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دانلود کتاب Second International Conference on Networks and Advances in Computational Technologies: NetACT 19 (Transactions on Computational Science and Computational Intelligence)

دانلود کتاب دومین کنفرانس بین المللی شبکه ها و پیشرفت در فناوری های محاسباتی: NetACT 19 (معاملات در علوم محاسباتی و هوش محاسباتی)

Second International Conference on Networks and Advances in Computational Technologies: NetACT 19 (Transactions on Computational Science and Computational Intelligence)

مشخصات کتاب

Second International Conference on Networks and Advances in Computational Technologies: NetACT 19 (Transactions on Computational Science and Computational Intelligence)

ویرایش:  
نویسندگان: , , ,   
سری:  
ISBN (شابک) : 3030494993, 9783030494995 
ناشر: Springer 
سال نشر: 2021 
تعداد صفحات: 318 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 8 مگابایت 

قیمت کتاب (تومان) : 74,000



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در صورت تبدیل فایل کتاب Second International Conference on Networks and Advances in Computational Technologies: NetACT 19 (Transactions on Computational Science and Computational Intelligence) 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 دومین کنفرانس بین المللی شبکه ها و پیشرفت در فناوری های محاسباتی: NetACT 19 (معاملات در علوم محاسباتی و هوش محاسباتی) 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.


