Proceedings of Fourth International Conference on Computer and Communication Technologies: IC3T 2022

Preface
Contents
Editors and Contributors
Plant Diseases Detection Using Transfer Learning
	1 Introduction
	2 Literature Review
	3 Proposed Model
		3.1 Data Preprocessing
		3.2 Data Augmentation
		3.3 Proposed Approach—Transfer Learning
	4 Experimental Framework
		4.1 Implementation Details
	5 Result and Discussion
	6 Conclusion and Future Work
	References
Shuffled Frog Leap and Ant Lion Optimization for Intrusion Detection in IoT-Based WSN
	1 Introduction
	2 Literature Survey
	3 Problem Statement
	4 Proposed Method
		4.1 Computation of the Fit Factor
		4.2 Shuffled Frog Leap Algorithm
		4.3 Ant Lion Optimization (ALO)
	5 Results and Discussion
		5.1 Black Hole Attack at 50 Nodes
		5.2 DDOS Attack at 50 Nodes
	6 Conclusion
	References
A Comprehensive Alert System Based on Social Distancing for Cautioning People Amidst the COVID-19 Pandemic Using Deep Neural Network Models
	1 Introduction
	2 Objectives
	3 Literature Review
	4 Proposed Methods in Continuous Development
	5 Performance Metrics
	6 Data Collection
	7 Outcome
	8 Comparison Values of Various Methodologies as Determined by Various Studies
	9 Conclusion and Future Scope
	References
An Improved Image Enhancing Technique for Underwater Images by Using White Balance Approach
	1 Introduction
	2 Literature Survey
	3 Existing Method
		3.1 Red Channel Compensation
		3.2 Colour Correction
		3.3 Histogram Stretching
	4 Proposed Method
		4.1 Histogram Equalizaton
	5 Experimental Results
	6 Conclusion
	References
32-Bit Non-pipelined Processor Realization Using Cadence
	1 Introduction
		1.1 Literature Review
	2 Implementation
		2.1 Simulations
		2.2 Program Code
	3 Conclusion
	References
Metaverse: The Potential Threats in the Virtual World
	1 Introduction
	2 Various Technologies in the Metaverse
		2.1 Role of Virtual Reality
		2.2 Role of Augmented Reality
		2.3 Role of Blockchain
		2.4 Role of Artificial Intelligence
		2.5 Role of NFT
	3 Are We Ready for Metaverse?
		3.1 Issues in Metaverse
	4 Discussions
	5 Conclusion
	References
A Mobile-Based Dynamic Approach to Comparative Study of Some Classification and Regression Techniques
	1 Introduction
	2 Literature Review
	3 Methodology
		3.1 Application Development Approach
		3.2 Building Machine Learning Pipeline
		3.3 Enabling Machine Learning Pipeline in a Flask Environment
		3.4 Through Flask Create an API that Takes a CSV File and Send Results
		3.5 Create a Flutter Application that Can Interact with the API and Show Results from the Server
	4 Results
	5 Conclusion and Future Scope
	References
Land Cover Mapping Using Convolutional Neural Networks
	1 Introduction
	2 Related Work
	3 Proposed Methodologies
		3.1 VGG16
		3.2 Convolutional Neural Network (CNN)
		3.3 Fast.AI
	4 Experimental Analysis
	5 Architecture
	6 Observations
	7 Conclusion
	References
Establishing Communication Between Neural Network Models
	1 Introduction
		1.1 Among Us
		1.2 Adversarial Networks
		1.3 Multi-agent Communication
	2 Approach
		2.1 Deductive Situation
		2.2 Modeling Interpretation and Communication
		2.3 Zero-Sum Target
		2.4 Training Scheme
		2.5 Challenges
		2.6 Situation Hyperparameters
	3 Results
		3.1 Oscillating Scores
		3.2 Interpreting Communication Vectors
	4 Conclusion
	References
Hardware Implementation of Cascaded Integrator-Comb Filter Using Canonical Signed-Digit Number System
	1 Introduction
	2 Method
	3 CIC Decimation Filter
		3.1 Design Example
	4 Approach of CSD Number System
	5 Hardware Implementation Results
	6 Conclusion
	References
