the calibration network, the baseline processing of the medium and long baseline network is conducted by GAMIT. The accuracy indexes including NRMS, difference between repeated baselines, and closure of independent observation loops all meet the specified criteria. | ZHOU Changjie MAO Jiuchang WANG Hongyao WU Qiong | 2019 | Global Geology2019，22，2： | 2 |
| 11 | Implicit Shape Reconstruction of Unorganized Points Using PDE-Based Deformable 3D Manifolds显示文摘In this work we consider the problem of shape reconstruction from an unorganized data set which has many important applications in medical imaging, scientific computing, reverse engineering and geometric modelling. The reconstructed surface is obtained by continuously deforming an initial surface following the Partial Differential Equation (PDE)-based diffusion model derived by a minimal volume-like variational formulation. The evolution is driven both by the distance from the data set and by the curvature analytically computed by it. The distance function is computed by implicit local interpolants defined in terms of radial basis functions. Space discretization of the PDE model is obtained by finite co-volume schemes and semi-implicit approach is used in time/scale. The use of a level set method for the numerical computation of the surface reconstruction allows us to handle complex geometry and even changing topology,without the need of user-interaction. Numerical examples demonstrate the ability of the proposed method to produce high quality reconstructions. Moreover, we show the effectiveness of the new approach to solve hole filling problems and Boolean operations between different data sets. | Elena Franchini Serena Morigi Fiorella Sgallari | 2010 | Numerical Mathematics(Theory,Methods and Applications)2010，3，4： | 2 |
| 12 | A framework for investigating the air quality variation characteristics based on the monitoring data: Case study for Beijing during 2013–2016显示文摘In this study, an analysis framework based on the regular monitoring data was proposed for investigating the annual/inter-annual air quality variation and the contributions from different factors(i.e., seasons, pollution periods and airflow directions), through a case study in Beijing from 2013 to 2016. The results showed that the annual mean concentrations(MC) of PM_(2.5), SO_2, NO_2 and CO had decreased with annual mean ratios of 7.5%, 28.6%, 4.6%and 15.5% from 2013 to 2016, respectively. Among seasons, the MC in winter contributed the largest fractions(25.8%~46.4%) to the annual MC, and the change of MC in summer contributed most to the inter-annual MC variation(IMCV) of PM_(2.5) and NO2. For different pollution periods, gradually increase of frequency of S-1(PM_(2.5), 0~ 75 μg/m^3) made S-1 become the largest contributor(28.8%) to the MC of PM_(2.5) in 2016, it had a negative contribution(-13.1%) to the IMCV of PM_(2.5); obvious decreases of frequencies of heavily polluted and severely polluted dominated(44.7% and 39.5%) the IMCV of PM_(2.5). For different airflow directions, the MC of pollutants under the south airflow had the most significant decrease(22.5%~62.5%), and those decrease contributed most to the IMCV of PM_(2.5)(143.3%),SO2(72.0%), NO_2(55.5%) and CO(190.3%); the west airflow had negative influences to the IMCV of PM_(2.5), NO_2 and CO. The framework is helpful for further analysis and utilization of the large amounts of monitoring data; and the analysis results can provide scientific supports for the formulation or adjustment of further air pollution mitigation policy. | Jixian Cui Jianlei Lang Tian Chen Shushuai Mao Shuiyuan Cheng Zhanshan Wang Nianliang Cheng | 2019 | Journal of Environmental Sciences2019，31，7： | 2 |
| 13 | The progress of laser ranging technology at Shanghai Astronomical Observatory显示文摘As an important station of International Laser Ranging Service(ILRS),Shanghai Astronomical Observatory(SHAO)has upgraded Satellite Laser Ranging(SLR)system with high repetition rate and achieved some technological progress,There are a lot of improvements for overall system performance,such as annual observation passes,measurement precision and quality of observation data.SLR technology with repetition rate of 10 kHz is accomplished firstly in China,and space debris laser ranging technology with200 Hz laser is promoted and proved to be more detective for weak echo,which lead to successful measurement for 40,000 km satellites and space debris within 3000 km.At the same time,SLR based on multi-telescopes and 1064 nm wavelength are planned to make a breakthrough of detection capabilities,and also to expand its application fields.These progresses will be introduced in this paper in detail. | Zhibo Wu Haifeng Zhang Huarong Deng Mingliang Long Zhien Cheng Zhongping Zhang Wendong Meng | 2019 | Geodesy and Geodynamics2019，10，6： | 1 |
