Human-Assisted Intelligent Computing : Modelling, Simulations and Applications / Mukhdeep Singh Manshahia [and five others], editors.

Format:

Book

Contributor:

Manshahia, Mukhdeep Singh, editor.

Series:

IOP expanding physics.

IOP Ebooks Series

Language:

English

Subjects (All):

Artificial intelligence.

Human computation.

Physical Description:

1 online resource (726 pages)

Edition:

First edition.

Place of Publication:

Bristol, England : IOP Publishing, [2023]

Summary:

This edited book focuses on well-known and new methodologies of optimization techniques in human-assisted computing that are used to resolve some of the very complicated and hard problems we face today.

Contents:

Intro

Preface

Foreword

References

Acknowledgments

Editor biographies

Mukhdeep Singh Manshahia

Igor S Litvinchev

Gerhard-Wilhelm Weber

J Joshua Thomas

Pandian Vasant

List of contributors

Chapter 1 Machine learning algorithms to improve crop evapotranspiration prediction covering a broad range of environmental gradients in agriculture 4.0: a review

1.1 Introduction

1.2 Relevant literature

1.3 Some standard methods to calculate evapotranspiration

1.4 Results and discussions on major findings

1.5 Conclusion and future work

Chapter 2 Iris-based biometric cryptosystem

2.1 Introduction

2.2 Eye segmentation framework

2.3 Eye segmentation methods

2.3.1 Center detection

2.3.2 Base radii detection

2.3.3 Pupil border refinement

2.4 Selecting the cryptokey embedding method

2.5 Determining the threshold probability

2.6 Description of methods

2.6.1 Decorrelation by pseudorandom shuffling

2.6.2 Bit-majority coding

2.6.3 Hadamard block coding

2.6.4 Reed-Solomon message coding

2.6.5 Additional error of code recovery

2.7 Selection of coding scheme parameters

2.8 Conclusion

Chapter 3 Bio-inspired approaches for a combined economic emission dispatch problem

3.1 Introduction

3.1.1 Literature review

3.1.2 Objective of the study

3.2 Problem formulation

3.2.1 Combined economic emission dispatch

3.2.2 Particle swarm optimization

3.2.3 Quantum particle swarm optimization

3.2.4 Qunatum inspired Bat algorithm

3.3 Results and discussions

3.3.1 Single objective emission dispatch problem

3.3.2 Quantum inspired Bat algorithm

3.3.3 Summary of QBA and PSO

3.3.4 Single objective economic load dispatch problem

3.3.5 Quantum inspired particle Swarm optimization

3.3.6 Summary.

3.3.7 Multi objective CEED problem

3.3.8 Quantum inspired particle Swarm optimization

3.3.9 Quantum inspired Bat algorithm

3.3.10 Summary

3.4 Conclusions and future research direction

Acknowledgement

Conflicts of interest

Chapter 4 Eigenvalue clustering for spectrum sensing: throughput and energy evaluation for cognitive radio-Internet of Things network

Symbols

4.1 Introduction

4.2 Background and motivation

4.3 Adopted CR-IoT scenario

4.3.1 System model

4.3.2 Conventional CSS techniques

4.4 Proposed method for CSS based on eigenvalue clustering

4.4.1 Maximum-second maximum-minimum eigenvalue clustering

4.5 Energy and throughput analysis

4.5.1 Energy analysis

4.5.2 Throughput analysis

4.5.3 Complexity analysis

4.6 Simulation results

4.6.1 Comparison of ROC performance

4.6.2 Comparison of throughput performance

4.6.3 Comparison of energy consumption performance

4.6.4 Comparison of expected lifetime performance

4.7 Discussion

4.7.1 Major findings of research

4.7.2 Limitations of research

4.8 Conclusion

Chapter 5 Modeling the evolution of complex networks arising in applications

5.1 Introduction

5.2 GRN networks

5.3 Hierarchy of systems

5.3.1 General

5.3.2 2D systems

5.4 3D systems

5.5 High-dimensional systems

5.5.1 4D system

5.5.2 Examples of 6D systems

5.6 Elements of reverse engineering

5.6.1 Location of a critical point

5.6.2 Creating a critical point of the desired type

5.7 Miscellaneous

5.8 Conclusions

Chapter 6 Computing the intelligent privacy-engineered organization: a metamodel of effective information transparency enhancing tools/technologies

