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GlobalSIP 2016

A flagship conference of the IEEE Signal Processing Society, GlobalSIP is structured around coherent symposia that explore new and emerging developments in the field, while maintaining a format that encourages accessibility to interested researchers and fosters interaction and cross-pollination of ideas.

Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure


This poster presents a real-time decentralized temperature control scheme via Heating Ventilation and Air Conditioning (HVAC) systems for energy efficient buildings, which balances user comfort and energy saving. Firstly, we introduce a thermal dynamic model of building systems and its approximation. Then a steady-state optimization problem is formulated, which aims to minimize the aggregate deviation between zone temperatures and their set points, as well as the building energy consumption.

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Authors:
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li
Submitted On:
21 January 2017 - 11:11am
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PosterGlobalSIP16rere.pdf

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[1] Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li, "Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure", IEEE SigPort, 2017. [Online]. Available: http://sigport.org/1442. Accessed: Dec. 17, 2017.
@article{1442-17,
url = {http://sigport.org/1442},
author = {Wenbo Shi; Xiwang Li; Bin Yan; Ali Malkawi; Na Li },
publisher = {IEEE SigPort},
title = {Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure},
year = {2017} }
TY - EJOUR
T1 - Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure
AU - Wenbo Shi; Xiwang Li; Bin Yan; Ali Malkawi; Na Li
PY - 2017
PB - IEEE SigPort
UR - http://sigport.org/1442
ER -
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. (2017). Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure. IEEE SigPort. http://sigport.org/1442
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li, 2017. Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure. Available at: http://sigport.org/1442.
Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. (2017). "Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure." Web.
1. Wenbo Shi, Xiwang Li, Bin Yan, Ali Malkawi, Na Li. Decentralized Temperature Control via HVAC Systems in Energy Efficient Buildings: An Approximate Solution Procedure [Internet]. IEEE SigPort; 2017. Available from : http://sigport.org/1442

Oversampling-based algorithm for efficient RF interference excision in SIMO systems

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17 December 2016 - 1:40am
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GlobalSIP'16_poster_final.pdf

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[1] , "Oversampling-based algorithm for efficient RF interference excision in SIMO systems ", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1441. Accessed: Dec. 17, 2017.
@article{1441-16,
url = {http://sigport.org/1441},
author = { },
publisher = {IEEE SigPort},
title = {Oversampling-based algorithm for efficient RF interference excision in SIMO systems },
year = {2016} }
TY - EJOUR
T1 - Oversampling-based algorithm for efficient RF interference excision in SIMO systems
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1441
ER -
. (2016). Oversampling-based algorithm for efficient RF interference excision in SIMO systems . IEEE SigPort. http://sigport.org/1441
, 2016. Oversampling-based algorithm for efficient RF interference excision in SIMO systems . Available at: http://sigport.org/1441.
. (2016). "Oversampling-based algorithm for efficient RF interference excision in SIMO systems ." Web.
1. . Oversampling-based algorithm for efficient RF interference excision in SIMO systems [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1441

Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow

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15 December 2016 - 10:02pm
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globalsip.pdf

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[1] , "Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1439. Accessed: Dec. 17, 2017.
@article{1439-16,
url = {http://sigport.org/1439},
author = { },
publisher = {IEEE SigPort},
title = {Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow},
year = {2016} }
TY - EJOUR
T1 - Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1439
ER -
. (2016). Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow. IEEE SigPort. http://sigport.org/1439
, 2016. Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow. Available at: http://sigport.org/1439.
. (2016). "Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow." Web.
1. . Convergence of the Z-Bus method and existence of unique solution in single-phase distribution load-flow [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1439

Fast and Stable Signal Deconvolution via Compressible State-Space Models


Objective: Common biological measurements are in
the form of noisy convolutions of signals of interest with possibly
unknown and transient blurring kernels. Examples include EEG
and calcium imaging data. Thus, signal deconvolution of these
measurements is crucial in understanding the underlying biological
processes. The objective of this paper is to develop fast and
stable solutions for signal deconvolution from noisy, blurred and
undersampled data, where the signals are in the form of discrete

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Authors:
Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi
Submitted On:
12 December 2016 - 9:35am
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FCSS_slides.pdf

