Name
Title | ||
|---|---|---|
A Service-Based Declarative Approach for Capturing Events from Multiple Sensor Streams. |
Abstract | ||
|---|---|---|
Existing event processing models require defining events in details beforehand. It is thus challenging to handle uncertainty associated with various sensor streams having dynamic interventions and correlations. In this paper, we improve our previous service abstraction which can increase the value density of primitive sensor streams in two aspects. To deal with the uncertainty, we add declarative rules in our service abstraction for adaptively generating events from different sensor streams that reflect various external stimuli. For extracting events dynamically, we utilize the correlation analysis method to treat events as variations of correlations. This paper reports the tryout use of our approach in Chinese power grid for detecting abnormal situations of power quality. |
Year | Venue | Field |
|---|---|---|
2018 | ICSOC | Data mining,Service abstraction,Computer science,Complex event processing,Power grid,STREAMS,Correlation analysis,Power quality |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
12 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongmei Zhang | 1 | 31 | 4.99 |
| Chen Liu | 2 | 0 | 1.69 |
| Xiaohong Li | 3 | 173 | 44.41 |
| Yanbo Han | 4 | 9 | 6.25 |