This book focuses on both theory and applications in the broad areas of computational intelligence and machine learning. The proceedings of the Seventh International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2019) present research papers in the areas of advanced computing, networking, and informatics. It brings together contributions from scientists, professors, scholars, and students and presents essential information on the topic. It also discusses the practical challenges encountered and the solutions used to overcome them, the goal being to promote the “translation” of basic research into applied research and of applied research into practice. The works presented here also demonstrate the importance of basic scientific research in a range of fields.
Author(s): Jyotsna Kumar Mandal, Imon Mukherjee, Sambit Bakshi, Sanjay Chatterji, Pankaj K. Sa
Series: Advances in Intelligent Systems and Computing, 1276
Publisher: Springer Singapore
Year: 2021
Language: English
Pages: 200
City: Singapore
Preface
Contents
About the Editors
Applications of Neural Network
Minutiae Points Extraction Using Faster R-CNN
1 Introduction
2 Literature Review
3 Proposed Method
3.1 Ground Truth Preparation
3.2 Training of Faster R-CNN
3.3 Localization of Minutiae Points
4 Experimental Analysis
5 Conclusions
References
Genetic Algorithm-Based Optimization of Clustering Data Points by Propagating Probabilities
1 Introduction
2 Related Work
3 Methodology
3.1 Optimized PP Algorithm with Genetic Algorithm
3.2 Result and Analysis
4 Conclusion and Future Work
References
Detection of Malaria Parasites in Thin Blood Smears Using CNN-Based Approach
1 Introduction
2 Related works
3 Proposed Method
3.1 Intensity Enhancement
3.2 RBC Segmentation
3.3 Parasite Detection Using Convolutional Neural Network
4 Conclusion and Discussion
References
A Deep Learning Approach for Predicting Air Pollution in Smart Cities
1 Introduction
2 Literature Review
3 Proposed Prediction Method
3.1 Deep Long Short-Term Memory
3.2 Data Collection
3.3 AQI Calculation
3.4 Auto Correlation Coefficient Calculation
4 Experimental Environment
4.1 Data Collection
4.2 Data Preprocessing
4.3 Training Methodology
5 Results and Discussion
6 Conclusion
References
Structural Design of Convolutional Neural Network-Based Steganalysis
1 Introduction
1.1 Motivation
1.2 The Structure of Prevailing Steganalysis Methods
2 Proposed Work
3 Results and Discussions
4 Conclusion and Future Research Opportunity
References
Natural Language Processing
Sarcasm Detection of Media Text Using Deep Neural Networks
1 Introduction
2 Related Work
2.1 Rule and Feature-Based Approaches
2.2 Deep Learning-Based Approaches
3 The Proposed Framework
3.1 Data
3.2 Data Preprocessing
3.3 Feature Extraction
3.4 Proposed Deep Neural Network
4 Results and Analysis
5 Conclusion
References
Sentiment Analysis Using Twitter
1 Introduction
2 Literature Survey
2.1 Twitter Sentimental Analysis
3 Results and Discussion
4 Conclusion
5 Future Work
References
A Type-Specific Attention Model For Fine Grained Entity Type Classification
1 Introduction
1.1 NETC
1.2 FETC: Refining the Granularity
1.3 Recent Advances in FETC
2 Proposed Model
2.1 Embedding Space
2.2 Mention Vector Representation
2.3 Context Vector Representation
2.4 Inference and Loss
3 Evaluation and Results
3.1 Dataset
3.2 Evaluation Criteria
3.3 Results
4 Conclusion
References
A Two-Phase Approach Using LDA for Effective Domain-Specific Tweets Conveying Sentiments
1 Introduction
2 Literature Survey
3 Methodology
3.1 Recommending Product Features
3.2 Suggesting Appropriate Opinion Words
4 Implementation and Experimental Results
5 Conclusion and Future Work
References
News Background Linking Using Document Similarity Techniques
1 Introduction
2 Related Work
3 The Proposed Framework
3.1 Dataset
3.2 Data Preprocessing
3.3 Topic Modelling
3.4 Document Similarity
4 Results and Analysis
5 Conclusion
References
GRSS
Formation of Straight Line By Swarm Robots
1 Introduction
2 Overview of the Problem
3 Description of the Algorithm
4 Correctness
5 Conclusion
References
A Novel Technique to Utilize Geopolitical Risk as a Factor for Predicting Gold Price
1 Introduction
2 Related Work
3 Importance of Selecting Geopolitical Risk as a Feature
4 Experimental Results for the Regression Procedure
4.1 Comparison with Previous Work
5 Conclusion
References
Effect of Window Size on Fourier Space of CMAM30 Model Data Generated for Satellite Sampling
1 Introduction
2 Data and Method
3 Result and Discussion
4 Conclusion
References
Design and Analysis of an Efficient Queue Scheduling Scheme for Heterogeneous Traffics in BWA Networks
1 Introduction
2 Queue Scheduler Design
3 Analytical Model
4 Settings of the System Parameters
5 Performance Analysis
6 Conclusion
References
Simulation of Cardiac Action Potential with Deterministic and Stochastic Pacing Protocols
1 Introduction
2 Methods
2.1 Theory and Mathematical Formulation
2.2 Simulink Model
3 Results
3.1 Periodic Rate Dependence
3.2 Deterministic Pacing and Stochastic Pacing
4 Conclusion
References
A Study on Development of PKL Power
1 Introduction
2 Objectives
3 Methodology
4 Nernst Equation and PKL Cell
5 Observations of the Concentration of Cu2+ Varying with Time
6 Reactions
7 Results and Discussion
8 Conclusions
References
Analysis of Lakes Over the Period of Time Through Image Processing
1 Introduction
2 Materials and Methods
3 Great Salt Lake
4 Lake Powell
5 Delineation of Images
6 Prewitt Method
7 Difference in the Images
8 Results
8.1 Great Salt Lake
9 Lake Powell
10 Summary and Discussion
References
Video Watermarking for Persistent and Robust Tracking of Entertainment Content (PARTEC)
1 Introduction
2 Motivation and Requirements Analysis
2.1 Requirements Analysis
3 The System Architecture
3.1 File format handling
3.2 Watermarking
3.3 Synchronisation
3.4 Overall Watermarking Work Flow
4 System Verification, Results and Discussions
4.1 Results and Discussion
5 Conclusions
References
Author Index
