Proceedings of the Future Technologies Conference (FTC) 2019

Name: Proceedings of the Future Technologies Conference (FTC) 2019 | Volume 1
Brand: Springer
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Volume 1

Kohei Arai Rahul Bhatia Supriya Kapoor(Editor)

Springer (Publisher)

1st Edition

Published on 12. October 2019

XIII, 993 pages

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978-3-030-32520-6 (ISBN)

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Content

Intro
Editor's Preface
Contents
VEDAR: Accountable Behavioural Change Detection
1 Introduction
2 Related Work
3 VEDAR for Real Time Accountable Behavioral Change Detection
3.1 Layer 1 - Data Comprehension
3.2 Layer 2 - Context Aware Regularization
3.3 Layer 3 - Memorization
3.4 Layer 4 - Likelihood Estimation
3.5 Layer 5 - Pragmatic Analysis
3.6 Layer 6 - Accountability
4 Results
5 Comparison
6 Conclusion
References
AI Embedded Transparent Health and Medicine System
Abstract
1 Representation of Health
1.1 Ancient Law of Health
1.2 Medicine Evolution
1.3 Physical Expression
1.4 Medical Network
2 Transparent Health and Medicine System
2.1 Multiple Variables
2.2 Total Resolution Network
2.3 Accurate Orientation and Precise Treatment
3 Quantization of Artificial Intelligence
3.1 Statistics of Health and Medical Data
3.2 Intelligent Medical and Etiological Analysis
3.3 Intelligent Case Diagnose and Treatment
4 Management and Conclusion
4.1 System to Be Transparent
4.2 AI Magic
References
Image Segmentation Based on Cumulative Residual Entropy
Abstract
1 Introduction
2 Cumulative Residual Entropy Segmentation
2.1 Algorithm
3 Experimental Results
3.1 Experiments on NDT Images
3.2 Experiments on Laser Cladding Images
4 Conclusions
References
Knowledge-Based Adaptative Hypermedia with HAries
Abstract
1 Introduction
1.1 Adaptative Hypermedia HAries
2 Hybrid Knowledge Representation Language HAries
3 Hybrid Knowledge Representation Language HAries
3.1 Adaptative Hypermedia
3.2 Element of Hypermedia (EHi)
3.3 Construction of Hypermedia Pages
3.4 Group of Actions (GAi)
3.5 Hypermedia Nodes (HNi)
3.6 Condition of Sensibility
3.7 Activation of Hypermedia Nodes
3.8 Hypermedia Execution
3.9 Navigation Control
3.10 State Variable of Hypermedia (Vj)
4 General Conception of Adaptative Hypermedia HAries
5 Conclusion
References
Group Sales Forecasting, Polls vs. Swarms
Abstract
1 Background
1.1 From Crowds to Swarms
1.2 Creating Human Swarms
2 Method
3 Results
4 Analysis
5 Conclusions
Acknowledgments
References
Machine Translation from Natural Language to Code Using Long-Short Term Memory
1 Introduction
2 Problem Description
2.1 Programming Language Diversity
2.2 Human Language Factor
2.3 NLP of Statements
3 Proposed Methodology
3.1 Statistical Machine Translation
4 Result Analysis
5 Conclusion and Future Works
References
ML Supported Predictions for SAT Solvers Performance
1 Introduction
1.1 Organization of This Paper and Contributions
1.2 Contributions of the Present Work
2 Solver Runtime Parameters: Description, Analysis and Illustration
3 ML Models with CMS-Runtime Parameters as Model Features
4 Conclusions and Future Work
References
The Application of Artificial Neural Networks to Facilitate the Architectural Design Process
Abstract
1 Introduction
2 The Experimental Methodology and Material
2.1 Artificial Neural Networks
2.2 Experimental Process and Material
3 The Experimental Results and Discussions
4 Conclusions
References
