Sensors

3D point cloud library


# .PCD v0.7 - Point Cloud Data file format
VERSION 0.7
FIELDS x y z rgb
SIZE 4 4 4 4
TYPE F F F F
COUNT 1 1 1 1
WIDTH 2057209
HEIGHT 1
VIEWPOINT 0 0 0 1 0 0 0
POINTS 2057209
DATA ascii

 
 
 
# .PCD v0.7 - Point Cloud Data file format
VERSION 0.7
FIELDS x y z rgb
SIZE 4 4 4 4
TYPE F F F F
COUNT 1 1 1 1
WIDTH 921568
HEIGHT 1
VIEWPOINT 0 0 0 1 0 0 0
POINTS 921568
DATA ascii

Dataset Files

No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
shimaa ali
Last updated:
Wed, 01/17/2018 - 17:57
DOI:
10.21227/H2S66T
Data Format:
Links:
 
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[1] , "3D point cloud library", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2S66T. Accessed: Feb. 19, 2018.
@data{h2s66t-18,
doi = {10.21227/H2S66T},
url = {http://dx.doi.org/10.21227/H2S66T},
author = { },
publisher = {IEEE Dataport},
title = {3D point cloud library},
year = {2018} }
TY - DATA
T1 - 3D point cloud library
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2S66T
ER -
. (2018). 3D point cloud library. IEEE Dataport. http://dx.doi.org/10.21227/H2S66T
, 2018. 3D point cloud library. Available at: http://dx.doi.org/10.21227/H2S66T.
. (2018). "3D point cloud library." Web.
1. . 3D point cloud library [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2S66T
. "3D point cloud library." doi: 10.21227/H2S66T

DARPA KASSPER Radar Data Set


High-fidelity, physics-based multichannel radar data cube provided by the DARPA KASSPER project. This data is ideal for analyzing space-time adaptive processing (STAP) algorithms since both sample data and truth data are provided.

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Dataset Details

Citation Author(s):
Submitted by:
Joseph Guerci
Last updated:
Fri, 12/22/2017 - 14:39
DOI:
10.21227/H27Q0R
Data Format:
 
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[1] , "DARPA KASSPER Radar Data Set", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H27Q0R. Accessed: Feb. 19, 2018.
@data{h27q0r-17,
doi = {10.21227/H27Q0R},
url = {http://dx.doi.org/10.21227/H27Q0R},
author = { },
publisher = {IEEE Dataport},
title = {DARPA KASSPER Radar Data Set},
year = {2017} }
TY - DATA
T1 - DARPA KASSPER Radar Data Set
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H27Q0R
ER -
. (2017). DARPA KASSPER Radar Data Set. IEEE Dataport. http://dx.doi.org/10.21227/H27Q0R
, 2017. DARPA KASSPER Radar Data Set. Available at: http://dx.doi.org/10.21227/H27Q0R.
. (2017). "DARPA KASSPER Radar Data Set." Web.
1. . DARPA KASSPER Radar Data Set [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H27Q0R
. "DARPA KASSPER Radar Data Set." doi: 10.21227/H27Q0R

Activities of Daily Living


Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Dataset Details

Citation Author(s):
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] , "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Feb. 19, 2018.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = { },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
ER -
. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
. (2017). "Activities of Daily Living." Web.
1. . Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
. "Activities of Daily Living." doi: 10.21227/H2PS74

An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space


This study deals with derivation of an exact expressions for the current distribution and the input impedance of a circular loop antenna over a lossy half-space. the analysis is based on the image method, the direct integration of the vector potential, and the spherical function expansion. the results for the current distribution of this study are in very good agreement with those corresponding results available in the literature, which checks the correctness of formulations of the study.   

 

 

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No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
Sameir Ali Hamed
Last updated:
Sat, 11/11/2017 - 07:03
DOI:
10.21227/H27S73
 
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[1] , "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H27S73. Accessed: Feb. 19, 2018.
@data{h27s73-17,
doi = {10.21227/H27S73},
url = {http://dx.doi.org/10.21227/H27S73},
author = { },
publisher = {IEEE Dataport},
title = {An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space},
year = {2017} }
TY - DATA
T1 - An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H27S73
ER -
. (2017). An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space. IEEE Dataport. http://dx.doi.org/10.21227/H27S73
, 2017. An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space. Available at: http://dx.doi.org/10.21227/H27S73.
. (2017). "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space." Web.
1. . An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H27S73
. "An Exact Expression for the Input Admittance of a Circular Loop Antenna over a Lossy Half-Space." doi: 10.21227/H27S73

Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms


Advances in Wireless Sensor Network Technology (WSN) have provided the availability of small and low-cost sensor with capability of sensing various types of physical and environmental conditions, data processing and wireless communication. In WSN, the sensor nodes have a limited transmission range, and their processing and storage capabilities as well as their energy resources are limited. Triple Umpiring System (TUS) has already been proved its better performance on Wireless Sensor Networks. Clustering technique provides an effective way to prolong the lifetime of WSN.

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No Data files have been uploaded.

Dataset Details

Citation Author(s):
Submitted by:
GANESH SUBRAMANIAN
Last updated:
Tue, 10/24/2017 - 01:17
DOI:
10.21227/H2VP81
Data Format:
Links:
 
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[1] , "Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2VP81. Accessed: Feb. 19, 2018.
@data{h2vp81-17,
doi = {10.21227/H2VP81},
url = {http://dx.doi.org/10.21227/H2VP81},
author = { },
publisher = {IEEE Dataport},
title = {Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms},
year = {2017} }
TY - DATA
T1 - Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms
AU -
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2VP81
ER -
. (2017). Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms. IEEE Dataport. http://dx.doi.org/10.21227/H2VP81
, 2017. Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms. Available at: http://dx.doi.org/10.21227/H2VP81.
. (2017). "Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms." Web.
1. . Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2VP81
. "Efficient and Secure Routing Protocol for Wireless Sensor Networks through SNR based Dynamic Clustering Mechanisms." doi: 10.21227/H2VP81