Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ardakanian, Omid"'
Optimizing the configuration and placement of sensors is crucial for reliable fall detection, indoor localization, and activity recognition in assisted living spaces. We propose a novel, sample-efficient approach to find a high-quality sensor placeme
Externí odkaz:
http://arxiv.org/abs/2309.05784
The proliferation of IoT and mobile devices equipped with heterogeneous sensors has enabled new applications that rely on the fusion of time-series data generated by multiple sensors with different modalities. While there are promising deep neural ne
Externí odkaz:
http://arxiv.org/abs/2303.04636
Autor:
Yang, Xin, Ardakanian, Omid
Publikováno v:
ACM Transactions on Sensor Networks 20 (2023) 1-32
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 distributio
Externí odkaz:
http://arxiv.org/abs/2209.12046
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. This paper proposes a novel false data injection attack (FDIA) against t
Externí odkaz:
http://arxiv.org/abs/2203.05087
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. The ability to estimate solar gener
Externí odkaz:
http://arxiv.org/abs/2105.08122
Publikováno v:
ACM Transactions on Internet of Things 3 (2022) 1-26
The abundance of data collected by sensors in Internet of Things (IoT) devices, and the success of deep neural networks in uncovering hidden patterns in time series data have led to mounting privacy concerns. This is because private and sensitive inf
Externí odkaz:
http://arxiv.org/abs/2011.08315
Large commercial buildings are complex cyber-physical systems containing expensive and critical equipment that ensure the safety and comfort of their numerous occupants. Yet occupant and visitor access to spaces and equipment within these buildings a
Externí odkaz:
http://arxiv.org/abs/2010.08176
Publikováno v:
Energy & Buildings 238 (2021) 110836
Smart thermostats are one of the most prevalent home automation products. They learn occupant preferences and schedules, and utilize an accurate thermal model to reduce the energy use of heating and cooling equipment while maintaining the temperature
Externí odkaz:
http://arxiv.org/abs/2009.05889
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