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Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors)
| Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (715 pages) |
| Disciplina | 658.4038 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Knowledge management |
| Soggetto non controllato | Mathematics |
| ISBN | 3-031-10986-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organizations -- Contents - Part II -- Knowledge Engineering Research and Applications (KERA) -- Multi-view Heterogeneous Network Embedding -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Methodology -- 4.1 Semantics-Based View Generation -- 4.2 View Preservation and Enhanced View Collaboration -- 4.3 Embedding Fusion -- 4.4 Optimization Objective -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Link Prediction -- 5.3 Node Classification -- 5.4 Parameter Sensitivity Analysis -- 6 Conclusion -- References -- A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Encoder -- 3.2 Decoder -- 4 Experiment: Case Study -- 4.1 Datasets Setting -- 4.2 Experimental Setting -- 4.3 Results and Analysis -- 5 Conclusions -- References -- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Clustering-Guided Unsupervised Person re-ID -- 2.2 Camera-Aware Unsupervised Person re-ID -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Loose and Tight Clustering Bounds -- 3.3 Loose-Tight Alternate Clustering -- 3.4 Quality Measurement Based Learning -- 4 Experiments -- 4.1 Datasets and Evaluation Protocol -- 4.2 Implementation Details -- 4.3 Ablation Studies -- 4.4 Comparison with State-of-the-Art Methods -- 4.5 Robustness Evaluation -- 5 Conclusion -- References -- Sparse Dense Transformer Network for Video Action Recognition -- 1 Introduction -- 2 Related Work -- 2.1 CNNs in Action Recognition -- 2.2 Transformer in Action Recognition -- 3 Sparse Dense Transformer Network -- 3.1 Frame Alignment -- 3.2 Patch Crop -- 4 Experiments -- 5 Ablation Experiments -- 6 Conclusion -- References -- Deep User Multi-interest Network for Click-Through Rate Prediction.
1 Introduction -- 2 Related Works -- 3 The Proposed Model -- 3.1 Preliminaries -- 3.2 Embedding -- 3.3 Self-Interest Extractor Network -- 3.4 User-User Interest Extractor Network -- 3.5 Prediction and Optimization Objective -- 4 Experiments -- 4.1 Datasets -- 4.2 Competitors and Parameter Settings -- 4.3 Experimental Results -- 4.4 Ablation Study -- 4.5 Parameter Analysis -- 5 Conclusions -- References -- Open Relation Extraction via Query-Based Span Prediction -- 1 Introduction -- 2 Approach -- 2.1 Task Description -- 2.2 Query Template Creation -- 2.3 Encoder -- 2.4 Span Extraction Module -- 2.5 Training and Inference -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Implementations -- 3.3 Baselines -- 4 Experimental Results -- 4.1 H1: QORE for Multilingual Open Relation Extraction -- 4.2 H2: Zero-shot Domain Transferability of QORE -- 4.3 H3: Few-Shot Learning Ability of QORE -- 5 Conclusion -- References -- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations -- 1 Introduction -- 1.1 Challenge of Relation Extraction -- 1.2 Our Contribution -- 2 Related Work -- 3 Methodology -- 3.1 Representations of Token and Relation -- 3.2 Relation Prediction -- 3.3 Subject and Object Extraction -- 3.4 Training and Inference -- 4 Experiment and Analysis -- 4.1 Datasets and Settings -- 4.2 Baselines and Evaluation Metrics -- 4.3 Relation Extraction Results -- 4.4 Ablation Study -- 5 Conclusion and Future Works -- References -- Mario Fast Learner: Fast and Efficient Solutions for Super Mario Bros -- 1 Introduction -- 2 Background -- 2.1 Reinforcement Learning -- 2.2 Super Mario Bros Games -- 2.3 Leading Reinforcement Learning Methods -- 2.4 Problems of Previous Methods -- 3 Proposed Methods -- 3.1 Use Accuracy Metrics -- 3.2 Accelerated Training Solution -- 3.3 Target Function Update -- 4 Experiments. 