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  • CA3 - Computational Intelligence Research Group
    development thus providing improved support for maintenance and evolution of the software Research Areas Analysis and Specification Aspect Oriented Software Development Early Aspects Partners Fundação da Faculdade de Ciências e Tecnologia Deimos Engenharia EADS Test and Services Publications 2008 Sérgio Agostinho Ana Moreira Ricardo Ferreira Ricardo Raminhos André Marques João Araújo Jasna Kovacevic Rita Ribeiro Isabel Brito and Philippe Chevalley A Metadata Driven Approach for Aspect Oriented Requirements Analysis 10th

    Original URL path: http://www.ca3-uninova.org/project_assd (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    a data center Solar Astronomical Data Center of the OAUC under consideration and to integrate this data center in the Virtual Observatory project In 2006 a CCD camera was installed at the spectroheliograph of the OAUC in collaboration with Dr M Klvana and Dr V Bumba from the Astronomical Institute Czech Academy of Sciences Ondrejov Czech Republic The camera allowed simultaneous test observations by CCD camera and regular patrol observations to a planfilm and since March 2007 only directly digitized observations of the Sun are performed regularly In collaboration with Dr M Klvana and Dr V Bumba from the Astronomical Institute Czech Academy of Sciences Ondrejov Czech Republic it is foreseen to install in 2005 a CCD camera at the spectroheliograph of the OAUC to perform directly digitized observations of the Sun All this process would enable to make available daily images at the website of the OAUC Solar Datacenter of the OAUC under consideration Research Areas We put together a team of specialists from different areas of knowledge astronomy solar physics decision support systems and image recognition The assembled team includes researchers from UNINOVA and Coimbra Astronomical Observatory We believe that these different areas of expertise will create a synergy between the researchers involved towards achieving a useful tool that could be used worldwide The COSIS prototype to be developed integrates several computing key technologies Decision support oriented database Image feature recognition techniques Expected Results The overall expected result for this project is to create a datacenter in the Coimbra Astronomical observatory for storage and manipulation of solar data extracted from the rich heritage of existing images The expected results are To maximize the scientific return of the Coimbra heritage on solar data images To extend the scientific knowledge and experience with Image recognition processes at UNINOVA To improve

    Original URL path: http://www.ca3-uninova.org/project_cosis (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    Even though there are proposals for fuzzy monitoring and diagnostic expert systems e g ESOC ESA project Fuzzy Logic for Mission Control Purposes AO 1 3874 01 D HK for the ENVISAT satellite the important issue of how to perform rule aggregation and inferencing with synergetic operators i e those aggregation operators that take into account the dependencies synergies between overlapping rules parameters has never been addressed The main reason for this is the lack of communication between the fields of mathematical multicriteria decision making artificial intelligence and space engineering Recent developments in the theory of weighted aggregation operators and fuzzy multicriteria decision making have established Choquet integration as an interesting and powerful generalization of both the standard weighted averaging WA operators and the ordered weighted averaging OWA operators The essential novel feature of Choquet integrals is their capability of modelling and encoding the interaction patterns which correlate the various criteria making use of techniques borrowed from discrete mathematics cooperative game theory and weighted aggregation theory Our main goal in this project is to translate the Choquet integral methodology from interacting fuzzy multicriteria decision systems to interacting rule based expert systems for monitoring and diagnostic space problems In this way

