
Mobile Web and Intelligent Information Systems
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The 36 papers presented in this volume were carefully reviewed and selected from 98 submissions. They were organization in topical sections named: mobile Web - practice and experience; advanced Web and mobile systems; security of mobile applications; mobile and wireless networking; mobile applications and wearable devices; mobile Web and applications; personalization and social networks.
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Persons
Content
- Intro
- Preface
- Organization
- Contents
- Mobile Web - Practice and Experience
- An Android Kernel Extension to Save Energy Resources Without Impacting User Experience
- 1 Introduction
- 2 Related Work
- 3 Implementing an Energy Aware Kernel Module for Android
- 4 Evaluation
- 4.1 Experiment 1: Performance
- 4.2 Experiment 2: Battery Runtime
- 4.3 Threats to Validity
- 5 Conclusions and Future Work
- References
- Mobile Soundscape Mixer - Ready for Action
- Abstract
- 1 Introduction
- 2 System Overview
- 3 Design Process of the Mobile Soundscape Mixer Application
- 4 Guidelines and Implementation for the Mobile Soundscape Mixer Application
- 5 Performance Evaluation
- 6 Discussion
- 7 Conclusions
- Acknowledgements
- References
- Onde Chiare: A Mobile Application to Mitigate the Risk Perception from Electromagnetic Fields
- 1 Introduction
- 2 Electromagnetic Fields and Public Health
- 2.1 EMF Risk Perception
- 3 Onde Chiare: Design and Implementation
- 3.1 Use Case and Scenario
- 3.2 General Architecture
- 3.3 Server Side
- 3.4 Android App
- 4 Conclusion and Future Works
- References
- Ringtone Adaptation Based on Location and Surrounding Noise
- Abstract
- 1 Introduction
- 2 Problem Definition
- 3 New Solution
- 4 Implementation
- 5 Developed Application Testing - Solution
- 6 Conclusions
- Acknowledgement
- References
- Loop Speed Trap Data Collection Method for an Accurate Short-Term Traffic Flow Forecasting
- 1 Introduction
- 2 Cloud Based-Service for Traffic Flow Forecasting
- 3 Real-Time Data Collection Method for Traffic Flow Forecasting
- 3.1 Foreseen Arrival Time Parameter
- 3.2 Busiest Arrival Time for Safety Traffic Flow
- 4 Linear Regression for Traffic Flow Forecasting
- 5 Conclusion
- References
- Advanced Web and Mobile Systems
- Computational Thinking Through Mobile Programming
- 1 Introduction
- 2 Background
- 3 Course Description
- 3.1 Motivation and Goal
- 3.2 Rationale
- 3.3 Tools
- 3.4 Structure
- 3.5 Assessment
- 4 Case Study
- 5 Results
- 6 Conclusion and Future Work
- References
- Realistic Offloading Scheme for Mobile Cloud Computing
- Abstract
- 1 Introduction
- 2 System Design Architecture
- 2.1 Mobile Side
- 2.2 Cloud Side
- 3 Cost Prediction Models
- 3.1 Problem Formulation
- 3.2 Mobile Execution Cost Prediction
- 3.3 Cloud Execution Cost Prediction
- 4 Realistic Decision Algorithm (RDA)
- 4.1 RDA Algorithm Description
- 4.2 RDA Algorithm Overhead
- 5 Simulation Results
- 6 Related Work
- 7 Conclusion
- References
- Model Driven Development Approaches for Mobile Applications: A Survey
- 1 Introduction
- 2 Related Work
- 3 Dimensions of Analysis
- 3.1 Development Process Phases
- 3.2 Covered Mobile App Aspects
- 3.3 Model-Driven Development Techniques Applied
- 3.4 Generated Apps Perspective
- 4 Overview of MDD Approaches
- 4.1 Research Approaches
- 4.2 Commercial Solutions
- 4.3 Classification
- 5 Trends and Outlook
- 5.1 Multilevel Code Generation Approaches
- 5.2 Single Level Code Generation Approaches
- 5.3 Development Process
- 5.4 Mobile App Aspects
- 5.5 Executability
- 5.6 Native, Cross-Platform or Web Applications
- 5.7 Cross Platform Development
