Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Konstantinos Tountas"'
Autor:
George Sklivanitis, Adam Gannon, Konstantinos Tountas, Dimitris A. Pados, Stella N. Batalama, Stephen Reichhart, Michael Medley, Ngwe Thawdar, Ulysses Lee, John D. Matyjas, Scott Pudlewski, Andrew Drozd, Ashwin Amanna, Fred Latus, Zachary Goldsmith, David Diaz
Publikováno v:
IEEE Access, Vol 6, Pp 47217-47239 (2018)
We design, develop, and experimentally validate a complete integrated software/hardware platform for airborne cognitive networking in both indoor and outdoor environments. We first present the concept of all-spectrum cognitive networking and describe
Externí odkaz:
https://doaj.org/article/9d3be9ee89c1482ca8ab5b30a61a0667
Autor:
Dimitris A. Pados, Konstantinos Tountas, Aditya R. Nayak, Kavita Varma, Lisa Nyman, George Sklivanitis
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
Studying and monitoring plankton distribution is vital for global climate and environment protection as they are the most elementary part of oceanic eco-systems. However, the conventional methods and techniques used for understanding the planktons ar
Autor:
Nicholas Tsagkarakis, George Sklivanitis, Konstantinos Tountas, Dimitris A. Pados, Stella N. Batalama
Publikováno v:
ICASSP
We prove, for the first time in the literature of communication theory and machine learning, the equivalence of joint maximum-likelihood (ML) optimal channel estimation and data detection (JOCEDD) to the problem of finding the L 1 -norm principal com
Autor:
Stella N. Batalama, Dimitris A. Pados, Adam Gannon, Andrew L. Drozd, David Diaz, George Sklivanitis, John D. Matyjas, Stephen Reichhart, Ngwe Thawdar, Ashwin Amanna, Zachary Goldsmith, Fred Latus, Michael J. Medley, Ulysses Lee, Konstantinos Tountas, Scott Pudlewski
Publikováno v:
IEEE Access, Vol 6, Pp 47217-47239 (2018)
We design, develop, and experimentally validate a complete integrated software/hardware platform for airborne cognitive networking in both indoor and outdoor environments. We first present the concept of all-spectrum cognitive networking and describe
Publikováno v:
ACSSC
Modern big and multi-modal datasets often contain corrupted entries or outliers. Standard methods for multi-way/tensor data analysis, relying on L2-norm formulations, are often very sensitive to such dataset corruptions. A new paradigm in data analys
Publikováno v:
OCEANS 2019 MTS/IEEE SEATTLE.
We consider the problem of robust self-localization of underwater robots with no GPS assistance and no availability of global clock synchronization. In particular, we consider self-localization of autonomous underwater vehicles that are equipped with
Autor:
Tsung-Chow Su, George Sklivanitis, Konstantinos Tountas, Dimitris A. Pados, Yanjun Li, Jordan Thomas, Bing Ouyang
Publikováno v:
OCEANS 2019 MTS/IEEE SEATTLE.
We consider underwater target detection by using a novel active, self-contained and rapidly deployable underwater inflatable co-prime sonar array (UICSA). In particular, we measure the received signal strength (RSS) and angle-of-arrival (AoA) of acou
Publikováno v:
Big Data: Learning, Analytics, and Applications.
Multi-modal tensor data sets arise with increasing frequency in modern day scientific and engineering applications, for example in biomedical sciences and autonomous engineered systems. Over the past twenty years, tensor-domain data analysis has been
Publikováno v:
ICASSP
We envision dense network deployments of Internet-of-Things (IoT) connected devices that report data to a common base station (BS). The devices utilize repeats of a basic shaping pulse occupying the entire continuum of the device-accessible spectrum.
Publikováno v:
WF-IoT
We consider the problem of attack detection for IoT networks based only on passively collected network parameters. For the first time in the literature, we develop a blind attack detection method based on data conformity evaluation. Network parameter