Anmerkung: Intro -- 00_Preface -- 01-1S_Song_of_Mount_Ali -- 01-2Song_of_Moun_Ali -- 02-1S_Kangding_Love_Song -- 02-2Kangding_Love_Song -- 03-1S_Jasmine_Flower -- 03-Jasmine_Flower (1) -- 04-1S_In_That_Distant_Place -- 04-In_That_Distant_Place -- 05-1S_Tangyuan_for_Sale -- 05-Tangyuan_for_Sale -- 06-1S_Sweet_Like_Honey -- 06-Sweet_Like_Honey -- 07-1S_The_Girl_of_Daban_City -- 07-The_Girl_of_Daban_City -- 08-1S_Little_Blade_of_Grass -- 08-Little_Blade_of_Grass -- 09-1S_The_Great_Sea_My_Homeland -- 09-The_Great_Sea_My_Homeland -- 10-1S_Where_is_Spring -- 10-Where_is_Spring (1) -- 11-1S_Longing -- 11-Longing (1) -- 12-1S_Please_Lift_Your_Veil -- 12-Please_Lift_Your_Veil (1) -- 13-1S_Path_in_the_Forest -- 13-Path_in_the_Forest (1) -- 14-1S_Wishing_You_Peace -- 14-Wishing_You_Peace (1) -- 15-1S_Song_and_Smile -- 15-Song_of_Smile -- 16-1S_Dating_at_the_Aobao_Terrace -- 16-Dating_at_the_Aobao_Terrace (1) -- 17-1S_Where_Is_the_Way -- 17-Where_is_the_Way (1) -- 18-1S_Return_Home_Often -- 18-Return_Home_Often (1) -- 19-1S_Candied_Haws -- 19-Candied_Haws (1) -- 20-1S_Husband_and_Wife_Return_Home_in_Pairs -- 20-Husband_and_Wife_Return_Home_in_Pairs (1) -- 21-1S_If_the_Mountain_Does_Not_Turn_the_Water_Will -- 21-If_the_Mountain_Does_not_Tuen_the_Water_will -- 22-1S_Rowing_the_Big_Boat_Together -- 22-Rowing_the_Big_Boat_Together (1) -- 23-1S_Wedding_Vow -- 23-Wedding_Vow (1) -- 24-1S_Boys_Don't_Guess_What's_on_a_Girl's_Mind -- 24-Boys_Don't_Guess_What's_on_Girl's_Mind -- 25-1S_My_Deskmate -- 25-My_Deskmate (1) -- 26-1S_The_Same_Song -- 26-The_Same_Song (1) -- 27-1S_The_Coolest_National_Style -- 27-The_Coolest_National_Style (2) -- 28-1S_Chinese_Gongfu -- 28-Chinese_Gongfu (1) -- 29-1S_New_Year_Wishes -- 29-New_Year_Wishes (1) -- 30-1S_Chinese_Language -- 30-Chinese_Language (2) -- 31_Index -- 32_About_the_Authors -- Blank Page -- Blank Page.

Anmerkung: Intro -- Supervisor's Foreword I -- Supervisor's Foreword II -- Acknowledgments -- Contents -- 1 An Introduction to Disk Evolution of Dwarf Galaxies -- 1.1 Dwarf Irregular Galaxies -- 1.2 Star Formation in Dwarf Irregular Galaxies -- 1.3 Star Formation Histories of Dwarf Irregular Galaxies -- 1.3.1 The Technique: Evolutionary Population Synthesis -- 1.4 Evolution of Galactic Disk: Spirals Versus dIrrs -- 1.5 Turbulence, Power Spectra and Multiphase Neutral Hi -- 1.5.1 The ISM Turbulence and Power Spectra -- 1.5.2 Velocity Channel Analysis and Cold Hi in dIrr Galaxies -- 1.6 Dwarf Galaxies in a ΛCDM Cosmological Context -- References -- 2 Stellar Disk Evolution of Nearby Dwarf Galaxies -- 2.1 The Sample -- 2.1.1 Parent Sample of LITTLE THINGS -- 2.1.2 LITTLE THINGS: A Representative Sample of Nearby Dwarf Irregular Galaxies -- 2.1.3 A Subsample of LITTLE THINGS for Studying the Stellar Disk Evolution -- 2.2 Data -- 2.2.1 GALEX FUV/NUV -- 2.2.2 Optical UBV -- 2.2.3 Narrow-Band Hα Imaging -- 2.2.4 Spitzer 3.6μm -- 2.3 Surface Photometry -- 2.4 Multi-wavelength Surface Brightness Profiles -- 2.5 SED Modeling Technique -- 2.5.1 Creating a Library of Star Formation Histories -- 2.5.2 Determining the Physical Parameters -- 2.5.3 Correcting the GALEX NUV Data for Galactic Extinction -- 2.5.4 Testing the SED Modeling Techinque on Mock Dataset -- 2.6 Results of SED Modeling to Our Sample Galaxies -- 2.6.1 Integrated SED-Based Versus Stellar CMD-Based SF Histories -- 2.6.2 Globally Integrated SF Histories -- 2.6.3 Azimuthally Averaged Radial Star Formation Histories -- 2.6.4 Stellar Mass Surface Density Profiles -- 2.7 Discussions -- 2.7.1 The Disk Assembly Mode of dIrr Galaxies: Outside-In -- 2.7.2 The Relationship Between ΣSFR, Σ and Star Formation History -- 2.8 Summary -- References -- 3 Gaseous Disk Turbulence of Nearby