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Demonstration of a Space Capable Miniature Dual Frequency GNSS Receiver

E. Glenn Lightsey, Todd E. Humphreys, Jahshan A. Bhatti, Andrew J. Joplin, Brady W. O'Hanlon, Steven P. Powell
2014 Navigation  
In preparation for upcoming space flights, FOTON was also designed for operation in low Earth orbit.  ...  (2) estimation of spacecraft spin rate by exploiting differential GPS phase windup in a dual frequency receiver, and (3) GPS-based measurement of the vertical electron density profile in aurora.  ...  ACKNOWLEDGMENTS The authors wish to thank Ummon Karpe for useful discussions and preliminary analysis of the FOTON data.  ... 
doi:10.1002/navi.52 fatcat:nyedmbfoyvegbpgiuetasxqaei

Adversarial genetic programming for cyber security: a rising application domain where GP matters

Una-May O'Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Dennis Garcia, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
2020 Genetic Programming and Evolvable Machines  
Additionally, it prompts research questions around evolving complex behavior by expressing different abstractions with GP and opportunities to reconnect to the Machine Learning, Artificial Life, Agent-Based  ...  Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters.  ...  Others study botnet detection with GP under streaming data label budgets and class imbalance [65] .  ... 
doi:10.1007/s10710-020-09389-y fatcat:pptcxqfc6zeptdstzl3ipewrym

Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters

Una-May O'Reilly, Jamal Toutouh, Marcos Pertierra, Daniel Prado Sanchez, Anthony Erb Luogo, Jonathan Kelly, Erik Hemberg
2020 Zenodo  
Additionally, it prompts research questions around evolving complex behavior by expressing different abstractions with GP and opportunities to reconnect to the machine learning, artificial life, agent-based  ...  Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters.  ...  Others study botnet detection with GP under streaming data label budgets and class imbalance [65] .  ... 
doi:10.5281/zenodo.4593284 fatcat:mpwyc4xbhbhahlaagf44a22abe

Open challenges for data stream mining research

Georg Krempl, Myra Spiliopoulou, Jerzy Stefanowski, Indre Žliobaite, Dariusz Brzeziński, Eyke Hüllermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi
2014 SIGKDD Explorations  
This article presents a discussion on eight open challenges for data stream mining.  ...  The resulting analysis is illustrated by practical applications and provides general suggestions concerning lines of future research in data stream mining.  ...  on the challenges in stream mining.  ... 
doi:10.1145/2674026.2674028 fatcat:y3bozzeohveibgxb5wmiwfcogm

D3.6 Monitoring and Analytics (Release B)

5Genesis
2021 Zenodo  
Only trajectories with labels could be utilized to determine the accuracy of the classification algorithm, which reduced the set.  ...  (percentage) for TX rxtx_delay_min TX-RX delay min * rxtx_delay_max TX-RX delay max * rxtx_delay_avg TX-RX delay average * * RX/TX delay is the remaining time before data are processed  ... 
doi:10.5281/zenodo.5769560 fatcat:jhqs6zl7mbaejdsggpubvj56au

Reducing Efficiency of Connectivity-Splitting Attack on Newscast via Limited Gossip [chapter]

Jakub Muszyński, Sébastien Varrette, Pascal Bouvry
2016 Lecture Notes in Computer Science  
Cont EuroGP session 1 : Models of Evolution On the Impact of Class Imbalance in GP Streaming Classification with Label Budgets Sara Khanchi, Malcolm I.  ...  Specific examples include, anytime operation, non-stationary processes, and limited label budgets.  ... 
doi:10.1007/978-3-319-31204-0_20 fatcat:27rnwllk75cv5kncys2u7utreq

Transport-domain applications of widely used data sources in the smart transportation: A survey [article]

Sina Dabiri, Kevin Heaslip
2018 arXiv   pre-print
social networks, 5) transit data with the focus on smart cards, and 6) environmental data.  ...  For each data source, first, the operational mechanism of the technology for capturing the data is succinctly demonstrated.  ...  Furthermore, properly assigning budgets for expanding transit services in areas with higher transportation demand results in not only making balance between demand and supply but minimizing energy consumption  ... 
arXiv:1803.10902v3 fatcat:tc67qy4x4vbtjb76qi6mbwrqy4

Biasing and Demodulation Firmware for Kilopixel TES Bolometer Arrays [article]

Graeme Smecher and Francois Aubin and Eric Bissonnette and Matt Dobbs and Peter Hyland and Kevin MacDermid
2011 arXiv   pre-print
This system replaces a mixed-signal readout backend with a much smaller, more power-efficient system relying on Field-Programmable Gate Arrays (FPGAs) for control, computation and signal processing.  ...  We describe the signal-processing firmware and software for a frequency-domain multiplexed (FDM) biasing and demodulation system that reads out Transition Edge Sensor (TES) bolometer arrays for mm-wavelength  ...  This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canadian Institute for Advance Research and the Canada Research Chairs program.  ... 
arXiv:1008.4587v2 fatcat:rnd7bst6enafpo4u7ofpy6h2ai

