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دانلود کتاب Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (Algorithms for Intelligent Systems)

دانلود کتاب مجموعه مقالات کنفرانس بین المللی علوم محاسباتی و کاربردها: ICCSA 2019 (الگوریتم های سیستم های هوشمند)

Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (Algorithms for Intelligent Systems)

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Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (Algorithms for Intelligent Systems)

ویرایش:  
نویسندگان: , , , ,   
سری:  
ISBN (شابک) : 9811507899, 9789811507892 
ناشر: Springer 
سال نشر: 2020 
تعداد صفحات: 447 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 17 مگابایت 

قیمت کتاب (تومان) : 38,000



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در صورت تبدیل فایل کتاب Proceeding of International Conference on Computational Science and Applications: ICCSA 2019 (Algorithms for Intelligent Systems) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب مجموعه مقالات کنفرانس بین المللی علوم محاسباتی و کاربردها: ICCSA 2019 (الگوریتم های سیستم های هوشمند) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.


توضیحاتی درمورد کتاب به خارجی



فهرست مطالب

Organizing Committee
	Chief Patrons
	Patrons
	Organizing Chairs
	Organizing Co-chair
	International Advisory Committee
	TPC Chair
	TPC Co-chair
	Publication Chair
	Technical Review Committee
Preface
Contents
About the Editors
Knowledge and Data Discovery
1 Empathic Diary Based on Emotion Recognition Using Convolutional Neural Network
	1 Introduction
	2 Related Work
	3 System Overview
	4 Convolutional Neural Network
	5 System Screenshots
	6 Result
	7 Conclusion and Future Scope
	References
2 Detection of Ransomware Attack: A Review
	1 Introduction
	2 Overview of Different Techniques for Detection of Ransomware Attack
	3 Literature Review
	4 Findings and Discussion on Detection of Ransomware Attack
	5 Conclusion
	References
3 Room Service Robot
	1 Introduction
	2 Literature Survey
	3 Description
		3.1 Face Recognition System
		3.2 Servo-Based Locking System
		3.3 Robot Commanding System
		3.4 Travelling System
	4 Block Diagram and Working Principle
		4.1 Face Recognition System
		4.2 Servo-Based Locking System
		4.3 Robot Commanding System
		4.4 Travelling System
	5 Actual Robot Structure
	6 Conclusion
	References
4 Comparative Analysis for an Optimized Data-Driven System
	1 Introduction
	2 Literature Survey
	3 Comparative Analysis
		3.1 Database
		3.2 Web Frameworks
		3.3 Web API Services: REST and SOAP
		3.4 Networking Services: Volley and Retrofit
	4 Case Study
		4.1 MySQL Database
		4.2 Django Framework
		4.3 Rest API
		4.4 Google Volley
		4.5 Results
	5 Conclusion and Future Scope
	References
5 Fake Email and Spam Detection: User Feedback with Naives Bayesian Approach
	1 Introduction
	2 Literature Survey
	3 Methodology
		3.1 Introduction
		3.2 Probabilistic Model
	4 Database Collection/Preparation
	5 Result Discussion
	6 Future Scope
	7 Conclusions
	References
6 C-ASFT: Convolutional Neural Networks-Based Anti-spam Filtering Technique
	1 Introduction
	2 Related Work
	3 Proposed Model
		3.1 Text Data Preprocessing
		3.2 CNN Structure
	4 Experimental Results and Analysis
		4.1 Experimental Setup
		4.2 Results and Analysis
	5 Conclusions and Future Work
	References
7 Cognitive Control of Robotic-Rehabilitation Device Using Emotiv EEG Headset
	1 Introduction
	2 System Architecture
