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Citizen in Sensor Networks [[electronic resource] ] : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Citizen in Sensor Networks [[electronic resource] ] : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (IX, 109 p. 33 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Intel·ligència artificial
Sistemes multiagent
Interfícies d'usuari (Sistemes d'ordinadors)
Xarxes de sensors
Artificial intelligence
Data mining
Information storage and retrieval
Application software
User interfaces (Computer systems)
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Computer Applications
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-04178-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trajectory Mining -- Actions in Context: System for people with Dementia -- Transportation planning based on GSM traces: a case study on Ivory Coast -- From Tweets to Semantic Trajectories: mining Anomalous Urban Mobility Patterns -- Transportation Networks -- Crowdsensing Simulation Using ns-3 -- On the Use of Social Trajectory-based Clustering Methods for Public Transport Optimization -- Migration Movements -- Tracking Human Migration From Online Attention -- Data Anonymization -- Beyond Multivariate Microaggregation for Large Record Anonymization.
Record Nr. UNISA-996198766703316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Citizen in Sensor Networks : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Citizen in Sensor Networks : Second International Workshop, CitiSens 2013, Barcelona, Spain, September 19, 2013, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (IX, 109 p. 33 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Intel·ligència artificial
Sistemes multiagent
Interfícies d'usuari (Sistemes d'ordinadors)
Xarxes de sensors
Artificial intelligence
Data mining
Information storage and retrieval
Application software
User interfaces (Computer systems)
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Computer Applications
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-04178-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Trajectory Mining -- Actions in Context: System for people with Dementia -- Transportation planning based on GSM traces: a case study on Ivory Coast -- From Tweets to Semantic Trajectories: mining Anomalous Urban Mobility Patterns -- Transportation Networks -- Crowdsensing Simulation Using ns-3 -- On the Use of Social Trajectory-based Clustering Methods for Public Transport Optimization -- Migration Movements -- Tracking Human Migration From Online Attention -- Data Anonymization -- Beyond Multivariate Microaggregation for Large Record Anonymization.
Record Nr. UNINA-9910484501103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Citizen in Sensor Networks [[electronic resource] ] : First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Citizen in Sensor Networks [[electronic resource] ] : First International Workshop, CitiSens 2012, Montpellier, France, August 27, 2012, Revised Selected Papers / / edited by Jordi Nin, Daniel Villatoro
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (VIII, 95 p. 35 illus.)
Disciplina 681.2
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Intel·ligència artificial
Sistemes multiagent
Xarxes de sensors
Artificial intelligence
Data mining
Information storage and retrieval
Application software
User interfaces (Computer systems)
Artificial Intelligence
Data Mining and Knowledge Discovery
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
User Interfaces and Human Computer Interaction
Computer Applications
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-642-36074-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Citizens Sensor Networks.- Crowdsourcing for Industrial Problems -- Multiagent Co-ordination of Wireless Sensor Networks.- On the Protection of Social Network-Extracted Categorical Microdata.- The TweetBeat of the City: Microblogging Used for Discovering Behavioural Patterns during the MWC2012.- A Platform for Citizen Sensing in Sentient Cities.- Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.- Users as Smart Sensors: A Mobile Platform for Sensing Public Transport Incidents -- Crowdsourcing for Industrial Problems -- Multiagent Co-ordination of Wireless Sensor Networks.- On the Protection of Social Network-Extracted Categorical Microdata.- The TweetBeat of the City: Microblogging Used for Discovering Behavioural Patterns during the MWC2012.- A Platform for Citizen Sensing in Sentient Cities.- Incorporating Mobility Patterns in Pedestrian Quantity Estimation and Sensor Placement.- Users as Smart Sensors: A Mobile Platform for Sensing Public Transport Incidents. .
