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Intelligent Computing : Proceedings of the 2023 Computing Conference, Volume 2 / edited by Kohei Arai.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2023 Available online
View online- Format:
- Book
- Author/Creator:
- Arai, Kohei.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 739
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Telecommunication.
- Computational Intelligence.
- Communications Engineering, Networks.
- Local Subjects:
- Computational Intelligence.
- Communications Engineering, Networks.
- Physical Description:
- 1 online resource (1492 pages)
- Edition:
- 1st ed. 2023.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
- Summary:
- This book is a collection of extremely well-articulated, insightful and unique state-ofthe-art papers presented at the Computing Conference which took place in London on June 22–23, 2023. A total of 539 papers were received out of which 193 were selected for presenting after double-blind peer-review. The book covers a wide range of scientific topics including IoT, Artificial Intelligence, Computing, Data Science, Networking, Data security and Privacy, etc. The conference was successful in reaping the advantages of both online and offline modes. The goal of this conference is to give a platform to researchers with fundamental contributions and to be a premier venue for academic and industry practitioners to share new ideas and development experiences. We hope that readers find this book interesting and valuable. We also expect that the conference and its publications will be a trigger for further related research and technology improvements in this important subject. .
- Contents:
- Intro
- Preface
- Contents
- Training and Diagnosis of Retinal OCT Images with Auxiliary Data Using TripleGAN When Imbalanced Class Occurs
- 1 Introduction
- 2 Background
- 3 Related Works
- 4 Materials and Method
- 5 Results
- 6 Conclusion
- References
- A Context-Aware Street Light System Based on Multi-variate Forecast and Fuzzy Logic
- 2 System Description
- 3 Solar Irradiation Prediction
- 3.1 Solar Irradiation Data and Metrics
- 3.2 Forecast Models
- 3.3 Forecast Results
- 4 System Assessment
- 5 Conclusion
- Using Smartphone Sensing for Recognition of Game Player Attributes During Gameplay
- 1.1 Major Contributions
- 1.2 Paper Organization
- 2 Proposed Methodology
- 2.1 Data Acquisition and Pre-processing
- 2.2 Feature Extraction and Selection
- 2.3 Attribute Classification
- 3 Analysis of Results
- 3.1 Analysis of Expertise Level Classification
- 3.2 Analysis of Gender Classification
- 3.3 Analysis of Game Player Classification
- 3.4 Discussions
- 4 Conclusions
- ESSL-Polyp: A Robust Framework of Ensemble Semi-supervised Learning in Polyp Segmentation
- 2 Related Work
- 2.1 Polyp Segmentation
- 2.2 Semi Supervised Learning for Semantic Segmentation
- 2.3 Ensemble Learning
- 2.4 Encoder-Decoder Architecture
- 3 Proposed Method
- 3.1 Data Separation
- 3.2 Training k Semi-Supervised Models
- 3.3 Ensemble Semi-supervised Models
- 4 Dataset and Experiments Setup
- 4.1 Dataset
- 4.2 Evaluation Metrics
- 4.3 Implementation Details
- 5 Result of Experiments
- 5.1 Ablation Studies
- 5.2 Comparison with State-of-the-Art Methods
- 6 Conclusion and Future Works
- Data-Driven Design of an Active Wake Steering Control for a Wind Farm Benchmark
- 1 Introduction.