- 5.8 Lack of Standard Mobile Modeling Language
- 6 Conclusions
- References
- Fuzzy Ontology Based Model for Image Retrieval
- Abstract
- 1 Introduction
- 2 Related Work
- 2.1 Text Based Retrieval Systems
- 2.2 Ontology Based Retrieval Systems
- 2.3 Fuzzy Ontology Based Retrieval Systems
- 3 Proposed Methodology
- 3.1 Fuzzy Ontology Construction
- 3.2 Image Retrieval
- 3.3 Walk-Through Example
- 4 Experimental Results
- 5 Conclusion
- References
- Face-Based Difficulty Adjustment for the Game Five in a Row
- Abstract
- 1 Introduction
- 2 Problem Definition
- 2.1 Genetic Algorithms - Minimax
- 2.2 Face-Based Difficulty Adjustment of the Game According to the Shots from the Front Camera
- 3 New Solution
- 3.1 Design and Realisation of Tournament Selection
- 4 Implementation Issues of Developed Game
- 4.1 Implementation of the Game Algorithm
- 4.2 Implementation of the Technologies for the Face Recognition
- 4.3 Implementation Issues of Face-Based Difficulty Adjustment
- 4.4 Implementation Issues of Real-Time Option for Artificial Intelligence
- 5 Testing of Developed Solution
- 5.1 Testing of the Newly Designed Algorithm
- 5.2 Comparison of the Technologies for the Face Detection in the Image
- 5.3 Speed Performance Testing
- 6 Conclusions
- Acknowledgement
- References
- Security of Mobile Applications
- Adaptive Trust Scenarios for Mobile Security
- 1 Introduction
- 2 Trust in Mobile Systems
- 3 Scenarios for Adaptive Trust
- 3.1 S1: Based on System Configuration
- 3.2 S2: Communication Interface Diversity
- 3.3 S3: In Secure Environment
- 3.4 S4: In Open Environment
- 3.5 S5: Move Along Environments
- 3.6 S6: Having Connections with Many Entities
- 3.7 Applying Trust Models to the Scenarios
- 3.8 Numerical Evaluation
- 4 Conclusion
- References
- Access Control Approach in Development of Mobile Applications
- 1 Introduction
- 2 Mobile Security - Treads and Vulnerabilities
- 2.1 Security Risks in iOS Application Development
- 2.2 Major Vulnerabilities of Android Applications
- 3 Secure Development Model
- 3.1 Data Storage Security Model
- 3.2 Data Access Security Model
- 3.3 Data Transfer Security Model
- 4 Access Control Model Approach
- 5 iSec Framework as the Implementation of SDS Model
- 6 Conclusions
- References
- Using Mobile Technology in National Identity Registration
- Abstract
- 1 Introduction
- 2 Definition of Identity
- 3 The Mobile Identity Concept
- 3.1 Establishment of Citizen Identity - Birth Registration
- 3.2 Obstacles to Birth Registration in Pakistan
- 3.3 Mobile Birth Registration in Pakistan
- 4 Value Proposition
- 5 Social Benefit Analysis
- 6 Conclusion
- References
- Strengthening Mobile Network Security Using Machine Learning
- Abstract
- 1 Introduction
- 2 Related Works
- 2.1 Security Research Labs (SRLabs)
- 2.2 P1 Security
- 2.3 SBA Research
- 3 Threats and Vulnerabilities in the Mobile Network
- 4 Briefly About Machine Learning
- 5 How Can Machine Learning Improve Mobile Network Security
- 5.1 Zero Day Attacks
- 5.2 Challenges in the Construction of Conclusive Attack Signatures
- 6 Case Study: The IMSI Catcher
- 6.1 Short About IMSI Catcher
- 6.2 Challenges in the Detection of IMSI Catcher
- 6.3 Challenges in the Establishment of IMSI Catcher Signature
- 6.3.1 Handover from 3G to 2G
- 6.3.2 Location Update
- 6.3.3 Relation Between IMSI and IMEI
- 6.4 A Machine Learning Based IMSI Catcher Detection
- 7 Conclusion
- References
- Secured Authentication Using Anonymity and Password-Based Key Derivation Function
- Abstract
- 1 Introduction
- 2 Background
- 2.1 Authentication Scheme Comparison
- 2.2 Anonymity in Authentication Scheme
- 2.3 Password-Based Key Derivation Function 2 (PBKDF2)
- 3 The Proposed Scheme
- 3.1 Protocol Description
