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Optical Fiber Link Test Bench


For reproducibility purposes, a large test bench of fiber links is simulated to test the Baseband Subcarrier Sweep framework and associated monitoring techniques. The test bench comprises three sets of 1000 fiber links each containing one, two, or three faults.

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Dataset Details

Citation Author(s):
Submitted by:
Raphael Saavedra
Last updated:
Sun, 06/10/2018 - 15:40
DOI:
10.21227/H2N66K
Data Format:
 
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[1] , "Optical Fiber Link Test Bench", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2N66K. Accessed: Jun. 22, 2018.
@data{h2n66k-18,
doi = {10.21227/H2N66K},
url = {http://dx.doi.org/10.21227/H2N66K},
author = { },
publisher = {IEEE Dataport},
title = {Optical Fiber Link Test Bench},
year = {2018} }
TY - DATA
T1 - Optical Fiber Link Test Bench
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2N66K
ER -
. (2018). Optical Fiber Link Test Bench. IEEE Dataport. http://dx.doi.org/10.21227/H2N66K
, 2018. Optical Fiber Link Test Bench. Available at: http://dx.doi.org/10.21227/H2N66K.
. (2018). "Optical Fiber Link Test Bench." Web.
1. . Optical Fiber Link Test Bench [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2N66K
. "Optical Fiber Link Test Bench." doi: 10.21227/H2N66K

Channels Switch Sequences of 300 IPTV viewers in a month


This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014. There are 4 columns in the file, which represent viewer ID, the current channel number, the next channel number, the date of the month, respectively. The first column, the ID code of a viewer, ranks in descent with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

 

 

 

 

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Dataset Details

Citation Author(s):
Submitted by:
Can Yang
Last updated:
Tue, 06/05/2018 - 06:52
DOI:
10.21227/H2396N
Data Format:
 
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[1] , "Channels Switch Sequences of 300 IPTV viewers in a month", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2396N. Accessed: Jun. 22, 2018.
@data{h2396n-18,
doi = {10.21227/H2396N},
url = {http://dx.doi.org/10.21227/H2396N},
author = { },
publisher = {IEEE Dataport},
title = {Channels Switch Sequences of 300 IPTV viewers in a month},
year = {2018} }
TY - DATA
T1 - Channels Switch Sequences of 300 IPTV viewers in a month
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2396N
ER -
. (2018). Channels Switch Sequences of 300 IPTV viewers in a month. IEEE Dataport. http://dx.doi.org/10.21227/H2396N
, 2018. Channels Switch Sequences of 300 IPTV viewers in a month. Available at: http://dx.doi.org/10.21227/H2396N.
. (2018). "Channels Switch Sequences of 300 IPTV viewers in a month." Web.
1. . Channels Switch Sequences of 300 IPTV viewers in a month [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2396N
. "Channels Switch Sequences of 300 IPTV viewers in a month." doi: 10.21227/H2396N

Channels Switch Sequences of 300 IPTV viewers in a month


This dataset includes  the Channels Switch Sequences of 300 IPTV viewers in Guangzhou, P.R. China, in Augest, 2014.

There are 4 columns in the file, which represent viewer ID, the current channel number, th next channel number, the date of the month, respectively.

The first column, the ID code of a viewter, ranks with the times the viewer watched tv channels. The more times a viewer watches tv channels, the bigger

the ID is. In a day, the rows are time series and generated step by step as the real watching tv behavior. 

 

 

 

 

Dataset Files

No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
Can Yang
Last updated:
Tue, 06/05/2018 - 06:40
DOI:
10.21227/H27376
Data Format:
 
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[1] , "Channels Switch Sequences of 300 IPTV viewers in a month", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H27376. Accessed: Jun. 22, 2018.
@data{h27376-18,
doi = {10.21227/H27376},
url = {http://dx.doi.org/10.21227/H27376},
author = { },
publisher = {IEEE Dataport},
title = {Channels Switch Sequences of 300 IPTV viewers in a month},
year = {2018} }
TY - DATA
T1 - Channels Switch Sequences of 300 IPTV viewers in a month
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H27376
ER -
. (2018). Channels Switch Sequences of 300 IPTV viewers in a month. IEEE Dataport. http://dx.doi.org/10.21227/H27376
, 2018. Channels Switch Sequences of 300 IPTV viewers in a month. Available at: http://dx.doi.org/10.21227/H27376.
. (2018). "Channels Switch Sequences of 300 IPTV viewers in a month." Web.
1. . Channels Switch Sequences of 300 IPTV viewers in a month [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H27376
. "Channels Switch Sequences of 300 IPTV viewers in a month." doi: 10.21227/H27376

RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference


The system obtained interference information from the measurement signal, solved the problem of phase wrapping, and got the accurate coordinates of target. The tags and tag-free items including shrimp chips, cola and instant noodles were taken as target respectively in experiment.

