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Knowledge-Based Adaptive Identification for Process Control and Modelling
1993Identification methods mainly based on recursive least-squares algorithms have been well developed in recent years. However, almost all existing identification, control and modelling techniques are completely based upon mathematical computations that cannot thoroughly describe many characteristics of a real physical system such as qualitative features.
Hong Y. Xu, C. R. Baird, D. Riordan
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2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), 2021
Online communities collaborate and users share their views using online forums. The experience and ideas shared by the users in the forum are rich but finding relevant forum posts is laborious and frustrating. This research is targeted towards comparing a post at hand to find forum posts related to it.
J. C. Miraclin Joyce Pamila +2 more
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Online communities collaborate and users share their views using online forums. The experience and ideas shared by the users in the forum are rich but finding relevant forum posts is laborious and frustrating. This research is targeted towards comparing a post at hand to find forum posts related to it.
J. C. Miraclin Joyce Pamila +2 more
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Arab Gulf Journal of Scientific Research, 2015
Companies turn to IT for innovative solutions in order to be competitive. Organizations must arm themselves with comprehensive knowledge to concentrate on the risks introduced by this unstable environment promptly. This study extends previous researches on the impact when executing risk management processes in Information Technology (IT) projects by ...
Amine Nehari Talet, Razali Mat Zin
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Companies turn to IT for innovative solutions in order to be competitive. Organizations must arm themselves with comprehensive knowledge to concentrate on the risks introduced by this unstable environment promptly. This study extends previous researches on the impact when executing risk management processes in Information Technology (IT) projects by ...
Amine Nehari Talet, Razali Mat Zin
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Online identification for batch processes in closed loop incorporating priori controller knowledge
Computers & Chemical Engineering, 2016Abstract It is of great importance to develop an online modeling method for chemical processes operated in closed loop for better understanding, monitoring the process or other purposes without endangering the system. This paper intends to devise an online system identification method, particularly for the batch process, by fully exploiting its ...
Cao, Zhixing +3 more
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2011 IEEE International Conference on Information Reuse & Integration, 2011
Recent research has been focused on the creation of intelligent compositional systems that utilize ontologies as a knowledge base to facilitate the composition of new systems/workflows. Within this “ontology-driven” compositional systems field, experts have created knowledge representation models to satisfy requirements of their own domain rather than ...
Mitchell G. Gillespie +3 more
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Recent research has been focused on the creation of intelligent compositional systems that utilize ontologies as a knowledge base to facilitate the composition of new systems/workflows. Within this “ontology-driven” compositional systems field, experts have created knowledge representation models to satisfy requirements of their own domain rather than ...
Mitchell G. Gillespie +3 more
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Summary Research of Risk Identification in the Process of Knowledge Management
2009 Second International Conference on Future Information Technology and Management Engineering, 2009This paper classifies and concludes the risks existed in knowledge management from a view of identification. It has been divided into two aspects of knowledge assets at risk: the risk of knowledge spillovers, knowledge conversion risk, the risk of wastage, leakage risks, contractual risks, moral hazard from Knowledge and knowledge of risk vector.
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Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2007
New product development is a complex process that requires industry-specific knowledge to produce commercially viable solutions, and it is this specialist knowledge that enables organizations to develop competitive advantage in their marketplaces. This research, conducted over 3 years at a UK capital equipment manufacturer, investigated the role of ...
M S Cross, S Sivaloganathan
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New product development is a complex process that requires industry-specific knowledge to produce commercially viable solutions, and it is this specialist knowledge that enables organizations to develop competitive advantage in their marketplaces. This research, conducted over 3 years at a UK capital equipment manufacturer, investigated the role of ...
M S Cross, S Sivaloganathan
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The simulation and identification of flotation processes by use of a knowledge based model
International Journal of Mineral Processing, 1992Abstract This paper illustrates the application of a knowledge based system to perform fault-diagnosis, dynamic simulation and the optimization of batch and continuous flotation processes. The proposed approach is essentially useful to simulate ill-defined dynamic processes where existing fundamental and empirical models fail owing to their lack of ...
Reuter M.A., van Deventer J.S.J.
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2010 Second International Conference on Information, Process, and Knowledge Management, 2010
Today’s enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data
Manfred Grauer +3 more
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Today’s enterprises are operating in a complex and volatile business environment. To address this situation, enterprises try to realize horizontal and vertical integration of business and engineering processes leading to real-time enterprise. Enterprise data model assists in integrating data generated from automation systems in (milli) seconds and data
Manfred Grauer +3 more
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Nuclear Technology, 1993
The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status
Yukiharu Ohga, Hiroshi Seki
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The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status
Yukiharu Ohga, Hiroshi Seki
openaire +1 more source