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Additional Tennessee Eastman Process Simulation Data for Anomaly Detection Evaluation
No full textUser Agreement, Public Domain Dedication, and Disclaimer of Liability.
By accessing or downloading the data or work provided here, you, the User, agree that you have read this agreement in full and agree to its terms.
The person who owns, created, or contributed a work to the data or work provided here dedicated the work to the public domain and has waived his or her rights to the work worldwide under copyright law. You can copy, modify, distribute, and perform the work, for any lawful purpose, without asking permission.
In no way are the patent or trademark rights of any person affected by this agreement, nor are the rights that any other person may have in the work or in how the work is used, such as publicity or privacy rights.
Pacific Science & Engineering Group, Inc., its agents and assigns, make no warranties about the work and disclaim all liability for all uses of the work, to the fullest extent permitted by law.
When you use or cite the work, you shall not imply endorsement by Pacific Science & Engineering Group, Inc., its agents or assigns, or by another author or affirmer of the work.
This Agreement may be amended, and the use of the data or work shall be governed by the terms of the Agreement at the time that you access or download the data or work from this Website.
Description
This dataverse contains the data referenced in Rieth et al. (2017). Issues and Advances in Anomaly Detection Evaluation for Joint Human-Automated Systems. To be presented at Applied Human Factors and Ergonomics 2017.
Each .RData file is an external representation of an R dataframe that can be read into an R environment with the 'load' function. The variables loaded are named ‘fault_free_training’, ‘fault_free_testing’, ‘faulty_testing’, and ‘faulty_training’, corresponding to the RData files.
Each dataframe contains 55 columns:
Column 1 ('faultNumber') ranges from 1 to 20 in the “Faulty” datasets and represents the fault type in the TEP. The “FaultFree” datasets only contain fault 0 (i.e. normal operating conditions).
Column 2 ('simulationRun') ranges from 1 to 500 and represents a different random number generator state from which a full TEP dataset was generated (Note: the actual seeds used to generate training and testing datasets were non-overlapping).
Column 3 ('sample') ranges either from 1 to 500 (“Training” datasets) or 1 to 960 (“Testing” datasets). The TEP variables (columns 4 to 55) were sampled every 3 minutes for a total duration of 25 hours and 48 hours respectively. Note that the faults were introduced 1 and 8 hours into the Faulty Training and Faulty Testing datasets, respectively.
Columns 4 to 55 contain the process variables; the column names retain the original variable names.
Acknowledgments. This work was sponsored by the Office of Naval Research, Human & Bioengineered Systems (ONR 341), program officer Dr. Jeffrey G. Morrison under contract N00014-15-C-5003. The views expressed are those of the authors and do not reflect the official policy or position of the Office of Naval Research, Department of Defense, or US Government
Additional Tennessee Eastman Process Simulation Data for Anomaly Detection Evaluation
No full textUser Agreement, Public Domain Dedication, and Disclaimer of Liability.
By accessing or downloading the data or work provided here, you, the User, agree that you have read this agreement in full and agree to its terms.
The person who owns, created, or contributed a work to the data or work provided here dedicated the work to the public domain and has waived his or her rights to the work worldwide under copyright law. You can copy, modify, distribute, and perform the work, for any lawful purpose, without asking permission.
In no way are the patent or trademark rights of any person affected by this agreement, nor are the rights that any other person may have in the work or in how the work is used, such as publicity or privacy rights.
Pacific Science & Engineering Group, Inc., its agents and assigns, make no warranties about the work and disclaim all liability for all uses of the work, to the fullest extent permitted by law.
When you use or cite the work, you shall not imply endorsement by Pacific Science & Engineering Group, Inc., its agents or assigns, or by another author or affirmer of the work.
This Agreement may be amended, and the use of the data or work shall be governed by the terms of the Agreement at the time that you access or download the data or work from this Website.
Description
This dataverse contains the data referenced in Rieth et al. (2017). Issues and Advances in Anomaly Detection Evaluation for Joint Human-Automated Systems. To be presented at Applied Human Factors and Ergonomics 2017.
Each .RData file is an external representation of an R dataframe that can be read into an R environment with the 'load' function. The variables loaded are named ‘fault_free_training’, ‘fault_free_testing’, ‘faulty_testing’, and ‘faulty_training’, corresponding to the RData files.
Each dataframe contains 55 columns:
Column 1 ('faultNumber') ranges from 1 to 20 in the “Faulty” datasets and represents the fault type in the TEP. The “FaultFree” datasets only contain fault 0 (i.e. normal operating conditions).
Column 2 ('simulationRun') ranges from 1 to 500 and represents a different random number generator state from which a full TEP dataset was generated (Note: the actual seeds used to generate training and testing datasets were non-overlapping).
Column 3 ('sample') ranges either from 1 to 500 (“Training” datasets) or 1 to 960 (“Testing” datasets). The TEP variables (columns 4 to 55) were sampled every 3 minutes for a total duration of 25 hours and 48 hours respectively. Note that the faults were introduced 1 and 8 hours into the Faulty Training and Faulty Testing datasets, respectively.
Columns 4 to 55 contain the process variables; the column names retain the original variable names.
