Information, Communication and Computing Technology: 7th International Conference, ICICCT 2022, New Delhi, India, July 16, 2022, Revised Selected ... in Computer and Information Science, 1670)

✍ Scribed by Costin Badica (editor), Marcin Paprzycki (editor), Latika Kharb (editor), Deepak Chahal (editor)

• Publisher: Springer
• Year: 2022
• Tongue: English
• Leaves: 162
• Category: Library

✦ Synopsis

This book constitutes proceedings of the 7th International Conference on Information, Communication and Computing Technology, ICICCT 2022, held in New Delhi, India, in July 2022.
The 11 papers presented in this volume were carefully reviewed and selected from 65 submissions. The papers cover a great variety of topics, such as wireless networks, deep learning, machine learning, neural networks, natural language processing, sentiment analysis, network security, image processing, image augmentation and others.
The contributions are divided into the following thematic blocks: Networking and Communication; Evolutionary Computing through Machine Learning.

✦ Table of Contents

Preface
Organization
Contents
Networking and Communication
Energy Efficient Communication Using Constrained Application Protocol for IoT Devices
1 Introduction
2 Literature Review
3 Motivation and Contribution
4 Proposed Methodology
5 Experiments and Analysis
6 Conclusion
References
A Systematic Study on LoRa Communication in IoT: Implementation Challenges and Research Solutions
1 Introduction
2 Related Work
3 Methodology
3.1 Process
3.2 Data Collection
3.3 Analysis
4 Result and Discussion
4.1 Manual Development
4.2 Topology
4.3 Hardware Requirements
4.4 Software Requirements
4.5 Step by Step Guidelines
4.6 Features, Utilities, and Functions of Gateway
4.7 Uplink and Downlink Communication
5 Conclusion and Future Work
References
A Low Complexity CFO Reduction Technique for LFDMA Systems
1 Introduction
2 LFDMA System
3 Modified Volterra Equalizer
3.1 Reduced Complexity of Modified Volterra Equalizer
3.2 CFO Compensation
4 Simulation Results and Discussion
5 Conclusion
References
DICCh-D: Detecting IPv6-Based Covert Channels Using DNN
1 Introduction
2 Background Information
2.1 Internet Protocol Version 6
2.2 DNN Model
3 Related Work
4 The Proposed DICCh-D
4.1 Phase 1: IPv6 Packets Dataset Creation
4.2 Phase 2: Extraction of IPv6 Header Fields from IPv6 Packets Dataset
4.3 Phase 3: Dataset Preprocessing, Training and Testing of the DNN
5 Experimental Study
5.1 Dataset
5.2 Preprocessing
5.3 Training and Testing Phase
5.4 Evaluation Metrics
5.5 Results
6 Conclusion
References
Evolutionary Computing through Machine Learning
Image Caption Generation for Low Light Images
1 Introduction
2 Related Work
2.1 Image Enhancement
2.2 Object Detection
2.3 Caption Generation
3 Dataset
4 Proposed Solution and Architecture
4.1 Image Enhancement Architecture
4.2 Data and Text Preprocessing
4.3 Caption Generator Architecture
5 Training of Caption Generator
6 Experimentation
6.1 Testing Procedure
7 Use Cases
8 Future Works
9 Conclusion
References
A Study on Feature Selection for Gender Detection in Speech Processing for Assamese Language
1 Introduction
1.1 Literature Review
1.2 Motivation and Contribution
2 Methodology
2.1 Dataset
2.2 Methods
3 Results and Discussion
4 Conclusion
References
Bengali Fake News Detection: Transfer Learning Based Technique with Masked LM Process by BERT
1 Introduction
2 Related Works
3 Proposed Methodology
3.1 Data Collection
3.2 Data Selection
3.3 Data Preprocessing and Features Extraction
3.4 Transformer Architecture
3.5 Model Deployment
4 Experimental Results and Discussion
5 Conclusion
References
Crowd Counting Using Federated Learning and Domain Adaptation
1 Introduction
2 Related Work
3 Proposed Work
3.1 Data Preprocessing-Ground Truth Density Map Generation
3.2 CNN-Based Crowd Counting
3.3 Federated Learning Based Crowd Counting
3.4 Domain Adaptive Crowd Counting
4 Results and Discussions
4.1 Datasets
4.2 Evaluation Metrics
4.3 Outcomes and Comparative Analysis
5 Conclusion and Future Work
5.1 Conclusion
5.2 Future Work
References
News Headline Generation Using Abstractive Text Summarization
1 Introduction
2 Literature Review
3 Methodology
3.1 Dataset
3.2 Data Pre-processing
3.3 Tokenization
3.4 Word Embedding
3.5 Add Tokens to Identify the Beginning and Ending of Text
3.6 Model
4 Results and Analysis
5 Conclusion
References
Facial Based Age Estimation Among Dark Skinned Hominid Species
1 Introduction
2 Related Works
3 Materials and Research Models
3.1 Face Datasets
3.2 Image Processing
3.3 Facial Land Marking and Feature Extraction
3.4 Age Estimation
4 Results and Discussion
4.1 Training
4.2 KNN-SVR Hybrid Algorithm
4.3 Discussions
5 Conclusion
References
Multi-class Classification of Leaves Using Transfer Learning
1 Introduction
2 Related Works
3 Gap in Literature Survey and Our Contribution
4 Methodology
4.1 Dataset Chosen
5 Experiment and Result
6 Conclusion
References
Author Index