An Agent-Based Simulation of Corporate Gender Biases
Abstract
1 Introduction
2 Background
2.1 Gender Biases in the Workplace
2.2 Agent-Based Simulation
2.3 Simulating Corporate D&I
3 The Simulation
3.1 Core Elements of the Simulated Company
3.2 Simulating the Hiring Process
3.3 Simulating Promotions
3.4 Simulating Separations
3.5 Tracking Individual and Aggregate Results
4 Simulation Setup and Results
4.1 Parameter Settings
4.2 Experiment 1: The Impact of Gender Biases in Promotion
4.3 Experiment 2: Combining Promotion and Hiring Biases to Match Industry-Specific Imbalances
4.4 Simulation Accuracy
5 Discussion
References
Machine Learning Analysis of Mortgage Credit Risk
1 Introduction
2 Literature Review
2.1 Business Risks and Key Mortgage Elements
2.2 Current Market Utilization of Machine Learning
2.3 Market Risk Factors
3 Methodology
3.1 Exploratory Data
3.2 Data Input for ML Model
3.3 Machine Learning Techniques
4 Results
4.1 Data Processing - Preprocessor 1.5
4.2 Preprocessor for Machine Learning Model
4.3 Cart Model - Baseline Model Determination
4.4 Classification Model_Machine Learning
5 Project Approach
5.1 Front End
5.2 Programming Language
5.3 Machine Learning Framework and Libraries
5.4 Google Cloud Storage
5.5 Data Processing Framework and Libraries
5.6 Visualization
6 Recommendations
References
Efficient Bayesian Expert Models for Fever in Neutropenia and Fever in Neutropenia with Bacteremia
Abstract
1 Introduction
2 Design and Methods
2.1 Statistical Methods
3 Results and Discussions of Research
3.1 Results Received in FN Test
3.2 Results of FN Bacteraemia Test
4 Conclusions
References
Preventing Overfitting by Training Derivatives
1 Introduction
2 Background
3 Method
3.1 Direct Function Approximation
3.2 Solving Differential Equation
4 Results
4.1 Direct Function Approximation
4.2 Solving Differential Equation
4.3 Elimination of a Few Trivial Explanations
5 Conclusion
References
Machine Learning for the Identification and Classification of Key Phrases from Clinical Documents in Spanish
Abstract
1 Introduction
2 Related Work
3 Machine Learning Algorithms Description
4 Approach
4.1 Features for Key Phrases Classification
4.2 Algorithm for Key Phrase Extraction
4.3 Algorithm for Feature Extraction
4.4 Example
5 Results and Discussion
5.1 Corpus Description
5.2 Corpus Analysis
5.3 Metrics
5.4 Key Phrase Extraction
5.5 Key Phrase Classification Results
6 Conclusions
Acknowledgment
References
Automatic Grasping Using Tactile Sensing and Deep Calibration
1 Introduction and Related Work
2 Tactile Sensing
2.1 The Six-Axis Force/Torque Tactile Data
2.2 Force/Torque Tactile Data and Robot Joint Sensors
2.3 Deep Calibration: Robot Joint Sensors Calibration Using Deep Learning
3 Grasping Using Tactile Sensing
3.1 Feedback Control Command
3.2 Stability Analysis
4 Experimental Results
4.1 Settings
4.2 Grasping Paradigm Using Tactile Sensation
5 Conclusions
References
An Emotion-Based Search Engine
1 Introduction
2 Background
2.1 Text Based Emotion Detection
2.2 Video Based Emotion Detection
3 Use Case
3.1 Internet Search for Suicide
3.2 Syrian War
4 Software Architecture
4.1 Implementation Technology
4.2 Video Emotion Detection
4.3 Text Emotion Detection
5 Experimental Results
6 Discussion
7 Conclusion
References
Internet Memes: A Novel Approach to Distinguish Humans and Bots for Authentication
Abstract
1 Introduction
2 Literature Survey
3 Proposed Methodology
3.1 Classification of Internet Memes