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[1] Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi, "Fast and Stable Signal Deconvolution via Compressible State-Space Models", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1438. Accessed: Dec. 17, 2017.
@article{1438-16,
url = {http://sigport.org/1438},
author = {Abbas Kazemipour; Ji Liu; Min Wu ; Patrick Kanold and Behtash Babadi },
publisher = {IEEE SigPort},
title = {Fast and Stable Signal Deconvolution via Compressible State-Space Models},
year = {2016} }
TY - EJOUR
T1 - Fast and Stable Signal Deconvolution via Compressible State-Space Models
AU - Abbas Kazemipour; Ji Liu; Min Wu ; Patrick Kanold and Behtash Babadi
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1438
ER -
Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi. (2016). Fast and Stable Signal Deconvolution via Compressible State-Space Models. IEEE SigPort. http://sigport.org/1438
Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi, 2016. Fast and Stable Signal Deconvolution via Compressible State-Space Models. Available at: http://sigport.org/1438.
Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi. (2016). "Fast and Stable Signal Deconvolution via Compressible State-Space Models." Web.
1. Abbas Kazemipour, Ji Liu, Min Wu , Patrick Kanold and Behtash Babadi. Fast and Stable Signal Deconvolution via Compressible State-Space Models [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1438

Linear Systems on Graphs

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Authors:
Oguzhan Teke, Palghat P. Vaidyanathan
Submitted On:
11 December 2016 - 12:04am
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linearSystems_globalsip_presentation.pdf

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[1] Oguzhan Teke, Palghat P. Vaidyanathan, "Linear Systems on Graphs", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1437. Accessed: Dec. 17, 2017.
@article{1437-16,
url = {http://sigport.org/1437},
author = {Oguzhan Teke; Palghat P. Vaidyanathan },
publisher = {IEEE SigPort},
title = {Linear Systems on Graphs},
year = {2016} }
TY - EJOUR
T1 - Linear Systems on Graphs
AU - Oguzhan Teke; Palghat P. Vaidyanathan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1437
ER -
Oguzhan Teke, Palghat P. Vaidyanathan. (2016). Linear Systems on Graphs. IEEE SigPort. http://sigport.org/1437
Oguzhan Teke, Palghat P. Vaidyanathan, 2016. Linear Systems on Graphs. Available at: http://sigport.org/1437.
Oguzhan Teke, Palghat P. Vaidyanathan. (2016). "Linear Systems on Graphs." Web.
1. Oguzhan Teke, Palghat P. Vaidyanathan. Linear Systems on Graphs [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1437

Fast Computations for Approximation and Compression in Slepian Spaces


The discrete prolate spheroidal sequences (DPSS's) provide an efficient representation for signals that are perfectly timelimited and nearly bandlimited. Unfortunately, because of the high computational complexity of projecting onto the DPSS basis -- also known as the Slepian basis -- this representation is often overlooked in favor of the fast Fourier transform (FFT). In this presentation, we show that there exist fast constructions for computing approximate projections onto the leading Slepian basis elements.

Paper Details

Authors:
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport
Submitted On:
10 December 2016 - 2:11am
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GlobalSIP2016SSPC13.pdf

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[1] Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport, "Fast Computations for Approximation and Compression in Slepian Spaces", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1436. Accessed: Dec. 17, 2017.
@article{1436-16,
url = {http://sigport.org/1436},
author = {Santhosh Karnik; Zhihui Zhu; Michael B. Wakin; Justin Romberg; Mark A. Davenport },
publisher = {IEEE SigPort},
title = {Fast Computations for Approximation and Compression in Slepian Spaces},
year = {2016} }
TY - EJOUR
T1 - Fast Computations for Approximation and Compression in Slepian Spaces
AU - Santhosh Karnik; Zhihui Zhu; Michael B. Wakin; Justin Romberg; Mark A. Davenport
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1436
ER -
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport. (2016). Fast Computations for Approximation and Compression in Slepian Spaces. IEEE SigPort. http://sigport.org/1436
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport, 2016. Fast Computations for Approximation and Compression in Slepian Spaces. Available at: http://sigport.org/1436.
Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport. (2016). "Fast Computations for Approximation and Compression in Slepian Spaces." Web.
1. Santhosh Karnik, Zhihui Zhu, Michael B. Wakin, Justin Romberg, Mark A. Davenport. Fast Computations for Approximation and Compression in Slepian Spaces [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1436

A Low-Rank Approach for Interference Management in Dense Wireless Networks

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Submitted On:
9 December 2016 - 10:21pm
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kaiyang-poster.pdf