GIS Mashups [chapter]

Ilya Zaslavsky
2017 Encyclopedia of GIS  
Definition Gaussian processes (GPs) are local approximation techniques that model spatial data by placing (and updating) priors on the covariance structures underlying the data.  ...  It took more than a decade from this point for the larger computer science community to investigate GPs for pattern analysis purposes.  ...  These "wet" and "hydrostatic" delays are along the line of sight from a receiver to a GPS satellite. Separate mapping functions are used to convert from a line of sight to a zenith delay.  ... 
doi:10.1007/978-3-319-17885-1_530 fatcat:rrr5buo3zrevpigdtjwhewipvm

Resource-Constrained Machine Learning for ADAS: A Systematic Review

Juan Borrego-Carazo, David Castells-Rufas, Ernesto Biempica, Jordi Carrabina
2020 IEEE Access  
The usual solution consists in adapting the ML models to comply with the memory and real-time (RT) requirements for inference.  ...  In most cases, the computational resources and power budget found in ADAS systems are constrained while most machine learning methods are computationally intensive.  ...  The core of the study consists in injecting errors in the data streams to see the robustness of the system.  ... 
doi:10.1109/access.2020.2976513 fatcat:mgoek62t6zhp3hikgqv36ibpua

A Gamified Simulator and Physical Platform for Self-Driving Algorithm Training and Validation

Georgios Pappas, Joshua E. Siegel, Konstantinos Politopoulos, Yongbin Sun
2021 Electronics  
As proof-of-concept, the simulator is used to capture lane-following data from AI-driven and human-operated agents, with these data training line following Convolutional Neural Networks that transfer without  ...  We identify the need for an easy-to-use self-driving simulator where game mechanics implicitly encourage high-quality data capture and an associated low-cost physical test platform.  ...  Acknowledgments: We thank the NVIDIA Corporation for providing the Titan Xp GPU used in this research. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics10091112 fatcat:pmvr7x62wrdgvguvmwmg6uwtk4

Knowledge exchange in health-care commissioning: case studies of the use of commercial, not-for-profit and public sector agencies, 2011–14

Lesley Wye, Emer Brangan, Ailsa Cameron, John Gabbay, Jonathan Klein, Catherine Pope
2015 Health Services and Delivery Research  
With another, the benefits were largely still notional and with a third views were largely positive, with some concerns about expense.  ...  from eight cases, where commercial and not-for-profit organisations were contracted.  ...  A major reason for disagreement is that health and social care have separate budgets, and so the classification of a particular need as 'health' or 'social' care has financial implications.  ... 
doi:10.3310/hsdr03190 fatcat:c766po66jzcdtgb6h45pciiufu

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2019 Budget Estimates

Department Of Defense Comptroller's Office
2018 Zenodo  
for long-term national security enhancement through the discovery of new phenomena and the exploration of the potential of such phenomena for defense applications.  ...  Defense Advanced Research Projects Agency (DARPA) Fiscal Year 2019 Budget Estimates (Justification Book) The DARPA Defense Research Sciences program elements (PE) seeks to provide the technical foundation  ...  objects that have come in contact with a labeled environment of interest.  ... 
doi:10.5281/zenodo.1215599 fatcat:kxduvg6a5nflhf6iilkwnolobu

Machine Learning Applications for Short Reach Optical Communication

Yapeng Xie, Yitong Wang, Sithamparanathan Kandeepan, Ke Wang
2022 Photonics  
km, where higher-speed connections are required in various applications, such as the optical access networks, inter- and intra-data center interconnects, mobile fronthaul, and in-building and indoor communications  ...  Due to its robust problem-solving, decision-making, and pattern recognition capabilities, ML techniques have become an essential solution for many challenging aspects.  ...  The input of FFNN comes from a tapped delay line, which generates a delayed input time series data.  ... 
doi:10.3390/photonics9010030 fatcat:n436p2z4vvbhlltafonxxnai5y

Transitions at the end of life for older adults – patient, carer and professional perspectives: a mixed-methods study

Barbara Hanratty, Elizabeth Lowson, Gunn Grande, Sheila Payne, Julia Addington-Hall, Nicole Valtorta, Jane Seymour
2014 Health Services and Delivery Research  
derived from the interviews with carers; and (4) analysis of linked Hospital Episode Statistics (HES) and mortality data relating to hospital admissions for heart failure and lung cancer in England 2001  ...  The general practitioner (GP) was a valued, central figure in end-of-life care across settings, though other disciplines were critical of GPs' expertise and adherence to guidelines.  ...  Acknowledgements T his work would not have been possible without the generosity of patients, carers and professionals who gave their time to be interviewed and share their experiences with us.  ... 
doi:10.3310/hsdr02170 fatcat:ucxd5j22vjh5fam7jibfod5mdu
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