
Artificial Intelligence Applications and Innovations
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The 6 full papers and 4 short papers presented at MHDW 2019 were carefully reviewed and selected from 13 submissions; out of the 14 papers submitted to 5G-PINE 2019, 6 were accepted as full papers and 1 as short paper. The MHDW papers focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (such as decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of humanistic sciences, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, and ubiquitous computing and bioinformatics. The papers presented at 5G-PINE focus on several innovative findings coming directly from modern European research in the area of modern 5G telecommunications infrastructures and related innovative services and cover a wide variety of technical and business aspects promoting options for growth and development.
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Content
- Intro
- Preface
- AIAI 2019 Workshops
- Organization
- Contents
- 4th Workshop on "5G-Putting Intelligence to the Network Edge" (5G-PINE 2019)
- Preface
- 4th Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2019)
- Organization
- 4th Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2019)
- Program Chairs
- Program Committee
- A Cloud-Based Architecture for Video Services in Crowd Events
- Abstract
- 1 Introduction
- 2 Use Case Description
- 3 Architectural Components
- 3.1 Hotspot LTE eMBMS
- 3.2 Edge Video Orchestrator and Distributor
- 3.3 Radio Access and Small Cells
- 3.4 User Equipment
- 3.5 Main Data Center
- 4 Cloud Testbed
- 4.1 NCSR "Demokritos" (NCSRD) Campus
- 4.2 OTE Testbed
- 4.3 Egaleo Stadium
- 5 Discussion
- Acknowledgements
- References
- A New Self-planning Methodology Based on Signal Quality and User Traffic in Wi-Fi Networks
- Abstract
- 1 Introduction
- 2 Proposed Self-planning Methodology
- 3 AP Relocation Algorithm
- 4 Performance Evaluation
- 5 Conclusions
- Acknowledgements
- References
- Enhanced Mobile Broadband as Enabler for 5G: Actions from the Framework of the 5G-DRIVE Project
- Abstract
- 1 Introduction
- 2 Enhanced Mobile Broadband as Fundamental Enabler of the "First Phase of 5G"
- 3 eMBB Within the Context of the 5G-DRIVE Project
- 3.1 eMBB Trials Scenarios in the 5G-DRIVE Framework
- 3.2 KPIs for the Assessment of the eMBB Trials
- 4 Conclusion
- Acknowledgments
- References
- Inclusion of Telemetry and Data Analytics in the Context of the 5G ESSENCE Architectural Approach
- Abstract
- 1 Introduction
- 2 Telemetry and Analytics in the 5G Ecosystem
- 3 Telemetry, Analytics and Orchestration Framework in the Revised 5G ESSENCE Architecture
- 3.1 Telemetry Module
- 3.2 Analytics Module and Orchestration Module
- 4 Conclusion
- Acknowledgments
- References
- A Framework to Support the Role of Telecommunication Service Providers in Evolving 5G Business Models
- Abstract
- 1 Introduction
- 2 Business Roles in the 5G Ecosystem
- 3 MATILDA Framework and Users
- 3.1 MATILDA Solution
- 3.2 MATILDA Framework Users and Interactions
- 4 MATILDA Value Proposition Analysis for Telecommunication Service Providers
- 5 Discussion
- Acknowledgements
- References
- Orchestration of Mission-Critical Services over an NFV Architecture
- Abstract
- 1 Introduction
- 2 Related Work
- 3 Deployment of Mission Critical Push-to-Talk over an NFV Architecture
- 3.1 Platform Specifications
- 3.2 Service Specifications
- 4 Validation Scenario
- 5 Monitoring and Orchestration
- 6 Conclusions and Future Work
- Acknowledgements
- References
- Testbeds for the Implementation of 5G in the European Union: The Innovative Case of the 5G-DRIVE Project
- Abstract
- 1 Introduction
- 2 Actions for Tests-Trials at EU Level Towards the 5G Promotion
- 3 The Context of the 5G-DRIVE Project
- 4 Conclusion
- Acknowledgments
- References
- A Techno-Economic Analysis of Employing a Central Coordinator Entity in 5G Networks
- Abstract
- 1 Introduction
- 2 COHERENT Architecture and C3 Entity
- 3 Techno-Economic Analysis
- 3.1 Financial Model
- 3.2 C3 Producer
- 3.3 Operator
- 4 Results
- 5 Conclusion
- Acknowledgments
- References
- Trustworthy AI for 5G: Telco Experience and Impact in the 5G ESSENCE
- Abstract
- 1 Introduction
- 2 Approaches for Realizing Trustworthy AI for 5G Solutions
- 3 AI Packed Approach to 5G Business Case
- 4 The 5G ESSENCE Solution
- 5 Conclusion
- Acknowledgements
- References
- Regulatory Considerations in the 5G Era: The 5GCity Neutral Host Case
- Abstract
