LEADER 05949nam 2200865Ia 450 001 9910956658603321 005 20200520144314.0 010 $a9786613131607 010 $a9781283131605 010 $a1283131609 010 $a9780774853576 010 $a0774853573 024 7 $a2027/heb06747 035 $a(CKB)2430000000000477 035 $a(EBL)3246094 035 $a(SSID)ssj0000333220 035 $a(PQKBManifestationID)11248454 035 $a(PQKBTitleCode)TC0000333220 035 $a(PQKBWorkID)10335995 035 $a(PQKB)10459681 035 $a(SSID)ssj0000568900 035 $a(PQKBManifestationID)12243382 035 $a(PQKBTitleCode)TC0000568900 035 $a(PQKBWorkID)10535889 035 $a(PQKB)10989036 035 $a(CaPaEBR)404152 035 $a(CaBNvSL)jme00326365 035 $a(Au-PeEL)EBL3412328 035 $a(CaPaEBR)ebr10146892 035 $a(CaONFJC)MIL313160 035 $a(OCoLC)923444011 035 $a(dli)HEB06747 035 $a(MiU)MIU01000000000000007294870 035 $a(VaAlCD)20.500.12592/6qt2j5 035 $a(schport)gibson_crkn/2009-12-01/2/404152 035 $a(MiAaPQ)EBC3412328 035 $a(MiAaPQ)EBC3246094 035 $a(DE-B1597)662263 035 $a(DE-B1597)9780774853576 035 $a(EXLCZ)992430000000000477 100 $a19980327d1997 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aCreating historical memory $eEnglish-Canadian women and the work of history /$fedited by Beverly Boutilier and Alison Prentice 205 $a1st ed. 210 $aVancouver $cUBC Press$dc1997 215 $a1 online resource (321 p.) 300 $aDescription based upon print version of record. 311 08$a9780774806404 311 08$a0774806400 311 08$a9780774806411 311 08$a0774806419 320 $aIncludes bibliographical references and index. 327 $t1. Introduction: Locating Women in the Work of History /$rBeverly Boutilier and Alison Prentice --$tPart 1: Community Building --$t2. Cultivating a Love of Canada through History: Agnes Maule Machar, 1837-1927 /$rDianne M. Hallman --$t3. Women's Rights and Duties: Sarah Anne Curzon and the Politics of Canadian History /$rBeverly Boutilier --$t4. Ontario Women's Institutes and the Work of Local History /$rLinda M. Ambrose --$tPart 2: Transitions --$t5. 'Writing Teaches Us Our Mysteries': Women Religious Recording and Writing History /$rElizabeth Smyth --$t6. 'I walk my own track in life & no mere male can bump me off it': Constance Lindsay Skinner and the Work of History /$rJean Barman --$t7. Isabel Skelton: Precursor to Canadian Cultural History /$rTerry Crowley --$tPart 3: The Academy --$t8. Laying Siege to the History Professoriate /$rAlison Prentice --$t9. A View from the Front Steps: Esther Clark Wright and the Making of a Maritime Historian /$rBarry M. Moody --$t10. Kathleen Wood-Legh: A Canadian in Cambridge /$rMegan J. Davies and Colin M. Coates --$tPart 4: New Departures --$t11. Women's History: Founding a New Field /$rDeborah Gorham 330 $aCanadian women have worked, individually and collectively, at home and abroad, as creators of historical memory. This engaging collection of essays seeks to create an awareness of the contributions made by women to history and the historical profession from 1870 to 1970 in English Canada. Creating Historical Memory explores the wide range of careers that women have forged for themselves as writers and preservers of history within, outside, and on the margins of the academy. The authors suggest some of the institutional and intellectual locations from which English Canadian women have worked as historians and attempt to problematize in different ways and to varying degrees, the relationship between women and historical practice. The authors raise many interesting questions about how gender influences historical consciousness and whether looking at the past through women's eyes alters the view. Women engaged in history in a wide variety of ways -- as authors of fiction, popular history, juvenilia, and drama -- as well as more academic research and publishing. They worked as individuals, as both professional writers and academics, and within formal and informal communities of women such as religious groups or local clubs. The essays also talk about the barriers that existed for women who wanted to be recognized as historians and teachers of history and point out how gender differences have coloured perceptions of what constitutes history and who should write that history. This anthology shows how, instead of being intimidated or defeated by their marginalization, women developed new and interesting ideas about what constituted history. The final essay in the volume assesses the impact the burgeoning of feminist history in the 1970s had on the academy and examines the connection between feminist activism and women's history. This original and lively book highlights the pioneering efforts of women in developing alternate paths to historical expression. It makes an important contribution both to Canadian historical studies and to women's and gender history in the West and will appeal to scholars interested in Canadian history, women's studies, literature, and historiography. 606 $aWomen$zCanada$xHistoriography 606 $aWomen$zCanada$xHistory 606 $aWomen historians$zCanada$xHistory 607 $aCanada$xHistoriography 615 0$aWomen$xHistoriography. 615 0$aWomen$xHistory. 615 0$aWomen historians$xHistory. 