LEADER 03577nam 2200577 450 001 9910465141803321 005 20200520144314.0 010 $a1-4384-4973-9 035 $a(CKB)3710000000086902 035 $a(EBL)3408837 035 $a(SSID)ssj0001114219 035 $a(PQKBManifestationID)12490508 035 $a(PQKBTitleCode)TC0001114219 035 $a(PQKBWorkID)11073465 035 $a(PQKB)10068301 035 $a(MiAaPQ)EBC3408837 035 $a(OCoLC)869735729 035 $a(MdBmJHUP)muse31920 035 $a(Au-PeEL)EBL3408837 035 $a(CaPaEBR)ebr10833674 035 $a(OCoLC)921232748 035 $a(EXLCZ)993710000000086902 100 $a20130502d2014 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aDestiny domesticated $ethe rebirth of tragedy out of the spirit of technology /$fJos de Mul ; with translation assistance from Bibi van den Berg 210 1$aAlbany :$cState University of New York Press,$d2014. 215 $a1 online resource (358 p.) 300 $a"Originally published as De domesticatie van het noodlot : de wedergeboorte van de tragedie uit de geest van de technologie c2006 Klement & Pelckmans." 311 $a1-4384-4971-2 320 $aIncludes bibliographical references and index. 327 $a""Contents""; ""Foreword""; ""Acknowledgments""; ""Prologue""; ""When Fate Knocks""; ""Europea???The Tragic Continent""; ""Prometheus Bound""; ""Fatal Signs""; ""1. Destiny Domesticated""; ""The Bijlmer Plane Crash""; ""Necessity and Chance""; ""Tragic, Christian, and Modern Providence""; ""Living with Fate""; ""2. Chance Living""; ""a???Who Am I? What Am I Doing Here?a???""; ""Accidental and Contingent Chance""; ""Uncontrollable Fate""; ""The Fragility of Happiness""; ""3. Fatal Politics""; ""Between Athens and Jerusalem""; ""The Birth of Tragedy""; ""From Antigone to Hirsi Ali"" 327 $a""Sublime Suffering""""4. The (Non-)Reproducibility of the Tragic""; ""The Death of Tragedy""; ""Christian and Modern a???Eliminationa??? of the Tragic""; ""The (Post)Modern Resurrection of the Tragic""; ""Tragic Repetition with a Difference""; ""5. The Art of Suffering""; ""The Sadist Universe""; ""Fear, Pity, Catharsis""; ""Sublimating the Sublime""; ""The Lust of Suffering""; ""6. Awesome Technologies""; ""Ode to Man""; ""Technological Ambivalence""; ""Affirmation beyond Optimism and Pessimism""; ""Tragic Technologies""; ""7. Tragic Parenthood""; ""The Savanna Case""; ""Medeaa???s Daimon"" 327 $a""The Schizophrenia of the Modern Concept of Man""""Inevitable Blame""; ""8. Fateful Machines""; ""The Morality of a???Oura??? Computers""; ""Relativizing Ethics""; ""Acting Machines""; ""The Tragic Ethics of the Cyborg""; ""9. Exodus""; ""The Rebirth of Tragedy from the Spirit of Technology""; ""Prometheus Unbound""; ""Between Satyr and Cyborg""; ""The Possibility of an Island""; ""Notes""; ""Works Cited""; ""Name Index""; ""Subject Index"" 330 $a"An analysis of contemporay technological society through the lens of Greek tragedy"--Provided by publisher. 606 $aFate and fatalism$xHistory 608 $aElectronic books. 615 0$aFate and fatalism$xHistory. 676 $a190 700 $aMul$b Jos de$f1956-$01048657 701 $aBerg$b Bibi van den$01048658 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465141803321 996 $aDestiny domesticated$92477080 997 $aUNINA LEADER 08543nam 2200481 450 001 996466727103316 005 20231110220611.0 010 $a3-030-81982-5 035 $a(CKB)4100000012037903 035 $a(MiAaPQ)EBC6737918 035 $a(Au-PeEL)EBL6737918 035 $a(OCoLC)1272998875 035 $a(PPN)258053925 035 $a(EXLCZ)994100000012037903 100 $a20220628d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAdvanced methods for human biometrics /$fedited by Nabil Derbel and Olfa Kanoun 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (305 pages) 225 1 $aSmart Sensors, Measurement and Instrumentation ;$vv.40 311 $a3-030-81981-7 327 $aIntro -- Preface -- Contents -- Part I Authentication Based on Measurements of Human Characteristics -- 1 Efficient Fingerprint Analysis Based on Sweat Pore Map -- 1.1 Introduction -- 1.2 Related Works -- 1.3 Proposed Approach -- 1.3.1 Step 1: Pores Detection -- 1.3.2 Step 2: Features Extraction -- 1.3.3 Step 3: Pores Alignment -- 1.3.4 Step 4: Pores Matching -- 1.4 Experiments and Performance Evaluation -- 1.4.1 Data Base -- 1.4.2 Training and Test Process -- 1.4.3 Feature Matching -- 1.4.4 Performance