Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference
1st Edition
Published on 9. September 2021
XIX, 216 pages
978-3-030-86887-1 (ISBN)
Description
This book highlights the latest research on distributed computing and artificial intelligence. DCAI 2021 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This year's technical program will present both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 55 papers were submitted to main track and special sessions, by authors from 24 different countries representing a truly "wide area network" of research activity. Moreover, DCAI 2021 Special Sessions have been a very useful tool in order to complement the regular program with new or emerging topics of particular interest to the participatingcommunity. The technical program of the Special Sessions of DCAI 2021 has selected 23 papers. We would like to thank all the contributing authors, the members of the Program Committees, the sponsors (IBM, Armundia Group, EurAI, AEPIA, APPIA, CINI, OIT, UGR, HU, SCU, USAL, AIR Institute and UNIVAQ) and the Organizing Committee of the University of Salamanca for their hard and highly valuable work.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XIX, 216 p. 95 illus., 66 illus. in color.
File size
25,12 MB
ISBN-13
978-3-030-86887-1 (9783030868871)
DOI
10.1007/978-3-030-86887-1
Schweitzer Classification
Other editions
Additional editions
Sara Rodríguez González | José Manuel Machado | Alfonso González-Briones
Distributed Computing and Artificial Intelligence, Volume 2: Special Sessions 18th International Conference
Book
09/2021
Springer
€160.49
Shipment within 7-9 days
Content
- Intro
- Preface
- Organization
- Honorary Chairman
- Advisory Board
- Program Committee Chairs
- Organizing Committee Chair
- Workshop Chair
- Organizing Committee
- DCAI 2021 Sponsors
- Special Session on AI-Driven Methods for Multimodal Networks and Processes Modeling (AIMPM 2021)
- Organizing Committee
- Chairs
- Co-chairs
- Special Session on Computational Linguistics, Information, Reasoning, and AI 2021 (CompLingInfoReasAI'21)
- Organizing Committee
- Program Committee
- Special Session on Surveying and Maritime Internet of Things Education (SMITE 2021)
- Organizing Committee
- Special session on Theory and Applications of Mathematical Models in Computer Science and Artificial Intelligence (TAMMCSAI)
- Organizing Committee
- Program Committee
- Contents
- Special Session on AI-driven methods for Multimodal Networks and Processes Modeling (AIMPM'21)
- Declarative Approach to UAVs Mission Contingency Planning in Dynamic Environments
- 1 Introduction
- 2 Approach to UAVs Fleet Online Routing
- 3 CSP Formulation
- 4 Constraints Relaxation
- 5 Computational Experiments
- 6 Conclusions
- References
- Model of Employee Competence Configuration in SCM
- 1 Introduction
- 2 Location of the Employee Competence Configuration Problem for the Sample Supply Chain
- 3 Employee Competence Configuration Model
- 4 Computational Examples
- 5 Conclusions
- References
- A Structural and Functional Design for Resource Deployments in Ad Hoc Multimodal Service Systems
- 1 Ad Hoc Multimodal Service Systems (AHMSS)
- 2 Domain Model for AHMSS
- 3 Challenges in Decision-Making for AHMSS
- 4 A Structural and Functional Design of the DSS
- 4.1 The Data Structure of a DSS
- 4.2 Key Functions of the DSS
- 4.3 Constraints on the Functions of the DSS
- 4.4 Critical Technologies and Methods Enabling the DSS
- 5 Discussion and Conclusion
- References
- Repair of Multithreaded Errors in the Control and Measurement System
- 1 Introduction
- 2 Background to the Problem
- 2.1 Control and Measurement Systems
- 2.2 System Architecture
- 3 Errors in Multithreaded Applications
- 3.1 Problem Diagnosis
- 3.2 Ways of Detecting Multithreaded Errors
- 4 Use of MASCM Method
- 4.1 MASCM
- 4.2 Occurrence of a Race Condition Class Error
- 4.3 Verification of System Operation After Modifications
- 5 Summary
- References
- Special Session on Computational Linguistics, Information, Reasoning, and AI 2021 (CompLingInfoReasAI'21)
- A Case Study in Computer-Assisted Meta-reasoning
- 1 Introduction
- 2 Related Work
- 3 Development in Isabelle
- 4 The Haskell Code
- 5 Natural Language Example
- 6 On Automated Reasoning
- 7 Conclusions and Future Work
- References
- Fuzzy Natural Logic for Sentiment Analysis: A Proposal
- 1 Introduction
- 2 Lexicon Based Approach
- 3 Fuzzy Natural Logic (FNL)
- 3.1 Modeling Evaluative Expressions in FNL
- 3.2 Modeling the Meaning of Words in FNL
- 4 Fuzzy Natural Logic in Sentiment Analysis
- 5 Final Remarks
- References
- ITUTime: Turkish Temporal Expression Extraction and Normalization
- 1 Introduction
- 2 Related Works
- 3 Temporal Expression Types
- 4 System Description
- 4.1 Preprocessing
- 4.2 Text Number Normalization
- 4.3 Detector
- 4.4 Normalizer
- 4.5 Text Number Restoration
- 4.6 Limitations
- 5 Dataset
- 6 Evaluation
- 6.1 Error Analysis
- 7 Conclusion and Future Studies
- References
- Automated Metaphor Identification in Russian and Its Implications for Metaphor Studies
- 1 Metaphor as a Computational Problem
- 2 Description of the System
- 2.1 Metaphor Identification Features
- 2.2 Experimental Setup
- 3 Results
- 4 Discussion: What Can Experiments Tell Us About Metaphor?
