Neural Information Processing

Name: Neural Information Processing | 22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV
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22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV

Sabri Arik Tingwen Huang Weng Kin Lai Qingshan Liu(Herausgeber*in)

Springer (Verlag)

Erschienen am 17. November 2015

XVII, 702 Seiten

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978-3-319-26561-2 (ISBN)

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Inhalt

Intro
Preface
Organization
Contents - Part IV
Deep Feature-Action Processing with Mixture of Updates
Abstract
1 Introduction
1.1 Actor-Critic and Neural Networks
1.2 Deep Learning and RL
1.3 Robot Homing
2 The Model
2.1 Model Architecture and Components
2.2 Actor-Critic Combined Network with Double Eligibility Traces
2.3 Mixing Gradient with Conjugate Gradient Updates
2.4 Deep Blended Actor-Critic Architecture
3 Experimental Results
3.1 Agent Learning Behavior and Convergence
References
Heterogeneous Features Integration via Semi-supervised Multi-modal Deep Networks
1 Introduction
2 Semi-Supervised Multi-Modal Deep Networks
2.1 Model Architecture
2.2 Extracting Homogeneous Representations by Root Networks
2.3 Feature Fusion with Top Networks
3 Experiments
3.1 Datasets and Experiment Setup
3.2 Experimental Results
4 Conclusion
References
Multimodal Deep Belief Network Based Link Prediction and User Comment Generation
1 Introduction
2 Models
2.1 Restricted Boltzmann Machine
2.2 Deep Belief Network
2.3 Multimodal Deep Belief Networks
3 Methodology
3.1 Link Network Structure Features
3.2 User Comment Features
3.3 Discriminative Deep Belief Networks
3.4 Reconstructive Deep Belief Networks
4 Experiments and Analysis
4.1 Experiment Setup
4.2 Link Prediction Results and Analysis
4.3 User Comment Generation Results and Analysis
5 Conclusion
References
Deep Dropout Artificial Neural Networks for Recognising Digits and Characters in Natural Images
1 Introduction
2 Methodology
2.1 Restricted Boltzmann Machines
2.2 Deep Neural Networks
2.3 Dropout Method
3 Data Set Description
4 Application and Results
5 Conclusion
References
A Multichannel Deep Belief Network for the Classification of EEG Data
1 Introduction
2 Deep Belief Networks
3 The Proposed Implementations of Multichannel DBN
4 Data Set
5 Experimental Results and Discussion
6 Conclusion
References
Deep Convolutional Neural Networks for Human Activity Recognition with Smartphone Sensors
Abstract
1 Introduction
2 Related Works
3 Human Activity Recognition with Convolutional Neural Networks
3.1 Convolutional Neural Networks
3.2 Convolutional Neural Network Architecture and Hyperparameters
4 Experiments
5 Conclusion
References
Concentration Monitoring with High Accuracy but Low Cost EEG Device
Abstract
1 Introduction
2 Method
2.1 Overall Structure of the Proposed System
2.2 Experiment Design
2.3 EEG Signal Processing
2.4 Candidate Features for Concentration Detection
3 Experimental Results
4 Conclusion
Acknowledgements
References
Transfer Components Between Subjects for EEG-based Driving Fatigue Detection
1 Introduction
2 Algorithm Description
2.1 Feature Extraction
2.2 Transfer Component Analysis
3 Experimental Setup
3.1 Subjects and Procedure
3.2 Data Collection and Pre-processing
3.3 Feature Smooth
3.4 Feature Extraction
3.5 Fatigue Measurement
3.6 Detailed Parameters for Training
4 Experiment Results
5 Conclusion and Future Work
References
A Proposed Blind DWT-SVD Watermarking Scheme for EEG Data
1 Introduction
2 The Proposed EEG Watermarking Approach
2.1 EEG Watermarking Embedding
2.2 EEG Watermarking Extraction
3 Experiments and Results
3.1 Dataset
3.2 Results
4 Conclusion and Future Work
References
A Study to Investigate Different EEG Reference Choices in Diagnosing Major Depressive Disorder