		2.1 Data Acquisition
		2.2 Data Recording and Analysis
		2.3 Electronics and Control Hardware
		2.4 Ankle-Foot Orthosis (AFO)
	3 Experimental Procedure
	4 Results and Discussion
	5 Conclusion
	References
8 Non-stationary Data Stream Analysis: State-of-the-Art Challenges and Solutions
	1 Introduction
	2 Concept Drift in Data Stream Classification
	3 Different Approaches to Handle Concept Drift
		3.1 Change Detection Mechanisms Using Statistical Analysis
		3.2 Threshold-Based Mechanisms
		3.3 Just-in-Time Classifiers
		3.4 Weight-Based Classifiers
		3.5 Decision Tree-Based Classifier
		3.6 Multi-classifier or Ensemble Approach
		3.7 Alternative Approaches
	4 Class Imbalance
	5 Concept Evolution or Novel Class Detection
	6 Conclusion
	References
9 Parallel Job Execution to Minimize Overall Execution Time and Individual Schedule Time Using Modified Credit-Based Firefly Algorithm
	1 Introduction
	2 Literature Survey
	3 Proposed System
		3.1 Credit-Based Approach
		3.2 Firefly Algorithm for Job Execution
	4 Performance Evaluation
	5 Conclusion and Future Scope
	References
10 A Novel Non-invasive Approach for Diagnosis of Medical Disorders Based on De Broglie’s Matter Waves and Water Memory
	1 Introduction
	2 Literature Survey
	3 Pilot-Wave Theory
	4 Proposed Methodology
	5 Experimental Setup
		5.1 Proposed System
		5.2 Observations/Findings
		5.3 Experimental Components
	6 Conclusion
	References
11 Tamper Detection in Cassandra and Redis Database—A Comparative Study
	1 Introduction
	2 Related Work
	3 Proposed Model
	4 Methodology
	5 Experiment and Result Analysis
		5.1 Tamper Detection in Redis Database and Time Required for Each Algorithm
		5.2 A Tamper Detection in Cassandra Database and Time Required for Each Algorithm
	6 Conclusion
	References
12 Tamper Detection in MongoDB and CouchDB Database
	1 Introduction
	2 Related Work
	3 Proposed Methodology
	4 Experiment and Result Analysis
	5 Conclusion
	References
13 Recommender System in eLearning: A Survey
	1 Introduction
	2 Literature Review
	3 Discussions
	4 Conclusion
	References
14 A Realistic Mathematical Approach for Academic Feedback Analysis System
	1 Introduction
	2 Literature Survey
	3 Research Gaps
	4 Implemented Solution
		4.1 Objective of the Solution
		4.2 Implemented System
		4.3 Multiple Linear Regression
		4.4 Implemented Algorithm
		4.5 Descriptive Feedback
	5 Experimental Results and Analysis
		5.1 Results of Feedback Values
		5.2 Results and Analysis of Multiple Linear Regression
	6 Conclusion and Future Scope
	References
15 Fake News Classification on Twitter Using Flume, N-Gram Analysis, and Decision Tree Machine Learning Technique
	1 Introduction
	2 Related Work
	3 Data Extraction Using FLUME
	4 N-Gram Analysis with Decision Tree Machine Learning Technique
		4.1 Introduction
		4.2 N-Grams
		4.3 Data Preprocessing
	5 Methodology
	6 Result Discussion
	7 Future Scope
	8 Conclusion
	References
16 Swarm Intelligence-Based Systems: A Review
	1 Introduction
	2 Comparison of Swarm Robots with Traditional Robots
	3 Features of Swarm Robots
	4 Architecture of Swarm Robots
	5 Application of Swarm Robotics
	6 Conclusion
	References
17 Internet of Things: A Survey on Distributed Attack Detection Using Deep Learning Approach
	1 Introduction
		1.1 Advantages of Deep Learning Model
		1.2 Motivation
	2 Literature Survey
	3 Research Needs
	4 Proposed Methodology for Attack Detection in IoT
