Recent Advances on Telematics Engineering

Agüero, R.; Payeras Capella, MM.; Lloret, J.; Femenias, G. (2017). Recent Advances on Telematics Engineering. Mobile Networks and Applications. 22(6):1065-1067. https://doi.org/10.1007/s11036-017-0836-71065106722

Recent Advances on Telematics Engineering

[EN] This Special Issue includes extended versions of selected papers from the XII Jornadas de Ingeniería Telemática (JITEL 2015), that took place in Palma, Spain, from October 14th to 16th, 2015. These papers underwent a rigorous review process, ensuring that they present enough new material so as to be considered original contributions while avoiding self-plagiarism.Agüero Calvo, R.; Payeras Capellà, MM.; Femenias Nadal, G.; Lloret, J. (2016). Recent Advances on Telematics Engineering. Network Protocols and Algorithms. 8(1):1-6. https://doi.org/10.5296/npa.v8i1.9365S168

A Review of Trip Planning Systems.

This report reviews current information provision in all modes of transport and assesses the needs for and benefits of trip planning systems. The feasibility of trip planning systems is discussed given the current state of technology and information availability and supply. The review was stimulated by technological developments in telecommunications and information technology which are providing the possibility of a greatly enhanced quality of information to aid trip planning decisions. Amongst the conclusions reached were the following: Current information provision is considered deficient in many respects. Travellers are often unaware of alternative routes or services and many are unable to acquire adequate information from one source especially for multi-modal journeys. In addition, there is a lack of providing real time information where it is required (bus stops and train stations) and of effective interaction of static and real time information. Most of the projects, which integrate static and dynamic data, are single mode systems. Therefore there is a need for an integrated trip planning system which can inform and guide on all aspects of transport. Trip planning systems can provide assistance in trip planning (before and during the journey) using one or a number of modes of travel, taking into account travellers preferences and constraints, and effectively integrating static and dynamic data. Trip planning systems could adversely affect traffic demand as people who become aware of new opportunities might be encouraged to make more journeys. It could also affect travellers choice as a result of over-saturation of information, over-reaction to predictive information, and concentration on the same 'best' routes. However, it can be argued, based on existing evidence, that such a system can benefit travellers, and transport operators as well as the public sector responsible for executing transport policies. Travellers can benefit by obtaining adequate information to help them in making optimal decisions and reducing uncertainty and stress associated with travel. Public transport operators can benefit by making their services known to customers, leading to increased patronage. Public transport authorities can use the supply of information to execute their transport policies and exercise more control over traffic management

Expert System for Crop Disease based on Graph Pattern Matching: A proposal

Para la agroindustria, las enfermedades en cultivos constituyen uno de los problemas más frecuentes que generan grandes pérdidas económicas y baja calidad en la producción. Por otro lado, desde las ciencias de la computación, han surgido diferentes herramientas cuya finalidad es mejorar la prevención y el tratamiento de estas enfermedades. En este sentido, investigaciones recientes proponen el desarrollo de sistemas expertos para resolver este problema haciendo uso de técnicas de minería de datos e inteligencia artificial, como inferencia basada en reglas, árboles de decisión, redes bayesianas, entre otras. Además, los grafos pueden ser usados para el almacenamiento de los diferentes tipos de variables que se encuentran presentes en un ambiente de cultivos, permitiendo la aplicación de técnicas de minería de datos en grafos, como el emparejamiento de patrones en los mismos. En este artículo presentamos una visión general de las temáticas mencionadas y una propuesta de un sistema experto para enfermedades en cultivos, basado en emparejamiento de patrones en grafos.For agroindustry, crop diseases constitute one of the most common problems that generate large economic losses and low production quality. On the other hand, from computer science, several tools have emerged in order to improve the prevention and treatment of these diseases. In this sense, recent research proposes the development of expert systems to solve this problem, making use of data mining and artificial intelligence techniques like rule-based inference, decision trees, Bayesian network, among others. Furthermore, graphs can be used for storage of different types of variables that are present in an environment of crops, allowing the application of graph data mining techniques like graph pattern matching. Therefore, in this paper we present an overview of the above issues and a proposal of an expert system for crop disease based on graph pattern matching

Exploration and Project Management

Project management in academic studies tends to be regarded as an adequate solution to the problems raised by innovation. This paper sets out to question this tendency to equate projects and innovation which, in our view, can lead to the improper use of projects to manage innovation. We argue that, in line with the work on project classification, a distinction should be made between the various types of design situations to which different types of projects are suited. Qualitative research on automotive telematics allows us to identify the management methods suited to the most innovative projects, i.e. exploration projects for which neither technologies nor customer requirements are known at the start of the project. We will show how these situations shake up traditional project management models and will propose five management principles adapted to this new situation.innovation, project management, Automotive telematics, New Product Development, exploration

Achieving genuinely dynamic road user charging : issues with a GNSS-based approach

Peer reviewedPostprin