J. Olivé

Real-Time Fleet Ship Monitoring System Using Satellite Broadband Communications and Google Earth

This paper aims on collaborative filtering (CF) in TV recommendation system which combines content-based and collaborative filtering recommendation mechanism, we propose an algorithm that using the self-organizing mapping (SOM) to optimize the improved k-means (IK) clustering in collaborative filtering. The whole clustering algorithm is divided into two phases: at the first stage, the quantity of the preliminary clustering and the central point of each cluster were acquired by means of the auto-clustering advantages of SOM algorithm, at the second stage, we first improve the basic k-means algorithm. We utilize the adjusted cosine similarity to calculate the distance from the user to the cluster center, and when calculating the mean of the cluster, just consider all of those users who have given scores for items. The improved k-means improves the accuracy of clustering and is more suitable for using in CF system compared to the basic k-means algorithm. Furthermore we take the results of SOM as the initial input of the IK algorithm to make the further clustering, the accurate clustering results are gained. Finally, the simulations verify that the MAE (mean absolute error)was reduced by 15.7% and 17.4% respectively compared to IK and k-means algorithms, the proposed approach increases the quality of clustering, and enhances the accuracy of the recommended TV program.The Sequential Monte Carlo (SMC) method is a simulation-based approach to compute posterior distributions. SMC methods often work well on applications considered intractable by other methods due to high dimensionality, but they are computationally demanding. While SMC has been implemented efficiently on FPGAs, design productivity remains a challenge. This paper introduces a design flow for generating efficient implementation of reconfigurable SMC designs. Through templating the SMC structure, the design flow enables efficient mapping of SMC applications to multiple FPGAs. The proposed design flow consists of a parametrisable SMC computation engine, and an open-source software template which enables efficient mapping of a variety of SMC designs to reconfigurable hardware. Design parameters that are critical to the performance and to the solution quality are tuned using a machine learning algorithm based on surrogate modelling. Experimental results for three case studies show that design performance is substantially improved after parameter optimisation. The proposed design flow demonstrates its capability of producing reconfigurable implementations for a range of SMC applications that have significant improvement in speed and in energy efficiency over optimised CPU and GPU implementations.This work describes the development of a monitoring system for vessels from the Marine Technology Unit (UTM) of the Spanish Research Council (CSIC) and draws on the graph capabilities and the potential access to remote data that is offered by Google Earth and the new satellite data transmission capabilities installed on-board. Performance analysis is carried out at several critical points of the system, in terms of data processing and networking. This development is a product of a more ambitious acquisition project that deals with the modeling and acquisition of oceanographic data led by a working group at the UTM and the Universitat Politècnica de Catalunya. This system, with minor variations in implementation, can be adopted to monitor a greater number of mobile units while at the same time remain sufficiently flexible to be used as a didactic teaching tool for schools and universitiesIn cybernetics filed, the benefit of event-triggered control reaches a consensus, but in practice the event-triggered control is hampered by the lack of a system theory. This paper provides a Cyber-Physical System (CPS) viewpoint of the relation between the controller and the physical plant to explain the event detection logic of the event-triggered control. The relation between the controller and the physical plant is considered as communication, and based on this communication process the controller and the physical plant exchange the information entropy and thermodynamic entropy. The physical plant generates the thermodynamic entropy and the controller provides the negative thermodynamic entropy based on the predictability of the mathematical model for the physical plant, where there is an entropy balance process between the thermodynamic entropy and information entropy. The adjustment of the controller cycle period is the process to adjust the entropy balance process, which implies the event detection logic.

Oceanographic Data Acquisition and dissemination infrastructure for UTM-CSIC research vessels

A new Data Acquisition and Operation System for Oceanographic ships and Instrumentation Networks has been developed by the Marine Technology Unit of the Spanish Research Vessels for their networked remote acquisition platforms. The new system built over LABVIR project background follows a Service Oriented Architecture to allow expandable access to acquired data in real time and to archived data. Several Data layers are implemented to allow data access from the more common tools and formats used in marine sciences.

Data Acquisition in Oceanographic Research Vessels

This paper describes the design and the development of a new real time data acquisition system which focuses on oceanographic research. The system has been implemented in several Spanish oceanographic platforms (vessels and land-sites) using very reliable MESH network that can still operate when one node breaks down or a connection goes bad. Service Oriented Architecture allows expandable access to real time and historical data. This system is applicable to any network of instrumentation where an integrated management of data and a wide range of access procedures are needed. We can frame these data acquisition system in a satellite communications environment both VSAT (C band) and TNX75 (X band). The target domain off these projects is to provide long-range data and optimize satellite communications resources. The challenging issue is to achieve cross-platform data-generating infrastructure, which in an optimized use of system resources and provide real time information to the user without depending on the location in which to generate or produce them. The project is focused mainly in relation to the acquisition of data, such as an integrated system of generation of data with a multilayer structure for accessing data consulting services, all using communications via satellite. To this day, we fully integrated platform and running, and we are expanding the services and optimizing the end-user interfaces with these new services. The eyelet of this document is to provide global technical community the current status in Spain, in regard to oceanographic data generation and exploitation of the same by the scientific community, from both the oceanographic vessels located anywhere of the world from locations ashore.