4.1 Baseline with Accuracy Check -- 4.2 New Method -- 5 Conclusion -- References -- Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering -- 1 Introduction -- 2 MACL -- 2.1 Overview of the Framework -- 2.2 Algorithm -- 2.3 Objective Function with Reinforcement Learning -- 3 Evaluation -- 3.1 CQA Dataset -- 3.2 Comparison Methods -- 3.3 Implementation Details -- 3.4 Performance Evaluation -- 4 Related Work -- 5 Conclusion -- References -- Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel -- 1 Introduction -- 2 Data Set Construction -- 3 Model Construction and Application -- 3.1 Machine Learning Method -- 3.2 Feature Descriptor -- 3.3 Model Construction -- 3.4 Knowledge Reasoning and Prediction -- 4 Conclusion -- References -- Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Word Embedding Distillation -- 3.2 Transformer Layer Distillation with Review Mechanism -- 3.3 Prediction Distillation -- 3.4 Total Loss -- 4 Experimental Setup -- 4.1 Experimental Data -- 4.2 Implementation Details -- 4.3 Baseline Methods -- 5 Experimental Results -- 5.1 Main Results -- 5.2 Strategy Comparison -- 6 Conclusions -- References -- Topic and Reference Guided Keyphrase Generation from Social Media -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Retriever -- 3.2 Encoder with Heterogeneous Graph -- 3.3 Contextual Neural Topic Model -- 3.4 Topic-Reference-Aware Decoder -- 3.5 Jointly Training -- 4 Experiment Settings -- 4.1 Datasets -- 4.2 Comparisons and Evaluation -- 4.3 Implementation Details -- 5 Results and Analysis -- 5.1 Performance of Keyphrase Generation -- 5.2 Prediction of Present and Absent Keyphrase -- 5.3 Ablation Study. 5.4 Influence of the Number of Topics -- 5.5 Case Study -- 6 Conclusion -- References -- DISEL: A Language for Specifying DIS-Based Ontologies -- 1 Introduction -- 2 Background -- 2.1 Domain Information System -- 2.2 Illustrative Example -- 3 Literature Review on Languages for Ontologies -- 3.1 Functional Languages -- 3.2 XML-Based Languages -- 3.3 Other Ontology Languages -- 3.4 Summary -- 4 DISEL Syntax and Support Tool -- 4.1 DISEL Editor Interface Overview -- 4.2 Name and Include Constructs -- 4.3 AtomDomain Construct -- 4.4 Concept -- 4.5 Graph -- 5 Design Decisions -- 6 Discussion -- 7 Conclusion and Future Work -- References -- MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data -- 1 Introduction -- 2 Related Work -- 3 MSSA-FL: Multi-stage Semi-asynchronous Federated Learning -- 3.1 Framework Overview -- 3.2 Combination Module and Multi-stage Training -- 3.3 Semi-asynchronous Training -- 3.4 Model Assignment -- 3.5 Model Aggregation -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences -- 1 Introduction -- 2 Methodology -- 2.1 Problem Definition -- 2.2 Technical Details of Classification Model -- 3 Evaluation -- 3.1 Dataset Description -- 3.2 Baeline -- 3.3 Experimental Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning -- 1 Introduction -- 2 Preliminaries -- 2.1 Reinforcement Learning -- 2.2 Variational Inference -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Explanation of Actions with Activation Maps -- 3.3 Fusion Activation Maps and States -- 3.4 Encoding the Fused State with Variational Inference. 