Intelligent Computing and Applications: Proceedings of ICDIC 2020

✍ Scribed by B. Narendra Kumar Rao, R. Balasubramanian, Shiuh-Jeng Wang Richi Nayak

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 489
• Series: Smart Innovation, Systems and Technologies, 315
• Category: Library

✦ Synopsis

This book presents novel work of academicians, researchers, industry professionals, practitioners, and budding engineers to disseminate the most recent innovations, trends, and concerns along with the present-day challenges and the solving approaches for implementation in the domains of data science, intelligent computing, and computer networks and security. It is a collection of selected high-quality research papers from the International Conference on Data Science, Intelligent Computing and Cyber Security (ICDIC 2020) organized by Sree Vidyanikethan Engineering College, Tirupati, India, during 27–29 February 2020. It discusses the latest challenges and solutions in the field of data innovation, data management, data analysis, data security, and intelligent methods and applications.

✦ Table of Contents

Conference Committee
Preface
Contents
About the Editors
1 Prediction of Depression-Related Posts in Instagram Social Media Platform
1.1 Introduction
1.2 Literature Survey
1.3 Proposed Work
1.4 Implementation
1.5 Results and Discussions
References
2 Classification of Credit Card Frauds Using Autoencoded Features
2.1 Introduction
2.2 Literature Review
2.3 Autoencoders
2.3.1 Basic Architecture
2.3.2 Mathematical Model for Autoencoder
2.4 Proposed Method
2.4.1 Feature Extraction Phase
2.4.2 Classification Phase
2.5 Results and Discussion
2.5.1 Dataset
2.5.2 Experimental Setup
2.5.3 Evaluation Metrics
2.5.4 Results and Discussion
2.6 Conclusion
References
3 BIVFN: Blockchain-Enabled Intelligent Vehicular Fog Networks
3.1 Introduction
3.2 Vehicular Fog Networking
3.3 BIVFN: Blockchain-Enabled Intelligent Vehicular Fog Network for Connected Vehicles
3.3.1 Architecture
3.3.2 Phases of BIVFN
3.4 Security Requirements Attainment in BIVFN
3.5 Conclusion
References
4 Deep Learning Approach for Pedestrian Detection, Tracking, and Suspicious Activity Recognition in Academic Environment
4.1 Introduction
4.2 Literature Survey
4.2.1 Pedestrian Dataset
4.2.2 Proposed Deep Learning Architecture and Academic Environment Pedestrian Dataset
4.3 Recent Deep Learning Architecture
4.4 Experimental Results
4.5 Conclusions
References
5 Data-Driven Approach to Deflate Consumption in Delay Tolerant Networks
5.1 Introduction
5.2 Related Work
5.2.1 DTN Features
5.2.2 Irregular Interfacing
5.2.3 Low Speed, Inefficiency, and High Queue Interruption
5.2.4 Limited Resource
5.2.5 Node Life Time
5.2.6 Dynamic Topology
5.2.7 Performance Issues
5.3 Proposed Method
5.4 Algorithm
5.5 Conclusion
References
6 Code-Level Self-adaptive Approach for Building Reusable Software Components
6.1 Introduction
6.2 Literature Survey
6.2.1 Adaptive Reuse
6.2.2 Adaptable Software System Versus Traditional Software System
6.2.3 Adaptive Methods to Improve the Software System
6.3 Proposed Work
6.3.1 Software Engineering with Reusable Components
6.3.2 Strategy Development Reuse
6.3.3 The Incorporation Process to Reuse Project
6.3.4 Process Measurement and Evolution
6.3.5 Management Reuse
6.4 Results and Discussions
6.5 Conclusion and Future Work
References
7 Design of a Deep Network Model for Weed Classification
7.1 Introduction
7.2 Related Works
7.3 Methodology
7.3.1 Dataset Description
7.3.2 Dense Convolutional Neural Networks (DCNN)
7.4 Numerical Results and Discussion
7.5 Conclusion
References
8 E-Voting System Using U-Net Architecture with Blockchain Technology
8.1 Introduction
8.2 Literature Survey
8.3 Methodology
8.4 Results and Discussion
8.5 Conclusion
References
9 Multi-layered Architecture to Monitor and Control the Energy Management in Smart Cities
9.1 Introduction
9.1.1 Proposed Questions
9.1.2 Methodology
9.2 Literature
9.2.1 Smart Meters
