ORCID Profile
0000-0001-9082-3243
Current Organisations
Eberhard Karls Universität Tübingen
,
Commonwealth Scientific and Industrial Research Organisation (CSIRO)
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2022
Publisher: Elsevier BV
Date: 04-2015
DOI: 10.1016/J.TIBTECH.2015.01.003
Abstract: 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 manual biosecurity surveillance methods are limited by their scalability in space and time. This article focuses on autonomous surveillance systems, comprising sensor networks, robots, and intelligent algorithms, and their applicability to biosecurity threats. We discuss the spatial and temporal attributes of autonomous surveillance technologies and map them to three broad categories of biosecurity threat: (i) vector-borne diseases (ii) plant pests and (iii) aquatic pests. Our discussion reveals a broad range of opportunities to serve biosecurity needs through autonomous surveillance.
Publisher: The Royal Society
Date: 03-2015
Abstract: We present a simple model to study Lévy-flight foraging with a power-law step-size distribution in a finite landscape with countable targets. We find that different optimal foraging strategies characterized by a wide range of power-law exponent μ opt , from ballistic motion ( μ opt → 1) to Lévy flight (1 μ opt 3) to Brownian motion ( μ opt ≥ 3), may arise in adaptation to the interplay between the termination of foraging, which is regulated by the number of foraging steps, and the environmental context of the landscape, namely the landscape size and number of targets. We further demonstrate that stochastic returning can be another significant factor that affects the foraging efficiency and optimality of foraging strategy. Our study provides a new perspective on Lévy-flight foraging, opens new avenues for investigating the interaction between foraging dynamics and the environment and offers a realistic framework for analysing animal movement patterns from empirical data.
Publisher: IEEE
Date: 04-2020
Publisher: ACM
Date: 13-11-2013
Publisher: ACM
Date: 11-11-2013
Publisher: Association for Computing Machinery (ACM)
Date: 08-2010
Abstract: Mobile wireless sensors require position updates for tracking and navigation. We present a localization technique that uses the Doppler shift in radio transmission frequency observed by stationary sensors. We consider two scenarios. In the first, the mobile node is carried by a person. In the second, the mobile node controls a robot. In both approaches the mobile node transmits an RF signal, and infrastructure nodes measure the Doppler-shifted frequency. Such measurements enable us to calculate the position and velocity of the mobile transmitter. Our experimental results demonstrate that this technique is viable and accurate for resource-constrained mobile sensor tracking and navigation.
Publisher: ACM
Date: 14-10-2022
Publisher: Elsevier BV
Date: 08-2021
Publisher: MDPI AG
Date: 19-10-2012
DOI: 10.3390/JSAN1030183
Abstract: Long-term outdoor localization remains challenging due to the high energy profiles of GPS modules. Duty cycling the GPS module combined with inertial sensors can improve energy consumption. However, inertial sensors that are kept active all the time can also drain mobile node batteries. This paper proposes duty cycling strategies for inertial sensors to maintain a target position accuracy and node lifetime. We present a method for duty cycling motion sensors according to features of movement events, and evaluate its energy and accuracy profile for an empirical data trace of cattle movement. We further introduce the concept of group-based duty cycling, where nodes that cluster together can share the burden of motion detection to reduce their duty cycles. Our evaluation shows that both variants of motion sensor duty cycling yield up to 78% improvement in overall node power consumption, and that the group-based method yields an additional 20% power reduction during periods of low mobility.
Publisher: ACM
Date: 16-04-2019
Publisher: Elsevier BV
Date: 04-2020
Publisher: ACM
Date: 08-04-2013
Publisher: ACM
Date: 29-10-2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2023
Publisher: Elsevier BV
Date: 12-2013
Publisher: Wiley
Date: 18-05-2021
DOI: 10.1002/ECE3.7656
Abstract: Animal movement studies are conducted to monitor ecosystem health, understand ecological dynamics, and address management and conservation questions. In marine environments, traditional s ling and monitoring methods to measure animal movement are invasive, labor intensive, costly, and limited in the number of in iduals that can be feasibly tracked. Automated detection and tracking of small‐scale movements of many animals through cameras are possible but are largely untested in field conditions, h ering applications to ecological questions. Here, we aimed to test the ability of an automated object detection and object tracking pipeline to track small‐scale movement of many in iduals in videos. We applied the pipeline to track fish movement in the field and characterize movement behavior. We automated the detection of a common fisheries species (yellowfin bream, Acanthopagrus australis) along a known movement passageway from underwater videos. We then tracked fish movement with three types of tracking algorithms (MOSSE, Seq‐NMS, and SiamMask) and evaluated their accuracy at characterizing movement. We successfully detected yellowfin bream in a multispecies assemblage (F1 score =91%). At least 120 of the 169 in idual bream present in videos were correctly identified and tracked. The accuracies among the three tracking architectures varied, with MOSSE and SiamMask achieving an accuracy of 78% and Seq‐NMS 84%. By employing this integrated object detection and tracking pipeline, we demonstrated a noninvasive and reliable approach to studying fish behavior by tracking their movement under field conditions. These cost‐effective technologies provide a means for future studies to scale‐up the analysis of movement across many visual monitoring systems.
