ENGLISH

Emerging Technologies in Computing: 5th EAI International Conference, iCETiC 2022, Chester, UK, August 15-16, 2022, Proceedings

Book information

Publisher
Springer
Year
2023
ISBN
3031251601, 9783031251603
Language
english
Format
PDF
Filesize
15 MB (16112217 bytes)
Series
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 463
Pages
151\152
Time added
2023-01-31 11:08:37

Description

This book constitutes the refereed conference proceedings of the 5th EAI International Conference on Emerging Technologies in Computing, iCETiC 2022, held in Chester, UK, August 15-16, 2022. The 16 full papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Cloud, IoT and Distributed Computing; and AI, Expert Systems and Big Data Analytics. Preface Organization Contents Cloud, IoT and Distributed Computing An Evaluation of the Correlation Between Task Characteristics and Input Data Size in Scientific Workflows 1 Introduction 2 Previous Study 3 Evaluation Experiment 4 Results and Discussion 5 Conclusions References Evaluation of Semantic Interoperability of Automotive Service API Models Based on Metamodels Similarity Metrics Using a Semi-automated Approach 1 Introduction 1.1 Motivation 1.2 State of the Art 2 Design Methodology 2.1 Ontology Metrics for Semantic Alignment Quality Evaluation 2.2 An Automotive Case Study 2.3 Overview of Semantic Mapping Strategy 2.4 Evaluation Metrics for Interface Ontological Metamodels 2.5 Applicability of Evaluated Semantic Alignment Quality Metrics to Real-World SWC Interface Models Using Semi-automated Approach 3 Conclusion References BCoT-Based Smart Manufacturing: An Enhanced Precise Measurement Management System 1 Introduction 2 Smart Manufacturing and Sensors 3 Proximity Sensors 4 Customers’ Reaction Towards Sensors and Smart Technologies 5 Sorting, Usage and Advantages of Utilising Quicksort in the Memories of BCoT Devices and Sensors 6 Using Quicksort in Approximate or Precise Memory of BCoT Devices or Sensors 6.1 Quicksort: Theory and Experiments 7 Algorithm Performance 7.1 Pivot Selection 7.2 Further Optimisation 8 Concluding Discussions References Investigation of the Digitalisation Process of Traditional Businesses and Its Concept for Retail 1 Introduction 2 The Modus Operandi of Digitalization 2.1 The Evolutionary Steps of Digitalization 2.2 Industry 4.0 3 The Effect of Digitalization upon Marketing: Dematerialization and Customization of the Value Proposition 3.1 The Effect of Digitalization upon Marketing and Customer Behaviour 3.2 The Effect of Digitalization upon Marketing and the Relationship Between the Customer and Supplier 4 Conclusions References Data Integrity for Dynamic Big Data in Cloud Storage: A Comprehensive Review and Critical Issues 1 Introduction 2 Data Security Issues in Cloud Storage 3 Data Integrity Schemes in Cloud Storage- the State of the Art 3.1 Proof of Data Possession-PDP 3.2 Proof of Data Retrievability- POR 4 Public Data Integrity Techniques 5 Data Integrity Schemes for Dynamic Data 6 Proof of Data Possession for Dynamic Data 7 Proof of Data Retrievability for Dynamic Data 8 Issues Proof of Data Retrievability 9 Conclusion References AI, Expert Systems and Big Data Analytics A Review of Optical Character Recognition (OCR) Techniques on Bengali Scripts 1 Introduction 2 Related Works 3 Properties of Bengali Scripts 4 Dataset 5 Recognition Techniques 5.1 Preprocessing 5.2 Feature Extraction 5.3 Pattern Recognition and Classification 5.4 Post Processing 6 Result Analysis 7 Conclusion References Traffic Sign Detection and Recognition System Using Improved YOLOV5s 1 Introduction 2 Literature Review 3 Methodology 3.1 Dataset 3.2 Image Annotation 3.3 Architecture 4 Result and Discussion 5 Conclusion References Prediction of the Arbutus Unedo Colonization Time via an Agent-Based Distribution Model 1 Materials and Methods 2 Experiments and Results 2.1 Initialization and Estimation Phase 2.2 Prediction Phase 3 Discussion 4 Concluding Remarks References Stock Price Prediction Using Semi-supervised Ridge Regression 1 Introduction 2 Related Works 2.1 Semi-supervised Learning 2.2 Ridge Regression 2.3 Self-training 3 Results and Discussion 4 Conclusions References Accessibility of Multimedia Resources from Irish Universities for People with Epilepsy 1 Introduction 2 Background 3 Methods and Material 3.1 Sample Selection 3.2 Units 3.3 Sample Size Estimation 3.4 Tools Selection 3.5 Metrics Used 3.6 Method Adopted 4 Result 4.1 Number of Success/Failure 4.2 Warnings 4.3 Luminance Flash Failures 4.4 Red Flash Failures 4.5 Significance Test 5 Conclusion References Author Index

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