One of main thrusts of modern plant operation is to improve the quality of online information in distributed control system (DCS). Accurate information about the current state of a process is paramount for plant monitoring and control. Unfortunately, process measurements are often corrupted by measurement noise. The presence of measurement noise not only prevents plant operators from identifyin...

This paper presents a nonlinear approach for data reconciliation. The advantages of this approach over the conventional extended Kalman filtering (EKF) are namely, less linearization errors are generated in the process, and secondly the choice of the objective function is flexible. In this work, two probability density functions, namely the Logistic and Lorentz distribution are proposed as the ...

In this paper, we address data reconciliation in peer-to-peer (P2P) collaborative applications. We propose P2P-LTR (Logging and Timestamping for Reconciliation) which provides P2P logging and timestamping services for P2P reconciliation over a distributed hash table (DHT). While updating at collaborating peers, updates are timestamped and stored in a highly available P2P log. During reconciliat...

To determine the mechanism of molecular evolution, molecular biologists need to carry out reconciliation work. In reconciliation work, they compare the relation between two heterogeneous phylogenetic trees and the relation between a phylogenetic tree and a taxonomic tree are compared. Phylogenetic trees and taxonomic trees are referred to as ordered trees and a reconciliation graph is construct...

BACKGROUND Medication reconciliation can prevent medication errors and harm when patients transition between hospital and other care settings. Though a Joint Commission hospital Patient Safety Goal since 2006, organizations continue to have difficulty implementing the process. OBJECTIVE To determine factors that influence performance of medication reconciliation in a hospital setting with a c...

Presently, a very large number of public and private data sets are available from local governments. In most cases, they are not semantically interoperable and a huge human effort would be needed to create integrated ontologies and knowledge base for smart city. Smart City ontology is not yet standardized, and a lot of research work is needed to identify models that can easily support the data ...

An integral approach for dynamic data reconciliation that combines a direct numerical integration via Simpson’s rule and data smoothing via discrete wavelet decomposition is presented. By simple numerical integration, the differential-algebraic equations governing the material balances are transformed into algebraic constraints to formulate the reconciliation problem. The frequency responses an...

New applications from the areas of analytical data processing and data integration require powerful features to condense and reconcile available data. Object-relational and other data management systems available today provide only limited concepts to deal with these requirements. The general concept of grouping and aggregation appears to be a fitting paradigm for a number of the mentioned issu...

− The steady state data reconciliation problem is approached via a geometrical picture of its model and measurement abstract spaces. By completely utilizing the structure of the problem constraint matrix, via its singular value decomposition (SVD), data adjustment is accomplished and redundancy and observability conditions are formulated. As an example, the method is applied to a small network ...

The optimal approach for dynamic data reconciliation consists in using a complete and exact process model. Unfortunately, such a model is difficult to obtain in industrial practice. Through an example, several observers based on static, stationary and dynamic sub-models are designed and compared to the optimal approach. The comparisons illustrate that, for the given conditions, static observers...