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دانلود کتاب Advanced Research in Technologies, Information, Innovation and Sustainability (Communications in Computer and Information Science)

دانلود کتاب تحقیقات پیشرفته در فناوری‌ها، اطلاعات، نوآوری و پایداری (ارتباطات در علوم کامپیوتر و اطلاعات)

Advanced Research in Technologies, Information, Innovation and Sustainability (Communications in Computer and Information Science)

مشخصات کتاب

Advanced Research in Technologies, Information, Innovation and Sustainability (Communications in Computer and Information Science)

ویرایش: 1st ed. 2022 
نویسندگان: , ,   
سری:  
ISBN (شابک) : 3031203186, 9783031203183 
ناشر: Springer 
سال نشر: 2022 
تعداد صفحات: 596 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 55 مگابایت 

قیمت کتاب (تومان) : 83,000



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توجه داشته باشید کتاب تحقیقات پیشرفته در فناوری‌ها، اطلاعات، نوآوری و پایداری (ارتباطات در علوم کامپیوتر و اطلاعات) 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
Organization
Contents – Part I
Contents – Part II
Computing Solutions
Self-training of Manufacturing Operators Using Finger-Tracking Wearable Technologies
	1 Introduction
	2 Background
	3 Development
		3.1 Architecture
		3.2 Workflow
		3.3 Configuration
		3.4 Recording Operation from Senior
		3.5 Visualizing Operation
		3.6 Self-assessment by Novice
		3.7 Polyvalence Matrix
	4 Results
		4.1 Evaluation
		4.2 Impact
	5 Conclusions
	References
GraphQL or REST for Mobile Applications?
	1 Introduction
	2 Theoretical Foundation
	3 Experimental Setting
		3.1 Goal Definition
		3.2 Factors and Treatments
		3.3 Variables
		3.4 Hypothesis
		3.5 Design
		3.6 Use Cases
		3.7 Experimental Tasks
		3.8 Instrumentation
	4 Experiment Execution
		4.1 Sample
		4.2 Preparation
		4.3 Data Collection
	5 Results
		5.1 Average Response Time
		5.2 Transaction Processing Capacity
	6 Threats to Validity
	7 Discussion and Related Work
	8 Conclusions and Future Work
		8.1 Conclusions
		8.2 Future Work
	References
Projections and Predictive Analysis of Tenebrio Molitor Production Using Simulation Technique
	1 Introduction
	2 Methodology
	3 Problem Statement and Study Planning
	4 Data Collection
	5 Formulation of the Mathematical Model
	6 Construction and Verification of the Simulation Model
	7 Model Test Runs and Validation
	8 Design and Execution of Simulation Experiments
	9 Analysis of Results
	10 Conclusion
	References
Automatic Recognition System for Traffic Signs in Ecuador Based on Faster R-CNN with ZFNet
	1 Introduction
		1.1 Gaps and Contributions of the Paper
		1.2 Organization of the Paper
	2 State of the Art
	3 System Description
		3.1 Faster R-CNN Architecture Based on ZFNet
	4 Experimental Results
		4.1 Ecuador Traffic-Sign Database
		4.2 Evaluation Metrics
		4.3 Model Training
	5 Results Analysis
		5.1 Time Processing and Inference Time
		5.2 Perception and Processing System
	6 Conclusions and Future Work
	References
VGG11 Parkinson\'s Disease Detection Based on Voice Attributes
	1 First Section
	2 Related Works
	3 Theoretical Foundation
		3.1 Data Oversampling
		3.2 Feature Scaling
		3.3 Convolutional Neural Network
	4 Methodology
		4.1 Dataset
		4.2 Oversampling
		4.3 Data Scaling
		4.4 Image Generation
		4.5 CNN
	5 Results
	6 Conclusion
	References
RELAPP: A New Portable Electronic Rheometer for the Analysis of Viscoelastic Materials Based on Artificial Intelligence
	1 Introduction
		1.1 Testing Viscoelastic Materials
		1.2 Rheology of Viscoelastic Materials
		1.3 Objectives and Challenges
	2 Material and Methods
		2.1 Electromechanical Device RELAPP
		2.2 Experimental Data
		2.3 Data Models
	3 Results and Discussion
		3.1 RELAPP Validation
		3.2 Predictive Regression Models and Accuracy Validation
	4 Conclusions
	References
How to Assess Business Technologies and Systems - A Global Approach with a Case Study
	1 Introduction
	2 Background
		2.1 Technology Assessment
		2.2 Technology Acceptance Model
		2.3 ioAttend
	3 Material and Methods
	4 Global Assessment Model
	5 Case Study
		5.1 Univariate Statistical Analysis
	6 Discussion of Results
	7 Conclusions
	References
