Design and Implementation of Scenario-Based Collaborative Framework: XCREAM

Park, Kyung-Eun; Yun, Je-Kuk; Kim, Yanggon; Chang, Juno

doi:10.1109/icisa.2010.5480304

Cited by 4 publications

(2 citation statements)

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“…The extended XCREAM framework includes the XOnt Agent as well as other existing agents such as the Collector Agent, the Proxy Agent, the Event Activation Agent, the Web Application Service (WAS) Agent, and the Event Handler [11]. The XOnt Agent has context awareness capabilities which enables a certain condition to be matched with incoming events based on known facts and rules and actions executed [3], [8].…”

Section: The Extended Xcream Frameworkmentioning

confidence: 99%

“…The framework must be a robust and reliable infrastructure and be able to handle a huge amount of tag and sensor data and propagate them to the appropriate services according to predefined scenarios. These requirements led us to develop a scenario-based collaborative framework, the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware) framework, which seamlessly integrates numerous heterogeneous application services and plays an organizing role in today's pervasive computing environment [10], [11].…”

Section: Introductionmentioning

confidence: 99%

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Context-Aware Inference (CAI) Model on Smart Computing Environment

Park

Byun

Yun

et al. 2012

2012 International Conference on Information Science and Applications

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With the proliferation of smart computing equipment, the range of providing highly intelligent services is widely expanding in an attempt to include the present condition of each individual data source. Furthermore, broadly adopted RFID (Radio Frequency Identification) technology has led to the widespread application of automatic identification in numerous pervasive computing services including logistics, emergency control, and medical services. Another remarkable phenomenon is the explosively growing number of smartphone users, which allows them to stay connected to the Internet. The environment created by these factors, increases the need to make a decision out of the current context which can be inferred from various sensors and mobile devices. In response to the growing demand for the need to make a decision in the current context, the new XOnt Agent has been integrated into our collaboration middleware framework, the XCREAM (XLogic Collaborative RFID/USN-Enabled Adaptive Middleware). All the collected information should be examined too see if they meet any condition that triggers correspondent actions of a specific rule through reasoning process of a rule engine. We also suggest the context-aware inference (CAI) model to effectively support the reasoning and handling processes.

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Section: The Extended Xcream Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%