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Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (482 pages)
Disciplina 943.005
Collana Communications in Computer and Information Science
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-23092-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part I -- Contents - Part II -- Artificial Intelligence -- Galaxy Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Proposed Deep Galaxies CNN Model -- 3.3 Overview of Algorithms -- 4 Comparative Results -- 4.1 Model Accuracy -- 5 Conclusion and Future Scope -- References -- Word Sense Disambiguation for Hindi Language Using Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Variants of Word Sense Disambiguation Work -- 2.3 Existing Approaches for Disambiguation -- 3 Proposed Approach for WSD -- 3.1 Architecture of the Proposed WSD Model -- 3.2 Implementation Details -- 4 Result Discussion -- 5 Conclusion and Future Directions -- References -- Social Media Addiction: Analysis on Impact of Self-esteem and Recommending Methods to Reduce Addiction -- 1 Introduction -- 2 Related Work -- 3 Measures -- 3.1 Bergen Social Media Addiction Scale (BSMAS) [5] -- 3.2 Rosenberg Self-esteem Scale (RSES) [5] -- 3.3 Recommendation Methods [14, 15] -- 3.4 Dataset Collection 1 -- 3.5 Dataset Collection 2 -- 4 Proposed Methodology -- 4.1 Statistical Analysis -- 4.2 Recommendation System -- 5 Results and Discussion -- 5.1 Statistical Analysis.
5.2 Recommendation System -- 6 Conclusion -- References -- A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding -- 1 Introduction -- 2 Types of Noises -- 2.1 Speckle Noise -- 2.2 Gaussian Noise -- 2.3 Salt and Pepper Noise -- 3 Proposed Work for Document Image Enhancement -- 3.1 Edge Preserving Image Smoothing -- 3.2 Gray Level Reduction -- 3.3 Image Thresholding Using Otsu's Method -- 4 Experimentation and Results -- 5 Conclusions and Future Work -- References -- A Comparative Assessment of Deep Learning Approaches for Opinion Mining -- 1 Introduction -- 2 Literature Review -- 3 Tools for Opinion Mining -- 4 Deep Learning Techniques -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Recurrent Neural Network (RNN) -- 4.3 Long Short Term Memory (LSTM) -- 4.4 Deep Neural Networks (DNN) -- 4.5 Deep Belief Networks (DBN) -- 4.6 Recursive Neural Network (RECNN) -- 4.7 Hybrid Neural Network -- 5 System Architecture -- 6 Advantages of Deep Learning -- 7 When to Use Deep Learning -- 8 Disadvantages of Deep Learning -- 9 Conclusion -- References -- Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC) -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 3.1 Radio Model -- 3.2 Assumptions -- 4 Proposed Algorithm -- 4.1 Cluster Formation Phase -- 4.2 Cluster Head Selection Phase -- 4.3 Communication Phase -- 5 Analytical Evaluation of Performance -- 5.1 Performance Metrics -- 5.2 Simulation Parameters -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Review of Gait Analysis Based on Age and Gender Prediction -- 1 Introduction -- 2 Gait Analysis and Feature Extraction -- 2.1 Gait and Gait Cycle -- 2.2 Gait and Gait Cycle -- 2.3 Gait and Gait Cycle -- 2.4 Motivation and Application of GEI Motivation -- 3 Evolution Metric -- 4 Related Work.
