Self-stabilizing Distributed Data Fusion

Figure 11: Summary of the proper preprocessing choice to deal with three particular boundaries (top boundary with a global force information, cluster of missing data and

Any processing of time-series of data acquired by the same sensor or different sensors, is a fusion process.. The terms merging, combination will be used in a much broader sense

In the remainder of this section we present the basic notions of the Belief functions theory, a generic distributed data fusion algorithm based on this framework and the application

The existent bibliography of the k-NN method estimation dates back to Royall [25] and Stone [27] and has re- ceived, continuous developments (Mack [22] derived the rates of

Based on the parsing results, the queries to database (DB) were analyzed in the analytics of the application, user, location, list of used tables, attributes, tuples and other

Since the summer of 2017, the data processing system has been working in a production mode, distributing jobs to two traditional Grid sites: CERN and JINR.. There

While in the waterfall model all data gathered is processed in a sequential way for all modules, in the Luo and Kay model data from the sensors are incre- mentally added on

In our implementation we offer these Mementos (i.e., prior ver- sions) with explicit URIs in different ways: (i) we provide access to the original dataset descriptions retrieved