4 Experiments and Results -- 4.1 Environment and Experimental Settings -- 4.2 Comparisons with Benchmark Algorithms -- 4.3 Analysis of Explainability -- 5 Conclusion -- References -- CLINER: Clinical Interrogation Named Entity Recognition -- 1 Introduction -- 2 Proposed Method -- 2.1 Model Design -- 3 Experiments -- 3.1 Baselines and Evaluation Metrics -- 3.2 Experimental Settings -- 3.3 Results and Analysis -- 4 Conclusion -- References -- CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework -- 1 Introduction -- 2 Related Work -- 2.1 Contrastive Learning -- 2.2 Unsupervised SimCSE -- 2.3 Supervised SimCSE -- 2.4 Sentence Contrastive Learning with PLMs -- 3 CCDC Framework -- 3.1 Cross-Domain Sentences as Hard-Negative Samples -- 3.2 Hard NLI Data Builder -- 3.3 Soft NLI Data Builder -- 4 Experiment -- 4.1 Data Preparation -- 4.2 Training Details -- 4.3 CCDC with One-Domain Training and In-Domain/Out-Domain Testing -- 4.4 CCDC with the Hard/Soft NLI Data Builder -- 5 Analysis -- 6 Conclusion -- 7 Appendix -- 7.1 CCDC with Different PLM and Different Pooling Layer -- 7.2 Case Analysis -- References -- A Multi-objective Optimization Method for Joint Feature Selection and Classifier Parameter Tuning -- 1 Introduction -- 2 Problem Formulation -- 3 The Proposed Approach -- 3.1 Traditional MOGWO -- 3.2 IMOGWO -- 4 Experimental Results and Analysis -- 4.1 Datasets and Setups -- 4.2 Feature Selection Results -- 5 Conclusion -- References -- Word Sense Disambiguation Based on Memory Enhancement Mechanism -- 1 Introduction -- 2 Related Word -- 2.1 Knowledge-Based WSD -- 2.2 Supervised WSD -- 3 Methodology -- 3.1 Task Definition -- 3.2 Model Architecture -- 3.3 Context-Encoder and Gloss-Encoder Units -- 3.4 Memory-Enhancement Unit -- 3.5 Prediction Unit -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details. 4.3 Comparison with the State-of-the-Art Baselines. |
| Record Nr. | UNINA-9910585774603321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors)
| Knowledge science, engineering and management : 15th international conference, KSEM 2022, Singapore, August 6-8, 2022, proceedings, part ii / / Gerard Memmi, [and four others], (editors) |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (715 pages) |
| Disciplina | 658.4038 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico | Knowledge management |
| Soggetto non controllato | Mathematics |
| ISBN | 3-031-10986-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organizations -- Contents - Part II -- Knowledge Engineering Research and Applications (KERA) -- Multi-view Heterogeneous Network Embedding -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Methodology -- 4.1 Semantics-Based View Generation -- 4.2 View Preservation and Enhanced View Collaboration -- 4.3 Embedding Fusion -- 4.4 Optimization Objective -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Link Prediction -- 5.3 Node Classification -- 5.4 Parameter Sensitivity Analysis -- 6 Conclusion -- References -- A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 3.1 Encoder -- 3.2 Decoder -- 4 Experiment: Case Study -- 4.1 Datasets Setting -- 4.2 Experimental Setting -- 4.3 Results and Analysis -- 5 Conclusions -- References -- Unsupervised Person Re-ID via Loose-Tight Alternate Clustering -- 1 Introduction -- 2 Related Work -- 2.1 Clustering-Guided Unsupervised Person re-ID -- 2.2 Camera-Aware Unsupervised Person re-ID -- 3 Methodology -- 3.1 Problem Definition -- 3.2 Loose and Tight Clustering Bounds -- 3.3 Loose-Tight Alternate Clustering -- 3.4 Quality Measurement Based Learning -- 4 Experiments -- 4.1 Datasets and Evaluation Protocol -- 4.2 Implementation Details -- 4.3 Ablation Studies -- 4.4 Comparison with State-of-the-Art Methods -- 4.5 Robustness Evaluation -- 5 Conclusion -- References -- Sparse Dense Transformer Network for Video Action Recognition -- 1 Introduction -- 2 Related Work -- 2.1 CNNs in Action Recognition -- 2.2 Transformer in Action Recognition -- 3 Sparse Dense Transformer Network -- 3.1 Frame Alignment -- 3.2 Patch Crop -- 4 Experiments -- 5 Ablation Experiments -- 6 Conclusion -- References -- Deep User Multi-interest Network for Click-Through Rate Prediction.