3.2 Proposed System and Schematic Diagram
4 Proposed Evaluation Technique
4.1 Case Study 1
4.2 Case Study 2
5 Conclusion
6 Future Work
References
Estimating the Ground Temperature Around Energy Piles Using Artificial Neural Networks
Abstract
1 Introduction
2 Application of ANN for Modeling Ground Heat Exchanger
3 Methodology
4 Results and Discussions
5 Conclusion
References
Emerging Technology of Man's Life-Long Partnership with Artificial Intelligence
Abstract
1 Introduction
2 Double Helix of Consciousness
3 Axiomatic Method
4 Artificial Intelligence Technology
5 Conclusions
References
Making Food with the Mind: Integrating Brain-Computer Interface and 3D Food Fabrication
1 Introduction
1.1 Food and Digital Interfaces
1.2 Food Fabrication
2 Our Design
2.1 BCI and Emotion Recognition
2.2 3D Fabrication Platform and Food Creation
3 Use Cases
4 Conclusion and Our Vision for the Future
References
Neuroscience of Creativity in Human Computer Interaction
Abstract
1 Introduction
2 Creativity
3 Neuroscience of Creativity
3.1 Brain Networks and Lobes
3.2 Creativity Theories
3.3 Electroencephalograms (EEG)
3.4 Functional Magnetic Resonance Imaging (fMRI)
3.5 Functional Near-Infrared Spectroscopy (fNIRS)
4 Neuroscience of Creativity and Human Computer Interaction (HCI)
5 Computational Creativity
6 Discussion and Future Works
7 Concluding Remarks
References
Optimal Mapping Function for Predictions of the Subjective Quality Evaluation Using Artificial Intelligence
Abstract
1 Introduction
2 State of the Art
3 Methodology
3.1 Subjective Evaluation of Quality
3.2 Objective Evaluation of Quality
3.3 Spatial a Temporal Information
4 Measurement
4.1 Video Database
4.2 Classification of the Video Sequences
5 The Statistical Methods of Evaluation
6 Classifier Based on Artificial Intelligence
7 Subjective Quality Prediction
8 Model Verification
9 Conclusion
Acknowledgment
References
Negative Log Likelihood Ratio Loss for Deep Neural Network Classification
Abstract
1 Introduction
2 Loss Function for Classification
3 Negative Log Likelihood Ratio Loss Function
4 Experiments
5 Conclusion
References
When Inclusion Means Smart City: Urban Planning Against Poverty
Abstract
1 Poverty, Urban Development and Planning
2 Smart Cities: Which Concept for Which Reality?
3 Urban Planning and Smart Cities in Developing Countries: A Fruitful Approach?
3.1 Urban Practices: The Cases of Koudougou, Montes Claros and Nueve de Julio
3.2 Smart and Sustainable, What Criteria for Planning the Development of South Cities?
4 Conclusion: The Smart City and Urban Planning in the Global South: Bridging the Gaps
References
AntiOD: A Smart City Initiative to Fight the Opioid Crisis
Abstract
1 Introduction
2 Background
3 AntiOD
3.1 Smart City Features
4 Conclusion
References
Common Data Format in Visual Assembling Guidance Using Augmented Reality
Abstract
1 Introduction
2 Background
3 Concept
3.1 Available Regardless of Technology
3.2 AR Technology Independence
3.3 Asset Distribution
3.4 Scheme Creator
3.5 Prototype Concept
4 Current State
5 Future Development
References
Determining a Framework for the Generation and Evaluation of Ambient Intelligent Agent System Designs
Abstract
1 Introduction
2 Background and Related Work
3 Designing an AmI Agent System
3.1 Generation Framework
3.2 Evaluation Framework
4 Validation of Tools
4.1 Survey Results
5 Conclusion
Acknowledgments
References
Virtual Reality Rendered Video Precognition with Deep Learning for Crowd Management