Abstract
1 Introduction
2 Proposed EEG Measures
2.1 Inter-hemispheric Asymmetry
2.2 Inter-hemispheric Coherence
2.3 Power Computation Based on Welch Periodogram Method
3 Participant Recruitment and Experiment Design
3.1 Study Participants
3.2 Experiment Design
4 Data Analysis
4.1 EEG Data Preprocess
4.2 EEG Analysis
4.3 Validation
5 Results
5.1 Calculations of Accuracy, Sensitivity, and Specificity
5.2 Low Dimensional Representation
5.3 Classification Results
6 Conclusions
References
Prosthetic Motor Imaginary Task Classification Based on EEG Quality Assessment Features
1 Introduction
2 Methodology
2.1 Signal Recording
2.2 Feature Extraction
2.3 Classification Model
3 Results
4 Conclusion and Future Work
References
Enhancing Performance of EEG-based Emotion Recognition Systems Using Feature Smoothing
1 Introduction
2 The EEG-based Emotion Recoginition Model with Feature Smoothing
3 Experiments and Results
3.1 Dataset
3.2 Feature Extraction
3.3 Feature Smoothing
3.4 Experimental Results
4 Conclusion and Future Work
References
Intelligent Opinion Mining and Sentiment Analysis Using Artificial Neural Networks
1 Introduction
2 The State of the Art
3 Description of the System
4 Conclusions and Perspectives
References
Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases
1 Introduction
2 Preliminaries and Problem Definition
3 Proposed Method
4 Experimental Results
5 Conclusion
6 Related Work
References
Exploring Social Contagion in Open-Source Communities by Mining Software Repositories
1 Introduction
2 Related Work and Research Method
3 Results and Discussions
3.1 Power Law Distribution
3.2 Best Time to Start New Projects
3.3 Social Contagion in Open-Source Software Development
4 Limitations and Future Work
5 Conclusion
References
Data Mining Analysis of an Urban Tunnel Pressure Drop Based on CFD Data
1 Introduction
2 Methodology
3 Experimental Result
4 Conclusion
References
MapReduce-based Parallelized Approximation of Frequent Itemsets Mining in Uncertain Data
Abstract
1 Introduction
2 Related Work
3 MapReduce-based Parallel Approximation Algorithm
4 Experimental Results
4.1 Performance Analysis
4.2 Performance Comparisons
5 Conclusions
Acknowledgement
References
A MapReduce Based Technique for Mining Behavioral Patterns from Sensor Data
1 Introduction
2 RFSPs Mining Problem in Wireless Sensor Networks
3 RFSPs Mining Using MapReduce Model
4 Experimental Results
5 Conclusion
References
A Methodology for Synthesizing Interdependent Multichannel EEG Data with a Comparison Among Three Blind Source Separation Techniques
1 Introduction
2 Construction of Synthetic Data
3 Evaluation of the Projection Techniques
4 Conclusion
References
Analysing the Robust EEG Channel Set for Person Authentication
1 Introduction
2 Related Work
3 Proposed Method
3.1 Dataset
3.2 Preprocessing and Feature Extraction
3.3 Channel Selection Criteria
4 Experimental Details
5 Results and Discussion
6 Conclusion and Future Work
References
Automatic Brain Tumor Segmentation in Multispectral MRI Volumetric Records
1 Introduction
2 Materials and Methods
2.1 BRATS Data Sets
2.2 The FCM Cascade
2.3 FCM Initialization
2.4 Decision Support
2.5 Evaluation of Accuracy
3 Results and Discussion
4 Conclusion
References
Real-Time EEG-based Human Emotion Recognition
Abstract
1 Introduction
2 Background
3 Real-Time Emotion Recognition
3.1 Experimental-Design
3.2 Emotion Recognition Algorithm
4 Comparison and Results
5 Software and Tools
6 Conclusion
References
Dynamic 3D Clustering of Spatio-Temporal Brain Data in the NeuCube Spiking Neural Network Architecture on a Case Study of fMRI Data
1 Introduction
2 The Proposed NeuCube-Based Spiking Neural Network Methodology for Learning, Visualization and Clustering of STBD
2.1 Spiking Neural Networks for Modelling STBD
