Simple Indoor Path Loss Prediction Algorithm and Validation in Living Lab Setting

Evolving CSP Algorithm in Predicting the Path Loss of Indoor Propagation Models

Constraint programming is the study of system which is based on constraints. The solution of a constraint satisfaction problem is a set of variable value assignments, which satisfies all members of the set of constraints in the CSP. In this paper the application of constraint satisfaction programming is used in predicting the path loss of various indoor propagation models using chronological ba...

Path Loss Prediction by Robust Regression Methods

ASIPATH: A Simple Path Mining Algorithm

A SImple yet very efficient PATH mining algorithm (ASIPATH) is introduced in this paper to analyze the click stream data. As in the case of the preceding sequence mining algorithm (webSPADE), ASIPATH requires only one full scan of the data and several partial scans. In parallel algorithm design, it is very common to parallelize a serial algorithm, but ASIPATH is designed for multi-CPU and share...

Evaluating ‘Quality of Experience’ of mobile applications and services in a Living Lab setting

This short paper frames the importance of the Quality of Experience in the contemporary ICT environment and links it to the shift towards more user-centric approaches in innovation research. The relevance of the Living Labs approach for QoE measurement is discussed. A software tool that is based on a distributed architecture in which monitored Quality of Service (QoS) parameters, context inform...

Coordination and Participation in Living Lab Networks

Familiarity with user requirements and preferences is a prerequisite for companies and organizations. Engaging users as a part of innovation has been shown to increase company performance across various industries (Edvardsson et al., 2010; tinyurl.com/3exkqua). Engaging and involving customers and users as co-developers of innovation strengthen that trend; users participate in many ways to deve...