Study of Security for Edge Detection Based Image Steganography 
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
	4 Results and Performance Analysis
	5 Conclusion and Future Work
	References
Fake Face Image Classification by Blending the Scalable Convolution Network and Hierarchical Vision Transformer
	1 Introduction
	2 Literature Review
		2.1 Fake Image Generation
		2.2 Fake Image Detection Techniques
	3 Proposed Method
		3.1 Preprocessing
		3.2 EfficientNet
		3.3 SWIN Transformer
	4 Results and Discussions
		4.1 140 K Real and Fake Faces
		4.2 Experimental Set-Up
		4.3 Discussions
	5 Conclusion
	References
Performance Analysis of Osteoarthritis from Knee Radiographs Using Convolutional Neural Networks
	1 Introduction
	2 Literature Survey
		2.1 Classification of the Knee Joints Using Pre-trained CNNs
		2.2 Classifications of Knee Joint from Fine-Tuned CNN Numbering
	3 Material and Methods
	4 Results and Discussion
		4.1 Evaluation Metrics
	5 Conclusion
	References
Efficient Motion Detection and Compensation Using FPGA
	1 Introduction
		1.1 Related Work
	2 Architecture Framework
		2.1 Controller Unit
		2.2 Motion Recognition
		2.3 Motion Correction
	3 Results and Discussion
		3.1 FPGA Implementation
		3.2 Performance Evaluation
	4 Conclusion
	References
Discover Crypto-Jacker from Blockchain Using AFS Method
	1 Introduction
	2 Crypto-Jacking Attack
		2.1 How Crypto-Jacking Characters Are Extend
		2.2 Attack Methods
	3 Crypto-jacking Attack Model
		3.1 Running
		3.2 Reborn
		3.3 Submerge
		3.4 Poisoned
	4 Proposed Approaches
		4.1 Proposed Model Training Process System
	5 Our Experiment
	6 Conclusion
	7 Future Works
	References
Automated Detection for Muscle Disease Using EMG Signal
	1 Introduction
	2 Proposed Methodology
		2.1 Data Set
		2.2 Pre-processing
		2.3 Feature Extraction
		2.4 Feature Selection and Classification
	3 Results and Discussions
	4 Conclusions
	References
Drowsiness Detection for Automotive Drivers in Real-Time
	1 Introduction
	2 The Methodology
		2.1 Alcohol Detection
		2.2 Face Detection
		2.3 Face Detection of Authorised Driver and Unauthorised Face
		2.4 Eye Detection
		2.5 Eye-State Classification
		2.6 Levels of Drowsiness Detection
	3 Experimental Setup
	4 Results and Discussion
		4.1 Alcohol Detection
		4.2 Face Detection
		4.3 Eye Detection
		4.4 Various Levels of Drowsiness
	5 Conclusion
	6 Future Scope
	References
Prediction of Dementia Using Deep Learning
	1 Introduction
	2 Related Work
	3 Proposed Work
	4 Experiment
	5 Results
	6 Conclusion
	References
Performance Analysis of Universal Filtered Multicarrier Waveform with Various Design Parameters for 5G and Beyond Wireless Networks
	1 Introduction
	2 Concepts of Multicarrier Waveform
	3 Mathematical Model for UFMC Waveform
	4 Mathematical Model at Receiver Side
	5 UFMC System Specifications and Simulation Results
	6 Conclusion
	References
Diabetic Retinopathy (DR) Detection Using Deep Learning
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Results and Discussion
	5 Future Scope
	6 Conclusion
	References
Comparative Analysis Using Data Mining Techniques to Predict the Air Quality and Their Impact on Environment
	1 Introduction
	2 Related Work
	3 Dataset Observation
		3.1 Dataset Collection
		3.2 Preprocessing and Feature Selection
	4 Technical Approach
		4.1 Bayesian Naive
		4.2 Decision Trees
		4.3 Gradient Boosting Tree
		4.4 Logistic Regression
		4.5 Support Vector Machine
		4.6 Deep Learning with Algorithms
	5 Result Analysis with Different Data Mining Techniques
		5.1 Models Comparison
		5.2 Classification Errors Rate in Different Models