5 Comparison and Summary of Related Research Work -- 6 Future Work -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Handwritten Signature Verification Using Convolution Neural Network (CNN) -- 1 Introduction -- 1.1 About the Domain -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Converting Image to Binary -- 3.2 Noise Removal -- 3.3 Image Enlargement -- 4 Feature Extraction -- 5 Feature Selection -- 6 Classification -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Energy Consumption in Text Processing Models -- 1 Introduction -- 2 Existing Approaches -- 3 Exploration of the Data-Set -- 3.1 Average Word Length -- 3.2 Average Character Length -- 3.3 Number of Comments -- 4 Modelling -- 4.1 Simple Machine Learning Model -- 4.2 DistilBERT Model -- 4.3 Conv1D Model -- 4.4 Gated Recurrence Unit - GRU Model -- 5 Results -- 6 Conclusion -- References -- Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach - A Review -- 1 Introduction -- 1.1 6G Vision -- 1.2 Technical Objectives of 6G -- 2 Resource Allocation for 6G Wireless Networks -- 3 Summary of Deep Learning Algorithms Used for 6G Wireless Networks Resource Allocation -- 4 Conclusion and Future Scope -- Appendix -- References -- Automation of Rice Leaf Diseases Prediction Using Deep Learning Hybrid Model VVIR -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 5 Discussion -- References -- A Review Based on Machine Learning for Feature Selection and Feature Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Feature Selection -- 2.2 Reducing the Dimensionality -- 3 Related Works -- 3.1 Feature Selection Approaches -- 3.2 Feature Extraction Approaches -- 4 Discussion -- 5 Conclusion -- References -- Automating Scorecard and Commentary Based on Umpire Gesture Recognition -- 1 Introduction.
2 Literature Survey -- 3 Methodology -- 3.1 Umpire Gestures -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Classification of Umpire Gestures -- 3.5 Scorecard Updating Feature -- 4 Results and Discussion -- 5 Conclusion -- References -- Rating YouTube Videos: An Improvised and Effective Approach -- 1 Introduction -- 2 Previous Work -- 3 Implementation -- 3.1 Comment Collection and Preprocessing -- 3.2 Sentiment Measure -- 3.3 Word Cloud -- 3.4 Video Rating -- 4 Performance Review of Proposed Approach -- 4.1 Major Application: Detection of Clickbait Videos -- 5 Limitations and Loopholes -- 6 Result -- 7 Conclusion -- 8 Future Work -- References -- Classification of Tweet on Disaster Management Using Random Forest -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Training, Validation and Testing -- 3.3 Feature Extraction -- 3.4 Random Forest Classification -- 3.5 Location Extraction -- 4 Results and Discussions -- 5 Datasets -- 6 Experiment -- 7 Validation -- 8 Conclusions -- References -- Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Model Clay Barrier's Compositional Characteristics -- 2.2 Geogrid -- 2.3 Measuring Subgrade Stiffness -- 2.4 Multi Objective Function -- 2.5 Improving Settlement-Based Geogrid using Hybrid RNN-EHO Technique -- 2.6 The Procedure of the EHO in Realizing the Learning of RNN -- 3 Results and Discussion -- 3.1 Uncertainty Analysis -- 4 Conclusion -- References -- Efficient Intrusion Detection and Classification Using Enhanced MLP Deep Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References.
Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Results and Discussions -- 5 Conclusions -- References -- Predicting Students' Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- Smart Computing -- Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 List of Cotton Diseases -- 4 Materials and Methods -- 4.1 Dataset and Data Augmentation -- 4.2 CNN Pre-trained Architectures -- 4.3 Classification by Proposed CNN -- 5 Results and Discussions of Research -- 5.1 Pre-trained Model -- 6 Conclusion -- References -- Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals -- 1 Introduction -- 2 Literature Survey -- 2.1 Classification of Emotion Recognition Strategies -- 3 Research Gaps and Issues -- 4 Analysis and Discussion -- 4.1 Analysis with Respect to Publication years -- 4.2 Analysis on the Basis of Strategies -- 4.3 Analysis on the Basis of Implementation Tool -- 4.4 Analysis in Terms of Employed Datasets -- 4.5 Analysis on the Basis of Evaluation Measures -- 4.6 Analysis Using Evaluation Measures Values -- 5 Conclusion -- References -- An Image Performance Against Normal, Grayscale and Color Spaced Images -- 1 Introduction -- 2 Overview of Image Matching Techniques -- 2.1 SIFT -- 2.2 SURF -- 2.3 ORB -- 3 Experimental Results -- 3.1 L*A*B* Color Space -- 4 Conclusion -- References -- Study of X Ray Detection Using CNN in Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Methods.
