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Container Crane Controller Data Set Data Set
Download: Data Folder, Data Set Description

Abstract: A container crane has the function of transporting containers from one point to another point.

Data Set Characteristics:  

Univariate, Domain-Theory

Number of Instances:

15

Area:

Computer

Attribute Characteristics:

Real

Number of Attributes:

3

Date Donated

2018-01-01

Associated Tasks:

Classification, Regression

Missing Values?

N/A

Number of Web Hits:

13468


Source:

Creators original owner and donors: Ricardo Pinto Ferreira (1), Andrea Martiniano (2), Arthur Ferreira (3), Marcio Romero (4) and Renato Jose Sassi (5).

E-mail address:
log.kasparov '@' gmail.com (1) - PhD student;
andrea.martiniano '@' gmail.com (2) - PhD student;
arthur2.ferreira '@' usp.br (3) - Graduation student;
mhromero '@' hotmail.com (4) - PhD student;
sassi '@' uni9.pro.br (5) - Prof. Doctor

Universidade Nove de Julho - Post-Graduation Program in Informatics and Knowledge Management.

Address: Rua Vergueiro, 235/249 Liberdade, Sao Paulo – SP, Brazil. Zip code: 01504-001.

Website: http://www.uninove.br/curso/informatica-e-gestao-do-conhecimento/


Data Set Information:

Two predictive attributes (Speed and Angle) and one attribute target (Power).
A container crane has the function of transporting containers from one point to another point. The difficulty of this task lies in the fact that the container is connected to the bridge crane by cables causing an opening angle while the container is being transported, interfering with the operation at high speeds due to oscillation that occurs at the end point, which could cause accidents.


Attribute Information:

Speed of moving Container Crane: low, medium and high (low: 1, 2, 3; medium: 6, 7, 8; high: 9, 10).
Angle: large negative angle, small negative angle, angle zero, small positive angle and large positive angle.
Power: low, medium and high (low: 0.3; medium: 0.5; high: 0.7).
for Weka:
@relation Container_Crane_Controller
@attribute Speed REAL
@attribute Angle REAL
@attribute Power REAL
@data
1.0, -5.0, 0.3
2.0, 5.0, 0.3
3.0, -2.0, 0.5
1.0, 2.0, 0.5
2.0, 0.0, 0.7
6.0, -5.0, 0.5
7.0, 5.0, 0.5
6.0, -2.0, 0.3
7.0, 2.0, 0.3
6.0, 0.0, 0.7
8.0, -5.0, 0.5
9.0, 5.0, 0.5
10.0, -2.0, 0.3
8.0, 2.0, 0.3
9.0, 0.0, 0.5


Relevant Papers:

Ferreira, R. P., Martiniano, A., Ferreira, A., Romero, M., & Sassi, R. J. (2016). Container Crane Controller with the Use of a NeuroFuzzy Network. In IFIP International Conference on Advances in Production Management Systems (pp. 122-129). Springer, Cham. DOI: 10.1007/978-3-319-51133-7_15.



Citation Request:

Ferreira, R. P., Martiniano, A., Ferreira, A., Romero, M., & Sassi, R. J. (2016). Container Crane Controller with the Use of a NeuroFuzzy Network. In IFIP International Conference on Advances in Production Management Systems (pp. 122-129). Springer, Cham. DOI: 10.1007/978-3-319-51133-7_15.


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