Adina Riposan

Technical Military Academy of Bucharest, Bucureşti, Bucureşti, Romania

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Publications (10)0 Total impact

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    ABSTRACT: In this paper we discuss a flexible distributed workflow-based approach that enables researchers to study biomedical data for creating decision support pipelines. Specifically we describe the TRIACS platform, which has first been applied to supporting evidence-based decisions for optimum diabetic retinopathy screening intervals In the prioritization mechanism, pseudonymised case data is stratified for screening need by computation of outcome risk or by clustering of dasiaat-riskpsila cases with past cases of actual preventable outcomes. Workflows present a novel approach to this problem by providing an appropriate level of granularity for breaking the domain problem into a collection of reusable service-oriented components that can be applied in different ways. TRIACS is intended to make the creation of new application logic quicker and easier than bespoke development methods. Through the TRIACS workflow interface, modular code is portable and available to solve analogous domain problems including application to trial studies for mining and analysing clinical data.
    Computer-Based Medical Systems, 2009. CBMS 2009. 22nd IEEE International Symposium on; 09/2009
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    Adina Riposan, Victor Valeriu Patriciu
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    ABSTRACT: In this paper we present the OMU Workflow platform and underlaying toolkit we developed based on the Triana Workflows environment, for implementing the Workflow Management of Paramedical Emergency Operations scenario within an intelligent context-aware mobile distributed Peer-to-Grid (P2G) infrastructure. The underlying OMU toolkit is a stand-alone system and the core components are independent of any workflow environment. We discuss the novel hybrid P2G architectural model we designed consolidating Peer-to-Peer and Grid computing research, providing new solutions to a dynamic distributed data-driven scenario that could radically increase the volume and timeliness of available information for decision support during the rescue operations. We also discuss the application of our workflow platform to other domain problems in our future work and the next steps in the path of testing and validation.
    Proceedings of the 4th Workshop on Workflows in Support of Large-Scale Science, WORKS 2009, November 16, 2009, Portland, Oregon, USA; 01/2009
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    ABSTRACT: In this paper we present mechanisms for imaging and spectral data discovery, as applied to the early detection of pathologic mechanisms underlying diabetic retinopathy in research and clinical trial scenarios. We discuss the Alchemist framework, built using a generic peer-to-peer architecture, supporting distributed database queries and complex search algorithms based on workflow. The Alchemist is a domain-independent search mechanism that can be applied to search and data discovery scenarios in many areas. We illustrate Alchemist's ability to perform complex searches composed as a collection of peer-to-peer overlays, Grid-based services and workflows, e.g. applied to image and spectral data discovery, as applied to the early detection and prevention of retinal disease and investigational drug discovery. The Alchemist framework is built on top of decentralised technologies and uses industry standards such as Web services and SOAP for messaging.
    Studies in health technology and informatics 02/2007; 126:279-88.
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    ABSTRACT: In this paper we describe a distributed architecture that could be used to link emergency medical centres, hospitals, telephone operators, and ambulances into a hybrid Peer-to-Peer (P2P) and Grid system for the sharing of information and transport of data. Distributed computing techniques can be used to connect static and mobile systems, bringing the different tools, expertise and databases together to aggregate patient data "on-the-fly" and then integrate it into a situation and context-specific patient-centred virtual environment. The scenario presented in this paper encapsulates connecting mobile tools and medical devices from ambulances, enabling data transfer to medical centres, and aggregating patient data from numerous sources. The proposed P2G (Peer-to-Grid) framework consolidates Peer-to-Peer and Grid computing research by addressing the mobility of transiently connected devices while supporting interactive configurability of components for dynamic data-driven distributed paramedical scenarios.
    Studies in health technology and informatics 02/2006; 120:283-94.
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    Adina Riposan, Ian Taylor
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    ABSTRACT: MGFM is a project to research and develop an open-source fleet-management system for the monitoring and guidance of vehicles based on mobile Grid technology. MGFM adopts open standards, ensuring interoperability with proprietary systems to provide adaptable software applications to support spontaneous composition, sharing, distribution, adaptation and evolution of fleet-management systems. Context aware-ness and adaptability will reinforce competitiveness in the area and autonomous operations will be ensured by the de-ployment of mobile agent and Peer-to-Peer technology. MGFM will be designed so that the mobile Grid nodes (the vehicles) can monitor their environment, record changes and react intelligently in a dynamically changing environment. We believe that Grid technologies combined with Mobile, Mobile Agent and Peer-to-Peer technologies can provide an efficient solution to these requirements.
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    Adina Riposan, Eugen Bargauanu, Iosif Biro
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    ABSTRACT: DMILS (Direct Mental Interaction with Living Systems) experiments usually attempt to find out if one person can influence the physiology of another distant individual through mental intention. The early EDA-DMILS studies (involving physiological measurements of electrodermal activity on the target living system) (3), (4), showed a relatively robust effect (3), therefore the authors of the studies considered further if remote influence could extend beyond physiological effects, and apply also to higher level cognitive and behavioural processes (2). In this paper, we discuss the possibility to study the effects of DMILS at cognitive and emotional level, based on the perceptions reported by a target individual, potentially in combination with physiological measurements for increasing the objectivity of the results. We also propose a different view on the concept of DMILS, an attempted classification of DMILS based on the existence or non-existence of "intention" in the DMILS process, and we discuss a series of factors that could facilitate and increase the perceived influence of DMILS if associated with either the target living system or with the person producing the DMILS (potential facilitators of the extrasensorial perception of DMILS, or the occurrence of DMILS itself). We finally propose an experiment in the Annex of the paper, as a live demonstration of cognitive DMILS 1 . For increasing the effectiveness of the experiment, we involve a person with native high perceptive capacities in the role of the target individual. Also, for providing the means to verify the results of the experiment, we include the factor "intention" in the DMILS process, however the "intention" factor here is only meant to ensure the means to verify the effectiveness of the DMILS with the audience itself, in a transparent way, otherwise being possible to obtain the same results (the perceptions reported by the target individual) even without the audience being taught to have such mental intention, or without the audience being aware of the influence produced. We propose some advanced computer-based experimentation facilities that could further increase the accuracy and the objectivity of the DMILS experimentation results.
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    Adina Riposan, Ian Taylor, Yannick Legre
    MIE 2006;
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    ABSTRACT: In this paper we apply an alternative search mechanism to biomedical audio/visual and spectral data discovery using distributed peer-to-peer techniques. We describe the underlying architecture, distributed database, along with the complex search algorithms based on multimodal workflows, aggregating index and content information. We exemplify the utilization of such a distributed infrastructure in diabetic retinopathy research and clinical trials, for the early detection and prevention of retinal disease and investigational drug discovery. The peer-to-peer toolkit itself provides a platform that enables users to build search algorithms by combining components into workflows that are executed across the peers on the network using industry standards such as Web services and SOAP. An aspect of this framework is that it contains a mobile implementation capable of allowing the control and monitoring of searches from mobile devices, as well as remote workflow management by the remote control of the enactment engine from a mobile user interface.
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    6th IEEE Communications International Conference;