- References
- Special Session on Surveying and Maritime Internet of Things Education (SMITE'21)
- Smart Agriculture System Integrating LoRaWAN and Edge Computing Technologies
- 1 Introduction
- 2 System Overview
- 3 Methodology
- 4 Results
- 5 Conclusion
- References
- Marine Surveying Education by Implementing Artificial Intelligence on Remotely Operated Underwater Vehicle Sensors
- 1 Introduction
- 2 Experimental Setup
- 2.1 The Remotely Operated Underwater Vehicle
- 2.2 Sensor Cluster and Data Transfer
- 2.3 Software and Connectivity
- 3 Artificial Intelligence
- 4 Conclusions
- References
- Design and Configuration of Software Tools for the Remote Performance of Laboratory Experiments in Marine Survey Education
- 1 Introduction
- 2 Remote Measurement Process
- 2.1 Process Overview
- 2.2 Backbone Code
- 2.3 Database Data Retrieval Tool
- 2.4 Graphical User Interface
- 3 Case Study
- 4 Conclusions
- References
- Special session on Theory and Applications of Mathematical Models in Computer Science and Artificial Intelligence (TAMMCSAI'21)
- About the Reversibility of Elementary Cellular Automata with Rule Number 180
- 1 Introduction
- 2 Elementary Cellular Automata
- 2.1 Basic Theory
- 2.2 The ECA with Rule Number 180
- 3 Reversibility in One-Dimensional CA
- 4 The Reversibility Problem for ECA 180
- 5 Conclusions
- References
- Automatic Generator of Loading Rules and Its Applications on Logistics Operations
- 1 Introduction
- 1.1 Motivation and Context
- 1.2 Contribution
- 2 Problem Description
- 2.1 Notation and Definitions
- 2.2 Strategies to Create Feasible Sequences and Their Complexity
- 2.3 Computational Results
- 3 Application on Stowage Planning
- 4 Conclusions
- References
- Distress Detection in Road Pavements Using Neural Networks
- 1 Introduction
- 2 Background
- 2.1 Artificial Neural Networks and Autoencoders
- 3 Related Work
- 4 Expirements and Results
- 4.1 Baseline - Binary Classifier
- 4.2 AE and VAE Models
- 5 Conclusion
- 5.1 Discussion
- 5.2 Conclusions
- 5.3 Future Work
- References
- Analyzing Metrics to Understand Human Mobility Phenomena: Challenges and Solutions
- 1 Introduction
- 2 Understanding Common Metrics in Human Mobility Research
- 2.1 Spatial Resolution of Categorisation and Aggregation
- 2.2 Temporal Resolution of Categorisation and Aggregation
- 3 Detailed Analysis of Human Mobility Patterns
- 3.1 Data Collection
- 3.2 Exploring Human Mobility Metrics
- 4 Results and Discussion
- 5 Conclusions
- References
- The Relationship Between Financial Execution in R&D and Scientific Production
- 1 Introduction
- 2 Background
- 2.1 Research at UMinho
- 2.2 Covid-19 Impact on UMinho's R&D Projects
- 2.3 Scopus Database
- 3 Methodology
- 4 Results
- 4.1 Financial Execution
- 4.2 Scientific Production
- 4.3 Correlation Between Financial Execution and Scientific Production
- 5 Conclusions and Future Work
- References
- Doctoral Consortium
- Adaptive Recommendation in Online Environments
- 1 Introduction
- 2 Related Works
- 3 Keys Challenges
- 4 Research Question and Proposal Work
- 5 Final Remarks
- References
- Data Integration in Shop Floor for Industry 4.0
- 1 Problem Statement
- 2 Related Work
- 3 Hypothesis
- 4 Proposal
- 5 Final Reflections
- References
- Distributed Architecture Proposal for Efficient Energy Management of Road Lighting in Urban Environments
- 1 Problem Statement
- 2 Related Work
- 3 Hypothesis
- 4 Proposal
- 5 Preliminary Results/Evaluation Plan
- 6 Reflections
- References
- Proposal for a Distributed Intelligent Control Architecture Based on Heterogeneous Modular Devices
- 1 Problem Statement
- 2 Related Work
- 3 Hypothesis
- 4 Proposal
- 5 Preliminary Results/Evaluation Plan
- 6 Reflections
- References
- DNN Based Prototype of the Track Reconstruction Algorithm for the MUonE Experiment
- 1 The MUonE Experiment
- 2 DNN Based Track Reconstruction Algorithm
- 2.1 Experimental Setup
- 2.2 Track Reconstruction Algorithm
- 2.3 Results
- 3 Outlook and Plans
- 4 Conclusions
- References
- Modeling and Recommendation System for Improving the Energy Performance of Buildings
- 1 Problem Statement
- 2 Related Work
- 3 Hypothesis and Proposal
- 4 Preliminary Results
- 5 Reflections
- References
- Intelligent Monitoring and Management Platform for the Prevention of Olive Pests and Diseases, Including IoT with Sensing, Georeferencing and Image Acquisition Capabilities Through Computer Vision
- 1 Computer Vision and Deep Learning for Prevention of Olive Pests and Diseases
- 2 Deep Learning - Definition and Convolutional Neural Network
- 3 Development of the Intelligent Monitoring and Management Platform
- References
- Author Index