- 4 Vulnerabilities and Security Analysis
- 4.1 Cloud Vulnerabilities
- 4.2 Possible Attacks
- 5 Conclusion
- Acknowledgment
- References
- Mobile and Wireless Networking
- Optimal Resource Allocation for Non-Real Time Visible Light Communication Networks
- 1 Introduction
- 2 System Description and Problem Formulation
- 2.1 System Description
- 2.2 Problem Formulation
- 2.3 Piecewise Linear Formulation
- 3 VNS Decomposition Procedure
- 4 Numerical Results
- 5 Conclusions
- References
- On Information Sharing Scheme for Automatic Evacuation Guiding System Using Evacuees' Mobile Nodes
- 1 Introduction
- 2 Related Work
- 3 Automatic Evacuation Guiding System
- 4 Proposed Scheme
- 4.1 Selection of Blocked Road Segments Based on Evacuees' Views
- 4.2 Communication Through DTN Routing
- 5 Simulation Results
- 5.1 Simulation Model
- 5.2 Appropriate Margin of View
- 5.3 Network Load
- 6 Conclusions
- References
- Cognitive Downlink Interference LTE Femtocell
- Abstract
- 1 Introduction
- 2 Related Works
- 3 Problems
- 4 Simulation
- 5 Results and Discussion
- 6 Conclusion
- References
- Correlation Properties of QOCCC Based on 1D-CCC with Parameters (N, N, 2N) and (N, N, N)
- Abstract
- 1 Introduction
- 2 CCC Definitions
- 2.1 One-Dimensional CCCs
- 2.2 Two-Dimensional CCCs
- 3 QOCCC Properties
- 3.1 Parameters
- 4 Conclusion
- Acknowledgment
- References
- Heterogeneous Traffic Modeling and Analysis for Wireless Sensor Networks
- Abstract
- 1 Introduction
- 2 Applications
- 2.1 Smart Healthcare System
- 3 Related Work
- 4 System Model and Assumptions
- 4.1 Heterogeneous Traffic Model
- 4.2 Sensor Node Queuing Model
- 5 Traffic Model of a Sensor Node
- 6 Network Performance Estimation
- 6.1 Average Loss Probability of Packet of Type k
- 6.2 Average Network Throughput of Packet of Type k
- 6.3 Average Network Delay of Packets of Type k
- 7 Network Performance
- 8 Conclusion
- References
- Duco - Hybrid Indoor Navigation
- 1 Introduction
- 2 Background
- 3 Implementation
- 3.1 Indoor Map Graph Generation
- 3.2 Initial Location Determination
- 3.3 Navigation
- 4 Evaluation
- 4.1 Evaluation Environments
- 4.2 Evaluation Hardware
- 4.3 Small Environment Test - Home Scenario
- 4.4 Large Environment Test - Istanbul Atatürk Airport Scenario
- 5 Conclusion and Discussion
- References
- Mobile Applications and Wearable Devices
- Persuasive Cities for Sustainable Wellbeing: Quantified Communities
- Abstract
- 1 Motivation
- 2 Perspective
- 3 Emergence of Persuasive Cities
- 3.1 Susceptibility to Persuasive Technology
- 3.2 Defining Behavior Change
- 3.3 Tools for Social Engineering
- 4 Contexts of Future Persuasive Cities
- 4.1 Outdoor Environments
- 4.2 Indoor Environments
- 4.3 Mobility
- 5 Application to Bicycling in Cities
- 5.1 Biking Tourney
- 5.2 Assessing Engagement
- 6 Future Research Opportunities
- 6.1 Sedentary Behavior
- 6.2 Water Conservation
- 6.3 Walking
- 7 Conclusions
- Acknowledgements
- Appendix A: Measurement Items and Combined Loadings
- References
- H-Plane: Intelligent Data Management for Mobile Healthcare Applications
- 1 Introduction
- 2 Related Work
- 3 H-Plane
- 3.1 Architecture
- 3.2 Logs
- 3.3 Log Operations
- 4 Dynamic Log Chunking Model
- 5 Evaluation
- 5.1 Benefits
- 6 Conclusion and Future Work
- References
- Mobile Health Devices for Aging Population Groups: A Review Study
- Abstract
- 1 Introduction
- 2 Methods
- 3 Results and Discussion
- 4 Conclusion
- Acknowledgments
- References
- Sensors in Your Clothes: Design and Development of a Prototype
- Abstract
- 1 Introduction
- 2 Background
- 3 Design and Implementation
- 3.1 Garment
- 3.2 Application
- 3.3 Software Architecture
- 4 Conclusions and Future Work
- References
