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Identification of Software Process Knowledge Management

Software Process: Improvement and Practice, 2002
AbstractThe effective and explicit management of knowledge has been presented as a key factor in the survival of companies in current business environments. The software development business is no different. The authors of this paper investigated two software processes in three small software development companies to identify the explicit and tacit ...
Bridget Meehan, Ita Richardson
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Prior-knowledge-based subspace identification for batch processes

Journal of Process Control, 2019
Abstract In this paper, a prior-knowledge-based subspace identification method (SIM) is proposed for batch processes subject to repeatable disturbances. The proposed method is a two-step procedure for state-space model identification: in the first step, the extended observability and triangular Toeplitz matrices are estimated simultaneously from a ...
Jie Hou   +3 more
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Knowledge-based process identification from relay feedback

Journal of Process Control, 1995
Abstract We present the development of a knowledge-based approach to dynamics estimation suitable for process control systems. A self-contained module for dynamics estimation is developed which is based on an integration of procedures for frequency response estimation, algorithms for conversion from frequency response to transfer function models and ...
Lee, T.H., Wang, Q.G., Tan, K.K.
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An Object Oriented Knowledge-Based System for Process Identification

IFAC Proceedings Volumes, 1991
Abstract An object oriented knowledge-based system (KBS) for identification of industrial processes is presented. The algorithmic part of the software is discussed first. The implemented parameter estimation methods and the post-optimization computations are briefly reviewed.
K. Szafnicki, S. Gentil
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Online identification for batch processes in closed loop incorporating priori controller knowledge

Computers & Chemical Engineering, 2016
Abstract 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 ...
Zhixing Cao   +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, 2009
This 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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A knowledge identification framework for the engineering of ontologies in system composition processes

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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IDENTIFICATION AND REUSE OF EXPERIENCE KNOWLEDGE IN CONTINUOUS PRODUCTION PROCESSES

IFAC Proceedings Volumes, 2006
Abstract Extrusion of rubber profiles is a time- and resource-intensive process. The experience of individuals supervising the production is difficult to gather and to convey to others. The aim of the MErKoFer project is to gather accumulated knowledge on the production process and established procedures, which are employed in handling occurring ...
M. Raddatz   +5 more
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Identification and Assimilation of Knowledge for Real-Time Control of Enterprise Processes in Manufacturing

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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The simulation and identification of flotation processes by use of a knowledge based model

International Journal of Mineral Processing, 1992
Abstract 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.
openaire   +1 more source

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