Parametric Graph Project - Using LEGO Gears for Drawing Curves
	1 Introduction
	2 Parametric Curves
	3 The Parametric Graph Project
		3.1 Phase 1 - Drawing Roulettes
		3.2 Phase 2 - Desmos Graphic Calculator
		3.3 Phase 3 - Testing
	4 Conclusion
	References
A Matching Algorithm to Assess Web Interfaces
	1 Introduction
	2 State of the Art
	3 Web Interface Matching Algorithm
		3.1 Element Selection
		3.2 Attribute Refinement
		3.3 Element Matching
	4 Validation of the Matching Algorithm
		4.1 Web Interfaces
		4.2 Web Interface Assessment
		4.3 Statistical Analysis
	5 Web Interface Assessment
		5.1 Functional Assessment
		5.2 Feedback Manager
	6 Conclusion
	References
Parallel Spectral Clustering with FEAST Library
	1 Introduction
	2 Spectral Clustering
	3 FEAST Library
	4 Spectral Clustering with FEAST
		4.1 A First Approach Considering the Dense Affinity Matrix
		4.2 A Second Approach with the Sparsification of the Affinity Matrix
	5 Strategies of Parallelization
		5.1 Domain Decomposition Principle
		5.2 A Second Level of Parallelism
	6 Numerical Results: Proof of Concept
		6.1 Clustering Benchmark
		6.2 Tests on Larger Data Sets
	7 Conclusion
	References
A Control Problem with Passive Particles Driven by Point Vortices on the Sphere
	1 Introduction
	2 Point Vortices on a Sphere
	3 The Control Problem
	4 Numerical Solution of the Control Problem
		4.1 A Particle Advected by a Single Vortex
		4.2 A Particle Advected by Two Vortices
		4.3 A Particle Advected by Three Vortices
	5 Conclusion
	References
The Dangers of Gamification
	1 Introduction
	2 Gamification Design Frameworks
	3 Dangers in the Use of Gamification
	4 Conclusions
	References
Mobile Applications in Tourism: A Tale of Two Perspectives
	1 Introduction
	2 Background
	3 Methodology
	4 Findings and Discussion
	5 Conclusion, Limitations and Future Research
	References
Accessibility Study in Hotels in the City of Quito
	1 Introduction
	2 Accessibility in Tourism
		2.1 Accessible Tourism
		2.2 Accessibility in Hotel Sector
		2.3 Ecuadorian Regulatory Framework on Accessibility
	3 Methodology
	4 Results
	5 Conclusions
	References
A Comprehensive Study on Remote Laboratories Based on Pneumatic and Electro-Pneumatic Systems
	1 Introduction
	2 Pneumatic
		2.1 Components of a Pneumatic Systems
		2.2 Mathematical Model of a Pneumatic Systems
		2.3 Pneumatics in Industry 4.0
	3 Remote Laboratory for Pneumatic Systems
		3.1 System Architecture
		3.2 User Interface
	4 Results
	5 Conclusions
	References
Augmented Reality in Clothing Consumer Customization in COVID-19 Pandemic: A Preliminary Study
	1 Introduction
	2 Materials Methods
		2.1 Sample
		2.2 Participants
		2.3 Requirement Analysis
		2.4 Application Design
	3 Experimental Results
		3.1 Interviews
		3.2 Observation
		3.3 Polls
		3.4 Experimental Tests.
		3.5 Usability Test
	4 Discussion and Conclusions
	References
Identification of Mango Fruit Maturity Using Robust Industrial Devices and Open-Source Devices Applying Artificial Vision
	1 Introduction
	2 Proposed System
		2.1 Hardware Selection
		2.2 Software Selection
		2.3 Communication System
	3 Materials and Methods
	4 Results
	5 Conclusion
	References
FHSS Classification System in the Spectrum Using SDR Generators for Signal Inhibitors
	1 Introduction
		1.1 Purpose of Technical Research
		1.2 Development of the Proposed System
		1.3 Transceiver Device
	2 Materials
	3 Methodology
		3.1 Scope with the Investigation
	4 Results
	5 Conclusions
	References
Front-End Framework to Improve HCI, Evaluated Using an Eye-Tracking
	1 Introduction
	2 Background
		2.1 HCI
		2.2 Framework
		2.3 Bootstrap
		2.4 Cognitive Cities
		2.5 Eye-Tracking
		2.6 Metrics
		2.7 Area of Interest
	3 Methodology
		3.1 Methodology of the Front-End Framework UTM-Boostrap Development
	4 Results and Discussion
		4.1 Eye-Tracking Tests
		4.2 Areas of Interest of the Interfaces Captures for PC Formats
		4.3 Analysis Results Based on Selected Metrics
		4.4 Heat Maps and PC Visual Walkthroughs
		4.5 Discussion of Eye-Tracking Tests for PC Formats
	5 Conclusions
	References
Advanced Exploratory Data Analysis for Moroccan Shopping Places in TripAdvisor
	1 Introduction
	2 Methodology
