LEADER 03026nam 2200589Ia 450 001 9910465673103321 005 20200520144314.0 010 $a0-8047-8634-8 024 7 $a10.1515/9780804786348 035 $a(CKB)2560000000101906 035 $a(SSID)ssj0000885680 035 $a(PQKBManifestationID)11548561 035 $a(PQKBTitleCode)TC0000885680 035 $a(PQKBWorkID)10953568 035 $a(PQKB)10890853 035 $a(StDuBDS)EDZ0000155765 035 $a(MiAaPQ)EBC1191609 035 $a(DE-B1597)564452 035 $a(DE-B1597)9780804786348 035 $a(Au-PeEL)EBL1191609 035 $a(CaPaEBR)ebr10714543 035 $a(OCoLC)850161976 035 $a(OCoLC)1198929398 035 $a(EXLCZ)992560000000101906 100 $a20121211d2013 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 14$aThe adversary First Amendment$b[electronic resource] $efree expression and the foundations of American democracy /$fMartin H. Redish 210 $aStanford, Calif. $cStanford Law Books$d2013 215 $a1 online resource (x, 238 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a0-8047-7215-0 320 $aIncludes bibliographical references and index. 327 $tFrontmatter -- $tContents -- $tPreface -- $t1. Introduction: The First Amendment and American Democracy -- $t2. Adversary Democracy and American Political Theory -- $t3. Cooperative Democracy and Public Discourse: The Flawed Free Speech Theories of Robert Post and Alexander Meiklejohn -- $t4. Commercial Speech and the Twilight Zone of Viewpoint Discrimination -- $t5. The Anticorruption Principle, Free Expression, and the Democratic Process -- $t6. Adversary Democracy, Political Fraud, and the Dilemma of Anonymity -- $t7. Conclusion: The Optimistic Skepticism of the Adversary First Amendment -- $tNotes -- $tIndex 330 8 $aThis study presents a unique and controversial rethinking of the intersection between modern American democratic theory and free expression. It reshapes free speech as an outgrowth of adversary democracy, arguing that individuals should have the opportunity to affect the outcomes of collective decision-making according to their own personal values and interests. Adversary democracy recognises the inevitability of conflict within a democratic society, as well as the need for regulation of the conflict to prevent the onset of tyranny. In doing so, it embraces pluralism, diversity and individual growth and development. 606 $aFreedom of expression$zUnited States 606 $aDemocracy$zUnited States 608 $aElectronic books. 615 0$aFreedom of expression 615 0$aDemocracy 676 $a323.440973 700 $aRedish$b Martin H$0235914 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910465673103321 996 $aThe adversary First Amendment$92457465 997 $aUNINA LEADER 11021nam 2200493 450 001 996503563203316 005 20231110221258.0 010 $a3-031-20490-5 035 $a(MiAaPQ)EBC7165868 035 $a(Au-PeEL)EBL7165868 035 $a(CKB)25913878500041 035 $a(PPN)267813805 035 $a(EXLCZ)9925913878500041 100 $a20230422d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aSmart applications and data analysis $e4th international conference, SADASC 2022, Marrakesh, Morocco, September 22-24, 2022, proceedings /$fedited by Mohamed Hamlich, [and three others] 210 1$aCham, Switzerland :$cSpringer,$d[2022] 210 4$d©2022 215 $a1 online resource (461 pages) 225 1 $aCommunications in Computer and Information Science ;$vv.1677 311 08$aPrint version: Hamlich, Mohamed Smart Applications and Data Analysis Cham : Springer International Publishing AG,c2023 9783031204890 320 $aIncludes bibliographical references and index. 327 $aIntro -- Preface -- Organization -- Keynote Talks -- Graph Neural Networks: Principles and Models -- Drone-Based Service Delivery in Skyway Networks -- Bringing Order to the Internet of Things: A Search Engine Perspective -- Contents -- AI-Driven Methods 1 -- Detection of COVID-19 in X-Ray Images Using Constrained Multi-view Spectral Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Notations -- 2.2 Related Work -- 2.3 Review of the (NESE) Method -- 3 Proposed Approach -- 3.1 Optimization -- 4 Performance Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 4.3 Convergence Study -- 4.4 Parameter Sensitivity -- 5 Conclusion -- References -- Automatic SPECT Image Processing for Parkinson's Disease Early Detection -- 1 Introduction -- 2 Materials and Methods -- 3 Image Processing -- 4 Calculation of Features -- 5 Results and Discussion -- 6 Conclusion -- References -- Graph Convolution Networks for Unsupervised Learning -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Weighted Kernel K-Means and Spectral Clustering -- 3.2 Graph Convolution Network Overview -- 4 The Proposed Method -- 4.1 Model Architecture -- 4.2 Model Loss Function and Clustering -- 5 Experiments -- 5.1 Baselines -- 5.2 Evaluation Metrics and Experimental Setups -- 5.3 Result Analysis -- 6 Conclusion -- References -- Collaborative Kernel Discriminant Analysis for Large Scale Multi Class Problems -- 1 Introduction -- 2 General Learning Framework -- 3 Multi-class Kernel Learning -- 4 Collaborative Kernel Discriminant Analysis -- 4.1 General Framework -- 4.2 The Combining Rules of the Network -- 4.3 Capacity of the Classifiers and Overflow Management -- 5 Experimental Evaluation -- 5.1 Data Sets -- 5.2 Competitors -- 5.3 Influence of the Capacity C -- 5.4 Evaluation on Moderately Size Datasets -- 5.5 Comparative Study with Large Size Datasets. 327 $a6 Conclusion and Future Work -- References -- Spectral Clustering Based on a Graph Model for Airspace Sectorization -- 1 Introduction -- 2 Related Work -- 3 Spatial Clustering -- 4 Voronoi Diagram -- 5 Delaunay Triangulation -- 6 Airspace Graph Model -- 6.1 Sub-graphs -- 6.2 Weighted Graph Model -- 6.3 Objective Function -- 7 Spectral Clustering -- 7.1 Graph Laplacian -- 8 Conclusion -- References -- Networking Technologies and IoT -- Solar Charging Station for Electric Vehicles with IoT Solution for Monitoring Energy Production -- 1 Introduction -- 2 Related Works -- 3 Materials and Methods -- 3.1 Description of the Study Area -- 3.2 Calculation of Energy Consumption by Charging Electric Vehicles -- 3.3 Calculation of the Photovoltaic GEnerator's Power -- 3.4 Calculation of the Battery Capacity -- 3.5 Calculation of the Inverter -- 3.6 Monitoring of Energy Production -- 4 Results and Discussion -- 4.1 Theoretical Results -- 4.2 Simulation Results -- 4.3 Economic Study -- 4.4 Design with Blender Software -- 4.5 Firebase Database as Cloud -- 4.6 Software for Monitoring -- 5 Conclusion and Future Works -- References -- Low-Cost Smart Irrigation System Based on Internet of Things and Fuzzy Logic -- 1 Introduction -- 2 Methodology -- 2.1 Smart Irrigation System Architecture -- 2.2 Fuzzy Logic System -- 3 Results -- 4 Conclusion -- References -- AI-Driven Methods 2 -- autoTimeSVD++: A Temporal Hybrid Recommender System Based on Contractive Autoencoder and Matrix Factorization -- 1 Problem Formulation -- 2 Introduction -- 3 Related Work -- 3.1 SVD -- 3.2 Biased-SVD -- 3.3 SVD++ -- 3.4 autoSVD++ -- 4 Our Model -- 4.1 Contractive Autoencoder (CAE) -- 4.2 TimeSVD++ -- 4.3 AutoTimeSVD++ -- 4.4 Optimization -- 5 Experiments -- 5.1 Datasets -- 5.2 Evaluation -- 5.3 Results and Discussions -- 6 Conclusion -- References. 327 $aToward a Holistic Public Procurement 4.0. Case Study: Moroccan Public Procurement -- 1 Introduction -- 2 Context of the Study -- 2.1 Digital Transformation in Morocco -- 2.2 Public Procurement -- 2.3 Integrity Issues in Public Procurement -- 3 State of the Art -- 3.1 Procurement and Artificial Intelligence -- 3.2 Procurement and Blockchain -- 3.3 Procurement and Data -- 4 Proposed Approach -- 4.1 General View -- 4.2 Proposed Framework -- 5 Conclusion and Future Works -- References -- Classifiers-Based Personality Disorders Detection -- 1 Introduction -- 2 Related Work -- 3 Our Approach -- 3.1 Approach Overview -- 3.2 Unit Classifiers -- 4 Prototype, Experiments and Results -- 4.1 Datasets -- 4.2 Implemented Classifiers and Conducted Experiments -- 4.3 Clustering and Feature Selection -- 4.4 Clusters Interpretation -- 5 Conclusion -- References -- Green Energy, Computing and Technologies 1 -- Investigation of Different Speed Controllers to Improve the Performance of Vector-Controlled Synchronous Reluctance Motor -- 1 Introduction -- 2 State-Space Mathematical Model of the SynRM -- 3 Basis of SynRM Vector Control -- 4 PI Control Design -- 5 Fuzzy Logic Control Design -- 5.1 Fuzzification -- 5.2 Knowledge Base and Inference Engine -- 5.3 Defuzzification -- 6 Self-Tuning Anti-Windup Control Design -- 7 Results and Discussion -- 8 Conclusion -- References -- Performing Energy-Efficient Motions for Wheeled Mobile Robots by Designing an Orientation Controller -- 1 Introduction -- 2 Methodology -- 2.1 Total Energy Model -- 2.2 Mobile Robot Kinematic Energy -- 2.3 Controller Design -- 2.4 Orientation Models -- 3 Model Implementation and Results -- 4 Conclusion -- References -- Study of Path Optimization of an Electric Vehicle: Case of Morocco -- 1 Introduction -- 2 Background -- 3 Problem Formulation -- 3.1 Electric Vehicles in Morocco -- 3.2 Data Description. 327 $a3.3 Vehicle Characteristics -- 3.4 Charging Cost -- 4 Proposed Model and Simulation -- 4.1 Phase 1: Finding the Shortest Path -- 4.2 Phase 2: Cost of Travel -- 5 Results Discussion -- 6 Conclusion -- References -- AI-Driven Methods 3 -- Scalable Meta-Bayesian Based Hyperparameters Optimization for Machine Learning -- 1 Introduction -- 2 Theoretical Background and Related Work -- 2.1 Hyperparameters Optimization -- 2.2 Bayesian Optimization -- 2.3 Functional ANOVA for Assessing Hyperparameters Importance -- 3 Meta-guided Bayesian Optimization -- 4 Evaluation -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A Novel Graded Multi-label Approach to Music Emotion Recognition -- 1 Introduction -- 2 Music Emotion Classification -- 3 A Graded Multi-label MER Dataset -- 4 Graded Multi-label Classification -- 4.1 GML_DT -- 5 Experiments -- 5.1 Evaluation Metrics -- 5.2 Results -- 6 Conclusion -- References -- Data-Driven Solutions for Electricity Price Forecasting: The Case of EU Improvement Project -- 1 Introduction -- 1.1 Net-Zero Energy Buildings -- 1.2 Concepts Related to NZEBs -- 1.3 Predictive Control of NZEBs -- 2 Literature Review -- 3 Methodology -- 3.1 Accuracy Metrics -- 3.2 Dataset -- 3.3 Machine Learning Solutions -- 3.4 A Deep Learning Solution -- 3.5 Time Series Data -- 4 Results and Comparison -- 5 Conclusion -- References -- Determination of the Probability of Factors Occurrence Impacting Warehouse Planning by Bayesian Networks -- 1 Introduction -- 2 Related Work -- 3 Issue -- 3.1 Diagram of Planning Disruption -- 4 Determination of Probability Factors Affecting a Warehouse Planning Using Bayesian Networks -- 4.1 Principe of Bayesian Networks -- 4.2 The Developed Bayesian Network -- 4.3 Conditional Probability Generation -- 5 Implementation and Results -- 6 Conclusion and Outlook -- References. 327 $aGreen Energy, Computing and Technologies 2 -- Smart Grid Production Cost Optimization by Bellman Algorithm -- 1 Introduction -- 2 Energy Management Strategies in a Microgrid -- 3 Microgrid Cost Model -- 3.1 Cost of the Grid -- 3.2 Cost of the PV and Wind System -- 3.3 Cost of Micro-gas Turbine -- 3.4 Cost of Storage System -- 3.5 Objective Function -- 4 Application of the Optimization Strategy -- 4.1 Bellman Algorithm -- 4.2 Adaptation of the Strategy -- 5 Results and Comparisons -- 6 Conclusion -- References -- Sliding Mode Control of Six-Switch Five-Level Active Neutral Point Clamped (6S-5L-ANPC) -- 1 Introduction -- 2 Circuit Analysis -- 2.1 Topology Description -- 2.2 Modulation Strategy -- 3 Controller Design -- 3.1 Sliding Mode Control -- 3.2 Mathematical Modeling -- 3.3 Control Law -- 4 Simulation Results and Discussions -- 5 Conclusion -- References -- Statistical Analysis of PV-Wind-Battery Hybrid System Energy Efficiency for Green Buildings Power Supply -- 1 Introduction -- 2 Renewable System Hybridization -- 2.1 Photovoltaic System -- 2.2 Permanent Magnet Synchronous Generator -- 2.3 Storage System -- 3 Energy Management System -- 4 System Reliability Analysis -- 5 Conclusions and Future Works -- References -- Energy Management in a Connected DC Microgrid Using Fuzzy Controller -- 1 Introduction -- 2 Energy Management System (Control Strategies) -- 2.1 Rule-Based Management Strategies -- 2.2 Optimization-Based Strategies -- 3 Control and Simulation of a Hybrid Energy System (HES) -- 3.1 Energy Management Method -- 3.2 Control of HES - Management Strategy Based on Fuzzy Rules -- 3.3 Control of PV Panel, Wind Turbine and DC Bus Voltage -- 4 Results and Discussion -- 5 Conclusion -- References -- Case Studies and Cyber-Physical Systems 1 -- Approach for Optimisation Warehouse Storage Areas Based on the Container Storage Problem. 327 $a1 Introduction. 410 0$aCommunications in Computer and Information Science 606 $aComputers 615 0$aComputers. 676 $a929.605 702 $aHamlich$b Mohamed 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996503563203316 996 $aSmart Applications and Data Analysis$92263888 997 $aUNISA