Reliability and Statistical Computing: Modeling, Methods and Applications

Preface
Contents
Editor and Contributors
Fatigue Life Distribution Estimation
	1 Introduction
	2 Fatigue Life Data
	3 Data Fusion for Fatigue Life Analysis
	4 Flt Analysis for 2024-T4 Fatigue Life Data
	5 FLT Analysis for ASTM A969 Fatigue Life Data
	6 FLT Analysis for 9Cr-1Mo Fatigue Life Data
	7 Observations and Conclusions
	References
Reliability Improvement Analysis Using Fractional Failure
	1 Introduction
	2 Reliability Improvement with Fractional Failure Analysis
		2.1 Product Development Process and Reliability Challenges
	3 Fractional Failure Analysis (FFA) and ALT
	4 Reliability Improvement Study Using FFA
	5 Example
	6 Discussion
	References
Modelling Innovation Paths of European Firms Using Fuzzy Balanced Scorecard
	1 Introduction
	2 Theoretical Background
	3 Research Methodology
	4 Experimental Results
	5 Conclusion
	References
Innovation Environment in Europe—Efficiency Analysis Case Study
	1 Introduction
	2 Theoretical Background
	3 Data and Research Method
	4 Results
	5 Conclusions
	References
Application of Artificial Intelligence  in Modeling a Textile Finishing Process
	1 Introduction
		1.1 Color Fading Ozonation: A Textile Finishing Process
		1.2 Artificial Intelligent Techniques for Modeling Textile Process
		1.3 Modeling Color Fading Ozonation of Reactive-Dyed Cotton
	2 Experimental
		2.1 Material
		2.2 Apparatus
		2.3 Methods
	3 Algorithms of Intelligent Techniques and Structure for Modeling
		3.1 Extreme Learning Machine
		3.2 Support Vector Machine
		3.3 Random Forest
		3.4 Modeling Structure
	4 Results and Discussion
		4.1 Modeling Training
		4.2 Prediction Performance
	5 Conclusion and Prospective
	References
Developing Alert Level for Aircraft Components
	1 Introduction
	2 Hong Kong Government Approved Maintenance Activities
	3 Condition Monitored Maintenance Program
	4 Data Collection
	5 Alert Level Development
	6 Recalculation of Alert Level
	7 Corrective Actions
	8 Essential Qualities of the CMMP
	9 Assessment of CMMP Document
	10 Case Study
	11 Helicopter Air-Conditioning System
	12 Compressor Failures
	13 Alert Level Calculation
	14 Conclusion
	References
Computation in Network Reliability
	1 Introduction
	2 Preliminaries
		2.1 Modeling of Networks
		2.2 Evaluation of Network Reliability
	3 Network Representation
		3.1 The Proposed Approach
		3.2 Algorithm of Transformation from AM to LPS
		3.3 Illustrative Examples
	4 Searching for MPs
		4.1 The General Form of a Network Transforming to Its Directed One
		4.2 Algorithm for Searching MPs
		4.3 Illustrative Examples
	5 Searching for d-MPs
		5.1 Flow Enumerations
		5.2 Algorithm for Searching d-MPs
		5.3 Illustrative Examples
	6 Calculating the Union Probability for d-MPs
		6.1 Inclusion-Exclusion Principle
		6.2 Recursive Inclusion-Exclusion Principle
		6.3 Reduced Recursive Inclusion-Exclusion Principle
		6.4 Network Reliability Calculation
		6.5 Illustrative Examples
	7 Conclusion
	References
Integrating Sentiment Analysis in Recommender Systems
	1 Introduction
	2 Related Works
	3 The Proposed Model
		3.1 Word Embeddings
		3.2 Hybrid Deep Learning CNN-LSTM
		3.3 Sentiment Analysis by CNN-LSTM
		3.4 Recommender System
	4 Experiments
	5 Conclusion
	References
Crowdsourcing Platform for Collecting Cognitive Feedbacks from Users: A Case Study on Movie Recommender System
	1 Introduction
	2 Related Work on Crowdsourcing Platforms
	3 A Cognitive Approach to Recommendation
	4 Experiences on OurMovieSimilarity Platform
		4.1 Overview
		4.2 How Can OMS Interact with Users Intelligently
		4.3 Statistical Analysis of the Data (Cognitive Feedbacks)
