Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Type of Material
Type of Publication
Consortium
Language
  • 1
    UID:
    (DE-605)HT030598005
    Format: 1 Online-Ressource (XIV, 215 p. 1 illus)
    Edition: 1st ed. 2023
    ISBN: 9789819957323
    Additional Edition: Printed edition 9789819957316
    Additional Edition: Printed edition 9789819957330
    Additional Edition: Printed edition 9789819957347
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 2
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Cham : Springer International Publishing AG
    UID:
    (DE-603)513668160
    Format: 1 Online-Ressource (XIV, 215 Seiten) , 1 illus.
    Edition: 1st ed. 2023
    ISBN: 9789819957323 , 981995732X
    Additional Edition: Erscheint auch als Druck-Ausgabe Dou, Wanchun Intelligent Industrial Internet Systems Singapore : Springer Nature Singapore, 2023 9789819957316
    Additional Edition: 9789819957316
    Additional Edition: 9789819957330
    Additional Edition: 9789819957347
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Springer
    UID:
    (DE-604)BV049442766
    Format: 1 Online-Ressource (XIV, 215 p. 1 illus)
    Edition: 1st ed. 2023
    ISBN: 9789819957323
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9957-31-6
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9957-33-0
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-9957-34-7
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 4
    Online Resource
    Online Resource
    Singapore : Springer Nature Singapore | Singapore : Imprint: Springer
    UID:
    (DE-627)1871462940
    Format: 1 Online-Ressource(XIV, 215 p. 1 illus.)
    Edition: 1st ed. 2023.
    ISBN: 9789819957323
    Content: Chapter 1. Introduction -- Chapter 2. Architecture of Industrial Internet-centric BPM -- Chapter3. Industrial-metadata intelligent service for geo-distributed file system -- Chapter 4. Intelligent cooperation technology for multi-access device -- Chapter 5. Deep optimization for storage and computation over Industrial Internet -- Chapter 6. User data privacy protection in industrial application -- Chapter 7. Industrial application data security preservation in edge computing -- Chapter 8. Attribute-based intelligent data management for industrial application -- Chapter 9. Mobile business task management over Industrial Internet -- Chapter 10. Intelligent business resources deployment over Industrial Internet -- Chapter 11. Intelligent business process scheduling for industrial application.
    Content: In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading. This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
    Additional Edition: 9789819957316
    Additional Edition: 9789819957330
    Additional Edition: 9789819957347
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819957316
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819957330
    Additional Edition: Erscheint auch als Druck-Ausgabe 9789819957347
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    UID:
    (DE-602)edoccha_9961350492902883
    Format: 1 online resource (223 pages)
    Edition: 1st ed.
    ISBN: 981-9957-32-X
    Note: Intro -- Preface -- Acknowledgment -- Contents -- About the Authors -- Chapter 1: Introduction -- 1.1 Industrial Internet-Centric Intelligent Resources Scheduling -- 1.1.1 Related Work -- 1.1.2 Edge-Enabled IoT Service Orchestration Framework -- 1.1.3 Problem Formulation for Optimal Resource Allocation -- 1.2 Industrial Internet-Centric Privacy and Security -- 1.2.1 Security-Enforcement Technique -- 1.2.1.1 Securing Edge-Enabled from Attacks -- 1.2.1.2 Vulnerabilities of Edge-Enabled IoT -- 1.2.1.3 Edge-Enabled IoT Traffic Scenario -- 1.2.1.4 System Modeling and Analysis -- Link Selection Module -- Attack Detection Module -- Malicious Flow Interception Module -- 1.2.2 Privacy-Preserving Technique -- 1.2.2.1 Related Work and Motivation Analysis -- 1.2.2.2 System Modeling and Analysis -- Components -- Architecture -- Authentication Mechanism -- 1.2.2.3 Working Principle of the Proposed Technique -- 1.3 Introduction to Business Process Management -- 1.3.1 Business Process Management (BPM) -- 1.3.2 The Benefits and Drivers -- 1.3.3 The Process Lifecycle and Methodologies -- 1.3.4 Challenges and Best Practices in BPM -- 1.4 Summary -- References -- Chapter 2: Architecture of Industrial Internet-Centric BPM -- 2.1 Mobile Industrial Internet-Centric BPM -- 2.1.1 Introduction -- 2.1.2 Server Selection Example -- 2.1.2.1 Formulation of Server Selection Problem -- 2.1.2.2 Architecture -- 2.2 Resources Deployment in BPM -- 2.2.1 Introduction -- 2.2.2 Architecture -- 2.3 Business Process Scheduling Problem -- 2.3.1 Introduction -- 2.3.2 Architecture for Business Process Scheduling Problem -- 2.4 Summary -- References -- Chapter 