extended kalman filtering (ekf) is a nonlinear dynamic data reconciliation (nddr) method. one of its main advantages is its suitability for on-line applications. this paper presents an on-line nddr method using ekf. it is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a cstr. in each time step, random numbers with zero mean ...

1. Scope, aims and benefits of Data Reconciliation 1.1. Importance of Measurements for Process Monitoring 1.2. Sources of Experimental Errors 1.3. How to Achieve Measurement Redundancy 2. Exploiting redundancy 2.1. Variable Classification 2.2. Benefits of Model Based Data Validation 3. Mathematical formulation of the validation problem 3.1. Data Validation for Steady State Systems 3.2. Solution...

Extended Kalman Filtering (EKF) is a nonlinear dynamic data reconciliation (NDDR) method. One of its main advantages is its suitability for on-line applications. This paper presents an on-line NDDR method using EKF. It is implemented for two case studies, temperature measurements of a distillation column and concentration measurements of a CSTR. In each time step, random numbers with zero m...

With distributed computing and mobile applications becoming ever more prevalent, synchronizing diverging replicas of the same data is a common problem. Reconciliation – bringing two structure as close possible without overriding local changes investigated in an algebraic model. Our approach to consider sequences simple commands that describe compared original structure, then determine maximal s...

Background &Objectives:Patientsafety is a global medical concern with remarkable influence onthe health of patients. Studies have suggested thattreatment-related damages occur in approximately 10% of patients at variable degrees, and more than a quarter of these damages are associated with medication errors. Medication errors could be diminished during patient hospitalization and transferusing ...

Optimistic replication lets multiple users update local replicas of shared data independently. These replicas may diverge and must be reconciled. In this paper, we present a general-purpose reconciliation system for mobile transactions. The basic reconciliation engine treats reconciliation as an optimization problem. To direct the search, it relies on semantic information and user intents expre...

This demonstration illustrates how a comprehensive database reconciliation tool can provide the ability to characterize data-quality and data-reconciliation issues in complex real-world applications. Telcordia’s data reconciliation and data quality analysis tool includes rapid generation of appropriate pre-processing and matching rules applied to a training set created from samples of the data....