Name: Innovative Technologies in Intelligent Systems and Industrial Applications
ISBN: 978-3-031-29078-7

Editors:

Subhas Chandra Mukhopadhyay⁰,
S.M. Namal Arosha Senanayake¹,
P.W. Chandana Withana²

Subhas Chandra Mukhopadhyay
1. School of Engineering, Macquarie University, Sydney, Australia
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S.M. Namal Arosha Senanayake
1. Faculty of Science, Taylor’s University, Selangor, Malaysia
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P.W. Chandana Withana
1. Charles Sturt University, Bathurst, Australia
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Presents recent research in the field of data science and mobile technologies
Serves as a reference resource for researchers and practitioners in academia and industry
Written by experts in the field

Part of the book series: Lecture Notes in Electrical Engineering (LNEE, volume 1029)

Conference series link(s): CITISIA: Conference on Innovative Technologies in Intelligent Systems and Industrial Applications

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Conference proceedings info: CITISIA 2022.

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Table of contents (85 papers)

Front Matter

Pages i-xix

PDF
Societal Impact Using Novel Neural Network Architectures and Machine Learning Algorithms
1. Front Matter
  
  Pages 1-1
  
  PDF
2. Intelligent Small Scale Autonomous Vehicle Development Based on Convolutional Neural Network (CNN) for Steering Angle Prediction
  
  Muhammad Zacky Asy’ari, Maxson Phang, Nicholas Suganda, Yosica Mariana
  
  Pages 3-12
3. Histogram of Oriented Gradients (HOG) and Haar Cascade with Convolutional Neural Network (CNN) Performance Comparison in the Application of Edge Home Security System
  
  Muhammad Zacky Asy’ari, Sebastian Filbert, Zener Lie Sukra
  
  Pages 13-22
4. Comparison of K-Nearest Neighbor and Support Vector Regression for Predicting Oil Palm Yield
  
  Bens Pardamean, Teddy Suparyanto, Gokma Sahat Tua Sinaga, Gregorius Natanael Elwirehardja, Erick Firmansyah, Candra Ginting et al.
  
  Pages 23-33
5. Application of Convolution Neural Network for Plastics Waste Management Using TensorFlow
  
  Immanuela Puspasari Saputro, Junaidy Budi Sanger, Angelia Melani Adrian, Gilberth Mokorisa
  
  Pages 35-46
6. Study on Optimal Machine Learning Approaches for Kidney Failure Detection System Based on Ammonia Level in the Mount
  
  Nicholas Phandinata, Muhammad Nurul Puji, Winda Astuti, Yuli Astuti Andriatin
  
  Pages 47-58
7. Understanding the Influential Factors on Multi-device Usage in Higher Education During Covid-19 Outbreak
  
  Robertus Tang Herman, Yoseph Benny Kusuma, Yudhistya Ayu Kusumawati, Darjat Sudrajat, Satria Fadil Persada
  
  Pages 59-68
8. Society with Trust: A Scientometrics Review of Zero-Knowledge Proof Advanced Applications in Preserving Digital Privacy for Society 5.0
  
  Nicholas Dominic, Naufal Rizqi Pratama, Kenny Cornelius, Shavellin Herliman Senewe, Bens Pardamean
  
  Pages 69-78
Mixed Reality Approaches for Real-World Applications
1. Front Matter
  
  Pages 79-79
  
  PDF
2. Validation of Augmented Reality Prototype for Aspects of Cultural Learning for BIPA Students
  
  Pandu Meidian Pratama, Agik Nur Efendi, Zainatul Mufarrikoh, Muhammad David Iryadus Sholihin
  
  Pages 81-89
3. The Impact of Different Modes of Augmented Reality Information in Assisted Aircraft Cable Assembly
  
  Dedy Ariansyah, Khaizuo Xi, John Ahmet Erkoyuncu, Bens Pardamean
  
  Pages 91-100
4. Toward Learning Factory for Industry 4.0: Virtual Reality (VR) for Learning Human–Robot Collaboration
  