Record Nr. UNISA-996465978003316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao
Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao
Autore Zhai Chao
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (151 pages)
Disciplina 621.811
Collana Studies in Systems, Decision and Control
Soggetto topico Sistemes multiagent
Multibody systems - Mathematical models
Multibody systems - Computer programs
Soggetto genere / forma Llibres electrònics
ISBN 981-16-7625-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms and Notation -- Acronyms -- Notation -- 1 Introduction to Multi-agent Cooperative Coverage Control -- 1.1 Background -- 1.2 State of the Art -- 1.3 Outline of the Book -- References -- 2 Distributed Control Scheme for Online Workload Partition -- 2.1 Introduction -- 2.2 Problem Statement -- 2.3 Theoretical Analysis -- 2.4 Simulation Results -- 2.5 Conclusions -- References -- 3 Decentralized Cooperative Sweep Coverage Algorithm in Uncertain Environments -- 3.1 Introduction -- 3.2 Formulation and Coverage Algorithm -- 3.3 Technical Analysis -- 3.3.1 Key Lemmas -- 3.3.2 Main Results -- 3.4 Simulation Results -- 3.5 Conclusions -- References -- 4 Adaptive Cooperative Coverage Algorithm with Online Learning Strategies -- 4.1 Introduction -- 4.2 Problem Formulation -- 4.3 Technical Analysis -- 4.4 Conclusions -- References -- 5 Distributed Sweep Coverage Algorithm Using Workload Memory -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Key Lemmas -- 5.4 Stability Analysis -- 5.5 Numerical Simulations -- 5.6 Conclusions -- References -- 6 Cooperative Sweep Coverage Algorithm of Discrete Time Multi-agent Systems -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Main Results -- 6.4 Simulations -- 6.5 Conclusions -- References -- 7 Coverage-Based Cooperative Interception Against Supersonic Flight Vehicles -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 Main Results -- 7.4 Numerical Simulation -- 7.5 Conclusions -- References -- 8 Coverage-Based Cooperative Routing Algorithm for Unmanned Ground Vehicles -- 8.1 Introduction -- 8.2 Basic Idea -- 8.3 Routing Algorithm -- 8.4 Simulation Results -- 8.5 Conclusions -- References -- 9 Cooperative Coverage Control of Wireless Sensor Networks for Environment Monitoring -- 9.1 Introduction -- 9.2 Problem Statement -- 9.3 Main Results.
9.3.1 Coverage Region Without Obstacles -- 9.3.2 Coverage Region with Obstacles -- 9.4 Numerical Simulation -- 9.5 Conclusions -- References -- 10 Summary and Future Work -- 10.1 Summary -- 10.2 Future Work -- Appendix Mathematical Concepts -- A.1 Algebraic Graph Theory -- A.2 Input-to-State Stability -- References.
Record Nr. UNISA-996466558403316
Zhai Chao  
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao
Cooperative coverage control of multi-agent systems and its applications / / Chao Zhai, Hai-Tao Zhang and Gaoxi Xiao
Autore Zhai Chao
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (151 pages)
Disciplina 621.811
Collana Studies in Systems, Decision and Control
Soggetto topico Sistemes multiagent
Multibody systems - Mathematical models
Multibody systems - Computer programs
Soggetto genere / forma Llibres electrònics
ISBN 981-16-7625-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Acknowledgements -- Contents -- Acronyms and Notation -- Acronyms -- Notation -- 1 Introduction to Multi-agent Cooperative Coverage Control -- 1.1 Background -- 1.2 State of the Art -- 1.3 Outline of the Book -- References -- 2 Distributed Control Scheme for Online Workload Partition -- 2.1 Introduction -- 2.2 Problem Statement -- 2.3 Theoretical Analysis -- 2.4 Simulation Results -- 2.5 Conclusions -- References -- 3 Decentralized Cooperative Sweep Coverage Algorithm in Uncertain Environments -- 3.1 Introduction -- 3.2 Formulation and Coverage Algorithm -- 3.3 Technical Analysis -- 3.3.1 Key Lemmas -- 3.3.2 Main Results -- 3.4 Simulation Results -- 3.5 Conclusions -- References -- 4 Adaptive Cooperative Coverage Algorithm with Online Learning Strategies -- 4.1 Introduction -- 4.2 Problem Formulation -- 4.3 Technical Analysis -- 4.4 Conclusions -- References -- 5 Distributed Sweep Coverage Algorithm Using Workload Memory -- 5.1 Introduction -- 5.2 Problem Formulation -- 5.3 Key Lemmas -- 5.4 Stability Analysis -- 5.5 Numerical Simulations -- 5.6 Conclusions -- References -- 6 Cooperative Sweep Coverage Algorithm of Discrete Time Multi-agent Systems -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Main Results -- 6.4 Simulations -- 6.5 Conclusions -- References -- 7 Coverage-Based Cooperative Interception Against Supersonic Flight Vehicles -- 7.1 Introduction -- 7.2 Problem Formulation -- 7.3 Main Results -- 7.4 Numerical Simulation -- 7.5 Conclusions -- References -- 8 Coverage-Based Cooperative Routing Algorithm for Unmanned Ground Vehicles -- 8.1 Introduction -- 8.2 Basic Idea -- 8.3 Routing Algorithm -- 8.4 Simulation Results -- 8.5 Conclusions -- References -- 9 Cooperative Coverage Control of Wireless Sensor Networks for Environment Monitoring -- 9.1 Introduction -- 9.2 Problem Statement -- 9.3 Main Results.
