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Comprehensive Evaluation Method for Traffic Flow data quality Based on Grey Correlation Analysis and Particle Swarm Optimization

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Journal of Systems Science and Systems Engineering 2024年第1期33卷 106-128页

作者： Wei Ba Baojun Chen Qi Li School of Automation and Electrical Engineering Dalian Jiaotong UniversityDalian116028China Faculty of Electronic Information and Electrical Engineering Dalian University of TechnologyDalian116023China

Nowadays,data are more and more used for intelligent modeling and prediction,and the comprehensive evaluation of data quality is getting more and more attention as a necessary means to measure whether the data are usable or ***,the comprehensive evaluation method of data quality mostly contains the subjective factors of the evaluator,so how to comprehensively and objectively evaluate the data has become a bottleneck that needs to be solved in the research of comprehensive evaluation *** order to evaluate the data more comprehensively,objectively and differentially,a novel comprehensive evaluation method based on particle swarm optimization(PSO)and grey correlation analysis(GCA)is presented in this *** first,an improved GCA evaluation model based on the technique for order preference by similarity to an ideal solution(TOPSIS)is ***,an objective function model of maximum difference of the comprehensive evaluation values is built,and the PSO algorithm is used to optimize the weights of the improved GCA evaluation model based on the objective function ***,the performance of the proposed method is investigated through parameter analysis.A performance comparison of traffic flow data is carried out,and the simulation results show that the maximum average difference between the evaluation results and its mean value(MDR)of the proposed comprehensive evaluation method is 33.24%higher than that of TOPSIS-GCA,and 6.86%higher than that of *** proposed method has better differentiation than other methods,which means that it objectively and comprehensively evaluates the data from both the relevance and differentiation of the data,and the results more effectively reflect the differences in data quality,which will provide more effective data support for intelligent modeling,prediction and other applications.

关键词： data quality comprehensive evaluation particle swarm optimization grey correlation analysis traffic flow data

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data quality evaluation and calibration of on-road remote sensing systems based on exhaust plumes

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Journal of Environmental Sciences 2023年第1期123卷 317-326页

作者： Shijie Liu Xinlu Zhang Linlin Ma Liqiang He Shaojun Zhang Miaomiao Cheng State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China Institute of Atmospheric Environment Chinese Research Academy of Environmental SciencesBeijing 100012China School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing 100084China

In recent years,with rapid increases in the number of vehicles in China,the contribution of vehicle exhaust emissions to air pollution has become increasingly *** achieve the precise control of emissions,on-road remote sensing(RS)technology has been developed and applied for law enforcement and ***,data quality is still an existing issue affecting the development and application of *** this study,the RS data from a cross-road RS system used at a single site(from 2012 to 2015)were collected,the data screening process was reviewed,the issues with data quality were summarized,a new method of data screening and calibration was proposed,and the effectiveness of the improved data quality control methods was finally *** results showed that this method reduces the skewness and kurtosis of the data distribution by up to nearly 67%,which restores the actual characteristics of exhaust diffusion and is conducive to the identification of actual clean and high-emission *** annual variability of emission factors of nitric oxide decreases by 60%-on average-eliminating the annual drift of fleet emissions and improving data reliability.

关键词： On-road remote sensing(RS) data quality Spearman rank correlation Least-square regression with a non-zero intercept Cook value

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data quality issues for synchrophasor applications PartⅠ:a review

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Journal of Modern Power Systems and Clean Energy 2016年第3期4卷 342-352页

作者： Can HUANG Fangxing LI Dao ZHOU Jiahui GUO Zhuohong PAN Yong LIU Yilu LIU Department of Electrical Engineering and Computer Science The University of TennesseeKnoxvilleTN 37996USA

Synchrophasor systems, providing low-latency,high-precision, and time-synchronized measurements to enhance power grid performances, are deployed ***, the synchrophasor system as a physical network,involves communication constraints and data quality issues, which will impact or even disable certain synchrophasor applications. This work investigates the data quality issue for synchrophasor applications. In Part I, the standards of synchrophasor systems and the classifications and data quality requirements of synchrophasor applications are reviewed. Also, the actual events of synchronization signal accuracy, synchrophasor data loss, and latency are counted and analyzed. The review and statistics are expected to provide an overall picture of data accuracy,loss, and latency issues for synchrophasor applications.