9.2.2 Smart City
9.2.3 Internet of Things (IoT)
9.2.4 Cloud–Fog-IoT Environment
9.2.5 A Network Architecture
9.2.6 Drones for Smart Cities
9.2.7 Network Architectures for Smart Cities
9.2.8 Objectives of Energy Meter Monitoring Device System in
9.3 A Novel Approach to Data Acquisition for Energy Monitoring System
9.3.1 Proposed Architecture for Cloud-Fog-IoT Environment—Framework
9.3.2 The Activities in Three-Layer Network
9.3.3 Arduino-Based Energy Meter Control and Management
9.3.4 Components of IoT-Based Energy Meter Control and Management
9.3.5 Features of Proposed ‘Three-Layered Architecture’ for Smart Meter Monitoring and Management with Integration of Cloud, Fog, IoT and Wireless Sensor Network Model as Shown in Fig. 9.3 Are as Follows
9.3.6 Threat Landscape in Three Layer Architecture
9.4 Conclusions
References
10 Bio-Inspired Firefly Algorithm for Polygonal Approximation on Various Shapes
10.1 Introduction
10.2 Problem Formulation
10.2.1 Basic Pre-processing
10.3 Firefly Algorithm
10.3.1 Firefly for Polygonal Approximation
10.4 Experimental Results and Discussion
10.5 Conclusion
References
11 An Efficient IoT Security Solution Using Deep Learning Mechanisms
11.1 Introduction
11.2 Related Work
11.2.1 Safety in IoT Operation
11.2.2 Gaps in the Presented Security Resolutions for IoT Networks
11.2.3 Machine Learning: A Solution to Iot Security Challenges
11.3 Methodology
11.4 Results and Discussion
11.4.1 Dataset Used
11.4.2 Training and Test Data
11.5 Conclusion
References
12 Intelligent Disease Analysis Using Machine Learning
12.1 Introduction
12.2 Literature Survey
12.3 Proposed Work
12.4 Results and Analysis
12.5 Conclusion
References
13 Automated Detection of Skin Lesions Using Back Propagation Neural Network
13.1 Introduction
13.2 Literature Survey and Proposed Work
13.2.1 Image Segmentation
13.2.2 Morphological Image Processing
13.3 Results
13.4 Conclusion and Future Enhancement
References
14 Detection of COVID-19 Using CNN and ML Algorithms
14.1 Introduction
14.2 Literature Survey
14.2.1 Pneumonia and COVID-19 Detection Using Convolution Neural Network
14.2.2 COVID-19 Detection Using Recurrent Neural Network
14.2.3 Transfer Learning to Detect COVID-19 Automatically from X-ray Images Using Convolutional Neural Networks
14.2.4 Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
14.2.5 Use of Fuzzy Soft Set in Decision Making of COVID-19 Risks
14.2.6 CNN-LSTM Combination for COVID-19 Prediction
14.2.7 Statistical Techniques for Combating COVID-19
14.2.8 Computational Intelligence Techniques for Combating COVID-19: A Survey
14.2.9 Toward Using Recurrent Neural Networks for Predicting Influenza-Like Illness: Case Study of COVID-19 in Morocco
14.2.10 The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischer’s Society
14.3 Proposed Methodology
14.3.1 Detecting COVID-19 Using CNN
14.3.2 Detecting COVID-19 Using Random Forest
14.4 Experimental Results
14.5 Conclusion
References
15 Prioritization of Watersheds Using GIS and Fuzzy Analytical Hierarchy (FAHP) Method
15.1 Introduction
15.2 Relevant Study
15.3 Methodology
15.3.1 Topographical Maps
15.3.2 Watershed Atlas of India (WAI)
15.3.3 Fuzzy Analytical Hierarchy Program (FAHP)
15.4 Results and Discussion
15.4.1 Morphometric Analysis
15.4.2 Watershed Prioritization Utilizing the Fuzzy Analytical Hierarchy Process (FAHP) Technique
15.5 Conclusion
References
16 A Narrative Framework with Ensemble Learning for Face Emotion Recognition
16.1 Introduction
16.2 Related Work
16.3 Proposed Work
16.4 Results and Discussion
16.5 Conclusion
References
17 Modified Cloud-Based Malware Identification Technique Using Machine Learning Approach
17.1 Introduction
17.2 Literature Survey
17.3 Proposed Methodology
17.4 Conclusion
References
18 Design and Deployment of the Road Safety System in Vehicular Network Based on a Distance and Speed
18.1 Introduction
18.2 Literature Review
18.3 Proposed System
18.3.1 Experimental Methodology
18.3.2 Flow of Execution of an Application
