Distance-based relative orbital elements determination for formation flying system

He, Yongfeng; Xu, Ming; Chen, Xi

doi:10.1016/j.actaastro.2015.10.004

Cited by 9 publications

(1 citation statement)

References 19 publications

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“…Assuming there are two data units and each unit contains m items, the data units can be regarded as two points in an m-dimensional space. The distance between the two points can describe the deviation between two data units [27]. Here, d ij denotes the deviation between data unit i and data unit j. Deviation should meet the following conditions:…”

Section: Calculation Of C V Based On Deviationmentioning

confidence: 99%

Data Consistency Theory and Case Study for Scientific Big Data

Shi

Cui

et al. 2019

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Big data technique is a series of novel technologies to deal with large amounts of data from various sources. Unfortunately, it is inevitable that the data from different sources conflict with each other from the aspects of format, semantics, and value. To solve the problem of conflicts, the paper proposes data consistency theory for scientific big data, including the basic concepts, properties, and quantitative evaluation method. Data consistency can be divided into different grades as complete consistency, strong consistency, weak consistency, and conditional consistency according to consistency degree and application demand. The case study is executed on material creep testing data. The analysis results show that the theory can solve the problem of conflicts in scientific big data.

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Section: Calculation Of C V Based On Deviationmentioning

confidence: 99%