关键词： Synchrophasor system Synchrophasor application data quality data accuracy data loss Latency

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OpenStreetMap data quality enrichment through awareness raising and collective action tools——experiences from a European project

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Geo-Spatial Information Science 2018年第3期21卷 234-246页

作者： Amin Mobasheri Alexander Zipf Louise Francis GIScience Research Group Institute of GeographyHeidelberg UniversityHeidelbergGermany Mapping for Change(Co.Ltd.) LondonUnited Kingdom

Nowadays,several research projects show interest in employing volunteered geographic information(VGI)to improve their systems through using up-to-date and detailed *** European project CAP4Access is one of the successful examples of such international-wide research projects that aims to improve the accessibility of people with restricted mobility using crowdsourced *** this project,OpenStreetMap(OSM)is used to extend OpenRouteService,a well-known routing ***,a basic challenge that this project tackled was the incompleteness of OSM data with regards to certain information that is required for wheelchair accessibility(*** information,kerb data,etc.).In this article,we present the results of initial assessment of sidewalk data in OSM at the beginning of the project as well as our approach in awareness raising and using tools for tagging accessibility data into OSM database for enriching the sidewalk data *** experiments have been carried out in different European cities,and discussion on the results of the experiments as well as the lessons learned are *** lessons learned provide recommendations that help in organizing better mapping party events in the *** conclude by reporting on how and to what extent the OSM sidewalk data completeness in these study areas have benefited from the mapping parties by the end of the project.

关键词： Accessibility OpenStreetMap(OSM) data quality data completeness sidewalk wheel map

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Novel method for the evaluation of data quality based on fuzzy control

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Journal of Systems Engineering and Electronics 2008年第3期19卷 606-610页

作者： Ban Xiaojuan Ning Shurong Xu Zhaolin Cheng Peng School of Information Engineering Univ. of Science & Technology Beijing Beijing 100083 P. R. China Beijing Inst. of Electronic System Engineering Beijing 100854 P. R. China

One of the goals of data collection is preparing for decision-making, so high quality requirement must be satisfied. Rational evaluation of data quality is an effective way to identify data problem in time, and the quality of data after this evaluation is satisfactory with the requirement of decision maker. A fuzzy neural network based research method of data quality evaluation is proposed. First, the criteria for the evaluation of data quality are selected to construct the fuzzy sets of evaluating grades, and then by using the learning ability of NN, the objective evaluation of membership is carried out, which can be used for the effective evaluation of data quality. This research has been used in the platform of ＇data report of national compulsory education outlay guarantee＇ from the Chinese Ministry of Education. This method can be used for the effective evaluation of data quality worldwide, and the data quality situation can be found out more completely, objectively, and in better time by using the method.

关键词： data quality evaluation system fuzzy control theory neural network.

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Improvement of Wired Drill Pipe data quality via data Validation and Reconciliation

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International Journal of Automation and computing 2018年第5期15卷 625-636页

作者： Dan Sui Olha Sukhoboka Bernt Sigve Aadn?y Petroleum Engineering Department University of Stavanger

Wired drill pipe（WDP）technology is one of the most promising data acquisition technologies in today s oil and gas *** the first time it allows sensors to be positioned along the drill string which enables collecting and transmitting valuable data not only from the bottom hole assembly（BHA）,but also along the entire length of the wellbore to the drill *** technology has received industry acceptance as a viable alternative to the typical logging while drilling（LWD）*** more and more WDP applications can be found in the challenging drilling environments around the world,leading to many innovations to the *** most of the data acquired from WDP can be noisy and in some circumstances of very poor *** factors contribute to the poor data *** common sources include mis-calibrated sensors,sensor drifting,errors during data transmission,or some abnormal conditions in the well,*** challenge of improving the data quality has attracted more and more focus from many researchers during the past *** paper has proposed a promising solution to address such challenge by making corrections of the raw WDP data and estimating unmeasurable parameters to reveal downhole *** advanced data processing method,data validation and reconciliation（DVR）has been employed,which makes use of the redundant data from multiple WDP sensors to filter/remove the noise from the measurements and ensures the coherence of all sensors and *** it has the ability to distinguish the accurate measurements from the inaccurate *** addition,the data with improved quality can be used for estimating some crucial parameters in the drilling process which are unmeasurable in the first place,hence provide better model calibrations for integrated well planning and realtime operations.

关键词： data quality wired drill pipe (WDP) data validation and reconciliation (DVR) drilling models.

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Digital Continuity Guarantee Approach of Electronic Record Based on data quality Theory

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Computers, Materials & Continua 2020年第6期63卷 1471-1483页

作者： Yongjun Ren Jian Qi Yaping Cheng Jin Wang Osama Alfarraj School of Computer and Software Engineering Research Center of Digital ForensicsMinistry of EducationNanjing University of Information Science&TechnologyNanjing210044China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China School of Computer&Communication Engineering Changsha University of Science&TechnologyChangsha410114China Computer Science Department Community CollegeKing Saud UniversityRiyadh11437Saudi Arabia

Since the British National Archive put forward the concept of the digital continuity in 2007,several developed countries have worked out their digital continuity action ***,the technologies of the digital continuity guarantee are still *** first,this paper analyzes the requirements of digital continuity guarantee for electronic record based on data quality theory,then points out the necessity of data quality guarantee for electronic ***,we convert the digital continuity guarantee of electronic record to ensure the consistency,completeness and timeliness of electronic record,and construct the first technology framework of the digital continuity guarantee for electronic ***,the temporal functional dependencies technology is utilized to build the first integration method to insure the consistency,completeness and timeliness of electronic record.

