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ICASSP 2019

ICASSP is the world’s largest and most comprehensive technical conference focused on signal processing and its applications. The 2019 conference will feature world-class presentations by internationally renowned speakers, cutting-edge session topics and provide a fantastic opportunity to network with like-minded professionals from around the world. Visit website

Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection


In this paper, we address the problem of bird audio detec-
tion and propose a new convolutional neural network archi-
tecture together with a divergence based information channel
weighing strategy in order to achieve improved state-of-the-
art performance and faster convergence. The effectiveness of
the methodology is shown on the Bird Audio Detection Chal-
lenge 2018 (Detection and Classification of Acoustic Scenes
and Events Challenge, Task 3) development data set.

Paper Details

Authors:
Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos
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12 May 2019 - 9:54am
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https://ieeexplore.ieee.org/document/8682483

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[1] Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos, "Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4464. Accessed: Jul. 19, 2019.
@article{4464-19,
url = {http://sigport.org/4464},
author = {Cemre Zor; Muhammad Awais; Josef Kittler; Miroslaw Bober; Sameed Husain; Qiuqiang Kong; Christian Kroos },
publisher = {IEEE SigPort},
title = {Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection},
year = {2019} }
TY - EJOUR
T1 - Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection
AU - Cemre Zor; Muhammad Awais; Josef Kittler; Miroslaw Bober; Sameed Husain; Qiuqiang Kong; Christian Kroos
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4464
ER -
Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos. (2019). Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection. IEEE SigPort. http://sigport.org/4464
Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos, 2019. Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection. Available at: http://sigport.org/4464.
Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos. (2019). "Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection." Web.
1. Cemre Zor, Muhammad Awais, Josef Kittler, Miroslaw Bober, Sameed Husain, Qiuqiang Kong, Christian Kroos. Divergence Based Weighting for Information Channels in Deep Convolutional Neural Networks for Bird Audio Detection [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4464

Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks


We introduce a method to improve the quality of simple scalar quantization in the context of acoustic sensor networks by combining ideas from sparse reconstruction, artificial neural networks and weighting filters. We start from the observation that optimization methods based on sparse reconstruction resemble the structure of a neural network. Hence, building upon a successful enhancement method, we unroll the algorithms and use this to build a neural network which we train to obtain enhanced decoding.

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Authors:
Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt
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12 May 2019 - 6:42pm
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[1] Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt, "Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4462. Accessed: Jul. 19, 2019.
@article{4462-19,
url = {http://sigport.org/4462},
author = {Ziyue Zhao; Dirk Lorenz; Tim Fingscheidt },
publisher = {IEEE SigPort},
title = {Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks},
year = {2019} }
TY - EJOUR
T1 - Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks
AU - Ziyue Zhao; Dirk Lorenz; Tim Fingscheidt
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4462
ER -
Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt. (2019). Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks. IEEE SigPort. http://sigport.org/4462
Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt, 2019. Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks. Available at: http://sigport.org/4462.
Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt. (2019). "Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks." Web.
1. Ziyue Zhao, Dirk Lorenz, Tim Fingscheidt. Learning to Dequantize Speech Signals by Primal-Dual Networks: An Approach for Acoustic Sensor Networks [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4462

MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING

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Authors:
Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos
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12 May 2019 - 5:16am
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[1] Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos, "MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4461. Accessed: Jul. 19, 2019.
@article{4461-19,
url = {http://sigport.org/4461},
author = {Pablo Ruiz; Oliver Cossairt; Aggelos Katsaggelos },
publisher = {IEEE SigPort},
title = {MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING},
year = {2019} }
TY - EJOUR
T1 - MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING
AU - Pablo Ruiz; Oliver Cossairt; Aggelos Katsaggelos
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4461
ER -
Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos. (2019). MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING. IEEE SigPort. http://sigport.org/4461
Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos, 2019. MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING. Available at: http://sigport.org/4461.
Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos. (2019). "MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING." Web.
1. Pablo Ruiz, Oliver Cossairt, Aggelos Katsaggelos. MULTI-FRAME SUPER-RESOLUTION FOR TIME-OF-FLIGHT IMAGING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4461

A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM

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12 May 2019 - 4:31am
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ICASSP2019_poster_deepMTT.pdf

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[1] , "A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4459. Accessed: Jul. 19, 2019.
@article{4459-19,
url = {http://sigport.org/4459},
author = { },
publisher = {IEEE SigPort},
title = {A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM},
year = {2019} }
TY - EJOUR
T1 - A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4459
ER -
. (2019). A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM. IEEE SigPort. http://sigport.org/4459
, 2019. A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM. Available at: http://sigport.org/4459.
. (2019). "A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM." Web.
1. . A DEEP NEURAL NETWORK BASED MANEUVERING-TARGET TRACKING ALGORITHM [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4459