		4.1 Unsupervised Learning Method (Deep Belief Network)
	5 Conclusion
	References
Image, Voice and Signal Processing
18 Precise Orbit and Clock Estimation of Navigational Satellite Using Extended Kalman Filter Applicable to IRNSS NavIC Receiver Data
	1 Introduction
	2 Extended Kalman Filter (EKF) Algorithm
	3 Methodology
	4 Results and Observations
	5 Conclusion and Future Scope
	References
19 Effects of Color on Visual Aesthetics Sense
	1 Introduction
		1.1 Psychology Behind Color Aesthetic Appreciation
		1.2 Color Wheel
		1.3 Color Schemes Used Commonly in Cinematography
		1.4 Color-Mood Analysis in Video
		1.5 Positive and Negative Psychological Properties of Colors
	2 Color Preferences
		2.1 Color Preference According to Gender
		2.2 Color Preference According to Age
		2.3 Color Preference According to Culture
	3 Results
		3.1 Color Preferences According to Age, Gender, Profession
	4 Conclusion
	References
20 Performance Evaluation of Video Segmentation Metrics
	1 Introduction
	2 Metrics for Shot Boundary Detection
		2.1 Likelihood Ratio (LHR)
		2.2 Chi-Square Test (CS)
		2.3 Pixel Difference (PD)
		2.4 Wavelet-Based Method (WDM)
	3 Datasets and Performance Measure
	4 Experimental Results
	5 Conclusion
	References
21 Suspicious Activity Detection Using Live Video Analysis
	1 Introduction
	2 Related Work
	3 Classification Models
		3.1 YOLOv3 (You Only Look Once)
		3.2 LBPH (Local Binary Pattern Histogram)
	4 Proposed System
		4.1 Algorithm Prerequisites
		4.2 Algorithm Steps
		4.3 Actual Working Using YOLOv3 and LBPH for Person Identification at Camera 1
	5 Experimental Results and Analysis
		5.1 Camera 1
		5.2 Camera 2
		5.3 Camera 3
	6 Conclusion and Future Scope
	References
22 A Review on Using Dental Images as a Screening Tool for Osteoporosis
	1 Introduction
	2 Osteoporosis and Dental Images
	3 Conclusion
	References
23 An Expert Diagnosis System for Parkinson’s Disease Using Bagging-Based Ensemble of Polynomial Kernel SVMs with Improved GA-SVM Features Selection
	1 Introduction
	2 Proposed Approach
		2.1 GA-SVM Feature Selection
		2.2 Polynomial Kernel SVMs Ensemble Using Bagging
	3 Experimentation and Results
		3.1 Dataset
		3.2 Experimentation
	4 Conclusion
	References
Communication and Networks
24 Case Study: Use of AWS Lambda for Building a Serverless Chat Application
	1 Introduction
	2 Literature Survey
	3 Amazon Web Services
		3.1 Simple Storage Service (S3)
		3.2 Lambda (λ)
		3.3 Identity Access Management (IAM)
		3.4 DynamoDB
		3.5 API Gateway
		3.6 Cognito
		3.7 CloudWatch and CloudFront
	4 Case Study: Serverless Chat Application
	5 Conclusion and Future Scope
	References
25 Detection and Classification of Diabetic Retinopathy Using AlexNet Architecture of Convolutional Neural Networks
	1 Introduction
	2 Literature Review
	3 Convolution Neural Networks Usage in the Model
	4 Proposed Algorithm
	5 Experiment and Result
	6 Conclusion
	7 Future Scope
	References
26 Contextual Recommendation and Summary of Enterprise Communication
	1 Introduction
	2 Previous Work
	3 Problem Statement
	4 Dataset
	5 Scraping and Threading
	6 Preprocessing
	7 Method/Technical Approach and Models
	8 Experiments
		8.1 Experiment 1
		8.2 Experiment 2
		8.3 Experiment 3
	9 Future Scope
	10 Conclusion
	References
27 Cybersecurity and Communication Performance Improvement of Industrial-IoT Network Toward Success of Machine Visioned IR 4.0 Technology
	1 Introduction
	2 Background and Context
