5,780 research outputs found
The DECIDE Project: Designing and Implementing a Prototype Service for Supporting Early Diagnosis of Alzheimer's Disease
This paper will present the design and implementation challenges of the innovative DECIDE service, to support research and early diagnosis of Alzheimerâs and other neurodegenerative diseases. DECIDE service, which is based on a Grid eInfrastructure, offers a set of tools providing quantitative measurements, to help researchers and clinicians make more informed diagnosis. As the service specifically targets the clinical community, it differs significantly from other initiatives since it needs to comply with the requirements imposed by the clinical routine in terms of accuracy, robustness, ease of use, data handling policies, adherence to clinical praxis. Moreover, sustainability aspects will also be discussed, since DECIDE aims to propose such service as a reference at European level, possibly extending it to other pathologies. We will then summarize the main results obtained to date, and the possible future developments
Intelligent monitoring of the health and performance of distribution automation
With a move to 'smarter' distribution networks through an increase in distribution automation and active network management, the volume of monitoring data available to engineers also increases. It can be onerous to interpret such data to produce meaningful information about the health and performance of automation and control equipment. Moreover, indicators of incipient failure may have to be tracked over several hours or days. This paper discusses some of the data analysis challenges inherent in assessing the health and performance of distribution automation based on available monitoring data. A rule-based expert system approach is proposed to provide decision support for engineers regarding the condition of these components. Implementation of such a system using a complex event processing system shell, to remove the manual task of tracking alarms over a number of days, is discussed
DATA WAREHOUSE AND BUSINESS INTELLIGENCE STRATEGIES AND TRENDS
In recent decades following the evolution of information technology, decision support systems have played an important role by presenting the necessary information resulted from the operational systems processes. By continuing improvement of the methods as well as the contribution of technological advance the applicability of decision support systems is now generalized and has reached the status of complex systems of business intelligence. Business Intelligence is about creating intelligence about a business based on a cyclic flow which consists of capturing, analyzing, planning and implementation resulting in streamlining the organization.Decisions, DSS, Data Driven, Business Intelligence, Data Warehouse
Information Integration for Counter Terrorism Activities: The Requirement for Context Mediation
The National Research Council has noted that although there are many private and public databases that contain
information potentially relevant to counterterrorism programs, they lack the necessary context definitions (i.e.,
metadata) and access tools to enable interoperation with other databases and the extraction of meaningful and
timely information. In this paper we present examples of these problems and a technology developed at MIT,
called context mediation, which provides a novel approach for addressing these problems
Data DNA: The Next Generation of Statistical Metadata
Describes the components of a complete statistical metadata system and suggests ways to create and structure metadata for better access and understanding of data sets by diverse users
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