5,561 research outputs found
1st INCF Workshop on Sustainability of Neuroscience Databases
The goal of the workshop was to discuss issues related to the sustainability of neuroscience databases, identify problems and propose solutions, and formulate recommendations to the INCF. The report summarizes the discussions of invited participants from the neuroinformatics community as well as from other disciplines where sustainability issues have already been approached. The recommendations for the INCF involve rating, ranking, and supporting database sustainability
Evaluating XMPP Communication in IEC 61499-based Distributed Energy Applications
The IEC 61499 reference model provides an international standard developed
specifically for supporting the creation of distributed event-based automation
systems. Functionality is abstracted into function blocks which can be coded
graphically as well as via a text-based method. As one of the design goals was
the ability to support distributed control applications, communication plays a
central role in the IEC 61499 specification. In order to enable the deployment
of functionality to distributed platforms, these platforms need to exchange
data in a variety of protocols. IEC 61499 realizes the support of these
protocols via "Service Interface Function Blocks" (SIFBs). In the context of
smart grids and energy applications, IEC 61499 could play an important role, as
these applications require coordinating several distributed control logics.
Yet, the support of grid-related protocols is a pre-condition for a wide-spread
utilization of IEC 61499. The eXtensible Messaging and Presence Protocol (XMPP)
on the other hand is a well-established protocol for messaging, which has
recently been adopted for smart grid communication. Thus, SIFBs for XMPP
facilitate distributed control applications, which use XMPP for exchanging all
control relevant data, being realized with the help of IEC 61499. This paper
introduces the idea of integrating XMPP into SIFBs, demonstrates the
prototypical implementation in an open source IEC 61499 platform and provides
an evaluation of the feasibility of the result.Comment: 2016 IEEE 21st International Conference on Emerging Technologies and
Factory Automation (ETFA
EcoGIS – GIS tools for ecosystem approaches to fisheries management
Executive Summary:
The EcoGIS project was launched in September 2004 to investigate how Geographic Information Systems (GIS), marine data, and custom analysis tools can better enable fisheries scientists and managers to adopt Ecosystem Approaches to Fisheries Management (EAFM). EcoGIS is a collaborative effort between NOAA’s National Ocean Service (NOS) and National Marine Fisheries Service (NMFS), and four regional Fishery Management Councils.
The project has focused on four priority areas: Fishing Catch and Effort Analysis, Area Characterization, Bycatch Analysis, and Habitat Interactions. Of these four functional areas, the project team first focused on developing a working prototype for catch and effort analysis: the Fishery Mapper Tool. This ArcGIS extension creates time-and-area summarized maps of fishing catch and effort from logbook, observer, or fishery-independent survey data sets. Source data may come from Oracle, Microsoft Access, or other file formats. Feedback from beta-testers of the Fishery Mapper was used to debug the prototype, enhance performance, and add features.
This report describes the four priority functional areas, the development of the Fishery Mapper tool, and several themes that emerged through the parallel evolution of the EcoGIS project, the concept and implementation of the broader field of Ecosystem Approaches to Management (EAM), data management practices, and other EAM toolsets. In addition, a set of six succinct recommendations are proposed on page 29.
One major conclusion from this work is that there is no single “super-tool” to enable Ecosystem Approaches to Management; as such, tools should be developed for specific purposes with attention given to interoperability and automation. Future work should be coordinated with other GIS development projects in order to provide “value added” and minimize duplication of efforts.
In addition to custom tools, the development of cross-cutting Regional Ecosystem Spatial Databases will enable access to quality data to support the analyses required by EAM. GIS tools will be useful in developing Integrated Ecosystem Assessments (IEAs) and providing pre- and post-processing capabilities for spatially-explicit ecosystem models.
