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[null,"1.","Record Nr.",null,"UNINA9910349541803321"]
[null,null,"Titolo",null,"Contributions to Location Analysis : In Honor of Zvi Drezner’s 75th Birthday / / edited by H. A. Eiselt, Vladimir Marianov"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019"]
[null,null,"ISBN",null,"3-030-19111-7"]
[null,null,"Edizione",null,"[1st ed. 2019.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 370 p. 49 illus., 22 illus. in color.)"]
[null,null,"Collana",null,"International Series in Operations Research & Management Science, , 2214-7934 ; ; 281"]
[null,null,"Disciplina",null,"338.9"]
[{"$nulls":4},"519.72"]
[null,null,"Soggetti",null,"Regional economics"]
[{"$nulls":4},"Spatial economics"]
[{"$nulls":4},"Operations research"]
[{"$nulls":4},"Regional and Spatial Economics"]
[{"$nulls":4},"Operations Research and Decision Theory"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1. My Career and Contributions -- Chapter 2. Understanding the Weber Location Paradigm -- Chapter 3. A general framework for local search applied to the continuous p-median problem -- Chapter 4. Big Triangle Small Triangle Method for the Weber Problem on the Sphere -- Chapter 5. Integer Location Problems -- Chapter 6. Continuous Location Problems -- Chapter 7. Voting for locating facilities: The wisdom of voters -- Chapter 8. Innovations in Statistical Analysis and Genetic Algorithms -- Chapter 9. Hub Location and Related Models -- Chapter 10. Gravity Models in Competitive Facility Location -- Chapter 11. Cover-Based Competitive Location Models -- Chapter 12. The Mean-Value-at-Risk Median Problem on a Network with Random Demand Weights -- Chapter 13. A Bivariate Exponential Distribution."]
[null,null,null,"Sommario/riassunto","This book is a volume in honor of Zvi Drezner’s 75th birthday. Professor Drezner is a leading scholar in location science. He received his BSc degree in Mathematics in 1965 and his PhD. in Computer Science ten years later, both from the Technion in Haifa, Israel. Since 1978 he has published in excess of 300 papers in refereed journals and books. He has received many honors, among them the University "]
[{"$nulls":4},"Outstanding Professor in 2005-6, the Outstanding Research Award (both from Cal State-Fullerton), the Location Analysis Lifetime Achievement Award from the Society for Location Analysis, and was named a Lifetime Fellow in INFORMS. Zvi has worked in a variety of fields, but most prominently in continuous location models. His main contributions include a 1982 paper on competitive location analysis, which was the first contribution to formally use the von Stackelberg “leader-follower” concept in the plane, contributions in 1989 (along with many others) on the Weber problem, and work with Oded Berman on the p-median under uncertainty in 2008. He has also enriched the literature by many contributions that devise genetic algorithms and tabu search techniques (both heuristic algorithms), as well as global optimization techniques, such as the “big-triangle-small-triangle” method, applied to location problems. The chapters of the book have been chosen to provide readers with a large variety of topics in the field of location science, which normally are available only in many different specialist journals. In addition to easily approachable surveys, the contributions, written by the top specialists in the field, present the latest results as well."]
[null,"2.","Record Nr.",null,"UNINA9910743396603321"]
[null,null,"Titolo",null,"Proceedings of 2021 Chinese Intelligent Systems Conference : Volume I / / edited by Yingmin Jia, Weicun Zhang, Yongling Fu, Zhiyuan Yu, Song Zheng"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"981-16-6327-0"]
[{"$nulls":4},"981-16-6328-9"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (909 pages)"]
[null,null,"Collana",null,"Lecture Notes in Electrical Engineering, , 1876-1119 ; ; 803"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Control engineering"]
[{"$nulls":4},"Robotics"]
[{"$nulls":4},"Automation"]
[{"$nulls":4},"Artificial intelligence"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Control, Robotics, Automation"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Contents -- Alzheimer's Disease Classification Based on Improved 3D Convolutional Neural Network -- 1 Introduction -- 2 Proposed Method -- 2.1 Data Acquisition -- 2.2 Data Preprocessing -- 2.3 3D Convolutional Neural Neteork -- 2.4 Improved VGG Structure Base on 3D CNN -- 3 Experimental and Evaluation -- 3.1 Experimental Setup -- 3.2 Results and Analysis -- 4 Conclusion -- References -- The Simulation Research of Multi-model Adaptive KF and Target Tracking -- 1 Fundamentals of Kalman Filter -- 1.1 The Background of KF -- 1.2 Mathematic Principles -- 1.3 Application -- 2 Adaptive Multi-model Algorithm -- 2.1 Backgrounds -- 2.2 Mathematical Equations -- 3 Simulation of Target Tracking -- 4 Conclusion -- References -- Research on the Design of Intelligent Network Bridge Based on CAN Bus -- 1 Introduction -- 2 Construct Data Forwarding Address Table -- 3 Network Segment and Node Number Allocation Algorithm -- 4 Self-learning Algorithm of Forwarding Address Table -- 5 Bridge Port Spanning Tree Algorithm -- References -- Global Finite-Time Output-"]
[{"$nulls":4},"Feedback Stabilization for Uncertain Nonlinear Systems with High-Order and Low-Order Nonlinearities via Dynamic Gain -- 1 Introduction -- 2 Preliminaries -- 3 Main Results -- 3.1 State Feedback Controller Design -- 3.2 Output Feedback Controller Design -- 4 Stability Analysis -- 5 Conclusion -- References -- Domestic Waste Sorting System Based on Deep Learning -- 1 Introduction -- 2 System Description -- 3 Convolutional Neural Network for Garbage Detection -- 3.1 Dataset -- 3.2 Data Augmentation -- 3.3 The CNN Model Design -- 3.4 Loss Function -- 4 Experimental Evaluation -- 4.1 Experimental Environment -- 4.2 Evaluation Metrics -- 4.3 Ablation Study -- 5 Conclusion -- References."]