Dwarf Irregular Galaxies. , 3.1 Sample and Observing -- 3.2 Data Reduction -- 3.3 Power Spectrum Variations with Channel Width -- 3.4 Comparison with a Visibility-Based Estimation of Power Spectra -- 3.5 Effective Velocity Slice Width and Multiphase Neutral Hi -- 3.6 Power Spectral Index Versus SF -- 3.7 Power Spectral Index Versus Baryonic Mass -- 3.8 The Turbulent Velocity Field -- 3.9 Summary -- References -- 4 Blue Compact Dwarf Galaxies Formed Through Gravitational Torques -- 4.1 The Context: ``BCD'' as an Extreme Version of Dwarf Irregulars -- 4.2 Clump Accretion in BCDs -- 4.2.1 The Case with a Few Giant Clumps -- 4.2.2 Clumps with a Power Law Mass Function -- 4.2.3 Clump--Clump Interactions -- 4.3 Observations of Clump Properties in Dwarf Irregulars and BCD Galaxies -- 4.3.1 Clump Mass Fractions and Accretion Times -- 4.3.2 Galaxy Thickness and Scale Length Ratios -- 4.4 Summary -- References -- 5 Summary -- 5.1 Main Findings of This Thesis Work -- 5.2 Recent Development in the Literature -- 5.2.1 Observational Studies -- 5.2.2 Theories and Numerical Simulations -- 5.3 Closing Remarks -- References -- Appendix A Starburst Triggering Process in ``Giant'' Irregular Galaxies: Spiral--Spiral Merger -- A.1 Introduction -- A.2 Data and Photometry -- A.2.1 Data -- A.2.2 Region Selection and Photometry Extraction -- A.3 Broadband SEDs -- A.4 Stellar Population Analysis -- A.4.1 Methodology -- A.4.2 Results of SED-Fitting -- A.4.2.1 Best-Fit Parameters -- A.4.2.2 Star-Forming Regions of Arp 244 on the IRX-UV Plane -- A.4.2.3 Emission Excess at IRAC 3.6 and 4.5m -- A.5 Discussion -- A.5.1 Star Formation Histories Across the Whole System -- A.5.2 The 20 cm-to-CO Ratio Map as Star Formation Efficiency Map -- A.5.3 Sequential Star Formation Paths in the Overlap Regions -- A.6 Summary -- References.

Anmerkung: Intro -- Preface -- Organizing Committee -- Honorary Chairs -- Advisory Committee Chair -- Conference Chairs -- Program Chairs -- Publication Chairs -- Local Organization Chairs -- Finance Chairs -- Program Committees -- Contents -- Complex Network Control -- Truncation Error Correction for Dynamic Matrix Control Based on RBF Neural Network -- Abstract -- 1 Introduction -- 2 Dynamic Matrix Control Algorithm -- 3 Truncation Error Correction Based on Neural Network -- 3.1 Analysis of Truncation Error -- 3.2 Radial Basis Function Neural Network (RBF) Modeling -- 4 The Simulation Analysis -- 5 Conclusion -- Acknowledgements -- References -- Research on Temperature Compensation Technology of Micro-Electro-Mechanical Systems Gyroscope in Strap-Down Inertial Measurement Unit -- Abstract -- 1 Introduction -- 2 Error Analysis of MEMS Gyroscope -- 3 MEMS Gyroscope Temperature Drift Modeling Compensation -- 4 Experimental Results and Analysis -- 5 Conclusion -- Acknowledgements -- References -- A Network Security Situation Awareness Model Based on Risk Assessment -- Abstract -- 1 Introduction -- 2 Related Works and Motivation -- 3 Modeling of RA-NSSA -- 3.1 Function of Perception Level -- 3.2 Function of Comprehension Level -- 3.3 Function of Projection Level -- 4 Implementation Example -- 5 Conclusion -- Acknowledgement -- References -- An Algorithm of Crowdsourcing Answer Integration Based on Specialty Categories of Workers -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Crowdsourcing Answer Integration Based on Specialty Categories of Workers -- 3.1 Task Difficulty -- 3.2 Answer Accuracy -- 3.3 Detecting Specialty Categories of Workers -- 3.4 Specialized Accuracy -- 3.5 Algorithm Steps -- 4 Experimental Analysis -- 4.1 Dataset -- 4.2 Parameter Sensitivity Analysis -- 4.2.1 \mu -- 4.2.2 \varepsilon -- 4.3 Algorithm Accuracy Comparison. , 4.4 Algorithm