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Dataset Details

Citation Author(s):
Submitted by:
Meng Liu
Last updated:
Tue, 06/19/2018 - 05:46
DOI:
10.21227/H2V09H
Data Format:
 
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[1] , "RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2V09H. Accessed: Jun. 22, 2018.
@data{h2v09h-18,
doi = {10.21227/H2V09H},
url = {http://dx.doi.org/10.21227/H2V09H},
author = { },
publisher = {IEEE Dataport},
title = {RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference},
year = {2018} }
TY - DATA
T1 - RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2V09H
ER -
. (2018). RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference. IEEE Dataport. http://dx.doi.org/10.21227/H2V09H
, 2018. RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference. Available at: http://dx.doi.org/10.21227/H2V09H.
. (2018). "RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference." Web.
1. . RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2V09H
. "RFID 3D Indoor Localization for Tag and Tag-free Target Based on Interference." doi: 10.21227/H2V09H

Revolution in software engineering


The software industry is a very flexible phenomenon. Adding network concepts to this industry means we have countless actors with different roles on a single ground. Its players include software developers, customers, users, and software components. The purpose of this article is to create a better way to communicate between these actors.We can imagine software engineering different and more effective than the current situation.

Dataset Files

No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
mohsen pirnajmeddin
Last updated:
Sat, 06/02/2018 - 00:24
DOI:
10.21227/H23H3K
 
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Documentation

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[1] , "Revolution in software engineering", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H23H3K. Accessed: Jun. 22, 2018.
@data{h23h3k-18,
doi = {10.21227/H23H3K},
url = {http://dx.doi.org/10.21227/H23H3K},
author = { },
publisher = {IEEE Dataport},
title = {Revolution in software engineering},
year = {2018} }
TY - DATA
T1 - Revolution in software engineering
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H23H3K
ER -
. (2018). Revolution in software engineering. IEEE Dataport. http://dx.doi.org/10.21227/H23H3K
, 2018. Revolution in software engineering. Available at: http://dx.doi.org/10.21227/H23H3K.
. (2018). "Revolution in software engineering." Web.
1. . Revolution in software engineering [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H23H3K
. "Revolution in software engineering." doi: 10.21227/H23H3K

RSSI-Based Indoor Localization with the Internet of Things


RSSI-Dataset

The RSSI-Dataset provides a comprehensive set of Received Signal Strength Indication (RSSI) readings from within two indoor office buildings. Four wireless technologies were used:

  • Zigbee (IEEE 802.15.4),
  • WiFi (IEEE 802. 11),
  • Bluetooth Low Energy (BLE) and
  • Long Range Area-Wide Network (LoRaWAN).

For experimentation Arduinos Raspberry Pi, XBees, Gimbal beacons Series 10 and Dragino LoRa Shield were also used.  

Dataset Files

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Dataset Details

Citation Author(s):
Submitted by:
PETROS SPACHOS
Last updated:
Wed, 05/30/2018 - 20:51
DOI:
10.21227/H25D5X
Data Format:
Links:
 
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[1] , "RSSI-Based Indoor Localization with the Internet of Things", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H25D5X. Accessed: Jun. 22, 2018.
@data{h25d5x-18,
doi = {10.21227/H25D5X},
url = {http://dx.doi.org/10.21227/H25D5X},
author = { },
publisher = {IEEE Dataport},
title = {RSSI-Based Indoor Localization with the Internet of Things},
year = {2018} }
TY - DATA
T1 - RSSI-Based Indoor Localization with the Internet of Things
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H25D5X
ER -
. (2018). RSSI-Based Indoor Localization with the Internet of Things. IEEE Dataport. http://dx.doi.org/10.21227/H25D5X
, 2018. RSSI-Based Indoor Localization with the Internet of Things. Available at: http://dx.doi.org/10.21227/H25D5X.
. (2018). "RSSI-Based Indoor Localization with the Internet of Things." Web.
1. . RSSI-Based Indoor Localization with the Internet of Things [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H25D5X
. "RSSI-Based Indoor Localization with the Internet of Things." doi: 10.21227/H25D5X

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