2.2 The NeuCube Architecture [3]
2.3 3D Dynamic Neuronal Clustering in a NeuCube SNN Model
3 Application of the Proposed Method on a Benchmark fMRI STBD
3.1 FMRI Data Acquisition Description
3.2 FMRI Data Mapping, Learning and Visualization in a SNNc
3.3 Dynamic Cluster Evolution in a NeuCube Model on the fMRI Case Study STBD
4 Conclusion
References
Vigilance Differentiation from EEG Complexity Attributes
1 Introduction
2 Subjects and Experimental Environment
3 Methodology
4 Results
4.1 Conclusion
References
Robust Discriminative Nonnegative Patch Alignment for Occluded Face Recognition
1 Introduction
2 Robust Discriminative Nonnegative Patch Alignment (RD-NPA)
2.1 Part Optimization
2.2 Whole Alignment
2.3 Objective Function of RD-NPA
3 Algorithm for Robust Discriminative Nonnegative Patch Alignment
4 Experiments
4.1 Data and Parameter Setting
4.2 Experimental Results
5 Conclusion
References
Single-Image Expression Invariant Face Recognition Based on Sparse Representation
1 Introduction
2 Shape-Constrained Sparse Representation
2.1 Shape-Constrained Texture Matching
2.2 Feature Interpretation
2.3 Sparse Texture Representation (STR)
3 Experiments
3.1 Shape Change
3.2 Expression Impact
4 Conclusion
References
Intensity-Depth Face Alignment Using Cascade Shape Regression
1 Introduction
2 Framework
2.1 Problem Description
2.2 Framework Structure
2.3 Feature
2.4 Initial Estimation
3 Experiments
3.1 FRGC
3.2 LIDF
4 Conclusion
References
Bio-Inspired Hybrid Framework for Multi-view Face Detection
Abstract
1 Introduction
2 Bio-inspired Approaches to Face Detection
2.1 Unsupervised and Supervised Learning in Face Detection
2.2 Hierarchical Frameworks for Robust Face Detection
2.3 Challenge
3 Methodology
3.1 Unsupervised STDP Feature Extraction
3.2 Hybrid Feature Extraction and Selection
4 Results & Discussion
5 Conclusions & Future Work
References
Convolutional Neural Networks Considering Robustness Improvement and Its Application to Face Recognition
Abstract
1 Introduction
2 Proposed Method
3 Experimental Results
4 Conclusion
References
Weighted-PCANet for Face Recognition
1 Introduction
2 Algorithm
2.1 Sample Specific Hat Matrix
2.2 Weighted-PCANet
2.3 Comparison with CNNs and PCANet
3 Experiments
3.1 Dataset and Experiment settings
3.2 Experimental Results and Analysis
4 Conclusion
References
Feature Extraction Based on Generating Bayesian Network
1 Introduction
2 Related Work
2.1 Deep Belief Networks
2.2 Bayesian Networks
3 Proposal for a Bayesian AutoEncoder
4 Implementation of Bayesian AutoEncoder
4.1 Definitions and Assumptions for the Parameters
4.2 Belief Propagation in BAE
4.3 Definition of Loss Function
5 Experiments for Feature Extraction Through BAE
5.1 Configurations
5.2 Input Data
5.3 Learned Network Structure
6 Concluding Remarks
References
Neural Population Coding of Stimulus Features
1 Introduction
2 Materials and Methods
2.1 Entropy Distillation and Statistical Independence
2.2 Entropy Distillation Networks
2.3 Synthetic Datasets
3 Results and Discussion
3.1 Noise
3.2 Pairwise and Higher Order Features
3.3 Just Higher Order Features
3.4 Changing Features
4 Conclusions
References
Extending Local Features with Contextual Information in Graph Kernels
1 Introduction
2 Definitions and Notation
3 Graph Kernels
4 Adding Contexts to Graph Kernels
5 Efficient Implementation
6 Experimental Results
7 Conclusions and Future Work
References
Classification of Alzheimer's Disease Based on Multiple Anatomical Structures' Asymmetric Magnetic Resonance Imaging Feature Selection
Abstract
1 Introduction
2 Feature Selection Algorithm Based on Multiple Anatomical Structures' asymmetric MR Features (MASMR_FS)
2.1 Pre-processing of Brain MRI Samples
2.2 Multiple Types of MR Feature Extraction from Segmented Anatomical Structures
