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Requirements: • The situations in which users perform their activities in urban spaces are characterized by various types of context. • The same piece of information may have different levels of significance for people acting in specific roles. People in specific situations Relevant Information The ambulance approaching to the incident spot An traffic alert(More)
This paper applied LDA and regression analysis to conduct a lead-lag analysis to identify different topic evolution patterns between preprints and papers from arXiv and Web of Science (WoS) in astrophysics over the last twenty years (1992-2011). Fifty topics in arXiv and WoS were generated using an LDA algorithm and then regression models were used to(More)
In order to support police officers in their daily activities, we have designed a rule-based system which can deliver contextualized information to police officers, thus supporting decision making. In particular, we present a framework that has been designed on the basis of requirements elicited in a previous study, focusing on the rule language and the(More)
Coupled modified nonlinear Schrödinger(CMNLS) equations describe the pulse propagation in the picosecond or femtosecond regime of the birefringent optical fibers. In this paper, we use the Fokas method to analyze the initialboundary value problem for the CMNLS equations on the half-line. Assume that the solution u(x, t) and v(x, t) of CMNLS equations are(More)
Surface topography has significant influence on good and fast osseointegration of biomedical implants. In this work, ultrasonic shot peening was conducted to modify titanium to produce nanograined (NG) surface. Its ability to induce new bone formation was evaluated using an in vivo animal model. We demonstrated that the NG surface enhanced osteoblast(More)
A key challenge for personalized mobile search is to tailor the answers to the specific user by considering her contextual situation. To adapt the retrieved items to user’s context, this paper presents a preference-enabled querying mechanism for personalized mobile search. By exploiting the user’s dialogue history, we infer the weighted user preferences and(More)
We present a rule-based architecture (CIDA) for the provision of relevant information tailored to the user's current context, which consists of an ontology-based context model (ConAD) and a rule engine (RARE). ConAD is extensible to characterize the contextual situations in urban environments, and RARE supports the reconfiguration of the behavior of systems(More)