982 resultados para case system


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Mode of access: Internet.

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Iker bilduma = Colección Iker, nº 17

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R. Etxepare, R. Gómez & J. A. Lakarra (arg.), Beñat Oihartzabali Gorazarre - Festschrift for Bernard Oyharçabal. Donostia-San Sebastián: Gipuzkoako Foru Aldundia & UPV/EHU.

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Published in 2008.

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In this work, the development of a probabilistic approach to robust control is motivated by structural control applications in civil engineering. Often in civil structural applications, a system's performance is specified in terms of its reliability. In addition, the model and input uncertainty for the system may be described most appropriately using probabilistic or "soft" bounds on the model and input sets. The probabilistic robust control methodology contrasts with existing H∞/μ robust control methodologies that do not use probability information for the model and input uncertainty sets, yielding only the guaranteed (i.e., "worst-case") system performance, and no information about the system's probable performance which would be of interest to civil engineers.

The design objective for the probabilistic robust controller is to maximize the reliability of the uncertain structure/controller system for a probabilistically-described uncertain excitation. The robust performance is computed for a set of possible models by weighting the conditional performance probability for a particular model by the probability of that model, then integrating over the set of possible models. This integration is accomplished efficiently using an asymptotic approximation. The probable performance can be optimized numerically over the class of allowable controllers to find the optimal controller. Also, if structural response data becomes available from a controlled structure, its probable performance can easily be updated using Bayes's Theorem to update the probability distribution over the set of possible models. An updated optimal controller can then be produced, if desired, by following the original procedure. Thus, the probabilistic framework integrates system identification and robust control in a natural manner.

The probabilistic robust control methodology is applied to two systems in this thesis. The first is a high-fidelity computer model of a benchmark structural control laboratory experiment. For this application, uncertainty in the input model only is considered. The probabilistic control design minimizes the failure probability of the benchmark system while remaining robust with respect to the input model uncertainty. The performance of an optimal low-order controller compares favorably with higher-order controllers for the same benchmark system which are based on other approaches. The second application is to the Caltech Flexible Structure, which is a light-weight aluminum truss structure actuated by three voice coil actuators. A controller is designed to minimize the failure probability for a nominal model of this system. Furthermore, the method for updating the model-based performance calculation given new response data from the system is illustrated.

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This article describes the approach, which allows to develop information systems without taking into consideration details of physical storage of the relational model and type database management system. Described in terms of graph model, this approach allows to construct several algorithms, for example, for verification application domain. This theory was introduced into operation testing as a part of CASE-system METAS.

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This paper presents an approach to development of intelligent search system and automatic document classification and cataloging tools for CASE-system based on metadata. The described method uses advantages of ontology approach and traditional approach based on keywords. The method has powerful intelligent means and it can be integrated with existing document search systems.

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The ability of automatic graphic user interface construction is described. It is based on the building of user interface as reflection of the data domain logical definition. The submitted approach to development of the information system user interface enables dynamic adaptation of the system during their operation. This approach is used for creation of information systems based on CASE-system METAS.

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The PolySMART demonstration system SP1b has been modeled in TRNSYS and calibrated against monitored data. The system is an example of distributed cooling with centralized CHP, where the driving heat is delivered via the district heating network. The system pre-cools the cooling water for the head office of Borlänge municipality, for which the main cooling is supplied by a 200 kW compression chiller. The SP1b system thus provides pre-cooling. It consists of ClimateWell TDC with nominal capacity of 10 kW together with a dry cooler for recooling and heat exchangers in the cooling and driving circuits. The cooling system is only operated from 06:00 to 17:00 during working days, and the cooling season is generally from mid May to mid September. The nominal operating conditions of the main chiller are 12/15°C. The main aims of this simulation study were to: reduce the electricity consumption, and if possible to improve the thermal COP and capacity at the same time; and to study how the system would perform with different boundary conditions such as climate and load. The calibration of the system model was made in three stages: estimation of parameters based on manufacturer data and dimensions of the system; calibration of each circuit (pipes and heat exchangers) separately using steady state point; and finally calibration of the complete model in terms of thermal and electrical energy as well as running times, for a five day time series of data with one minute average data values. All the performance figures were with 3% of the measured values apart from the running time for the driving circuit that was 4% different. However, the performance figures for this base case system for the complete cooling season of mid-May to midSeptember were significantly better than those for the monitoring data. This was attributed to long periods when the monitored system was not in operation and due to a control parameter that hindered cold delivery at certain times. 

