Event processing allows to analyze huge amounts of data streams in real-time. Some environmental applications dealing with sensor data need to perform geoprocessing and respond to time-sensitive issues. The application of event processing methods to geosensor data without having into account the implicit spatiotemporal setting of the observation process may lead to inaccurate results. Spatial a...

Ground nodes receive the signals transmitted by the mobile nodes. They are also sensor nodes that run on batteries. Currently, all their detections are forwarded to a central base station, where a localization method integrates them into a position estimation for each bat [NKD15]. The base station is a standard computer with sufficient power and energy. In the future, some parts of the localiza...

In the 21st century, as technologies of perceptual recognition develops, devices of information generation begin to accurately sense, measure and monitor the physical world in real time.Complex Event Processing(CEP), which can be used to extract user level information from raw data, becomes the key part of the IoT middleware. Most of the current study of complex event processing has not focus o...

The web is the largest bulletin board of the world. Events of all types, from flight arrivals to business meetings, are announced on this board. Tracking and reacting to such event announcements, however, is a tedious manual task, only slightly alleviated by email or similar notifications. Announcements are published with human readers in mind, and updates or delayed announcements are frequent....

With Business Processes becoming more and more popular and the applications growing more complex, the need of monitoring and controlling enterprise business process systems grows. The existing solutions do not support modelbased compliance control [16] and often have limited event-abstraction capabilities. In this thesis we develop and implement a monitoring system for BPEL processes based on t...

RFID technology is gaining adoption on an increasing scale for tracking and monitoring purposes. Wide deployments of RFID devices will soon generate an unprecedented volume of data. Emerging applications require the RFID data to be filtered and correlated for complex pattern detection and transformed to events that provide meaningful, actionable information to end applications. In this work, we...

In recent years, there has been a growing need for the use of active systems. Active systems perform automatic actions that may be reactive, such as responding to provided stimuli. They may also perform automatic actions that are proactive, such as predicting possible phenomena. While earliest active systems were directed to databases (Dayal U. et al. 1988, Widom & Ceri, 1996), a current major ...

During the last decade, complex event processing (CEP) has emerged as a technological foundation for many time-critical monitoring applications. CEP is powerful, effective, easy to use and low in costs at the same time. Common CEP applications are for example stock-market analysis, detection of fraudulent credit card use, traffic monitoring and consumption forecasting in power grids. Many appli...

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Currently engineering efficient and successful event-driven applications based on the emerging Complex Event Processing (CEP) technology, is a laborious trial and error process. The proposed CEP design pattern approach should support CEP engineers in their design decisions for building robust and efficient CEP solutions with well understood tradeoffs and should enable an interdisciplinary and e...