		2.1 Data Collection
		2.2 Data Preparation
	3 Results
		3.1 Shopping Places
		3.2 Sentiment Analysis
		3.3 Topic Discovery
	4 Conclusion
	References
Content Richness, Perceived Price, and Perceived Ease of Use in Relation to the Satisfaction Level and Brand Equity in Streaming Platforms
	1 Introduction
	2 Literature Review and Hypothesis
	3 Methodology
	4 Results Evaluation
	5 Conclusions
	References
Data Intelligence
Augmented Virtual Reality in Data Visualization
	1 Introduction
	2 Background
		2.1 Big Data
		2.2 Data Science
		2.3 Visual Analytics
		2.4 Augmented, Virtual and Mixed Reality
		2.5 Augmented Virtual Reality Challenges
	3 Material and Methods
	4 Case Study
	5 Augmented Reality Module
	6 Evaluation
	7 Conclusion
	References
Big Data Analytics to Measure the Performance of Higher Education Students with Online Classes
	1 Introduction
	2 Background
		2.1 Big Data
		2.2 Data Warehouse and OLAP
	3 Materials and Methods
		3.1 TechTeach
		3.2 Kimball Lifecycle
		3.3 Tools
	4 Case Study
		4.1 Context
		4.2 Software Architecture
		4.3 Multidimensional Model
		4.4 Data Preparation
		4.5 OLAP Layer
		4.6 Numbers
	5 Discussion
	6 Conclusions
	References
COVID-19 Fake News Detection Using Joint Doc2Vec and Text Features with PCA
	1 Introduction
	2 Previous Work
	3 Materials and Methods
		3.1 Dataset Description
		3.2 Data Processing
		3.3 Word2Vec
		3.4 Doc2Vec
		3.5 Principal Component Analysis
		3.6 Machine Learning Training and Testing
	4 Results and Discussion
	5 Conclusion
	References
Eye Tracking and Visual Attention in a Retail Context: Can Point-of-Sale Stickers Guide Customers?
	1 Introduction
	2 Related Work
	3 Background and Case Description
		3.1 Choice of Case – Wheat Flour
		3.2 Study Context
		3.3 Floor and Graphical Symbols in Retail Spaces
	4 Method
		4.1 Data Collection
		4.2 Participants
		4.3 Data Analysis
	5 Findings
		5.1 Attention to the Sticker on the Floor
		5.2 Post-test Interviews
		5.3 Navigation and Visual Attention in the Store
	6 Discussion
	7 Conclusion
	References
Error Classification Using Automatic Measures Based on n-grams and Edit Distance
	1 Introduction
	2 Automatic MT Metrics Based on Reference Proximity
	3 Experiment
		3.1 Assumption
		3.2 Dataset
		3.3 Methods
	4 Results
	5 Discussion
	6 Conclusions
	References
Understanding and Predicting Process Performance Variations of a Balanced Manufacturing Line at Bosch
	1 Introduction and Previous Work
	2 Methodology and Mathematical Model
	3 Data Characterization and Correlation
	4 Main Results
		4.1 Benchmark of Performance Variation Between Consecutive Work Sessions
		4.2 Determination and Analysis of Variables\' Relevance to Explain Workers\' Performance Variation
		4.3 Prediction of the Performance Variation Benchmark
	5 Conclusion and Future Work
	References
A Comparative Analysis on the Summarization of Legal Texts Using Transformer Models
	1 Introduction
	2 Background
		2.1 Abstractive Summarization Models
		2.2 Transformer Architecture
		2.3 Evaluation Metric
		2.4 Legal Datasets
	3 Contribution
		3.1 Benchmark of Legal Transformer Summarization Models
	4 Target Approaches of the Study
	5 Experiments
		5.1 Experimental Protocol
		5.2 Results
		5.3 Discussion
	6 Conclusion
	References
Determination of the Factors Influencing Proper Face Recognition in Faces Protected by Face Masks, an Analysis of Their Algorithms and the Factors Affecting Recognition Success
	1 Introduction
	2 Facial Recognition Techniques and How They Work
		2.1 Definition
		2.2 Analysis of Facial Recognition Techniques
		2.3 Eigenfaces
		2.4 Deep Learning
	3 Materials and Methods
	4 Discussion and Results
	5 Conclusion
	References
Evaluation Metrics in Explainable Artificial Intelligence (XAI)
	1 Introduction
	2 XAI Classifications
	3 Discussion and Related Work
	4 Implementations
	5 Conclusions and Future Improvements
	References
Real-Time Condition-Based Maintenance of Friction Welding Tools by Generalized Fault Trees
	1 Introduction
	2 Friction Welding Use Case
	3 GFT Approach
		3.1 Definition of Basic Events (BEs)
		3.2 Calculation of the TE and BEs Distributions
		3.3 Training a GFT
		3.4 CBM with a GFT
	4 Results
