Energy Disaggregation Using Elastic Matching Algorithms.

In this article an energy disaggregation architecture using elastic matching algorithms is presented. The architecture uses a database of reference energy consumption signatures and compares them with incoming energy consumption frames using template matching. In contrast to machine learning-based approaches which require significant amount of data to train a model, elastic matching-based approaches do not have a model training process but perform recognition using template matching. Five different elastic matching algorithms were evaluated across different datasets and the experimental results showed that the minimum variance matching algorithm outperforms all other evaluated matching algorithms. The best performing minimum variance matching algorithm improved the energy disaggregation accuracy by 2.7% when compared to the baseline dynamic time warping algorithm.

Gauge Fixing the Standard Model Effective Field Theory.

We gauge-fix the standard model effective field theory in a manner invariant under background-field gauge transformations using a geometric description of the field connections.

Introducing dAUTObase: a first step towards the global scale geoepidemiology of autoimmune syndromes and diseases.

MOTIVATION: An autoimmune disorder occurs when the immune system mistakenly attacks and destroys its own healthy body tissues. The initiation of a geoepidemiological database, for recording autoimmune incidents with a focus to clinical manifestations, demographic parameters and geographic background is crucial to detect correlations. RESULTS: The dAUTObase collects an ever increasing number of publications-currently counting 435-on autoimmune diseases' frequencies in various populations and ethnic groups. The respective data have been hosted by a web application developed for the task. It uses three data visualization tools: the PivotViewer, the Disease Treemap and the Disease World Map, to assist the effective data querying. AVAILABILITY AND IMPLEMENTATION: The dAUTObase 2.0 version (www.biodata.gr/dautobase) needs no registration for querying, but data entry and modification is reserved for registered users (curators-administrators). CONTACT: kpoulas@upatras.gr or tzimas@cti.gr.