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Essiivi on suomen kielen sijamuoto, jota käytetään nykykielessä erilaisten olotilojen ilmaisemiseen (Hän on opettajana ~ sairaana). Se on taustaltaan lokatiivi, jonka paikanilmaisutehtävä näkyy edelleen erilaisissa kiteytymissä (kotona, luona). Essiivi kuuluu myös ajankohdanilmaisujärjestelmään (lauantaina, ensi vuotena). Tässä tutkimuksessa kuvaan essiivisijan käyttöä erityisesti olotilan ilmaisemisen näkökulmasta. Kiinnitän huomiota sijan merkitykseen ja pyrin tarkentamaan sen lauseopillista kuvausta hyödyntämällä yleislingvistis-kielitypologisia olotilanilmausten kategoriointitapoja. Tutkimukseni aineisto on kolmijakoinen. Pääaineistonani on Lauseopin arkisto, jota koskevan haun tuloksena olen saanut 9096 essiivisijaisen sanan sisältävää lauseketta virkekonteksteineen. Täydennän tätä aineistoa käytöstä poimituilla esimerkeillä ja intuitioon pohjautuvilla ns. selvillä tapauksilla. Tutkimusmenetelmänä on pääosin aineiston kvalitatiivinen tarkastelu, mutta tarkastelen essiiviä myös teoreettisemmin sääntöjärjestelmän näkökulmasta. Tärkeimpänä lähtökohtanani on tuottaa tutkimustietoa, joka kykenee käymään vuoropuhelua kielitypologisen tutkimuksen kanssa siten, että tutkimus kuitenkin tapahtuu yksittäiskielen ehdoilla. Erityisesti semantiikan kuvauksessa tarkastelutapani on kognitiivisen kielitieteen mukaisesti orientoitunut. Essiivin tehtävänä on pelkistetyssä nominaalilauseessa ilmaista olotilan tilapäisyyttä ja muutoksellisuutta, kun taas merkitystä kantavan verbin yhteydessä essiivisijainen olotilan ilmaus saa usein muita merkityksiä ja voi ilmaista myös vaihtoehtoisen tai tilanteen syynä olevan olotilan. Aspektinäkökulmasta essiivi tuo tilaan toimin¬nallisia piirteitä, ja se myös muodostaa selvästi omanlaisensa reviirin suhteessa muihin olotilaa ja sen lähimerkityksiä ilmaiseviin kieli- ja johto-opin kategorioihin. Syntaktisen luokittelun näkökulmasta essiivisijaiset predikoivat olotilanilmaukset jakautuvat kolmeen pääryhmään sen perusteella, millainen niiden suhde lauseen predikaattiin on. Ne voivat toimia kopulalauseen nominaalipredikaatteina, merkitystä kantavien verbien täydennyksinä ja sekundaarisina predikaatteina, jotka ovat määritteitä. Lisäksi essiivisijaiset olotilan ilmaukset voivat toimia predikoimattomina lauseadverbiaaleina. Tutkimus on essiivisijan laaja aineistopohjainen kuvaus, joka osoittaa, että yleislingvistis-kielitypologinen lähestymistapa sopii suomen essiivin kuvaukseen. Alakategorioinnissa joudutaan kuitenkin turvautumaan semantiikkaan. Myös pääkategorioiden jatkumomaisuus on hyväksyttävä. Tulosten perusteella on mahdollista käydä keskustelua siitä, olisiko predikoivien lauseenjäsenten syntaktista luokittelua mahdollista uudistaa. Lisäksi tutkimus avaa uusia kysymyksiä tutkittavaksi erityisesti sijojen käyttöä vertailevasta näkökulmasta.

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Conventional planning and decision making, with its sectoral and territorial emphasis and flat-map based processes are no longer adequate or appropriate for the increased complexity confronting airport/city interfaces. These crowed and often contested governance spaces demand a more iterative and relational planning and decision-making approach. Emergent GIS based planning and decision-making tools provide a mechanism which integrate and visually display an array of complex data, frameworks and scenarios/expectations, often in ‘real time’ computations. In so doing, these mechanisms provide a common ground for decision making and facilitate a more ‘joined-up’ approach to airport/city planning. This paper analyses the contribution of the Airport Metropolis Planning Support System (PSS) to sub-regional planning in the Brisbane Airport case environment.