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Communication Systems and Applications

Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding


We describe a general framework for designing and embedding a fingerprint at the physical layer of a wireless network to achieve authentication with enhanced security and stealth. Fingerprint embedding is a key-aided process of superimposing a low-power tag to the primary message waveform for the purpose of authenticating the transmission. The tag is uniquely created from the message and key, and successful authentication is achieved when the correct tag is detected by the receiver.

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10 December 2018 - 11:28am
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PHY Security Seminar GlobalSIP 18 27 Nov 2018.pdf

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[1] , "Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3835. Accessed: Jan. 19, 2019.
@article{3835-18,
url = {http://sigport.org/3835},
author = { },
publisher = {IEEE SigPort},
title = {Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding},
year = {2018} }
TY - EJOUR
T1 - Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3835
ER -
. (2018). Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding. IEEE SigPort. http://sigport.org/3835
, 2018. Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding. Available at: http://sigport.org/3835.
. (2018). "Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding." Web.
1. . Cryptographic Side-Channel Signaling and Authentication via Fingerprint Embedding [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3835

Relay-Aided Secure Broadcasting for VLC

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Authors:
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor
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28 November 2018 - 2:48pm
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Presentation Slides

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[1] Ahmed Arafa, Erdal Panayirci, H. Vincent Poor, "Relay-Aided Secure Broadcasting for VLC", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3824. Accessed: Jan. 19, 2019.
@article{3824-18,
url = {http://sigport.org/3824},
author = {Ahmed Arafa; Erdal Panayirci; H. Vincent Poor },
publisher = {IEEE SigPort},
title = {Relay-Aided Secure Broadcasting for VLC},
year = {2018} }
TY - EJOUR
T1 - Relay-Aided Secure Broadcasting for VLC
AU - Ahmed Arafa; Erdal Panayirci; H. Vincent Poor
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3824
ER -
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. (2018). Relay-Aided Secure Broadcasting for VLC. IEEE SigPort. http://sigport.org/3824
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor, 2018. Relay-Aided Secure Broadcasting for VLC. Available at: http://sigport.org/3824.
Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. (2018). "Relay-Aided Secure Broadcasting for VLC." Web.
1. Ahmed Arafa, Erdal Panayirci, H. Vincent Poor. Relay-Aided Secure Broadcasting for VLC [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3824

Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading


To develop intelligent receivers, automatic modulation classification (AMC) plays an important role for better spectrum utilization. The emerging deep learning (DL) technique has received much attention in AMC due to its superior performance in classifying data with deep structure. In this work, a novel polar-based deep learning architecture with channel compensation network (CCN) is proposed. Our test results show that learning features from polar domain (r-θ) can improve recognition accuracy by 5% and reduce training overhead by 48%.

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Authors:
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu
Submitted On:
27 November 2018 - 6:59am
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2018 GlobalSIP Oral.pdf

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[1] Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3811. Accessed: Jan. 19, 2019.
@article{3811-18,
url = {http://sigport.org/3811},
author = {Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu },
publisher = {IEEE SigPort},
title = {Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading},
year = {2018} }
TY - EJOUR
T1 - Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading
AU - Ching-Chun Liao; Chun-Hsiang Chen; An-Yeu (Andy) Wu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3811
ER -
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. IEEE SigPort. http://sigport.org/3811
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu, 2018. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading. Available at: http://sigport.org/3811.
Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. (2018). "Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading." Web.
1. Ching-Chun Liao, Chun-Hsiang Chen, An-Yeu (Andy) Wu. Polar Feature Based Deep Architectures for Automatic Modulation Classification Considering Channel Fading [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3811

RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES

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26 November 2018 - 3:06am
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Poster for GlobalSIP

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[1] , "RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3776. Accessed: Jan. 19, 2019.
@article{3776-18,
url = {http://sigport.org/3776},
author = { },
publisher = {IEEE SigPort},
title = {RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES},
year = {2018} }
TY - EJOUR
T1 - RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3776
ER -
. (2018). RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES. IEEE SigPort. http://sigport.org/3776
, 2018. RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES. Available at: http://sigport.org/3776.
. (2018). "RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES." Web.
1. . RANDOMIZED METHOD FOR ESTIMATING THE VON NEUMANN ENTROPY OF LARGE-SCALE DENSITY MATRICES [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3776

PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME


One of the main issues in using a Low Earth Orbit (LEO) satellite constellation to extend a Low-Powered Wide Area Network is the frequency synchronization. Using a link based on random access solves this concern, but also prevents delivery guarantees,
and implies less predictable performance. This paper concerns the estimation of Bit Error Rate (BER) and Packet Error Rate (PER) using physical layer abstractions under a time and frequency random scheme, namely Time and Frequency Aloha. We first derive a BER

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Authors:
Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu
Submitted On:
23 November 2018 - 1:13pm
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CLUZEL_poster.pdf

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[1] Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu, "PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3752. Accessed: Jan. 19, 2019.
@article{3752-18,
url = {http://sigport.org/3752},
author = {Mathieu Dervin; José Radzik; Sonia Cazalens; Cédric Baudoin; Daniela Dragomirescu },
publisher = {IEEE SigPort},
title = {PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME},
year = {2018} }
TY - EJOUR
T1 - PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME
AU - Mathieu Dervin; José Radzik; Sonia Cazalens; Cédric Baudoin; Daniela Dragomirescu
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3752
ER -
Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu. (2018). PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME. IEEE SigPort. http://sigport.org/3752
Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu, 2018. PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME. Available at: http://sigport.org/3752.
Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu. (2018). "PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME." Web.
1. Mathieu Dervin, José Radzik, Sonia Cazalens, Cédric Baudoin, Daniela Dragomirescu. PHYSICAL LAYER ABSTRACTION FOR PERFORMANCE EVALUATION OF LEO SATELLITE SYSTEM FOR IOT USING TIME-FREQUENCY ALOHA SCHEME [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3752

IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION


In this paper the development and implementation of a Telecommand (TC) receiver application for microsatellite
communication is presented. The TC receiver application is executed and operated by a highly integrated Generic
Software-Defined Radio (GSDR) platform. This platform architecture is designed for the reliable operation of
multiple radio frequency applications on spacecraft. For the development and implementation process of the TC receiver application, a new model-based development workflow by Matlab/Simulink is used and evaluated

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19 November 2018 - 2:09am
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GlobalSIP 2018 Poster HDC TC GSDR.pdf

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[1] , "IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3683. Accessed: Jan. 19, 2019.
@article{3683-18,
url = {http://sigport.org/3683},
author = { },
publisher = {IEEE SigPort},
title = {IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION},
year = {2018} }
TY - EJOUR
T1 - IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3683
ER -
. (2018). IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION. IEEE SigPort. http://sigport.org/3683
, 2018. IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION. Available at: http://sigport.org/3683.
. (2018). "IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION." Web.
1. . IMPLEMENTATION OF A HDL-CODER BASED TELECOMMAND RECEIVER APPLICATION FOR MICROSATELLITE COMMUNICATION [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3683

Underwater Trajectory Estimation based on Grid Localization and Smoothing

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28 June 2018 - 9:19am
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Li_SAM2018.pdf

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[1] , "Underwater Trajectory Estimation based on Grid Localization and Smoothing", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3336. Accessed: Jan. 19, 2019.
@article{3336-18,
url = {http://sigport.org/3336},
author = { },
publisher = {IEEE SigPort},
title = {Underwater Trajectory Estimation based on Grid Localization and Smoothing},
year = {2018} }
TY - EJOUR
T1 - Underwater Trajectory Estimation based on Grid Localization and Smoothing
AU -
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3336
ER -
. (2018). Underwater Trajectory Estimation based on Grid Localization and Smoothing. IEEE SigPort. http://sigport.org/3336
, 2018. Underwater Trajectory Estimation based on Grid Localization and Smoothing. Available at: http://sigport.org/3336.
. (2018). "Underwater Trajectory Estimation based on Grid Localization and Smoothing." Web.
1. . Underwater Trajectory Estimation based on Grid Localization and Smoothing [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3336

Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry


The Viterbi algorithm and its pruning variant, are some of the most frequently used algorithms in communications and speech recognition. There has been extended research on improving the algorithms’ computational complexity, however work trying to interpret their nonlinear structure and geometry has been limited. In this work we analyse the Viterbi algorithm in the field of tropical (min-plus) algebra, and we utilize its pruning variant in order to define a polytope. Then, we interpret certain faces of the polytope as the most probable states of the algorithm.

