On isometry of polygonal domains with boundaries locally isometric in relative metrics

1992 ◽  
Vol 33 (4) ◽  
pp. 571-580 ◽  
Author(s):  
M. K. Borovikova
Keyword(s):  
Polygonal Domains ◽  
Relative Metrics

scholarly journals Stress computations on perforated polygonal domains

2003 ◽  
Vol 27 (5) ◽  
pp. 533-546 ◽  
Author(s):  
Jonas Englund ◽  
Johan Helsing
Keyword(s):  
Polygonal Domains

scholarly journals Error estimates for Dirichlet control problems in polygonal domains: Quasi-uniform meshes

2018 ◽  
Vol 8 (1) ◽  
pp. 217-245 ◽  
Author(s):  
Thomas Apel ◽  
◽  
Mariano Mateos ◽  
Johannes Pfefferer ◽  
Arnd Rösch ◽  
...  
Keyword(s):  
Error Estimates ◽  
Control Problems ◽  
Polygonal Domains

Transforming triangulations in polygonal domains

1993 ◽  
Vol 10 (6) ◽  
pp. 531-536 ◽  
Author(s):  
Nira Dyn ◽  
Ifat Goren ◽  
Shmuel Rippa
Keyword(s):  
Polygonal Domains

The Impact of a BI-Supported Performance Measurement System on a Public Police Force

2019 ◽  
pp. 509-527
Author(s):  
Elad Moskovitz ◽  
Adir Even
Keyword(s):  
Performance Measurement ◽  
Measurement System ◽  
Business Intelligence ◽  
Police Force ◽  
Performance Measurement System ◽  
Moderation Effect ◽  
Relative Metrics ◽  
Time Period ◽  
The Impact

Performance measurement, as an effective tool for implementing organizational strategy and assisting ongoing control and surveillance, is broadly adopted today. The performance measurement system (PMS) explored in this case study was implemented, using business intelligence (BI) technologies, for a public police force. The system lets police commanders view and analyze the performance scores of their own units and get feedback on the success of their activities. The study examines the system's impact, through analysis of the metric results over a time period of five years. The results show that the vast majority of the metrics examined indeed improved. Further, the results underscore the moderation effect of relative metrics weights, as well as the different behavior of metrics that reflect activity versus those that reflect outcomes. The study underscores both the positive and the negative aspects of those results, and discusses their implications for future PMS implementation with BI technologies.

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