18.3.3 Modules of the Application
18.4 Conclusion
References
19 Diagnosis of COVID-19 Using Artificial Intelligence Techniques
19.1 Introduction
19.2 Materials and Frameworks
19.2.1 Materials and Datasets
19.2.2 Frameworks
19.3 Approach
19.4 Conclusion and Future
References
20 Location Tracking via Bluetooth
20.1 Introduction
20.2 Related Work
20.3 Methodology
20.4 Implementation
20.4.1 System Components
20.4.2 Application Implementation
20.5 Conclusion
References
21 Shrimp Surfacing Recognition System in the Pond Using Deep Computer Vision
21.1 Introduction
21.2 Literature Survey
21.3 Proposed Work
21.3.1 Image Data Augmentation
21.3.2 Horizontal and Vertical Shift Augmentation
21.3.3 Horizontal and Vertical Flip Augmentation
21.3.4 Random Rotation Augmentation
21.4 Results and Analysis
21.5 Conclusion
References
22 Sign Language Recognition for Needy People Using Machine Learning Model
22.1 Introduction
22.2 Relevant Study
22.2.1 Pros and Cons of the Existing and Planned Models
22.3 Proposed Method
22.3.1 Data Preparation
22.4 Results and Discussion
22.5 Conclusion
References
23 Efficient Usage of Spectrum by Using Joint Optimization Channel Allocation Method
23.1 Introduction
23.2 Literature Survey
23.3 Proposed Method
23.4 Experimental Results
23.5 Comparison of Results
23.6 Conclusion and Future Scope
References
24 An Intelligent Energy-Efficient Routing Protocol for Wearable Body Area Networks
24.1 Introduction
24.2 Issues in Designing Routing Protocols
24.2.1 Existing Energy-Efficient Routing Protocols in WBAN
24.3 Proposed Approach
24.3.1 Intelligent Energy-Efficient Routing Protocol
24.4 Simulation Setup
24.5 Conclusion
References
25 Enhanced Video Classification System with Convolutional Neural Networks Using Representative Frames as Input Data
25.1 Introduction
25.2 Related Works
25.3 Methodology
25.4 Experiments and Results
25.5 Conclusion
References
26 Text Recognition from Images Using Deep Learning Techniques
26.1 Introduction
26.2 Related Work
26.2.1 Localization
26.2.2 Segmentation
26.2.3 Recognition
26.2.4 Datasets
26.3 Proposed Work
26.3.1 Image Acquisition
26.3.2 Image Processing
26.3.3 Plate Localization
26.3.4 Character Recognition
26.4 Proposed Method
26.4.1 Convolution Neural Network
26.4.2 Pooling
26.4.3 Padding
26.5 Implementation
26.5.1 Models of CNN
26.5.2 OCR using open CV and CNN
26.6 Conclusion
References
27 Early Detection and Diagnosis of Oral Cancer Using Fusioned Deep Neural Network
27.1 Introduction
27.2 Literature Survey
27.3 Methodology
27.4 Result Analysis
27.5 Conclusion
References
28 Fine-tuning for Transfer Learning of ResNet152 for Disease Identification in Tomato Leaves
28.1 Introduction
28.2 Literature Survey
28.3 Materials and Methods
28.3.1 Dataset
28.3.2 Transfer Learning-Based CNN Model
28.3.3 Performance Evaluation
28.4 Experimentation
28.5 Results and Discussion
28.6 Conclusion
References
29 AI-Based Mental Fatigue Recognition and Responsive Recommendation System
29.1 Introduction
29.2 Related Literature on Responsive System
29.2.1 A Stress-Based Mental Fatigue—Responsive System
29.2.2 Personal Mood-Based Mental Fatigue
29.3 Methods
29.3.1 Technological Approach—IoT Devices to Acquire Data
29.3.2 Research Procedure
29.3.3 Mood
29.3.4 Stress
29.3.5 Methods—Machine Learning Models
29.4 Evaluation and Results
29.4.1 Survey Results and Clustering
29.4.2 Clustering
29.4.3 Classification Models
29.4.4 Classification Model Training
29.4.5 Results
29.5 Conclusion and Discussion
References
30 Multiple Slotted Triple-Band PIFA Antenna for Wearable Medical Applications at 2.5–9 GHz
30.1 Introduction
30.2 Antenna Design
30.3 Results and Discussion
30.4 Conclusion
References
31 Fish Classification System Using Customized Deep Residual Neural Networks on Small-Scale Underwater Images
31.1 Introduction
31.2 Related Works
31.3 Deep Residual Network (DRN)
31.4 Proposed Method
31.5 Results and Discussion
31.6 Conclusion
References
