Matches in SemOpenAlex for { <https://semopenalex.org/work/W759444932> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W759444932 endingPage "770" @default.
- W759444932 startingPage "759" @default.
- W759444932 abstract "본 논문은 신호와 잡음이 혼합된 관측치로부터 신호 관측치를 분류하는 문제를 다룬다. 잡음은 가우시안 분포를 따르고 신호는 감마 분포를 따른다고 가정할 때 관측치의 분포는 가우시안과 감마의 혼합 분포를 따르게 된다. EM 알고리즘을 통해 혼합 모델의 모수를 추정하고 신호 및 잡음을 분류하는 것을 다중 가설 검정으로 간주하여 베이즈 오류를 바탕으로 분류를 위한 경계치를 설정한다. 제안하는 방법을 분광 데이터에 근거하여 철강 제품에서 개재물 유무를 검출하는 문제에 적용하였고 별도의 시뮬레이션 데이터를 통해 성능의 우수성을 보였다. A problem of separating signals from noises is considered, when they are randomly mixed in the observation. It is assumed that the noise follows a Gaussian distribution and the signal follows a Gamma distribution, thus the underlying distribution of an observation will be a mixture of Gaussian and Gamma distributions. The parameters of the mixture model will be estimated from the EM algorithm. Then the signals and noises will be classified by a fixed threshold approach based on multiple testing using positive false discovery rate and Bayes error. The proposed method is applied to a real optical emission spectroscopy data for the quantitative analysis of inclusions. A simulation is carried out to compare the performance with the existing method using 3 sigma rule." @default.
- W759444932 created "2016-06-24" @default.
- W759444932 creator A5016824496 @default.
- W759444932 creator A5057000776 @default.
- W759444932 creator A5080155953 @default.
- W759444932 date "2009-08-31" @default.
- W759444932 modified "2023-10-17" @default.
- W759444932 title "Separating Signals and Noises Using Mixture Model and Multiple Testing" @default.
- W759444932 cites W2060786460 @default.
- W759444932 cites W2065386610 @default.
- W759444932 cites W2098722265 @default.
- W759444932 cites W2105381419 @default.
- W759444932 cites W2125905177 @default.
- W759444932 doi "https://doi.org/10.5351/kjas.2009.22.4.759" @default.
- W759444932 hasPublicationYear "2009" @default.
- W759444932 type Work @default.
- W759444932 sameAs 759444932 @default.
- W759444932 citedByCount "0" @default.
- W759444932 crossrefType "journal-article" @default.
- W759444932 hasAuthorship W759444932A5016824496 @default.
- W759444932 hasAuthorship W759444932A5057000776 @default.
- W759444932 hasAuthorship W759444932A5080155953 @default.
- W759444932 hasBestOaLocation W7594449321 @default.
- W759444932 hasConcept C105795698 @default.
- W759444932 hasConcept C107673813 @default.
- W759444932 hasConcept C110121322 @default.
- W759444932 hasConcept C11413529 @default.
- W759444932 hasConcept C115961682 @default.
- W759444932 hasConcept C121332964 @default.
- W759444932 hasConcept C134306372 @default.
- W759444932 hasConcept C149717495 @default.
- W759444932 hasConcept C153180895 @default.
- W759444932 hasConcept C154945302 @default.
- W759444932 hasConcept C163716315 @default.
- W759444932 hasConcept C207201462 @default.
- W759444932 hasConcept C33923547 @default.
- W759444932 hasConcept C41008148 @default.
- W759444932 hasConcept C61224824 @default.
- W759444932 hasConcept C62520636 @default.
- W759444932 hasConcept C99498987 @default.
- W759444932 hasConceptScore W759444932C105795698 @default.
- W759444932 hasConceptScore W759444932C107673813 @default.
- W759444932 hasConceptScore W759444932C110121322 @default.
- W759444932 hasConceptScore W759444932C11413529 @default.
- W759444932 hasConceptScore W759444932C115961682 @default.
- W759444932 hasConceptScore W759444932C121332964 @default.
- W759444932 hasConceptScore W759444932C134306372 @default.
- W759444932 hasConceptScore W759444932C149717495 @default.
- W759444932 hasConceptScore W759444932C153180895 @default.
- W759444932 hasConceptScore W759444932C154945302 @default.
- W759444932 hasConceptScore W759444932C163716315 @default.
- W759444932 hasConceptScore W759444932C207201462 @default.
- W759444932 hasConceptScore W759444932C33923547 @default.
- W759444932 hasConceptScore W759444932C41008148 @default.
- W759444932 hasConceptScore W759444932C61224824 @default.
- W759444932 hasConceptScore W759444932C62520636 @default.
- W759444932 hasConceptScore W759444932C99498987 @default.
- W759444932 hasIssue "4" @default.
- W759444932 hasLocation W7594449321 @default.
- W759444932 hasOpenAccess W759444932 @default.
- W759444932 hasPrimaryLocation W7594449321 @default.
- W759444932 hasRelatedWork W129432509 @default.
- W759444932 hasRelatedWork W1562793155 @default.
- W759444932 hasRelatedWork W1971035997 @default.
- W759444932 hasRelatedWork W2076520961 @default.
- W759444932 hasRelatedWork W2125776881 @default.
- W759444932 hasRelatedWork W2147823694 @default.
- W759444932 hasRelatedWork W2319614326 @default.
- W759444932 hasRelatedWork W2390582229 @default.
- W759444932 hasRelatedWork W2891787551 @default.
- W759444932 hasRelatedWork W2954309397 @default.
- W759444932 hasVolume "22" @default.
- W759444932 isParatext "false" @default.
- W759444932 isRetracted "false" @default.
- W759444932 magId "759444932" @default.
- W759444932 workType "article" @default.