	3 Performance Improvement of Cyber-Physical Communication Network
		3.1 Performance Improvement by Intelligent Cluster-Head Selection in Wireless Sensor Networks (WSN)
		3.2 Energy-Balanced Routing in Low-Power Sensor Networks for Operational Performance Improvement
		3.3 Performance Analysis of the Proposed System for Operational Performance Improvement
	4 Security Improvement of IIoT Applications
		4.1 System Modeling to Control Physical Systems in IIoT
		4.2 Securing Industrial-IoT Applications
	5 Cyber-Physical Communication Security and Performance Improvement Issues
		5.1 Performance Improvement Issues to Address
		5.2 Security Improvement Issues to Address
	6 Conclusions and Future Works
	References
28 Dynamic Load Balancing in Software-Defined Networks Using Machine Learning
	1 Introduction
	2 Related Work
	3 Proposed System
		3.1 Simulation
		3.2 Artificial Neural Network
	4 Methodology
		4.1 Network Simulation
		4.2 Data Collection and Preprocessing
		4.3 Training and Testing Neural Network Model
	5 Results
		5.1 Training Results of BPANN
		5.2 Comparing Latency Before and After Load Balancing
	6 Conclusion
	References
Design and Application of Intelligent Computing and Communication
29 Analysis and Comparison of Timbral Audio Descriptors with Traditional Audio Descriptors Used in Automatic Tabla Bol Identification of North Indian Classical Music
	1 Introduction
	2 Literature Survey
	3 Proposed System
	4 Experiments and Results
		4.1 Using MFCC
		4.2 Using LPCC
		4.3 Using MFCC and LPCC
		4.4 Using Timber and MFCC
		4.5 Using Timber Without MFCC
		4.6 Using Spectral Features
		4.7 Comparison of All Classifiers
		4.8 Comparison of All Audio Descriptors
	5 Conclusion
	References
30 Sentiment Analysis on Aadhaar for Twitter Data—A Hybrid Classification Approach
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Data Acquisition
		3.2 Data Pre-processing
		3.3 Feature Extraction and Engineering
		3.4 Hybrid Classifier
	4 Model Evaluation and Result Analysis
	5 Conclusion and Future Work
	References
31 Song Recommendation System Using Hybrid Approach
	1 Introduction
	2 Dataset, Preprocessing and Notations
	3 Algorithms
		3.1 Popularity-Based Model
		3.2 Content-Based Filtering
		3.3 Collaborative Filtering
		3.4 Singular Value Decomposition (SVD)
	4 Model
	5 Evaluation Metrics
	6 Results
	7 Conclusion
	8 Future Work
	References
32 Arrhythmia Detection Using ECG Signal: A Survey
	1 Introduction
	2 Literature Survey
	3 Dataset
		3.1 MIT-BIH (Massachusetts Institute of Technology-Beth Israel Hospital)
		3.2 CU (Creighton University)
		3.3 AHA (American Heart Association)
		3.4 European ST-T
		3.5 QT
	4 Pre-processing
	5 Feature Extraction
	6 Feature Selection
	7 Classification
		7.1 Support Vector Machines (SVM)
		7.2 Neural Network (NN)
		7.3 K-Nearest Neighbour
		7.4 Others
		7.5 Optimization Techniques
	8 Conclusion and Future Challenges
	References
33 Towards Designing the Best Model for Classification of Fish Species Using Deep Neural Networks
	1 Introduction
	2 Related Previous Work
		2.1 Previous Architecture
	3 Proposed Method
	4 Methodology
	5 Results
	6 Conclusion and Future Scope
	Reference
34 A Study on Attribute-Based Predictive Modelling for Personal Systems and Components—A Machine Learning and Deep Learning-Based Predictive Framework
	1 Introduction
		1.1 Current Forecasting Scenario
		1.2 Personal System Portfolio
	2 Solution
