Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Roman Chumakov"'
Publikováno v:
Frontiers in Artificial Intelligence and Applications ISBN: 9781643683461
Visualization is claimed as one of the essential “V’s” of Big Data since it allows presenting the data in a human-friendly way and is, therefore, a stepping-stone for the Big Data mining process. Visual analytics, in turn, ensures knowledge dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::400bc98a2f298338d07a9793e080ff0e
https://doi.org/10.3233/faia220363
https://doi.org/10.3233/faia220363
Publikováno v:
Proceedings of the 32nd International Conference on Computer Graphics and Vision.
The paper is devoted to the automation of visual analytics of digital mental map representation sets. Digital mental map representations are digital drawings of some certain spaces made by humans, reflecting their spatial experience and distinctive t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05c3c4c7d6dbbdfc83f33bd099e00630
https://doi.org/10.20948/graphicon-2022-248-274
https://doi.org/10.20948/graphicon-2022-248-274
Mental maps are valuable material for Digital Humanities research since they represent a summary of humans spatial experience reflected in their minds. Contributing to this research, we developed a high-level Web-based software platform that allows t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::679be7fbe3af3f53d0730c6904041f9e
https://doi.org/10.3233/faia210208
https://doi.org/10.3233/faia210208
Publikováno v:
Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2.
This paper is devoted to extending the previously created unified pipeline for conducting eye-tracking- based experiments in a virtual reality environment. In the previous work, we proposed using SciVi semantic data mining platform, Unreal Engine and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0fa6288d18d5874d71dac128201abffa
https://doi.org/10.20948/graphicon-2021-3027-211-222
https://doi.org/10.20948/graphicon-2021-3027-211-222
Autor:
Roman Chumakov
Publikováno v:
Journal of Intelligent Manufacturing. 19:327-333
This paper presents a method, based on a two-layer dynamic Elman neural network, for detecting faults in the assembly of thread-forming screws. Using torque measurements, the method provides a high degree of reliability in detecting assembly faults.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b7cb406835a8e59b3eba365cf4ba91
https://doi.org/10.1007/s10845-008-0085-5
https://doi.org/10.1007/s10845-008-0085-5
Autor:
Roman Chumakov
Publikováno v:
The International Journal of Advanced Manufacturing Technology. 36:395-400
This paper presents a mathematical model that allows for the best thread-forming speed to be calculated based on a detailed efficiency function. The optimum thread-forming speed is calculated at several stages of the assembly process, and thus allows
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::003ec71dce2b1b9df6389ec543d162cc
https://doi.org/10.1007/s00170-006-0839-1
https://doi.org/10.1007/s00170-006-0839-1
Autor:
Kandidat Nauk, Roman Chumakov
Publikováno v:
Assembly Automation. 25:135-139
PurposeDevelops a neural network based system for optimum assembly speeds using thread‐forming fasteners.Design/methodology/approachUses a three layer neural network to optimise thread forming speeds based on thread diameter and pitch and the total
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::417313f921d0d316b321ae83a2533180
https://doi.org/10.1108/01445150510590497
https://doi.org/10.1108/01445150510590497
Autor:
Roman Chumakov
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642218262
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22114dab189b13c26ed86b38f621706c
https://doi.org/10.1007/978-3-642-21827-9_16
https://doi.org/10.1007/978-3-642-21827-9_16