Operation Efficiency Evaluation -- 5 Conclusions -- Acknowledgements -- References -- A Dynamic Load Balancing Strategy Based on HAProxy and TCP Long Connection Multiplexing Technology -- Abstract -- 1 Introduction -- 2 Data Storage Module -- 3 TCP Long Connection Multiplexing Technology -- 3.1 TCP Protocol -- 3.2 TCP Long Connection Multiplexing Technology -- 4 Dynamic Load Balancing Strategy -- 4.1 Load Information Quantification -- 4.2 Processing Capacity Quantification -- 4.3 Comprehensive Quantitative Index of Server -- 5 Experimental Analysis -- 6 Conclusion -- Acknowledgements -- References -- An Improved LBG Algorithm for User Clustering in Ultra-Dense Network -- Abstract -- 1 Introduction -- 2 User Clustering Algorithms -- 2.1 Interference Weight Design -- 2.2 Improved LBG Algorithm in Clustering -- 3 Simulation and Analysis -- 4 Conclusion -- Acknowledgement -- References -- Quadrotors Finite-Time Formation by Nonsingular Terminal Sliding Mode Control with a High-Gain Observer -- Abstract -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Graph Theory -- 2.2 Problem Formulation -- 3 Main Results -- 3.1 Relative Velocity Measurement -- 3.2 NTSM Control of Position Subsystem -- 3.3 NTSM Control of Attitude Subsystem -- 3.4 Stability Analysis -- 4 Simulation Results -- 5 Conclusion -- Acknowledgments -- References -- Flight Control of Tilt Rotor UAV During Transition Mode Based on Finite-Time Control Theory -- Abstract -- 1 Introduction -- 2 Model of a Tilt Rotor UAV -- 3 Transition Flight Control -- 3.1 Control Strategies -- 3.2 Non-singular Terminal Sliding Mode Control Law Based on ESO -- 3.3 Control Allocation -- 4 Simulation and Analysis -- 5 Conclusion -- Acknowledgments -- References -- Energizing Topics and Applications in Computer Sciences. , A Minimum Spanning Tree Algorithm Based on Fuzzy Weighted Distance -- Abstract -- 1 Introduction -- 1.1 Minimum Spanning Tree (MST) -- 1.2 Indeterminacy -- 2 Related Work -- 2.1 The Basic Concepts of the Indeterminacy Tet -- 2.2 Traditional Clustering Algorithm Based on MST -- 3 MST Clustering Algorithm Based on Fuzzy Weighted Distance (FWMSTClust) -- 3.1 Fuzzy Weighted Distance Metric Based on Indeterminacy Set -- 3.2 The Improved MST Clustering Algorithm in This Paper -- 4 Experimental Analysis -- 5 Conclusion -- Acknowledgement -- References -- Cuckoo Search Algorithm Based on Stochastic Gradient Descent -- Abstract -- 1 Introduction -- 2 Cuckoo Search -- 3 Cuckoo Search Algorithm Based on Stochastic Gradient Descent -- 4 Experiment Results and Analysis -- 5 Conclusions -- Acknowledgement -- References -- Chaotic Time Series Prediction Method Based on BP Neural Network and Extended Kalman Filter -- Abstract -- 1 Introduction -- 2 BP Neural Network Structure -- 3 Extended Kalman Filtering Method -- 3.1 Nonlinear Model Linearization -- 3.2 Mathematical Calculation of the Extended Kalman Filter Algorithm -- 4 Mathematical Models and Experimental Results of Chaotic Time Series Prediction -- 4.1 Mathematical Model of Chaotic Time Series Prediction -- 4.2 Simulation Results of Chaotic Time Series Prediction -- 5 Conclusion -- Acknowledgement -- References -- Machine Learning Techniques for Single-Line-to-Ground Fault Classification in Nonintrusive Fault Detection of Extra High-Voltage Transmission Network Systems -- Abstract -- 1 Introduction -- 2 Proposed Methods -- 2.1 Power-Spectrum-Based Hyperbolic S-Transform -- 2.2 BP-ANN -- 2.3 SVM -- 2.4 k-NN -- 3 Simulations and Results -- 3.1 Environment -- 3.2 Results -- 4 Conclusion -- Acknowledgement -- References -- Crime Prediction of Bicycle Theft Based on Online Search Data -- Abstract -- 1 Introduction. , 2 Related Literature -- 3 Temporal Pattern of