63 citations · 183 across the 9 of their papers we have counts for
14 papers
Spectral-Loc: Indoor Localization using Light Spectral Information
Yanxiang Wang, Jiawei Hu, Hong Jia +5
For indoor settings, we investigate the impact of location on the spectral distribution of the received light, i.e., the intensity of light for different wavelengths. Our investiga…
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…
Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT
Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa +3
Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is…
Multi-mode Tracking of a Group of Mobile Agents
Vikram Kumar, Reza Arablouei, Raja Jurdak +2
We consider the problem of tracking a group of mobile nodes with limited available computational and energy resources given noisy RSSI measurements and position estimates from grou…
RSSI-Based Self-Localization with Perturbed Anchor Positions
Vikram Kumar, Reza Arablouei, Raja Jurdak +2
We consider the problem of self-localization by a resource-constrained mobile node given perturbed anchor position information and distance estimates from the anchor nodes. We cons…
Cluster-based Position Tracking of Mobile Sensors
Vikram Kumar, Neil W. Bergmann, Izanoordina +2
Tracking movement of mobile nodes has received significant scientific and commercial interest, but long term tracking of resource-constrained mobile nodes remains challenging due t…
WLS-Based Self-Localization Using Perturbed Anchor Positions and RSSI Measurements
Vikram Kumar, Reza Arablouei, Brano Kusy +2
We consider the problem of self-localization by a resource-constrained node within a network given radio signal strength indicator (RSSI) measurements from a set of anchor nodes wh…
Fast and robust pushbroom hyperspectral imaging via DMD-based scanning
Reza Arablouei, Ethan Goan, Stephen Gensemer +1
We describe a new pushbroom hyperspectral imaging device that has no macro moving part. The main components of the proposed hyperspectral imager are a digital micromirror device (D…
A Novel Framework for Online Amnesic Trajectory Compression in Resource-constrained Environments
Jiajun Liu, Kun Zhao, Philipp Sommer +4
State-of-the-art trajectory compression methods usually involve high space-time complexity or yield unsatisfactory compression rates, leading to rapid exhaustion of memory, computa…
Fair Scheduling for Data Collection in Mobile Sensor Networks with Energy Harvesting
Kai Li, Chau Yuen, Branislav Kusy +4
We consider the problem of data collection from a continental-scale network of energy harvesting sensors, applied to tracking mobile assets in rural environments. Our application c…
Delay-Tolerant Networking for Long-Term Animal Tracking
Philipp Sommer, Branislav Kusy, Philip Valencia +2
Enabling Internet connectivity for mobile objects that do not have a permanent home or regular movements is a challenge due to their varying energy budget, intermittent wireless co…
Autonomous surveillance for biosecurity
Raja Jurdak, Alberto Elfes, Branislav Kusy +5
The global movement of people and goods has increased the risk of biosecurity threats and their potential to incur large economic, social, and environmental costs. Conventional man…
Novel Methods for Activity Classification and Occupany Prediction Enabling Fine-grained HVAC Control
Rajib Rana, Brano Kusy, Josh Wall +1
Much of the energy consumption in buildings is due to HVAC systems, which has motivated several recent studies on making these systems more energy- efficient. Occupancy and activit…
Optimal Lévy-flight foraging in a finite landscape
Kun Zhao, Raja Jurdak, Jiajun Liu +5
We present a simple model to study Lévy-flight foraging in a finite landscape with countable targets. In our approach, foraging is a step-based exploratory random search process wi…