9.3.1 Coverage Region Without Obstacles -- 9.3.2 Coverage Region with Obstacles -- 9.4 Numerical Simulation -- 9.5 Conclusions -- References -- 10 Summary and Future Work -- 10.1 Summary -- 10.2 Future Work -- Appendix Mathematical Concepts -- A.1 Algebraic Graph Theory -- A.2 Input-to-State Stability -- References.
Record Nr. UNINA-9910512164303321
Zhai Chao  
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
Autore Bär Schirin
Pubbl/distr/stampa Wiesbaden : , : Springer Vieweg, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 670.285
Soggetto topico Flexible manufacturing systems
Reinforcement learning
Aprenentatge per reforç (Intel·ligència artificial)
Sistemes multiagent
Sistemes de producció flexibles
Soggetto genere / forma Llibres electrònics
ISBN 9783658391799
9783658391782
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Danksagung -- Abstract -- Zusammenfassung -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Goals -- 1.2 Methodology -- 1.3 Structure of the Thesis -- 2 Requirements for Production Scheduling in Flexible Manufacturing -- 2.1 Foundations of Flexible Job-Shop Scheduling Problems -- 2.2 Requirement Analysis of Flexible Scheduling Solutions -- 2.2.1 Influences on Warehouse Control Systems -- 2.2.2 Influences on Manufacturing Control Systems -- 2.2.3 Derived and Ranked Requirements -- 2.3 State of the Art: Approaches to Solve Job-Shop Scheduling Problems -- 2.3.1 Conventional Scheduling Solutions -- 2.3.2 Reinforcement Learning Scheduling Solutions -- 2.4 Identification of the Research Gap -- 2.5 Contribution of this Work: Extended Flexible Job-Shop Scheduling Problem -- 3 Reinforcement Learning as an Approach for Flexible Scheduling -- 3.1 Understanding the Foundations: Formalization as a Markov Decision Process -- 3.1.1 Agent-Environment Interaction -- 3.1.2 Policies and Value Functions -- 3.1.3 Challenges Arising in Reinforcement Learning -- 3.2 Deep Q-Learning -- 3.2.1 Temporal Difference Learning and Q-Learning -- 3.2.2 Deep Q-Network -- 3.2.3 Loss Optimization -- 3.3 State of the Art: Cooperating Agents to Solve Complex Problems -- 3.3.1 Multi-Agent Learning Methods -- 3.3.2 Learning in Cooperative Multi-Agent RL Setups -- 3.4 Summary -- 4 Concept for Multi-Resources Flexible Job-Shop Scheduling -- 4.1 Concept for Agent-based Scheduling in FMS -- 4.1.1 Overall Concept -- 4.1.2 Job Specification -- 4.1.3 Petri Net Simulation -- 4.2 Formalization as a Markov Decision Process -- 4.2.1 Action Designs -- 4.2.2 State Designs -- 4.2.3 Reward Design -- 4.3 Considered Flexible Manufacturing System -- 4.4 Evaluation of the Technical Functionalities -- 4.5 Summary.
5 Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing -- 5.1 Training Set-up -- 5.2 Specification of the Reward Design -- 5.3 Evaluation of Suitable Training Strategies -- 5.3.1 Evaluation of MARL Algorithms -- 5.3.2 Selection of MARL Learning Methods -- 5.3.3 Evaluation of Parameter Sharing and Centralized Learning -- 5.4 Training Approach to Present Situations -- 5.5 Summary -- 6 Empirical Evaluation of the Requirements -- 6.1 Generalization to Various Products and Machines -- 6.2 Achieving the Global Objective -- 6.2.1 Comparison of Dense and Sparse Global Rewards -- 6.2.2 Cooperative Behavior -- 6.3 Benchmarking against Heuristic Search Algorithms -- 6.3.1 Evaluation for Unknown and Known Situations -- 6.3.2 Evaluation of Real-time Decision-Making -- 6.4 Consolidated Requirements Evaluation -- 6.5 Summary -- 7 Integration into a Flexible Manufacturing System -- 7.1 Acceptance Criteria for the Integration Concept -- 7.2 Integration Concept of MARL Scheduling Solution -- 7.2.1 Integration in the MES -- 7.2.2 Information Exchange -- 7.3 Design Cycle -- 7.3.1 Functioning Scheduling -- 7.3.2 Efficient Production Flow -- 7.3.3 Handling of Unforeseen Events -- 7.3.4 Handling of New Machine Skills -- 7.3.5 Handling of New Machines -- 7.4 Summary -- 8 Critical Discussion and Outlook -- 9 Summary -- 1 Bibliography.
