Thursday, September 21, 2017
      CMRE Facebook page  CMRE LinkedIn page  CMRE PAO Youtube page
   
Text Size
CMRE banner

Formal Reports

Report of results of completed projects or major milestones either in scientific terms or in terms acceptable to a wider audience. Note: Unless linked to the full text, reports are only available to NATO member nations from designated distribution centres. 

Documents

Order by : Name | Date | Hits [ Ascendant ]

Web service interoperability in a network-enabled environment Web service interoperability in a network-enabled environment

Date added: 03/11/2014
Date modified: 03/11/2014
Filesize: Unknown

Web service interoperability in a network-enabled environment. Arcieri, Gianfranco ; Cimino, Giampaolo ; Horn, Steven A. ; Bryan, Karna. CMRE-FR-2014-003. February 2014.

This document discusses a Service Oriented Architecture (SOA) based approach for sharing, processing and visualizing big data in the MSA domain. The SOA is an architectural model for developing distributed applications. Applications are based on the aggregation of loosely coupled and interoperable services, where a service is a single unit of specific functionality exposed to the world. The applications developed in this report make use of the Windows Communication Foundation (WCF) which is Microsoft's framework for building reliable, secure and interoperable distributed applications. WCF implements many advanced Web service standards, and enables interoperability with other Web services built on different platforms.

Volumetric distribution of oceanographic fields estimated from fusing remote sensing with in situ data collected by UUVs of opportunity Volumetric distribution of oceanographic fields estimated from fusing remote sensing with in situ data collected by UUVs of opportunity

Date added: 06/01/2008
Date modified: 06/21/2012
Filesize: Unknown

Volumetric distribution of oceanographic fields estimated from fusing remote sensing with in situ data collected by UUVs of opportunity. Alvarez, A. NURC-FR-2008-019. June 2008.

A main challenge of military oceanography (MILOC) is to assess the oceanographic conditions of denied/unsafe marine regions. Monitoring technologies are limited to those that can guarantee assured access to these regions. Remote sensing and unmanned underwater vehicles (UUVs) fulfils MILOC requirements. Unfortunately, the environmental information gathered by these technologies is not complete. Remote sensing provides information about some surface conditions and water column integrated variables. Potentially, UUVs could provide a fully environmental characterization of the region of interest but technological limitations and/or operational priorities have constrained their use during real crisis situations to missions with different purposes than environmental assessment. Under this scenario, data fusion techniques to maximize the information of the collected data are essential. This report proposes a technique to fuse data gathered by remote sensing platforms and UUVs performing missions not specifically designed for environmental data collection. The technique estimates the state that maximizes the a posterior probability. A variational methodology allows to include remote sensing information as boundary constraints. The approach uses three dimensional finite elements to solve the maximization problem. Unlike traditional geostatistical techniques, this allows to process data sets with a huge number of samples such as those obtained from UUVs. The proposed technique has been tested in a complex simulated environment. The approach produces realistic estimations of the volumetric distribution of the sampled oceanographic field. Results also highlight the relevance to incorporate into the estimation the surface information provided by remote sensors. Further research is suggested to validate the methodology using real data and to generalize it including other sources of information.

Very shallow water and bottom modelling: final report Very shallow water and bottom modelling: final report

Date added: 05/01/2008
Date modified: 06/21/2012
Filesize: Unknown

Very shallow water and bottom modelling: final report. Conley, D.C.; Falchetti, S. NURC-FR-2008-011. May 2008.

This document comprises the final report of the Very Shallow Water Modelling Project, the overall goal of which was to work towards the development of a 3-D surf zone model capable of simulating not only circulation but also sediment transport and the subsequent bathymetric evolution arising from erosion and deposition. This topic is central not only to the prediction of bathymetric modifications in very shallow water and the surf-zone (shallower than 10 m) but also to such issues as mine burial by scour and even water column visibility.

Utilization of satellite based inversion methods and fuzzy logic in decision support system (DSS) Utilization of satellite based inversion methods and fuzzy logic in decision support system (DSS)

Date added: 05/01/2008
Date modified: 06/21/2012
Filesize: Unknown

Utilization of satellite based inversion methods and fuzzy logic in decision support system (DSS). Pennucci, G.; Grasso, R.; Giannecchini, S.; Fabiani, A.; Trees, C. NURC-FR-2008-012. May 2008.

This report describes the study of techniques to provide decision support, using satellite remote sensing observations and fuzzy logic methodologies. The purpose is the development of analysis tools that fully exploit the information content in optical imagery data, particularly as it applies to remote sensing bathymetry for use in decision support. The concept was demonstrated by developing an end-to-end processing system for amphibious landing operation support at tactical scale. The prototype chains high resolution forecast models to predict environmental variables of interest, fuzzy logic expert systems for environmental impact assessment and automatic decision making, and Web-GIS client-server application for data management and distribution. Algorithms to estimate shallow water bathymetry from passive multi-spectral sensors are integrated into the decision support prototype as required by high resolution forecast models to predict wave conditions over the landing area. Results from the NATO Steadfast Jaguar 2006 exercise and the NURC Battlespace Preparation 2007 sea trial are provided and discussed.

Using the A* path planning algorithm to assess multistatic field perfomance. Using the A* path planning algorithm to assess multistatic field perfomance.

Date added: 07/01/2009
Date modified: 08/10/2012
Filesize: Unknown

Using the A* path planning algorithm to assess multistatic field performance. Strode, C. NURC-FR-2009-010. July 2009.

The A* path planning algorithm is used to model the worst case, most intelligent threat, attempting to penetrate a multistatic barrier. The number of detections, track initiations, and overall path length are used as performance metrics. The study examines how a number of A* solutions employed against given geometries highlight potential weaknesses and may be used to guide an operator toward a more effective barrier geometry.

User Login