Leyna Sadamori

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Utilities are currently deploying smart electricity meters in millions of households worldwide to collect fine-grained electricity consumption data. We present an approach to automatically analyzing this data to enable personalized and scalable energy efficiency programs for private households. In particular, we develop and evaluate a system that uses(More)
Interest in analyzing electricity consumption data of private households has grown steadily in the last years. Several authors have for instance focused on identifying groups of households with similar consumption patterns or on providing feedback to consumers in order to motivate them to reduce their energy consumption. In this paper, we propose to use(More)
The ongoing liberalization of the energy market makes energy providers increasingly look at premium services -- like personalized energy consulting -- as preferred methods to bind existing customers and attract new ones. Providing such services, however, requires knowledge of specific properties of the customer's household -- like its size and the number of(More)
In this paper, a Sparse Representation based Classification (SRC) approach is employed for mine hunting using Synthetic Aperture Sonar (SAS) images. Given a training database with enough samples, SRC exploits the properties of sparse signals and expresses a sample of unknown class as a sparse linear combination of the training samples. The class of the(More)
We present a novel approach to developing a vehicle communication platform consisting of a low-cost, open-source hardware for moving vehicle data to a secure server, a Web Application Programming Interface (API) for the provision of third-party services, and an intuitive user dashboard for access control and service distribution. The CloudThink(More)
Utilities increasingly leverage knowledge on their customer’s household characteristics in their energy efficiency programs. Examples of such characteristics include the number of persons per household, their employment status, or the type of dwelling they live in. This information allows utilities to personalize energy efficiency campaigns, which increases(More)
In the context of automatic detection and classification for mine hunting applications, a high quality segmentation of sonar images is mandatory. Assuming a Markov Random Fields representation of the images, we propose a min-cut/max-flow segmentation algorithm. We introduce an original initialization of the graph cut algorithm based on the segmentation(More)
The use of Multiple Input Multiple Output (MIMO) techniques for Power Line Communications (PLC) has been proven for the consumer market. As of 2011, MIMO is part of two PLC standards and products are already available for end users. PLC for avionics on the other hand is a niche technology. Fulfilling the high demands for safety-critical components makes the(More)
Many Power Line Communication (PLC) systems operate on top of multi-conductor infrastructures, which allows for the adoption of Multiple Input Multiple Output (MIMO) techniques. Current channel models for MIMO PLC do not consider terminal conditions and are focused on optimizing the average case. For safety-critical applications, however, the line(More)
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