03144oam 2200661I 450 991046243590332120200520144314.01-283-84534-21-136-06970-40-203-47588-710.4324/9780203475881 (CKB)2670000000277162(EBL)1075308(OCoLC)821176217(SSID)ssj0000782911(PQKBManifestationID)11491718(PQKBTitleCode)TC0000782911(PQKBWorkID)10751761(PQKB)10191889(MiAaPQ)EBC1075308(Au-PeEL)EBL1075308(CaPaEBR)ebr10628873(CaONFJC)MIL415784(EXLCZ)99267000000027716220180706d2003 uy 0engur|n|---|||||txtccrCognitive science, literature, and the arts a guide for humanists /Patrick Colm HoganNew York ;London :Routledge,2003.1 online resource (463 p.)Description based upon print version of record.0-415-94245-4 0-415-94244-6 Includes bibliographical references (p. [227]-233) and index.Cover; Title; Copyright; Dedication; CONTENTS; Acknowledgments; Introduction. The Dustheap of History: Why Cognitive Science Now?; Chapter 1. "My Favorite Things": Thinking Jazz; Chapter 2. Is It Cognitive Science Yet? Some Basic Principles; Chapter 3. The Author: Maestros and Geniuses; Chapter 4. The Text (I): Where the Metaphors Are; Chapter 5. The Text (II): Narrative, or Getting the Story Straight; Chapter 6. The Reader: How Literature Makes Us Feel; Chapter 7. From Mind to Matter: Art, Empathy, and the BrainChapter 8. The Evolutionary Turn: Blindness and Insight in the Explanation of Art and MindNotes; Works Cited; IndexThe rise cognitive science has been one of the most important intellectual developments of recent years, stimulating new approaches to everything from philosophy to film studies. This is an introduction to what cognitive science has to offer the humanities and particularly the study of literature. Hogan suggests how the human brain works and makes us feel in response to literature. He walks the reader through all of the major theories of cognitive science that are important for the humanities in order to understand the production and reception of literature.Psychology in literaturePsychology in artCognitive scienceLiteratureHistory and criticismElectronic books.Psychology in literature.Psychology in art.Cognitive science.LiteratureHistory and criticism.801Hogan Patrick Colm.532285MiAaPQMiAaPQMiAaPQBOOK9910462435903321Cognitive science, literature, and the arts1031475UNINA02772nam 2200601z- 450 991055752820332120231214132833.0(CKB)5400000000044296(oapen)https://directory.doabooks.org/handle/20.500.12854/69418(EXLCZ)99540000000004429620202105d2020 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierWireless Rechargeable Sensor Networks 2019Basel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20201 electronic resource (108 p.)3-03943-599-X 3-03943-600-7 Wireless sensor networks, due to their various applications in many fields and limited power consumption, have attracted much attention recently. Most previous methods have focused on providing energy-saving strategies to elevate the lifetime of sensor networks. Another aggressive but different approach is to wirelessly recharge sensor nodes to increase the lifetime of the sensor networks. This book collects articles that address state-of-the-art technologies and new developments for wireless rechargeable sensor networks (WRSNs), including the latest hot topics such as charger deployment, charger scheduling, wireless energy transfer, mobile charger design, energy-harvesting technique, and energy provisioning. We believe that the accepted articles present the most up-to-date progress in algorithms and theory for robust wireless sensor networks with respect to different networking problems.Information technology industriesbicsscwireless rechargeable sensor networksmultiple mobile chargerscharge schedulinggenetic algorithmsustainable networksWireless Sensor NetworkDijkstra routing algorithmload balancepower consumptionenergy harvestingwireless sensor networkenvironmental monitoringclusteringenergy efficiencynetwork lifetimetransmission powerdistributed networksfingerprintinglocalizationray-tracingwireless sensorshybrid methodwireless charger deploymentInformation technology industriesYu Chang Wuedt1290191Yu Chang WuothBOOK9910557528203321Wireless Rechargeable Sensor Networks 20193021408UNINA