  Dedy Ariansyah, Giorgio Colombo, Bens Pardamean
  
  Pages 101-111
5. Analysing the Impact of Support Plans on Telehealth Services Users with Complex Needs
  
  Yufeng Mao, Mahsa Mohaghegh
  
  Pages 113-126
6. Trend and Behaviour Changes in Young People Using the New Zealand Mental Health Services
  
  Yingyue Kang, Mahsa Mohaghegh
  
  Pages 127-137
Hybrid Data Security Models for Smart Society
1. Front Matter
  
  Pages 139-139
  
  PDF
2. Securing Cloud Storage Data Using Audit-Based Blockchain Technology—A Review
  
  Mohammad Belayet Hossain, P. W. C. Prasad
  
  Pages 141-153
3. Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization
  
  Pratish Shrestha, Rajesh Ampani, Mahmoud Bekhit, Danish Faraz Abbasi, Abeer Alsadoon, P. W. C. Prasad
  
  Pages 155-167
4. Cyber Warfare: Challenges Posed in a Digitally Connected World: A Review
  
  Ravi Chandra, P. W. C. Prasad
  
  Pages 169-181
5. Surveilling Systems Used to Detect Lingering Threats on Dark Web
  
  Y. K. P. Vithanage, U. A. A. Niroshika
  
  Pages 183-193

Other Volumes

Innovative Technologies in Intelligent Systems and Industrial Applications

About this book

This book presents the proceedings of the 7th International Conference on Innovative Technologies in Intelligent Systems & Industrial Application (CITISIA), held in virtual mode in Kuala Lumpur, Malaysia, and Sydney, Australia on November 16-18, 2022. It showcases advances and innovations in Industry 4.0, smart society 5.0, mobile technologies, smart manufacturing, smart data fusion, hybrid intelligence, cloud computing, and digital society.

Keywords

Intelligent Systems
Smart Manufacturing
Industry 4.0
Smart Data Fusion
Artificial Intelligence
Hybrid Intelligence
Digital Society
Mobile Technologies

Editors and Affiliations

School of Engineering, Macquarie University, Sydney, Australia

Subhas Chandra Mukhopadhyay
Faculty of Science, Taylor’s University, Selangor, Malaysia

S.M. Namal Arosha Senanayake
Charles Sturt University, Bathurst, Australia

P.W. Chandana Withana

Bibliographic Information

Book Title: Innovative Technologies in Intelligent Systems and Industrial Applications
Book Subtitle: CITISIA 2022
Editors: Subhas Chandra Mukhopadhyay, S.M. Namal Arosha Senanayake, P.W. Chandana Withana
Series Title: Lecture Notes in Electrical Engineering
DOI: https://doi.org/10.1007/978-3-031-29078-7
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Hardcover ISBN: 978-3-031-29077-0Published: 05 October 2023
Softcover ISBN: 978-3-031-29080-0Due: 19 October 2024
eBook ISBN: 978-3-031-29078-7Published: 03 October 2023
Series ISSN: 1876-1100
Series E-ISSN: 1876-1119
Edition Number: 1
Number of Pages: XIX, 1009
Number of Illustrations: 76 b/w illustrations, 349 illustrations in colour
Topics: Data Engineering, Cyber-physical systems, IoT, Professional Computing, Cyber-physical systems, IoT

Editors:

Sections

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Table of contents (85 papers)

Front Matter

Societal Impact Using Novel Neural Network Architectures and Machine Learning Algorithms

Front Matter

Mixed Reality Approaches for Real-World Applications

Front Matter

Hybrid Data Security Models for Smart Society

Front Matter

Other Volumes

Innovative Technologies in Intelligent Systems and Industrial Applications

About this book

Keywords

Editors and Affiliations

School of Engineering, Macquarie University, Sydney, Australia

Faculty of Science, Taylor’s University, Selangor, Malaysia

Charles Sturt University, Bathurst, Australia

Bibliographic Information

Buy it now

Buying options

Other ways to access

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