关键词： Electronic record digital continuity data quality

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A novel method for evaluating and improving the 1H-MRSI glioma data quality

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Progress in Natural Science:Materials International 2005年第8期15卷 765-768页

作者： YUAN Kehong 1,2, LU Hongyu2, BAO Shanglian2*, CHEN Qiansheng1, LI Shaowu3 and DUAN Chaijie2(1. Key Laboratory of Pure and Applied Mathematics, School of Mathematical Sciences, Beijing 100871, China 2. The Research Center for Tumor Diagnosis and Therapeutical Physics & the Beijing Key Laboratory of Medical Physics and Engineering, Peking University, Beijing 100871, China 3. The Tian Tan Hospital, Beijing 100050, China) Key Laboratory of Pure and Applied Mathematics School of Mathematical Sciences Beijing 100871 China Beijing Key Laboratory of Medical Physics and Engineering Research Center for Tumor Diagnosis and Therapeutical Physics Peking University Beijing 100871 China Tian Tan Hospital Beijing 100050 China

Metabolic information obtained by proton magnetic resonance spectroscopic imaging (1H-MRSI) has been approved to be a powerful tool to identify either benign or malignant glioma, as well as to confirm the tumor level. However, 1H-MRSI data are affected by various factors, such as the thermal noise, eddy currents, susceptibility artifacts, and rigid body motion. To get accurate quantitative metabolic information, the key problem is to assess the 1H-MRSI data quality. In this paper, we introduce a new evaluating system to filter the data, and a new method, called wavelet denoising method, to improve the data quality under the evaluating system. Experimental results on 1H-MRSI glioma data demonstrate that preprocessing is prerequisite and the proposed algorithm with evaluating system is effective.

关键词： 1H-MRSI evaluating system glioma data quality wavelet denoising

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Impact of data quality on Question Answering System Performances

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Intelligent Automation & Soft Computing 2023年第1期35卷 335-349页

作者： Rachid Karra Abdelali Lasfar LASTIMI Laboratory Mohammadia School of EngineersMohammed V University in RabatMorocco

In contrast with the research of new models,little attention has been paid to the impact of low or high-quality data feeding a dialogue *** present paper makes thefirst attempt tofill this gap by extending our previous work on question-answering(QA)systems by investigating the effect of misspelling on QA agents and how context changes can enhance the *** of using large language models trained on huge datasets,we propose a method that enhances the model's score by modifying only the quality and structure of the data feed to the *** is important to identify the features that modify the agent performance because a high rate of wrong answers can make the students lose their interest in using the QA agent as an additional tool for distant *** results demonstrate the accuracy of the proposed context simplification exceeds 85%.Thesefindings shed light on the importance of question data quality and context complexity construct as key dimensions of the QA *** conclusion,the experimental results on questions and contexts showed that controlling and improving the various aspects of data quality around the QA system can significantly enhance his robustness and performance.

关键词： dataOps data quality QA system nlp context simplification

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Calibration and data quality Analysis with Mobile C-Band Polarimetric Radar

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Acta meteorologica Sinica 2010年第4期24卷 501-509页

作者：刘黎平胡志群方文贵葛润生陈晓辉曹俊武 State Key Laboratory of Severe Weather Chinese Academy of Meteorological Sciences Anhui Sun Create Electronics CO.LTD

A C-band mobile polarimetric radar with simultaneous horizontal and vertical transmission was built in the State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences. It was used in heavy rainfall and typhoon observations in 2008. It is well-known that radar calibration is essential and critical to high quality radar data and products. In this paper, the test and weather signals were used in calibration of reflectivity ZH, differential reflectivity ZDR and differential phase ФDP. Noise effects on correlation coefficient ρHV at low signal-noise-ratio （SNR） were analyzed. The polarimetric radar data for a heavy rain and a snow event were inspected to evaluate the performance of the calibration method and radar data quality, and S-band Doppler radar data were used to validate the refiectivity data quality collected by the polarimetric radar. The results show that the polarimetric and S-band Doppler radars have observed comparable reflectivity values and a similar structure of a heavy rainfall case at middle and low levels. The mismatch of two receivers produce obvious ZDR biases, which were verified by the radar data observed at vertical incidence. The ZDR correction improved the radar data quality. The usage range for PHV was defined. Application of the calibration method introduced in this paper can reduce the system biases caused by the difference of horizontal （H） and vertical （V） channels. After the calibration and correction, the polarimetric parameters observed by the polarimetric radar could be used in further relevant researches.

关键词： polarimetric radar system bias calibration and correction data quality

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