Other

facebooktwitterRSSmailshare

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.

License: Creative Commons Attribution

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
 
Share / Embed Cite

Categories & Keywords

Documentation

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Revolution in software engineering", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H23H3K. Accessed: Jul. 21, 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.  

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
PETROS SPACHOS
Last updated:
Wed, 05/30/2018 - 20:51
DOI:
10.21227/H25D5X
Data Format:
Links:
 
Share / Embed Cite

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "RSSI-Based Indoor Localization with the Internet of Things", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H25D5X. Accessed: Jul. 21, 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

On Automatically Assessing Code Understandability


Understanding software is an inherent requirement for many maintenance and evolution tasks. Without a thorough understanding of the code, developers would not be able to fix bugs or add new features timely.  Measuring code understandability might be useful to guide developers in writing better code, and could also help in estimating the effort required to modify code components. Unfortunately, there are no metrics designed to assess the understandability of code snippets. 

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Simone Scalabrino
Last updated:
Thu, 05/17/2018 - 07:25
DOI:
10.21227/H24M3X
Data Format:
Links:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "On Automatically Assessing Code Understandability", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H24M3X. Accessed: Jul. 21, 2018.
@data{h24m3x-18,
doi = {10.21227/H24M3X},
url = {http://dx.doi.org/10.21227/H24M3X},
author = { },
publisher = {IEEE Dataport},
title = {On Automatically Assessing Code Understandability},
year = {2018} }
TY - DATA
T1 - On Automatically Assessing Code Understandability
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H24M3X
ER -
. (2018). On Automatically Assessing Code Understandability. IEEE Dataport. http://dx.doi.org/10.21227/H24M3X
, 2018. On Automatically Assessing Code Understandability. Available at: http://dx.doi.org/10.21227/H24M3X.
. (2018). "On Automatically Assessing Code Understandability." Web.
1. . On Automatically Assessing Code Understandability [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H24M3X
. "On Automatically Assessing Code Understandability." doi: 10.21227/H24M3X

Jaw Motion and Jaw Kinematics Model


We recorded and extracted 833 jaw poses of a real person from 3-calibrated cameras. Each jaw pose corresponds to a rigid motion (rotation and translation) and is mapped to the Lie algebra of rigid motion, i.e., se(3). In the file "JawPose.txt", each row stores a jaw pose, corresponding to a 6-dimension vector in se(3), the first three is the rotation component, while the last three is the translation component.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Wenwu Yang
Last updated:
Fri, 05/11/2018 - 19:17
DOI:
10.21227/H2JT1Z
Data Format:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Jaw Motion and Jaw Kinematics Model", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2JT1Z. Accessed: Jul. 21, 2018.
@data{h2jt1z-18,
doi = {10.21227/H2JT1Z},
url = {http://dx.doi.org/10.21227/H2JT1Z},
author = { },
publisher = {IEEE Dataport},
title = {Jaw Motion and Jaw Kinematics Model},
year = {2018} }
TY - DATA
T1 - Jaw Motion and Jaw Kinematics Model
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2JT1Z
ER -
. (2018). Jaw Motion and Jaw Kinematics Model. IEEE Dataport. http://dx.doi.org/10.21227/H2JT1Z
, 2018. Jaw Motion and Jaw Kinematics Model. Available at: http://dx.doi.org/10.21227/H2JT1Z.
. (2018). "Jaw Motion and Jaw Kinematics Model." Web.
1. . Jaw Motion and Jaw Kinematics Model [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2JT1Z
. "Jaw Motion and Jaw Kinematics Model." doi: 10.21227/H2JT1Z

Tourists Reviews Dataset


This dataset contains user online reviews of two tourist places namely London' Parks and Art Museums.

London Parks Reviews

In this dataset, the top five most visited parks are selected, such as St. James' Park, Hyde Park, Regent's Park, Kensington Park and Greenwich Park. For each park, 600 reviews from Jan to Sep 2017 are present in CSV format.