2.3 Wrapper Feature Selection Algorithm Based on Chain-like Agent Genetic Algorithm (CAGA) and SVM (MASMR_FS Algorithm)
2.3.1 Caga
2.3.2 Svm
2.4 Classification of AD Based on SVM
3 Experimental Results and Analysis
3.1 Experimental Conditions
3.2 Discrimination Power of Single Asymmetric Feature
3.3 Comparison Before and After Feature Selection
3.4 Comparison with P-Value Based Method
3.5 Classification Ability of Selected Features
4 Conclusion
Acknowledgments
References
Novel Feature Extraction and Classification Technique for Sensor-Based Continuous Arabic Sign Language Recognition
Abstract
1 Introduction
2 The Dataset
3 Data Collection and Labeling
4 Proposed Feature Extraction
5 Proposed Classification Solution
6 Experimental Results
7 Conclusion
Acknowledgement
References
Weighting Based Approach for Semi-supervised Feature Selection
1 Introduction
2 Weighting Based Feature Selection: wCKM
3 Results
3.1 Experimental Setting
3.2 Comparison of Feature Quality on High-Dimensional Data
4 Conclusion
References
Path Planning with Slime Molds: A Biology-Inspired Approach
1 Introduction
2 Plasmodium in Nature
2.1 Behavior
2.2 Application of Real Physarum Polycephalum to Solve a Maze
3 Artificial Plasmodium Algorithm (APA)
3.1 Initialization
3.2 Placement of Two Foods in the Maze
3.3 Spread of Contraction Waves
3.4 Search for the Path
4 Computer Simulation
4.1 Netlogo
4.2 Setting of Mazes
5 Results
6 Conclusions
References
Convolutional Neural Network with Biologically Inspired ON/OFF ReLU
Abstract
1 Introduction
2 Proposed Method
2.1 Modeling Retinal Structure
2.2 ON/oFF Rectified Linear Unit
2.3 Modification of Convolutional Neural Network
3 Experimental Results
4 Conclusions
References
Multivariate Autoregressive-based Neuronal Network Flow Analysis for In-vitro Recorded Bursts
1 Introduction
2 Methodology
2.1 Multivariate Autoregressive Modelling
2.2 Partial Directed Coherence
3 Experimental Data Analysis
3.1 Burst Identification, Extraction and Filtering
4 Results and Discussion
5 Conclusion
References
Cognitive Load Driven Directed Information Flow in Functional Brain Networks
Abstract
1 Introduction
2 Normalized Transfer Entropy
3 Directed Information Flow in Functional Brain Networks
4 Methods
4.1 Participants and EEG Data Acquisition
4.2 EEG Signal Pre-processing
4.3 Analysis Framework of Information Flow Direction Patterns
5 Results and Discussion
5.1 Construction and Visualization of Directed FBNs
5.2 Analysis of Directed Group FBNs Using Total Degree Measure
5.3 Information Flow Direction During Cognitive Activity
6 Conclusion
References
Discrimination of Brain States Using Wavelet and Power Spectral Density
Abstract
1 Introduction
2 Energy and Power
3 Materials and Methods
3.1 Preprocessing
3.2 Participants
3.3 Tasks
3.4 EEG Recording Procedure
4 Results and Discussion
5 Conclusion
Acknowledgment
References
A Cortically-Inspired Model for Bioacoustics Recognition
1 Introduction
2 Related Work
3 Wavelet Transforms
4 Hierarchical Temporal Memory
5 Experimental Study
6 Results and Discussion
7 Conclusion
References
Ontology-based Information Extraction for Residential Land Use Suitability: A Case Study of the City of Regina, Canada
1 Introduction
2 Decision Criteria Based on Spatial Relations
3 Proposed Method
3.1 LUSA OBIE
3.2 GIS-based Multi-criteria Decision Making (MCDM)
4 Case Study: The City of Regina
4.1 Study Area
4.2 Specification of the Criteria
4.3 Selection of Data Layers
4.4 Creation of Factor and Constraint Images
5 Conclusion
References
Correlating Open Rating Systems and Event Extraction from Text
1 Introduction
2 Related Work
3 Dataset
4 Event Dictionary Construction
4.1 Event Extraction
4.2 Dictionary Construction
5 Evaluation
5.1 Error Analysis
5.2 Application to Data from the ESWC2014 Challenge
6 Conclusions and Future Works