- 2 Hybrid Model- and Learning-Based Control Method
- 3 Wind Farm Simulator
- 4 Simulation Results
- 4.1 Hardware-in-the-Loop Validation
- Design Principles for Interactive and Reflective Journaling with AI
- 2.1 Journaling and Interaction Design
- 2.2 Designing for Reflection
- 2.3 Conversational Agents
- 2.4 Design Guidelines and Principles
- 3 Methodology
- 4 Results
- 4.1 The Whys of Journaling
- 4.2 The Aesthetics of Journaling
- 4.3 The Act of Writing
- 4.4 Supporting Reflective Practice
- 4.5 Journaling to Remember and to Forget
- 4.6 Journaling and Conversations
- 4.7 Ubiquitous, Interactive Journaling
- 5 Human-AI Interaction Design Principles for Interactive Journaling
- 6 Concluding Discussions
- 6.1 Supporting Collaborations and Reflections
- 6.2 Encouraging Personal Expressions and Aesthetics
- 6.3 Acting as a Patient Confidant
- 6.4 Conversational Cultures and Journaling
- 6.5 Ethical Aspects of Journaling with AI
- 7 Conclusions
- AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security
- 2 Related Literature and Background
- 2.1 Blockchain Security: MEV Issues
- 2.2 MEV Solutions: Flashbots and Alternatives
- 2.3 AI Ethics
- 3 Data and Methodology
- 3.1 Data
- 3.2 Methodology
- 4.1 Answers to RQ1
- 4.2 Answers to RQ2
- 5 Conclusion and Discussion
- Intelligent Virtual Assistants (IVAs): Trust and Zero Trust
- 2 AI and Intelligent Virtual Assistants (IVAs)
- 3 Trust
- 4 Zero Trust
- 5 IVA'S: Trust, Zero Trust
- 6 Concluding Remarks
- Implementation of a Smart House Using a Programmable Logical Controller (PLC)
- 2 Problem Formulation
- 3 Related Work
- 4 Project Specifications
- 5 PLC Description.
- 6 Smart House Schematic
- 7 Analysis
- 8 Conclusion
- Use of Cell Phones in Near Surface Seismology
- 1.1 Near Surface Seismology
- 1.2 Phone Accelerometer
- 2 Data Acquisition Method
- 2.1 Selection of Location
- 2.2 Sensor Log APP
- 2.3 Phone Set-Up
- 2.4 Cultural Noise Experiment
- 2.5 Hammer Energy Source Experiment
- 3 Experimental Results
- 4 Discussion and Conclusion
- Techno-Economic Assessment in Communications: New Challenges
- 2 Brief History of TEA in Comms
- 3 Redefinition of Techno-Economic Assessment (TEA)
- 4 New Challenges for TEA in Comms
- 4.1 Validation, Test and Assurance on New Cloud-Native Networks
- 4.2 Blockchain-Based Decentralized Networks: The Helium Network and Alike
- 4.3 Evolution of Networks: Network as a Platform (NaaP)
- 4.4 Sustainability Issues: Carbon Price
- 4.5 Network Sharing
- 4.6 Metaverse, Web3 and Blockchain
- 4.7 Blockchain Secured SDN
- 5 Need for a Universal Techno-Economic Assessment Model?
- 6 Some Use Cases in Comms, Networking and Security
- 6.1 TEA Models for 5G and Beyond
- 6.2 TEA Models for SASE, SD-WAN, SSE
- 6.3 Cloud Cybersecurity Risk Assessment Use Case
- 7 TEA in Request for Proposals (RFP) Processes
- 8 Extension of TEA Application to Other Industries
- 9 Conclusions and Future Work
- A Low-Cost Thermal Imaging Device for Monitoring Electronic Systems Remotely
- 2 Methodology &
- Research Design
- 2.1 Hardware
- 2.2 Software
- 2.3 Hardware Design Layout and Test Setup
- 2.4 Testing Procedure
- 3 Results
- 4 Conclusion
- Mobile Application for Bidding Durians
- 2.1 Chilindo Online Bidding System
- 2.2 eBay Bidding System
- 2.3 ZenMarket Auction and Shopping Service.