London Art Museums

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Muhammad Usman
Last updated:
Mon, 05/07/2018 - 12:07
DOI:
10.21227/H29H4T
Data Format:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Tourists Reviews Dataset", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H29H4T. Accessed: Jul. 21, 2018.
@data{h29h4t-18,
doi = {10.21227/H29H4T},
url = {http://dx.doi.org/10.21227/H29H4T},
author = { },
publisher = {IEEE Dataport},
title = {Tourists Reviews Dataset},
year = {2018} }
TY - DATA
T1 - Tourists Reviews Dataset
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H29H4T
ER -
. (2018). Tourists Reviews Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H29H4T
, 2018. Tourists Reviews Dataset. Available at: http://dx.doi.org/10.21227/H29H4T.
. (2018). "Tourists Reviews Dataset." Web.
1. . Tourists Reviews Dataset [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H29H4T
. "Tourists Reviews Dataset." doi: 10.21227/H29H4T

Machine Learning: A Science Mapping Analysis


Machine learning is becoming increasingly important for companies and the scientific community. It allows us to generate solutions for several problems faced by society. In this study, we perform a science mapping analysis on the machine learning research, in order to provide an overview of the scientific work during the last decade in this area and to show trends that could be the basis for future developments in the field of computer science. This study was carried out using the CiteSpace and SciMAT tools based on results from Scopus and Clarivate Web of Science.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Juan Rincon-Patino
Last updated:
Sat, 04/21/2018 - 22:28
DOI:
10.21227/H2337Z
Data Format:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Machine Learning: A Science Mapping Analysis", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2337Z. Accessed: Jul. 21, 2018.
@data{h2337z-18,
doi = {10.21227/H2337Z},
url = {http://dx.doi.org/10.21227/H2337Z},
author = { },
publisher = {IEEE Dataport},
title = {Machine Learning: A Science Mapping Analysis},
year = {2018} }
TY - DATA
T1 - Machine Learning: A Science Mapping Analysis
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2337Z
ER -
. (2018). Machine Learning: A Science Mapping Analysis. IEEE Dataport. http://dx.doi.org/10.21227/H2337Z
, 2018. Machine Learning: A Science Mapping Analysis. Available at: http://dx.doi.org/10.21227/H2337Z.
. (2018). "Machine Learning: A Science Mapping Analysis." Web.
1. . Machine Learning: A Science Mapping Analysis [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2337Z
. "Machine Learning: A Science Mapping Analysis." doi: 10.21227/H2337Z

Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications


This paper presents an overview of Unidirectional

Loop Metamaterial (ULM) structures and applications. Mimicking

electron spin precession in ferrites using loops with unidirectional

loads (typically transistors), the ULM exhibits all the

fundamental properties of ferrite materials, and represents the

only existing magnetless ferrimagnetic medium. We present here

an extended explanation of ULM physics and unified description

 

of its component and system applications.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Toshiro Kodera
Last updated:
Sat, 03/31/2018 - 12:20
DOI:
10.21227/H22D4M
Data Format:
 
Share / Embed Cite

Categories & Keywords

Documentation

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H22D4M. Accessed: Jul. 21, 2018.
@data{h22d4m-18,
doi = {10.21227/H22D4M},
url = {http://dx.doi.org/10.21227/H22D4M},
author = { },
publisher = {IEEE Dataport},
title = {Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications},
year = {2018} }
TY - DATA
T1 - Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H22D4M
ER -
. (2018). Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications. IEEE Dataport. http://dx.doi.org/10.21227/H22D4M
, 2018. Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications. Available at: http://dx.doi.org/10.21227/H22D4M.
. (2018). "Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications." Web.
1. . Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H22D4M
. "Unidirectional Loop Metamaterials (ULM) as Magnetless Artificial Ferrimagnetic Materials: Principles and Applications." doi: 10.21227/H22D4M

Isotropic Surface Remeshing without Large and Small Angles


We introduce a novel algorithm for isotropic surface remeshing which progressively eliminates obtuse triangles and improves small angles. The main novelty of the proposed approach is a simple vertex insertion scheme that facilitates the removal of large angles, and a vertex removal operation that improves the distribution of small angles. Combined with other standard local mesh operators, e.g., connectivity optimization and local tangential smoothing, our algorithm is able to remesh a