32 Multiple Face Recognition System Using OpenFace
32.1 Introduction
32.2 Related Work
32.3 Proposed Methodology
32.4 Results
32.5 Conclusion
References
33 EDAARP-Efficient and Data-Aggregative Authentic Routing Protocol for Wireless Sensor Networks
33.1 Introduction
33.2 Efficient Data-Aggregative Authentic Routing Protocol (EDAARP)
33.3 Simulation Study and Performance Analysis:
33.4 Conclusion
References
34 Mobile-Based Selfie Sign Language Recognition System (SSLRS) Using Statistical Features and ANN Classifier
34.1 Introduction
34.2 Literature Review
34.3 Proposed SSLR
34.3.1 Feature Extraction
34.3.2 Classification
34.4 Result Analysis
34.4.1 Performance Evaluation: Word Matching Score (WMS)
34.5 Conclusion and Future Work
References
35 An Effective Model for Malware Detection
35.1 Introduction
35.2 Literature Survey
35.3 Data Preprocessing
35.4 Model for Malware Detection (MMD)
35.4.1 Overview
35.4.2 MMD Architecture
35.5 Experimental Results
35.6 Testing MMD Model with Unknown Malware
35.7 Conclusion
References
36 An Efficient Approach to Retrieve Information for Desktop Search Engine
36.1 Introduction
36.2 Related Work
36.3 Proposed Methodology
36.3.1 Clustering Probase
36.3.2 POS TAGGING and SEGMENTATION
36.3.3 Conceptualization
36.3.4 Inverted Index
36.4 Experimentation Results
36.5 Conclusion
References
37 Baggage Recognition and Collection at Airports
37.1 Introduction
37.2 Methodology
37.2.1 Conventional Method
37.2.2 Proposed Solution
37.3 Implementation
37.3.1 Schematic Diagram
37.3.2 Circuit Implementation
37.4 Result and Discussion
37.5 Conclusion
References
38 Computer Vision Technique to Detect Accidents
38.1 Introduction
38.2 Existing System
38.3 Proposed System
38.3.1 Faster R-CNN
38.3.2 Region Proposal Networks
38.4 System Implementation and Results
38.4.1 Anchors
38.5 Conclusion and Future Work
References
39 An Efficient Machine Learning Approach for Apple Leaf Disease Detection
39.1 Introduction
39.2 Related Work
39.3 Proposed Method
39.3.1 Data Acquisition
39.3.2 Image Segmentation
39.3.3 Feature Extraction
39.3.4 Disease Detection
39.4 Results and Discussion
39.5 Conclusion
References
40 Precipitation Estimation Using Deep Learning
40.1 Introduction
40.2 Related Works
40.2.1 Statistical Downscaling
40.2.2 Applications
40.3 Methodology
40.4 Discussion
40.5 Conclusion
References
41 The Adaptive Strategies Improving Digital Twin Using the Internet of Things
41.1 Introduction
41.2 Relevant Work
41.3 Proposed Work
41.4 Results and Discussion
41.5 Conclusion
References
42 Deep Learning for Breast Cancer Diagnosis Using Histopathological Images
42.1 Introduction
42.2 Literature Review
42.3 Proposed Method
42.4 Experimental Results
42.5 Conclusion
References
43 Implementation of 12 Band Integer Filter-Bank for Digital Hearing Aid
43.1 Introduction
43.2 Integer Filter-Bank with Internal Gain Adjustment
43.2.1 Integer Filter-Bank
43.2.2 Gain Adjustment
43.3 Design Example and Performance Evaluation
43.4 Results and Discussions
43.5 Conclusion
References
44 Comparative Analysis on Heart Disease Prediction Using Convolutional Neural Network with Adapted Backpropagation
44.1 Introduction
44.2 Literature Survey
44.3 Methodology
44.3.1 Data Collecting
44.3.2 Classification Modeling
44.4 Convolutional Neural Network
44.5 CNN Modified Backpropagation
44.6 Results and Discussion
44.7 Conclusion
References
45 Applying Machine Learning to Enhance COVID-19 Prediction and Diagnosis of COVID-19 Treatment Using Convalescent Plasma
45.1 Introduction
45.2 Convalescent Plasma as Potentially COVID-19 Therapy
45.3 The Covid-19 Healing of Convalescent Plasma
45.3.1 Plasma Convalescent: The Principle of Action
45.3.2 Collections Steps of Convalescent Plasma
45.4 The Plasma Convalescent Dose
45.5 Conclusion
References
46 Analysis of Disaster Tweets Using Natural Language Processing
46.1 Introduction
46.2 Literature Survey
46.3 Proposed Model
46.4 Algorithm
46.5 Results
46.6 Conclusion
References
Author Index