Universal Acoustic Using Neural Mixture Models

Paper Details

Authors:
Amit Das, Jinyu Li, Yifan Gong, Changliang Lu
Submitted On:
12 May 2019 - 2:42am
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UAM_v3.pdf

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[1] Amit Das, Jinyu Li, Yifan Gong, Changliang Lu, "Universal Acoustic Using Neural Mixture Models", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4458. Accessed: Jul. 19, 2019.
@article{4458-19,
url = {http://sigport.org/4458},
author = {Amit Das; Jinyu Li; Yifan Gong; Changliang Lu },
publisher = {IEEE SigPort},
title = {Universal Acoustic Using Neural Mixture Models},
year = {2019} }
TY - EJOUR
T1 - Universal Acoustic Using Neural Mixture Models
AU - Amit Das; Jinyu Li; Yifan Gong; Changliang Lu
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4458
ER -
Amit Das, Jinyu Li, Yifan Gong, Changliang Lu. (2019). Universal Acoustic Using Neural Mixture Models. IEEE SigPort. http://sigport.org/4458
Amit Das, Jinyu Li, Yifan Gong, Changliang Lu, 2019. Universal Acoustic Using Neural Mixture Models. Available at: http://sigport.org/4458.
Amit Das, Jinyu Li, Yifan Gong, Changliang Lu. (2019). "Universal Acoustic Using Neural Mixture Models." Web.
1. Amit Das, Jinyu Li, Yifan Gong, Changliang Lu. Universal Acoustic Using Neural Mixture Models [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4458

BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE


Existing blind evaluators for screen content images (SCIs) are mainly learning-based and require a number of training images with co-registered human opinion scores. However, the size of existing databases is small, and it is labor-, timeconsuming and expensive to largely generate human opinion scores. In this study, we propose a novel blind quality evaluator without training.

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Authors:
Guanghui Yue, Chunping Hou, and Weisi Lin
Submitted On:
11 May 2019 - 9:48pm
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icassp 2019 poster 2875.pdf

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[1] Guanghui Yue, Chunping Hou, and Weisi Lin, "BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4457. Accessed: Jul. 19, 2019.
@article{4457-19,
url = {http://sigport.org/4457},
author = {Guanghui Yue; Chunping Hou; and Weisi Lin },
publisher = {IEEE SigPort},
title = {BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE},
year = {2019} }
TY - EJOUR
T1 - BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE
AU - Guanghui Yue; Chunping Hou; and Weisi Lin
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4457
ER -
Guanghui Yue, Chunping Hou, and Weisi Lin. (2019). BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE. IEEE SigPort. http://sigport.org/4457
Guanghui Yue, Chunping Hou, and Weisi Lin, 2019. BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE. Available at: http://sigport.org/4457.
Guanghui Yue, Chunping Hou, and Weisi Lin. (2019). "BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE." Web.
1. Guanghui Yue, Chunping Hou, and Weisi Lin. BLIND QUALITY EVALUATOR FOR SCREEN CONTENT IMAGES VIA ANALYSIS OF STRUCTURE [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4457

Geometric Invariants for Sparse Unknown View Tomography


In this paper, we study a 2D tomography problem for point source models with random unknown view angles. Rather than recovering the projection angles, we reconstruct the model through a set of rotation-invariant features that are estimated from the projection data. For a point source model, we show that these features reveal geometric information about the model such as the radial and pairwise distances. This establishes a connection between unknown view tomography and unassigned distance geometry problem (uDGP).

Paper Details

Authors:
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao
Submitted On:
11 May 2019 - 7:56pm
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[1] Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao, "Geometric Invariants for Sparse Unknown View Tomography", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4456. Accessed: Jul. 19, 2019.
@article{4456-19,
url = {http://sigport.org/4456},
author = {Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao },
publisher = {IEEE SigPort},
title = {Geometric Invariants for Sparse Unknown View Tomography},
year = {2019} }
TY - EJOUR
T1 - Geometric Invariants for Sparse Unknown View Tomography
AU - Mona Zehni; Shuai Huang; Ivan Dokmanic; Zhizhen Zhao
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4456
ER -
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. (2019). Geometric Invariants for Sparse Unknown View Tomography. IEEE SigPort. http://sigport.org/4456
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao, 2019. Geometric Invariants for Sparse Unknown View Tomography. Available at: http://sigport.org/4456.
Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. (2019). "Geometric Invariants for Sparse Unknown View Tomography." Web.
1. Mona Zehni, Shuai Huang, Ivan Dokmanic, Zhizhen Zhao. Geometric Invariants for Sparse Unknown View Tomography [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4456

SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD

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Authors:
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy
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11 May 2019 - 5:42pm
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[1] Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy, "SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4455. Accessed: Jul. 19, 2019.
@article{4455-19,
url = {http://sigport.org/4455},
author = {Cyrille Chavet; Fabrice Lozachmeur; Thomas Barguil; Awais Sani Hussein; Philippe Coussy },
publisher = {IEEE SigPort},
title = {SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD},
year = {2019} }
TY - EJOUR
T1 - SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD
AU - Cyrille Chavet; Fabrice Lozachmeur; Thomas Barguil; Awais Sani Hussein; Philippe Coussy
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4455
ER -
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. (2019). SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD. IEEE SigPort. http://sigport.org/4455
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy, 2019. SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD. Available at: http://sigport.org/4455.
Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. (2019). "SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD." Web.
1. Cyrille Chavet, Fabrice Lozachmeur, Thomas Barguil, Awais Sani Hussein, Philippe Coussy. SOLVING MEMORY ACCESS CONFLICTS IN LTE-4G STANDARD [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4455

On reducing the effect of speaker overlap for CHiME-5


The CHiME-5 speech separation and recognition challenge was recently shown to pose a difficult task for the current automatic speech recognition systems.
Speaker overlap was one of the main difficulties of the challenge. The presence of noise, reverberation and the moving speakers have made the traditional source separation methods ineffective in improving the recognition accuracy.
In this paper we have explored several enhancement strategies aimed to reduce the effect of speaker overlap for CHiME-5 without performing source separation.

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Authors:
Catalin Zorila, Rama Doddipatla
Submitted On:
11 May 2019 - 8:58pm
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[1] Catalin Zorila, Rama Doddipatla, "On reducing the effect of speaker overlap for CHiME-5", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4454. Accessed: Jul. 19, 2019.
@article{4454-19,
url = {http://sigport.org/4454},
author = {Catalin Zorila; Rama Doddipatla },
publisher = {IEEE SigPort},
title = {On reducing the effect of speaker overlap for CHiME-5},
year = {2019} }
TY - EJOUR
T1 - On reducing the effect of speaker overlap for CHiME-5
AU - Catalin Zorila; Rama Doddipatla
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4454
ER -
Catalin Zorila, Rama Doddipatla. (2019). On reducing the effect of speaker overlap for CHiME-5. IEEE SigPort. http://sigport.org/4454
Catalin Zorila, Rama Doddipatla, 2019. On reducing the effect of speaker overlap for CHiME-5. Available at: http://sigport.org/4454.
Catalin Zorila, Rama Doddipatla. (2019). "On reducing the effect of speaker overlap for CHiME-5." Web.
1. Catalin Zorila, Rama Doddipatla. On reducing the effect of speaker overlap for CHiME-5 [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4454

Detectability of Denial-of-Service Attacks on Communication Systems


Wireless communication systems are inherently vulnerable to adversarial attacks since malevolent jammers might jam and disrupt the legitimate transmission intentionally. Accordingly it is of crucial interest for the legitimate users to detect such adversarial attacks. This paper develops a detection framework based on Turing machines and studies the detectability of adversarial attacks. Of particular interest are so-called denial-of-service attacks in which the jammer is able to completely prevent any transmission.

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Authors:
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor
Submitted On:
16 May 2019 - 4:44am
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[1] Holger Boche, Rafael F. Schaefer, and H. Vincent Poor, "Detectability of Denial-of-Service Attacks on Communication Systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4453. Accessed: Jul. 19, 2019.
@article{4453-19,
url = {http://sigport.org/4453},
author = {Holger Boche; Rafael F. Schaefer; and H. Vincent Poor },
publisher = {IEEE SigPort},
title = {Detectability of Denial-of-Service Attacks on Communication Systems},
year = {2019} }
TY - EJOUR
T1 - Detectability of Denial-of-Service Attacks on Communication Systems
AU - Holger Boche; Rafael F. Schaefer; and H. Vincent Poor
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4453
ER -
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. (2019). Detectability of Denial-of-Service Attacks on Communication Systems. IEEE SigPort. http://sigport.org/4453
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor, 2019. Detectability of Denial-of-Service Attacks on Communication Systems. Available at: http://sigport.org/4453.
Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. (2019). "Detectability of Denial-of-Service Attacks on Communication Systems." Web.
1. Holger Boche, Rafael F. Schaefer, and H. Vincent Poor. Detectability of Denial-of-Service Attacks on Communication Systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4453

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