نتایج جستجو برای: knowledge identification

تعداد نتایج: 952646  

Journal: :مدیریت دولتی 0
بابک سهرابی 1-دانشیار دانشکده مدیریت ، دانشگاه تهران، ایران سکینه فروزنده کارشناس ارشد مدیریت دولتی، دانشکده حسابداری و مدیریت، دانشگاه شهید بهشتی، تهران، ایران ایمان رئیسی وانانی دانشجوی دکترای مدیریت فناوری اطلاعات، دانشگاه تهران، ایران

nowadays, the utilization of organizational knowledge and sharing it with other employees in governmental project-based organizations, have become a strategic source of gaining and preserving competitive advantage. acquiring competitive advantage requires means and approaches that make the governmental project-based organizations capable of improving their knowledge sharing performance and gain...

2006
A. Hayashi M. Horibe T. Hashimoto

We study how to unambiguously identify a given quantum pure state with one of the two reference pure states when no classical knowledge on the reference states is given but a certain number of copies of each reference quantum state are presented. By unambiguous identification, we mean that we are not allowed to make a mistake but our measurement can produce an inconclusive result. Assuming the ...

Journal: :management studies and economic systems 2015
michael fascia

most current conceptualisation of knowledge transfer emerges from the premise of occidental heritage. this paper examines the dialectical procedure, underpinning the unification of knowledge as an entity, and discusses dimensions of knowledge and knowledge transfer from the practitioner’s perspective. the study asks why, if knowledge is vital for business success and competitive advantage, the ...

Journal: :Pattern Recognition 1995
Masaharu Kobashi Linda G. Shapiro

This paper describes a new knowledge-based procedure for identifying and extracting organs from normal CT imagery. Our procedure differs from previous attempts in its use of a wide variety of knowledge about both the anatomy and the image processing operations. The system features the use of constraint-based dynamic thresholding, negative-shape constraints to rapidly rule out infeasible segment...

2010
Pierre-Louis Cayrel Richard Lindner Markus Rückert Rosemberg Silva

Zero-knowledge identification schemes solve the problem of authenticating one party to another via an insecure channel without disclosing any additional information that might be used by an impersonator. In this paper we propose a scheme whose security relies on the existence of a commitment scheme and on the hardness of worst-case lattice problems. We adapt a code-based identification scheme d...

Journal: :IACR Cryptology ePrint Archive 2017
Xavier Bultel Pascal Lafourcade

Zero-knowledge proxy re-identification (ZK-PRI) has been introduced by Blaze et al. in 1998 together with two other well known primitives of recryptography, namely proxy re-encryption (PRE) and proxy re-signature (PRS). A ZK-PRI allows a proxy to transform an identification protocol for Alice into an identification protocol for Bob using a re-proof key. PRE and PRS have been largely studied in ...

Journal: :Int. J. Systems Science 2000
János Abonyi Robert Babuska Henk B. Verbruggen Ferenc Szeifert

This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modelled process such as its stability, minimal or maximal static gain, or the settling time of its step response can be translated into inequality constraints on the consequent parameters. By using input-output data, optima...

Journal: :CoRR 2006
Marc Schoenauer Michèle Sebag

Two example of Evolutionary System Identi cation are presented to highlight the importance of incorportaing Domain Knowledge: the discovery of an analytical indentation law in Structural Mechanics using constrained Genetic Programming, and the identi cation of the repartition of underground velocities in Seimsi Prospection. Critical issues for sucessful ESI are discussed in the light of these r...

2009
Kino Coursey Rada Mihalcea William E. Moen

This paper presents a method for automatic topic identification using an encyclopedic graph derived from Wikipedia. The system is found to exceed the performance of previously proposed machine learning algorithms for topic identification, with an annotation consistency comparable to human annotations.

2013
Jay Pujara Hui Miao

Building a web-scale knowledge graph, which captures information about entities and the relationships between them, represents a formidable challenge. While many largescale information extraction systems operate on web corpora, the candidate facts they produce are noisy and incomplete. To remove noise and infer missing information in the knowledge graph, we propose knowledge graph identificatio...

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