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Dongming Yan
Last updated:
Tue, 06/05/2018 - 10:24
DOI:
10.21227/H2766V
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Isotropic Surface Remeshing without Large and Small Angles", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2766V. Accessed: Jul. 21, 2018.
@data{h2766v-18,
doi = {10.21227/H2766V},
url = {http://dx.doi.org/10.21227/H2766V},
author = { },
publisher = {IEEE Dataport},
title = {Isotropic Surface Remeshing without Large and Small Angles},
year = {2018} }
TY - DATA
T1 - Isotropic Surface Remeshing without Large and Small Angles
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2766V
ER -
. (2018). Isotropic Surface Remeshing without Large and Small Angles. IEEE Dataport. http://dx.doi.org/10.21227/H2766V
, 2018. Isotropic Surface Remeshing without Large and Small Angles. Available at: http://dx.doi.org/10.21227/H2766V.
. (2018). "Isotropic Surface Remeshing without Large and Small Angles." Web.
1. . Isotropic Surface Remeshing without Large and Small Angles [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2766V
. "Isotropic Surface Remeshing without Large and Small Angles." doi: 10.21227/H2766V

IAarticles Collection


The IAarticles.csv file has the IAarticles documents collection composed of 66,602 terms (dimensions), 40 documents (objects), and 4 classes (clu, mtx, ont, rif). In the first column it has the name of a document and in the last column it has its class.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Fernanda Eustaquio
Last updated:
Sat, 03/24/2018 - 11:59
DOI:
10.21227/H2HM1K
Data Format:
Links:
 
Share / Embed Cite

Categories & Keywords

Documentation

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "IAarticles Collection", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H2HM1K. Accessed: Jul. 21, 2018.
@data{h2hm1k-18,
doi = {10.21227/H2HM1K},
url = {http://dx.doi.org/10.21227/H2HM1K},
author = { },
publisher = {IEEE Dataport},
title = {IAarticles Collection},
year = {2018} }
TY - DATA
T1 - IAarticles Collection
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H2HM1K
ER -
. (2018). IAarticles Collection. IEEE Dataport. http://dx.doi.org/10.21227/H2HM1K
, 2018. IAarticles Collection. Available at: http://dx.doi.org/10.21227/H2HM1K.
. (2018). "IAarticles Collection." Web.
1. . IAarticles Collection [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H2HM1K
. "IAarticles Collection." doi: 10.21227/H2HM1K

Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number


This data is a subset of the results of direct numerical simulations of a turbulent upward-directed flow of a liquid metal in a vertical channel.

License: Creative Commons Attribution

Dataset Files

You must be an IEEE Dataport Subscriber to access these files. Login or subscribe now.

Help us make IEEE DataPort better. Sign up to be a Beta Tester and receive a coupon code for a free subscription to IEEE DataPort! Learn More

Dataset Details

Citation Author(s):
Submitted by:
Baldwin Nsonga
Last updated:
Wed, 03/07/2018 - 12:04
DOI:
10.21227/H23Q0H
Data Format:
Links:
 
Share / Embed Cite

Categories & Keywords

Subscribe

Embed this dataset on another website

Copy and paste the HTML code below to embed your dataset:

Share via email or social media

Click the buttons below:

facebooktwittermailshare
[1] , "Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number", IEEE Dataport, 2018. [Online]. Available: http://dx.doi.org/10.21227/H23Q0H. Accessed: Jul. 21, 2018.
@data{h23q0h-18,
doi = {10.21227/H23Q0H},
url = {http://dx.doi.org/10.21227/H23Q0H},
author = { },
publisher = {IEEE Dataport},
title = {Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number},
year = {2018} }
TY - DATA
T1 - Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number
AU -
PY - 2018
PB - IEEE Dataport
UR - 10.21227/H23Q0H
ER -
. (2018). Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number. IEEE Dataport. http://dx.doi.org/10.21227/H23Q0H
, 2018. Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number. Available at: http://dx.doi.org/10.21227/H23Q0H.
. (2018). "Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number." Web.
1. . Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number [Internet]. IEEE Dataport; 2018. Available from : http://dx.doi.org/10.21227/H23Q0H
. "Simulation Data of Buoyancy-affected backward-facing step flow with heat transfer at low Prandtl number." doi: 10.21227/H23Q0H

Pages