1 Introduction -- 2 Related Works -- 3 The Proposed Model -- 3.1 Preliminaries -- 3.2 Embedding -- 3.3 Self-Interest Extractor Network -- 3.4 User-User Interest Extractor Network -- 3.5 Prediction and Optimization Objective -- 4 Experiments -- 4.1 Datasets -- 4.2 Competitors and Parameter Settings -- 4.3 Experimental Results -- 4.4 Ablation Study -- 4.5 Parameter Analysis -- 5 Conclusions -- References -- Open Relation Extraction via Query-Based Span Prediction -- 1 Introduction -- 2 Approach -- 2.1 Task Description -- 2.2 Query Template Creation -- 2.3 Encoder -- 2.4 Span Extraction Module -- 2.5 Training and Inference -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Implementations -- 3.3 Baselines -- 4 Experimental Results -- 4.1 H1: QORE for Multilingual Open Relation Extraction -- 4.2 H2: Zero-shot Domain Transferability of QORE -- 4.3 H3: Few-Shot Learning Ability of QORE -- 5 Conclusion -- References -- Relational Triple Extraction with Relation-Attentive Contextual Semantic Representations -- 1 Introduction -- 1.1 Challenge of Relation Extraction -- 1.2 Our Contribution -- 2 Related Work -- 3 Methodology -- 3.1 Representations of Token and Relation -- 3.2 Relation Prediction -- 3.3 Subject and Object Extraction -- 3.4 Training and Inference -- 4 Experiment and Analysis -- 4.1 Datasets and Settings -- 4.2 Baselines and Evaluation Metrics -- 4.3 Relation Extraction Results -- 4.4 Ablation Study -- 5 Conclusion and Future Works -- References -- Mario Fast Learner: Fast and Efficient Solutions for Super Mario Bros -- 1 Introduction -- 2 Background -- 2.1 Reinforcement Learning -- 2.2 Super Mario Bros Games -- 2.3 Leading Reinforcement Learning Methods -- 2.4 Problems of Previous Methods -- 3 Proposed Methods -- 3.1 Use Accuracy Metrics -- 3.2 Accelerated Training Solution -- 3.3 Target Function Update -- 4 Experiments. 4.1 Baseline with Accuracy Check -- 4.2 New Method -- 5 Conclusion -- References -- Few-Shot Learning with Self-supervised Classifier for Complex Knowledge Base Question Answering -- 1 Introduction -- 2 MACL -- 2.1 Overview of the Framework -- 2.2 Algorithm -- 2.3 Objective Function with Reinforcement Learning -- 3 Evaluation -- 3.1 CQA Dataset -- 3.2 Comparison Methods -- 3.3 Implementation Details -- 3.4 Performance Evaluation -- 4 Related Work -- 5 Conclusion -- References -- Data-Driven Approach for Investigation of Irradiation Hardening Behavior of RAFM Steel -- 1 Introduction -- 2 Data Set Construction -- 3 Model Construction and Application -- 3.1 Machine Learning Method -- 3.2 Feature Descriptor -- 3.3 Model Construction -- 3.4 Knowledge Reasoning and Prediction -- 4 Conclusion -- References -- Deep-to-Bottom Weights Decay: A Systemic Knowledge Review Learning Technique for Transformer Layers in Knowledge Distillation -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Word Embedding Distillation -- 3.2 Transformer Layer Distillation with Review Mechanism -- 3.3 Prediction Distillation -- 3.4 Total Loss -- 4 Experimental Setup -- 4.1 Experimental Data -- 4.2 Implementation Details -- 4.3 Baseline Methods -- 5 Experimental Results -- 5.1 Main Results -- 5.2 Strategy Comparison -- 6 Conclusions -- References -- Topic and Reference Guided Keyphrase Generation from Social Media -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Retriever -- 3.2 Encoder with Heterogeneous Graph -- 3.3 Contextual Neural Topic Model -- 3.4 Topic-Reference-Aware Decoder -- 3.5 Jointly Training -- 4 Experiment Settings -- 4.1 Datasets -- 4.2 Comparisons and Evaluation -- 4.3 Implementation Details -- 5 Results and Analysis -- 5.1 Performance of Keyphrase Generation -- 5.2 Prediction of Present and Absent Keyphrase -- 5.3 Ablation Study. 5.4 Influence of the Number of Topics -- 5.5 Case Study -- 6 Conclusion -- References -- DISEL: A Language for Specifying DIS-Based Ontologies -- 1 Introduction -- 2 Background -- 2.1 Domain Information System -- 2.2 Illustrative Example -- 3 Literature Review on Languages for Ontologies -- 3.1 Functional Languages -- 3.2 XML-Based Languages -- 3.3 Other Ontology Languages -- 3.4 Summary -- 4 DISEL Syntax and Support Tool -- 4.1 DISEL Editor Interface Overview -- 4.2 Name and Include Constructs -- 4.3 AtomDomain Construct -- 4.4 Concept -- 4.5 Graph -- 5 Design Decisions -- 6 Discussion -- 7 Conclusion and Future Work -- References -- MSSA-FL: High-Performance Multi-stage Semi-asynchronous Federated Learning with Non-IID Data -- 1 Introduction -- 2 Related Work -- 3 MSSA-FL: Multi-stage Semi-asynchronous Federated Learning -- 3.1 Framework Overview -- 3.2 Combination Module and Multi-stage Training -- 3.3 Semi-asynchronous Training -- 3.4 Model Assignment -- 3.5 Model Aggregation -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Experimental Results -- 5 Conclusion -- References -- A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences -- 1 Introduction -- 2 Methodology -- 2.1 Problem Definition -- 2.2 Technical Details of Classification Model -- 3 Evaluation -- 3.1 Dataset Description -- 3.2 Baeline -- 3.3 Experimental Results -- 3.4 Ablation Study -- 4 Conclusion -- References -- Incorporating Explanations to Balance the Exploration and Exploitation of Deep Reinforcement Learning -- 1 Introduction -- 2 Preliminaries -- 2.1 Reinforcement Learning -- 2.2 Variational Inference -- 3 Proposed Method -- 3.1 Network Architecture -- 3.2 Explanation of Actions with Activation Maps -- 3.3 Fusion Activation Maps and States -- 3.4 Encoding the Fused State with Variational Inference. 4 Experiments and Results -- 4.1 Environment and Experimental Settings -- 4.2 Comparisons with Benchmark Algorithms -- 4.3 Analysis of Explainability -- 5 Conclusion -- References -- CLINER: Clinical Interrogation Named Entity Recognition -- 1 Introduction -- 2 Proposed Method -- 2.1 Model Design -- 3 Experiments -- 3.1 Baselines and Evaluation Metrics -- 3.2 Experimental Settings -- 3.3 Results and Analysis -- 4 Conclusion -- References -- CCDC: A Chinese-Centric Cross Domain Contrastive Learning Framework -- 1 Introduction -- 2 Related Work -- 2.1 Contrastive Learning -- 2.2 Unsupervised SimCSE -- 2.3 Supervised SimCSE -- 2.4 Sentence Contrastive Learning with PLMs -- 3 CCDC Framework -- 3.1 Cross-Domain Sentences as Hard-Negative Samples -- 3.2 Hard NLI Data Builder -- 3.3 Soft NLI Data Builder -- 4 Experiment -- 4.1 Data Preparation -- 4.2 Training Details -- 4.3 CCDC with One-Domain Training and In-Domain/Out-Domain Testing -- 4.4 CCDC with the Hard/Soft NLI Data Builder -- 5 Analysis -- 6 Conclusion -- 7 Appendix -- 7.1 CCDC with Different PLM and Different Pooling Layer -- 7.2 Case Analysis -- References -- A Multi-objective Optimization Method for Joint Feature Selection and Classifier Parameter Tuning -- 1 Introduction -- 2 Problem Formulation -- 3 The Proposed Approach -- 3.1 Traditional MOGWO -- 3.2 IMOGWO -- 4 Experimental Results and Analysis -- 4.1 Datasets and Setups -- 4.2 Feature Selection Results -- 5 Conclusion -- References -- Word Sense Disambiguation Based on Memory Enhancement Mechanism -- 1 Introduction -- 2 Related Word -- 2.1 Knowledge-Based WSD -- 2.2 Supervised WSD -- 3 Methodology -- 3.1 Task Definition -- 3.2 Model Architecture -- 3.3 Context-Encoder and Gloss-Encoder Units -- 3.4 Memory-Enhancement Unit -- 3.5 Prediction Unit -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details. 4.3 Comparison with the State-of-the-Art Baselines. |
| Record Nr. | UNISA-996483162003316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Network and System Security [[electronic resource] ] : 9th International Conference, NSS 2015, New York, NY, USA, November 3-5, 2015, Proceedings / / edited by Meikang Qiu, Shouhuai Xu, Moti Yung, Haibo Zhang
| Network and System Security [[electronic resource] ] : 9th International Conference, NSS 2015, New York, NY, USA, November 3-5, 2015, Proceedings / / edited by Meikang Qiu, Shouhuai Xu, Moti Yung, Haibo Zhang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIV, 542 p. 126 illus. in color.) |
| Disciplina | 005.8 |
| Collana | Security and Cryptology |
| Soggetto topico |
Computer security
Computer communication systems Data encryption (Computer science) Management information systems Computer science Computers and civilization Systems and Data Security Computer Communication Networks Cryptology Management of Computing and Information Systems Computers and Society |
| ISBN | 3-319-25645-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Wireless security and privacy -- Smartphone security -- Systems security.-Applications security -- Security management -- Applied cryptography.-Cryptosystems -- Cryptographic mechanisms -- Security mechanisms -- Mobile and cloud security -- Applications and network security. |
| Record Nr. | UNINA-9910484797103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Network and System Security [[electronic resource] ] : 9th International Conference, NSS 2015, New York, NY, USA, November 3-5, 2015, Proceedings / / edited by Meikang Qiu, Shouhuai Xu, Moti Yung, Haibo Zhang