Record Nr. UNINA-9910616202703321
Bär Schirin  
Wiesbaden : , : Springer Vieweg, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
Generic multi-agent reinforcement learning approach for flexible job-shop scheduling / / Schirin Bär
Autore Bär Schirin
Pubbl/distr/stampa Wiesbaden : , : Springer Vieweg, , [2022]
Descrizione fisica 1 online resource (163 pages)
Disciplina 670.285
Soggetto topico Flexible manufacturing systems
Reinforcement learning
Aprenentatge per reforç (Intel·ligència artificial)
Sistemes multiagent
Sistemes de producció flexibles
Soggetto genere / forma Llibres electrònics
ISBN 9783658391799
9783658391782
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Danksagung -- Abstract -- Zusammenfassung -- Contents -- Abbreviations -- List of Figures -- List of Tables -- 1 Introduction -- 1.1 Research Goals -- 1.2 Methodology -- 1.3 Structure of the Thesis -- 2 Requirements for Production Scheduling in Flexible Manufacturing -- 2.1 Foundations of Flexible Job-Shop Scheduling Problems -- 2.2 Requirement Analysis of Flexible Scheduling Solutions -- 2.2.1 Influences on Warehouse Control Systems -- 2.2.2 Influences on Manufacturing Control Systems -- 2.2.3 Derived and Ranked Requirements -- 2.3 State of the Art: Approaches to Solve Job-Shop Scheduling Problems -- 2.3.1 Conventional Scheduling Solutions -- 2.3.2 Reinforcement Learning Scheduling Solutions -- 2.4 Identification of the Research Gap -- 2.5 Contribution of this Work: Extended Flexible Job-Shop Scheduling Problem -- 3 Reinforcement Learning as an Approach for Flexible Scheduling -- 3.1 Understanding the Foundations: Formalization as a Markov Decision Process -- 3.1.1 Agent-Environment Interaction -- 3.1.2 Policies and Value Functions -- 3.1.3 Challenges Arising in Reinforcement Learning -- 3.2 Deep Q-Learning -- 3.2.1 Temporal Difference Learning and Q-Learning -- 3.2.2 Deep Q-Network -- 3.2.3 Loss Optimization -- 3.3 State of the Art: Cooperating Agents to Solve Complex Problems -- 3.3.1 Multi-Agent Learning Methods -- 3.3.2 Learning in Cooperative Multi-Agent RL Setups -- 3.4 Summary -- 4 Concept for Multi-Resources Flexible Job-Shop Scheduling -- 4.1 Concept for Agent-based Scheduling in FMS -- 4.1.1 Overall Concept -- 4.1.2 Job Specification -- 4.1.3 Petri Net Simulation -- 4.2 Formalization as a Markov Decision Process -- 4.2.1 Action Designs -- 4.2.2 State Designs -- 4.2.3 Reward Design -- 4.3 Considered Flexible Manufacturing System -- 4.4 Evaluation of the Technical Functionalities -- 4.5 Summary.
5 Multi-Agent Approach for Reactive Scheduling in Flexible Manufacturing -- 5.1 Training Set-up -- 5.2 Specification of the Reward Design -- 5.3 Evaluation of Suitable Training Strategies -- 5.3.1 Evaluation of MARL Algorithms -- 5.3.2 Selection of MARL Learning Methods -- 5.3.3 Evaluation of Parameter Sharing and Centralized Learning -- 5.4 Training Approach to Present Situations -- 5.5 Summary -- 6 Empirical Evaluation of the Requirements -- 6.1 Generalization to Various Products and Machines -- 6.2 Achieving the Global Objective -- 6.2.1 Comparison of Dense and Sparse Global Rewards -- 6.2.2 Cooperative Behavior -- 6.3 Benchmarking against Heuristic Search Algorithms -- 6.3.1 Evaluation for Unknown and Known Situations -- 6.3.2 Evaluation of Real-time Decision-Making -- 6.4 Consolidated Requirements Evaluation -- 6.5 Summary -- 7 Integration into a Flexible Manufacturing System -- 7.1 Acceptance Criteria for the Integration Concept -- 7.2 Integration Concept of MARL Scheduling Solution -- 7.2.1 Integration in the MES -- 7.2.2 Information Exchange -- 7.3 Design Cycle -- 7.3.1 Functioning Scheduling -- 7.3.2 Efficient Production Flow -- 7.3.3 Handling of Unforeseen Events -- 7.3.4 Handling of New Machine Skills -- 7.3.5 Handling of New Machines -- 7.4 Summary -- 8 Critical Discussion and Outlook -- 9 Summary -- 1 Bibliography.