Evaluation -- 1.5 Conclusion -- References -- 2 Fingerprint Recognition Based on Level Three Features -- 2.1 Introduction -- 2.2 Biometry Background -- 2.2.1 Biometric Systems -- 2.2.2 Biology of the Fingerprint -- 2.3 Pores Detection -- 2.3.1 Related Works -- 2.3.2 Proposed Method -- 2.4 Pores Matching -- 2.4.1 Related Works -- 2.4.2 Proposed Method -- 2.5 Experimental Results -- 2.5.1 Database -- 2.5.2 Pores Detection -- 2.5.3 Recognition -- 2.6 Conclusion -- References -- 3 Fractal Analysis for Iris Multimodal Biometry -- 3.1 Introduction -- 3.2 Related Works -- 3.3 Feature Extraction Based on Fractal Analysis -- 3.4 Uni-Modal Recognition System -- 3.4.1 PBMLTiris Database Description -- 3.4.2 Pre-processing -- 3.4.3 Iris Segmentation (Daugman's Operator) -- 3.4.4 Normalization Based on the Pseudo-Polar Method (Mas?ek, ch3AmenispsbibspsMaek2003RecognitionOH) -- 3.4.5 Matching -- 3.5 Multi-modal Recognition System -- 3.5.1 Limitations of Uni-Modal Recognition System (Singh et al., ch3Amenispsbibspssingh2019comprehensive) -- 3.5.2 Fusion Sources -- 3.5.3 Fusion Levels -- 3.6 Experimental Results -- 3.6.1 Segmentation Results -- 3.6.2 Uni-Modal System Evaluation -- 3.6.3 Feature Level Fusion Results -- 3.6.4 Sensor Level Fusion Results -- 3.6.5 Score Level Fusion Results -- 3.7 Discussion and Conclusion -- References. 327 $aPart II Authentication by Biological Signals -- 4 Security with ECG Biometrics -- 4.1 Biometrics Definition -- 4.2 Biometrics with ECG -- 4.3 ECG Biometrics Approaches -- 4.3.1 Fiducial Approaches -- 4.3.2 Non-fiducial Approaches -- 4.4 ECG Signal Filters -- 4.5 ECG Biometric Classifiers -- 4.6 Evaluation of ECG Biometrics -- 4.7 Conclusion -- References -- 5 ECG Biometric System for Human Recognition Based on the Possibility Theory -- 5.1 Introduction -- 5.2 Possibility Theory -- 5.2.1 Possibility Distribution -- 5.2.2 Transformation from Probability Distribution to Possibility Distribution -- 5.3 Methodology -- 5.3.1 ECG Signal Pre-processing -- 5.3.2 Feature Extraction -- 5.3.3 Possibility Theory Based ECG Classification -- 5.3.4 Experimental Results and Discussion -- 5.4 Conclusion -- References -- 6 Surface EMG Based Biometric Person Authentication by a Grasshopper Optimized SVM Algorithm -- 6.1 Introduction -- 6.2 Biometry Based on sEMG Signals -- 6.3 Hybrid Grasshopper Optimization Algorithm and Support Vector Machine (GOA-SVM) -- 6.3.1 Grasshopper Optimization Algorithm (GOA) -- 6.3.2 GOA-SVM -- 6.4 Experimental Results -- 6.5 Conclusion -- References -- Part III Algorithm Based Methods of Multimodal Authentication -- 7 Tracklet and Signature Representation Using Part Appearance Mixture Approach in the Context of Multi-shot Person Re-Identification -- 7.1 Introduction -- 7.2 Main Challenges of Person Re-ID -- 7.3 Related Works -- 7.4 Person Re-ID Process -- 7.4.1 Detection -- 7.4.2 Multi-object Tracking -- 7.5 Part Appearance Mixture (PAM) Approach -- 7.5.1 Signature Representation -- 7.5.2 Similarity Metric for Signature Representation -- 7.5.3 Distance Computation Between Signatures -- 7.6 Experiments and Results -- 7.6.1 Datasets -- 7.6.2 Performance Evaluation -- 7.6.3 Evaluation of Signature Representation Quality -- 7.7 Conclusion. 327 $aReferences -- 8 A Novel Approach for Speaker Recognition in Degraded Conditions -- 8.1 Introduction -- 8.2 Related Works -- 8.3 Proposed Approach -- 8.3.1 Pre-processing -- 8.3.2 Feature Extraction -- 8.3.3 Classification -- 8.4 Experimental Results -- 8.5 Conclusion -- References -- 9 Visual Methods for Sign Language Recognition: A Modality-Based Review -- 9.1 Introduction -- 9.2 Human Actions Recognition Pipeline -- 9.3 Unimodal Methods -- 9.3.1 Recognition from Joint Streams -- 9.3.2 Recognition from RGB Streams -- 9.3.3 Recognition from Depth Streams -- 9.3.4 Unimodal Temporal Segmentation Approaches -- 9.4 Multi-modal Methods -- 9.4.1 Multi-modal Datasets for HAR -- 9.4.2 Multi-modal Fusion Approaches -- 9.4.3 Multi-modal Datasets for 3D FEs Recognition -- 9.4.4 Multi-modal Approaches for 3D FEs Recognition -- 9.5 Main Contributions Related to SL Recognition -- 