[{"$nulls":4},"Deep Reinforcement Learning Based Online Parameter Tuning for Active Disturbance Rejection Control and Application in Ship Course Tracking -- 1 Introduction -- 2 Preliminaries -- 2.1 Ship Motion Model -- 2.2 Maximum Entropy Based Reinforcement Learning -- 2.3 Soft Policy Iteration -- 3 LADRC Parameter Tuning Based on SAC -- 3.1 Design of LADRC -- 3.2 Soft Actor-Critic Algorithm and Parameter Tuning -- 4 Simulation Results -- 4.1 Nominal Model -- 4.2 Compound Disturbance Model -- 5 Conclusions -- References -- Design of a Novel Electromechanical Flight Control Actuation System with Configurable Redundancy for UAVs -- 1 Introduction -- 2 System General Design -- 3 Design Details -- 3.1 Design of the ACE -- 3.2 Design of Actuators -- 3.3 Fault Monitoring -- 4 System Test Results and Considerations -- 5 Conclusions -- References -- A Note on Reaction-Diffusion Equations Derived from a PEPA Model -- 1 Introduction -- 2 Main Result and Proof -- 3 Numerical Results -- 4 Conclusions -- References -- Seizure Control by RBF Neural Network Based Active Disturbance Rejection Approach -- 1 Introduction -- 2 A Neural Mass Model -- 3 Radial Basis Function Neural Network Based Active Disturbance Rejection Control -- 3.1 Active Disturbance Rejection Control -- 3.2 Analysis of the Total Disturbance Estimation Error -- 3.3 Radial Basis Function Neural Network Based Active Disturbance Rejection Control Design -- 4 Simulations -- 4.1 Case I. Regulation Without Disturbance -- 4.2 Case II. Regulation with Sinusoidal Disturbance -- 5 Conclusions -- References -- Interactive Multi-model Kalman Filtering Algorithm Based on Target Tracking -- 1 Introduction -- 2 Algorithm Principle -- 2.1 Interactive Multi-model Kalman Filtering Algorithm -- 2.2 Algorithm Improvement Based on Interactive Multi-model -- 3 Experimental Verification Analysis."]
[{"$nulls":4},"3.1 Experiment 1: Complex Gesture Maneuver Tracking -- 3.2 Experiment 2: Gesture Target Motion Tracking on Dim Background -- 3.3 Experiment 3: Tracking with Occlusion of Moving Targets -- 4 Conclusion -- References -- Computational Simulations of the Structural Properties of Nanoparticle-Protein Systems -- 1 Introduction -- 2 Models and Methods -- 2.1 Model of Proteins and Nanoparticles -- 2.2 Molecular Dynamics Simulations -- 3 Results and Discussion -- 3.1 Phase Diagram of ARC and Hydrophobic NP -- 3.2 Changes of Secondary Structures -- 4 Conclusion -- References -- Monocular Visual Tracking of Tactical UAV for Moving Target -- 1 Introduction -- 2 Scene Description -- 3 Route Generation -- 4 Target Location -- 5 Simulation -- 6 Conclusion -- References -- Adaptive Control of Aerial Refueling Boom with Displacement and Orientation Constraints -- 1 Introduction -- 2 Problem Formulation -- 2.1 Model of Aerial Refueling Boom -- 2.2 Restrained Variable and Time-Varying Constraints -- 2.3 Control Objectives -- 3 Controller Design -- 4 Illustrative Example -- 5 Conclusions -- References -- Robust Finite-Time Stabilization of Uncertain Switched Systems via Sliding Mode Control -- 1 Introduction -- 2 System Description and Preliminaries -- 3 Linear Sliding Manifold "]
[{"$nulls":4},"and Controller Design -- 4 Reachability Analysis with T* Tf -- 5 FTS Analysis with [0,Tf] -- 5.1 FTS Analysis over Reaching Phase -- 5.2 FTS Analysis of Sliding Motion -- 6 Simulation Example -- 7 Conclusions -- References -- A Simulation Optimization Model for Cell Scheduling Considering Energy Consumption and Machine Breakdown -- 1 Introduction -- 2 Problem Formulation -- 2.1 Assumptions and Notations -- 2.2 The Integer Programming Model -- 3 Hybrid Algorithm Based on WPA and Simulation -- 4 Computational Experiments -- 5 Conclusions -- References."]
