Search results for "ANKI"

showing 10 items of 816 documents

Bankas klientu priekšrocības tarifu piešķiršanas un aprēķināšanas sistēma

2016

Šajā dokumentā ir aprakstīta sistēma, kas bija izstrādāta vienai no Latvijas bankām, lai optimizētu atlaižu tarifu piešķiršanas un komisijas aprēķināšanas procesus. Dokumentā ir iekļauta sistēmas tehniskā dokumentācija, kas ietver prasību specifikāciju, projektējumu, testēšanas dokumentāciju, pirmkoda piemērus, kā arī informāciju par projekta organizāciju. Sistēma izstrādāta OpenEdge 10.2 vidē.

OpenEdgebanking systemspriekšrocības tarifiDatorzinātnebanku sistēmaspreferential rates
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An Analytic Hierachy Process for Ranking Operating Costs of Low Cost and Full Service Airlines

2009

This paper develops an application of the analytic hierarchy process to rank the operating cost components of full service and low cost airlines. It takes into account the financial balance sheets and answers to a questionnaire submitted to the managers of selected airlines. The results suggest that the analytic hierarchy process can be appropriately used to obtain the ranking of the costs taking into account different views: financial, management and operative. Rental, office equipment and other supplies costs show the highest importance in the cost ranking, both for full services and low cost airlines. The robustness of the results is tested by Monte Carlo analysis.

Operating costOperations researchComputer sciencebusiness.industryStrategy and ManagementRank (computer programming)Monte Carlo SimulationAnalytic hierarchy processTransportationManagement Monitoring Policy and LawFull service and low cost airlines; Analytic hierarchy process; Operating costs; Monte Carlo SimulationMicroeconomicsRentingRankingLow-cost carrierFull service and low cost airlineAnalytic hierarchy proceBalance sheetRobustness (economics)businessLawOperating cost
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On the importance of perspective and flexibility for efficiency measurement: effects on the ranking of decision-making units

2017

[EN] The efficiency of a firm can be assessed from several perspectives and using a variety of methodologies. Data envelopment analysis (DEA) is one of the most commonly used methodologies. Conventional DEA analyses or models allow one to classify decision-making units (DMUs) into efficient and inefficient ones based on their efficiency scores, which could also be used for ranking DMUs; however, such rankings generally show many ties. Super-efficiency DEA analyses have been proposed to address the tie issue. On the other hand, conventional DEA analyses only take account of a single perspective in estimating efficiency scores. Cross-efficiency DEA analyses provide an alternative that takes a…

Operations researchStrategy and Management0211 other engineering and technologies02 engineering and technologyManagement Science and Operations Researchcomputer.software_genreFuzzy logicManagement Information SystemsDEAOrder (exchange)Robustness (computer science)0202 electrical engineering electronic engineering information engineeringEconomicsData envelopment analysisTOPSISMarketingFlexibility (engineering)021103 operations researchTOPSISVariety (cybernetics)Fuzzy logicRanking methodsRankingCross-efficiency020201 artificial intelligence & image processingData miningMATEMATICA APLICADAcomputerJournal of the Operational Research Society
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Banki-Michell Optimal Design by Computational Fluid Dynamics Testing and Hydrodynamic Analysis

2013

In hydropower, the exploitation of small power sources requires the use of small turbines that combine efficiency and economy. Banki-Michell turbines represent a possible choice for their simplicity and for their good efficiency under variable load conditions. Several experimental and numerical tests have already been designed for examining the best geometry and optimal design of cross-flow type machines, but a theoretical framework for a sequential design of the turbine parameters, taking full advantage of recently expanded computational capabilities, is still missing. To this aim, after a review of the available criteria for Banki-Michell parameter design, a novel two-step procedure is de…

Optimal designEngineeringhydraulic turbineControl and OptimizationNozzleEnergy Engineering and Power TechnologyMechanical engineeringComputational fluid dynamicsTurbinelcsh:Technologyjel:Q40Impellercross-flow turbinejel:Qjel:Q43jel:Q42jel:Q41jel:Q48jel:Q47hydraulic turbine; Banki-Michell; cross-flow turbine; CFD analysisElectrical and Electronic EngineeringEngineering (miscellaneous)jel:Q49Renewable Energy Sustainability and the Environmentbusiness.industrylcsh:Tjel:Q0jel:Q4Power (physics)Sequential analysisBanki-MichellCross-flow turbinebusinessCFD analysisEnergy (miscellaneous)Energies; Volume 6; Issue 5; Pages: 2362-2385
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Impeller optimization in crossflow hydraulic turbines

2021

Crossflow turbines represent a valuable choice for energy recovery in aqueducts, due to their constructive simplicity and good efficiency under variable head jump conditions. Several experimental and numerical studies concerning the optimal design of crossflow hydraulic turbines have already been proposed, but all of them assume that structural safety is fully compatible with the sought after geometry. We show first, with reference to a specific study case, that the geometry of the most efficient impeller would lead shortly, using blades with a traditional circular profile made with standard material, to their mechanical failure. A methodology for fully coupled fluid dynamic and mechanical …