    Original URL path: http://www.ca3-uninova.org/project_nomdis (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    predictions Although the majority of the tasks will be automatically performed to ensure its usability this architecture requires the presence of Domain expert capable of managing the represented knowledge on the Knowledge Based System Database administrator responsible for house keeping activities on the Data Warehouse and MOLAP databases Data mining expert capable of building and maintaining coherent prediction models Research Areas The SEIS prototype to be developed will be used by the INTEGRAL and ENVISAT mission flight control operators FCT teams and integrates several key technologies Data Warehousing decision support oriented database MOLAP Analysis data exploration and correlation analysis reporting Artificial Neural Networks general time series forecasting Knowledge Based System capture of domain experts knowledge While some of these technologies have already proven themselves on other domains of application such as Data Warehousing and MOLAP Analysis business domain the latter ANN and KBS represent two blocks to be prototyped under the scope of the project Partners Publications M Pantoquilho N Viana R Ferreira J M Pires A Donati A Baumgartner F D Marco L Peñin and T Hormigo SEIS A Decision Support System forOptimizing Spacecraft Operations Strategies presented at IEEE AerospaceConference Montana USA 2005 to appear Marta Pantoquilho Joaquim Neto Nuno Viana João Moura Pires Rita Ribeiro 2004 Online and Offline Monitoring and Diagnosis of Spacecraft and SpaceWeather Status EUROFUSE Workshop on Data and Knowledge Engineering Warszawa Poland September J Moura Pires M Pantoquilho and N Viana 2004 Space EnvironmentInformation System for Mission Control Purposes Real Time Monitoring andInference of Space Craft Status 2004 IEEE Multiconference onCCA ISIC CACSD Taipei Taiwan September J Moura Pires M Pantoquilho and N Viana 2004 Real Time DecisionSupport System for Space Missions Control IKE 04 The 2004 InternationalConference on Information and Knowledge Engineering Las Vegas USA June Ivan Dorotovic M Pantoquilho e N Viana 2004 Space EnvironmentInformation System for Mission Control Purposes a Decision Support Systembased on an architecture for space weather services poster IAUSymposium No 223 St Petersburg Russia June A Donati F Di Marco N Viana M Pantoquilho A Baumgartner and J Pires 2004 Space Weather and Mission Control A Roadmap to anOperational Multi Mission Decision Support System SpaceOps 2004 8thInternational Conference on Space Operations Montreal Canada May F Di Marco F Cordero M Schmidt and N Viana 2004 INTEGRAL TheIdentification isolation and recovery of the instruments anomaliesconditions poster The INTEGRAL Universe 5th Workshop Munich Germany February N Viana M Pantoquilho R Ribeiro J M Pires and L Peñin SpaceEnvironment and Information System SEIS for Mission Control Purposes Proceedings of Developing a European Space Weather Service Network 3 5November 2003 ESTEC Noordwijk The Netherlands References Space Environment Information System For Mission Control Purposes Statement of Work ESA Elman J L 1990 Finding Structure in Time Cognitive Science 14 179 211 Horne R B 2000 Space weather parameters required by the users Synthesis of user requirments WP1300 and WP1400 Alcatel Kimball R and M Ross 2002 The Data Warehouse Toolkit The Complete Guide To Dimensional Modeling Wiley Kimball R L Reeves et al

    Original URL path: http://www.ca3-uninova.org/project_seis (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    used to organize the knowledge elicitation sessions to organize the acquired knowledge and to model the knowledge CommonKADS provides a set of templates Concerning the results it has been possible to undercover the most important problems in ESOC G S operations such as space link maintenance and the integration performed by the operators in stress situations of different heterogeneous information sources e g S C telemetry G S and network status so allowing us to drive the remaining investigations In the scope of those problems interviews and literature has been consulted to understand the inferences performed by the operators during their activities A direct outcome of applying knowledge engineering as analysis tool has been the formalization of knowledge present in ESOC operations thus knowledge management is also provided as a service of the project which pushes the outcomes of this project far beyond its conclusion Knowledge Based System The Knowledge Based System to be developed in CESADS scope is based on the Multi Agent Knowledge Based Architecture that UNINOVA and GTD have been cooperatively developing Such architecture will Provide knowledge acquisition tools to enable experts to add manage and refine ontology and inference knowledge present in the system Integration of heterogeneous and distributed information Storage Analysis and Reporting features over historical data DW OLAP Data Mining environment Real Time monitoring and diagnosis of the interfaced systems integrating Symbolic Reasoning e g rule based CBR and Non Symbolic Methods e g predictions classification Domain oriented and adaptive HMIs The agent concept beneath this architecture provides flexibility adaptation robustness and maintenance easiness of the system since there is no single point of failure the system degrades progressively and allows several artificial experts reasoning about the same issue Figure 2 depicts the current scenario at ESOC left whereas all systems are heterogeneous making

    Original URL path: http://www.ca3-uninova.org/project_cesads_intelmod (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    EO domain EO Data Processing can be executed by accessing data from the archive and information can be generated using the domain knowledge captured in the EO KES Information Mining ideas can easily be fitted into this architecture Web clients EO KES expert or the EO KES communicate with the EO KES Server via a standard Web Server Web clients are selected to provide a simple scalable and straightforward way of connecting to EO KES EO KES is by definition as well as by implementation an aggregation of distributed self organized Knowledge Enabled services Figure 1 Architecture of the EO KES system EO applications include widely known potential emerging and operational services In this project we will take into account as existing and emerging EO applications at least those related to standard applications e g oil spill detection ship detection crop monitoring flooding detection terrain movement and subsidence detection etc and forthcoming applications such as those considered in the DUP EOMD and GMES programs as they become available The complexity of this project deserves a careful analysis about the approach during its analysis design and prototyping phases The first point of reference is domain Domain is obviously Earth Observation nevertheless a number of concretions focalizations are introduced The following figure 2 illustrates this progressive focalization and represents the origin of the scale factor which makes the project affordable Domain is a very relevant concept in this proposal since it defines the boundaries of the ontology the knowledge of the experts has to be formalized Figure 2 Progressive focalisation of the project s domain The project is oriented in accordance with the limits of the domain In the first view until latest SRR we consider a relevant contribution of EO domain experts directly supported by Knowledge Engineers It is our comprehension