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فهرست مطالب

Preface
Contents
Malware Attacks: A Survey on Mitigation Measures
	1 Introduction
	2 Mitigation Measures
		2.1 Static Approach (Signature Based)
		2.2 Dynamic Approach (Behavior Based)
		2.3 Honeypot Based Approach
		2.4 Hybrid Approach
	3 Comparison
	4 Conclusion
	References
A Survey on Online Review Spammer Group Detection
	1 Introduction
		1.1 Online Review Structure
		1.2 Review Spam
		1.3 Review Spam Detection
	2 Taxonomy of Review Spammer Group Detection Techniques
		2.1 Tight Spammer Group Detection Techniques
		2.2 Loose Spammer Group Detection Techniques
	3 Group Spam Features Used in Existing Approaches
	4 Performance Analysis and Summary
	5 Future Research Directions
	6 Conclusion
	References
Detection of Deepfake Images Created Using Generative Adversarial Networks: A Review
	1 Introduction
	2 Generative Adversarial Network
	3 GANs Used for Generating Deep Fake Images
		3.1 Deep Convolutional GAN (DCGAN)
		3.2 Progressive Growing GAN (PGGAN)
	4 Detection Methods
	5 Conclusion
	References
A Framework for Test Coverage of Safety and Mission CriticalSoftware
	1 Introduction
	2 Background
	3 Flight Software Coverage Assessment
		3.1 Flight Profile Generation
		3.2 Initialization Data Configuration
		3.3 Flight Software Instrumentation
		3.4 Scheduled Flight Software Execution and Coverage Trace Generation
		3.5 Parsing Coverage Data for Derivation of Coverage Statistics
	4 Validation
	5 Results
	6 Conclusion
	References
Internet Censorship Based on Bayes Learning Model
	1 Introduction
	2 Internet Censorship
	3 New Censorware Proposed
		3.1 Implementation
			Implementation Modules
		3.2 Results
	4 Conclusion
	References
Multiclass Sentiment Analysis in Text and Emoticons of Twitter Data: A Review
	1 Introduction
		1.1 Sentiment Analysis
	2 Preliminary Review
		2.1 Classification Algorithms
		2.2 Features
		2.3 Framework
		2.4 Emoticons
	3 Outcome of Survey
	4 Summary and Conclusions
	References
A Survey on DDoS Prevention, Detection, and Traceback in Cloud
	1 Introduction
	2 DDoS Classification
		2.1 Bandwidth Depletion Attack
		2.2 Resource Depletion Attack
	3 Major DDoS Attacks in Past
		3.1 DDoS Prevention Techniques
	4 DDoS Detection Techniques
	5 DDoS Traceback Techniques
		5.1 Link Testing Traceback
		5.2 Messaging
		5.3 Logging
		5.4 Packet Marking Techniques
		5.5 Probabilistic Packet Marking (PPM)
		5.6 Deterministic Packet Marking (DPM)
		5.7 Flexible Deterministic Packet Marking (FDPM)
		5.8 Hybrid Schemes
		5.9 Entropy Variation Schemes 7:2
	6 Conclusion
	References
Network Approach for Inventor Collaboration RecommendationSystem
	1 Introduction
	2 Networks and Concepts
		2.1 Affiliation Networks
		2.2 Collaboration Networks
		2.3 Inventor–Inventor Derived (Indirect) Network
	3 Methodology
	4 Analysis, Results, and Discussions
		4.1 Wireless Power Transmission
		4.2 Inventor Recommendations and Implications
	5 Conclusion and Possible Future Works
	References
Architecture of a Semantic WordCloud Visualization
	1 Introduction
	2 Related Work
	3 Semantic WordCloud Architecture
		3.1 NLP Preprocessing
		3.2 Semantic Similarity Evaluation
		3.3 Words Clustering
		3.4 Word Graph Visualization
		3.5 WordCloud Layout Optimization
	4 Conclusion
	References
THIRD EYE: A System to Help the Visually Impaired Students in Academics
	1 Introduction
	2 Related Works
	3 Proposed System
		3.1 Text-to-Speech
		3.2 Speech-to-Text
	4 Experimental Results
		4.1 Text-to-Speech
		4.2 Speech-to-Text
	5 Conclusion
	References
A Survey on Different Search Techniques Over Encrypted Datain Cloud
	1 Introduction
		1.1 Cloud Security Requirements
		1.2 Architecture of Search Over Cloud Data
	2 Types of Keyword Based Searching in Encrypted Cloud Data
	3 Searchable Encryption
		3.1 Keyword Based Approaches
			Ranked Single Keyword Search
			Multi-Keyword Search
			Ranked Multi-Keyword Search
			Fuzzy Keyword Search
			A Conjunctive Keyword Search
		3.2 Semantic Based Approaches
			MRSE System Supporting Synonym Query
			Semantic Search Using Stemming Algorithm
			Semantic Search Using Online Ontological Network
		3.3 Comparison of Different Searchable Encryption Techniques
	4 Performance Analysis
	5 Conclusion
	References
Modeling and Verification of Launch Vehicle Onboard Software Using SPIN Model Checker
	1 Introduction
	2 OBC Software
	3 Modeling in SPIN
		3.1 Scheduler Model
	4 Simulation and Verification
	5 Discussion and Conclusion
	References
Multichannel Probabilistic Framework for Prenatal Diagnosis of Fetal Arrhythmia Using ECG
	1 Introduction
	2 Methodology
		2.1 Preprocessing
		2.2 Signal Extraction
		2.3 Peak Detection
		2.4 Signal Classification
	3 Result and Discussion
	4 Conclusion
	References
High-Capacity Reversible Data Hiding in Encrypted Images by Second MSB Replacement
	1 Introduction
	2 Related Works
	3 Proposed Method of Reversible Data Hiding
		3.1 Overview
		3.2 Image Encryption Phase
		3.3 Embedding of Information
		3.4 Information Extraction and Perfect Image Reconstruction
		3.5 Statistical Analysis Parameter
	4 Experimental Results
	5 Conclusion
	References
Reversible Data Hiding and Coupled Chaotic Logistic Map Using Image Encryption
	1 Introduction
	2 Secure Lossless Data Hiding in Encrypted Domain
		2.1 Prediction Error Detection Using MED (Median Edge Detector)
		2.2 Image Encryption Using Coupled Chaotic Logistic Map
	3 Embedding of the Error Location Map and Secret Message
	4 Cover Image Recovery and Hidden Message Extraction
	5 Experimental Results and Comparisons
