Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Nestor Rychtyckyj"'
Autor:
Baskaran Sankaranarayanan, Deepak Khemani, P. Sreenivasa Kuma, Nestor Rychtyckyj, Venkatesh Raman
Publikováno v:
AI Magazine; Vol 38, No 1: Spring 2017; 49-60
For over twenty-five years Ford Motor Company has been utilizing an AI-based system to manage process planning for vehicle assembly at its assembly plants around the world. The scope of the AI system, known originally as the Direct Labor Management S
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030278779
HoloMAS
HoloMAS
The (semi-)automated integration of new information into a data model is a functionality which is required in cases when input documents are extensive and therefore a manual integration difficult or even impossible. We proposed an ontology learning p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7a97ed3a81756cef2379efad9266469
https://doi.org/10.1007/978-3-030-27878-6_10
https://doi.org/10.1007/978-3-030-27878-6_10
Publikováno v:
IECON
Web of Science
Web of Science
The (semi-)automated integration of new information into a data model is a functionality which is required in cases when input documents are extensive and therefore a manual integration difficult or even impossible. We proposed the solution combining
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319646343
HoloMAS
HoloMAS
All manufacturing companies need to be able to closely monitor the processes, labor, tooling, parts and throughput on the assembly plant floor. This might be a challenging task because of a large number of plant floor applications that operate using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e4f33b923538b8ffef13603ce840c65
https://doi.org/10.1007/978-3-319-64635-0_5
https://doi.org/10.1007/978-3-319-64635-0_5
Publikováno v:
ICSC
In order to realize the promise of Big Data, applications will have to consider the integration of many disparate data sources. Due to data heterogeneity, this task presents a number of challenges that may not be completely resolved with existing Ext
Autor:
Nestor Rychtyckyj, Craig Plesco
Publikováno v:
AI Magazine; Vol 34, No 1: Spring Issue; 43
In 2007 we presented a paper that described the application of Natural Language Processing (NLP) and Machine Translation (MT) for the automated translation of process build instructions from English to other languages to support Ford’s assembly pla
Publikováno v:
Knowledge and Information Systems. 12:147-168
There is a common misconception that the automobile industry is slow to adapt new technologies, such as artificial intelligence (AI) and soft computing. The reality is that many new technologies are deployed and brought to the public through the vehi
Autor:
Nestor Rychtyckyj
Publikováno v:
IEEE Intelligent Systems. 22:16-19
Ford Motor Company has developed and deployed several knowledge-based applications for manufacturing. This paper discussed how the US car maker was able to successfully integrate AI into mainstream manufacturing processes and provide a competitive ad
Autor:
Robert G. Reynolds, Nestor Rychtyckyj
Publikováno v:
International Journal of Software Engineering and Knowledge Engineering. 15:665-693
Evolutionary computation has been successfully applied in a variety of problem domains and applications. In this paper we discuss the use of a specific form of evolutionary computation known as Cultural Algorithms to improve the efficiency of the sub
Autor:
Nestor Rychtyckyj, Allison Stephens
Publikováno v:
CIVVS
The role of Ergonomics in the manufacturing workplace and on the assembly line floor is a critical issue that needs to be addressed in order to prevent workplace injuries and avoid work actions that may lead to long-term medical problems for the work