3 Algorithm CNN Model Algorithm Model = Sequential().
Record Nr. UNINA-9910644261503321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
Advancements in smart computing and information security : first international conference, ASCIS 2022, Rajkot, India, November 24-26, 2022, revised selected papers, part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (482 pages)
Disciplina 943.005
Collana Communications in Computer and Information Science
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-23092-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part I -- Contents - Part II -- Artificial Intelligence -- Galaxy Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Proposed Deep Galaxies CNN Model -- 3.3 Overview of Algorithms -- 4 Comparative Results -- 4.1 Model Accuracy -- 5 Conclusion and Future Scope -- References -- Word Sense Disambiguation for Hindi Language Using Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Variants of Word Sense Disambiguation Work -- 2.3 Existing Approaches for Disambiguation -- 3 Proposed Approach for WSD -- 3.1 Architecture of the Proposed WSD Model -- 3.2 Implementation Details -- 4 Result Discussion -- 5 Conclusion and Future Directions -- References -- Social Media Addiction: Analysis on Impact of Self-esteem and Recommending Methods to Reduce Addiction -- 1 Introduction -- 2 Related Work -- 3 Measures -- 3.1 Bergen Social Media Addiction Scale (BSMAS) [5] -- 3.2 Rosenberg Self-esteem Scale (RSES) [5] -- 3.3 Recommendation Methods [14, 15] -- 3.4 Dataset Collection 1 -- 3.5 Dataset Collection 2 -- 4 Proposed Methodology -- 4.1 Statistical Analysis -- 4.2 Recommendation System -- 5 Results and Discussion -- 5.1 Statistical Analysis.
5.2 Recommendation System -- 6 Conclusion -- References -- A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding -- 1 Introduction -- 2 Types of Noises -- 2.1 Speckle Noise -- 2.2 Gaussian Noise -- 2.3 Salt and Pepper Noise -- 3 Proposed Work for Document Image Enhancement -- 3.1 Edge Preserving Image Smoothing -- 3.2 Gray Level Reduction -- 3.3 Image Thresholding Using Otsu's Method -- 4 Experimentation and Results -- 5 Conclusions and Future Work -- References -- A Comparative Assessment of Deep Learning Approaches for Opinion Mining -- 1 Introduction -- 2 Literature Review -- 3 Tools for Opinion Mining -- 4 Deep Learning Techniques -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Recurrent Neural Network (RNN) -- 4.3 Long Short Term Memory (LSTM) -- 4.4 Deep Neural Networks (DNN) -- 4.5 Deep Belief Networks (DBN) -- 4.6 Recursive Neural Network (RECNN) -- 4.7 Hybrid Neural Network -- 5 System Architecture -- 6 Advantages of Deep Learning -- 7 When to Use Deep Learning -- 8 Disadvantages of Deep Learning -- 9 Conclusion -- References -- Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC) -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 3.1 Radio Model -- 3.2 Assumptions -- 4 Proposed Algorithm -- 4.1 Cluster Formation Phase -- 4.2 Cluster Head Selection Phase -- 4.3 Communication Phase -- 5 Analytical Evaluation of Performance -- 5.1 Performance Metrics -- 5.2 Simulation Parameters -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Review of Gait Analysis Based on Age and Gender Prediction -- 1 Introduction -- 2 Gait Analysis and Feature Extraction -- 2.1 Gait and Gait Cycle -- 2.2 Gait and Gait Cycle -- 2.3 Gait and Gait Cycle -- 2.4 Motivation and Application of GEI Motivation -- 3 Evolution Metric -- 4 Related Work.