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[1] , "A Low-Rank Approach for Interference Management in Dense Wireless Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1434. Accessed: Dec. 17, 2017.
@article{1434-16,
url = {http://sigport.org/1434},
author = { },
publisher = {IEEE SigPort},
title = {A Low-Rank Approach for Interference Management in Dense Wireless Networks},
year = {2016} }
TY - EJOUR
T1 - A Low-Rank Approach for Interference Management in Dense Wireless Networks
AU -
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1434
ER -
. (2016). A Low-Rank Approach for Interference Management in Dense Wireless Networks. IEEE SigPort. http://sigport.org/1434
, 2016. A Low-Rank Approach for Interference Management in Dense Wireless Networks. Available at: http://sigport.org/1434.
. (2016). "A Low-Rank Approach for Interference Management in Dense Wireless Networks." Web.
1. . A Low-Rank Approach for Interference Management in Dense Wireless Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1434

Real-Time Operation of Heterogeneous Energy Storage Units


Energy storage systems are becoming a key component in smart grids with increasing renewable penetration. Storage technologies feature diverse capacity, charging, and response specifications. Investment and degradation costs may require charging batteries at multiple timescales, potentially matching the control periods at which grids are dispatched. To this end, a microgrid equipped with slow- and fast-responding batteries is considered here. Energy management decisions are taken at two stages.

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Authors:
Sarthak Gupta, Vassilis Kekatos
Submitted On:
9 December 2016 - 2:13pm
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presentation.pdf

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[1] Sarthak Gupta, Vassilis Kekatos, "Real-Time Operation of Heterogeneous Energy Storage Units", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1433. Accessed: Dec. 17, 2017.
@article{1433-16,
url = {http://sigport.org/1433},
author = {Sarthak Gupta; Vassilis Kekatos },
publisher = {IEEE SigPort},
title = {Real-Time Operation of Heterogeneous Energy Storage Units},
year = {2016} }
TY - EJOUR
T1 - Real-Time Operation of Heterogeneous Energy Storage Units
AU - Sarthak Gupta; Vassilis Kekatos
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1433
ER -
Sarthak Gupta, Vassilis Kekatos. (2016). Real-Time Operation of Heterogeneous Energy Storage Units. IEEE SigPort. http://sigport.org/1433
Sarthak Gupta, Vassilis Kekatos, 2016. Real-Time Operation of Heterogeneous Energy Storage Units. Available at: http://sigport.org/1433.
Sarthak Gupta, Vassilis Kekatos. (2016). "Real-Time Operation of Heterogeneous Energy Storage Units." Web.
1. Sarthak Gupta, Vassilis Kekatos. Real-Time Operation of Heterogeneous Energy Storage Units [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1433

A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand

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Authors:
Fatih Erden, Nuh Erdogan
Submitted On:
9 December 2016 - 12:06pm
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Kisacikoglu_presentation.pdf

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[1] Fatih Erden, Nuh Erdogan, "A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1432. Accessed: Dec. 17, 2017.
@article{1432-16,
url = {http://sigport.org/1432},
author = {Fatih Erden; Nuh Erdogan },
publisher = {IEEE SigPort},
title = {A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand},
year = {2016} }
TY - EJOUR
T1 - A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand
AU - Fatih Erden; Nuh Erdogan
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1432
ER -
Fatih Erden, Nuh Erdogan. (2016). A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand. IEEE SigPort. http://sigport.org/1432
Fatih Erden, Nuh Erdogan, 2016. A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand. Available at: http://sigport.org/1432.
Fatih Erden, Nuh Erdogan. (2016). "A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand." Web.
1. Fatih Erden, Nuh Erdogan. A Distributed Smart PEV Charging Algorithm Based on Forecasted Mobility Energy Demand [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1432

POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL


Tiny target detections, especially power line detection, have received great attention due to its critical role in ensuring the
flight safety of low-flying unmanned aerial vehicles (UAVs). In this paper, an accurate and robust power line detection method is proposed, wherein background noise is mitigated by an embedded convolution neural network (CNN) classifier before conducting the final power line extractions. Our

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Authors:
Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu
Submitted On:
9 December 2016 - 11:12am
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POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL.pptx

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[1] Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu, "POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1431. Accessed: Dec. 17, 2017.
@article{1431-16,
url = {http://sigport.org/1431},
author = {Chaofeng Pan; Xianbin Cao; Dapeng Oliver Wu },
publisher = {IEEE SigPort},
title = {POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL},
year = {2016} }
TY - EJOUR
T1 - POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL
AU - Chaofeng Pan; Xianbin Cao; Dapeng Oliver Wu
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1431
ER -
Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu. (2016). POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL. IEEE SigPort. http://sigport.org/1431
Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu, 2016. POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL. Available at: http://sigport.org/1431.
Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu. (2016). "POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL." Web.
1. Chaofeng Pan, Xianbin Cao, Dapeng Oliver Wu. POWER LINE DETECTION VIA BACKGROUND NOISE REMOVAL [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1431

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