LEADER 01430nam 2200409 n 450 001 996392079803316 005 20221108023756.0 035 $a(CKB)1000000000671702 035 $a(EEBO)2248520316 035 $a(UnM)99868022 035 $a(EXLCZ)991000000000671702 100 $a19940608d1651 uy | 101 0 $alat 135 $aurbn||||a|bb| 200 10$aArs mnemonica$b[electronic resource]$esive Herdsonus Bruxiatus; vel Bruxus Herdsoniatus 210 $aLondini $cTypis G. Dawson$d1651 215 $a[6], 92 p 300 $a"To the reader" signed: Henry Herdson. 300 $aIn Latin, followed by text in English which has a separate dated title page (pagination and register are continuous) that reads: Ars memoriæ: the art of memory made plaine. 300 $aThe separate dated title page has imprint: Printed by Gertrude Dawson in Aldersgate-street. 1651. 300 $aAnnotation on Thomason copy: "June 6". 300 $aReproduction of the original in the British Library. 330 $aeebo-0018 606 $aMemory$vEarly works to 1800 606 $aMnemonics$vEarly works to 1800 615 0$aMemory 615 0$aMnemonics 700 $aHerdson$b Henry$01001048 801 0$bCu-RivES 801 1$bCu-RivES 801 2$bUk-ES 801 2$bCStRLIN 801 2$bWaOLN 906 $aBOOK 912 $a996392079803316 996 $aArs mnemonica$92325819 997 $aUNISA LEADER 03954 am 2200757 n 450 001 9910580238603321 005 20210708 010 $a2-7351-2581-5 024 7 $a10.4000/books.editionsmsh.36428 035 $a(CKB)5860000000057207 035 $a(FrMaCLE)OB-editionsmsh-36428 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/91825 035 $a(PPN)26471282X 035 $a(EXLCZ)995860000000057207 100 $a20220705j|||||||| ||| 0 101 0 $afre 135 $auu||||||m|||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aLes mines d?argent du duché de Lorraine au XVIe siècle $eHistoire et archéologie du Val de Lièpvre (Haut-Rhin) /$fJacques Grandemange 210 $aParis $cÉditions de la Maison des sciences de l?homme$d2021 215 $a1 online resource (117 p.) 225 1 $aDocuments d?archéologie française 311 $a2-7351-0437-0 330 $aLa confrontation des données recueillies à partir de sources documentaires aussi différentes que des archives comptables et les vestiges archéologiques d?un système minier, constitue la clef de voûte de cet ouvrage consacré aux Documents d?Archéologie Française mines d?argent du duc de Lorraine dans le Val de Lièpvre entre 1512 et 1628 (Haut-Rhin). Cette démarche originale nous conduit, à travers le dédale d?un réseau complexe de galeries et de puits, vers la découverte non seulement d?une organisation spatiale rationnelle accompagnée de techniques de construction et d?exploitation spécifiques, mais également des conditions économiques et politiques ayant favorisé son développement. Alliant ainsi histoire et archéologie, cette recherche représente pour la connaissance des mines et de ses techniques, un document d?une grande richesse d?informations à l?usage aussi bien des spécialistes que des néophytes. The juxtaposition of data from sources as widely differing as account-books and the archaeological remains of a mining System is the keystone of this work devoted to the bistory of the Duke of Lorraine?s silver mines in the Lièpvre Valley (Haut-Rhin) between 1512 and 1628. This original approach takes us through a labyrinth of shafts and galleries towards the discovery both of a rational spatial organization, using spécifie building and extraction techniques, and of the economic and political conditions which encouraged its development. This study, at the crossroads of bistory and archaeology, constituiez a precious source of informations both for specialists and for newcomers to the bistory of mining and its techniques. 