1 Introduction
2 Overhead CCTV Head Model
2.1 Description and Use Case from a Large City Subway
2.2 Technical Challenges
2.3 Overcoming the Technical Challenges
3 Multiple 360-Degree CCTV 3D Mixed Reality Rendering in St Pancras International
3.1 Combine Multiple CCTV and Other Feeds Rendered in a VR (Virtual Reality) Scape
3.2 The Challenges of Building a Browser Based VR Model
4 Conclusion
References
Food, Energy and Water (FEW) Nexus Modeling Framework
1 Introduction
2 The Nexus
2.1 Energy-Food Nexus
2.2 Water-Energy Nexus
2.3 Food-Water Nexus
3 FEW Challenges
3.1 Towards a Circular Economy
3.2 Spatio-Temporal Variation in FEW Systems
4 Modeling Review
4.1 Leontief Input-Output Model
4.2 FEW IO Mathematical Framework
5 Data
6 Future Work
7 Conclusion
References
End-to-End Drive By-Wire PID Lateral Control of an Autonomous Vehicle
1 Introduction
2 Problem Statement
3 Drive by Wire
3.1 CAN Messages
3.2 Vehicle
3.3 Controller
3.4 System Configuration
4 Data Collection and Pre-processing
5 Convolutional Neural Network
5.1 Transfer Learning
5.2 Network Architecture
6 Experiments
6.1 Training Strategy
6.2 Testing
7 Conclusion
References
Cryptography in Quantum Computing
1 Introduction
2 Literature Review
3 Project Requirements
4 Methodology
4.1 Encryption Algorithm Experiment
4.2 Results
5 Conclusion
References
A Stealth Migration Approach to Moving Target Defense in Cloud Computing
Abstract
1 Introduction
2 Moving Target Defense
2.1 What is MTD?
2.2 Why is MTD Insecure?
2.3 Live Migration
3 Related Work
4 Threat Model
5 Proposed Solution
5.1 Secret Sharing
5.2 Stealth Migration Protocol
6 Experimental Results
7 Conclusion and Future Work
References
The First Quantum Co-processor Hybrid for Processing Quantum Point Cloud Multimodal Sensor Data
Abstract
1 Introduction
1.1 The Limitations of Classical Computing with Multimodal Sensor Data
1.2 What Are the Advantages of a Quantum Computer over a Classical Computer?
1.3 New AI and Robotics Capabilities from QPC Processing
1.4 Classical-Quantum Computer Hybrid
1.5 Classical Point Cloud Generation Experimental Setup
2 Theoretical Considerations of Classical and Quantum Point Clouds
2.1 What Is a Point Cloud?
2.2 Mathematical Representation of a Classical Point Cloud
2.3 Representing a Multimodal Sensor Network as a Quantum Point Cloud
2.4 Example of a QPC
2.5 Quantum Point Clouds (QPC) and Uncertainty in Multi-modal Sensor Data
2.6 Experimental System for Processing Quantum Point Clouds of Multi-modal Sensor Data
3 Experimental Set-Up for Processing Quantum Point Cloud Multimodal Sensor Data
3.1 System for Processing a QPC Derived from Multimodal Sensor Data
4 Example: Quantum Co-processor Hybrid for Processing Quantum Point Cloud Multimodal Sensor Data Applied to Cave Mapping
4.1 QPC Preparation: CPC Compression
4.2 Hybrid Quantum-Classical Technology
4.3 QPC Preparation and the Quantum Co-processor
4.4 QPC Numerical Solution
5 Summary and Conclusions
6 Further Work
References
Low Power High Performance Computing on Arm System-on-Chip in Astrophysics
1 Introduction
2 Related Works
3 N-body Astrophysical Codes
3.1 The Hy-Nbody Code
3.2 Profiling Hy-Nbody
4 A Single Board Computer for HPC: Firefly-RK3399
5 Considerations and Methodology
5.1 Floating Point Arithmetic Considerations
6 Computational Performances: CPUs and GPUs
7 Power Consumption Measurements
7.1 Experimental Setup
8 Energy Results
9 Conclusion and Future Developments
References
Quantum Computer Search Algorithms: Can We Outperform the Classical Search Algorithms?