- Utilizing Multiple Interaction Styles to Collect Installed Base Information Using Wearable and Mobile Devices
- 1 Introduction
- 2 Utilizing Mobile and Wearable Devices to Collect Installed Base Information
- 2.1 Collecting Installed Base Information
- 2.2 Commands
- 3 Conclusion
- References
- Mobile Web and Applications
- Shopping Furniture and Appliances Using FAV Mobile Application
- Abstract
- 1 Introduction
- 2 Related Work
- 3 The Proposed Application- FAV
- 3.1 FAV Architecture
- 3.2 FAV Features
- 3.3 An Illustrative Example
- 4 Conclusion
- References
- A Measurement Tool to Track Drones Battery Consumption During Flights
- 1 Introduction
- 2 Related Work
- 2.1 Literature Review
- 2.2 Operative Target
- 3 A Tool to Measure Drones Energy Consumption
- 3.1 Proposed Architecture
- 3.2 Selected Target
- 4 Sample Applications
- 4.1 Battery Drain
- 4.2 Characterizing Each Type of Maneuver in Terms of Energy Consumption
- 5 Future Work
- 6 Conclusions
- References
- Speed Up Native Mobile Form Development
- 1 Introduction
- 2 Related Work
- 3 Complexities of Form Driven Mobile Applications
- 3.1 Typical Development Cycle
- 3.2 Identify the Complexities
- 3.3 Reducing Complexity
- 3.4 Generative Development
- 4 Measure the Improvement
- 4.1 Validation of the Solution
- 4.2 How Much Time Could Be Saved?
- 5 Benefits
- 5.1 Covered Input Types
- 5.2 Supported Platforms
- 6 Conclusion and Future Work
- References
- Location Based Services Used in Smart Electronic Wallet Mobile Application
- Abstract
- 1 Introduction
- 2 Problem Definition
- 3 New Solution
- 4 Implementation of the Solution
- 5 Developed Application Testing
- 6 Conclusions
- Acknowledgment
- References
- Smart Automatic Control of GSM Alarm
- Abstract
- 1 Introduction
- 2 Problem Definition and Related Works
- 3 New Solution
- 4 Implementation
- 5 Testing of Developed Application
- 5.1 Results
- 6 Conclusions
- Acknowledgement
- References
- Personalization and Social Networks
- Impact of Individual Differences on the Use of Mobile Phones and Applications
- Abstract
- 1 Introduction
- 2 Literature Review
- 3 Research Methodology
- 3.1 Participants
- 3.2 Materials
- 3.3 Data Analysis and Results
- 4 Discussion
- 5 Conclusion and Future Work
- References
- Smart Solution in Social Relationships Graphs
- Abstract
- 1 Introduction
- 2 Problem Definition
- 3 New Solution
- 4 Implementation
- 5 Testing of the Developed Application
- 5.1 Testing
- 5.2 Testing Evaluation
- 6 Conclusions
- Acknowledgements
- References
- A Context-Based Personalization for Mobile Applications' Network Access
- Abstract
- 1 Introduction
- 2 Architectural Design
- 3 Analytic Hierarchical Process Method
- 4 Implementation and Evaluation
- 5 Related Work
- 6 Conclusions
- References
- Group Assist Recommendation Model Based on Intelligent Mobile Terminals---GARMIT
- 1 Introduction
- 2 Related Work
- 2.1 Traditional Recommender Systems
- 2.2 Context-Awareness Recommendation and Social Network-Based Recommendation
- 2.3 Shortcomings of Existing Recommender Systems
- 3 New Model Construction
- 3.1 Concepts
- 3.2 Construction of the Model
- 4 Recommended System Implementation, Effect Analysis and Comparison
- 4.1 Design and Development of System
- 4.2 The Analysis of Effectiveness and Time Complexity
- 4.3 Comparison with Other Recommender Systems
- 5 Summary
- References
- A Smart Arduino Alarm Clock Based on NREM and REM Sleep Stage Detection
- Abstract
- 1 Introduction
- 2 Existing Solutions and a Definition of the Problem
- 3 New Tiny Budget Smart Solution
- 4 Implementation Based on Arduino UNO R3
- 5 Testing of Developed Solution
- 5.1 Results
- 6 Conclusions
- Acknowledgement
- References
- Author Index
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