11033nam 2200505 450 99646440150331620231110224402.03-030-69984-6(CKB)4950000000281576(MiAaPQ)EBC6785152(Au-PeEL)EBL6785152(OCoLC)1280672602(PPN)258298812(EXLCZ)99495000000028157620220712d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Parallel and Distributed Processing, and Applications Advances in parallel & distributed processing, and applications : proceedings from PDPTA'20, CSC'20, MSV'20, and GCC'20 /Hamid R. Arabnia [and six others], editorsCham, Switzerland :Springer,[2021]©20211 online resource (1201 pages)Transactions on computational science and computational intelligence3-030-69983-8 Intro -- Preface -- Scientific Computing -- CSC 2020 - Program Committee -- Parallel &amp -- Distributed Processing Techniques and Applications -- PDPTA 2020 - Program Committee -- Modeling, Simulation &amp -- Visualization Methods -- MSV 2020 - Program Committee -- Grid, Cloud, &amp -- Cluster Computing -- GCC 2020 - Program Committee -- Contents -- Part I Military and Defense Modeling and Simulation -- Julia and Singularity for High Performance Computing -- 1 Introduction -- 2 The Julia Programming Language -- 2.1 Just-in-Time Compilation -- 2.2 LLVM -- 2.3 Native GPU Support -- 3 Containerization -- 3.1 Differences Between Containers and Virtual Machines -- 3.2 Docker versus Singularity -- 3.3 Singularity and GPUs -- 4 Conclusion -- References -- Trojan Banker Simulation Utilizing Python -- 1 Introduction -- 2 Methodology -- 2.1 Methodology -- 3 Results -- 4 Conclusion -- References -- CovidLock Attack Simulation -- 1 Introduction -- 2 Background and Related Information -- 2.1 Ransomware in the States -- 2.2 Reaction Time -- 3 Overview of the Simulation -- 4 Simulation Methodology -- 5 Comparison to Other Mitigation Methods -- 6 Attack Example -- 7 Conclusion -- References -- The New Office Threat: A Simulation of Watering HoleCyberattacks -- 1 Introduction -- 2 Methodology -- 2.1 Results -- 2.2 Analysis -- 3 Conclusion -- 3.1 Future Research -- References -- Simulation of SYN Flood Attack and Counter-Attack Methods Using Average Connection Times -- 1 Introduction -- 2 Methodology -- 2.1 Results -- 3 Conclusion and Future Work -- References -- Part II Computational Intelligence, Data Science, HPC, Optimization and Applications -- Dielectric Polymer Genome: Integrating Valence-Aware Polarizable Reactive Force Fields and Machine Learning -- 1 Introduction -- 2 Method -- 2.1 Valance-Aware ReaxPQ (ReaxPQ-v) Model.2.2 Computational Framework and Dataset Generation -- 2.3 Machine-Learning Models -- 3 Results and Discussion -- 3.1 Training Dataset -- 3.2 Predictive Accuracy of Machine Learning -- 4 Conclusion -- References -- A Methodology to Boost Data Science in the Context of COVID-19 -- 1 Introduction -- 2 Literature Review -- 3 Proposing a Data Science Model -- 4 Using the Model -- 5 Conclusions -- References -- Shallow SqueezeNext Architecture Implementation on BlueBox2.0 -- 1 Introduction -- 2 BlueBox2.0 Development Platform -- 2.1 Vision Processor (S32V234) -- 2.2 LS-2084A -- 2.3 Real-Time Multisensors Applications (RTMaps) -- 3 Shallow SqueezeNext Architecture -- 4 Shallow SqueezeNext Deployment -- 5 Results -- 5.1 Shallow SqueezeNext Results -- 5.2 BlueBox2.0 Implementation Results -- 6 Conclusion -- References -- Dark Data: Managing Cybersecurity Challenges and Generating Benefits -- 1 Background -- 2 Introduction -- 3 Collection of Dark Data -- 3.1 Dark and Unstructured Data -- 3.2 Dark Data as a Treasure -- 4 Dark Data Risks -- 4.1 Data Challenges with Dark Data -- 4.2 Turn Dark Data into Active Revenues -- 4.3 Make Dark Data to Work -- 5 Recommendations -- 