| Network and System Security [[electronic resource] ] : 9th International Conference, NSS 2015, New York, NY, USA, November 3-5, 2015, Proceedings / / edited by Meikang Qiu, Shouhuai Xu, Moti Yung, Haibo Zhang |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIV, 542 p. 126 illus. in color.) |
| Disciplina | 005.8 |
| Collana | Security and Cryptology |
| Soggetto topico |
Computer security
Computer communication systems Data encryption (Computer science) Management information systems Computer science Computers and civilization Systems and Data Security Computer Communication Networks Cryptology Management of Computing and Information Systems Computers and Society |
| ISBN | 3-319-25645-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Wireless security and privacy -- Smartphone security -- Systems security.-Applications security -- Security management -- Applied cryptography.-Cryptosystems -- Cryptographic mechanisms -- Security mechanisms -- Mobile and cloud security -- Applications and network security. |
| Record Nr. | UNISA-996466273503316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Smart Blockchain [[electronic resource] ] : Second International Conference, SmartBlock 2019, Birmingham, UK, October 11–13, 2019, Proceedings / / edited by Meikang Qiu
| Smart Blockchain [[electronic resource] ] : Second International Conference, SmartBlock 2019, Birmingham, UK, October 11–13, 2019, Proceedings / / edited by Meikang Qiu |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 141 p. 73 illus., 59 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data protection
Application software Database management Coding theory Information theory Computers Computer organization Security Information Systems Applications (incl. Internet) Database Management Coding and Information Theory Computing Milieux Computer Systems Organization and Communication Networks |
| ISBN | 3-030-34083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910357852203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Blockchain [[electronic resource] ] : Second International Conference, SmartBlock 2019, Birmingham, UK, October 11–13, 2019, Proceedings / / edited by Meikang Qiu
| Smart Blockchain [[electronic resource] ] : Second International Conference, SmartBlock 2019, Birmingham, UK, October 11–13, 2019, Proceedings / / edited by Meikang Qiu |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 141 p. 73 illus., 59 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data protection
Application software Database management Coding theory Information theory Computers Computer organization Security Information Systems Applications (incl. Internet) Database Management Coding and Information Theory Computing Milieux Computer Systems Organization and Communication Networks |
| ISBN | 3-030-34083-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996466318303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Smart Blockchain [[electronic resource] ] : First International Conference, SmartBlock 2018, Tokyo, Japan, December 10–12, 2018, Proceedings / / edited by Meikang Qiu
| Smart Blockchain [[electronic resource] ] : First International Conference, SmartBlock 2018, Tokyo, Japan, December 10–12, 2018, Proceedings / / edited by Meikang Qiu |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 179 p. 67 illus., 34 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data protection
Computers Computer organization Optical data processing Application software Computer logic Security Computing Milieux Computer Systems Organization and Communication Networks Image Processing and Computer Vision Information Systems Applications (incl. Internet) Logics and Meanings of Programs |
| ISBN | 3-030-05764-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hiding Bitcoin Transaction Information based on HEVC -- A new Sustainable Interchain Network Protocol-Transport Layer -- Design and Implementation of a Loan System Based on Smart Contract -- Formal Verification of Smart Contracts from the Perspective of Concurrency -- A Blockchain Based Data Management System for Energy Trade -- A Distributed Digital Asset-Trading Platform Based on Permissioned Blockchains -- Crux|a new fast, exible and decentralized consensus algorithm with high fault tolerance rate -- Boost Blockchain Broadcast Propagation with Tree Routing -- A Simple Auditable Fingerprint Authentication Scheme Using Smart-Contracts -- A vision for trust, security and privacy of blockchain -- A Blockchain-based Data Hiding Method for Data Protection in Digital Videos -- A Novel Sustainable Interchain Network Framework for Blockchain -- Economic Incentive Structure for Blockchain Network -- An Improved Consensus Mechanism for Blockchain -- A Novel Cross-Chain Mechanism for Blockchains -- How to Detect and Contain Suspicious Transactions in Distributed Ledgers -- A Dynamic Scalable Blockchain Based Communication Architecture for IoT -- The impact of blockchain on food supply chain: the case of Walmart. |