Continued funding will enable the EcoGIS project to develop GIS tools that are immediately applicable to today’s needs. These tools will enable simplified and efficient data query, the ability to visualize data over time, and ways to synthesize multidimensional data from diverse sources. These capabilities will provide new information for analyzing issues from an ecosystem perspective, which will ultimately result in better understanding of fisheries and better support for decision-making. (PDF file contains 45 pages.
UK utility data integration: overcoming schematic heterogeneity
In this paper we discuss syntactic, semantic and schematic issues which inhibit the integration of utility data in the UK. We then focus on the techniques employed within the VISTA project to overcome schematic heterogeneity. A Global
Schema based architecture is employed. Although automated approaches to Global Schema definition were attempted
the heterogeneities of the sector were too great. A manual approach to Global Schema definition was employed. The
techniques used to define and subsequently map source utility data models to this schema are discussed in detail. In order to ensure a coherent integrated model, sub and cross domain validation issues are then highlighted. Finally the proposed framework and data flow for schematic integration is introduced
Ontology of core data mining entities
In this article, we present OntoDM-core, an ontology of core data mining
entities. OntoDM-core defines themost essential datamining entities in a three-layered
ontological structure comprising of a specification, an implementation and an application
layer. It provides a representational framework for the description of mining
structured data, and in addition provides taxonomies of datasets, data mining tasks,
generalizations, data mining algorithms and constraints, based on the type of data.
OntoDM-core is designed to support a wide range of applications/use cases, such as
semantic annotation of data mining algorithms, datasets and results; annotation of
QSAR studies in the context of drug discovery investigations; and disambiguation of
terms in text mining. The ontology has been thoroughly assessed following the practices
in ontology engineering, is fully interoperable with many domain resources and
is easy to extend
Environmental science applications with Rapid Integrated Mapping and analysis System (RIMS)
The Rapid Integrated Mapping and analysis System (RIMS) has been developed at the University of New Hampshire as an online instrument for multidisciplinary data visualization, analysis and manipulation with a focus on hydrological applications. Recently it was enriched with data and tools to allow more sophisticated analysis of interdisciplinary data. Three different examples of specific scientific applications with RIMS are demonstrated and discussed. Analysis of historical changes in major components of the Eurasian pan-Arctic water budget is based on historical discharge data, gridded observational meteorological fields, and remote sensing data for sea ice area. Express analysis of the extremely hot and dry summer of 2010 across European Russia is performed using a combination of near-real time and historical data to evaluate the intensity and spatial distribution of this event and its socioeconomic impacts. Integrative analysis of hydrological, water management, and population data for Central Asia over the last 30 years provides an assessment of regional water security due to changes in climate, water use and demography. The presented case studies demonstrate the capabilities of RIMS as a powerful instrument for hydrological and coupled human-natural systems research
Towards ensuring scalability, interoperability and efficient access control in a multi-domain grid-based environment
The application of grid computing has been hampered by three basic challenges:
scalability, interoperability and efficient access control which need to be optimized before a full-scale
adoption of grid computing can take place. To address these challenges, a novel architectural model
was designed for a multi-domain grid based environment (built on three domains). It was modelled
using the dynamic role-based access control. The architecture’s framework assumes that each domain
has an independent local security monitoring unit and a central security monitoring unit that monitors
security for the entire grid. The architecture was evaluated using the Grid Security Services
Simulator, a meta-query language and Java Runtime Environment 1.7.0.5 for implementing the
workflows that define the model’s task. In terms of scalability, the results show that as the number of
grid nodes increases, the average turnaround time reduces, and thereby increases the number of
service requesters (grid users) on the grid. Grid middleware integration across various domains as
well as the appropriate handling of authentication and authorisation through a local security
monitoring unit and a central security monitoring unit proved that the architecture is interoperable.
Finally, a case study scenario used for access control across the domains shows the efficiency of the
role based access control approach used for achieving appropriate access to resources. Based on the
results obtained, the proposed framework has proved to be interoperable, scalable and efficiently
suitable for enforcing access control within the parameters evaluated.Department of HE and Training approved lis
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