5.1 Analyzing -- 5.2 Benefits of Analyzing Dark Data -- 5.3 Cybersecurity Monitoring -- 5.4 Analytics Technologies -- 6 Methodology -- 6.1 Dark Data User Activities -- 6.1.1 Using Security Log as an Auditing Tool -- 7 Conclusion -- References -- Implementing Modern Security Solutions for Challenges Faced by Businesses in the Internet of Things (IoT) -- 1 Background -- 2 Introduction -- 2.1 IoT Management -- 3 Challenges -- 3.1 Privacy -- 3.2 Security -- 3.3 Limitations -- 3.4 Connectivity -- 3.5 Requirements -- 3.6 Data Storage -- 3.7 Network -- 3.8 Maintenance -- 4 Recommendations -- 4.1 Risk Assessment -- 4.2 Monitoring -- 4.3 Add Security -- 4.4 Cloud and Gateway Architectures.5 Methodologies -- 5.1 Segmenting Networks -- 5.2 Secure Hardware -- 5.3 VPN -- 5.4 Virtual Local Area Networks (VLANs) -- 6 Conclusion -- References -- Trusted Reviews: Applying Blockchain Technology to Achieve Trusted Reviewing System -- 1 Introduction -- 2 Literature Review -- 2.1 Reviews and Reputation Systems -- 2.2 Applying Blockchain in Reputation System -- 3 Methodology -- 3.1 Trusted Reviews Model -- 3.2 Data Collection -- 4 System Analysis Results -- 4.1 Quantitative Data Analysis -- 4.2 System Requirements -- 4.3 System Design -- 5 Implementation -- 5.1 Code Snippets -- 5.2 Conclusion and Future Studies -- References -- Large-Scale Parallelization of Lattice QCD on Sunway TaihuLight Supercomputer -- 1 Introduction -- 1.1 Lattice Quantum Chromodynamics -- 1.2 SW26010 Heterogeneous Many-Core Processor -- 1.3 Overview of the Paper -- 2 Lattice QCD Calculation Theory -- 3 Innovations Realized -- 3.1 Data Allocation of CPEs -- 3.2 Parallelization Method Based on Multiple Core Groups -- 3.3 Algorithms and Pseudocodes -- 4 Large-Scale Parallel Experiments and Analysis -- 4.1 Experiment Environments -- 4.2 Experiments, Results, and Analysis -- 5 Conclusions -- References -- Part III Scientific Computing, Modeling and Simulation -- Reverse Threat Modeling: A Systematic Threat Identification Method for Deployed Vehicles -- 1 Introduction -- 2 Background -- 2.1 Threat Analysis and Risk Assessment (TARA) -- 3 Related Work -- 3.1 TARA Methods -- 4 Approach -- 5 Example -- 6 Conclusion -- References -- PRNG-Broker: A High-Performance Broker to Supply Parallel Streams of Pseudorandom Numbers for Large-Scale Simulations -- 1 Introduction -- 2 Random Number Generation -- 2.1 Popular PRNG Algorithms -- 2.2 Transforming Uniformly Distributed PRNs -- 2.3 PRNG Libraries -- 3 The PRNG-Broker -- 3.1 Core of the Broker -- 3.2 Hardware-Aware PRN Generation.3.3 Libraries and the PRNG-Broker API -- 4 Scientific Data Analyses -- 5 Results and Discussion -- 5.1 Test Beds and Associated Case Studies -- 5.2 Performance of the Case Studies with the PRNG-Broker -- 5.3 Comparative Performance on Different Servers -- 6 Conclusions and Future Work -- References -- Numerical Modeling of a Viscous Incompressible Fluid Flow in a Channel with a Step -- 1 Introduction -- 2 Mathematical Problem -- 3 The Difference Schemes -- 4 Comparison of Results -- 4.1 Effect of Step Height on the Flow -- 5 Conclusion -- References -- Modeling, Simulation, and Verification for Structural Stability and Vibration Reduction of Gantry Robots for Shipyard Welding Automation Using ANSYS Workbench® and Recurdyn® -- 1 Introduction -- 2 Modeling of Three-Axes Cartesian Gantry Robot -- 3 Structural Stability Simulation of Gantry Robot -- 4 Verification for Vibration Reduction of Gantry Robots -- 5 Conclusion -- References -- Long Short-Term Memory Neural Network on the Trajectory Computing of Direct Dynamics Simulation -- 1 Introduction -- 2 