| Record Nr. | UNINA-9910349387003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Smart Blockchain [[electronic resource] ] : First International Conference, SmartBlock 2018, Tokyo, Japan, December 10–12, 2018, Proceedings / / edited by Meikang Qiu
| Smart Blockchain [[electronic resource] ] : First International Conference, SmartBlock 2018, Tokyo, Japan, December 10–12, 2018, Proceedings / / edited by Meikang Qiu |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (X, 179 p. 67 illus., 34 illus. in color.) |
| Disciplina | 005.74 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data protection
Computers Computer organization Optical data processing Application software Computer logic Security Computing Milieux Computer Systems Organization and Communication Networks Image Processing and Computer Vision Information Systems Applications (incl. Internet) Logics and Meanings of Programs |
| ISBN | 3-030-05764-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Hiding Bitcoin Transaction Information based on HEVC -- A new Sustainable Interchain Network Protocol-Transport Layer -- Design and Implementation of a Loan System Based on Smart Contract -- Formal Verification of Smart Contracts from the Perspective of Concurrency -- A Blockchain Based Data Management System for Energy Trade -- A Distributed Digital Asset-Trading Platform Based on Permissioned Blockchains -- Crux|a new fast, exible and decentralized consensus algorithm with high fault tolerance rate -- Boost Blockchain Broadcast Propagation with Tree Routing -- A Simple Auditable Fingerprint Authentication Scheme Using Smart-Contracts -- A vision for trust, security and privacy of blockchain -- A Blockchain-based Data Hiding Method for Data Protection in Digital Videos -- A Novel Sustainable Interchain Network Framework for Blockchain -- Economic Incentive Structure for Blockchain Network -- An Improved Consensus Mechanism for Blockchain -- A Novel Cross-Chain Mechanism for Blockchains -- How to Detect and Contain Suspicious Transactions in Distributed Ledgers -- A Dynamic Scalable Blockchain Based Communication Architecture for IoT -- The impact of blockchain on food supply chain: the case of Walmart. |
| Record Nr. | UNISA-996466293803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Smart Computing and Communication : 7th International Conference, SmartCom 2022, New York City, NY, USA, November 18-20, 2022, Proceedings / / Meikang Qiu, Zhihui Lu, and Cheng Zhang, editors
| Smart Computing and Communication : 7th International Conference, SmartCom 2022, New York City, NY, USA, November 18-20, 2022, Proceedings / / Meikang Qiu, Zhihui Lu, and Cheng Zhang, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (724 pages) |
| Disciplina | 004.6782 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
Cloud computing
Computer networks Computer security |
| ISBN |
9783031281242
9783031281235 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996517753103316 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Smart Computing and Communication : 7th International Conference, SmartCom 2022, New York City, NY, USA, November 18-20, 2022, Proceedings / / Meikang Qiu, Zhihui Lu, and Cheng Zhang, editors
| Smart Computing and Communication : 7th International Conference, SmartCom 2022, New York City, NY, USA, November 18-20, 2022, Proceedings / / Meikang Qiu, Zhihui Lu, and Cheng Zhang, editors |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2023] |
| Descrizione fisica | 1 online resource (724 pages) |
| Disciplina | 004.6782 |
| Collana | Lecture Notes in Computer Science Series |
| Soggetto topico |
Cloud computing
Computer networks Computer security |
| ISBN |
9783031281242
9783031281235 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910686790203321 |
| Cham, Switzerland : , : Springer, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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