01663nam 2200445Ia 450 991070213430332120121001092338.0(CKB)5470000002424797(OCoLC)811554937(OCoLC)854998959(EXLCZ)99547000000242479720121001d2012 ua 0engurmn|||||||||txtrdacontentcrdamediacrrdacarrierBiometric specifications for Personal Identity Verification[electronic resource] /Patrick Grother, Wayne Salamon2nd draft.Gaithersburg, MD :U.S. Dept. of Commerce, National Institute of Standards and Technology,[2012]1 online resource (ix, 48 pages) illustrationsNIST special publication ;800-76-2.Information securityTitle from PDF title screen (viewed Sept. 27, 2012)."June 25, 2012."Includes bibliographical references.Biometric identificationSpecificationsIdentification cardsSpecificationsSmart cardsSpecificationsBiometric identificationSpecifications.Identification cardsSpecifications.Smart cardsSpecifications.Grother Patrick J1385097Salamon Wayne1406757National Institute of Standards and Technology (U.S.)GPOGPOBOOK9910702134303321Biometric specifications for Personal Identity Verification3486436UNINA03920nam 2200961z- 450 991055765900332120220111(CKB)5400000000044916(oapen)https://directory.doabooks.org/handle/20.500.12854/76921(oapen)doab76921(EXLCZ)99540000000004491620202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierProbabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of BuildingsBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (220 p.)3-0365-2295-6 3-0365-2296-4 The Life cycle cost (LCC) method makes it possible for the whole life performance of buildings and other structures to be optimized. The introduction of the idea of thinking in terms of a building life cycle resulted in the need to use appropriate tools and techniques for assessing and analyzing costs throughout the life cycle of the building. Traditionally, estimates of LCC have been calculated based on historical analysis of data and have used deterministic models. The concepts of probability theory can also be applied to life cycle costing, treating the costs and timings as a stochastic process. If any subjectivity is introduced into the estimates, then the uncertainty cannot be handled using the probability theory alone. The theory of fuzzy sets is a valuable tool for handling such uncertainties. In this Special Issue, a collection of 11 contributions provide an updated overview of the approaches for estimating the life cycle cost of buildings.Technology: general issuesbicsscBayes conditional probabilitybidding decisionbuildingscause-effect relationshipsCBAclassificationcommercial and recreational complex building projectscomplex evaluationconstructionCOPRAS and INVAR methodscritical risk factorsdamagedefectsdrift ratiodynamic analysiseconomic evaluationEuropean Union Member Statesfuzzy setshistorical buildingsimplementation factorsinformation and communication technologyintensityinvestment projectLCC criterionlife cyclelife cycle costslifecyclesmaintenancemarketingMCDMmultiple criteria analysisoccurrencesoperation and maintenance phaseoptimizationprice criterionprobability distributionprobability of winningrailway infrastructurereliabilityresidential buildingsrisk assessmentrisk identificationsensitivity analysessocioeconomic impactstatistical methodsteel framessubstitutionsuccess and image of a countrysustainable construction industrytechnical weartenement housesTuned Mass DamperTechnology: general issuesPlebankiewicz Edytaedt1312124Plebankiewicz EdytaothBOOK9910557659003321Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings3030717UNINA