1 Introduction
1.1 Classical Algorithms
1.2 Searching with Quantum Computing
1.3 Superposition and the Double Slit Experiment
1.4 Quantum Search Algorithms
2 Project Requirements
3 Literature Review
4 Conclusion
5 Future Work
References
Methodically Unified Procedures for Outlier Detection, Clustering and Classification
1 Introduction
2 Kernel Estimators Methodology
3 Detection of Atypical Elements
4 Clustering
5 Classification
6 Final Comments and Example of Application
References
A Trust Model for Cloud: Results from a Survey
1 Introduction
2 Background on Trust Models
2.1 Quantitative Trust Models
2.2 Probabilistic Models
3 A Trust Model for Cloud
3.1 Five Degrees of Recommendation
3.2 Cloud Spiral of Trust
4 Trust Model Validation
4.1 Industry Surveys and Academic Survey Research
4.2 Statistical Power Results
4.3 Survey Distribution
4.4 Selected Result Charts
5 Hypotheses for Cloud Trust Model
5.1 Hypothesis Test Plan
5.2 Hypothesis 1
5.3 Hypothesis 2
5.4 Hypothesis 3
5.5 Hypothesis 4
6 Discussion and Limitations
7 Future Work and Conclusion
References
Quantum Recommendation System for Image Feature Matching and Pattern Recognition
Abstract
1 Introduction
2 Problem Statement
3 Methodology of Interpreting a Classical to a Quantum Machine Learning Algorithm
4 Basis of Designing a Quantum Machine Learning System for Recommendation of Image Descriptors
5 Additional Complexity Analysis and Discussion
6 Conclusion
References
A Hybrid Approach in Future-Oriented Technology Assessment
Abstract
1 Introduction
1.1 Future-Oriented Technology Assessment Methods and Models
1.2 DEA and Rough Sets in Technology Analysis
2 A Hybrid Model of Technology Assessment
2.1 Model Formulation
2.2 The Hybrid Model in the Process of Technology Assessment
3 Empirical Application
3.1 Use of a Hybrid Model in Technology Assessment
4 Conclusion
Acknowledgment
References
Detecting Spam Tweets in Trending Topics Using Graph-Based Approach
1 Introduction
2 Related Work
3 Data
4 Methodology
4.1 Named Entity Extractor
4.2 Ontology Generator
4.3 Graph Parser
4.4 Graph-Based Anomaly Detection
5 Experimentation and Results
5.1 FIFA World Cup
5.2 NATO Summit
6 Evaluation
6.1 Baseline Approaches
6.2 Discussion
7 Conclusion and Future Work
References
Bottom-Up Strategy for Data Retrieval and Data Entry over Front-End Application Software
Abstract
1 Introduction
2 Assumptions
3 Top-Down Approach for Data Retrieval: Traditional Method
4 Proposed Method: Reverse Logistic for Data Retrieval
5 Drawing a Comparison Between Traditional Method Data Retrieval and Reverse Logistic and Its Justification
6 Conclusions
References
A Tickless AMP Distributed Core-Based Microkernel for Big Data
1 Introduction
2 Background
3 Related Work
4 Problem Characterization and Motivation
5 Proposed Kernel
5.1 Design Goals
5.2 Design Decisions
5.3 Proposed Kernel Architecture
5.4 Kernel Implementation
6 Experiments
6.1 Word Count
6.2 Quick Sort
6.3 TeraSort Benchmark
7 Analysis and Discussion
8 Conclusion and Future Work
References
K-means Principal Geodesic Analysis on Riemannian Manifolds
1 Introduction
2 K-means Principal Component Analysis
2.1 K-means on Euclidean Space
2.2 K-means-PCA Algorithm
3 K-means Principal Geodesic Analysis
3.1 Riemannian Geometry
3.2 K-means on Manifold
3.3 Principal Geodesic Analysis (PGA)
3.4 K-means-PGA Algorithm
3.5 Computation of Exp and Log Map Manifolds
4 Experiments
4.1 Sphere
4.2 Kendall's Shape
4.3 Grassmannian Manifold
5 Discussion
6 Conclusion
References
Evaluation of Missing Data Imputation Methods for an Enhanced Distributed PV Generation Prediction
1 Introduction
2 The System of Study
2.1 Exploratory Visualization and Analysis
2.2 Exploring the Mechanism of Missingness
3 Imputation Methods
3.1 Random Imputation
3.2 Mean and Median-Value Imputations
3.3 Multiple Imputation
3.4 K-Nearest Neighbors (kNN)
3.5 Random Forest
4 Discussion of Results
4.1 Performance Comparison Metrics
4.2 Analysis of Results
4.3 Estimating PV Generation
5 Conclusion and Future Work
References
Document Clustering by Relevant Terms: An Approach
1 Introduction
2 Related Works
3 Approach
3.1 Pre-processing Text
3.2 Clustering by Relevant Terms
4 Results
5 Conclusions and Future Work
References
Smart Consumption Study Using Data Analysis and IoT in Residential Level Refrigeration Machines
Abstract
1 Introduction
2 Theorical Aspects
3 Methodology
3.1 Correlated Works Comparison
4 Conclusion
References
Factors Affecting Consumer-to-Consumer Sales Volume in e-Commerce
Abstract
1 Introduction
2 Research Background
2.1 Sales on Taobao
2.2 Price on Taobao
2.3 Evaluation Matrices on Taobao
2.4 Factors Affecting Sales on Taobao
3 Research Hypotheses
4 Research Methodology
4.1 Data Sources
4.2 Data Collection
4.3 Sampling Strategy
4.4 Data Analysis Method
4.5 Multivariable Linear Regression Model
4.6 Moderating Effects
5 Findings
5.1 Descriptive Statistics
5.2 Multiple Linear Regression Results
6 Implications and Discussion
7 Conclusions
References
A Cutting-Edge Unified and Stable Rule Design Pattern
Abstract
1 Introduction
2 The Study
2.1 Problem
2.2 Discussion
2.3 Results
3 Related Pattern and Measurability
3.1 Related Pattern
3.2 Measurability
4 Conclusion
References
3D Distance Transformations with Feature Subtraction
Abstract
1 Introduction
2 Previous Research and Significance of Proposed Work on Feature Subtraction
3 Feature Subtraction
4 Results
5 Conclusion and Future Work
Acknowledgments
References
Space-Filling Curve: A Robust Data Mining Tool
1 Introduction
2 Standard Dimension Reduction Techniques
2.1 Classical PCA
3 Space-Filling Curves Applied to Dimension Reduction
3.1 Space-Filling Curve: An Overview
3.2 Dimension Reduction via New Space-Filling Curve: Proposition of Mapping Algorithm
3.3 Application to Dimension Reduction
4 Experiments with Classical and Space-Filling Curves Dimension Reduction Techniques
4.1 Experimental Conditions: Measure
4.2 Experimental Conditions
4.3 Results of the Several Experiences
5 Conclusion
References
A Local-Network Guided Linear Discriminant Analysis for Classifying Lung Cancer Subtypes using Individual Genome-Wide Methylation Profiles
1 Introduction
2 The Boston Lung Cancer Study Cohort
2.1 Data Processing
3 The mLDA Method and Modifications
4 BLCSC Data Analysis
5 Discussion
References
Multiple Global Community Detection in Signed Graphs
1 Introduction
2 Notation
3 Structural Balance
4 Methods
4.1 Frustration
4.2 Modularity
4.3 Choosing the Hyper-parameters
5 Approach
6 Results
7 Discussion
8 Concluding Remarks and Future Work
References
Simulation-Based Analysis of Equalization Algorithms on Active Balancing Battery Topologies for Electric Vehicles
1 Introduction
2 Cell, Model and Topology Selection
2.1 Cell Selection
2.2 Model Selection
2.3 Topology Selection
3 Formulation and Simulation of Results
3.1 Cell Testing and Modeling
3.2 Centralized and Distributed Topologies Simulation
4 Simulation Results and Discussion
5 Conclusion and Future Directions of Research
References
Deep Learning-Based Document Modeling for Personality Detection from Turkish Texts
Abstract
1 Introduction
2 Related Work
3 Methodology
4 Experimental Results
5 Conclusions and Future Work
References
Prediction-Based Reversible Watermarking for Safe Transfer of CT Scan Medical Images
Abstract
1 Introduction
2 Prediction-Based Reversible Watermarking
2.1 Embedding Procedure
2.2 Extraction and Restoration Procedure
2.3 Underflow and Overflow Problem
2.4 Generation of Watermarks
2.5 Segmentation of Medical Image
3 The Proposed Watermarking System
3.1 Watermark Embedding Phase
3.2 Watermark Extraction and Image Restoration Phase
4 Experimental Results and Discussions
5 Conclusions
Acknowledgment
References
Diagnosis of Celiac Disease and Environmental Enteropathy on Biopsy Images Using Color Balancing on Convolutional Neural Networks
1 Introduction and Related Works
2 Data Source
3 Pre-processing
3.1 Image Patching
3.2 Clustering
3.3 Color Balancing
4 Method
4.1 Convolutional Layer
4.2 Pooling Layer
4.3 Neuron Activation
4.4 Optimizor
4.5 Network Architecture
5 Empirical Results
5.1 Evaluation Setup
5.2 Experimental Setup
5.3 Experimental Results
6 Conclusion
References
Diagnosis of Obstructive Sleep Apnea Using Logistic Regression and Artificial Neural Networks Models