	5 Conclusions
	References
Minimizing False-Rejection Rates in Gas Leak Testing Using an Ensemble Multiclass Classifier for Unbalanced Data
	1 Introduction
	2 Industrial Data Pipeline
		2.1 Testing Procedure
		2.2 Integration with Smart Manufacturing Platform
		2.3 Data Preparation
	3 Proposed Solution
		3.1 Feature Extraction
		3.2 Ensemble Algorithm for Unbalanced Classification
	4 Results and Discussion
		4.1 Performance Metrics
		4.2 Implementation of Results
	5 Conclusions
	References
Pattern Mining and Classification Techniques for Agriculture and Crop Simulation
	1 Introduction
	2 Related Works
	3 Agriculture and Crop Simulation
		3.1 Preliminary Concepts
		3.2 Method
	4 Experiments
		4.1 Experimental Protocol
		4.2 Results
		4.3 Discussion
	5 Conclusions
	References
Peruvian Sign Language Recognition Using Recurrent Neural Networks
	1 Introduction
	2 Related Work
	3 Sign Language Recognition with RNN
		3.1 Preliminary Concepts
		3.2 Method
	4 Experiments
		4.1 Dataset
		4.2 Preprocessing
		4.3 Classification Model
	5 Conclusions
	References
Opinion Clustering About Mobility Decisions
	1 Introduction
	2 Background
		2.1 Parking and Public Transport
		2.2 Clustering
		2.3 Related Works
	3 Material and Methods
		3.1 Crisp-DM
		3.2 Tools
	4 Study
		4.1 Business Understanding, Data Understanding and Preparation
		4.2 Modelling and Evaluation
	5 Results
	6 Discussion
	7 Conclusion
	References
An Exploratory Study on Hindcasting with Analogue Ensembles of Principal Components
	1 Introduction
	2 Meteorological Dataset
	3 Data Correlation
	4 Principal Components Analysis of the Dataset
	5 AnEn Method
	6 Hindcasting with AnEn Method on PCs
	7 Conclusion
	References
Classification of Food Types in a Box with Gas Sensors Using a Machine Learning Method. Case Study of Intelligent Electronic Nose
	1 Introduction
	2 Related Works
		2.1 Gas Sensing Technologies
		2.2 Applicactions Based on Gas Sensing
	3 Materials and Methods
		3.1 Gas Sensor Selection to the E-Nose
		3.2 Architecture of the Intelligent E-Nose
		3.3 Features and Classification with Machine Learning Methods from Gas Sensor Streams
	4 Case Study to Classify 4 Types of Food
	5 Conclusions
	References
A Micro-interaction Tool for Online Text Analysis
	1 Introduction
	2 Conceptual Design and System Architecture
		2.1 System Use Cases
		2.2 Activity Diagram
		2.3 Database
		2.4 Systems Architecture
		2.5 Used Technologies
	3 Implementation and Results
		3.1 Browser Extension: A Tool for Fact-Checking and Reporting
		3.2 Web Platform for Content Producers
	4 Conclusions
	References
Use of Classification Techniques for the Analysis of Data Related to COVID-19 in México
	1 Introduction
	2 Objectives
	3 Justification
	4 State of the Art
		4.1 K-means
		4.2  C& R Tree
		4.3 TwoStep Cluster
	5 Proposition
	6 Methodological Framework
	7 Results
	8 Conclusions
	References
Artificial Neural Networks Applied to Natural Language Processing in Academic Texts
	1 Introduction
		1.1 Problem Statement
	2 State of the Art
		2.1 Background
		2.2 Tools for the Implementation of NLP
	3 Methods for Extracting Information
		3.1 Market Positioning
	4 Research Methodology
	5 Conclusions and Future Work
	References
Relationship of the Socioeconomic Conditions with the Emotional Well-Being of the Students of the Tecnológico Nacional de México Campus Tijuana: An Analysis Using Data Mining
	1 Introduction
	2 State of Art
	3 Methodology
		3.1 Data Recollection
		3.2 The Steps that Any Data Mining Process Includes
		3.3 Decision Trees
	4 Results
	5 Conclusions
	References
Classification of Defects in Injected Parts Through: Moments of Image and Multilayer Perceptron
	1 Introduction
	2 Image Processing
		2.1 Noise in Images
		2.2 Addition of Images
		2.3 Image Segmentation
	3 Image Moments
		3.1 Moments Invariants
	4 Artficial Neuronal Network
		4.1 Differential Evolution
	5 Methodology
		5.1 Data
		5.2 Image Preprocessing
		5.3 Turning Database Images into Characteristic Vectors
	6 MLP Training
		6.1 DE-MLP Training
	7 ANN Quality Control Prediction Assesment
	8 Conclusion
	References
Author Index




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