Bicycle Theft Crime -- 4 The Correlation Between Related Factors and Bicycle Theft Crime -- 5 Multiple Linear Regression Analysis of the Number of Theft Cases -- 6 Conclusions -- Acknowledgement -- References -- Parametric Method for Improving Stability of Electric Power Systems -- Abstract -- 1 Introduction -- 2 Design Principle of Robust Parametric Method -- 2.1 Parametric Expression of Control Laws -- 2.2 Improvement of the Objective Function -- 2.3 Poles Assignment Based on the Damping Ratio -- 3 Application of Robust Control in Excitation Control -- 3.1 Mathematical Model of the Excitation System -- 3.2 Simulation and Design of Excitation Controller for a Single Machine Infinite System -- 4 Conclusions -- Acknowledgements -- References -- Application of Emergency Communication Technology in Marine Seismic Detection -- Abstract -- 1 Introduction -- 2 Mission Target -- 3 Demand Analysis -- 4 Mission Solution -- 5 Task Implementation -- 6 Conclusion -- Acknowledgement -- References -- Electrical Energy Prediction with Regression-Oriented Models -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Experimental Method and Results -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Regression Models for Energy Prediction -- 3.4 Model Evaluation and Results -- 4 Conclusion -- Acknowledgment -- References -- A Strategy of Deploying Constant Number Relay Node for Wireless Sensor Network -- 1 Introduction -- 2 Related Works -- 3 Deploying Relay Nodes Process -- 4 Experimental Results -- 5 Conclusion -- References -- Noise-Robust Speech Recognition Based on LPMCC Feature and RBF Neural Network -- Abstract -- 1 Introduction -- 2 RBF Neural Network Training Algorithm -- 2.1 Clustering Algorithm -- 2.2 Entire-Supervised Training Algorithm Clustering Algorithm -- 3 Experimental Results -- 3.1 Speech Data. , 3.2 Network Training -- 3.3 Network Recognition -- 3.4 Results and Conclusions -- References -- Research on Web Service Selection Based on User Preference -- Abstract -- 1 Introduction -- 2 Determination of Weight -- 2.1 G1 Method and Steps -- 2.2 Fuzzy Number Improvement G1 Method -- 2.3 Objective QoS Weight -- 2.4 Comprehensive QoS Weight Calculation -- 3 The Improved TOPSIS to Select Services -- 4 Experimental Analysis -- 4.1 Simulation Experiment -- 4.2 Experimental Analysis -- 5 Conclusion -- Acknowledgments -- References -- Discovery of Key Production Nodes in Multi-objective Job Shop Based on Entropy Weight Fuzzy Comprehensive Evaluation -- Abstract -- 1 Introduction -- 2 Multi-objective Job Shop Complex Networks Model -- 2.1 Data Preprocessing -- 2.2 The Establishment of Complex Networks Model -- 3 Entropy Weight Fuzzy Comprehensive Evaluation Method -- 3.1 Complex Networks Key Nodes Evaluation Index -- 3.2 Determine the Weight of the Index -- 3.3 Entropy Weight Method Correction -- 4 Simulation Experiment Analysis -- 4.1 Complex Networks Model -- 4.2 Simulation Experiment -- 5 Summary -- Acknowledgments -- References -- A Data Fusion Algorithm Based on Clustering Evidence Theory -- Abstract -- 1 Introduction -- 2 Data Fusion Algorithm -- 2.1 Clustering Algorithm -- 2.2 The Basic Idea of Evidence Theory -- 2.3 Algorithm Description -- 3 Experimental Simulation -- 4 Conclusion -- Acknowledgements -- References -- Low-Illumination Color Image Enhancement Using Intuitionistic Fuzzy Sets -- Abstract -- 1 Introduction -- 2 HSV Color Space Model -- 3 Intuitionistic Fuzzy Set Enhancement Algorithm -- 3.1 Intuitionistic Fuzzy Set Algorithm -- 3.2 Selection of Threshold -- 3.3 Fuzzy Domain Image Processing -- 4 Intuitionistic Fuzzy Set Enhancement Algorithm Based on HSV Color Model -- 5 Experimental Results and Analysis -- 6 Conclusion. , Acknowledgements.