References
Adaptive DDoS-Event Detection from Big Darknet Traffic Data
1 Introduction
2 Proposed System
2.1 System Constitution
2.2 Feature Extraction
2.3 Learning
3 Experiments and Performance Evaluation
3.1 Experimental Setup
3.2 Experimental Results
4 Discussion
5 Conclusions
References
Content Based Video Retrieval for Obscene Adult Content Detection
1 Introduction
2 Related Work
3 Proposed Methodology
4 Implementation
5 Results and Discussion
6 Conclusion
References
Combined Document/Business Card Detector for Proactive Document-Based Services on the Smartphone
1 Introduction
2 Quadrilateral Region Extraction
2.1 Image Partitioning
2.2 Block-based Line Fitting
2.3 Searching Largest Quadrilateral
3 Region Classification
3.1 Previous Work on Document Image Classification
3.2 Proposed Method
4 Experiments
4.1 Data Collection
4.2 Evaluation of Extracting Quadrilateral Region
4.3 Evaluation of Region Classification
5 Conclusion
References
A Heuristic Data Mining Framework Towards Dynamic Data of Social Media
Abstract
1 Introduction
2 Related Work
3 Motivation and Problem Formulation
4 Proposed Solution
5 Experimental Tests
6 Conclusions
References
Abnormal Activity Detection Using Spatio-Temporal Feature and Laplacian Sparse Representation
1 Introduction
2 Methodology
2.1 Spatio-Temporal Feature
2.2 Laplacian Sparse Representation for Spatio-Temporal Feature
2.3 Maximum Pooling
2.4 Abnormal Activity Detection via SVM
3 Experiments
3.1 Experimental Results on the UMN Dataset
3.2 Experimental Results on the Hockey Dataset
4 Conclusion
References
Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels
1 Introduction
2 Iris Authentication Using Local Higher-Order Moment Kernels
2.1 Iris Detection and Normalization
2.2 Local Higher-Order Moment Feature and the Kernel Function
2.3 Iris Code Generation and Matching
3 Experiments
3.1 Experiment 1: Direct Use of Local Higher-Order Spectral Features
3.2 Experiment 2: LHOM Kernel-based Method
3.3 Experiment 3: Verification Using Noisy Data
4 Conclusion
References
Myoelectric Control System of Lower Limb Exoskeleton for Re-training Motion Deficiencies
1 Introduction
2 Control Strategy for Guided Exoskeleton Motion
3 Raw EMG Signal Acquisition
3.1 Sensor Placement
3.2 Electrode Placement
4 Gait Phase Recognition
5 Discussion
Reference
A Medical Image Steganography Method Based on Integer Wavelet Transform and Overlapping Edge Detection
1 Introduction
2 Related Work
3 The Proposed Method
3.1 The Embedding Process
3.2 The Extraction Process
4 Experimental Result and Discussion
5 Conclusion
References
Combining CNN and MIL to Assist Hotspot Segmentation in Bone Scintigraphy
1 Introduction
2 Methodology
2.1 Using CNN to Train Image-Level Classifier
2.2 Using MIL to Train Patch-Level Classifier
2.3 Using Level Set to Segment Hotspot
3 Experiments
4 Conclusion
References
Topic and Thematic Description for Movies Documents
Abstract
1 Introduction
2 Related Works
3 Proposed Approach
3.1 Text Segmentation Phase
3.2 Description Extraction Phase
4 Experiment Results
4.1 Evaluation of the Estimation Parameter
4.2 Comparison and Discussion Results
5 Conclusion and Futures Works
References
Texture Based Method for Automated Detection, Localization and Evaluation of the Exudates in Retinal Images
Abstract
1 Introduction
2 Methodology and Algorithms
3 Experimental Results and Discussions
4 Conclusions
References
A Graph Community and Bag of Categorized Visual Words Based Image Retrieval
Abstract
1 Introduction
2 Bag of Categorized Visual Words
2.1 Bag of Visual Words
2.2 Bag of Categorized Visual Words
3 Tag Graph Community Detection
3.1 Complex Networks and Community Detection
3.2 Tag Graph
4 Experimental Results
4.1 Dataset
4.2 BOCVW/BOVW Parameters
4.3 Image Retrieval Framework
