Conference Proceedings of ICDLAIR2019

Name: Conference Proceedings of ICDLAIR2019
Brand: Springer
Price: 53.49 EUR
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Meenakshi Tripathi Sushant Upadhyaya(Herausgeber*in)

Springer (Verlag)

Erschienen am 8. Februar 2021

XII, 366 Seiten

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978-3-030-67187-7 (ISBN)

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Beschreibung

This proceedings book includes the results from the International Conference on Deep Learning, Artificial Intelligence and Robotics, held in Malaviya National Institute of Technology, Jawahar Lal Nehru Marg, Malaviya Nagar, Jaipur, Rajasthan, 302017.

The scope of this conference includes all subareas of AI, with broad coverage of traditional topics like robotics, statistical learning and deep learning techniques. However, the organizing committee expressly encouraged work on the applications of DL and AI in the important fields of computer/electronics/electrical/mechanical/chemical/textile engineering, health care and agriculture, business and social media and other relevant domains. The conference welcomed papers on the following (but not limited to) research topics:

· Deep Learning: Applications of deep learning in various engineering streams, neural information processing systems, training schemes, GPU computation and paradigms, human-computer interaction, genetic algorithm, reinforcement learning, natural language processing, social computing, user customization, embedded computation, automotive design and bioinformatics

· Artificial Intelligence : Automatic control, natural language processing, data mining and machine learning tools, fuzzy logic, heuristic optimization techniques (membrane-based separation, wastewater treatment, process control, etc.) and soft computing

· Robotics: Automation and advanced control-based applications in engineering, neural networks on low powered devices, human-robot interaction and communication, cognitive, developmental and evolutionary robotics, fault diagnosis, virtual reality, space and underwater robotics, simulation and modelling, bio-inspired robotics, cable robots, cognitive robotics, collaborative robotics, collectiveand social robots and humanoid robots

It was a collaborative platform for academic experts, researchers and corporate professionals for interacting their research in various domain of engineering like robotics, data acquisition, human-computer interaction, genetic algorithm, sentiment analysis as well as usage of AI and advanced computation in various industrial challenges based applications such as user customization, augmented reality, voice assistants, reactor design, product formulation/synthesis, embedded system design, membrane-based separation for protecting environment along with wastewater treatment, rheological properties estimation for Newtonian and non-Newtonian fluids used in micro-processing industries and fault detection.