| 14 | Artificial senses for characterization of food quality显示文摘Food quality is of primary concern in the food industry and to the consumer. Systems that mimic human senses have been developed and applied to the characterization of food quality. The five primary senses are: vision, hearing, smell, taste and touch. In the characterization of food quality, people assess the samples sensorially and differentiate “good”from “bad”on a continuum. However, the human sensory system is subjective, with mental and physical inconsistencies, and needs time to work. Artificial senses such as machine vision, the electronic ear, electronic nose, electronic tongue, artificial mouth and even artificial the head have been developed that mimic the human senses. These artificial senses are coordinated individually or collectively by a pat- tern recognition technique, typically artificial neural networks, which have been developed based on studies of the mechanism of the human brain. Such a structure has been used to formulate methods for rapid characterization of food quality. This research presents and discusses individual artificial sensing systems. With the concept of multi-sensor data fusion these sensor systems can work collectively in some way. Two such fused systems, artificial mouth and artificial head, are described and discussed. It indicates that each of the individual systems has their own artificially sensing ability to differentiate food samples. It further indicates that with a more complete mimic of human intelligence the fused systems are more powerful than the individual sys- tems in differentiation of food samples. | R.E. Lacey | 2004 | Journal of Bionic Engineering2004，1，3： | 1 |
| 15 | A PRELIMINARY STUDY ON THE QUALITY CONTROL METHOD FOR GUANGDONG GPS/PWV DATA AND ITS EFFECTS ON PRECIPITATION FORECASTS IN ITS ANNUALLY FIRST RAINING SEASON显示文摘We first analyzed GPS precipitable water vapor(GPS/PWV) available from a ground-based GPS observation network in Guangdong from 1 August 2009 to 27 August 2012 and then developed a method of quality control before GPS/PWV data is assimilated into the GRAPES 3DVAR system. This method can reject the outliers effectively. After establishing the criterion for quality control, we did three numerical experiments to investigate the impact on the precipitation forecast with and without the quality-controlled GPS/PWV data before they are assimilated into the system.In the numerical experiments, two precipitation cases(on 6 to 7 May, 2010 and 27 to 28 April, 2012 respectively) that occurred in the annually first raining season of Guangdong were selected. The results indicated that after quality control,only the GPS/PWV data that deviates little from the NCEP/PWV data can be assimilated into the system, has reasonable adjustment of the initial water vapor above Guangdong, and eventually improves the intensity and location of 24-h precipitation forecast significantly. | 李昊睿 丁伟钰 薛纪善 高郁东 张旭斌 黄华栋 | 2016 | Journal of Tropical Meteorology2016，22，4： | 1 |
| 16 | Improved K-means Algorithm for Manufacturing Process Anomaly Detection and Recognition显示文摘Anomaly detection and recognition are of prime importance in process industries.Faults are usually rare,and, therefore,predicting them is difficult.In this paper,a new greedy initialization method for the K-means algorithm is proposed to improve traditional K-means clustering techniques.The new initialization method tries to choose suitable initial points,which are well separated and have the potential to form high-quality clusters.Based on the clustering result of historical disqualification product data in manufacturing process which generated by the Improved-K-means algorithm,a prediction model which is used to detect and recognize the abnormal trend of the quality problems is constructed.This simple and robust alarm-system architecture for predicting incoming faults realizes the transition of quality problems from diagnosis afterward to prevention beforehand indeed.In the end,the alarm model was applied for prediction and avoidance of gear-wheel assembly faults at a gear-plant. | ZHOU Xiaomin~(1,2) PENG Wei~1 SHI Haibo~1 (1.Shenyang Institution of Automation Chinese Academy of Sciences,Shenyang 110016,China, 2.Graduate School,Chinese Academy of Sciences,Beijing 100039,China) | 2006 | 武汉理工大学学报2006，28，S3： | 1 |
