High-Throughput Infrastructure for Advanced ITS Services

Hoy nos han comunicado la publicación de un nuevo artículo, con el que llevábamos trabajando desde el año pasado.

High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring.

Abstract:

Novel cooperative intelligent transportation systems (ITS) serve as the basis for the provision of a number of services for drivers, occupants, and third parties. The vast amount of information to be collected, especially in vehicle-to-infrastructure (V2I) communication services, requires new algorithms and hardware platforms to cope with real-time requirements; however, this combination is not properly addressed in the literature. In this paper, we introduce a high-throughput hardware-software infrastructure to gather information from vehicles and efficiently process it to provide novel ITS services. We propose a parallelization approach of a fuzzy clustering technique on heterogeneous servers based on CPU and several GPUs, tailored to classification problems in V2I. The infrastructure is empirically tested to offer a geo-located pollution information service through the periodical collection of both vehicle’s position and status data. We offer a real service that correctly identifies highly polluting traffic areas and drivers. The results indicate a good performance of the system under high loads, and our scalability analysis reveals a good operation in real-ambitious deployments thanks to the use of the both CPU and multiple GPUs, showing that our proposal can efficiently host cooperative services involving high processing in the ITS context.

A novel fuzzy clustering approach to regionalise watersheds

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Influence of multivariate modeling in the prediction of soil carbon by a portable infrared sensor

Contribución Workshop Proceedings of the 13th International Conference on Intelligent Environments, Seoul, Korea, August 2017. Abstract The determination of carbon is one of the most important in soil analysis. However traditional techniques are costly and time consuming. In this manuscript we propose an alternative predictive approach based on portable mid-infrared spectroscopy data modeled by machine learning […]

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Fuzzy clustering as rational partition method for QSAR

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Parallel implementation of fuzzy minimals clustering algorithm

Publicacion de nuestro artículo Parallel implementation of fuzzy minimals clustering algorithm en Expert Systems with Applications.