Methodology -- 2.1 Prediction-Correction Algorith -- 2.2 Long Short-Term Memory -- 2.3 Model -- 3 Experimental Results -- 4 Conclusion and Future Work -- 5 Acknowledgment -- References -- Evaluating the Effect of Compensators and Load Model on Performance of Renewable and Nonrenewable DGs -- 1 Introduction -- 2 Problem Description -- 2.1 Distributed Generation -- 2.2 Compensators -- 2.3 Load Model of Network -- 2.4 Objective Functions -- 2.5 Technical Index -- 2.6 Economic Index -- 2.7 Environmental Index -- 2.8 Optimization Method -- 2.9 Numerical Results -- 3 Conclusion -- References -- The Caloric Curve of Polymers from the Adaptive Tempering Monte Carlo Method -- 1 Introduction -- 2 Methods -- 3 Results -- 3.1 Parallelization Protocol for the PPy Condensed Phase Analysis.3.2 PPy Thermodynamic Properties -- 4 Conclusion -- References -- Part IV Scientific Computing, Computational Science, and Applications -- A New Technique of Invariant Statistical Embedding and Averaging in Terms of Pivots for Improvement of Statistical Decisions Under Parametric Uncertainty -- 1 Introduction -- 2 Preliminaries -- 3 Technique of Invariant Statistical Embedding and Averaging in Terms of Pivotal Quantities (ISE&amp -- APQ) -- 4 Comparison of Statistical Decision Rules -- 5 Example 1 (Quantile Estimation) -- 6 Characterization of Uniformly Non-dominated Decision Rules -- 7 Example 2 (Constructing Shortest-Length Confidence Intervals) -- 8 Example 3 (Constructing Within-Sample Prediction Limits) -- 9 Conclusion -- References -- A Note on the Sensitivity of Generic Approximate Sparse Pseudoinverse Matrix for Solving Linear Least Squares Problems -- 1 Introduction -- 2 Explicit Preconditioned Conjugate Gradient Least Squares Method -- 3 Generic Approximate Sparse Pseudoinverse Scheme -- 4 On Theoretical Estimates for the Sensitivity of the Generic Sparse Approximate Pseudoinverse Matrix -- 5 Numerical Results -- 6 Conclusion -- References -- Undergraduate Research: Bladerunner -- 1 Introduction -- 2 Summary -- 3 Software -- 4 Results (Table 1) -- 4.1 Programming Results -- 5 Conclusion -- Comparison of the IaaS Security Available from the Top Three Cloud Providers -- 1 Introduction -- 2 Related Work -- 3 Background on Security Threats -- 4 Problem Statement and Discussion -- 4.1 Problem 1: Agile Programming -- 4.2 Problem 2: Security Training for Employees -- 4.3 Problem 3: Security Support for Cloud IaaS -- 5 Evaluation -- 5.1 Data Center Locality -- 5.2 Uptime/Availability of Platform -- 5.3 Encryption at Rest -- 5.4 Encryption in Transit -- 5.5 Security Common to Top Three Cloud Platforms -- 6 Recommendations.6.1 Use Multiple Cloud Providers.Transactions on Computational Science and Computational Intelligence Advances in parallel and distributed processing, and applicationsParallel processing (Electronic computers)CongressesParallel processing (Electronic computers)004.35Arabnia Hamid R.MiAaPQMiAaPQMiAaPQBOOK996464401503316Advances in Parallel and Distributed Processing, and Applications2900136UNISA01081nam0 22002771i 450 UON0048899220231205105323.92720180606d1969 |0itac50 baitaIT|||| |||||ˆUna ‰storia ingarbugliatadi Lewis Carroll[traduzione di Duccio Valori]RomaAstrolabio1969102 p.19 cm.LOGICA MATEMATICAUONC040767FIITRomaUONL000004511.3Principi generali. Logica matematica(Logica simbolica)20CarrolLewisUONV108634489244VALORIDuccioUONV239478AstrolabioUONV246838650ITSOL20251205RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEO E ARCHIVIO STORICOUONSIUON00488992SIBA - SISTEMA BIBLIOTECARIO DI ATENEO E ARCHIVIO STORICOSI FS 07338 SI FP 14339/a 5 Storia ingarbugliata4459589UNIOR