Weitere Details

Weitere Ausgaben

Inhalt

Intro
Preface
Organization
Program Chairs
Contents
Indoor Navigation Techniques: A Comparative Analysis Between Radio Frequency and Computer Vision-Based Technologies
1 Background
2 Technology
3 Features
4 Advantages and Applications
5 Example
6 Limitations
7 Literature Review
7.1 Radio Frequency Based Indoor Navigation
7.2 Computer Vision-Based Indoor Navigation
8 Future Perspectives
References
Sentiment Analysis of Hinglish Text and Sarcasm Detection
1 Introduction
1.1 Sentiment Analysis
1.2 Sarcasm Detection
2 Literature Survey
2.1 Sentiment Classification
2.2 Sarcasm Detection
3 Proposed Work
3.1 Hinglish SentiWordNet Approach
3.2 Naïve Bayes Classifier Approach
3.3 Performance Measure
4 Results
4.1 Sentiment Classification
4.2 Sarcasm Detection
4.3 Combined Result of Sentiment Analysis and Sarcasm Detection
5 Conclusion
References
An Online Supervised Learning Framework for Crime Data
1 Introduction
2 Literature Review
2.1 Online Learning
2.2 Vowpal Wabbit
2.3 The BIGQuery API
2.4 Crime Analytics
3 Implementation
3.1 The Problem Statement
3.2 The Dataset
3.3 Exploratory Data Analysis and Data Pre-processing
3.4 Addressing the Problem Statements
4 Performance and Results
4.1 Performance Parameter- Time
4.2 Evaluation Metrics
5 Conclusion
References
A Survey: Secure Indexing & Storage of Big Data
Abstract
1 Introduction
2 Literature Review
3 Problem Definition
4 Proposed Work
5 Expected Outcomes from Proposed Work
6 Conclusion
References
Text Visualization Using t-Distributed Stochastic Neighborhood Embedding (t-SNE)
1 Introduction
2 Related Work
2.1 Parameters in t-SNE
2.2 Vectorization Techniques
3 Proposed Work
3.1 Vectorizations of Different Features
3.2 Text Pre-processing
4 Results
4.1 t-SNE of Bag of Words Representation
4.2 t-SNE of Tf-Idf Representation
4.3 t-SNE of Tf-Idf Weighted Word2Vector Representation
4.4 t-SNE of Combined Vectorizations
5 Conclusions About Data Visualization Using t-SNE
References
Detecting Fake News with Machine Learning
1 Introduction
2 Problem Statement
3 Related Work
4 Proposed Method
4.1 Datasets
4.2 Preprocessing and Features Extraction
4.3 Supervised Learning
5 Conclusion and Future Work
References
Handwritten Gujarati Character Detection Using Image Processing and Recognition Using HOG, DHV Features and KNN
1 Introduction
2 Related Work
3 System Details
3.1 System Architecture
4 Methodology
4.1 Image Thresholding
4.2 Segmentation
4.3 Character Detection
4.4 Feature Extraction
5 Results
5.1 DHV Features
5.2 Recognition Using KNN
6 Conclusion
References
Fake and Live Fingerprint Detection Using Local Diagonal Extrema Pattern and Local Phase Quantization
1 Introduction
2 Related Work
3 Proposed System
3.1 Image Size Reduction
3.2 Feature Extraction
4 Experiment Results and Discussion
5 Conclusion
References
A Survey on Human Action Recognition in a Video Sequence
1 Introduction
1.1 Human Action Recognition - Overview
1.2 Decomposition of Human Actions
1.3 Tasks in Human Action
2 Action Classifiers Used in Human Action Recognition
2.1 Direct Classifiers
2.2 Space-Time Approaches
2.3 Sequential Approaches
2.4 Part-Based Approaches
2.5 Deep Architectures
3 Datasets
3.1 Controlled Environment
3.2 Uncontrolled Environment
4 Experimental Result Analysis
5 Challenges in Human Action Recognition
6 Conclusion
References
Analysis of Optimal Number of Cluster Heads on Network Lifetime in Clustered Wireless Sensor Networks
1 Introduction
2 Literature Review
3 Network Model
4 Problem Statement
5 Results and Analysis
6 Conclusion
References
Frequent Pattern Mining Approach for Fake News Detection
1 Introduction
1.1 Data Mining
1.2 Social Media
2 Related Work
3 Problem Statement
4 Data Set
4.1 Fake or Real News
4.2 Twitter Extracted Data
4.3 Social Media API
5 Data Preprocessing Techniques
5.1 Language
5.2 URL Extraction
5.3 Tokenization
5.4 Removal of Stop Words
6 Feature Extraction Techniques
6.1 Count Vectorizer
6.2 TF-IDF Vectorizer
