| 1. Identity statement | |
| Reference Type | Journal Article |
| Site | mtc-m16b.sid.inpe.br |
| Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
| Identifier | 6qtX3pFwXQZGivnK2Y/Sm5h8 |
| Repository | sid.inpe.br/mtc-m17@80/2007/12.03.18.31 (restricted access) |
| Last Update | 2007:12.03.18.31.50 (UTC) administrator |
| Metadata Repository | sid.inpe.br/mtc-m17@80/2007/12.03.18.31.51 |
| Metadata Last Update | 2018:06.05.03.35.54 (UTC) administrator |
| Secondary Key | INPE-15042-PRE/9953 |
| DOI | 10.1016/j.commatsci.2006.05.012 |
| ISSN | 0927-0256 |
| Citation Key | MolMartSilvRoch:2007:EfPaEs |
| Title | Efficiency parameters estimation in gemstones cut design using artificial neural networks  |
| Year | 2007 |
| Access Date | 2024, Apr. 28 |
| Secondary Type | PRE PI |
| Number of Files | 1 |
| Size | 771 KiB |
| 2. Context | |
| Author | 1 Mol, Adriano A. 2 Martins-Filho, Luiz S. 3 Silva, José Demisio Simões da 4 Rocha, Ronilson |
| Group | 1 2 3 LAC-INPE-MCT-BR |
| Affiliation | 1 Centro de Estudos em Design de Gemas e Jóias, Univ. do Estado de Minas Gerais 2 Departamento de Computação, Univ. Federal de Ouro Preto 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Departamento de Eng. de Controle e Automação, Univ. Federal de Ouro Preto |
| Journal | Computational Materials Science |
| Volume | 38 |
| Number | 4 |
| Pages | 727-736 |
| History (UTC) | 2007-12-19 23:05:24 :: simone -> administrator :: 2012-10-24 00:07:13 :: administrator -> simone :: 2007 2013-02-20 15:20:10 :: simone -> administrator :: 2007 2018-06-05 03:35:54 :: administrator -> marciana :: 2007 |
| 3. Content and structure | |
| Is the master or a copy? | is the master |
| Content Stage | completed |
| Transferable | 1 |
| Content Type | External Contribution |
| Keywords | Faceted gemstones Lapidary design Design efficiency Artificial neural networks |
| Abstract | This paper deals with the problem of estimating cut results for faceted gemstones. The proposed approach applies artificial neural networks for a faceted gemstones analysis tool that could be further developed for incorporation in a computer-aided-design (CAD) context. Basic concepts concerning gemstone processing are introduced and the design of computational tools using neural networks is discussed. The model presented proposes two criteria to assess the efficiency of lapidary designs for rock crystal quartz: brilliance and yield. Closing the article, 62 different lapidary models were used to train and test the neural network tool. |
| Area | COMP |
| Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Efficiency parameters estimation... |
| doc Directory Content | access |
| source Directory Content | there are no files |
| agreement Directory Content | there are no files |
| 4. Conditions of access and use | |
| Language | en |
| Target File | efficiency parameters.pdf |
| User Group | administrator simone |
| Visibility | shown |
| Copy Holder | SID/SCD |
| Read Permission | deny from all and allow from 150.163 |
| 5. Allied materials | |
| Next Higher Units | 8JMKD3MGPCW/3ESGTTP |
| Dissemination | WEBSCI; PORTALCAPES. |
| Host Collection | lcp.inpe.br/ignes/2004/02.12.18.39 cptec.inpe.br/walmeida/2003/04.25.17.12 |
| 6. Notes | |
| Empty Fields | alternatejournal archivingpolicy archivist callnumber copyright creatorhistory descriptionlevel documentstage e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype |
| 7. Description control | |
| e-Mail (login) | marciana |
| update | |