		2.1 Framework and Modelling Details
		2.2 Evidence the Solution Works
		2.3 Competitive Approaches
	3 Current Scenario
	4 Next Steps
	References
35 Text Categorization Using Sentiment Analysis
	1 Introduction
	2 Literature Survey
	3 Proposed System Approach
	4 Experimental Results
	5 Conclusion
	References
36 Automated Real-Time Email Classification System Based on Machine Learning
	1 Introduction
	2 Proposed Methodology
	3 Experiments and Results
		3.1 Analysis of the Performance of Different Classifiers
		3.2 Analysis of Feature Construction/Representation Techniques
		3.3 Analysis of Preprocessing Techniques
		3.4 Effect of Term Interaction and Dimension Reduction
	4 Conclusion
	References
37 Smart Detection of Parking Rates and Determining the Occupancy
	1 Introduction
	2 Parking Rate Factors
	3 Parking Rate Determination
	4 Future Occupancy Prediction
	5 Implementation
		5.1 Infrared/Pressure Sensors and Raspberry Pi
		5.2 Back-End System
		5.3 End-User Application
	6 Results
	7 Conclusion
	References
38 Deep Learning-Based Approach to Classify Praises or Complaints from Customer Reviews
	1 Introduction
	2 Related Work
	3 Proposed Approach
		3.1 Data Preprocessing
		3.2 Linguistic Feature-Based Sentence Filtering
		3.3 Hybrid Feature Selection
		3.4 Praise/Complaint Classifier Module
	4 Experiments
		4.1 Data Preprocessing
		4.2 Training and Testing
		4.3 Results
	5 Conclusions
	References
39 Psychological Behavioural Analysis of Defaulter Students
	1 Introduction
	2 Proposed Solution
		2.1 K-NN Classifier
		2.2 Decision Tree
		2.3 Random Forest Algorithm
	3 Working and Output
		3.1 K-NN Classifier
		3.2 Decision Tree
		3.3 Random Forest Classifier
	4 Observation
	5 Conclusion
	References
40 TNM Cancer Stage Detection from Unstructured Pathology Reports of Breast Cancer Patients
	1 Introduction
		1.1 Cancer Statistics in India
		1.2 TNM Staging
		1.3 Cancer Registry
	2 Related Work
	3 Proposed Work
		3.1 Data Preprocessing
		3.2 Data Standardization
		3.3 Information Extraction
		3.4 Dictionary Creation
		3.5 Stage Determination
	4 Results
		4.1 Experimental Setup
		4.2 Dataset
		4.3 Gold Standard
		4.4 Performance Analysis
	5 Conclusions and Future Work
	References
41 Restructuring of Object-Oriented Software System Using Clustering Techniques
	1 Introduction
	2 Literature Review
	3 Proposed Methodology
		3.1 Extracting Member Variables
		3.2 Extracting Member Functions
		3.3 Clustering Algorithm
		3.4 Expected Outcome
	4 Conclusion
	References
42 Analysis of System Logs for Pattern Detection and Anomaly Prediction
	1 Introduction
	2 Related Work
	3 System Architecture
		3.1 Log Parsing
		3.2 Pattern Detection and Anomaly Prediction
		3.3 Auto-remediation
	4 Proposed System
		4.1 Log Parsing
		4.2 Pattern Detection and Anomaly Prediction
		4.3 Auto-remediation
	5 Tools Used
		5.1 Logstash
		5.2 Elasticsearch
		5.3 TensorFlow–Keras
	6 Conclusion
	References
43 Phishing Detection: Malicious and Benign Websites Classification Using Machine Learning Techniques
	1 Introduction
	2 Related Work
	3 Methods and Dataset
	4 Results and Experiments
	5 Conclusion and Future Scope
	References
44 Automation of Paper Setting and Identification of Difficulty Level of Questions and Question Papers
	1 Introduction
	2 Literature Survey
	3 Proposed Methodology
	4 Result and Discussions
	5 Conclusion
	References
Author Index




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