- 2.4 Bidding System Key Features Comparison
- 3 The Prototype Design of Durian Bidding System
- 4 Prototype Testing
- 5 Conclusion and Future Work
- ADAGIO, a BDI Music Recommender Telegram Chatbot
- 2 Recommendation Systems
- 3 BDI Agents
- 4 Related Work
- 5 Adagio System Overview
- 6 Testing and Results
- 7 Conclusion and Future Work
- School Bus Routing Problem-Algorithm Optimization Using Graph Theory
- 2 Dijkstra's Algorithm
- 3 School Bus Routing Problem (SBRP)
- 3.1 Description of SBRT Problem
- 3.2 Subdivision of SBRT
- 3.3 A Mathematical Programming of a SBRT Problem
- 4 Implementation of an Algorithm to Solve the School Bus Routing Problem
- 4.1 Problem Description
- 4.2 Stepwise Algorithm
- 4.3 Calculation of the Optimal Distance of the Network N Connecting All Pairs of Vertices
- 4.4 Construction of Eccentricity Matrix
- 4.5 Calculation of Matrix walkij
- 4.6 Input of Vertices Qi, Bus Stopi
- 4.7 Statistical Results
- 4.8 Suggested SBRT Algorithm
- 4.9 Results Summary
- 5 Introduction
- 5.1 Conducting Experiments on Bus Capacity
- 5.2 Conducting Experiments on the Number of Buses
- 5.3 Conducting Experiments on the Maximum Permissible Walking Distance
- 6 Presentation of Algorithm Results
- 6.1 Optimal Solution
- 6.2 Results in Terms of Capacity
- 6.3 Results in Terms of the Number of Buses
- 6.4 Results in Terms of Buses of Maximum Permissible Walking Distance
- py-microdots: Position Encoding in the Euclidean Plane Based on the Anoto Codec
- 3 Preliminaries
- 3.1 De Bruijn Sequences
- 3.2 Prime Factor Integer Bases
- 3.3 Chinese Remainder Theorem
- 4 Codec Principles
- 4.1 Decoding
- 4.2 Encoding Process
- 4.3 Generalization
- 5 py-microdots
- 6 Results.
- 6.1 Preferred Embodiment
- 6.2 Timings
- 7 Conclusion
- A Appendix
- A.1 Anoto Sequences
- An Empirical Criterion for Transitive Closure of a Searchability Matrix
- 2 The Squaring Identity &
- Warshall Algorithm
- 3 New Recursive Matrix Relation for Transitive Closure
- 4 Summary
- Detection of Computational Propaganda on Social Networks: A Survey
- 2 Computational Propaganda
- 3 Computational Propaganda Detection Taxonomy
- 3.1 Detecting Propagandist Posts
- 3.2 Detecting Malicious Accounts
- 4 Features Used to Detect Computational Propaganda
- 5 Using Bots to Spread Propaganda
- 6 Discussion and Research Gap
- Quantum Computing Techniques for Multi-knapsack Problems
- 2 Business Motivation
- 3 Modeling
- 4 Quantum Optimization Algorithms
- 4.1 Quantum Approximate Optimization Algorithm (QAOA)
- 4.2 Variational Quantum Eigensolver
- 4.3 Quantum Annealing
- 5.1 Problem Instances
- 5.2 Measures for Solution Quality
- 5.3 Results for QAOA, WS-QAOA and WS-Init-QAOA
- 5.4 Results from VQE
- 5.5 Runtime Estimation on Quantum Devices for QAOA and VQE
- 5.6 Results from Annealing
- 5.7 Comparison of the Quantum Algorithms
- 6 Conclusion and Outlook
- Analysis of Syntactic Errors of Novice Python Programmers in a Nigeria University
- 2 Methods
- 4 Discussion
- 5 Pedagogical Implications
- A Constructive Heuristic "MDSA" Solving the Flexible Job Shop Scheduling Problem
- 1.1 Job Shop Scheduling Problem (JSSP) Statement
- 1.2 Flexible Job Shop Scheduling Problem (FJSSP) Model
- 2 The Novel Algorithm "MDSA"
- 2.1 Basic Concepts of the Algorithm "MDSA"
- 2.2 Basic Ideas on Which the "MDSA" Algorithm is Based.
- 3 Illustrative Example for "MDSA" Performance.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Arai, Kohei Intelligent Computing
- ISBN:
- 9783031379635
- 3031379632
- OCLC:
- 1395070787
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