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Authors:
Petros Maragos
Submitted On:
22 June 2018 - 8:25am
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Poster

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[1] Petros Maragos, "Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3292. Accessed: Jan. 19, 2019.
@article{3292-18,
url = {http://sigport.org/3292},
author = {Petros Maragos },
publisher = {IEEE SigPort},
title = {Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry},
year = {2018} }
TY - EJOUR
T1 - Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry
AU - Petros Maragos
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3292
ER -
Petros Maragos. (2018). Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry. IEEE SigPort. http://sigport.org/3292
Petros Maragos, 2018. Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry. Available at: http://sigport.org/3292.
Petros Maragos. (2018). "Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry." Web.
1. Petros Maragos. Analysis of the Viterbi Algorithm Using Tropical Algebra and Geometry [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3292

Implementation and measurement of Power Adapted-OFDM using OpenAirInterface


The Fifth Generation of mobile communications (5G) is being standardized in order to reach higher data rates and deploy new services. In this frame, researchers are looking for possible waveforms to improve the air interface. Orthogonal Frequency Division Multiplexing (OFDM) has high Out-of-Band Emissions (OBE) which force us to leave wider guard bands, reducing so the spectral efficiency. Recently, we have proposed the Power Adapted-OFDM which is capable of fulfilling the requirements of 5G and avoids the main issues of other proposed candidates.

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Authors:
Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada
Submitted On:
21 June 2018 - 5:16am
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conference_poster_6.pdf

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[1] Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada, "Implementation and measurement of Power Adapted-OFDM using OpenAirInterface", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3281. Accessed: Jan. 19, 2019.
@article{3281-18,
url = {http://sigport.org/3281},
author = {Kun Chen-Hu;Florian Kaltenberger;Ana Garcia Armada },
publisher = {IEEE SigPort},
title = {Implementation and measurement of Power Adapted-OFDM using OpenAirInterface},
year = {2018} }
TY - EJOUR
T1 - Implementation and measurement of Power Adapted-OFDM using OpenAirInterface
AU - Kun Chen-Hu;Florian Kaltenberger;Ana Garcia Armada
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3281
ER -
Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada. (2018). Implementation and measurement of Power Adapted-OFDM using OpenAirInterface. IEEE SigPort. http://sigport.org/3281
Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada, 2018. Implementation and measurement of Power Adapted-OFDM using OpenAirInterface. Available at: http://sigport.org/3281.
Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada. (2018). "Implementation and measurement of Power Adapted-OFDM using OpenAirInterface." Web.
1. Kun Chen-Hu,Florian Kaltenberger,Ana Garcia Armada. Implementation and measurement of Power Adapted-OFDM using OpenAirInterface [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3281

Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning


In this paper, we propose a new sparse dictionary learning scheme for lossy compression of seismic signals collected at a single sensor from multiple source shots. The method leverages the entropy constraint and delay compensation for dictionary learning. Using the proposed method for delay compensation in seismic data squeezes more redundancy out of the data which results in a sparser representation for a given dictionary. The objective of entropy constraint term in dictionary learning is to make the sparse coefficients tailored to the compression objective.

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Authors:
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri
Submitted On:
21 June 2018 - 4:55am
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SPAWC_poster.pdf

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[1] Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri, "Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3280. Accessed: Jan. 19, 2019.
@article{3280-18,
url = {http://sigport.org/3280},
author = {Xin Tian; Afshin Abdi; Entao Liu; Faramarz Fekri },
publisher = {IEEE SigPort},
title = {Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning},
year = {2018} }
TY - EJOUR
T1 - Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning
AU - Xin Tian; Afshin Abdi; Entao Liu; Faramarz Fekri
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3280
ER -
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. (2018). Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. IEEE SigPort. http://sigport.org/3280
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri, 2018. Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning. Available at: http://sigport.org/3280.
Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. (2018). "Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning." Web.
1. Xin Tian, Afshin Abdi, Entao Liu, Faramarz Fekri. Seismic Signal Compression Through Delay Compensated and Entropy Constrained Dictionary Learning [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3280

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