| 17 | Sea surface temperature data from coastal observation stations:quality control and semidiurnal characteristics显示文摘Sea surface temperature(SST)data obtained from coastal stations in Jiangsu,China during 20102014 are quality controlled before analysis of their characteristic semidiurnal and seasonal cycles,including the correlation with the variation of the tide.Quality control of data includes the validation of extreme values and checking of hourly values based on temporally adjacent data points,with 0.15℃/h considered a suitable threshold for detecting abnormal values.The diurnal variation amplitude of the SST data is greater in spring and summer than in autumn and winter.The diurnal variation of SST has bimodal structure on most days,i.e.,SST has a significant semidiurnal cycle.Moreover,the semidiurnal cycle of SST is negatively correlated with the tidal data from March to August,but positively correlated with the tidal data from October to January.Little correlation is detected in the remaining months because of the weak coastal offshore SST gradients.The quality control and understanding of coastal SST data are particularly relevant with regard to the validation of indirect measurements such as satellite-derived data. | Hua Yang Qingqing Gao Huifeng Ji Peidong He Tianmao Zhu | 2019 | Acta Oceanologica Sinica2019，38，11： | 1 |
| 18 | Low-degree toroidal modes from the Sumatra-Andaman event observed by superconducting gravimeters显示文摘The complex frequencies of the low-degree toroidal modes are helpful in constraining the mantle structure.In the early years,the traditional method to detect the low-degree toroidal modes is seismic approach,which is primarily limited by the horizontal noise of seismometers.Recently,it has been proved that gravity method is competitive.Therefore,we re-estimated or newly estimated the complex frequencies of the toroidal modes below 1.5 mHz excited by the 2004 Sumatra-Andaman event using gravity method in this paper.The results show that(1)The quality factors of0 T5-0 T9 and1 T2-1 T3 are estimated from superconducting gravity data for the first time;(2)The estimated frequencies and quality factors for0 T2-0 T9 and1 T2-1 T3 are consistent with those provided by previous publications,which verifies the correctness and effectiveness of our estimations;(3)The maximum difference of frequencies between our results and those from CPREM is on the order of 0.01 mHz and the maximum difference of quality factors is at the level of 10. | Chuang Xu Hangtao Yu Guangyu Jian Shiqi Deng Boyang Zhou Yihao Wu | 2019 | Geodesy and Geodynamics2019，10，6： | 0 |
| 19 | The quality examination of observative data at Geomagnetic observatories显示文摘ThequalityexaminationofobservativedataatGeomagneticobservatoriesAn-LongCHENG(程安龙),Jin-PingZHOU(周锦屏),Yu-FenGAO(高玉芬)Xue-MinZHAO... | 程安龙 周锦屏 高玉芬 赵学敏 赵永芬 黄蔚北 | 1994 | Earthquake Science1994，7，S1： | 0 |
| 20 | TransCelerate: a global collaboration across biopharmaceutical R&D to accelerate and simplify new medicines development显示文摘As the economic pressures increase on healthcare systems around the world due to aging populations, chronic diseases, expanding patient populations in emerging markets and advances in medical technology, it is crucial that we focus on developing and delivering innovative and quality medicines with true medical value to patients around the world in a more collaborative, quality-focused and cost-effective manner. An important component to this mission across the biopharmaceutical industry is identifying and solving common issues that compromise the success of a clinical development program - the shared pathway to safer and more clinically meaningful medicines. However, subject recruitment challenges, data collection and follow-up issues, identification of high-quality trial sites, and lack of successfully achieving study timelines continue to stress clinical trial operations teams across companies. Although there has been progressing across this range of roadblocks by individual companies, the underlying economics continue to threaten the research and development (R&D) business model. Failure to solve these key issues will affect all parties involved in the clinical trial enterprise: patients, clinical investigators, health authorities, academia, tax-payers and the sponsor companies. The question remains whether a deep and broad collaborative effort that stretches across the clinical development arena-one that is charged with a common goal of improving quality, enhancing the investigator and patient experience, reducing costs and sharing data-can be a catalyst for success. With encouraging signs already realised, the operation of TransCelerate BioPharma Inc., a non-profit organisation created to improve the health of people around the world by accelerating and enhancing the R&D of innovative new therapies will test this premise. | Lynn Marks | 2015 | Journal of Medicines Development Sciences2015，1，1： | 0 |
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