		5.3 Hierarchical Learning and Deep Learning Algorithmic
	6 Conclusion and Future Scope
	References
Complexity Reduction by Signal Passing Technique in MIMO Decoders
	1 Introduction
	2 System Model
	3 Existing Method
	4 Proposed Algorithm
	5 Evaluation
	6 Simulation Results
	7 Conclusion
	References
A New Approach to Improve Reliability in UART Using Checksum Algorithm
	1 Introduction
	2 Modified UART Data Frame
	3 Proposed UART Transmitter Architecture
		3.1 Checksum Generator
		3.2 Baud Rate Generator
		3.3 Transmitter Finite State Machine
		3.4 Parallel Input Serial Output Register
	4 Proposed UART Receiver Architecture
		4.1 Negative Edge Detector
		4.2 Baud Rate Generator
		4.3 Receiver Finite State Machine
		4.4 Serial Input Parallel Output Shift Register
		4.5 Checksum Checker
	5 Results and Discussions
	6 Conclusion
	References
Modified VHDL Implementation of 128-Bit Rijndael AES Algorithm by Asymmetric Keys
	1 Introduction
		1.1 Literature Review
		1.2 Methodology
	2 Results and Discussion
		2.1 Conclusion
		2.2 Future Scope
	References
A Computationally Inexpensive Method Based on Transfer Learning for Mobile Malware Detection
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Image Generation
		3.2 Malicious Android Application Detection Based on Transfer Learning
	4 Experimental Setup, Datasets, and Evaluation
		4.1 Dataset Description
		4.2 Evaluation
	5 Conclusion
	References
A Statistical Approach for Extractive Hindi Text Summarization Using Machine Translation
	1 Introduction
	2 Related Work
	3 Proposed Work
		3.1 Datasets and Translated Hindi Corpus Generation
		3.2 Preprocessing
		3.3 Maximum Likelihood Estimation
		3.4 Automatic Text Summarization
		3.5 Summary Generation
	4 Results and Discussions
	5 Conclusion
	References
Semantic Parser Using a Sequence-to-Sequence RNN Model to Generate Logical Forms
	1 Introduction
	2 Literature Review
	3 Task
		3.1 Datasets
	4 RNN Model
		4.1 Encoder Module
		4.2 Decoder Initialization Module
		4.3 Decoder Attention Module
		4.4 Decoder Update Module
		4.5 Decoder Output Module
		4.6 All Models
		4.7 Learning
	5 Compositional Data Augmentation
		5.1 Augmentation on Regular Expressions
	6 Experiments
		6.1 Specifics of Execution
		6.2 Effect of Data Augmentation
		6.3 Out-of-Domain Augmentation
	7 Conclusion
	References
NFF: A Novel Nested Feature Fusion Method for Efficient and Early Detection of Colorectal Carcinoma
	1 Introduction
	2 Related Works
	3 Materials and Methods
		3.1 Data Collection
		3.2 Data Preprocessing
		3.3 Dataset Division
		3.4 Transfer Learning
		3.5 EfficientNet
		3.6 Proposed Nested Feature Fusion Method
	4 Deep Feature Extraction and Model Training
		4.1 Loss Function: Categorical Cross-Entropy
		4.2 Classifier: Softmax
		4.3 Learning Rate Decay
	5 Experimental Results and Discussion
		5.1 Experimental Setup
		5.2 Classifier Performance
		5.3 Nested Fusion Model
	6 Conclusion and Future Directions
	References
Arrhythmia Classification Using BiLSTM with DTCWT and MFCC Features
	1 Introduction
	2 Database Used
	3 Preprocessing
		3.1 ECG Signal Denoising
		3.2 ECG Segmentation
	4 Feature Extraction
		4.1 DTCWT-Based Features
		4.2 MFCC-Based Features
	5 Proposed Methodology
	6 Conclusion
	References
Anomaly-Based Hierarchical Intrusion Detection for Black Hole Attack Detection and Prevention in WSN
	1 Introduction
	2 Literature Survey
	3 Black Hole Attack Detection and Prevention in WSN
	4 Result Analysis
	5 Conclusion
	References
A Reliable Novel Approach of Bio-Image Processing—Age and Gender Prediction
	1 Introduction
	2 Literature Survey
		2.1 Proposed Method
		2.2 Face Detection
