1,199 research outputs found

    Standards-based sensor web for wide area monitoring of power systems

    Get PDF
    The balance of supply and demand of energy is the key factor in the stability of power systems. A small disturbance in the supply demand relationship, if not properly handled, can cascade into a major outage, costing millions of dollars to the stakeholders. Proper monitoring and exchange of critical information in real time is the only solution to prevent the instability in this vulnerable system. But, the disparity in the protocols used by power utilities and the lack of infrastructure for information exchange are proving to be hindrance to obtaining a reliable de-regularized power industry. In this thesis, an emerging Sensor Web Enablement (SWE) has been adapted for the wide area monitoring of power systems. SWE and CIM provide a solution to both problems; the heterogeneity of data and the lack of central repository of the data for proper action. The sensor data from utilities that are published in CIM were modeled thorough a SensorML and exposed via a Sensor Observation Service (SOS). This provides a standard method for discovering and accessing the sensor data between utilities and facilitates rapid response functionality to handle contingences

    Smart Sensor Webs For Environmental Monitoring Integrating Ogc Standards

    Get PDF
    Sensor webs are the most recent generation of data acquisition systems. The research presented looks at the concept of sensor webs from three perspectives: node, user, and data. These perspectives are different but are nicely complementary, and all extend an enhanced, usually wireless, sensor network. From the node perspective, sensor nodes collaborate in response to environmental phenomena in intelligent ways; this is referred to as the collaborative aspect. From the user perspective, a sensor web makes its sensor nodes and resources accessible via the WWW (World Wide Web); this is referred to as the accessible aspect. From the data perspective, sensor data is annotated with metadata to produce contextual information; this is referred to as the semantic aspect. A prototype that is a sensor web in all three senses has been developed. The prototype demonstrates theability of managing information in different knowledge domains. From the low-level weather data, information about higher-level weather concepts can be inferred and transferred to other knowledge domains, such as specific human activities. This produces an interesting viewpoint of situation awareness in the scope of traditional weather data

    Improving knowledge about the risks of inappropriate uses of geospatial data by introducing a collaborative approach in the design of geospatial databases

    Get PDF
    La disponibilitĂ© accrue de l’information gĂ©ospatiale est, de nos jours, une rĂ©alitĂ© que plusieurs organisations, et mĂȘme le grand public, tentent de rentabiliser; la possibilitĂ© de rĂ©utilisation des jeux de donnĂ©es est dĂ©sormais une alternative envisageable par les organisations compte tenu des Ă©conomies de coĂ»ts qui en rĂ©sulteraient. La qualitĂ© de donnĂ©es de ces jeux de donnĂ©es peut ĂȘtre variable et discutable selon le contexte d’utilisation. L’enjeu d’inadĂ©quation Ă  l’utilisation de ces donnĂ©es devient d’autant plus important lorsqu’il y a disparitĂ© entre les nombreuses expertises des utilisateurs finaux de la donnĂ©e gĂ©ospatiale. La gestion des risques d’usages inappropriĂ©s de l’information gĂ©ospatiale a fait l’objet de plusieurs recherches au cours des quinze derniĂšres annĂ©es. Dans ce contexte, plusieurs approches ont Ă©tĂ© proposĂ©es pour traiter ces risques : parmi ces approches, certaines sont prĂ©ventives et d’autres sont plutĂŽt palliatives et gĂšrent le risque aprĂšs l'occurrence de ses consĂ©quences; nĂ©anmoins, ces approches sont souvent basĂ©es sur des initiatives ad-hoc non systĂ©miques. Ainsi, pendant le processus de conception de la base de donnĂ©es gĂ©ospatiale, l’analyse de risque n’est pas toujours effectuĂ©e conformĂ©ment aux principes d’ingĂ©nierie des exigences (Requirements Engineering) ni aux orientations et recommandations des normes et standards ISO. Dans cette thĂšse, nous Ă©mettons l'hypothĂšse qu’il est possible de dĂ©finir une nouvelle approche prĂ©ventive pour l’identification et l’analyse des risques liĂ©s Ă  des usages inappropriĂ©s de la donnĂ©e gĂ©ospatiale. Nous pensons que l’expertise et la connaissance dĂ©tenues par les experts (i.e. experts en geoTI), ainsi que par les utilisateurs professionnels de la donnĂ©e gĂ©ospatiale dans le cadre institutionnel de leurs fonctions (i.e. experts du domaine d'application), constituent un Ă©lĂ©ment clĂ© dans l’évaluation des risques liĂ©s aux usages inadĂ©quats de ladite donnĂ©e, d’oĂč l’importance d’enrichir cette connaissance. Ainsi, nous passons en revue le processus de conception des bases de donnĂ©es gĂ©ospatiales et proposons une approche collaborative d’analyse des exigences axĂ©e sur l’utilisateur. Dans le cadre de cette approche, l’utilisateur expert et professionnel est impliquĂ© dans un processus collaboratif favorisant l’identification a priori des cas d’usages inappropriĂ©s. Ensuite, en passant en revue la recherche en analyse de risques, nous proposons une intĂ©gration systĂ©mique du processus d’analyse de risque au processus de la conception de bases de donnĂ©es gĂ©ospatiales et ce, via la technique Delphi. Finalement, toujours dans le cadre d’une approche collaborative, un rĂ©fĂ©rentiel ontologique de risque est proposĂ© pour enrichir les connaissances sur les risques et pour diffuser cette connaissance aux concepteurs et utilisateurs finaux. L’approche est implantĂ©e sous une plateforme web pour mettre en Ɠuvre les concepts et montrer sa faisabilitĂ©.Nowadays, the increased availability of geospatial information is a reality that many organizations, and even the general public, are trying to transform to a financial benefit. The reusability of datasets is now a viable alternative that may help organizations to achieve cost savings. The quality of these datasets may vary depending on the usage context. The issue of geospatial data misuse becomes even more important because of the disparity between the different expertises of the geospatial data end-users. Managing the risks of geospatial data misuse has been the subject of several studies over the past fifteen years. In this context, several approaches have been proposed to address these risks, namely preventive approaches and palliative approaches. However, these approaches are often based on ad-hoc initiatives. Thus, during the design process of the geospatial database, risk analysis is not always carried out in accordance neither with the principles/guidelines of requirements engineering nor with the recommendations of ISO standards. In this thesis, we suppose that it is possible to define a preventive approach for the identification and analysis of risks associated to inappropriate use of geospatial data. We believe that the expertise and knowledge held by experts and users of geospatial data are key elements for the assessment of risks of geospatial data misuse of this data. Hence, it becomes important to enrich that knowledge. Thus, we review the geospatial data design process and propose a collaborative and user-centric approach for requirements analysis. Under this approach, the user is involved in a collaborative process that helps provide an a priori identification of inappropriate use of the underlying data. Then, by reviewing research in the domain of risk analysis, we propose to systematically integrate risk analysis – using the Delphi technique – through the design of geospatial databases. Finally, still in the context of a collaborative approach, an ontological risk repository is proposed to enrich the knowledge about the risks of data misuse and to disseminate this knowledge to the design team, developers and end-users. The approach is then implemented using a web platform in order to demonstrate its feasibility and to get the concepts working within a concrete prototype