4.4 Tag Community Detection and Selection
4.5 Overall Experimental Performance
5 Conclusions
References
Nearest Neighbor with Multi-feature Metric for Image Annotation
Abstract
1 Introduction
2 Multi-feature Metric Learning Method
3 Nearest Neighbor Model
4 Experiments and Results
4.1 Experiments with Our Model
4.2 Experiments Compared with Other Methods
4.3 Experiments for Distance Metric Learning
5 Conclusion
References
Number Recognition of Sudoku Grid Image with Artificial Neural Networks
Abstract
1 Introduction
2 Method
3 Results and Discussion
4 Conclusion and Future Work
References
Counting Human Actions in Video During Physical Exercise
1 Introduction
2 Identification and Counting Human Actions
3 Performance Evaluation
4 Conclusion and Future Work
References
Towards a Blind MAP-Based Traitor Tracing Scheme for Hierarchical Fingerprints
1 Introduction
2 The Multi-Level Hierarchical Fingerprint Construction
3 The Proposed Tracing Scheme
3.1 The Boneh Shaw - Tardos Accusation Strategy in a Non-Blind Scheme
3.2 MAP Decoding Strategy
3.3 MAP Decoding in Two-Layered Tracing Scheme
4 Experimental Results
4.1 Results of Stability Against Different Collusion Strategies
4.2 Results When Varying the Code Lengths
4.3 Time Estimation
5 Conclusion
References
Poisson Image Denoising Based on BLS-GSM Method
Abstract
1 Introduction
2 Method Description
2.1 Poisson Noise
2.2 Our Algorithm
3 Experiments and Analysis
4 Discussion and Conclusion
Acknowledgement
References
Exploring Relative Motion Features for Gait Recognition with Kinect
Abstract
1 Introduction
2 Proposed Method
2.1 Kinect Skeleton Data
2.2 Distance-Based Relative Motion Features Extraction
2.3 Static Gait Feature Extraction
2.4 Feature Selection and Classification
3 Experiment and Results
3.1 Skeleton Gait Dataset
3.2 Classification Results
3.3 Comparison to Other Methods
4 Conclusion
References
Characterisation of Cognitive Activity Using Minimum Connected Component
Abstract
1 Introduction
2 Functional Brain Network Analysis Using Graph Theoretic Concepts
3 FBN Analysis Using MCC and Cliques
4 Data Collection and Pre-processing
5 Measuring Cognitive Activity in FBN Using MCC and Clique Analyses
6 Results and Discussion
6.1 Clusters of Connectivity Patterns
6.2 Clique Analysis
7 Conclusion
References
Real-Time People Counting Application by Using GPU Programming
Abstract
1 Introduction
2 People Counting Application
2.1 Counting Algorithm
2.2 Capturing Images
2.3 Gray-Scale Transform
2.4 Background Subtraction
2.5 Morphological Operations
2.6 Blob Analysis and Counting
3 Experimental Results
4 Conclusion
References
Activity and Flight Trajectory Monitoring of Mosquito Colonies for Automated Behaviour Analysis
Abstract
1 Introduction
2 Camera Placement
3 Activity Monitoring
4 Flight Trajectory Estimation
5 Conclusion
References
Facial Emotion Profiling Based on Emotion Specific Feature Model
Abstract
1 Introduction
2 Facial Emotion Profiling
3 Results and Discussion
4 Conclusion
Acknowledgments
References
Heterogeneous Discriminant Analysis for Cross-View Action Recognition
1 Introduction
2 Heterogeneous Transfer Linear Discriminant Analysis
3 Heterogeneous Transfer Kernel Discriminant Analysis
4 Experiments
4.1 Dataset
4.2 Setup
4.3 Results
5 Conclusions
References
A Comparison of Facial Features and Fusion Methods for Emotion Recognition
1 Introduction and Motivation
2 Facial Expression Feature Extraction
3 Emotion Recognition Classifiers
4 Experimental Protocol
5 Performance of the Individual Features
6 Fusion
7 Summary and Conclusions
References
A Review and Comparison of Service E-Contract Architecture Metamodels
1 Introduction
2 Research Method
3 Analysis: Metamodels
3.1 EREC metamodel
3.2 Three-Layered E-Contract Enforcement Metamodel
3.3 Secure E-Contract Metamodel
4 Discussion
