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Found 8 papers, 2 papers with code
Grey-box Bayesian Optimization for Sensor Placement in Assisted Living Environments
Optimizing the configuration and placement of sensors is crucial for reliable fall detection, indoor localization, and activity recognition in assisted living spaces.
Robust Multimodal Fusion for Human Activity Recognition
Compared to 2 related robust fusion architectures, Centaur is more robust, achieving 11. 59-17. 52% higher accuracy in HAR, especially in the presence of consecutive missing data in multiple sensor channels.
Blinder: End-to-end Privacy Protection in Sensing Systems via Personalized Federated Learning
This paper proposes a sensor data anonymization model that is trained on decentralized data and strikes a desirable trade-off between data utility and privacy, even in heterogeneous settings where the sensor data have different underlying distributions.
False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation
With the large scale penetration of electric vehicles (EVs) and the advent of bidirectional chargers, EV aggregators will become a major player in the voltage regulation market.
A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation
With the emergence of cost effective battery storage and the decline in the solar photovoltaic (PV) levelized cost of energy (LCOE), the number of behind-the-meter solar PV systems is expected to increase steadily.
Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach
In the deterministic case, we use a linear transformation to move the representation of input data in the latent space such that the reconstructed data is likely to have the same public attribute but a different private attribute than the original input data.
On Identification of Distribution Grids
Large-scale integration of distributed energy resources into residential distribution feeders necessitates careful control of their operation through power flow analysis.
Inverse Power Flow Problem
We show that the admittance matrix can be uniquely identified from a sequence of measurements corresponding to different steady states when every node in the system is equipped with a measurement device, and a Kron-reduced admittance matrix can be determined even if some nodes in the system are not monitored (hidden nodes).
