Combining State Route and Local Road Linear Referencing System Information

2009 ◽  
Vol 2121 (1) ◽  
pp. 152-159 ◽  
Author(s):  
Andrew J. Graettinger ◽  
Xiao Qin ◽  
Gabriel Spear ◽  
Steven T. Parker ◽  
Susie Forde
Keyword(s):  
System Information ◽  
Linear Referencing System ◽  
Local Road

System Information Model of Obtaining and Using Data of Remote Sensing the Earth

2008 ◽  
Vol 40 (11) ◽  
pp. 46-56
Author(s):  
Ludmila I. Samoilenko ◽  
Sergey A. Baulin ◽  
Tatyana V. Ilyenko ◽  
Margarita A. Kirnosova ◽  
Ludmila N. Kolos ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information Model ◽  
The Earth ◽  
System Information ◽  
Using Data

Formalization of Functions of the Prospective Program System for Protection of Automated System Information

2004 ◽  
Vol 62 (1-6) ◽  
pp. 81-91
Author(s):  
Ya. E. Lvovich ◽  
V. I. Sumin ◽  
I. I. Zastrozhnov ◽  
E. A. Rogozin ◽  
A. S. Dubrovin
Keyword(s):  
Automated System ◽  
Program System ◽  
System Information

Dissipativity analysis of delayed stochastic generalized neural networks with Markovian jump parameters

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Grienggrai Rajchakit ◽  
Ramalingam Sriraman ◽  
Rajendran Samidurai
Keyword(s):  
Linear Matrix ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Markovian Jump ◽  
Stochastic Perturbations ◽  
Practical Applications ◽  
Markovian Jump Parameters ◽  
Generalized Neural Networks ◽  
System Information ◽  
Dissipativity Analysis

Abstract This article discusses the dissipativity analysis of stochastic generalized neural network (NN) models with Markovian jump parameters and time-varying delays. In practical applications, most of the systems are subject to stochastic perturbations. As such, this study takes a class of stochastic NN models into account. To undertake this problem, we first construct an appropriate Lyapunov–Krasovskii functional with more system information. Then, by employing effective integral inequalities, we derive several dissipativity and stability criteria in the form of linear matrix inequalities that can be checked by the MATLAB LMI toolbox. Finally, we also present numerical examples to validate the usefulness of the results.

scholarly journals Reported Diabetes Mellitus Prevalence Rates in the Colombia Healthcare System from 2009 to 2012: Analysis by Regions Using Data of the Official Information Sources

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Noël C. Barengo ◽  
Diana Carolina Tamayo
Keyword(s):  
Diabetes Mellitus ◽  
Healthcare System ◽  
Social Protection ◽  
Prevalence Rates ◽  
Annual Increase ◽  
Number Of Patients ◽  
High Expenditure ◽  
System Information ◽  
Using Data ◽  
Official Information

The objective of this study was to describe the reported diabetes mellitus (DM) prevalence rates of the 20–79-year-old population in Colombia from 2009 to 2012 reported by the healthcare system. Information on number of patients treated for DM was obtained by the Integral Information System of Social Protection (SISPRO), the registry of the Ministry of Health and Social Protection, and the High Cost Account (CAC), an organization to trace high expenditure diseases. From both sources age-standardized reported DM prevalence rates per 100.000 inhabitants from 2009 to 2012 were calculated. Whereas the reported DM prevalence rates of SISPRO revealed an increase from 964/100.000 inhabitants (2009) to 1398/100.000 inhabitants in 2012 (mean annual increase 141/100.000;pvalue: 0.001), the respective rates in the CAC register were 1082/100.000 (2009) and 1593/100.000 in 2012 (mean annual increase 165/100.000;pvalue: 0.026). The number of provinces reporting not less than 19% of the highest national reported DM prevalence rates (1593/100.000) increased from two in 2009 to ten in 2012. Apparently, the registries and the information retrieving system have been improved during 2009 and 2012, resulting in a greater capacity to identify and report DM cases by the healthcare system.

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