3: Industrial-Metadata Intelligent Service for Geo-Distributed File System -- 3.1 Metadata Service in Geo-Distributed File System -- 3.2 Industrial Distributed Virtual Edge Data Center. , 3.3 Intelligent Metadata Service for Industrial Edge Data Center -- 3.4 Analysis of Industrial-Metadata Intelligent Service -- 3.5 Summary -- References -- Chapter 4: Intelligent Cooperation Technology for Multi-Access Device -- 4.1 D2D Cooperation in Multi-Access Transmission Network -- 4.2 Device Selection During Cooperative D2D Transmission -- 4.3 Dynamic Intelligent Decision in Multi-Path Parallel Transmission -- 4.4 Intelligent Multi-Access Device Cooperation in Multi-Path Network -- 4.5 Summary -- References -- Chapter 5: Deep Optimization for Storage and Computation Over Industrial Internet -- 5.1 Deep Learning-Empowered Industrial Internet -- 5.2 Attentive Model Compression for Deep Learning Model -- 5.3 Computation Sharing Across Multi-Application -- 5.4 Deep Optimization for Industrial Applications -- 5.5 Summary -- References -- Chapter 6: User Data Privacy Protection in Industrial Application -- 6.1 Location Data Privacy of User Over Industrial Internet -- 6.2 Adversary Against Location Data Privacy of User -- 6.2.1 Adversary Type -- 6.2.2 Adversary Behavior -- 6.3 CPP: A Content-Aware Privacy Protection Method -- 6.4 Analysis of CPP Applied to Industrial Application -- 6.4.1 Experiment Setup -- 6.4.1.1 Experimental Data -- 6.4.1.2 Experimental Metrics -- Uncertainty λ -- The Proportion of Recognized Dummy LBS RecDummy -- The Proportion of Restored Trajectory ResTra -- Comparison Methods -- Experimental Parameters -- 6.4.2 Comparison Results -- 6.5 Summary -- References -- Chapter 7: Industrial Application Data Security Preservation in Edge Computing -- 7.1 Data Security Preservation by Authentication -- 7.2 Edge User Authentication Problem in Industrial Application -- 7.3 EdgeAuth: An Intelligent Token-Based Collaborative Authentication Scheme -- 7.3.1 System Model -- 7.3.2 General Authentication Process -- 7.3.3 Adversary Model. , 7.3.4 Token Structure -- 7.3.5 Registration -- 7.3.6 Cloud-Side Authentication -- 7.3.7 Edge-Side Authentication -- 7.3.8 Nonce Synchronization -- 7.4 Performance and Security Analysis of EdgeAuth -- 7.4.1 Research Questions -- 7.4.2 Experiment Setup -- 7.4.3 Baseline Schemes -- 7.4.4 Performance Metrics -- 7.4.5 Experimental Results -- 7.4.6 Discussion -- 7.4.7 Security Analysis -- 7.4.7.1 Defense Against Replay Attack -- 7.4.7.2 Defense Against DoS Attack -- 7.4.7.3 Defense Against Man-in-the-Middle Attack -- 7.5 Summary -- References -- Chapter 8: Attribute-Based Intelligent Data Management for Industrial Application -- 8.1 Product Data Management in Industrial Application -- 8.2 Blockchain-Driven Data Management Example -- 8.3 Attribute-Based Intelligent Data Management Over Industrial Metaverse -- 8.4 A Blockchain-Driven Method for Product Data´s Version Management in Industrial Metaverse -- 8.4.1 Preliminaries of Version Management in Industrial Metaverse -- 8.4.2 Smart Contract of Blockchain for Version Management -- 8.4.3 The Blockchain-Driven Method for Product Data´s Version Management -- 8.4.3.1 Initialization -- 8.4.3.2 Version Data Encryption -- 8.4.3.3 Token Generation -- 8.4.3.4 Version Data Decryption -- 8.5 Evaluation and Security Analysis -- 8.6 Summary -- References -- Chapter 9: Mobile Business Task Management Over Industrial Internet -- 9.1 Location-Aware Business Task Computing Over Industrial Internet -- 9.2 Edge Server Selection in Mobile Business Task Management -- 9.3 Intelligent Edge Server Selection in Mobile Industrial Internet Environment -- 9.3.1 Step 1: The Location-Aware -- 9.3.2 Step 2: Ssource Sends Pre-Request -- 9.3.3 Step 3: Scandidate Handles Pre-Requests -- 9.3.4 Step 4: Ss Performs the Actual Transfer -- 9.4 Analysis of the Intelligent Edge Server Selection Method -- 9.4.1 Evaluation of Queued Tasks Number. , 9.4.2 Evaluation of Availability -- 9.4.3 Evaluation of System Cost -- 9.4.4 Evaluation of Average Communication Hops -- 9.5 Summary -- References -- Chapter 10: Intelligent Business Resources Deployment Over Industrial Internet -- 10.1 Resource Deployment for Business Process Management -- 10.2 Intelligent Business Resource Deployment Based on Bayesian Optimization -- 10.3 BOA-Based Business Resource Deployment over Industrial Internet -- 10.4 Summary -- References -- Chapter 11: Intelligent Business Process Scheduling for Industrial Application -- 11.1 Edge Computing-Enabled Business Process Scheduling -- 11.2 Cost-Efficient Edge Channel Deployment -- 11.3 Intelligent Process Scheduling for Business Process Management -- 11.4 Edge Channel Deployment-Based Process Scheduling for Industrial Application -- 11.5 Summary -- References.
    Additional Edition: Print version: Dou, Wanchun Intelligent Industrial Internet Systems Singapore : Springer,c2023
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    UID:
    (DE-101)1300755121
    Format: Online-Ressource
    ISSN: 2195-8564
    In: volume:60
    In: number:5
    In: year:2023
    In: pages:486-497
    In: extent:12
    In: Tenside, surfactants, detergents, München : Hanser, 2004-, 60, Heft 5 (2023), 486-497 (gesamt 12), 2195-8564
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 7
    UID:
    (DE-602)almahu_9949599156002882
    Format: XIV, 215 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9789819957323
    Content: In the process of transforming modern manufacturing into intelligent manufacturing, more and more manufacturing processes are being deployed digitally on the Internet. As a novel digital industrial infrastructure and new application ecology, Industrial Internet could integrate the novel information and communication technology into various industrial manufacturing processes, through the safe and reliable intelligent interconnection of factors concerning people, machines and things. It aims at significantly improving the digitalization, networking and intelligence of manufacturing processes through the comprehensive interconnection of all manufacturing factors. To deploy and run traditional manufacturing processes on Industrial Internet efficiently, corresponding digital technical means are called for. These technical means play an important role in many potential applications of intelligent manufacturing, e.g. integrating product lifecycle data, strengthening industrial chain cooperation, providing decision-making service information oriented on the production organization process, and providing data support for product optimization and upgrading. This book focuses on the theory, techniques and means for integrating intelligent Industrial Internet applications deployed via mobile edge computing. Concretely, it mainly studies the intelligent theory, techniques and means from a problem-driven and demand-driven perspective, which supports collaborative design, agile manufacturing, remote operation and maintenance on Industrial Internet. These technologies primarily include Industrial Internet-centric intelligent resource scheduling methods, various types of industrial data privacy protection, intelligent version management technologies supporting digital twin applications, various data mining algorithms for intelligent execution of business processes, etc. Given its scope, the book offers a valuable theoretical and technical resource for project managers, technical developers, researchers, educators and students at colleges and universities.
    Note: Chapter 1. Introduction -- Chapter 2. Architecture of Industrial Internet-centric BPM -- Chapter3. Industrial-metadata intelligent service for geo-distributed file system -- Chapter 4. Intelligent cooperation technology for multi-access device -- Chapter 5. Deep optimization for storage and computation over Industrial Internet -- Chapter 6. User data privacy protection in industrial application -- Chapter 7. Industrial application data security preservation in edge computing -- Chapter 8. Attribute-based intelligent data management for industrial application -- Chapter 9. Mobile business task management over Industrial Internet -- Chapter 10. Intelligent business resources deployment over Industrial Internet -- Chapter 11. Intelligent business process scheduling for industrial application.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9789819957316
    Additional Edition: Printed edition: ISBN 9789819957330
    Additional Edition: Printed edition: ISBN 9789819957347
    Language: English
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 8
    UID:
    (DE-101)1280631708
    Format: Online-Ressource
    ISSN: 1522-2667
    Content: Abstract: The catalyzed isomerization reaction of aromatic allylic alcohols with electron‐donating groups at the phenyl ring affords the corresponding ketones or aldehydes but fails in case of substrates containing electron‐withdrawing groups.
    In: volume:44
    In: number:17
    In: year:2013
    In: pages:no-no
    In: extent:1
    In: ChemInform, Weinheim : Wiley-VCH, 1987-2016, 44, Heft 17 (2013), no-no (gesamt 1), 1522-2667
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 9
    UID:
    (DE-627)170007136X
    ISBN: 9783030301453
    In: CollaborateCom (15. : 2019 : London), Collaborative computing, Cham, Switzerland : Springer, 2019, (2019), Seite 745-759, 9783030301453
    In: year:2019
    In: pages:745-759
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 10
    UID:
    (DE-101)121317208X
    Format: Online-Ressource , online resource.
    ISSN: 1591-9528 , 1591-9528
    In: volume:20
    In: number:2
    In: day:12
    In: month:2
    In: year:2020
    In: pages:261-267
    In: date:5.2020
    In: Clinical and experimental medicine, Milano : Springer, 2001-, 20, Heft 2 (12.2.2020), 261-267, 5.2020, 1591-9528
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. Further information can be found on the KOBV privacy pages