A Canceling Noise Research for Underground Mine Powerline Carrier Communication Based on Adaptive Theory

Wei, Shaoliang; Cao, Jialin; Chen, Yimin; Cheng, Fengyu; Nie, Deming; Li, Hengwen

doi:10.1109/peits.2008.12

Cited by 5 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As shown in Figure 5, the variation analysis of two yuan can be more obvious the spatial variation of soil nutrients [11]. When the multivariate nutrient is carried out multivariate variability buffer, we can analyze nutrient variability buffer for the whole of soil sample collection point.…”

Section: Nutrient J 1 0 Summentioning

confidence: 99%

Research on the Spatial Variability of Soil Nutrients Prediction Based on GIS

Qin

2013

AMR

View full text Add to dashboard Cite

Soil is a necessary nutrition library of crop growth, its nutrient spatial variability exists the whole crop growth period with the characteristics of long and complex, so the spatial variability of soil nutrient prediction is one of the hot research problems to be urgently solved in precision agriculture. This paper first introduces GIS and statistical analysis organic combination of research method and model, on the basis of this, based on GIS spatial data level of analysis and point-line-side buffer, we will accurate analysis of point-line-sides mutation interval through the variation Euclidean distance and distance weighting interpolation method. Finally through the comparison of mean value and T test, we can predict the approximate interval of soil nutrients spatial variability, to a certain extent, it can provide theory and technology support for the scientific prediction of soil nutrients spatial variability.

show abstract

Section: Nutrient J 1 0 Summentioning

confidence: 99%

Research on the Spatial Variability of Soil Nutrients Prediction Based on GIS

Qin

2013

AMR

View full text Add to dashboard Cite

show abstract

“…(2) Pattern recognition When people see an object or phenomenon, by collecting the information of the object or phenomenon, comparing its characteristics with the relevant information already in the mind, finding a same or similar match, then the object or phenomenon can be identified come out. Therefore, an object or phenomenon [12].…”

Section: The Principle Of Intelligent Diagnosis Technologymentioning

confidence: 99%