7 Application of Algorithms
7.1 Naive Bayes Classification
7.2 Decision Tree
7.3 Association Rule Based Classification
8 Results
8.1 ARBC on Fake News Data Set
8.2 ARBC on Twitter Extracted Data Set
8.3 Comparison of Algorithms
9 Inferences
10 Conclusion and Future Work
References
A Hybrid Method for Intrusion Detection Using SVM and k-NN
1 Introduction
1.1 Support Vector Machines
1.2 k-Nearest Neighbor
2 Dataset Used
3 Evaluation Criteria
4 Methodology
4.1 Step 1
4.2 Step 2
5 Experiment and Analysis
6 Conclusion and Future Works
References
Grammar Based Computing: A New Paradigm for Solving Real Life Problems
1 Introduction
2 Brief Overview of Existing Methods Used for Solving Real Life Problems and Proposed Approach
3 Proposed Approach
4 Proposed Algorithm
5 Conclusion and Future Work
References
Air Pollution Monitoring Using Blue Channel Texture Features of Image
1 Introduction
2 Methodology
2.1 Dataset Description
2.2 Image Pre-processing
2.3 Feature Extraction
3 Classification
4 Result and Discussion
5 Conclusion
References
Transmission Map Estimation Function to Prevent Over-Saturation in Single Image Dehazing
1 Introduction
2 Proposed Methodology
2.1 Dark Channel
2.2 RGB to HSV Conversion
2.3 Proposed Transmission Map Estimation Function
2.4 Atmospheric Light Estimation and Image Dehazing
3 Experimental Results
4 Conclusions
References
Stock Price Prediction Using Recurrent Neural Network and Long Short-Term Memory
1 Introduction
2 Previous Models and Drawbacks
3 Methodology
4 Result and Discussion
5 Conclusion
References
Artificial Neural Network Model for Path Loss Predictions in the VHF Band
1 Introduction
2 Materials and Methods
2.1 Field Measurement Campaigns
2.2 ANN Model Development for Path Loss Predictions
3 Results and Discussion
4 Conclusion
References
ShallowFake-Detection of Fake Videos Using Deep Learning
1 Introduction
2 Background
3 Related Work
4 Proposed System
5 Expected Result and Analysis
6 Conclusion
References
Accessibility Analysis of Indian Government Websites
1 Introduction
2 Related Works
3 Experiments and Results
4 Major Flaws in Existing Websites
5 Suggestions for Improvement
6 Conclusion
References
Preprocessing HTTP Requests and Dimension Reduction Technique for SQLI Detection
1 Introduction
2 Related Work
3 The Combine Approach
4 Experiments and Result Evaluation
5 Conclusion
References
Swift Controller: A Computer Vision Based Mouse Controller
1 Introduction
2 Background Work
3 System Architecture
4 Proposed Algorithm
4.1 Color Segmentation
4.2 Center Identification
4.3 Fingertips Localization
4.4 Gestures Identification
5 Experimentation and Results
6 Conclusion and Future Scope
References
Simultaneous Vehicle Steering and Localization Using EKF
1 Introduction
2 Problem Formulation
2.1 Bicycle Model ch23rajamani2011vehicle
2.2 Measurement Model
3 Methodology
3.1 Extended Kalman Filter ch23simon2006optimal
3.2 Controller Design
4 Results
5 Conclusions
References
Cloud-Based Clinical Decision Support System
1 Introduction
2 Background
3 Literature Review
4 Methodology
4.1 Cloud-Based Clinical Decision Support System Analysis
4.2 CDSS Design and Architecture
4.3 Quantitative Survey
4.4 Survey Results Finding
4.5 Data Analysis and Evaluation
5 CDSS Implementation
6 System Evaluation
7 Conclusions
References
Performance Measurement of RPL Protocol Using Modified MRHOF in IoT Network
1 Introduction
2 Background
3 Related Work
4 Problem Statement
5 Proposed Work
6 Performance Evaluation
7 Conclusion and Future Work
References
E-MOC: An Efficient Secret Sharing Model for Multimedia on Cloud
1 Introduction
2 Literature Survey
3 Background
4 Proposed Technique
4.1 Splitting_Mapping_1
4.2 Generating Key Sequence
4.3 Steps Involved in Encryption Process
4.4 Splitting_Mapping_2
4.5 Steps Involved in Decryption Process
4.6 Secret Sharing over Cloud
5 Experiments and Results
5.1 Qualitative Analysis
5.2 Quantitative Analysis
5.3 Limitations and Test Cases
6 Conclusion
References