    Original URL path: http://www.ca3-uninova.org/project_eo_kes (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    are defined as a set of crisp rules that either are satisfied or not The project was designed to determine status of ENVISAT gyroscopes using full telemetry data and qualitative expert knowledge gathered during previous missions Because Gyros rarely fail being critical anyway there is lack of historical data prohibiting predictive models application moreover there is no mathematical model to describe the gyroscope dynamics and the current decision fault detection is performed by humans All these characteristics lead to the selection of Fuzzy Logic Figure 1 illustrates the gyro typical frequency spectrum signature which contains the Hunting Frequency Phenomenon result of the physical characteristics of the gyro itself Experts provided knowledge enabling the definition of a set of fuzzy rules to assess the gyro state Below is an example of a rule Figure 1 Hunting frequency Figure 2 depicts the architecture supporting the application Periodically the gyroscope telemetry data is injected into to the system incoming from S C Performance Evaluation Tool SPEVAL which in turn is connected to the Mission Control System SCOS2000 The data has to be pre processed before being loaded into the database the ODS operational data store that will handle the data used by the application software As is possible to see in the figure there are two main users a the S C controller that uses the tool for operational verifications and b the System Engineer to analyse more deeply the gyros health Moreover such tool is useful during pre launch phase by providing the engineers with extra perception of the equipment Figure 2 Envisat Gyroscope Monitor Architecture Status Concluded and running in the control room where is being used by the Envisat s operators through the HMIs shown in Figure 3 Figure 3 Envisat Gyroscope Monitor HMI Case 3 Solar Array Performance Degradation This case is concerned with monitoring the XMM solar array degradation and prediction of future degradation Our goals are 1 identify as many sources that cause degradation to the array as possible 2 study each source effect independently 3 exploring in a broad sense the possibility of a black box predictive model for solar array performance degradation and 4 development of a Decision Support System DSS to provide easy access and exploration capabilities of the data and the S C component space weather etc Figure 4 depicts the developed architecture that is mainly composed of three main blocks Storage and AnalysisA Data Ware house supports all solar array telemetry data and space weather that incomes from SPEVAL LELA application that provides the radiation level and NOAA a space environment service provider site The data is organized taking in account the XMM orbital position data An OLAP server maintains the Multi Dimensional cubes that are prepared to enhance the queries performed by the user Data MiningThis part is responsible for keeping predictive modes up to date with the help of an expert and to apply such models to data and so predicting the solar array degradation HMIAn OLAP Front End provides

    Original URL path: http://www.ca3-uninova.org/project_fuzzy (2016-02-17)
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  • CA3 - Computational Intelligence Research Group
    presents our own perspective of the horizon thus describing one of the infinitude of potential paths with which we will be confident that challenging milestones can be reached and hence the Knowledge Technologies developed to the point of being in the position of contributing appropriately to the AURORA programme Figure 1 depict the several chapters that describe the report Chapter 1 Knowledge Technologies background introduces the target field Brief historical reference plus the rational for grouping techniques and technologies in the very particular way we are doing in this Past Future document Chapter 2 Knowledge focuses on the central element that aggregates the Knowledge Technologies which is obviously knowledge This chapter discuss concepts produces definitions and sets up the basis for later classifications since the nature of knowledge represents the dominating aspect in the majority of the topics being discussed The domain of this chapter is identified in light yellow in the figure above being knowledge acquisition the most relevant aspects to be covered Chapter 3 Knowledge Technologies Services is full of pragmatism Knowledge Technologies do not have sense if they do not have specific and characteristic capabilities yielding to specific benefit This chapter discuss cases where Knowledge Technology will have currently and in the future to contribute This chapter also prepares the transition between the conceptual framework and the effectively application oriented one this is done on the basis of the basic outcomes of the knowledge transformation Recognition and Generalization that lead the way to the knowledge technologies and supporting services on which the rest of the chapters are structured Chapter 4 AURORA also subtitled context for technology application which consists of a straight forward mapping of the Knowledge Technologies and Supporting Services into the AURORA program identifying some times just interpreting or imagining needs and direct benefits This

    Original URL path: http://www.ca3-uninova.org/project_aurora (2016-02-17)
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