Latest Publications
Energy disaggregation using variational autoencoders
Non-intrusive load monitoring (NILM) is a technique that uses a single sensor to measure the total power consumption of a building. Using an energy disaggregation method, the consumption of individual appliances can be estimated from the aggregate measurement. Recent disaggregation […]
Crosstalk Suppression in Semi-Intrusive Load Monitoring Systems Using Hall Effect Sensors
Semi-intrusive load monitoring (SILM) is an appliance load monitoring approach using multiple meters, each meter measuring power for a subgroup of appliances. As an effective solution for demand response programs, SILM is used to get granular power measurements at the […]
OpenFlow Rule Placement In Carrier Networks For Augmented Reality Applications
Today, mobile consumers increasingly use Augmented Reality (AR) devices to stream personal video through carrier networks. Thanks to its flexibility, Software-Defined Networking (SDN) is deployed in many carrier networks to support end-to-end network-slicing, which is substantial for these AR applications. […]
TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains
Since multispectral images (MSIs) and RGB images (RGBs) have significantly different definitions and severely imbalanced information entropies, the spectrum transformation between them, especially reconstructing MSIs from RGBs, is a big challenge. We propose a new approach, the Taiji Generative Neural […]