- 1 5G and the Need for Densification
- 2 Regulatory Considerations in the 5G Era
- 2.1 Network Equipment Certification and Permits
- 2.2 Site Availability
- 2.3 Electrical Power
- 2.4 Access to Public Furniture and Fiber Networks
- 2.5 Spectrum
- 2.6 Radiation
- 3 Spectrum Auction in Italy and the NH Model
- 4 Neutral Host-Specific Regulatory Considerations
- 4.1 Ensure Neutrality
- 4.2 No Retail Services
- 4.3 Price Regulation
- 4.4 Spectrum Ownership
- 4.5 Stakeholders Opinion About NH Regulatory Considerations
- 5 Conclusions
- Acknowledgement
- References
- 8th Mining Humanistic Data Workshop (MHDW 2019)
- Preface
- 8th Mining Humanistic Data Workshop (MHDW 2019)
- Organization
- 8th Mining Humanistic Data Workshop (MHDW 2019)
- Steering Committee
- Program Chairs
- Program Committee
- An Approach for Domain-Specific Design Pattern Identification Based on Domain Ontology
- Abstract
- 1 Introduction
- 2 Related Work and Contribution
- 3 The Approach
- 3.1 Identification of Recurrent Patterns in Domain-Specific Designs
- 3.1.1 Evaluation Based on Domain Ontology
- 3.1.2 Evaluation Based on Consistent Use and Effectiveness
- 4 Conclusions and Future Work
- References
- Pre-processing Framework for Twitter Sentiment Classification
- 1 Introduction
- 2 Related Work
- 3 Tools and Environment
- 3.1 Twitter
- 3.2 Publications Mining Tools
- 3.3 Pre-processing Scheme
- 3.4 Features
- 3.5 Topic Modeling
- 4 Evaluation
- 5 Conclusions and Future Work
- References
- Computing Long Sequences of Consecutive Fibonacci Integers with TensorFlow
- 1 Introduction
- 2 Previous Work
- 3 Fibonacci Numbers
- 4 TensorFlow Implementation
- 5 Conclusions and Future Work
- References
- Employing Constrained Neural Networks for Forecasting New Product's Sales Increase
- 1 Introduction
- 2 Related Work
- 3 Weight-Constrained Neural Networks
- 4 Dataset
- 5 Experimental Results
- 5.1 Performance Evaluation of Weight-Constrained Neural Networks Against Classical Neural Networks
- 5.2 Performance Evaluation of Weight-Constrained Neural Networks Against State-of-the-Art Machine Learning Algorithms
- 6 Conclusions
- References
- Language Processing for Predicting Suicidal Tendencies: A Case Study in Greek Poetry
- 1 Introduction
- 2 Data Collection
- 3 Feature Description
- 3.1 Vocabulary Features
- 3.2 Morphosyntactic Features
- 3.3 Semantic Class Features
- 4 Prediction Results
- 5 Discussion
- 6 Conclusion and Future Work
- References
- Recognition of Urban Sound Events Using Deep Context-Aware Feature Extractors and Handcrafted Features
- 1 Introduction
- 2 General Scheme
- 3 Audio Classification Based on Handcrafted Audio Features
- 4 Context-Aware Deep Learning
- 4.1 Convolutional Neural Networks
- 4.2 Context-Aware Deep Audio Feature Extractors
- 5 Experimental Evaluation
- 5.1 Sound Event Datasets
- 5.2 Experimental Results
- 6 Conclusions
- References
- Studying the Spatialities of Short-Term Rentals' Sprawl in the Urban Fabric: The Case of Airbnb in Athens, Greece
- 1 Introduction
- 2 The Spatialities of Short-Term Rentals
- 3 The Impact on Long-Term Rentals
- 4 The Case of Athens, Greece
- 4.1 Data
- 4.2 Discussion
- 5 Conclusions
- References
- A Brief Overview of Dead-Zone Pattern Matching Algorithms
- 1 Introduction and Related Work
- 2 Mathematical Preliminaries
- 3 The Problem and a First Algorithm
- 4 A More Deterministic Algorithm
- 5 Reusing Match Information
- 5.1 Range Predicate Strengthening
- 6 Choosing j from the Live Zone
- 6.1 Minimal Element-Towards the Classical Boyer-Moore Algorithm
- 6.2 Recursion
- 7 Conclusions
- References
- On the Cyclic Regularities of Strings
- 1 Introduction and Related Work
- 2 Preliminaries
- 3 Computing k-cyclic Periodicity
- 4 Computing All Cyclic Periodicities
- 5 Computing Maximal Local k-cyclic Periodicity
- 6 Computing k'-cyclic Coverability
- 7 Computing All Cyclic Coverability
- 8 Conclusions and Open Problems
- References
- Paid Crowdsourcing, Low Income Contributors, and Subjectivity
- 1 Introduction
- 2 Task
- 3 Quality of Workers and Contributions
- 4 Testing the Hypothesis
- 5 Conclusion
- References
- Predicting Secondary Structure for Human Proteins Based on Chou-Fasman Method
- 1 Introduction
- 2 Background Topics
- 2.1 Homology Modeling
- 2.2 Protein Fold Recognition
- 3 Prediction Tools and Methods
- 3.1 Secondary Structure Prediction
- 3.2 Chou-Fasman Method
- 4 Experimental Methodology
- 5 Conclusions and Future References
- References
- Author Index
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