5 Comparison and Summary of Related Research Work -- 6 Future Work -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Handwritten Signature Verification Using Convolution Neural Network (CNN) -- 1 Introduction -- 1.1 About the Domain -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Converting Image to Binary -- 3.2 Noise Removal -- 3.3 Image Enlargement -- 4 Feature Extraction -- 5 Feature Selection -- 6 Classification -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Energy Consumption in Text Processing Models -- 1 Introduction -- 2 Existing Approaches -- 3 Exploration of the Data-Set -- 3.1 Average Word Length -- 3.2 Average Character Length -- 3.3 Number of Comments -- 4 Modelling -- 4.1 Simple Machine Learning Model -- 4.2 DistilBERT Model -- 4.3 Conv1D Model -- 4.4 Gated Recurrence Unit - GRU Model -- 5 Results -- 6 Conclusion -- References -- Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach - A Review -- 1 Introduction -- 1.1 6G Vision -- 1.2 Technical Objectives of 6G -- 2 Resource Allocation for 6G Wireless Networks -- 3 Summary of Deep Learning Algorithms Used for 6G Wireless Networks Resource Allocation -- 4 Conclusion and Future Scope -- Appendix -- References -- Automation of Rice Leaf Diseases Prediction Using Deep Learning Hybrid Model VVIR -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 5 Discussion -- References -- A Review Based on Machine Learning for Feature Selection and Feature Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Feature Selection -- 2.2 Reducing the Dimensionality -- 3 Related Works -- 3.1 Feature Selection Approaches -- 3.2 Feature Extraction Approaches -- 4 Discussion -- 5 Conclusion -- References -- Automating Scorecard and Commentary Based on Umpire Gesture Recognition -- 1 Introduction.
2 Literature Survey -- 3 Methodology -- 3.1 Umpire Gestures -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Classification of Umpire Gestures -- 3.5 Scorecard Updating Feature -- 4 Results and Discussion -- 5 Conclusion -- References -- Rating YouTube Videos: An Improvised and Effective Approach -- 1 Introduction -- 2 Previous Work -- 3 Implementation -- 3.1 Comment Collection and Preprocessing -- 3.2 Sentiment Measure -- 3.3 Word Cloud -- 3.4 Video Rating -- 4 Performance Review of Proposed Approach -- 4.1 Major Application: Detection of Clickbait Videos -- 5 Limitations and Loopholes -- 6 Result -- 7 Conclusion -- 8 Future Work -- References -- Classification of Tweet on Disaster Management Using Random Forest -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Training, Validation and Testing -- 3.3 Feature Extraction -- 3.4 Random Forest Classification -- 3.5 Location Extraction -- 4 Results and Discussions -- 5 Datasets -- 6 Experiment -- 7 Validation -- 8 Conclusions -- References -- Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Model Clay Barrier's Compositional Characteristics -- 2.2 Geogrid -- 2.3 Measuring Subgrade Stiffness -- 2.4 Multi Objective Function -- 2.5 Improving Settlement-Based Geogrid using Hybrid RNN-EHO Technique -- 2.6 The Procedure of the EHO in Realizing the Learning of RNN -- 3 Results and Discussion -- 3.1 Uncertainty Analysis -- 4 Conclusion -- References -- Efficient Intrusion Detection and Classification Using Enhanced MLP Deep Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References.
Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Results and Discussions -- 5 Conclusions -- References -- Predicting Students' Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- Smart Computing -- Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 List of Cotton Diseases -- 4 Materials and Methods -- 4.1 Dataset and Data Augmentation -- 4.2 CNN Pre-trained Architectures -- 4.3 Classification by Proposed CNN -- 5 Results and Discussions of Research -- 5.1 Pre-trained Model -- 6 Conclusion -- References -- Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals -- 1 Introduction -- 2 Literature Survey -- 2.1 Classification of Emotion Recognition Strategies -- 3 Research Gaps and Issues -- 4 Analysis and Discussion -- 4.1 Analysis with Respect to Publication years -- 4.2 Analysis on the Basis of Strategies -- 4.3 Analysis on the Basis of Implementation Tool -- 4.4 Analysis in Terms of Employed Datasets -- 4.5 Analysis on the Basis of Evaluation Measures -- 4.6 Analysis Using Evaluation Measures Values -- 5 Conclusion -- References -- An Image Performance Against Normal, Grayscale and Color Spaced Images -- 1 Introduction -- 2 Overview of Image Matching Techniques -- 2.1 SIFT -- 2.2 SURF -- 2.3 ORB -- 3 Experimental Results -- 3.1 L*A*B* Color Space -- 4 Conclusion -- References -- Study of X Ray Detection Using CNN in Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Methods.
