scholarly journals Generalized Metrics for Constant Directivity

2019 ◽  
Vol 67 (9) ◽  
pp. 666-678
Author(s):  
Rahulram Sridhar ◽  
Joseph Tylka ◽  
Edgar Choueri
Keyword(s):  
2011 ◽  
Vol 7 (4) ◽  
pp. 37-54 ◽  
Author(s):  
Anirban Ganguly ◽  
Ali Mostashari ◽  
Mo Mansouri

Knowledge Management (KM) is critical in ensuring process efficiency, outcome effectiveness and improved organizational memory for the modern day business enterprises. Knowledge Sharing (KS) is fast becoming a rapidly growing area of interest in the domain of knowledge management. The purpose of this paper is to enlist a set of generalized metrics that can be used to evaluate the efficiency and the effectiveness of knowledge sharing in an enterprise network. The metrics proposed in this research are those that can be readily measured by various types of enterprise knowledge sharing systems, and link usage information to organizational outputs. The paper uses an illustrative case example of how an enterprise might make use of the metrics in measuring the efficiency and effectiveness of its knowledge sharing system.


2015 ◽  
Vol 2015 (1) ◽  
Author(s):  
Maryam A Alghamdi ◽  
Naseer Shahzad ◽  
Oscar Valero

2003 ◽  
Vol 305 (1-3) ◽  
pp. 187-219 ◽  
Author(s):  
Pascal Hitzler ◽  
Anthony Karel Seda

2019 ◽  
pp. 1-29 ◽  
Author(s):  
Mikhail G. Katz ◽  
Stéphane Sabourau

The regularity of systolically extremal surfaces is a notoriously difficult problem already discussed by Gromov in 1983, who proposed an argument toward the existence of [Formula: see text]-extremizers exploiting the theory of [Formula: see text]-regularity developed by White and others by the 1950s. We propose to study the problem of systolically extremal metrics in the context of generalized metrics of nonpositive curvature. A natural approach would be to work in the class of Alexandrov surfaces of finite total curvature, where one can exploit the tools of the completion provided in the context of Radon measures as studied by Reshetnyak and others. However the generalized metrics in this sense still don’t have enough regularity. Instead, we develop a more hands-on approach and show that, for each genus, every systolically extremal nonpositively curved surface is piecewise flat with finitely many conical singularities. This result exploits a decomposition of the surface into flat systolic bands and nonsystolic polygonal regions, as well as the combinatorial/topological estimates of Malestein–Rivin–Theran, Przytycki, Aougab–Biringer–Gaster and Greene on the number of curves meeting at most once, combined with a kite excision move. The move merges pairs of conical singularities on a surface of genus [Formula: see text] and leads to an asymptotic upper bound [Formula: see text] on the number of singularities.


Author(s):  
Anirban Ganguly ◽  
Ali Mostashari ◽  
Mo Mansouri

Knowledge Management (KM) is critical in ensuring process efficiency, outcome effectiveness and improved organizational memory for the modern day business enterprises. Knowledge Sharing (KS) is fast becoming a rapidly growing area of interest in the domain of knowledge management. The purpose of this paper is to enlist a set of generalized metrics that can be used to evaluate the efficiency and the effectiveness of knowledge sharing in an enterprise network. The metrics proposed in this research are those that can be readily measured by various types of enterprise knowledge sharing systems, and link usage information to organizational outputs. The paper uses an illustrative case example of how an enterprise might make use of the metrics in measuring the efficiency and effectiveness of its knowledge sharing system.


2017 ◽  
Vol 67 (5) ◽  
Author(s):  
Jan Pavlík

AbstractThe paper provides a generalization of a metric with values in a general structure. Quantales and special kinds of ordered monoids are shown to be suitable for this purpose. Topological and categorical properties of spaces with such generalized metrics are studied and a special emphasis is given on paths in these spaces.


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