517 $aMines d?argent du duché de Lorraine au XVIe siècle 517 $aMines d’argent du duchà de Lorraine au XVIe siècle 606 $aArchaeology 606 $amine 606 $amétal 606 $aargent 606 $aHaut-Rhin 606 $aVal de Lièpvre 606 $aduché de Lorraine 606 $aFontaine des Chouettes 606 $aerbstoll 606 $aaérage 606 $atechnique minière 610 $amine 610 $amétal 610 $aargent 610 $aHaut-Rhin 610 $aVal de Lièpvre 610 $aduché de Lorraine 610 $aFontaine des Chouettes 610 $aerbstoll 610 $aaérage 610 $atechnique minière 615 4$aArchaeology 615 4$amine 615 4$amétal 615 4$aargent 615 4$aHaut-Rhin 615 4$aVal de Lièpvre 615 4$aduché de Lorraine 615 4$aFontaine des Chouettes 615 4$aerbstoll 615 4$aaérage 615 4$atechnique minière 700 $aGrandemange$b Jacques$0220365 801 0$bFR-FrMaCLE 906 $aBOOK 912 $a9910580238603321 996 $aLes mines d?argent du duché de Lorraine au XVIe siècle$93024979 997 $aUNINA LEADER 04662nam 2201189z- 450 001 9910557678803321 005 20210501 035 $a(CKB)5400000000044745 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/69401 035 $a(oapen)doab69401 035 $a(EXLCZ)995400000000044745 100 $a20202105d2020 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aMachine Learning for Energy Systems 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2020 215 $a1 online resource (272 p.) 311 08$a3-03943-382-2 311 08$a3-03943-383-0 330 $aThis volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on. 606 $aHistory of engineering and technology$2bicssc 610 $aabnormal defects 610 $aAdaptive Neuro-Fuzzy Inference System 610 $aartificial intelligence 610 $ablockchain 610 $ablockchain technology 610 $acast-resin transformers 610 $aclassification 610 $aclassification and regression trees 610 $aclustering 610 $acomponent accident set 610 $acyber-physical systems 610 $adata evolution mechanism 610 $adecision tree 610 $aenergy internet 610 $aenergy management system 610 $aenergy router 610 $aenergy storage 610 $aenergy systems 610 $aensemble empirical mode decomposition 610 $aextreme learning machine 610 $afatigue 610 $aforecasting 610 $aharmonic impedance 610 $aharmonic impedance identification 610 $aharmonic parameter 610 $aharmonic responsibility 610 $ahierarchical clustering 610 $ahigh permeability renewable energy 610 $ahybrid AC/DC power system 610 $ahybrid interval forecasting 610 $aindustrial mathematics 610 $ainformation security 610 $ainsulator fault forecast 610 $aintegrated energy system 610 $aintelligent control 610 $aInterfacial tension 610 $ainverse problems 610 $alinear regression model 610 $alinearization 610 $aload leveling 610 $amachine learning 610 $amaintenance 610 $amonitoring data without phase angle 610 $aMOPSO algorithm 610 $aoffshore wind farm 610 $aoptimization 610 $aparameter estimation 610 $apartial discharge 610 $apattern recognition 610 $aphotovoltaic output power forecasting 610 $apower control 610 $apower quality 610 $aQoS index of energy flow 610 $arelevance vector machine 610 $arenewable energy source 610 $arisk assessment 610 $arule extraction 610 $asample entropy 610 $ascheduling optimization 610 $asmart microgrid 610 $astochastic optimization 610 $atime series forecasting 610 $atraction network 610 $atransformer oil parameters 610 $avacuum tank degasser 610 $aVolterra equations 610 $aVolterra models 610 $avulnerability 610 $awavelet packets 610 $awind power: wind speed: T-S fuzzy model: forecasting 610 $awind turbine 615 7$aHistory of engineering and technology 700 $aSidorov$b Denis N$4edt$01329477 702 $aSidorov$b Denis N$4oth 906 $aBOOK 912 $a9910557678803321 996 $aMachine Learning for Energy Systems$93039487 997 $aUNINA