4.1 Structure
4.2 Behavior
4.3 Technology
5 Conclusion
References
A Comparative Analysis of Scalable and Context-Aware Trust Management Approaches for Internet of Things
Abstract
1 Introduction
2 Trust/Reliable Management Protocol for IoT
3 Scalable Solution for Trust Management in the IoT
4 Context-Aware Trust Assessment in IoT Networks
5 Comparative Analysis of Trust/Reliability Management Approaches in the IoT and Discussions
6 Conclusion
References
Societal Intelligence -- A New Perspective for Highly Intelligent Systems
1 Introduction
2 Intelligent Knowledge-Based Agents
3 A New Perspective for Highly Intelligent Multi-agent Systems
3.1 Characterization of the Intelligence of Human Society
3.2 A Novel Societal Multi-agent System Architecture
4 Case Study of a Simple Societal Multi-agent System
5 Conclusion
References
DOTS: Drift Oriented Tool System
1 Introduction
2 Drift Oriented Tool System
2.1 Introduction
2.2 Specific Features of DOTS
3 Case Study: Twitter Stream
3.1 Drift Example in Twitter
3.2 Twitter Classification
3.3 Using DOTS to Twitter Classification
4 Conclusions and Future Work
References
Approximately Similarity Measurement of Web Sites
Abstract
1 Introduction
2 The Selection of the Significant Web Pages of a Web Site
3 Applied Genetic Algorithm
4 The Implementation
5 Conclusions and Future Work
References
Using NLP Specific Tools for Non-NLP Specific Tasks. A Web Security Application
1 Introduction
2 Related Work
3 Our Approach
4 Results
5 Conclusions and Further Work
References
Towards Soft Computing Approaches for Formulating Viable Service Level Agreements in Cloud
Abstract
1 Introduction
2 Related Work
3 Viable SLA lifecycle
4 Fuzzy Inference System (FIS) for Dynamic Resource Allocation
5 Validate the FIS and Analyze Using Neural Nand Regression-Based Methods
6 Conclusion
References
ARPPS: Augmented Reality Pipeline Prospect System
Abstract
1 Introduction
2 Methods
2.1 Spatial Data Organization and Distribution
2.2 3D Registration and Tracking
2.3 Mapping the Sense of Reality on Virtual-Real Fusion
3 Operational Results
4 Conclusion
References
Identifying SQL Queries Similarity Using SVM
1 Introduction
2 Related Work
3 Approach to Predicting Similarity
3.1 SQL Queries Representation
3.2 Building a Summary Structure
3.3 Our Proposed Kernels
4 Experimentations and Results
4.1 Experimental Methodology
4.2 Results
5 Conclusion
References
Improving the Quality of Load Forecasts Using Smart Meter Data
1 Introduction
2 Smart Meter Dataset
3 Problem Statement
3.1 Single Model Method Formulation
3.2 Clustering-based Method Formulation
4 Single Model Forecast
5 Wavelet Transformation and Interactive k-means
6 Case Study
7 Conclusion
References
Transport-Independent Protocols for Universal AER Communications
1 Neural AER Communications: The Case for Standardisation
2 A Proposed Protocol for AER Communications
2.1 Comments on Data Handling
2.2 Supported Formats
3 Implementation on a Real Platform
3.1 Platforms
3.2 SpiNNaker-Side: The EIEIO Interface
3.3 iCub-side: The AER Library
4 Multi-system, Multi-modal Real-Time Operation
4.1 Simulation with a Virtual Device
4.2 Hardware Operation with the Proposed Interface
5 Discussion: Potential and Challenges
5.1 Current Work: Immediate Implications
5.2 Next Steps: Future Work
6 Conclusions
References
A Methodological Approach for Big Data Security: Application for NoSQL Data Stores
Abstract
1 Introduction
2 A Survey on Big Data Security Techniques
3 Related Works
4 Big Data and NoSQL
5 Overview of the Approach
5.1 The Pre-treatment Phase
5.2 Find and Identify Sensitive Attributes Phase
5.3 Sensitive Data Fragmentation Phase
5.4 Data Reconstruction
6 Conclusion
References
Erratum to: Identifying SQL Queries Similarity Using SVM
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