1 Introduction
1.1 OSA Diagnosis
2 Related Works
3 Logistic Regression
4 Artificial Neural Network
4.1 Why ANN?
4.2 ANN Architecture
4.3 Feedforward Neural Network
5 Feature Selection
6 Proposed Classification Methods
7 Clinical Characteristics and Demographics
8 Performance Measure
9 Experimental Results
9.1 Feature Selection Results
9.2 Logistic Regression Model
9.3 ANN Model
9.4 Discussion
10 Conclusion and Future Work
References
Building a Blockchain Application: A Show Case for Healthcare Providers and Insurance Companies
Abstract
1 Introduction
2 Blockchain Concepts
2.1 Components of Blockchain Platform
2.2 Blockchain Related Applications
3 Empirical Illustration of Blockchain Application Design
3.1 Methodology
3.2 Current Business Practice
3.3 Blockchain Application Design
3.4 Blockchain Data Structure
3.5 Blockchain Application Implementation
3.6 Evaluation and Testing
3.6.1 Code Testing
3.6.2 User Acceptance Testing (UAT)
4 Blockchain Application Implementation Challenges
5 Conclusion
References
Using Formal Languages to Elicit Requirements for Healthcare Blockchain Applications
Abstract
1 Introduction
2 Background
2.1 Blockchain Technology
2.2 Formally Specifying Blockchain Applications
2.3 The Descartes Specification Language
3 Requirements of Healthcare Blockchain Applications
3.1 MedRec
3.1.1 Participants
3.1.2 Functional Requirements
3.1.3 Non-functional Requirements
3.2 NeuRon
3.2.1 Participants
3.2.2 Functional Requirements
3.2.3 Non-functional Requirements
3.3 Nebula Genomics
3.3.1 Participants
3.3.2 Functional Requirements
3.3.3 Non-functional Requirements
4 Formally Specifying MedRec Using the Descartes Specification Language
5 Discussion of Research Findings, Conclusion, and Future Work
References
Bridging the User Barriers of Home Telecare
Abstract
1 Introduction
1.1 The Increase in the Aging Population
1.2 Assistive Technology Used for Home Telecare
2 Related Researches
3 Use of Home Telecare in Practice
3.1 Home Telecare Using the Television as the Platform for Care Services
3.2 Home Telecare Using the Tablet as the Platform for Care Services
4 The "Invisible Work" of Technology-Supported Elderly Care
5 Discussion
5.1 Familiar Integrated or Alien Technology
6 Conclusion
References
An Intelligent System for Detecting a Person Sitting Position to Prevent Lumbar Diseases
1 Introduction
2 Electronic System Design
3 Data Analysis
3.1 Data Acquisition
3.2 Data Analysis Scheme
4 Results
5 Conclusions and Future Works
References
In Search of a Decision-Making Framework for Involving Users Who Have Learning Disabilities or Sensory Impairments in the Process of Designing Future Technologies
Abstract
1 Introduction
2 Approaches to Including Users in the Research and Design of Technologies
2.1 Disability Sensitive Approaches to Technology Design
2.2 Frameworks for Choosing the Most Appropriate Design Approaches
3 Review Method
4 Overview of the Corpus of Papers
5 Design Approaches Commonly Employed with Users Who Have Learning Disability or Sensory Impairments
5.1 Justifications for the Choice of Design Approach
5.1.1 User-Centred Design
5.1.2 Participatory Design
5.1.3 Human-Centred Design
5.1.4 Hybrid Approaches
5.1.5 Approaches Other Than UCD, PD, HCD or Hybrid
5.2 Evaluations of Choice of Approach
5.2.1 User Related Evaluations
5.2.2 Design Process
5.2.3 Experience of the Process for the User
5.2.4 Researcher Skills, Needs or Difficulties
5.2.5 Product Related
5.2.6 Study Pragmatics
5.2.7 Stakeholder Needs or Values
6 Discussion
6.1 Factors that Might Influence the Choice of Design Approach
6.2 Factors that Designers May Need to Take into Account in Order to Effectively Employ a Particular Approach