Record Nr. UNISA-996495171403316
Bär Schirin  
Wiesbaden : , : Springer Vieweg, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA LATIN AMERICA 2021 / / edited by Damien Trentesaux, Theodor Borangiu, Paulo Leitão, Jose-Fernando Jimenez, Jairo R. Montoya-Torres
Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future : Proceedings of SOHOMA LATIN AMERICA 2021 / / edited by Damien Trentesaux, Theodor Borangiu, Paulo Leitão, Jose-Fernando Jimenez, Jairo R. Montoya-Torres
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (XVII, 358 p. 149 illus., 92 illus. in color.)
Disciplina 006.3
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Industrial engineering
Production engineering
Multiagent systems
Computational Intelligence
Industrial and Production Engineering
Multiagent Systems
Sistemes multiagent
Intel·ligència computacional
Enginyeria de producció
Enginyeria industrial
Soggetto genere / forma Llibres electrònics
ISBN 3-030-80906-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part 1: Smart Production Control for Industry 4.0 -- Development of a Predictive Process Monitoring Methodology in a Self-organized Manufacturing System -- A GEMMA-based Decentralized Architecture for Smart Production Systems -- A Hybrid Control Architecture for an Automated Storage and Retrieval System -- Digital Twin in Water Supply Systems to Industry 4.0: The Holonic Production Unit -- Part 2: Digital Twins and Artificial Intelligence Applied in Industry and Ser-vices -- Artificial Data Generation with Language Models for Imbalanced Classification in Maintenance -- Machine Vision for Collaborative Robotics Using Synthetic Data-Driven Learning -- A Survey on Components of AR Interfaces to Aid Packing Operation -- Airline Workforce Scheduling Based on Multi-Agent Systems -- Part 3: Digitalization of Design and Planning Activities -- A Novel Analysis Framework of 4.0 Production Planning Approaches - Part I -- A Novel Analysis Framework of 4.0 Production Planning Approaches - Part II -- A Survey about BIM Interoperabilit and Collaboration Between Design and Construction -- Implementation of a Holonic Product-based Platform for Increased Flexibility in Production Planning -- Part 4: People and Industry in the Era of Society 5.0 -- Location-Routing for a UAV-Based Recognition System in Humanitarian Logistics: Case Study of Rapid Mapping -- A Local Search Algorithm for the Assignment and Work Balance of a Health Unit -- Ensuring Ethics of Cyber-Physical and Human Systems: a Guideline -- Farm Bot Simulator: Towards a Virtual Environment for Scaled Precision Agriculture -- Part 5: Logistics and Supply Chains -- Connectivity through Digital Supply Chain Management: A Comprehensive Literature Review -- Cyber-Physical Systems in Logistics/Supply Chain -- Managing Disruptions in Supply Chains -- Weighted Sum Method for Multi-Objective Optimization LP Model for Supply Chain Management of Perishable Products in a Diary Company -- Part 6: Optimization in Manufacturing and Services -- A Mixed-Integer Linear Model for Solving the Open Shop Scheduling Problem -- On the Complexity of the Collaborative Joint Replenishment Problem -- Hybrid Model for Decision-Making Methods in Wireless Sensor Networks -- Optimizing Maintenance Policies of Computed Tomography Scanners with Stochastic Failures -- A Multi-Agent Optimization Approach to Determine Farmers’ Market Locations in Bogotá City, Colombia.
Record Nr. UNINA-9910494553703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others]
Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others]
Autore Saberi Ali
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (673 pages)
Disciplina 006.30285436
Collana Systems & Control
Soggetto topico Multiagent systems
Synchronization
Sistemes multiagent
Sincronització
Soggetto genere / forma Llibres electrònics
ISBN 3-030-88148-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910523740703321
Saberi Ali  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others]
Synchronization of multi-agent systems in the presence of disturbances and delays / / Ali Saberi [and three others]
Autore Saberi Ali
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (673 pages)
Disciplina 006.30285436
Collana Systems & Control
Soggetto topico Multiagent systems
Synchronization
Sistemes multiagent
Sincronització
Soggetto genere / forma Llibres electrònics
ISBN 3-030-88148-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996466415903316
Saberi Ali  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui