10732nam 22004693 450 99658785980331620240308080228.03-031-52670-8(CKB)30597547300041(MiAaPQ)EBC31201063(Au-PeEL)EBL31201063(EXLCZ)993059754730004120240308d2024 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierDynamic Data Driven Applications Systems 4th International Conference, DDDAS 2022, Cambridge, MA, USA, October 6-10, 2022, Proceedings1st ed.Cham :Springer,2024.©2024.1 online resource (434 pages)Lecture Notes in Computer Science Series ;v.139843-031-52669-4 Intro -- Preface -- Organization -- Contents -- Introduction to the DDDAS2022 Conference -- Introduction to the DDDAS2022 Conference Infosymbiotics/Dynamic Data Driven Applications Systems -- 1 DDAS Developments -- 2 DDDAS Concept Review -- 3 DDDAS2022 Conference - Proceedings Outline -- 4 DDDAS2022 - Main Track Plenary Presentations Overview -- 4.1 Space Systems -- 4.2 Aerospace Systems -- 4.3 Networked Systems and Security -- 4.4 Deep Learning Systems -- 4.5 Estimation and Tracking -- 5 Summary Remarks -- References -- Main-Track Plenary Presentations - Aerospace -- Generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis -- 1 Introduction -- 2 Multifidelity Active Learning for Reliability Analysis -- 2.1 Multifidelity Active Learning Method Overview -- 2.2 Sample Location: EFF/AK-MCS/TIMSE -- 2.3 Information Source: Weighted Lookahead Information Gain -- 3 Numerical Experiment: Reliability Analysis of Acoustic Horn -- 4 Conclusions and Future Directions -- References -- Essential Properties of a Multimodal Hypersonic Object Detection and Tracking System -- 1 Introduction -- 2 Sensing Modalities for Hypersonic Detection -- 2.1 Radar -- 2.2 Thermal -- 3 Tracking -- 4 Iterative Sensor Operation in DDDAS System -- 5 Conclusion -- 6 Disclaimer -- References -- Dynamic Airspace Control via Spatial Network Morphing -- 1 Introduction -- 2 Background -- 3 Structured Airspace and Aircraft Trajectories -- 4 A DDDAS Approach to Multiple Aircraft Deconfliction -- 5 Experiments -- 6 Conclusion -- References -- On Formal Verification of Data-Driven Flight Awareness: Leveraging the Cramér-Rao Lower Bound of Stochastic Functional Time Series Models -- 1 Introduction -- 2 Functionally Pooled Time Series Models -- 2.1 CRLB Formulation for VFP-AR Models -- 3 Machine-Checked Proof of the CRLB Theorem.4 Experimental Results and Discussion -- 5 Conclusions -- References -- Coupled Sensor Configuration and Path-Planning in a Multimodal Threat Field -- 1 Introduction -- 2 Problem Formulation -- 3 Multimodal Field Estimation -- 4 Coupled Sensor Configuration -- 5 Results and Discussion -- 5.1 Demonstrative Example -- 6 Conclusion -- References -- Main-Track Plenary Presentations - Space Systems -- Geometric Solution to Probabilistic Admissible Region Based Track Initialization -- 1 Introduction -- 2 Geometric Solution to Probabilistic Admissible Region -- 2.1 Probabilistic Admissible Region -- 2.2 G-PAR Algorithm -- 3 G-PAR for Short-Arc Radar Observations -- 3.1 Initialization: G-PAR MC Particle Cloud -- 4 G-PAR for Angles-Only, Short-Arc, Telescope Observation -- 4.1 Initialization: G-PAR MC Particle Cloud -- 5 Conclusion -- References -- Radar Cross-Section Modeling of Space Debris -- 1 Introduction -- 2 Mie Scattering Modeling Motivation -- 3 Bistatic Radar Characteristics and RCS -- 3.1 Forward Scatter Geometry -- 3.2 Radar Cross Section (RCS) -- 3.3 Velocity-Induced Doppler Shift -- 3.4 Rotation-Induced Micro-doppler Shift -- 4 Simulation Results -- 4.1 RCS vs. Silhouette Area -- 4.2 Translation (Velocity-Induced) Doppler Shift -- 4.3 Translation-Doppler-Shifted RCS -- 4.4 Micro-doppler (Rotation-Induced) Shift -- 4.5 Translation- and Rotation-Shifted RCS -- 5 Conclusions -- References -- High-Resolution Imaging Satellite Constellation -- 1 Introduction -- 2 Model of Satellite Constellation Imaging -- 3 Imaging Algorithm and Resolution -- 4 Simulation Results -- 5 Conclusions -- References -- Main-Track Plenary Presentations - Network Systems -- Reachability Analysis to Track Non-cooperative Satellite in Cislunar Regime -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Limits of the Method -- 5 Conclusions -- References.Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognition -- 1 Introduction -- 2 Physics-Based Models for μD Signature Synthesis -- 3 Adversarial Learning-Based μD Signature Synthesis -- 4 Physics-Aware GAN Design -- 5 Conclusion -- References -- DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks -- 1 Introduction -- 2 Background of 5G and 6G Technologies -- 3 DDDAS for 5G Network Design and Optimization -- 3.1 Case Study I: Transmission of Multimedia Content to Mobile Wireless Users -- 3.2 Case Study II: Collaborative Microgrids -- 4 Conclusion -- References -- Plenary Presentations - Systems Support Methods -- DDDAS-Based Learning for Edge Computing at 5G and Beyond 5G -- 1 Introduction -- 2 Proposed Joint Optimization Approach -- 2.1 Task Scheduling and Offloading (TSO) -- 2.2 Microgrid Operational Planning -- 3 Simulation Results and Analysis -- 4 Conclusion -- References -- Monitoring and Secure Communications for Small Modular Reactors -- 1 Introduction -- 2 Model Development and Results -- 2.1 Liquid Sodium Vessel Monitoring Using LSTM Models -- 2.2 Secure Communications Using BB84 and AES Protocols -- 3 Conclusions -- References -- Data Augmentation of High-Rate Dynamic Testing via a Physics-Informed GAN Approach -- 1 Introduction -- 2 Theory Background -- 2.1 Dataset and Preprocessing -- 2.2 Convolutional Variational Autoencoders (CVAE) -- 2.3 FEM Based Conditional Generative Adversarial Networks (cGAN) -- 2.4 Support Vector Machine (SVM) -- 3 Validation of Damage Classifications -- 3.1 Convolutional Variational Autoencoder (CVAE) -- 3.2 FEM Based Conditional Generative Adversarial Network -- 3.3 Classification Results -- 4 Conclusions -- References -- Unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction -- 1 Introduction -- 1.1 Overview.2 Wave-Informed Regression Methodology -- 2.1 Mean Squared Error Loss -- 2.2 Wave-Informed Loss -- 2.3 Mode Number Loss -- 2.4 Wave-Informed Regression -- 2.5 Wave-Informed Algorithm -- 3 Simulation Setup -- 4 Results -- 5 Conclusions -- References -- Passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning -- 1 Introduction -- 2 Frequency-Adaptive PIPS -- 3 Experiment and Results -- 3.1 Experimental Setup -- 3.2 Results and Evaluation -- 4 Discussion -- 5 Conclusion -- References -- Plenary Presentations - Deep Learning -- Deep Learning Approach for Data and Computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications -- 1 Introduction -- 2 Methodology -- 2.1 DDDAS -- 2.2 IP2CL -- 3 IP2CL Applications -- 3.1 IP2CL Applications in Semantic Segmentation -- 3.2 Patch-Based Damage Classification -- 4 Conclusion -- References -- SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Utilization -- 3.2 Neural Network Design -- 3.3 Acquisition Factor -- 4 Experiments and Results -- 4.1 Hyperparameters -- 4.2 Results -- 5 Conclusion -- References -- Multimodal IR and RF Based Sensor System for Real-Time Human Target Detection, Identification, and Geolocation -- 1 Introduction -- 2 System Architecture -- 2.1 RF Subsystem -- 2.2 IR Subsystem -- 2.3 Sensor System Integration -- 3 Experimental Results -- 4 Conclusion -- References -- Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations -- 1 Introduction -- 2 Related Work -- 2.1 Neural Ordinary Differential Equations -- 2.2 Interacting Systems -- 3 Methodology -- 3.1 Problem Formulation and Notation -- 3.2 ISODE -- 4 Experiments -- 5 Conclusion -- References.Relational Active Feature Elicitation for DDDAS -- 1 Introduction -- 2 Interactive Feature Elicitation for DDDAS -- 2.1 Preliminary Results -- 3 Conclusion -- References -- Explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins -- 1 Introduction -- 2 Background and Related Work -- 3 Motivating Example -- 4 A Reference Architecture for Explainable Digital Twins Leveraging DDDAS Principles -- 4.1 Explainable Decisions for Human-in-the-Loop Digital Twins -- 5 Discussion -- 5.1 Trade-Off Analysis -- 5.2 Architecture Evaluation -- 6 Conclusion -- References -- Plenary Presentations - Tracking -- Transmission Censoring and Information Fusion for Communication-Efficient Distributed Nonlinear Filtering -- 1 Introduction -- 2 Jeffreys Divergence Based Sensor Censoring -- 2.1 Jeffreys Divergence -- 2.2 Evaluation of Jeffreys Divergence -- 3 Estimation of Posterior PDFs via GMM -- 4 Fusion of Gaussian Mixtures -- 5 Numerical Results for a Radar Tracking Example -- 5.1 System Model -- 5.2 Performance Evaluation in a Two-Radar Network -- 6 Conclusion -- References -- Distributed Estimation of the Pelagic Scattering Layer Using a Buoyancy Controlled Robotic System -- 1 Introduction -- 2 Preliminary -- 2.1 Perron-Frobenius Operator -- 2.2 Ensemble Kalman Filter -- 3 Estimation of the Scattering Layer -- 4 Numerical Results -- 5 Conclusion -- References -- Towards a Data-Driven Bilinear Koopman Operator for Controlled Nonlinear Systems and Sensitivity Analysis -- 1 Introduction -- 2 Continuous Bilinear System Identification with Specialized Input -- 3 Numerical Simulations -- 3.1 Hovering Helicopter -- 3.2 Controlled Duffing Oscillator -- 4 Conclusion -- References -- Main-Track Plenary Presentations - Security -- Tracking Dynamic Gaussian Density with a Theoretically Optimal Sliding Window Approach -- 1 Introduction -- 2 Problem Formulation and Algorithm.3 Theoretical Result: Optimal Weight Sequence.Lecture Notes in Computer Science SeriesBlasch Erik986166Darema Frederica1427867Aved Alex1729901MiAaPQMiAaPQMiAaPQBOOK996587859803316Dynamic Data Driven Applications Systems4140125UNISA01336nam 22004093 450 991091859250332120241227080310.09783031770401(CKB)37078336700041(MiAaPQ)EBC31857804(Au-PeEL)EBL31857804(EXLCZ)993707833670004120241227d2025 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierSmart Applications and Data Analysis 5th International Conference, SADASC 2024, Tangier, Morocco, April 18-20, 2024, Proceedings, Part I1st ed.Cham :Springer,2025.©2024.1 online resource (296 pages)Communications in Computer and Information Science Series ;v.21679783031770395 Communications in Computer and Information Science SeriesHamlich Mohamed1780902Dornaika Fadi1780903Ordonez Carlos1780904Bellatreche Ladjel1449004Moutachaouik Hicham1780905MiAaPQMiAaPQMiAaPQ9910918592503321Smart Applications and Data Analysis4305503UNINA03867nam 22006495 450 991096820010332120201005035553.09780226086026022608602X9780226086163022608616X10.7208/9780226086163(CKB)2550000001167984(EBL)1573579(OCoLC)864899425(SSID)ssj0001059424(PQKBManifestationID)11593704(PQKBTitleCode)TC0001059424(PQKBWorkID)11079470(PQKB)10060306(StDuBDS)EDZ0000157052(MiAaPQ)EBC1573579(DE-B1597)523554(DE-B1597)9780226086163(PPN)179901133(Perlego)1840477(EXLCZ)99255000000116798420200424h20142013 fg engur|n|---|||||txtccrBitter Roots The Search for Healing Plants in Africa /Abena Dove Osseo-AsareChicago :University of Chicago Press,[2014]©20131 online resource (309 p.)Description based upon print version of record.9780226085524 022608552X 9781306180665 130618066X Includes bibliographical references and index.Frontmatter --CONTENTS --Introduction: From Plants to Pharmaceuticals --1. Take Madagascar Periwinkle for Leukemia and Pennywort for Leprosy --2. Take Grains of Paradise for Love --3. Take Arrow Poisons for the Heart --4. Take Bitter Roots for Malaria --5. Take Kalahari Hoodia for Hunger --Conclusion: Toward Bioprosperity --Acknowledgments --Persons Consulted --Notes --Bibliography --IndexFor over a century, plant specialists worldwide have sought to transform healing plants in African countries into pharmaceuticals. And for equally as long, conflicts over these medicinal plants have endured, from stolen recipes and toxic tonics to unfulfilled promises of laboratory equipment and usurped personal patents. In Bitter Roots, Abena Dove Osseo-Asare draws on publicly available records and extensive interviews with scientists and healers in Ghana, Madagascar, and South Africa to interpret how African scientists and healers, rural communities, and drug companies-including Pfizer, Bristol-Myers Squibb, and Unilever-have sought since the 1880s to develop drugs from Africa's medicinal plants. Osseo-Asare recalls the efforts to transform six plants into pharmaceuticals: rosy periwinkle, Asiatic pennywort, grains of paradise, Strophanthus, Cryptolepis, and Hoodia. Through the stories of each plant, she shows that herbal medicine and pharmaceutical chemistry have simultaneous and overlapping histories that cross geographic boundaries. At the same time, Osseo-Asare sheds new light on how various interests have tried to manage the rights to these healing plants and probes the challenges associated with assigning ownership to plants and their biochemical components. A fascinating examination of the history of medicine in colonial and postcolonial Africa, Bitter Roots will be indispensable for scholars of Africa; historians interested in medicine, biochemistry, and society; and policy makers concerned with drug access and patent rights.Materia medica, VegetableAfricaMedicinal plantsAfricaMateria medica, VegetableMedicinal plants615.3/21Osseo-Asare Abena Doveauthttp://id.loc.gov/vocabulary/relators/aut1807279DE-B1597DE-B1597BOOK9910968200103321Bitter Roots4356905UNINA