6.1 Introduction

6.2 Transparency enhancing tools/technologies

6.2.1 Right to privacy and information transparency.

6.2.2 Data privacy governance frameworks overview

6.3 Modelling effective transparency enhancing tools/technologies

6.3.1 Aligning privacy frameworks in transparency

6.3.2 Transparency requirements mining

6.3.3 Transparency requirements metamodel

6.3.4 Transparency requirements classification

6.4 Leveraging privacy principles

6.5 Research findings and limitations within the scope of the goal-based requirements analysis method

6.5.1 Major research findings and contributions

6.5.2 Limitations of research

6.6 Conclusion

Chapter 7 A model of cells' regeneration towards smart healthcare

7.1 Introduction

7.2 Model

7.3 Result and discussion

7.4 Conclusion and highlight

7.5 Future scope and literature review

Acknowledgements

Chapter 8 Anomaly detection in location-based services

8.1 Introduction

8.2 Maps and navigation services

8.2.1 Navigation system

8.2.2 Mapping services

8.3 Location-based tracking services

8.3.1 Vehicle tracking services

8.3.2 Traffic tracking services

8.4 Anomaly detection in LBS

8.4.1 Route anomaly detection

8.4.2 User behavior anomaly detection

8.4.3 Fake check-in anomaly detection

8.5 Limitations

8.6 Conclusion and future enhancement

Chapter 9 Optimized packing soft ellipses

9.1 Introduction

9.2 The main problem

9.3 Geometric tools

9.3.1 Formulation of containment conditions

9.3.2 Formulation of non-overlapping constraints

9.4 Mathematical model

9.5 Solution strategy

9.5.1 Finding a feasible starting point

9.5.2 Compression algorithm

9.6 Computational results

9.7 Conclusions

Appendix A

Chapter 10 Analysis of phishing attacks

10.1 Introduction

10.2 Literature review

10.3 Methodology and used tools.

10.3.1 The text analytical SW Tovek

10.4 Statistical analysis of phishing emails

10.5 Classification of phishing emails

10.5.1 Segment business

10.5.2 Segment fund

10.5.3 Segment charity

10.5.4 Segment transfer

10.5.5 Segment other

10.6 Content analysis of phishing emails

10.6.1 Person entity

10.6.2 Phone number entity

10.6.3 City and country entity

10.6.4 Email and website entity

10.7 Research results, their limits, and further research orientation

10.8 Discussion and conclusion

Chapter 11 Human-assisted intelligent computing and ecological modeling (drought early warning system)

Abbreviaitons

11.l Introduction

11.1.1 Rangelands

11.1.2 Ecological modeling and early warning (theory)

11.1.3 Ecological modeling and early warning (applications)

11.2 Contribution of ecological modeling

11.2.1 Efficiency and algorithm theoretical to calibration of remote sensing data

11.2.2 Spatial and temporal analysis and polynomial regression

11.2.3 Spatial disaggregation and anomalies

11.3 Conclusion

Appendix A: Prospects

Appendix B: Ecological modeling

Appendix C: Questions for the governing bodies

Funding

Chapter 12 Attention mechanisms in machine vision: a survey of the state of the art

12.1 Introduction

12.1.1 Self-attention

12.1.2 Masked self-attention

12.1.3 Multi-head attention

12.2 Attention-based deep learning architectures

12.2.1 Single-channel model

12.2.2 Multi-channel model

12.2.3 Skip-layer model

12.2.4 Bottom-up or top-down model

12.2.5 Skip-layer model with multi-scale saliency network

12.3 Attention and deep learning in machine vision: broad categories

12.3.1 Attention-based CNNs

12.3.2 CNN transformer pipelines

12.3.3 Hybrid transformers.

12.4 Major research algorithms, trends, and limitations

12.5 Conclusion

Conflict of interest

Funding acknowledgement

Chapter 13 Sparse 2D packing in thermal deburring with shock waves acting effects

13.1 Introduction

13.2 Sparse packing

13.2.1 The main problem and mathematical model

13.2.2 Solution approach and computational results

13.3 Thermal problem formulation

13.4 The balanced layout of 2D objects with shock waves action

13.5 Conclusions and future research

Chapter 14 Implementation of smart manufacturing in small and medium-sized enterprises

14.1 Introduction

14.1.1 Need for smart manufacturing

14.1.2 Electronic hardware with machine and software interface

14.1.3 Management information system

14.2 Literature review

14.3 Levels of data for intelligent SME

14.3.1 Resources for SME

14.3.2 Inputs for SMEs

14.3.3 Outputs for SMEs

14.3.4 Flow diagram

14.3.5 Data collection

14.3.6 Applications for analysis and decision making

14.4 Proposed architectural framework for intelligent SMEs

14.5 Case study

14.6 Conclusions and future scope

Chapter 15 Performance analysis of fractal image compression methods for medical images: a review

15.1 Introduction

15.1.1 Self-similarity in fractals

15.2 Motivation of the survey

15.3 Relevant literature

15.4 Comparative survey results and discussion

15.5 Improvements on existing algorithms

15.6 Conclusion and future work

Chapter 16 Mobile edge computing for efficient energy management systems

16.1 Introduction

16.2 Paradigm of edge computing

16.3 Role of factors in energy consumption

16.4 Energy efficient systems

16.5 Research findings and limitations

16.6 Future research challenges

16.6.1 The healthcare domain.

16.6.2 Big data management.

Notes:

Description based on publisher supplied metadata and other sources.

Description based on print version record.

Includes bibliographical references.

ISBN:

0-7503-4803-8