		2.3 Features Classification
	3 Results
		3.1 Training Parameters
	4 Conclusion
	References
Restoration and Deblurring the Images by Using Blind Convolution Method
	1 Introduction
	2 Literature Survey
		2.1 Iterative Phase Retrieval
		2.2 Measure of Blur Kernel Quality
		2.3 Image Quality Estimation
	3 Restoration of Blur Images
		3.1 Methodology
		3.2 Wiener Filter
		3.3 Point Spread Function (PSF)
		3.4 The Richardson-Lucy (R-L) Algorithm
	4 Results
		4.1 Deblurring Results
	5 Conclusion
	References
Interpretation of Brain Tumour Using Deep Learning Model
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Experiments
		4.1 Data set
	5 Conclusion
	References
An Improved Blind Deconvolution for Restoration of Blurred Images Using Ringing Removal Processing
	1 Introduction
	2 Literature Survey
	3 Improved Blind Deconvolution Using Ringing Removal Processing
		3.1 Image Blind Deblurring
		3.2 Dark Channel Prior
		3.3 Blind Deconvolution Using Joint Bilateral Filter
		3.4 PSF Estimation
		3.5 Ringing Removal Processing
	4 Results
	5 Conclusion
	References
A Review on Deep Learning Approaches for Histopathology Breast Cancer Classification
	1 Introduction
	2 Breast Cancer Approaches
		2.1 Self and Clinical Examinations and Mammography
	3 Breast Cancer and Types
	4 Datasets and Processing Methods
		4.1 Databases
		4.2 Data Augmentation
		4.3 Preprocessing
	5 Comparative Analysis
	6 Conclusion
	References
IoT-Based Smart Agricultural Monitoring System
	1 Introduction
	2 Types of Sensors
		2.1 DHT11 Sensor
		2.2 pH Sensor
	3 Raspberry Pi 4, Model B
	4 Node MCU ESP8266
	5 Decision Tree Regression Algorithm
	6 ThingSpeak Server
	7 Flowchart
	8 Connection of Node MCU with pH Sensor and DHT11
	9 Connection of ESP8266 with Raspberry Pi
	10 Methodology
	11 Results
	12 Conclusion
	References
Singular Value Decomposition and Rivest–Shamir–Adleman Algorithm-Based Image Authentication Using Watermarking Technique
	1 Introduction
	2 Related Work
	3 Proposed Watermarking Technique
		3.1 Embedding of Watermark Image
		3.2 Extraction of Watermark
	4 Experimentation and Results
		4.1 Security Analysis
	5 Conclusion
	References
Crop Yield Prediction Using Machine Learning Algorithms
	1 Introduction
	2 Crop Yield
	3 Machine Learning Techniques
		3.1 Random Forest
		3.2 Gradıent Boosting
		3.3 XGBoost
		3.4 Ensemble XGBoost-RF
		3.5 Evaluation Metrics
	4 Results and Discussion
	5 Conclusion
	References
Analysis of Students’ Fitness and Health Using Data Mining
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
		3.1 Model Building
		3.2 Model Comparison
		3.3 Evaluation Measures
	4 Results
	5 Conclusion
	References
Local Agnostic Interpretable Model for Diabetes Prediction with Explanations Using XAI
	1 Introduction
	2 Related Work
	3 Materials and Methods
		3.1 Dataset Description
		3.2 Problem Description
		3.3 Interpretable Machine Learning Models
	4 Results and Discussions
		4.1 Experimental Setup
		4.2 Results
		4.3 LIME Explanations
	5 Conclusion and Future Scope
	References
Exploring the Potential of eXplainable AI in Identifying Errors and Biases
	1 Introduction
	2 Background
		2.1 The XAI Approach
	3 Methods
	4 Defining Interpretability
		4.1 Dimensions of AI Explanation
		4.2 Possible Metrics
	5 The Troubles of Explanations
		5.1 Measuring Fidelity
		5.2 Decision Making Biases
	6 Conclusions
	References
Novel Design of Quantum Circuits for Representation of Grayscale Images
	1 Introduction
	2 Background Information
	3 Proposed Work
		3.1 Single-Qubit Circuit Generating 2-Dimensional Arbitrary Real Statevector
		3.2 Two-Qubit Circuit Generating 4-Dimensional Arbitrary Real Statevector
