System Information Integrity and Monitoring

2013 ◽  
pp. 17-22
Keyword(s):  
System Information ◽  
Information Integrity

Power-Fail Detection and Data Storage Design for Control System

2011 ◽  
Vol 383-390 ◽  
pp. 4121-4124
Author(s):  
Liu Min Wang ◽  
Bo Mo
Keyword(s):  
Control System ◽  
Real Time ◽  
Data Storage ◽  
Circuit Design ◽  
Real Time Clock ◽  
Design For Control ◽  
Non Volatile Memory ◽  
System Information ◽  
Volatile Memory ◽  
Information Integrity

The purpose of power-fail protection design is to ensure the certainty and integrity of system information. The key point of design includes: the signals of power-fail detection and data treatm- ent; real-time clock circuit design which is synchronous with the system or as a mark of time; using non-volatile memory (such as FRAM) or using battery backup to maintain trade volatile memory (eg RAM) power to ensure the information integrity and non-volatile storage when the power is removed.

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 Information Integrity in the Era of Fake News

2020 ◽  
Vol 44 (1) ◽  
pp. 34-53 ◽  
Author(s):  
Melanie Rügenhagen ◽  
Thorsten Stephan Beck ◽  
Emily Joan Sartorius
Keyword(s):  
Fake News ◽  
Context Specificity ◽  
Information Integrity

AbstractIn this article we report on an experiment that tested how useful library-based guidelines are for measuring the integrity of information in the era of fake news. We found that the usefulness of these guidelines depends on at least three factors: weighting indicators (criteria), clear instructions, and context-specificity.

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