3 Algorithm CNN Model Algorithm Model = Sequential().
Record Nr. UNISA-996508667303316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Code of fair competition for the punch board manufacturing industry as approved on March 2, 1934
Code of fair competition for the punch board manufacturing industry as approved on March 2, 1934
Pubbl/distr/stampa Washington : , : United States Government Printing Office, , 1934
Descrizione fisica 1 online resource (pages 439-448)
Soggetto topico Punched card systems
Computer input-output equipment - United States
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Punch board manufacturing industry
Record Nr. UNINA-9910705240203321
Washington : , : United States Government Printing Office, , 1934
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data power / / guest editors, Robert Jaschke and Jo Bates
Data power / / guest editors, Robert Jaschke and Jo Bates
Pubbl/distr/stampa Bradford, West Yorkshire : , : Emerald Publishing, , 2019
Descrizione fisica 1 online resource (136 pages)
Disciplina 410.18802855133
Soggetto topico Electronic data processing
Punched card systems
ISBN 1-83982-003-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910793951303321
Bradford, West Yorkshire : , : Emerald Publishing, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data power / / guest editors, Robert Jaschke and Jo Bates
Data power / / guest editors, Robert Jaschke and Jo Bates
Pubbl/distr/stampa Bradford, West Yorkshire : , : Emerald Publishing, , 2019
Descrizione fisica 1 online resource (136 pages)
Disciplina 410.18802855133
Soggetto topico Electronic data processing
Punched card systems
ISBN 1-83982-003-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910816921703321
Bradford, West Yorkshire : , : Emerald Publishing, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Electronic participation : 14th IFIP WG 8. 5 International Conference, EPart 2022, Linköping, Sweden, September 6-8, 2022, proceedings / / edited by Robert Krimmer, [and six others]
Electronic participation : 14th IFIP WG 8. 5 International Conference, EPart 2022, Linköping, Sweden, September 6-8, 2022, proceedings / / edited by Robert Krimmer, [and six others]
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (213 pages)
Disciplina 943.005
Collana Lecture Notes in Computer Science
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-23213-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Voter authentication in remote electronic voting governmental experiences: requirements and practices -- Using Open Government Data to Facilitate the Design of Voting Advice Applications -- Investigating Trust and Risk Perceptions in a Hybrid Citizen Journey -- Applications of Data-driven Policymaking in the Local Energy Transition: a Multiple-Case Study in the Netherlands -- The Great Divide: Empirical Evidence of a Decoupling of Digital Transformation and Sustainability -- Sharing, Cooperation or Collective Action? A Research Agenda for Online Interaction in Digital Global Governance -- Similarity-based Dataset Recommendation across Languages and Domains to Sentiment Analysis in the Electoral Domain -- Genres of Participation in Social Networking Systems: A Study of the 2021 Norwegian Parliamentary Election -- Digitising the Judicial Sector: A Case Study of the Dutch KEI Programme -- A Song of Digitization and Law: Design Requirements for a Digitization Check of the Legislative Process -- dministrative Burden in Digital Self-Service: An Empirical Study About Citizens in Need of Financial Assistance -- The human touch meets digitalization: on discretion in digitized services.