		3.3 Multi-Qubit Circuit Generation for Arbitrary 2n-Dimensional Real Statevector
	4 Conclusion
	References
Trajectory Tracking Analysis of Fractional-Order Nonlinear PID Controller for Single Link Robotic Manipulator System
	1 Introduction and Literature Surveys
	2 Modeling of the SLRM System
	3 Suggested Control Technique and Tuning Using GA
	4 Simulation and Analysis of Trajectory Tracking
	5 Conclusion and Future Trends
	References
PCA-Based Machine Learning Approach for Exoplanet Detection
	1 Introduction
	2 Literature Review
	3 Methodology
	4 Implementation
		4.1 Normalization
		4.2 Principal Component Analysis (PCA)
		4.3 Training of Data
	5 Experimental Results
		5.1 Normalization
		5.2 Principle Components (Two)
		5.3 Support Vector Machine
		5.4 Random Forest Classifier
		5.5 Feature Importance
	6 Conclusion
	References
Self-build Deep Convolutional Neural Network Architecture Using Evolutionary Algorithms
	1 Introduction
	2 Related Work
	3 Proposed Encoding Scheme
		3.1 Hyperparameter Selection
		3.2 Novelty and Contribution
	4 Results and Discussion
	5 Conclusion
	References
Bird Species Recognition Using Deep Transfer Learning
	1 Introduction
	2 Relevant Study
	3 Proposed Method
	4 Experimental Results
	5 Conclusion
	References
CNN-Based Model for Deepfake Video and Image Identification Using GAN
	1 Introduction
	2 Literature Review
	3 Proposed CNN Model for COVID X-Ray Detection
	4 Implementation of Proposed CNN Model
	5 Experimental Results
	6 Conclusion
	References
Comparative Analysis of Signal Strength in 5 LTE Networks Cell in Riobamba-Ecuador with 5 Propagation Models
	1 Introduction
	2 Theorical Framework
		2.1 Log-Normal Path Loss Model
		2.2 Okumura-Hata Model
		2.3 COST 231 Model
		2.4 Walfisch-Bertoni Model
		2.5 SUI Model
		2.6 Theory of Errors
	3 Methodology
		3.1 Data Collection
		3.2 Parameters to Consider
		3.3 Application of Propagation Models
	4 Results
		4.1 El Cisne Base Station
		4.2 Zeus Base Station
		4.3 Guayaquil Park Base Station
		4.4 Santa Cecilia Base Station
		4.5 Pichincha Bank Base Station
	5 Conclusions
	References
Automated System Configuration Using DevOps Approach
	1 Introduction
	2 Literature Review
	3 Dataset Characteristics
	4 Methodology
	5 Implementation and Results
		5.1 sshKeygen
		5.2 sshCopyId
		5.3 5x-Automation
		5.4 RPM Packaging
	6 Conclusion
	References
Face Mask Detection Using Multi-Task Cascaded Convolutional Neural Networks
	1 Introduction
	2 Related Work
	3 Proposed Method
	4 Experiments
	5 Conclusion
	References
Empirical Study on Categorized Deep Learning Frameworks for Segmentation of Brain Tumor
	1 Introduction
	2 Related Works
		2.1 Single and Multi-Path CNN
		2.2 Fully Convolutional Neural Networks
	3 Conclusion
	References
An Extensive Survey on Sentiment Analysis and Opinion Mining: A Software Engineering Perspective
	1 Introduction
		1.1 Critical Contributions
	2 Literature Review
	3 Sentiment Analysis
	4 Steps Involved in Sentimental Analysis
	5 Applications of Sentimental Analysis
	6 Research Challenges and Issues
	7 Sentiment Classification Techniques
	8 Sentiment Analysis and Software Engineering
	9 Sentiment Analysis and Refactoring
	10 Conclusion
	References
Feature Enhancement-Based Stock Prediction Strategy to Forecast the Fiscal Market
	1 Introduction
	2 Research Framework
		2.1 Collection of Raw Dataset
		2.2 Data Preprocessing
		2.3 Detection and Avoidance of Multicollinearity
	3 Model Implementation
		3.1 Performance Evaluation
	4 Results and Discussion
	5 Conclusion and Future Scope
	References
Early Prediction of Diabetes Mellitus Using Intensive Care Data to Improve Clinical Decisions