[{"$nulls":4},"The Mathematical Model and Influence Analysis of Transmission Clearance in Servo System -- 1 Introduction -- 2 Introduction of Drive Mechanism of Servo System and Analysis of Load State -- 3 Hysteresis Model of Transmission Clearance -- 4 Dead Zone Model of Transmission Clearance -- 5 Comparison of Two Models -- 6 Influence of Transmission Clearance on Servo System -- 7 Conclusion -- References -- Research on Two-Switch Flyback Auxiliary Power Supply Based on NCP1351B -- 1 Introduction -- 2 Circuit Principle -- 2.1 Basic Structure of Main Circuit -- 3 Small Signal Modeling and Compensation Network Design -- 3.1 Small Signal Modeling -- 3.2 Design of Compensation Network -- 4 Simulation Verification -- 5 Conclusion -- References -- Automatic Segmentation of Knee Meniscus Based on Magnetic Resonance Images -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Pre-processing -- 2.3 Model Training, Validation and Testing -- 2.4 Evaluation Indicators -- 3 Results -- 4 Conclusions and Discussions -- References -- Sparse Representation Algorithm Based on Block LBP and Adaptive Weighting -- 1 Introduction -- 2 Correlation Algorithm -- 2.1 Sparse Representation -- 2.2 Local Binary Pattern -- 2.3 Image Overlapping Block LBP Coding and Adaptive Weighting -- 3 Sparse Representation Classification Algorithm -- 4 Experiments -- 4.1 Face Database -- 4.2 Original Experimental Data and Experimental Results -- 5 Conclusion -- References -- Nonlinear Control Design of Aero-Engine Based on NGMV -- 1 Introduction -- 2 Model of Aero Engine and Fuel Actuator -- 2.1 Modeling of Numerical Control Fuel Metering Device Based on AMESim -- 3 Nonlinear Control Design Based on NGMV -- 3.1 Description of NGMV Control System -- 3.2 Design and Implementation of NGMV Controller -- 3.3 Comparison of PI and NGMV Controller Simulation -- 4 Conclusion -- References."]
[{"$nulls":4},"Industrial Internet Cloud Platform System Based on EMQX -- 1 Introduction -- 2 The System Design -- 2.1 Overall System Architecture -- 2.2 MQTT Communication Protocol -- 2.3 EMQX Server -- 2.4 Web Application -- 3 System Test Experiment -- 4 Conclusion -- References -- Design and Implementation of Program Online Upgrade Based on the TMS320F28004x DSP Series -- 1 Introduction -- 2 System Solutions -- 2.1 Architecture Design -- 2.2 Power-On Secondary Boot Design -- 3 Online Upgrade Implementation -- 3.1 Software Design in DSP -- 3.2 Software Design in Upper Computer -- 4 Experiment Verification -- References -- Research on Precision Distribution Method of the Antiaircraft Weapon Guidance System -- 1 Introduction -- 2 Error Source Influence Relation Analysis -- 3 Accuracy Index Allocation Process -- 4 Indicator Allocation Method -- 5 Accuracy Distribution and Monte Carlo Calculation Analysis -- 6 Conclusion -- References -- A Strong and Robust Guidance Handover for a Certain Type of Air Defense Missile Strategy Research -- 1 Introduction -- 2 Analysis of Factors Affecting Guidance Shift -- 3 Strong Robust Guidance Shift Design -- 3.1 Scheme Flow -- 3.2 Implementation of Scheme -- 4 Modeling and Mathematical Simulation Analysis -- 4.1 Guidance and Control System Loop -- 4.2 Simulation Analysis -- 5 Conclusion -- References -- An Efficient Nearest Point "]
[{"$nulls":4},"Projection Method Based on Improved Newton Iteration -- 1 Introduction -- 2 Related Work -- 2.1 The Nearest Distance Between the Point and the Curve -- 2.2 The Nearest Distance from the Point to the Surface -- 3 The Introduction of the Method -- 3.1 Preprocessing Algorithm -- 3.2 Culling Algorithm -- 3.3 Fast Convergence Algorithm -- 4 Application -- 4.1 Example Validation -- 4.2 Efficiency Comparison -- 5 Conclusion -- References."]
[{"$nulls":4},"Parameter Identification of Bidirectional Converter Based on Improved BPNN."]
[null,null,null,"Sommario/riassunto","This book presents the proceedings of the 17th Chinese Intelligent Systems Conference, held in Fuzhou, China, on Oct 16-17, 2021. It focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth study on a number of major topics such as Multi-Agent Systems, Complex Networks, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles and so on. The book is particularly suited for readers who are interested in learning intelligent system and control and artificial intelligence. The book can benefit researchers, engineers, and graduate students."]