Acknowledgments. This work was sponsored by the Office of Naval Research, Human & Bioengineered Systems (ONR 341), program officer Dr. Jeffrey G. Morrison under contract N00014-15-C-5003. The views expressed are those of the authors and do not reflect the official policy or position of the Office of Naval Research, Department of Defense, or US Government
Tchernia A., Pomey P., Hesnard A., L'épave romaine de la Madrague de Giens (Var). (Fouilles de l'Institut d'archéologie méditerranéenne) . 34e supplément à Gallia, 1978
No full textRieth Éric. Tchernia A., Pomey P., Hesnard A., L'épave romaine de la Madrague de Giens (Var). (Fouilles de l'Institut d'archéologie méditerranéenne) . 34e supplément à Gallia, 1978. In: M.S.H. informations, supplément n°1, 1979. Archéométrie. pp. 86-87
De re Navali. Pérégrinations nautiques entre Méditerranée et océan Indien. Mélanges en l'honneur de Patrice Pomey
No full textInternational audienceThis volume, written by fourteen friends, colleagues and former students, is dedicated to Patrice Pomey, nautical archaeologist and specialist in the ancient Mediterranean, emeritus director of research at the CNRS, and former director of the Direction des Recherches Archéologiques Sous-Marines (French Ministry of Culture) and of the Centre Camille Jullian (Aix Marseille University, CNRS). With a preface by André Tchernia and an introduction by the editors, Giulia Boetto and Eric Rieth, the work is composed of four sections that reflect the themes to which Patrice Pomey has devoted most of his research career. Five articles bearing on the nautical archaeology of the ancient Mediterranean make up the first part, while the second features two contributions looking at nautical iconography. The four studies of the third part recall Pomey’s interest in nautical ethnography as well as his work on the “sewn” boats of Kerala and the boats of Lake Borollos in Egypt. The fourth and final section is entitled “Varia” and contains three articles exploring other themes dear to Patrice: dendrochronology, the use of study models, and experimental archaeology.Ce volume, écrit par quatorze amis, collègues et anciens étudiants, est dédié à Patrice Pomey, archéologue naval spécialiste de l’Antiquité méditerranéenne, directeur de recherche émérite du CNRS, et qui fut directeur de la Direction des Recherches Archéologiques Sous-Marines (ministère de la Culture) et du Centre Camille Jullian (Aix Marseille Université, CNRS). Préfacé par A. Tchernia et introduit par les éditeurs, G. Boetto et E. Rieth, cet ouvrage comporte quatre parties qui évoquent les axes de recherche auxquels P. Pomey a consacré l’essentiel de sa carrière de chercheur. Cinq articles portant sur l’archéologie navale antique méditerranéenne composent la première partie, tandis que la deuxième, dédiée à l’iconographie navale, comporte deux contributions. Les quatre études de la troisième partie rappellent l’intérêt de P. Pomey pour l’ethnographie navale ainsi que ses travaux sur l’architecture navale « cousue » du Kerala ou sur les bateaux du lac Borollos en Egypte. Enfin, dans une quatrième et dernière partie, intitulée « Varia », sont regroupés trois articles évoquant d’autres thèmes chers à P. Pomey, la dendrochronologie, le modélisme de recherche et l’archéologie expérimentale
Até quando isso vai continuar? Me ajuda, pelo amor de deus: a construção de espaços de não-ser em localidades de Maioria Negra no Rio de Janeiro
No full textFil: de Campos, Deivison Moacir Cezar. Pontifícia universidade Católica do RS; Brasil.Fil: Rieth, Ricardo Willy. Universidade Luterana do Brasil; Brasil.Fil: Ferreira da Silva, Henrique. Universidade Luterana do Brasil; Brasil
A. Joubert, J. Lepage et E. Rieth, Bateaux votifs des églises du Val-de-Seine
No full textA. Joubert, J. Lepage et E. Rieth, Bateaux votifs des églises du Val-de-Seine. In: Revue archéologique de l'Oise, n°23, 1981. p. 31
A. Joubert, J. Lepage et E. Rieth, Bateaux votifs des églises du Val-de-Seine
No full textA. Joubert, J. Lepage et E. Rieth, Bateaux votifs des églises du Val-de-Seine. In: Revue archéologique de l'Oise, n°23, 1981. p. 31
André Osiander e o “Infanticídio em Pösing”: alternativa no mundo anti-Semita da Reforma?
No full textA Idade Média apresenta um triste saldo no que se refere à relação entre judeus e cristãos. Tomando por base um episódio na vida do reformador André Osiander, Ricardo W. Rieth tenta descrever o mundo anti-semita de então para que se possa, a partir daí, melhor ouvir “a voz que clama no deserto”
Economia e idolatria : dois temas relacionados da tradição cristã segundo Lutero e teólogos latino-americanos
No full textEm artigo intitulado “Economia e Idolatria; Dois Temas Relacionados da Tradição Cristã segundo Lutero e Teólogos Latino-Americanos”, Ricardo W. Rieth analisa a relação entre os dois conceitos no pensamento de Lutero e de alguns teólogos latino-americanos (Franz Hinkelammert, Hugo Assmann, Enrique Dussel, Júlio de Santa Ana e Pablo Richard), observando especialmente o uso da Bíblia na fundamentação da respectiva argumentação
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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