	5 Concluding Remarks
	References
A DD-SHELL HF Model for Bus Accidents
	1 Introduction
	2 Human Factor Models
		2.1 SHELL Model
		2.2 Dirty Dozen Factors
	3 Road Traffic Casualties
	4 Literature Review on the Application of SHELL Model for Accident Analysis
		4.1 Investigation Experimental Design
		4.2 Discussion and Relation to the Study
	5 Accident Overview
	6 Human Factor Analysis
		6.1 Liveware
		6.2 Software
		6.3 Hardware
		6.4 Environment
	7 DD-SHELL Interface Analysis
		7.1 Liveware-Liveware (L-L Interface)
		7.2 Liveware-Software (L-S Interface)
		7.3 Liveware-Hardware (L-H Interface)
		7.4 Liveware-Environment (L-E Interface)
	8 Recommendations
	9 Conclusion
	References
Development of MI-ANFIS-BBO Model for Forecasting Crude Oil Price
	1 Introduction
	2 Preliminaries
		2.1 Feature Selection Based on Mutual Information
		2.2 Adaptive Neuro-Fuzzy Inference System (ANFIS)
		2.3 Biogeography-Based Optimization (BBO) Algorithm
	3 Methodology
		3.1 Selecting Features
		3.2 The Proposed ANFIS with Parameters Optimized by BBO
	4 A Case Application
	5 Results and Discussion
	6 Conclusions
	References
Obtaining More Specific Topics  and Detecting Weak Signals by Topic Word Selection
	1 Introduction
	2 Related Work
		2.1 Latent Dirichlet Allocation
		2.2 Coherence Measures
	3 Proposed Approach
	4 Topic Word Selection
		4.1 Experimental Set-Up
		4.2 Topic Word Selection Results
	5 Weak Signal Detection
		5.1 Terminology
		5.2 Experimental Set-Up
		5.3 Weak Signal Detection Results
	6 Conclusion
	References
An Improved Ensemble Machine Learning Algorithm for Wearable Sensor Data Based Human Activity Recognition
	1 Introduction
	2 A Brief Review of Human Activity Recognition Based on Wearable Sensor Data
	3 Methodology
		3.1 Sample Generation Process for HAR
		3.2 Feature Representation for HAR
		3.3 The Needed Concepts
		3.4 Proposed Voting Classifier
	4 Experimental Results
	5 Conclusion and Future Work
	References
Average Failure Rate and Its Applications of Preventive Replacement Policies
	1 Introduction
	2 Average Failure Rate
	3 Age Replacement
		3.1 Constant To
		3.2 Random To
		3.3 Replace at T and To+tx
	4 Minimal Repair
		4.1 Constant To
		4.2 Random To
		4.3 Replace at T and To+tx
	5 Conclusions
	References
Optimal Maintenance Models of Social Infrastructures Considering Natural Disasters
	1 Introduction
	2 Basic Models
		2.1 Model 1
		2.2 Model 2
	3 Model 3
	4 Extended Models
		4.1 Model 4
		4.2 Model 5
		4.3 Model 6
	5 Numerical Calculations
	6 Conclusion
	References
Optimal Checkpoint Intervals, Schemes and Structures for Computing Modules
	1 Introduction
	2 Failure Detection and Recovery Methods
	3 Periodic Checkpoint Models
	4 Random Checkpoint Models
		4.1 Duplex Modular System
		4.2 Majority Decision System
	5 Random Checkpoint Models with Two Structures
		5.1 Comparison of Two Structures
	6 Conclusion
	References
Data Envelopment Analysis as a Tool to Evaluate Marketing Policy Reliability
	1 Introduction
	2 DEA Research Design
		2.1 Variable Selection
		2.2 Choice of Return to Scale
	3 DEA-Generated Results
		3.1 Efficiency
		3.2 Weights
		3.3 Slacks
		3.4 Improvements (Targets)
		3.5 Peer Group (Peers, Reference Sets)
		3.6 Cross-Efficiency
	4 Evaluating Efficiency Over Time
	5 An Application: Effectiveness of the Marketing Strategies
	6 Conclusion
	References
Computational Intelligence Approaches for Software Quality Improvement
	1 Introduction
	2 Overview on Computational Intelligence Paradigms
	3 Computational Intelligence for Software Requirements Engineering
	4 Computational Intelligence for Software Testing
	5 A Neutrosophic Approach to Software Quality Evaluation
	6 Conclusions
	References