676 $a305.4/0971 701 $aBoutilier$b Beverly$f1963-$0855811 701 $aPrentice$b Alison L$0855812 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910956658603321 996 $aCreating historical memory$91910644 997 $aUNINA LEADER 06369nam 22007335 450 001 9910682562203321 005 20260211162103.0 010 $a9783031250996 010 $a3031250990 024 7 $a10.1007/978-3-031-25099-6 035 $a(MiAaPQ)EBC7217813 035 $a(Au-PeEL)EBL7217813 035 $a(OCoLC)1373987343 035 $a(DE-He213)978-3-031-25099-6 035 $a(PPN)269094792 035 $a(CKB)26291137600041 035 $a(EXLCZ)9926291137600041 100 $a20230320d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpeeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks /$fby João L. C. P. Domingues, Pedro J. C. D. C. Vaz, António P. L. Gusmão, Nuno C. G. Horta, Nuno C. C. Lourenço, Ricardo M. F. Martins 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (115 pages) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3712 311 08$aPrint version: Domingues, João L. C. P. Speeding-Up Radio-Frequency Integrated Circuit Sizing with Neural Networks Cham : Springer International Publishing AG,c2023 9783031250989 320 $aIncludes bibliographical references. 327 $aChapter 1. Introduction -- Chapter 2. Related Work: Machine Learning and Electronic Design Automation -- Chapter 3. Convergence Classifier & Frequency Guess Predictor based on ANNs -- Chapter 4. Process, Voltage and Temperature Corner Performance Estimator using ANNs -- Chapter 5. Conclusions. 330 $aIn this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today?s market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances. Given the economic pressure for high quality yet cheap electronics and challenging time-to-market constraints, there is an urgentneed for electronic design automation (EDA) tools to increase the RF designers? productivity and improve the quality of resulting ICs. In the last years, the automatic sizing of RF IC blocks in deep nanometer technologies has moved toward process, voltage and temperature (PVT)-inclusive optimizations to ensure their robustness. Each sizing solution is exhaustively simulated in a set of PVT corners, thus pushing modern workstations? capabilities to their limits. Standard ANNs applications usually exploit the model?s capability of describing a complex, harder to describe, relation between input and target data. For that purpose, ANNs are a mechanism to bypass the process of describing the complex underlying relations between data by feeding it a significant number of previously acquired input/output data pairs that the model attempts to copy. Here, and firstly, the ANNs disrupt from the most recent trials of replacing the simulator in the simulation-based sizing with a machine/deep learning model, by proposing two different ANNs, the first classifies the convergence of the circuit for nominal and PVT corners, and the second predicts the oscillating frequencies for each case. The convergence classifier (CCANN) and frequency guess predictor (FGPANN) are seamlessly integrated into the simulation-based sizing loop, accelerating the overall optimization process. Secondly, a PVT regressor that inputs the circuit?s sizing and the nominal performances to estimate the PVT corner performances via multiple parallel artificial neural networks is proposed. Two control phases prevent the optimization process from being misled by inaccurate performance estimates. As such, this book details the optimal description of the input/output data relation that should be fulfilled. The developed description is mainly reflected in two of the system?s characteristics, the shape of the input data and its incorporation in the sizing optimization loop. An optimal description of these components should be such that the model should produce output data that fulfills the desired relation for the given training data once fully trained. Additionally, the model should be capable of efficiently generalizing the acquired knowledge in newer examples, i.e., never-seen input circuit topologies. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3712 606 $aMachine learning 606 $aNeural networks (Computer science) 606 $aMathematics$xData processing 606 $aMachine Learning 606 $aMathematical Models of Cognitive Processes and Neural Networks 606 $aComputational Science and Engineering 606 $aCircuits integrats$2thub 606 $aDisseny de circuits integrats$2thub 606 $aXarxes neuronals (Informàtica)$2thub 606 $aIndústria$2thub 608 $aLlibres electrònics$2thub 615 0$aMachine learning. 615 0$aNeural networks (Computer science) 615 0$aMathematics$xData processing. 615 14$aMachine Learning. 615 24$aMathematical Models of Cognitive Processes and Neural Networks. 615 24$aComputational Science and Engineering. 615 7$aCircuits integrats 615 7$aDisseny de circuits integrats 615 7$aXarxes neuronals (Informàtica) 615 7$aIndústria 676 $a621.3815 676 $a621.3815 700 $aDomingues$b Joa?o L. C. P.$01347169 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910682562203321 996 $aSpeeding-up radio-frequency integrated circuit sizing with neural networks$93417287 997 $aUNINA