Man-Machine Interactions 6

Name: Man-Machine Interactions 6 | 6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019
Brand: Springer
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6th International Conference on Man-Machine Interactions, ICMMI 2019, Cracow, Poland, October 2-3, 2019

Aleksandra Gruca Tadeusz Czachórski Sebastian Deorowicz Katarzyna Harezlak Agnieszka Piotrowska(Herausgeber*in)

Springer (Verlag)

1. Auflage

Erschienen am 21. September 2019

XV, 260 Seiten

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978-3-030-31964-9 (ISBN)

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Inhalt

Intro
Preface
Organization
Honorary Patronage
Conference Chair
Programme Committee
Additional Reviewers
Organizing Committee
Contents
Human-Computer Interfaces
Head-Based Text Entry Methods for Motor-Impaired People
1 Introduction
2 Text-Entry Methods for Motor-Impairment
3 Head-Based Text Entry Methods
4 Evaluation
4.1 Participants and Procedure
4.2 Results
5 Conclusions
References
VEEP-The System for Motion Tracking in Virtual Reality
1 Introduction
2 The System Outline
2.1 VR Goggles
2.2 Game Engine
2.3 Motion Tracking
3 Localization of 2D Markers in Images
4 3D Position Calculation
4.1 Calibration and Tsai Model
4.2 Calculation of 3D Points
4.3 Tracking the Markers
5 Experimental Environment
6 Efficiency
6.1 Network Efficiency
6.2 Tracker Efficiency
6.3 Coupler Efficiency
7 Accuracy
8 Summary
References
Immersive Virtual Reality for Assisting in Inclusive Architectural Design
1 Introduction
2 Inclusive Architectural Design
3 Computer Aided Architectural Design Process
4 IVR in Architectural Design Case Study
5 Conclusion
References
Spatio-Temporal Filtering for Evoked Potentials Detection
1 Introduction
2 Methods
2.1 Spatio-Temporal Filtering
2.2 Learning Phase
3 Numerical Experiments
3.1 Quantitative Results
3.2 Qualitative Results
4 Conclusion
References
A Review on the Vehicle to Vehicle and Vehicle to Infrastructure Communication
1 Introduction
2 Wireless Technologies
2.1 Non-standard Data Transmission
2.2 Data Transmission with WiFi Standard
2.3 Data Transmission with DSRC Standard
2.4 Data Transmission with C-ITS Standard
2.5 Data Transmission with Cellular Networks
3 Comparison of Technologies
4 Conclusion
References
Artificial Intelligence and Knowledge Discovery
Classifying Relation via Piecewise Convolutional Neural Networks with Transfer Learning
1 Introduction
2 Related Work
3 Methodology
3.1 The Neural Network Architecture
3.2 Transferring Knowledge of Parameters
4 Experiments
4.1 Experimental Settings
4.2 Comparison with Other Relation Classification Methods
4.3 Effect of Transfer Learning
4.4 Effect of Different Features
5 Conclusion and Future Works
References
Ensembles of Active Adaptive Incremental Classifiers
1 Introduction
2 Concept Drift Detection
3 Proposed Solution
4 Experiments and Results
4.1 Data Sets
4.2 Experimental Setup
4.3 Results
5 Conclusions
References
Influence of the Applied Outlier Detection Methods on the Quality of Classification
1 Introduction
1.1 Related Work
1.2 Contribution
1.3 Paper Structure
2 Outlier Detection Methods
2.1 Interquartile Method
2.2 Distance-Based Method
2.3 Local Outlier Factor
2.4 Angle Based Outlier Detection
3 Experiments
4 Conclusions and Future Work
References
Predictive Algorithms in Social Sciences - Problematic Internet Use Example
1 Introduction
2 Problematic Internet Use
2.1 Model and Aspects of Problematic Internet Use
2.2 Subscales
3 Need for Using Algorithms in Social Sciences
4 Data
5 Results
5.1 All Results
5.2 Best Results
6 Discussion
7 Conclusions
References
FIT2COMIn - Robust Clustering Algorithm for Incomplete Data
1 Introduction
2 Fuzzy Interval Type-2 C-Ordered Means for Incomplete Data
3 Experiments
3.1 Datasets
3.2 Numerical Experiments
4 Conclusions
References
GrFCM - Granular Clustering of Granular Data
1 Introduction
1.1 Data Granules
1.2 Extensional Fuzzy Numbers
