997 resultados para Maintenance Tools


Relevância:

70.00% 70.00%

Publicador:

Resumo:

Winter maintenance, particularly snow removal and the stress of snow removal materials on public structures, is an enormous budgetary burden on municipalities and nongovernmental maintenance organizations in cold climates. Lately, geospatial technologies such as remote sensing, geographic information systems (GIS), and decision support tools are roviding a valuable tool for planning snow removal operations. A few researchers recently used geospatial technologies to develop winter maintenance tools. However, most of these winter maintenance tools, while having the potential to address some of these information needs, are not typically placed in the hands of planners and other interested stakeholders. Most tools are not constructed with a nontechnical user in mind and lack an easyto-use, easily understood interface. A major goal of this project was to implement a web-based Winter Maintenance Decision Support System (WMDSS) that enhances the capacity of stakeholders (city/county planners, resource managers, transportation personnel, citizens, and policy makers) to evaluate different procedures for managing snow removal assets optimally. This was accomplished by integrating geospatial analytical techniques (GIS and remote sensing), the existing snow removal asset management system, and webbased spatial decision support systems. The web-based system was implemented using the ESRI ArcIMS ActiveX Connector and related web technologies, such as Active Server Pages, JavaScript, HTML, and XML. The expert knowledge on snow removal procedures is gathered and integrated into the system in the form of encoded business rules using Visual Rule Studio. The system developed not only manages the resources but also provides expert advice to assist complex decision making, such as routing, optimal resource allocation, and monitoring live weather information. This system was developed in collaboration with Black Hawk County, IA, the city of Columbia, MO, and the Iowa Department of transportation. This product was also demonstrated for these agencies to improve the usability and applicability of the system.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Relatório de estágio de mestrado em Ensino de Música

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Cada cop són més els usuaris que es troben amb la necessitat de posar els seus serveis i/o productes a Internet. Un cop que els usuaris prenen aquesta decisió, és habitual que es trobin amb eines poc intuïtives i complexes que dificulten la tasca de manteniment de la informació que es vol mostrar al portal web. La finalitat d'aquest projecte és apropar les tasques de manteniment als usuaris per tal que puguin modificar els continguts publicats al seu portal web, independentment de la seves capacitats tecnològiques o sensorials.

Relevância:

60.00% 60.00%

Publicador:

Resumo:

Tämän tutkimuksen päätavoitteena oli löytää tehokkain ja järkevin tapa organisoida yrityksen kunnossapitoyksikön työkalutoiminnot. Tavoitteena oli saada aikaan uusi toimintamalli, jonka avulla saavutetaan toiminnallinen ja kustannustehokas työkalutoiminta. Tutkimus toteutettiin konstruktiivisella tutkimusotteella. Työn teoriaosuus koostuu pääasiassa teollisuuden kunnossapitoa käsittelevistä tutkimuksista, artikkeleista ja kirjoista. Teoriaosuudessa käsitellään myös kunnossapidon ulkoistamista sekä siihen liittyviä haasteita ja mahdollisuuksia. Teoriaosuudessa käsiteltiin lyhyesti myös varastonhallintaa. Empriaosuus on kerätty yrityksen toiminnanohjausjärjestelmien avulla sekä tutustuen työkalutoimintoihin ja sen erityispiirteisiin. Tutkimuksen alussa selvitettiin nykyisen toiminnan erityispiirteet, ongelmat ja kehittämiskohteet. Näille ongelmille ja kehittämiskohteille etsittiin järkevät ratkaisut ja kehitettiin toimintasuunnitelma, jonka avulla yritys pääsee tavoiteltuun tehokkaaseen toimintamalliin.

Relevância:

40.00% 40.00%

Publicador:

Resumo:

Dynamic and distributed environments are hard to model since they suffer from unexpected changes, incomplete knowledge, and conflicting perspectives and, thus, call for appropriate knowledge representation and reasoning (KRR) systems. Such KRR systems must handle sets of dynamic beliefs, be sensitive to communicated and perceived changes in the environment and, consequently, may have to drop current beliefs in face of new findings or disregard any new data that conflicts with stronger convictions held by the system. Not only do they need to represent and reason with beliefs, but also they must perform belief revision to maintain the overall consistency of the knowledge base. One way of developing such systems is to use reason maintenance systems (RMS). In this paper we provide an overview of the most representative types of RMS, which are also known as truth maintenance systems (TMS), which are computational instances of the foundations-based theory of belief revision. An RMS module works together with a problem solver. The latter feeds the RMS with assumptions (core beliefs) and conclusions (derived beliefs), which are accompanied by their respective foundations. The role of the RMS module is to store the beliefs, associate with each belief (core or derived belief) the corresponding set of supporting foundations and maintain the consistency of the overall reasoning by keeping, for each represented belief, the current supporting justifications. Two major approaches are used to reason maintenance: single-and multiple-context reasoning systems. Although in the single-context systems, each belief is associated to the beliefs that directly generated it—the justification-based TMS (JTMS) or the logic-based TMS (LTMS), in the multiple context counterparts, each belief is associated with the minimal set of assumptions from which it can be inferred—the assumption-based TMS (ATMS) or the multiple belief reasoner (MBR).