7 Conclusion
Acknowledgment
References
Hybrid Cryptosystems for Protecting IoT Smart Devices with Comparative Analysis and Evaluation
Abstract
1 Introduction
2 Related Work
3 The Hybrid Cryptosystem Security Features and Services
4 Proposed Hybrid Cryptosystem
4.1 The XXTEA Block Cipher
4.2 The ECC
4.3 Scrypt
4.4 The Proposed Hybrid Cryptosystem Algorithm
5 Results and Discussions
5.1 The Hybrid Cryptosystem Based Tiny Family and RSA: Enc and Dec
5.2 The Hybrid Cryptosystem Based Tiny Family and ECC: Enc and Dec
5.3 The Throughput Performance Comparison and Evaluation
6 Conclusion
References
Securing Combined Fog-to-Cloud Systems: Challenges and Directions
Abstract
1 Introduction: Combining Fog and Cloud
2 Security Requirements for F2C-Like Systems
2.1 Security Process in F2C
2.2 Attacking a F2C System
2.3 Security Requirements in F2C
3 Open Challenges
3.1 Trust and Authentication
3.2 Access Control and Detection
3.3 Privacy and Sharing
3.4 End-to-End Security Solution
3.5 Mobility Support
4 Remarkable Current Efforts and Trends
5 Conclusion
Acknowledgments
References
Low Power Area Network Sensors for Smart Parking
1 Introduction
1.1 Related Work
1.2 Contribution and Outline
2 The Smart Parking System
2.1 Techpark Platform for Smart Parking System
2.2 Development of LPWAN Sensors to Detect Automobile Presence
2.3 Sensor Network Structure
3 Experiments
4 Results
5 Conclusions
References
Blockchain Technology Solutions for Supply Chains
Abstract
1 Introduction
2 Research Methodology
3 Overview of Articles
4 Findings
5 Discussion
6 Conclusion and Future Research Avenues
References
An Optimal Design of Contactless Power Transfer System Applied for Electric Vehicles Using Electromagnetic Resonant Coupling
Abstract
1 Introduction
2 System Structure
2.1 Systematic Layout
2.2 Analytical Design and Modeling
3 Electromagnetic Field and Numerical Representations
4 Results and Analyses
4.1 The H-Shape Core CPT System with a 30-mm Air Gap
4.2 The H-Shape Core CPT System with a 20-mm Air Gap
5 Limitations and Discussion
6 Conclusion
References
PROBE: Preparing for Roads in Advance of Barriers and Errors
1 Introduction
2 Background
3 Navigation Challenging Conditions
4 PROBE
4.1 Error Analyzer
4.2 Path Finder
4.3 Challenge Detector
4.4 Challenge Analyzer
4.5 Path Marker
5 Experimentation
5.1 Datasets
5.2 Error Analysis
5.3 PROBE Algorithms
6 Conclusions and Research Directions
References
Industrial Cloud Automation for Interconnected Factories
Abstract
1 Introduction
2 State of the Art of Communication Technologies
2.1 Standard Communication Technologies
2.2 Supervision Based on Cloud Computing
3 Proficloud Technology
4 Implementation of Industrial Cloud for Supervision of Water
4.1 System Design and Experimental Setup
4.2 Proficloud Network and Features
4.3 Automation and Supervision System
5 Evaluation
6 Conclusion
References
Multi-Layer Perceptron Artificial Neural Network Based IoT Botnet Traffic Classification
1 Introduction
2 Multi-Layer Perceptron Artifical Neural Networks
3 Related Work
4 Proposed Model's Specifications
4.1 Architecture
4.2 Data Pre-processing and Normalization
4.3 Optimization and Tuning
5 Dataset
6 Analysis and Results
7 Conclusion
References
Project BUMP: Developing Communication Tools for the Older Adult Population
Abstract
1 Introduction
2 Design Principle
2.1 Physical Health
2.2 Social Health
2.3 Mental Health
3 Bump
4 Conclusion
References
Author Index

System requirements

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Proceedings of the Future Technologies Conference (FTC) 2019

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System requirements