9.5.1 SL Datasets -- 9.5.2 SL Visual-Recognition Based Works -- 9.6 Conclusion and Discussion -- 9.6.1 Datasets Level -- 9.6.2 Approaches Level -- 9.6.3 Commercial Solutions Level -- References -- 10 A Software Architecture for Developing Disease Registries -- 10.1 Introduction -- 10.2 Related Work -- 10.2.1 Technology -- 10.2.2 Data -- 10.2.3 Knowledge -- 10.2.4 Analytics -- 10.2.5 Services -- 10.2.6 Security -- 10.2.7 Sharing -- 10.3 Proposed Software Architecture -- 10.3.1 Technology Layer -- 10.3.2 Data Layer -- 10.3.3 Knowledge Layer -- 10.3.4 Analytics Layer -- 10.3.5 Service Layer -- 10.3.6 Security and Privacy -- 10.3.7 Sharing -- 10.3.8 Interactions -- 10.4 Use Cases -- 10.5 Conclusion -- References -- Part IV Biomedical Characteritics -- 11 3D Textures Analysis Based on Features Extraction -- 11.1 Introduction -- 11.2 Methods of Texture Measures -- 11.2.1 Decimal Descriptor Patterns (DDP) -- 11.2.2 Local Binary Patterns -- 11.2.3 Grey Level Co-occurrence Matrix Method. 327 $a11.3 Experiments and Results -- 11.3.1 Databases -- 11.3.2 Phases of Simulation -- 11.3.3 3D MR Brain Images Analysis -- 11.3.4 3D Face Analysis -- 11.3.5 Discussion -- 11.4 Conclusion -- References -- 12 Image Processing and Analysis for Decision Making Applied to Melanoma -- 12.1 Introduction -- 12.2 About Melanoma -- 12.3 Diagnostic Aid System Based on Score Computation -- 12.3.1 Images Acquisition -- 12.3.2 Images Pretreatment -- 12.3.3 Lesion Detection -- 12.3.4 Interpretation of Medical Images -- 12.4 Diagnostic Aid System Based on Machine Learning -- 12.4.1 Images Acquisition -- 12.4.2 Pretreatment of Dermatoscopic Images -- 12.4.3 Segmentation of Lesion Based on Region Growing Method -- 12.4.4 Skin Lesion Analysis -- 12.5 Experimental Results and Discussion -- 12.5.1 Approach Based on the MultiOtsu Principle -- 12.5.2 Approach Based on the Region Growing Method -- 12.5.3 Evaluation and Discussion -- 12.6 Conclusion -- References -- 13 Biomedical Computer Aided Design Systems: Application to Alzheimer Disease -- 13.1 Introduction -- 13.2 Proposed Methodology -- 13.3 Previous Works -- 13.3.1 Partial Least Square (PLS) -- 13.3.2 Kernel Partial Least Square (KPLS) -- 13.4 Proposed Downsized KPLS Method (DPLS) -- 13.5 Optimization with Multi-objective Optimization Algorithm -- 13.5.1 Principle -- 13.5.2 Selection of Kernel Parameter with Multi-Objective Optimization Algorithm -- 13.6 Classification Using Neural Networks -- 13.7 Experiments -- 13.7.1 Experiments on ADNI Dataset -- 13.7.2 Experiments on OASIS Dataset -- 13.8 Conclusion and Future Work -- References. 410 0$aSmart Sensors, Measurement and Instrumentation 606 $aBiometric identification 615 0$aBiometric identification. 676 $a006.248 702 $aKanoun$b Olfa 702 $aDerbel$b Nabil 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466727103316 996 $aAdvanced methods for human biometrics$92889507 997 $aUNISA LEADER 01489nam 2200361z- 450 001 9910689694803321 005 20161209103247.0 035 $a(CKB)5860000000030057 035 $a(BIP)008891018 035 $a(EXLCZ)995860000000030057 100 $a20220406c2003uuuu -u- - 101 0 $aeng 200 10$aOne year later $erestoring economic security for workers and the nation : hearing of the Committee on Health, Education, Labor, and Pensions, United States Senate, One Hundred Seventh Congress, second session, on examining unemployed Americans in the context of the current economic situation, focusing on temporary emergency unemployment compensation (TECU) [i.e. (TEUC)] reform, September 12, 2002 215 $a1 online resource (iii, 41 p.) $cill 311 $a0-16-070177-5 517 $aOne year later 606 $aUnemployment insurance$zUnited States 606 $aUnemployed$zUnited States 606 $aSeptember 11 Terrorist Attacks, 2001$xEconomic aspects 607 $aUnited States$xEconomic conditions$y2001-2009 610 $aUnemployment insurance 610 $aUnemployed 610 $aSeptember 11 terrorist attacks, 2001 610 $aUnited States 610 $aBusiness & economics 610 $aHistory 615 0$aUnemployment insurance 615 0$aUnemployed 615 0$aSeptember 11 Terrorist Attacks, 2001$xEconomic aspects. 906 $aBOOK 912 $a9910689694803321 996 $aOne year later$93133135 997 $aUNINA