		5.1 Horizontal and Vertical Correlation Coefficients
		5.2 Shannon Entropy
		5.3 Number of Changing Pixel Rate (NPCR)
		5.4 Unified Averaged Changed Intensity (UACI)
		5.5 Peak-Signal-to-Noise Ratio (PSNR)
	6 Conclusion
	References
Close Examination Camera with Automatic Quality Assessment Capability for Telemedicine
	1 Introduction
	2 Operational Overview
		2.1 Platform
		2.2 CEC
	3 Quality Estimation
		3.1 Blur Distortion and Singular Value Curve
		3.2 Using Singular Value Curve to Create No-Reference Blur Index
	4 CEC in Teleconsultation
		4.1 Work Flow of the System
		4.2 Capture Module
		4.3 Indexing Module
		4.4 Selection Module
	5 Results
		5.1 Determination of Threshold c
		5.2 Test Result on Blur Datasets
		5.3 Running Time
	6 Conclusion
	References
Pre-Silicon Validation of 32-Bit Indigenous Processor for Space Applications
	1 Introduction
	2 Literature Survey
	3 Processor Overview
	4 Instruction Set Architecture
	5 Test Methodology
	6 Test Case Design Strategy
		6.1 Functionality Coverage
		6.2 Fault Coverage
	7 Validations Carried Out
		7.1 CPU Testing
		7.2 Error-Handling Capabilities
		7.3 Interrupts and Exceptions
		7.4 Memory and Peripherals
		7.5 Flight Software Evaluations
		7.6 Processor Timing Performance
	8 Observations and Corrections
		8.1 Floating-Point Instructions
			Observation Related to Accuracy for Trigonometric Instructions
			Observation in Arctangent Instructions
			Observation in 64-Bit Negation/Absolute Instructions
			Observation Related to Denormal Numbers
			Observation Related to NaN
			Observation for Truncation Instruction
		8.2 Non-Floating-Point Instructions
			Observation 1 and Correction
			Observation 2 and Correction
	9 Conclusion
	References
Towards Stock Recommendation and Portfolio Management Systems Using Network Analysis
	1 Introduction
	2 Stock Market Networks
	3 Methodology
		3.1 Degree and Weighted Degree
		3.2 Criteria for Identification of the Significance of Effect of Weights
		3.3 Lobby Index and Weighted Lobby Index
	4 Results, Analysis, and Discussion
		4.1 Significance of Effect of Weights
		4.2 Lobby and Weighted Lobby Analysis
	5 Conclusion and Future Work
	References
A Survey on VANETs Routing Protocols in Urban Scenarios
	1 Introduction
		1.1 VANETs Working
		1.2 Characteristics of VANETs
		1.3 Security Requirements of VANET
		1.4 Applications of VANETs
	2 Routing Protocol Classification
		2.1 Topology Based Routing
		2.2 Position Based Routing Protocol
		2.3 Cluster Based Routing Protocol
		2.4 Broadcast Routing Protocol
		2.5 Geocast Routing Protocol
	3 Types of Geographic Based Protocol
		3.1 Geographic Routing Protocol Based on Fuzzy Logic
	4 Performance Comparison and Discussions
		4.1 Simulation Setup
		4.2 Discussion
	5 Conclusion and Future Work
	References
Analysis of Hybrid Data Security Algorithms for Cloud
	1 Introduction
		1.1 Treat Model
	2 Cloud Data Security Challenges and Solutions
	3 Related Works
	4 Problem Statement
	5 Cryptographic Process
	6 Proposed Hybrid Data Security Algorithm
	7 Security Analysis of the Proposed Algorithm
	8 Results and Discussion
	9 Conclusion
	References
A Deep Learning Approach to Malayalam Parts of Speech Tagging
	1 Introduction
	2 Related Work
	3 System Architecture
		3.1 Character Sequence Representation Layer
		3.2 Word Sequence Representation Layer
		3.3 Inference Layer
	4 Experimental Setup
		4.1 Corpus Details
		4.2 Tool Used
		4.3 Hyper-Parameters
	5 Results and Discussion
	6 Conclusion and Future Work
	References
Rainbow Tables for Cryptanalysis of A5/1 Stream Cipher
	1 Introduction
		1.1 GSM Security Algorithms
	2 Related Work
	3 A5/1 Cipher
		3.1 Stepwise Procedure of A5/1
	4 Proposed Rainbow Table Methods
		4.1 Method-1: Rainbow Table Generation Algorithm for A5/1
		4.2 Method-2: Rainbow Table Generation Algorithm for A5/1
	5 Conclusion
	References
Shopping Using Augmented Reality
	1 Introduction
		1.1 Problem Definition
		1.2 Assumptions
	2 Literature Review
	3 Existing Solutions
	4 Proposed Work
		4.1 Data Collection and Sampling
		4.2 Proposed Work
		4.3 Advantages over Traditional System
	5 Conclusion
	References
Auto-Colorization of Images: Fuzzy c-Means and SLIC Approaches
	1 Introduction
	2 Related Work
	3 Proposed Method
		3.1 Approach 1
		3.2 Approach 2
	4 Results
		4.1 Approach 1
		4.2 Approach 2
	5 Conclusion and Future Works
	References
A Survey on Time-Series Data Prediction Models Using Recurrent Neural Networks
	1 Introduction
	2 Regular LSTM Models
		2.1 Hotel Reservation Forecasting
		2.2 Power Load Forecasting
		2.3 Financial Market Prediction
		2.4 Human Activity Duration Prediction
	3 GRU Models
		3.1 Stock Prediction
	4 Hybrid LSTM Models
		4.1 Solar Power Prediction
		4.2 Stock Price Prediction
		4.3 Wind Speed Prediction
	5 Analysis (Tables 4, 5, and 6)
	6 Conclusions
		6.1 Based on Forecasting Area
		6.2 Based on Performance Metric
	References
SMaRT: A Framework for Social Media Based Recommender for Tourism
	1 Introduction
	2 Background and Related Works
	3 Proposed Architecture
		3.1 Population of User Interest Profiles
		3.2 Optimization of Computational Requirements
		3.3 Identification of Similar Users Within the Cluster
		3.4 Prediction of User Behavior
		3.5 Generation of Recommendations
	4 Implementation Aspects
	5 Conclusion
	References
Spotting a Phishing URL: A Machine Learning Approach
	1 Introduction
	2 Related Work
	3 Proposed Scheme
	4 Comparison of Models
	5 Implementation
	6 Conclusion
	References
Index




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