Most two-phase flow measurements depend on correct flow regime identification. Many methods have been proposed to identify the flow regime, but none of them can work well across different flow conditions. In this paper we apply a non-intrusive instrument of different types of sensor to extract the data under different flow conditions. In light of these different sensor information, evidence the...

The importance of the Dempster-Shafer theory (DST) for modeling and propagating uncertainty has grown in the recent past. An obstacle for wider application of this theory in industrial practice is the lack of software support for analysts. The few tools available depend on floating point arithmetic and do not consider the inherently interval-based nature of the DST to the full extent. Therefore...

Abs t rac t . In this paper, a new approach for retrieval from semistructured photographic collections is described. We have developed a retrieval model based on the Dempster-Shafer theory of evidence combination. Basic concepts of the Dempster-Shafer theory are explained and the suitability of this theory for information retrieval is explored. A retrieval model for a semi-structured photograph...

Image understanding applications are often tainted with a high degree of complexity, uncertainty, and imprecision. The large amount of data makes it necessary to select the most useful information. The active fusion system proposed in this paper is able to eeectively select information sources, to control the acquisition process, to select processing strategies, to integrate results, and to dra...

In Intelligence Analysis it is of vital importance to manage uncertainty. Intelligence data is almost always uncertain and incomplete, making it necessary to reason and taking decisions under uncertainty. One way to manage the uncertainty in Intelligence Analysis is Dempster-Shafer Theory [7]. This thesis [4, 5] contains five results regarding multiple target tracks and intelligence specificati...

Data gathered from multiple sensors can be effectively fused for accurate monitoring of many engineering applications. In the last few years, one most sought after applications multisensor fusion has been fault diagnosis. Dempster–Shafer Theory Evidence along with Dempster’s Combination Rule is a very popular method which successfully applied to But if information obtained different shows high ...

Human involvement influences traditional service quality evaluations, which triggers an evaluation's low accuracy, poor reliability and less impressive predictability. This paper proposes a method by employing a support vector machine (SVM) and Dempster-Shafer evidence theory to evaluate the service quality of a production process by handling a high number of input features with a low sampling ...

An often mentioned obstacle for the use of Dempster-Shafer theory for the handling of uncertainty in expert systems is the computational complexity of the theory. One cause of this complexity is the fact that in Dempster-Shafer theory the evidence is represented by a belief function which is induced by a basic probability assignment, i.e. a probability measure on the powerset of possible answer...