A Rule-Based Approach Towards Context-Aware User Notification Services

Pervasive Computing is the vision of technology that is invisibly embedded in our natural surroundings. Users are offered unobtrusive services that require minimal attention. In this paper the Awareness and Notification Service (ANS) is presented that enables to rapidly build applications that inform users about their environment. Additionally, the service offers notifications tailored to the user's preferences and current context. ANS takes a rule based approach based on the Event-Condition-Action pattern. Users specify when and what should be notified to them by using a convenient ANS rule language. This flexible mechanism allows to rapidly develop applications that provide context-aware notifications without the need to write programming code to activate rules, nor to implement personalized notifications

On merging and dividing social graphs

Modeling social interaction can be based on graphs. However most models lack the flexibility of including larger changes over time. The Barabási-Albert-model is a generative model which already offers mechanisms for adding nodes. We will extent this by presenting four methods for merging and five for dividing graphs based on the Barabási- Albert-model. Our algorithms were motivated by different real world scenarios and focus on preserving graph properties derived from these scenarios. With little alterations in the parameter estimation those algorithms can be used for other graph models as well. All algorithms were tested in multiple experiments using graphs based on the Barabási- Albert-model, an extended version of the Barabási-Albert-model by Holme and Kim, the Watts-Strogatz-model and the Erd˝os-Rényi-model. Furthermore we concluded that our algorithms are able to preserve different properties of graphs independently from the used model. To support the choice of algorithm, we created a guideline which highlights advantages and disadvantages of discussed methods and their possible use-cases

A Rule-Based Approach Towards Context-Aware User Notification Services

Pervasive Computing is the vision of technology that is invisibly embedded in our natural surroundings. Users are offered unobtrusive services that require minimal attention. In this paper the Awareness and Notification Service (ANS) is presented that enables to rapidly build applications that inform users about their environment. Additionally, the service offers notifications tailored to the user’s preferences and current context. ANS takes a rule based approach based on the Event- Condition-Action pattern. Users specify when and what should be notified to them by using a convenient ANS rule language. This flexible mechanism allows to rapidly develop applications that provide context-aware notifications without the need to write programming code to activate rules, nor to implement personalized notifications

Economic and environmental assessment of sewage sludge treatment processes application in Egypt

ABSTRAC