Context Aware Browser

I will present the Context Aware Browser, a novel paradigm for context-aware access to Web contents with mobile devices. The idea is to allow automatic download of Web pages, and even automatic execution of Web applications, on user\u27s own mobile device. The Web resources are not simply pushed on the mobile device; rather, they are selected on the basis of the context the user is in: context data (mainly location, but not only) are used to build a query sent to an external search engine, that selects the most relevant Web content. I will describe the idea, provide some examples, show a video of a recently built prototype, present implementation issues, discuss our specific evaluation methodology and the results, and sketch future work and problems. This is an ongoing project, started about five years ago; it is joint work with the Context Aware and Mobile Systems laboratory (smdc.uniud.it) and the MoBe spinoff (www.mobe.it) at Udine University

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)

Relieving Flow Limits in Continuation Power Flows by Generation Rescheduling

peer reviewedThis paper explores an idea to handle flow limits, by means of generation rescheduling before reaching system hard limits, by extension and reformulation of continuation power flow problem. In particular, we focus on the reformulation and extension of a “standard” continuation power flow method so that include generator rescheduling when a flow on a given line exceeds some specified limit, and provide details on analytical expressions to determine most effective generators to be assigned for the limit handling. Four options for active generation rescheduling are considered: based on topology analysis, sensitivity studies, generator margins, and cost considerations. Results of the tests obtained using the IEEE-39 and IEEE-118 bus systems are given to illustrate the performance of the methodology. We also discuss possible extensions of the approac

Application of a data minig based technique for the evaluation of transmission expansion plans

peer reviewedThis paper describes a methodology for the study of long-term network planning under uncertainties. In this approach the major external uncertainties during the planning horizon are modelled as macro-scenarios at different future time instants. The random nature of actual operating conditions is taken into account by using a probabilistic model of micro-scenarios based on past statistics. MonteCarlo simulations are used to generate and simulate a specified number of scenarios. Data mining techniques are then applied to the simulations results collected in a database, so as to extract information and to rank scenarios and network reinforcements according to different performance criteria. The paper describes the application of this approach on a real transmission planning problem faced by the Belgian transmission system operator

Collaborative Annotation for Context-Aware Retrieval

We discuss how collaborative annotations can be exploited to simplify and improve the management of context and resources in the context-aware retrieval field. We apply this approach to our Context Aware Browser, a general purpose solution to Web content perusal by means of mobile devices, based on the user’s context. Instead of relying on a pool of experts and on a rigid categorization, as it is usually done in the context-aware field, our solution allows the crowd of users to model, control and manage the contextual knowledge through collaboration and participation. We propose two models and we outline an example of application. 1