“Aplicación móvil inteligente para la predicción de la pérdida de señal en redes de telecomunicación a partir de variables meteorológicas
The aim of this research project is to develop a mobile application to predict signal loss in terms of meteorological variables, serving as support for decision-making by telecommunication specialists. For the development of the project was used the information of previous research. During the proje...
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| Format: | bachelorThesis |
| Idioma: | spa |
| Publicat: |
2017
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| Accés en línia: | http://repositorio.uteq.edu.ec/handle/43000/3777 |
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Afegir etiqueta | Sumari: | The aim of this research project is to develop a mobile application to predict signal loss in terms of meteorological variables, serving as support for decision-making by telecommunication specialists. For the development of the project was used the information of previous research. During the project a pre-processing of the data was performed; removing outliers and correlations between variables. Also, different data mining classification techniques were analyzed using an optimization approach. As a result, it was determined that the classification algorithm based on Artificial Neural Networks turns out to be the most accurate with an accuracy level of 100%. With aims of applying the classification model obtained during the process of data mining in real-life scenarios, it was represented using the PMML language and subsequently processed with Java technology for the development of a mobile application. The application is named SignalPred and predicts possible signal losses from both manual and automated reading of meteorological variables. |
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