Record Nr. UNINA-9910640377903321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Electronic participation : 14th IFIP WG 8. 5 International Conference, EPart 2022, Linköping, Sweden, September 6-8, 2022, proceedings / / edited by Robert Krimmer, [and six others]
Electronic participation : 14th IFIP WG 8. 5 International Conference, EPart 2022, Linköping, Sweden, September 6-8, 2022, proceedings / / edited by Robert Krimmer, [and six others]
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (213 pages)
Disciplina 943.005
Collana Lecture Notes in Computer Science
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-23213-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Voter authentication in remote electronic voting governmental experiences: requirements and practices -- Using Open Government Data to Facilitate the Design of Voting Advice Applications -- Investigating Trust and Risk Perceptions in a Hybrid Citizen Journey -- Applications of Data-driven Policymaking in the Local Energy Transition: a Multiple-Case Study in the Netherlands -- The Great Divide: Empirical Evidence of a Decoupling of Digital Transformation and Sustainability -- Sharing, Cooperation or Collective Action? A Research Agenda for Online Interaction in Digital Global Governance -- Similarity-based Dataset Recommendation across Languages and Domains to Sentiment Analysis in the Electoral Domain -- Genres of Participation in Social Networking Systems: A Study of the 2021 Norwegian Parliamentary Election -- Digitising the Judicial Sector: A Case Study of the Dutch KEI Programme -- A Song of Digitization and Law: Design Requirements for a Digitization Check of the Legislative Process -- dministrative Burden in Digital Self-Service: An Empirical Study About Citizens in Need of Financial Assistance -- The human touch meets digitalization: on discretion in digitized services.
Record Nr. UNISA-996508671903316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
The evolution of pervasive information systems / / edited by Manuele Kirsch Pinheiro, [and three others]
The evolution of pervasive information systems / / edited by Manuele Kirsch Pinheiro, [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (195 pages)
Disciplina 943.005
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-18176-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- What Is a "Pervasive Information System" (PIS)? -- 1 Introduction -- 2 What Is an Information System (IS)? -- 3 Information System Evolution: Towards a Pervasive Information System -- 4 Defining Pervasive Information System -- 5 PIS Requirements and Characteristics -- 5.1 Minimal Requirements -- 5.2 Additional Characteristics -- 6 Final Remarks -- References -- Design and Modeling in Pervasive Information Systems -- 1 Introduction -- 2 Research Approach -- 3 Results of the Systematic Mapping Study -- 3.1 RQ1. What Is the Distribution Evolution of the Sources? -- 3.2 RQ2. How Is Addressed the Design and Modeling of Pervasive Information Systems in Research Proposals? -- 3.2.1 Paper Type -- 3.2.2 Nature of the Proposal -- 3.2.3 Added Value of the Proposal -- 3.2.4 Usage of the IoT Based System -- 3.2.5 Application Domain -- 3.2.6 Discussion -- 3.3 RQ3. How Are Met the PIS Requirements in These Design-Dedicated Research Proposals? -- 4 Conclusion and Open Issues -- References -- SMS References*12pt -- The Context Awareness Challenges for PIS -- 1 Introduction -- 2 Literature Review -- 3 Towards a Context Facility -- 4 Impact of a Context Facility Vision on Context Management -- 5 Discussion -- 6 Conclusion -- Bibliography -- Middleware Supporting PIS: Requirements, Solutions, and Challenges -- 1 Introduction -- 2 Requirements for PIS Middleware -- 2.1 Sensing and Actuation Support -- 2.2 Context-Awareness -- 2.3 Dynamic Adaptation Capabilities -- 2.4 Quality of Context Management -- 2.5 Application Development Support -- 2.6 Support for Multiple Interaction Patterns -- 2.7 Enabling Interoperability -- 2.8 Security and Privacy -- 2.9 Scalability -- 2.10 Energy Efficiency and Energy-Awareness -- 3 State of the Art on Middleware Supporting PIS Requirements -- 3.1 QoC Management.