Fuzzy Logic Based Clustering for Energy Efficiency in Wireless Sensor Networks
1 Introduction
2 Literature Review
3 Fuzzy Based Energy Efficent Clustering (FBEEC)
4 Simulation Results and Analysis
4.1 Network Communication Model
4.2 Simulation Analysis
5 Conclusion
References
Smart Multipurpose Robotic Car
1 Introduction
1.1 Application Area of Robotics
2 Related Work
3 Proposed Multipurpose Smart Robotic Car Model
3.1 Features of Proposed Smart Robotic Car Model
3.2 Devices Used for the Development
4 Results
5 Conclusion and Future Work
References
Effect of Arm Posture and Isometric Hand Loading on Shoulders Muscles
1 Introduction
2 Related Work
3 Proposed Work
3.1 Apparatus Design
3.2 Participants
3.3 Experiment Protocol
3.4 Statistical Analysis
4 Result and Analysis
4.1 Statistics of Shoulder Flexion for Trapezius Muscle
4.2 Statistics of Shoulder Abduction for Trapezius Muscle
4.3 Statistics of Shoulder Flexion for Deltoid Muscle
4.4 Statistics of Shoulder Abduction for Deltoid Muscle
4.5 Statistics of Shoulder Flexion for Biceps Brachii Muscle
4.6 Statistics of Shoulder Abduction for Biceps Brachii Muscle
5 Conclusion
References
Cancer Detection Using Convolutional Neural Network
1 Introduction
2 Literature Survey
3 Architecture
3.1 Convolutional Neural Network
3.2 Proposed Implementation
4 Experimental Evaluation and Results
4.1 Invasive Ductal Carcinoma Dataset Visualization
4.2 Testing Results
4.3 Comparison with the State-of-Art
5 Conclusion
References
POCONET: A Pathway to Safety
1 Introduction
2 Related Work
2.1 Using Image Processing and Classical Machine Learning
2.2 Using Sensors and Smartphone
3 Proposed Work
3.1 Model Training
3.2 POCONet Implementation
4 Results
5 Conclusion
References
Comparative Study of Object Recognition Algorithms for Effective Electronic Travel Aids
1 Introduction
2 Literature Review
3 Methodology
3.1 Component Description
3.2 Collection of Dataset
3.3 Convolution Neural Networks
3.4 Detection Algorithms
3.5 Training the Dataset
3.6 Testing the Dataset
4 Results
5 Conclusion and Future Scope
References
Unmanned Vehicle Model Through Markov Decision Process for Pipeline Inspection
1 Introduction
2 Background and Related Work
2.1 Formal Description of MDP
2.2 Markov Process and It's Discrete Time Finite State
3 Proposed Methodology (Mdp)
3.1 MDP State
3.2 MDP Actions
3.3 MDP State Transition Matrix
3.4 A Model for Markov Decision Processes
3.5 MDP Associated Action-Reward
3.6 MDP Actions
4 Experiment
4.1 Construction of Pipelines
4.2 Design of Corroded Parts
5 Discussion
6 Conclusion
References
Face Spoofing Detection Using Dimensionality Reduced Local Directional Pattern and Deep Belief Networks
1 Introduction
2 Related Works
3 Proposed Method
4 Experimental Results
4.1 CASIA Face Anti- Spoofing Database
4.2 MSU Mobile Face Spoof Database
4.3 Cross Database Validation
5 Conclusion
References
Prediction of Liver Disease Using Grouping of Machine Learning Classifiers
1 Introduction
2 Literature Survey
3 Dataset Description
4 Various Techniques Used
4.1 Feature Selection Techniques
4.2 Machine Learning Algorithms
5 Proposed Methodology
5.1 Data Visualization
5.2 Data Preprocessing
6 Results
7 Conclusion and Future Scope
References
Travelling Salesman Problem Optimization Using Hybrid Genetic Algorithm
1 Introduction
2 Problem Formulation
3 Problem Statement
4 Genetic Algorithm
4.1 Encoding
4.2 Evaluation
4.3 Cross-Over
4.4 Mutation
4.5 Decoding
5 ACTIVE Genetic Algorithm (AGA)
5.1 Sub Division
5.2 Sorting and Grouping
6 Implementation of AGA
7 Results
8 Concluding Remarks and Future Work
References
VBNC: Voting Based Noise Classification Framework Using Deep CNN
1 Introduction
2 Related Work
2.1 Data-Set Description
2.2 Research Challenge
3 Proposed Model
3.1 Proposed CNN Architecture
4 Experimental Results and Analysis
4.1 Performance Evaluation Parameter
4.2 Results
5 Conclusion and Future Work
References
Author Index

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