1.3 Granular Fuzzy C-Means Clustering Algorithm
2 Experiments
2.1 Data Sets
2.2 Results
3 Conclusions
References
Pattern Recognition
Evaluation of Cosine Similarity Feature for Named Entity Recognition on Tweets
1 Introduction
2 Tweet Data and Features
2.1 Tweet Data
2.2 Feature Set
3 Tests and Evaluation
3.1 Implementation
3.2 Test and Results
4 Conclusions
References
Deep Recurrent Neural Networks for Human Activity Recognition During Skiing
1 Introduction
2 Sensors Data
3 Deep Models
3.1 Recurrent Neural Network
3.2 Long Short-Term Memory
4 Experimental Setup
4.1 Proposed Network Architectures
4.2 Network Training
4.3 Performance Metrics
5 Results
6 Discussion
7 Conclusions
References
Recognition of Tennis Shots Using Convolutional Neural Networks Based on Three-Dimensional Data
1 Introduction
2 Literature Review
3 The Concept of the Convolutional Network
3.1 Inception Architecture
3.2 MobileNet Architecture
4 Tests
5 Results
6 Analysis of Results
7 Summary
References
On Unsupervised and Supervised Discretisation in Mining Stylometric Features
1 Introduction
2 Characteristics of Stylometric Features
3 Unsupervised and Supervised Discretisation
4 Conditions of Performed Experiments
4.1 Input Stylometric Data Sets
4.2 Classification Systems Used
4.3 Employed Discretisation Approaches
5 Discussion of Obtained Results
6 Conclusions
References
Bio-Data and Bio-Signal Analysis
LCR-BLAST-A New Modification of BLAST to Search for Similar Low Complexity Regions in Protein Sequences
1 Introduction
2 Methods
2.1 Default Parameters for Short Sequences
2.2 Composition Based Statistics
2.3 Identity Scoring Matrix
2.4 Mean Score
2.5 Workflow
3 Data Analysis and Results
3.1 Analyses of Differences Among Alignments
4 Conclusion
References
Risk Susceptibility of Brain Tumor Classification to Adversarial Attacks
1 Introduction
2 Methodology
3 The Data Set
4 Results and Discussion
5 Conclusion
References
Prediction of Drug Potency and Latent Relation Analysis in Precision Cancer Treatment
1 Introduction
2 Methodology
3 The Data Set
4 Results and Discussion
5 Analysis of Latent Relations Between Gene, Variant, Drug and Disease
6 Conclusion
References
Predictions of Age and Mood Based on Changes in Saccades Parameters
1 Introduction
2 Methods of the Experiment
3 Computational Basis
4 Results
5 Discussion and Conclusions
References
Algorithms and Optimization
Using Copula and Quantiles Evolution in Prediction of Multidimensional Distributions for Better Query Selectivity Estimation
1 Introduction
2 Theoretical Background
2.1 Copula in Selectivity Estimation for m-d Range Query
2.2 Quantile-Based Histogram
2.3 Applied Prediction Methods
3 The Proposed Method of Predicting Representation of m-d Distribution and Selectivity Estimation
4 Presenting the Method in Experimental Results
5 Conclusions
References
Audio-Visual TV Broadcast Signal Segmentation
1 Introduction
2 Audio-Visual Signal Segmentation
2.1 Audio Signal Segmentation
2.2 (Audio)Visual Signal Segmentation
3 Conclusion
References
Optimizing Training Data and Hyperparameters of Support Vector Machines Using a Memetic Algorithm
1 Introduction
2 Literature Review
3 Proposed Method
3.1 Chromosome Design
3.2 Fitness Calculation
4 Experiments and Discussion
4.1 Comparison to Random Search
4.2 Statistical Difference Test
4.3 Comparison to Other Classifiers
5 Conclusions
References
Induction of Centre-Based Biclusters in Terms of Boolean Reasoning
1 Introduction
2 Boolean Reasoning in Biclustering
3 Centre-Based Biclustering
3.1 Boolean Reasoning Formalization
3.2 Proofs
4 Case Study
5 Conclusions and Further Works
References
Issues on Performance of Reactive Programming in the Java Ecosystem with Persistent Data Sources
1 Introduction
2 Background
3 Reactive Programming in Spring WebFlux
4 Survey
4.1 Research Environment and Methods of Measurement
4.2 Measurement Methodology
4.3 Results
5 Summary
References
Author Index

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