3.2 Protocols for Multiple Interaction Patterns -- 3.3 Enabling Interoperability -- 3.4 Security and Privacy -- 3.5 Scalability -- 3.6 Energy Efficiency and Energy-Awareness -- 4 PIS Middleware Proposals -- 4.1 QoC Management with QoCIM and Processing Functions -- 4.2 muDEBS -- 4.3 DeX Mediators -- 4.4 QoDisco -- 4.5 IoTVar -- 5 Open Challenges for Future PIS Middleware -- 5.1 Enabling End-to-End Interoperability -- 5.2 PIS Adaptive Middleware -- 5.3 Support to Develop PIS Relying on Middleware -- 5.4 Privacy and Security -- 5.5 Context Data Sampling and Filtering -- 5.6 PIS Sustainability -- 6 Conclusion -- References -- Edge Computing and Learning -- 1 Introduction -- 2 Edge Computing in Pervasive Computing -- 2.1 Principles and Examples -- 2.2 Terminology -- 3 Edge Pervasive Applications -- 3.1 Challenges -- 3.1.1 Application Design -- 3.1.2 Application Security -- 3.1.3 Application Data -- 3.1.4 Application Context -- 3.1.5 Application Placement -- 3.2 Pervasive Platforms -- 3.3 Conclusion -- 4 Machine Learning on the Edge -- 4.1 Principles -- 4.2 A Variety of Actors -- 4.3 A Specific Life-Cycle -- 4.4 Conclusion -- 5 Challenges -- 5.1 Model Development -- 5.2 Installation -- 5.3 Configuration -- 5.4 Data Collection -- 5.5 Model Execution -- 5.6 Model Monitoring -- 5.7 Model Update -- 6 Recent Trends -- 6.1 Microservice-Based Platform -- 6.2 Federated Learning -- 7 Conclusion -- References -- PIS: IoT & -- Industry 4.0 Challenges -- 1 Introduction -- 2 State of the Art -- 3 Existing Solutions -- 3.1 IIoT Protocols -- 3.2 Industry 4.0 Architectures -- 3.3 Standards -- 4 Discussions -- 5 Conclusions -- References -- PIS: Interoperability and Decision-Making Process-A Review -- 1 Introduction -- 2 Background and Related Reviews -- 3 Systematic Research Process -- 4 IT Artifacts for Interoperability and Their Implications in PIS/SoIS.
5 Ten Factors Influencing PIS/SoIS Interoperability -- 5.1 Technical Factors -- 5.2 Human Factors -- 5.3 Organizational Factors -- 5.4 Impact of Interoperability Factors in the Decision-making Processes -- 6 Key Findings and Reflections -- 7 Final Remarks and Future Directions -- References.
Record Nr. UNINA-9910639899903321
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The evolution of pervasive information systems / / edited by Manuele Kirsch Pinheiro, [and three others]
The evolution of pervasive information systems / / edited by Manuele Kirsch Pinheiro, [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (195 pages)
Disciplina 943.005
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-18176-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- What Is a "Pervasive Information System" (PIS)? -- 1 Introduction -- 2 What Is an Information System (IS)? -- 3 Information System Evolution: Towards a Pervasive Information System -- 4 Defining Pervasive Information System -- 5 PIS Requirements and Characteristics -- 5.1 Minimal Requirements -- 5.2 Additional Characteristics -- 6 Final Remarks -- References -- Design and Modeling in Pervasive Information Systems -- 1 Introduction -- 2 Research Approach -- 3 Results of the Systematic Mapping Study -- 3.1 RQ1. What Is the Distribution Evolution of the Sources? -- 3.2 RQ2. How Is Addressed the Design and Modeling of Pervasive Information Systems in Research Proposals? -- 3.2.1 Paper Type -- 3.2.2 Nature of the Proposal -- 3.2.3 Added Value of the Proposal -- 3.2.4 Usage of the IoT Based System -- 3.2.5 Application Domain -- 3.2.6 Discussion -- 3.3 RQ3. How Are Met the PIS Requirements in These Design-Dedicated Research Proposals? -- 4 Conclusion and Open Issues -- References -- SMS References*12pt -- The Context Awareness Challenges for PIS -- 1 Introduction -- 2 Literature Review -- 3 Towards a Context Facility -- 4 Impact of a Context Facility Vision on Context Management -- 5 Discussion -- 6 Conclusion -- Bibliography -- Middleware Supporting PIS: Requirements, Solutions, and Challenges -- 1 Introduction -- 2 Requirements for PIS Middleware -- 2.1 Sensing and Actuation Support -- 2.2 Context-Awareness -- 2.3 Dynamic Adaptation Capabilities -- 2.4 Quality of Context Management -- 2.5 Application Development Support -- 2.6 Support for Multiple Interaction Patterns -- 2.7 Enabling Interoperability -- 2.8 Security and Privacy -- 2.9 Scalability -- 2.10 Energy Efficiency and Energy-Awareness -- 3 State of the Art on Middleware Supporting PIS Requirements -- 3.1 QoC Management.
