AMPAC 8 with AGUI (AMPAC GUI) for Mac OSX SemiChem, Inc., P.O. Box 1649, Shawnee Mission, KS 66222. http://www.semichem.com. Single-user commercial pricing $4000 with customer support, $1200 without. Single-user educational pricing $975 with customer support, $300 without. A special educational site license is available for $2000.

2006 ◽  
Vol 128 (18) ◽  
pp. 6265-6266
Author(s):  
Thomas M. Gilbert ◽  
Catherine E. Check
Keyword(s):  
Customer Support ◽  
Site License ◽  
Educational Site ◽  
Single User ◽  
Shawnee Mission

scholarly journals University of Manitoba GISHub

2021 ◽  
pp. 14-21
Author(s):  
Meg Miller ◽  
Mullai Manickavalli
Keyword(s):  
Academic Library ◽  
Local Environment ◽  
Access Point ◽  
Lessons Learned ◽  
Use Cases ◽  
Site License ◽  
Educational Site ◽  
University Of Manitoba ◽  
Geospatial Datasets ◽  
The University

This review provides an outline of the solution the University of Manitoba Libraries has implemented to integrate their ESRI Educational Site License. In looking at the tools available the project came to encompass the following:1. Semi-automated management and integration of UM ESRI site license using campus authentication methods2. Discovery and access point for proprietary and open researcher data3. Secure local environment for active-use geospatial datasets using ArcGIS EnterpriseThe following discusses the software specifics, use cases, and lessons learned in a Canadian academic library context.

BS-Cooperation Scheduler for a Multi-Site Single-User MIMO

2011 ◽  
Vol E94-B (4) ◽  
pp. 1025-1032
Author(s):  
Shoji KANEKO ◽  
Masashi FUSHIKI ◽  
Masayuki NAKANO ◽  
Yoji KISHI
Keyword(s):  
Single User

NEW RESULTS IN REDUCED ESTIMATION WITH SYSTEMATIC ERRORS IN MEASUREMENTS AND THEIR APPLICATION FOR THE FORMATION OF A GROUP TIME SCALE

2018 ◽  
pp. 30-37
Author(s):  
A. P. Aleshkin ◽  
A. A. Makarov ◽  
Yu. F. Matasov
Keyword(s):  
Time Scale ◽  
Statistical Estimation ◽  
Systematic Errors ◽  
Random Component ◽  
Customer Support ◽  
Group Time ◽  
Reduction Coefficient ◽  
Systematic Component ◽  
Compression Parameter ◽  
Positive Effect

The article deals with the behavior of reduced scalar estimates in the presence of systematic errors in the observational data. The proposed procedure with a different method of forming the reduction coefficient. A quasi-optimal variant of the compression parameter formation is considered. Simulation results for different conditions of application of the proposed algorithms are presented. Currently, one of the ways to improve the accuracy of the formation of the time scale in solving the problems of frequency-time customer support is the averaging of the readings of several generators. At the same time, this approach, as shown in the theory of statistical estimation, is effective for parrying the random component of the error of the estimated process. However, for frequency generators random error can be effectively compensated for a long range of observations, but the systematic component - frequency drift - is a serious problem, which can be eliminated by averaging only under certain conditions. Therefore, the article proposes a version of the reduced estimate, effective, as shown, to parry the departure of the time scale by introducing a shift in the implementation of compression, defined by the reduction procedure. The conditions in which the degree of the achieved positive effect has a practical sense are considered.

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