Dimitris Gavrilis

Grammatical evolution for features of epileptic oscillations in clinical intracranial electroencephalograms

This paper presents grammatical evolution (GE) as an approach to select and combine features for detecting epileptic oscillations within clinical intracranial electroencephalogram (iEEG) recordings of patients with epilepsy. Clinical iEEG is used in preoperative evaluations of a patient who may have surgery to treat epileptic seizures. Literature suggests that pathological oscillations may indicate the region(s) of brain that cause epileptic seizures, which could be surgically removed for therapy. If this presumption is true, then the effectiveness of surgical treatment could depend on the effectiveness in pinpointing critically diseased brain, which in turn depends on the most accurate detection of pathological oscillations. Moreover, the accuracy of detecting pathological oscillations depends greatly on the selected feature(s) that must objectively distinguish epileptic events from average activity, a task that visual review is inevitably too subjective and insufficient to resolve. Consequently, this work suggests an automated algorithm that incorporates grammatical evolution (GE) to construct the most sufficient feature(s) to detect epileptic oscillations within the iEEG of a patient. We estimate the performance of GE relative to three alternative methods of selecting or combining features that distinguish an epileptic gamma (~65-95 Hz) oscillation from normal activity: forward sequential feature-selection, backward sequential feature-selection, and genetic programming. We demonstrate that a detector with a grammatically evolved feature exhibits a sensitivity and selectivity that is comparable to a previous detector with a genetically programmed feature, making GE a useful alternative to designing detectors.

A Curation-Oriented Thematic Aggregator

The emergence of the European Digital Library (Europeana) presents the need for aggregating content using a more intelligent and effective approach, taking into account the need to support potential changes in target metadata schemas and new services. This paper presents the concept, architecture and services provided by a curation-oriented, OAIS-compliant thematic metadata aggregator, developed and used in the CARARE project, that addresses these challenges.

Mopseus: a digital library management system focused on preservation

This paper presents Mopseus, a Fedora-commons based digital repository that focuses on preservation. An overview of the general architecture of the system is presented along with some more in-depth details of its semantic structures. Mopseus features dynamic RDF- based relations, a service for defining metadata schemas, a built-in RDBMS synchronization and indexing mechanism, a mechanism for migration from existing repositories and a built-in workflow engine.

ARIADNE: A Research Infrastructure for Archaeology

Research e-infrastructures, digital archives, and data services have become important pillars of scientific enterprise that in recent decades have become ever more collaborative, distributed, and data intensive. The archaeological research community has been an early adopter of digital tools for data acquisition, organization, analysis, and presentation of research results of individual projects. However, the provision of e-infrastructure and services for data sharing, discovery, access, and (re)use have lagged behind. This situation is being addressed by ARIADNE, the Advanced Research Infrastructure for Archaeological Dataset Networking in Europe. This EU-funded network has developed an e-infrastructure that enables data providers to register and provide access to their resources (datasets, collections) through the ARIADNE data portal, facilitating discovery, access, and other services across the integrated resources. This article describes the current landscape of data repositories and services for archaeologists in Europe, and the issues that make interoperability between them difficult to realize. The results of the ARIADNE surveys on users’ expectations and requirements are also presented. The main section of the article describes the architecture of the e-infrastructure, core services (data registration, discovery, and access), and various other extant or experimental services. The ongoing evaluation of the data integration and services is also discussed. Finally, the article summarizes lessons learned and outlines the prospects for the wider engagement of the archaeological research community in the sharing of data through ARIADNE.

A one-class approach to cardiotocogram assessment.

Cardiotocogram (CTG) is the most widely used means for the assessment of fetal condition. CTG consists of two traces one depicting the Fetal Heart Rate (FHR), and the other the Uterine Contractions (UC) activity. Many automatic methods have been proposed for the interpretation of the CTG. Most of them rely either on a binary classification approach or on a multiclass approach to come up with a decision about the class that the tracing belongs to. This work investigates the use of a one-class approach to the assessment of CTGs building a model only for the healthy data. The preliminary results are promising indicating that normal traces could be used as part of an automatic system that can detect deviations from normality.

Building Interactive Books Using EPUB and HTML5

The recent developments in the digital publishing domain have promoted the use of open formats for digital publishing. This paper presents a study that has been carried out using the EPUB 2.0 format along with HTML5 and JavaScript technologies showing how a digital book can embed HTML5 applications that interact with the user and report back to a publishing server (reader/student analytics).

Describing Research Data: A Case Study for Archaeology

The growth of the digital resources produced by the research activities demand the development of e-Infrastructures in which researchers can access remote facilities, select and re-use huge volumes of data and services, run complex experimental processes and share results. Data registries aim to describe uniformly the data of e-Infrastructures contributing to the re-usability and interoperability of big scientific data. However the current situation requires the development of powerful resource integration mechanisms that step beyond the principles guaranteed by the data registries standards. This paper proposes a conceptual model for describing data resources and services and extends the existing specifications for the development of data registries. The model has been implemented in the context of the ARIADNE project, a EU funded project that focuses on the integration of Archaeological digital resources all over the Europe.

Distribution of Cultural Content through Exploitation of Cryptographic Algorithms and Hardware Identification

An influential effect of IT to museums and other Cultural Content owners organizations is the digitization of collections and in general their content. In this paper, a framework for distribution and commercialization of cultural content is proposed extending an earlier work of the authors. In this work, the framework has been upgraded to include features that protect the cultural content purchased online, to be freely distributed among users through p2p networks or file transfer or copy/paste, etc. The framework utilizes cryptographic algorithms, hash functions, block ciphers and computer’s static and unique parameters/properties. The first are used for continuous hashing and digest matching of the database’s contents for quality assurance. The block ciphers are used to enable on-line selling, through encryption of digital objects. The computer’s static and unique parameters are used to ensure the customer identity and content-distribution legibility. The system’s architecture that implements the above framework is presented and explained. This work illustrates a novel approach that utilize cryptographic and security techniques for secure distribution of Cultural Content.