Publisher: MDPI AG
Date: 22-12-2017
DOI: 10.3390/S18010011
Publisher: ACM
Date: 14-10-2022
Publisher: Elsevier BV
Date: 08-2016
Publisher: SCITEPRESS - Science and Technology Publications
Date: 2019
Publisher: IEEE
Date: 12-2017
Publisher: Springer International Publishing
Date: 2014
Publisher: Association for Computing Machinery (ACM)
Date: 07-2012
Abstract: Location awareness is a key requirement for many pervasive applications. Collaborative localization can improve accuracy and coverage indoors and improve power consumption by duty-cycling GPS outdoors. We use Bluetooth for collaborative localization of mobile personal devices. Specifically, we embed information in Bluetooth device names to improve latency of information exchange between participating nodes. We identify and demonstrate on real hardware two problems in the Bluetooth stack that negatively impact localization accuracy: a) device name caching that introduces significant device-specific delays in transmitting information between nodes, and b) poor accuracy of time synchronization in modern mobile devices. Our solution is to append additional time information to the device name and track time offsets between nodes. We verify experimentally that this helps to both detect outliers and correct for time-synchronization errors and thus mitigate localization errors.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 11-2016
Publisher: Association for Computing Machinery (ACM)
Date: 27-09-2023
DOI: 10.1145/3610913
Publisher: MDPI AG
Date: 06-12-2016
DOI: 10.3390/JSAN5040018
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 08-2016
Publisher: Wiley
Date: 2015
DOI: 10.1111/EMR.12145
Publisher: Association for Computing Machinery (ACM)
Date: 2014
DOI: 10.1145/2530291
Abstract: Radio connectivity in wireless sensor networks is highly intermittent due to unpredictable and time-varying noise and interference patterns in the environment. Because link qualities are not predictable prior to deployment, current deterministic solutions to unreliable links, such as increasing network density or transmission power, require overprovisioning of network resources and do not always improve reliability. We propose a new dual-radio network architecture to improve communication reliability in wireless sensor networks. Specifically, we show that radio transceivers operating at well-separated frequencies and spatially separated antennas offer robust communication, high link ersity, and better interference mitigation. We derive the optimal parameters for the dual-transceiver setup from frequency and space ersity in theory. We observe that frequency ersity holds the most benefits as long as the antennas are sufficiently separated to prevent coupling. Our experiments on an indoor/outdoor testbed confirm the theoretical predictions and show that radio ersity can significantly improve end-to-end delivery rates and network stability at only a small increase in energy cost over a single radio. Simulation experiments further validate the improvements in multiple topology configurations, but also reveal that the benefits of radio ersity are coupled to the number of available routing paths to the destination.
Publisher: IEEE
Date: 29-11-2020
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2015
Publisher: IEEE
Date: 10-2015
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2020
Publisher: Association for Computing Machinery (ACM)
Date: 27-03-2023
DOI: 10.1145/3580878
Abstract: 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 investigations confirm that even under the same light source, different locations exhibit slightly different spectral distribution due to reflections from their localised environment containing different materials or colours. By exploiting this observation, we propose Spectral-Loc, a novel indoor localization system that uses light spectral information to identify the location of the device. With spectral sensors finding their way into the latest products and applications, such as white balancing in smartphone photography, Spectral-Loc can be readily deployed without requiring any additional hardware or infrastructure. We prototype Spectral-Loc using a commercial-off-the-shelf light spectral sensor, AS7265x, which can measure light intensity over 18 different wavelength sub-bands. We benchmark the localization accuracy of Spectral-Loc against the conventional light intensity sensors that provide only a single intensity value. Our evaluations over two different indoor spaces, a meeting room, and a large office space, demonstrate that the use of light spectral information significantly reduces the localization error for the different percentiles.
Publisher: Elsevier BV
Date: 10-2020
Publisher: IEEE
Date: 22-03-2021
Publisher: Elsevier BV
Date: 07-2023
Publisher: ACM
Date: 26-10-2023
Publisher: IEEE
Date: 10-2013
Publisher: IEEE
Date: 05-2016
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2018
Publisher: Elsevier BV
Date: 2019
Publisher: IEEE
Date: 10-2016
Publisher: IEEE
Date: 10-2014
DOI: 10.1109/MASS.2014.30
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2023
Publisher: CSIRO
Date: 2015
DOI: 10.25919/7WC4-HW54
Publisher: ACM
Date: 11-11-2013
Publisher: IEEE
Date: 11-2015
Publisher: Springer International Publishing
Date: 20-12-2014
Publisher: IEEE
Date: 10-2017
Publisher: Springer International Publishing
Date: 2022
Publisher: Association for Computing Machinery (ACM)
Date: 11-2013
DOI: 10.1145/2529981
Abstract: Location sensing provides endless opportunities for a wide range of applications in GPS-obstructed environments, where, typically, there is a need for a higher degree of accuracy. In this article, we focus on robust range estimation , an important prerequisite for fine-grained localization. Motivated by the promise of acoustic in delivering high ranging accuracy, we present the design, implementation, and evaluation of acoustic (both ultrasound and audible) ranging systems. We distill the limitations of acoustic ranging and present efficient signal designs and detection algorithms to overcome the challenges of coverage, range, accuracy/resolution, tolerance to Doppler's effect, and audible intensity. We evaluate our proposed techniques experimentally on TWEET, a low-power platform purpose-built for acoustic ranging applications. Our experiments demonstrate an operational range of 20m (outdoor) and an average accuracy ≈2cm in the ultrasound domain. Finally, we present the design of an audible-range acoustic tracking service that encompasses the benefits of a near-inaudible acoustic broadband chirp and approximately two times increase in Doppler tolerance to achieve better performance.
Publisher: IEEE
Date: 11-2012
Publisher: Springer International Publishing
Date: 20-12-2013
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 12-2015
Location: Australia
No related grants have been discovered for Brano Kusy.