	1 Introduction
		1.1 Features Overview
	2 Literature Survey
	3 Exploratory Data Analysis
		3.1 Identifying Column Types
		3.2 Diabetes Status by Age and Gender
		3.3 Ethnicity Distribution
		3.4 Correlation Between Variables
	4 Preprocessing
		4.1 Handling Missing Values
		4.2 Data Cleaning
		4.3 Encoding Categorical Variables
	5 Methodology
		5.1 Hyper Parameter Tuning
		5.2 Evaluation Metrics
	6 Results and Discussion
	7 Conclusion
	References
Authorship Identification Through Stylometry Analysis Using Text Processing and Machine Learning Algorithms
	1 Introduction
		1.1 Gradient Descent Algorithm
	2 Literature Survey
	3 Proposed System
	4 Preprocessing
		4.1 Dataset Preparation
		4.2 Advantages of Using This Dataset
		4.3 Loading the Dataset
		4.4 Preprocessing Step
	5 Methodology
		5.1 Classification Using Stochastic Gradient Descent Algorithm
	6 Result Analysis
	7 Conclusion and Future Work
	References
Music Genre Classification Using Librosa Implementation in Convolutional Neural Network
	1 Introduction
	2 Literature Survey
	3 Proposed System
	4 Implementation
		4.1 Data Set
		4.2 Data Preprocessing
		4.3 Spectrogram Creation
	5 Algorithm
		5.1 Convolutional Neural Networks (CNN)
		5.2 Librosa
	6 Result
	7 Conclusion
	References
Web Application for Solar Data Monitoring Using IoT Technology
	1 Introduction
	2 Role of an Energy Management System in a Microgrid
	3 Methodology and Implementation for the Proposed Set-up
	4 Real-Time Set-up for the Proposed Project
	5 Results and Discussion
	6 Conclusion and Future Work
	References
Power Quality Enhancement in Distribution System Using Ultracapacitor Integrated Power Conditioner
	1 Introduction
	2 3-Ø Converter
		2.1 At Supply Point
		2.2 Controller Design
	3 Description of BDC
	4 UCAP
	5 Fuzzy Controller
	6 Simulation Results
	7 Conclusion
	References
CNN-Based Breast Cancer Detection
	1 Introduction
	2 Background Study
	3 Architecture
	4 Results
	5 Conclusion
	References
Voltage Stability Analysis for Distribution Network Using D-STATCOM
	1 Introduction
	2 Methodology
		2.1 Newton–Raphson Method
		2.2 G–S Method
		2.3 Principle of D-STATCOM Controller
	3 Simulation and Results
	4 Conclusions
	References
E-Dictionosauraus
	1 Introduction
	2 Literature Survey
	3 Proposed System
		3.1 Tesseract OCR
		3.2 Color Spaces
		3.3 Working
	4 Results and Discussion
		4.1 CASE (i): Example 1
		4.2 Example 2
		4.3 CASE (ii)
	5 Conclusion
	References
Effective Prediction Analysis for Cardiovascular Using Various Machine Learning Algorithms
	1 Introduction
	2 Literature Survey
	3 Working Procedure for Proposed System
	4 Implementation
		4.1 Dataset
		4.2 Data Preprocessing
		4.3 Correlation Matrix Between Attributes
		4.4 Box Plot to Check the Outliers
	5 Algorithm
		5.1 Support Vector Machine (SVM)
		5.2 Stochastic Gradient Descent
		5.3 Logistic regression
	6 Comparative Analysis
	7 Conclusion and Future Scope
	References
Multi-layered PCM Method for Detecting Occluded Object in Secluded Remote Sensing Image
	1 Introduction
	2 Partial Configuration Object Model
		2.1 First Layer
		2.2 Second Layer
	3 Partial Configuration Object Model for Object Detection Framework Learning
		3.1 Detection of Objects
		3.2 Occlusion Inference
		3.3 Datasets
	4 Datasets of Aeroplane Detection
		4.1 Experimental Setup
		4.2 Criteria for Evaluation
		4.3 Evaluation and Comparing Performance
		4.4 Scheme Influence Analysis
	5 Weights in Partial Configuration
	6 The Quantity of Partial Configurations Has an Impact
		6.1 Occlusion Inference Results
	7 Conclusion
	References
Author Index