    Development of an interface for ontology‐based transformation between features of different types

    Get PDF
    Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial TechnologiesImplementation of the INSPIRE directive, the spatial data infrastructure for the Europe, has created a necessity for easy and convenient conversion between different models of geospatial data. Data model transformation across heterogeneous systems can be hampered by differences in terminology and conceptualization, particularly when multiple communities are involved. Requirement in current situation is an interface facilitating transformation of data to a desired format and immediate use of the data, which are collected from different formats and models. Ontology-aware software with shared understanding of concepts, enable users to interact with geospatial data models. Thus use of ontologies could make a friendly environment to the user in translating the data conveniently. Feature type ontologies, along with annotations are provided from an ongoing project at the Institute for Geoinformatics (IfGI, University of MĂŒnster, Germany), in order to reconcile differences in semantics. FME workbench provides a successful environment to execute set of rules for the data model transformation using a mapping file, which can be developed externally. The thesis work developed a user interface that includes operations to define rules for the translation of geospatial data, from one model to another. Annotated feature types are taken as input, and the results are encoded as FME Mapping files. The overall methodology involves three phases.(...

    The SSN ontology of the W3C semantic sensor network incubator group

    Get PDF
    The W3C Semantic Sensor Network Incubator group (the SSN-XG) produced an OWL 2 ontology to describe sensors and observations ? the SSN ontology, available at http://purl.oclc.org/NET/ssnx/ssn. The SSN ontology can describe sensors in terms of capabilities, measurement processes, observations and deployments. This article describes the SSN ontology. It further gives an example and describes the use of the ontology in recent research projects

    GI Systems for public health with an ontology based approach

    Get PDF
    Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Health is an indispensable attribute of human life. In modern age, utilizing technologies for health is one of the emergent concepts in several applied fields. Computer science, (geographic) information systems are some of the interdisciplinary fields which motivates this thesis. Inspiring idea of the study is originated from a rhetorical disease DbHd: Database Hugging Disorder, defined by Hans Rosling at World Bank Open Data speech in May 2010. The cure of this disease can be offered as linked open data, which contains ontologies for health science, diseases, genes, drugs, GEO species etc. LOD-Linked Open Data provides the systematic application of information by publishing and connecting structured data on the Web. In the context of this study we aimed to reduce boundaries between semantic web and geo web. For this reason a use case data is studied from Valencia CSISP- Research Center of Public Health in which the mortality rates for particular diseases are represented spatio-temporally. Use case data is divided into three conceptual domains (health, spatial, statistical), enhanced with semantic relations and descriptions by following Linked Data Principles. Finally in order to convey complex health-related information, we offer an infrastructure integrating geo web and semantic web. Based on the established outcome, user access methods are introduced and future researches/studies are outlined

    Semantic Support for Log Analysis of Safety-Critical Embedded Systems

    Full text link
    Testing is a relevant activity for the development life-cycle of Safety Critical Embedded systems. In particular, much effort is spent for analysis and classification of test logs from SCADA subsystems, especially when failures occur. The human expertise is needful to understand the reasons of failures, for tracing back the errors, as well as to understand which requirements are affected by errors and which ones will be affected by eventual changes in the system design. Semantic techniques and full text search are used to support human experts for the analysis and classification of test logs, in order to speedup and improve the diagnosis phase. Moreover, retrieval of tests and requirements, which can be related to the current failure, is supported in order to allow the discovery of available alternatives and solutions for a better and faster investigation of the problem.Comment: EDCC-2014, BIG4CIP-2014, Embedded systems, testing, semantic discovery, ontology, big dat
    • 

    corecore