3.2 Protocols for Multiple Interaction Patterns -- 3.3 Enabling Interoperability -- 3.4 Security and Privacy -- 3.5 Scalability -- 3.6 Energy Efficiency and Energy-Awareness -- 4 PIS Middleware Proposals -- 4.1 QoC Management with QoCIM and Processing Functions -- 4.2 muDEBS -- 4.3 DeX Mediators -- 4.4 QoDisco -- 4.5 IoTVar -- 5 Open Challenges for Future PIS Middleware -- 5.1 Enabling End-to-End Interoperability -- 5.2 PIS Adaptive Middleware -- 5.3 Support to Develop PIS Relying on Middleware -- 5.4 Privacy and Security -- 5.5 Context Data Sampling and Filtering -- 5.6 PIS Sustainability -- 6 Conclusion -- References -- Edge Computing and Learning -- 1 Introduction -- 2 Edge Computing in Pervasive Computing -- 2.1 Principles and Examples -- 2.2 Terminology -- 3 Edge Pervasive Applications -- 3.1 Challenges -- 3.1.1 Application Design -- 3.1.2 Application Security -- 3.1.3 Application Data -- 3.1.4 Application Context -- 3.1.5 Application Placement -- 3.2 Pervasive Platforms -- 3.3 Conclusion -- 4 Machine Learning on the Edge -- 4.1 Principles -- 4.2 A Variety of Actors -- 4.3 A Specific Life-Cycle -- 4.4 Conclusion -- 5 Challenges -- 5.1 Model Development -- 5.2 Installation -- 5.3 Configuration -- 5.4 Data Collection -- 5.5 Model Execution -- 5.6 Model Monitoring -- 5.7 Model Update -- 6 Recent Trends -- 6.1 Microservice-Based Platform -- 6.2 Federated Learning -- 7 Conclusion -- References -- PIS: IoT & -- Industry 4.0 Challenges -- 1 Introduction -- 2 State of the Art -- 3 Existing Solutions -- 3.1 IIoT Protocols -- 3.2 Industry 4.0 Architectures -- 3.3 Standards -- 4 Discussions -- 5 Conclusions -- References -- PIS: Interoperability and Decision-Making Process-A Review -- 1 Introduction -- 2 Background and Related Reviews -- 3 Systematic Research Process -- 4 IT Artifacts for Interoperability and Their Implications in PIS/SoIS.
5 Ten Factors Influencing PIS/SoIS Interoperability -- 5.1 Technical Factors -- 5.2 Human Factors -- 5.3 Organizational Factors -- 5.4 Impact of Interoperability Factors in the Decision-making Processes -- 6 Key Findings and Reflections -- 7 Final Remarks and Future Directions -- References.
Record Nr. UNISA-996547958803316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Information integration and web intelligence : 24th international conference, IiWAS 2022, virtual event, November 28-30, 2022, proceedings / / edited by Eric Pardede, [and three others]
Information integration and web intelligence : 24th international conference, IiWAS 2022, virtual event, November 28-30, 2022, proceedings / / edited by Eric Pardede, [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (594 pages)
Disciplina 943.005
Collana Lecture Notes in Computer Science
Soggetto topico Electronic data processing
Punched card systems
ISBN 3-031-21047-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910631082703321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui