LEADER 02557nam 2200589 a 450 001 9910971362303321 005 20250630220623.0 010 $a1-280-69981-7 010 $a9786613676795 010 $a1-4411-3444-1 035 $a(CKB)2670000000206409 035 $a(EBL)943643 035 $a(OCoLC)796384790 035 $a(SSID)ssj0000690258 035 $a(PQKBManifestationID)12267986 035 $a(PQKBTitleCode)TC0000690258 035 $a(PQKBWorkID)10619911 035 $a(PQKB)10107025 035 $a(MiAaPQ)EBC943643 035 $a(eisbn)1280699817 035 $a(eisbn)9786613676795 035 $a(eisbn)1441134441 035 $a(Au-PeEL)EBL943643 035 $a(CaPaEBR)ebr10571050 035 $a(CaONFJC)MIL367679 035 $a(EXLCZ)992670000000206409 100 $a20120626d2012 uy 0 101 0 $aeng 135 $aurcnu---unuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIn the grip of light $ethe dark and bright journey of Christian contemplation /$fPaul Murray 210 $aLondon ;$aNew York $cBloomsbury$d2012 215 $a1 online resource (129 p.) 311 08$a1-4411-4550-8 320 $aIncludes bibliographical references. 327 $aAcknowledgements; Introduction - A Surprising Radiance; One; Fire and Fountain: The Living Experience of God; Two; Mystery into Words: St Bernard of Clairvaux and the Experience of God; Three; Searching for God: Contemplative Prayer in the Dominican Tradition; Notes 330 $aWhat is it like in practice to come close to the presence of God? Are there words which can, in some way, explain the nature of that experience? In this compelling study, Paul Murray draws attention to both the wisdom and lived experience of those men and women who know, at first hand, of the light and fire of which they speak. Murray demonstrates how important and relevant for us today are the writings of authors such as Catherine of Siena, John of the Cross, Meister Eckhart, and Teresa of Avila. To the often bewildered hearts and minds of our generation, the writings of these remarkable men 606 $aLight$xReligious aspects$xChristianity 606 $aContemplation 615 0$aLight$xReligious aspects$xChristianity. 615 0$aContemplation. 676 $a248.34 700 $aMurray$b Paul$0550907 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910971362303321 996 $aIn the grip of light$94401065 997 $aUNINA LEADER 05657nam 22006015 450 001 9910743687003321 005 20251008152013.0 010 $a9783031280160 010 $a3031280164 024 7 $a10.1007/978-3-031-28016-0 035 $a(MiAaPQ)EBC30727096 035 $a(Au-PeEL)EBL30727096 035 $a(DE-He213)978-3-031-28016-0 035 $a(PPN)272739243 035 $a(CKB)28141360900041 035 $a(OCoLC)1396698707 035 $a(EXLCZ)9928141360900041 100 $a20230901d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Optimization Techniques for Automotive Cyber-Physical Systems /$fedited by Vipin Kumar Kukkala, Sudeep Pasricha 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (782 pages) 311 08$aPrint version: Kukkala, Vipin Kumar Machine Learning and Optimization Techniques for Automotive Cyber-Physical Systems Cham : Springer International Publishing AG,c2023 9783031280153 327 $aChapter 1 Reliable Real-time Message Scheduling in Automotive Cyber-Physical Systems -- Chapter 2 Evolvement of Scheduling Theories for Autonomous Vehicles -- Chapter 3 Distributed Coordination and Centralized Scheduling for Automobiles at Intersections -- Chapter 4 Security Aware Design of Time-Critical Automotive Cyber-Physical Systems -- Chapter 5 Secure by Design Autonomous Emergency Braking Systems in Accordance with ISO 21434 -- Chapter 6 Resource Aware Synthesis of Automotive Security Primitives -- Chapter 7 Gradient-free Adversarial Attacks on 3D Point Clouds from LiDAR Sensors -- Chapter 8 Internet of Vehicles- Security and Research Road map -- Chapter 9 Protecting Automotive Controller Area Network: A Review on Intrusion Detection Methods Using Machine Learning Algorithms -- Chapter 10 Real-Time Intrusion Detection in Automotive Cyber-Physical Systems with Recurrent Autoencoders -- Chapter 11 Stacked LSTMs based Anomaly Detection in Time-Critical Automotive Networks -- Chapter 12 Deep AI for Anomaly Detection in Automotive Cyber-Physical Systems -- Chapter 13 Physical Layer Intrusion Detection and Localization on CAN bus -- Chapter 14 Spatiotemporal Information based Intrusion Detection Systems for In-vehicle Networks -- Chapter 15 In-Vehicle ECU Identification and Intrusion Detection from Electrical Signaling -- Chapter 16 Machine Learning for Security Resiliency in Connected Vehicle Applications -- Chapter 17 Object Detection in Autonomous Cyber-Physical Vehicle Platforms: Status and Open Challenges -- Chapter 18 Scene-Graph Embedding for Robust Autonomous Vehicle Perception -- Chapter 19 Sensing Optimization in Automotive Platforms -- Chapter 20 Unsupervised Random Forest Learning for Traffic Scenario Categorization -- Chapter 21 Development of Computer Vision Models for Drivable Region Detection in Snow Occluded Lane Lines.-Chapter 22 Machine Learning Based Perception Architecture Design for Semi-Autonomous Vehicles -- Chapter 23 -- Predictive Control During Acceleration Events to Improve Fuel Economy -- Chapter 24 Learning-based social coordination to improve safety and robustness of cooperative autonomous vehicles in mixed traffic -- Chapter 25 Evaluation of Autonomous Vehicle Control Strategies Using Resilience Engineering -- Chapter 26 Safety-assured Design and Adaptation of Connected and Autonomous Vehicles -- Chapter 27 Identifying and Assessing Research Gaps for Energy Efficient Control of Electrified Autonomous Vehicle Eco-driving. 330 $aThis book provides comprehensive coverage of various solutions that address issues related to real-time performance, security, and robustness in emerging automotive platforms. The authors discuss recent advances towards the goal of enabling reliable, secure, and robust, time-critical automotive cyber-physical systems, using advanced optimization and machine learning techniques. The focus is on presenting state-of-the-art solutions to various challenges including real-time data scheduling, secure communication within and outside the vehicle, tolerance to faults, optimizing the use of resource-constrained automotive ECUs, intrusion detection, and developing robust perception and control techniques for increasingly autonomous vehicles. The book describes state-of-the-art solutions to design secure, robust, and time-critical automotive systems; Various approaches are discussed that will impact the design of emerging autonomous vehicle systems; The content is relevant to researchers and industry practitioners interested in future automotive platforms. . 606 $aEmbedded computer systems 606 $aElectronic circuit design 606 $aCooperating objects (Computer systems) 606 $aEmbedded Systems 606 $aElectronics Design and Verification 606 $aCyber-Physical Systems 615 0$aEmbedded computer systems. 615 0$aElectronic circuit design. 615 0$aCooperating objects (Computer systems) 615 14$aEmbedded Systems. 615 24$aElectronics Design and Verification. 615 24$aCyber-Physical Systems. 676 $a006.22 676 $a006.22 701 $aKukkala$b Vipin Kumar$01427252 701 $aPasricha$b Sudeep$01372957 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910743687003321 996 $aMachine Learning and Optimization Techniques for Automotive Cyber-Physical Systems$93560164 997 $aUNINA