FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366189569> ?p ?o ?g. }

• W4366189569 abstract "Abstract Estimation of ore grade is very important for the value evaluation of ore deposits, and it directly affects the development of mineral resources. To improve the accuracy of the inverse distance weighting (IDW) method in ore grade estimation and reduce the smoothing effect of the IDW method in grade estimation, the weight calculation method involved in the IDW method was improved. The length parameter of the ore sample was used to calculate the weight of the IDW method. The length of the ore samples was used as a new factor of the weighting calculation. A new method of IDW integrated with sample length weighting (IDWW) was proposed. The grade estimation of Li, Al, and Fe in porcelain clay ore was used as a case study. A comparative protocol for grade estimation via the IDWW method was designed and implemented. The number of samples involved in the estimation, sample combination, sample grade distribution, and other factors affecting the grade estimation were considered in the experimental scheme. The grade estimation results of the IDWW and the IDW methods were used for comparative analysis of grades of the original and combined samples. The estimated results of the IDWW method were also compared with those of the IDW method. The deviation analysis of the estimated grade mainly included the minimum, maximum, mean, and coefficient of variation of the ore grade. The estimation effect of IDWW method was verified. The minimum deviations of the estimated grade of Li, Al, and Fe were between 9.129% and 59.554%. The maximum deviations were between 4.210 and 22.375%. The mean deviations were between − 1.068 and 7.187%. The deviations in the coefficient of variation were between 3.076 and 36.186%. The deviations in the maximum, minimum, mean, and coefficients of variation of the IDWW were consistent with those of the IDW, demonstrating the accuracy and stability of the IDWW method. The more the samples involved in the estimation, the greater the estimation deviations of IDW and IDWW methods. The estimated deviations of Li, Al, and Fe were affected by the shape of the grade distribution, when the same estimation parameters were used. The grade distribution pattern of the samples significantly influenced the grade estimation results. The IDWW method offers significant theoretical advantages and addresses the adverse effects of uneven sample lengths on the estimates. The IDWW method can effectively reduce the smoothing effect and improves the utilization efficiency of the original samples." @default.
• W4366189569 created "2023-04-19" @default.
• W4366189569 creator A5025014103 @default.
• W4366189569 creator A5067570023 @default.
• W4366189569 creator A5074777165 @default.
• W4366189569 creator A5084501114 @default.
• W4366189569 creator A5089431028 @default.
• W4366189569 date "2023-04-17" @default.
• W4366189569 modified "2023-09-26" @default.
• W4366189569 title "A new method for estimating ore grade based on sample length weighting" @default.
• W4366189569 cites W1507700505 @default.
• W4366189569 cites W1993894234 @default.
• W4366189569 cites W2003938839 @default.
• W4366189569 cites W2009810657 @default.
• W4366189569 cites W2013484195 @default.
• W4366189569 cites W2050757323 @default.
• W4366189569 cites W2106572566 @default.
• W4366189569 cites W2145372548 @default.
• W4366189569 cites W2739466845 @default.
• W4366189569 cites W2786510741 @default.
• W4366189569 cites W2790913225 @default.
• W4366189569 cites W2808172389 @default.
• W4366189569 cites W2905318181 @default.
• W4366189569 cites W2921476833 @default.
• W4366189569 cites W2927197241 @default.
• W4366189569 cites W2995699880 @default.
• W4366189569 cites W2996922895 @default.
• W4366189569 cites W3012140005 @default.
• W4366189569 cites W3016786260 @default.
• W4366189569 cites W3018260187 @default.
• W4366189569 cites W3018470681 @default.
• W4366189569 cites W3021400550 @default.
• W4366189569 cites W3042094777 @default.
• W4366189569 cites W3109270945 @default.
• W4366189569 cites W3123672120 @default.
• W4366189569 cites W3148578947 @default.
• W4366189569 cites W3185173091 @default.
• W4366189569 cites W3194650411 @default.
• W4366189569 cites W4200096666 @default.
• W4366189569 cites W4213267237 @default.
• W4366189569 cites W4214517466 @default.
• W4366189569 cites W4214856645 @default.
• W4366189569 cites W4220717949 @default.
• W4366189569 cites W4220744046 @default.
• W4366189569 cites W4220821820 @default.
• W4366189569 cites W4221115393 @default.
• W4366189569 cites W4224006810 @default.
• W4366189569 cites W4224298296 @default.
• W4366189569 cites W4281254599 @default.
• W4366189569 cites W4281485651 @default.
• W4366189569 cites W4283828136 @default.
• W4366189569 cites W4286560889 @default.
• W4366189569 cites W4289655732 @default.
• W4366189569 cites W4294526980 @default.
• W4366189569 cites W4312694248 @default.
• W4366189569 cites W585797991 @default.
• W4366189569 doi "https://doi.org/10.1038/s41598-023-33509-0" @default.
• W4366189569 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37069285" @default.
• W4366189569 hasPublicationYear "2023" @default.
• W4366189569 type Work @default.
• W4366189569 citedByCount "0" @default.
• W4366189569 crossrefType "journal-article" @default.
• W4366189569 hasAuthorship W4366189569A5025014103 @default.
• W4366189569 hasAuthorship W4366189569A5067570023 @default.
• W4366189569 hasAuthorship W4366189569A5074777165 @default.
• W4366189569 hasAuthorship W4366189569A5084501114 @default.
• W4366189569 hasAuthorship W4366189569A5089431028 @default.
• W4366189569 hasBestOaLocation W43661895691 @default.
• W4366189569 hasConcept C105795698 @default.
• W4366189569 hasConcept C120934525 @default.
• W4366189569 hasConcept C126838900 @default.
• W4366189569 hasConcept C127413603 @default.
• W4366189569 hasConcept C129848803 @default.
• W4366189569 hasConcept C183115368 @default.
• W4366189569 hasConcept C185592680 @default.
• W4366189569 hasConcept C198531522 @default.
• W4366189569 hasConcept C201995342 @default.
• W4366189569 hasConcept C203332170 @default.
• W4366189569 hasConcept C205203396 @default.
• W4366189569 hasConcept C22679943 @default.
• W4366189569 hasConcept C33923547 @default.
• W4366189569 hasConcept C3770464 @default.
• W4366189569 hasConcept C43617362 @default.
• W4366189569 hasConcept C47872207 @default.
• W4366189569 hasConcept C71924100 @default.
• W4366189569 hasConcept C96250715 @default.
• W4366189569 hasConceptScore W4366189569C105795698 @default.
• W4366189569 hasConceptScore W4366189569C120934525 @default.
• W4366189569 hasConceptScore W4366189569C126838900 @default.
• W4366189569 hasConceptScore W4366189569C127413603 @default.
• W4366189569 hasConceptScore W4366189569C129848803 @default.
• W4366189569 hasConceptScore W4366189569C183115368 @default.
• W4366189569 hasConceptScore W4366189569C185592680 @default.
• W4366189569 hasConceptScore W4366189569C198531522 @default.
• W4366189569 hasConceptScore W4366189569C201995342 @default.
• W4366189569 hasConceptScore W4366189569C203332170 @default.
• W4366189569 hasConceptScore W4366189569C205203396 @default.
• W4366189569 hasConceptScore W4366189569C22679943 @default.
• W4366189569 hasConceptScore W4366189569C33923547 @default.
• W4366189569 hasConceptScore W4366189569C3770464 @default.

• next