Optimal designenergy harvestinglcsh:Hydraulic engineeringComputer science020209 energyenergy recoveryGeography Planning and Development0207 environmental engineeringMechanical engineering02 engineering and technologyAquatic ScienceComputational fluid dynamicsCurvatureBiochemistryTurbineSettore ICAR/01 - IdraulicaImpellerlcsh:Water supply for domestic and industrial purposeslcsh:TC1-978pressure control0202 electrical engineering electronic engineering information engineeringMicro-hydropower020701 environmental engineeringWater Science and Technologybanki turbinelcsh:TD201-500Water transportPressure controlbusiness.industryFinite element methodwater distribution networkbusiness
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Comparing Boosting and Bagging for Decision Trees of Rankings

2021

AbstractDecision tree learning is among the most popular and most traditional families of machine learning algorithms. While these techniques excel in being quite intuitive and interpretable, they also suffer from instability: small perturbations in the training data may result in big changes in the predictions. The so-called ensemble methods combine the output of multiple trees, which makes the decision more reliable and stable. They have been primarily applied to numeric prediction problems and to classification tasks. In the last years, some attempts to extend the ensemble methods to ordinal data can be found in the literature, but no concrete methodology has been provided for preference…

Ordinal dataBoosting (machine learning)Preference learningEnsemble methodsComputer sciencebusiness.industryDecision tree learningDecision treesDecision treeLibrary and Information SciencesMachine learningcomputer.software_genreEnsemble learningBoostingMathematics (miscellaneous)RankingPattern recognition (psychology)Psychology (miscellaneous)Artificial intelligencePreference learningStatistics Probability and UncertaintybusinesscomputerRankings
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Multicriteria Decision Analysis for Choosing the Remediation Method for a Landfill Based on Mixed Ordinal and Cardinal Information

2009

We describe a real-life application of a multicriteria method in the context of remediating a landfill in Finland. The landfill was used for dumping industrial waste during the years 1950 to 1965. During that time many harmful chemicals were stored in landfills among other waste. Therefore, this—and possibly several other—landfills have to be remediated. In this application, seven different remediation options were evaluated based on 13 criteria. For some criteria, cardinal measures with associated uncertainties were obtained. For other criteria, only ordinal (ranking) information was available. The problem was analyzed using the Stochastic Multicriteria Acceptability Analysis with Ordinal …

Ordinal dataMulticriteria decisionStochastic multicriteria acceptability analysisRankingOperations researchJoint probability distributionRank (computer programming)Context (language use)MathematicsVariety (cybernetics)
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Coupling salinity gradient heat engines with power generation systems and industrial processes

2022

Abstract This chapter presents some potential applications of salinity gradient power-heat engines (SGP-HEs) in power generation systems and industrial processes, where low-temperature waste heat flows could be available. In order to show this concept, five case studies are proposed. In the first case study, a thermoelectric power plant is considered. The analysis evaluates the possibility to convert the low-grade heat content of flue gases into additional electricity via SGP-HEs. In the second case study, an SGP-HE is coupled with an organic Rankine cycle (ORC) plant to enhance the amount of electricity produced from a medium-temperature waste heat flow released by an industrial process. I…

Organic Rankine cycleCogenerationFlue gasElectricity generationWaste managementbusiness.industryWaste heatEnvironmental scienceElectricitybusinessIndustrial wasteHeat engine
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Technical and economical feasibility of biomass use for power generation in Sicily

2012

Biomass can provide a reliable support for production ofbiofuels while contributing to sustainable management of natural resources. Many countries, including Italy, have introduced important incentive schemes to support the use of biomass for electricity, heat and transportation. This has raised considerable interest towards the use of biomass for energy generation purposes. Nonetheless, the design and installation ofbiomass-fuelled power plants present several critical issues, such as choice and availability of biomass, choice of technology, power plant localization and logistics. The case study tackled in this paper evaluates the economies originated by a 1MW el Organic Rankine Cycle (ORC…

Organic Rankine cycleEngineeringPower stationbusiness.industryEnvironmental engineeringEnvironmental economicsNatural resourceElectricity generationSustainable managementBiofuelBioenergyBiomass GIS ORCSettore ING-IND/10 - Fisica Tecnica IndustrialeElectricitybusinessInformation Systems
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Exergetic and exergoeconomic analysis of a novel hybrid solar-geothermal polygeneration system producing energy and water

2016

Abstract A dynamic simulation model of a novel solar–geothermal polygeneration system and the related exergetic and exergoeconomic analyses are presented in this paper. The plant is designed in order to supply electrical, thermal and cooling energy and fresh water for a small community, connected to a district heating and cooling network. The hybrid system is equipped with an Organic Rankine Cycle fueled by medium-enthalpy geothermal energy and by a Parabolic Trough Collector solar field. Geothermal brine is also used for space heating and cooling purposes. Finally, geothermal fluid supplies heat to a Multi-Effect Distillation unit, producing also desalinized water from seawater. Dynamic si…

Organic Rankine cycleEngineeringWaste managementRenewable Energy Sustainability and the Environmentbusiness.industry020209 energyGeothermal energySolarGeothermal ORC MED Exergy Exergoeconomic analysisEnergy Engineering and Power Technology02 engineering and technologyTRNSYSFuel Technology020401 chemical engineeringNuclear Energy and EngineeringChilled waterSolar Geothermal ORC MED Exergy Exergoeconomic analysis0202 electrical engineering electronic engineering information engineeringWater coolingExergy efficiencyParabolic troughSettore ING-IND/10 - Fisica Tecnica Industriale0204 chemical engineeringProcess engineeringbusinessGeothermal gradient
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