Software engineering research, management and applications
Cham, Switzerland: Springer, [2022]
Online
Bibliografie, Sammelwerk, Elektronische Ressource
- 1 online resource (210 pages)
Ermittle Ausleihstatus...
Intro -- Foreword -- Preface -- Contents -- Contributors -- Examining the Factors that Influence Customers' Intention to Use Smartwatches in Malaysia Using UTAUT2 Model -- 1 Introduction -- 2 Literature Review -- 2.1 Smartwatches and Health Monitoring -- 2.2 Unified Theory of Acceptance and Use of Technology -- 3 Theoretical Framework and Development of Hypotheses -- 3.1 Performance Expectancy -- 3.2 Effort Expectancy -- 3.3 Social Influence -- 3.4 Facilitating Conditions -- 3.5 Hedonic Motivation -- 3.6 Price Value -- 3.7 Personal Innovativeness -- 3.8 Perceived Risk -- 3.9 Healthology -- 3.10 Moderating Effects -- 4 Methodology -- 4.1 Data Collection and Sampling -- 4.2 Measures -- 4.3 Data Analysis -- 5 Results -- 5.1 Assessment of Measurement Model -- 5.2 Assessment of Structural Model -- 5.3 Moderation Analysis -- 6 Discussion -- 7 Conclusions -- References -- Generating Adversarial Robust Defensive CAPTCHA (GARD-CAPTCHA) in Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Extracting Crucial Pixels for Adversarial Perturbations -- 3.1 Threat Model -- 3.2 Problem Formulation -- 3.3 Convolution and Pooling Operations in CNN -- 3.4 CAPTCHA Image Generation -- 4 Performance Evaluation -- 4.1 Methodology -- 4.2 Experimental Results -- 5 Discussion -- 6 Final Remarks -- References -- A Deep Learning Approach for Lantana Camara Weed Detection and Localization in the Natural Environment -- 1 Introduction -- 2 Related Work -- 3 The Deep Learning Approach -- 3.1 Data Acquisition and Processing -- 3.2 Object Detection -- 3.3 Anchor Box -- 3.4 Evaluation Metrics -- 4 Results -- 5 Conclusion -- References -- Modeling Concretizations in Software Design -- 1 Introduction -- 2 The Approach -- 3 Related Work -- 4 The Abstraction/Concretization Model -- 4.1 Concretizations and Configurations -- 4.2 Architectural Styles.
4.3 Design Principles -- 4.4 Concretization Levels -- 5 Concretization Example -- 6 Discussion -- 7 Conclusions -- References -- A Practical Style Guide and Templates Repository for Writing Effective Use Cases -- 1 Introduction -- 2 Related Work -- 2.1 Use Case Patterns -- 2.2 From Patterns to Style Guide and Templates -- 3 Use Case Specification Style Guide -- 3.1 Generic Use Case Specification Format -- 3.2 Use Case Naming -- 3.3 Actors -- 3.4 Trigger -- 3.5 Use Case Description -- 3.6 Action Steps -- 3.7 Extensions -- 3.8 Data Requirement in a Use Case -- 3.9 Business Rules -- 3.10 Related Use Cases -- 4 Scaffolding a Use Case with a Use Case Templates Repository -- 5 Case Study -- 6 Discussion -- 6.1 Results -- 6.2 Limitations -- 7 Conclusion and Future Work -- References -- Label Correction of Sound Data with Label Noise Using Self Organizing Map -- 1 Introduction -- 2 Related Work -- 2.1 Self-Organizing Map -- 2.2 DenseNet -- 2.3 Dataset -- 2.4 Environmental Sound Classification -- 3 Method -- 3.1 Label Centroids Based Correction -- 3.2 SOM Centroids, Distance Based Correction -- 3.3 SOM Centroids, Distance Ratio Based Correction -- 3.4 SOM Centroids Distance with Fixed Ratio Based Correction -- 4 Result and Discussion -- 5 Conclusion -- References -- Evaluation Method of Enterprise Cybersecurity -- 1 Introduction -- 2 Related Work -- 3 Cybersecurity Evaluation Index System -- 3.1 Index System Framework -- 3.2 Cybersecurity Assets and External Testing -- 3.3 Cybersecurity Management and Technology -- 4 Comprehensive Calculation -- 4.1 Index Weighting -- 4.2 Index Synthesis -- 5 Implementation and Experiment -- 5.1 Index Weighting -- 5.2 Experimental Results -- 6 Discussion -- 7 Conclusion -- References -- A Multi-model Multi-task Learning System for Hurricane Genesis Prediction -- 1 Introduction -- 2 Related Works -- 3 Problem Definition.
4 Our Proposed Multi-model Multi-task System -- 4.1 LSTM Models -- 4.2 Multitask Learning -- 4.3 Ensemble Model -- 4.4 Multi-model Multi-task System -- 5 Performance Evaluation -- 5.1 Implementation -- 5.2 Datasets -- 5.3 Feature Engineering -- 5.4 Look-Back Window -- 5.5 Weak Learners -- 5.6 Discussion of Results -- 6 Conclusions -- References -- Development of Autonomous Driving Adaptive Simulation System Using Deep Learning Process Model -- 1 Introduction -- 2 Background of the Study -- 3 Design of Lane Vehicle Detection Applying Deep Learning Model Improve Yolov3 -- 3.1 System Architecture -- 3.2 Development of Deep Learning model Yolov3 Detection Network -- 3.3 Proposal Design of Improved Yolov3 Object Detection -- 4 System Design of Vision Vehicle Detection Test Bench Adaptive Highway Lane Following Test Bench/Simulation 3D Scenario -- 4.1 Vision Vehicle Detector -- 4.2 Lane Following Controller -- 4.3 Proposed Calculation Method of the Bounding Box -- 4.4 Experimental Environment -- 5 Experimental and Simulation Result -- 5.1 Experiment Result of Improved Yolov3 -- 5.2 System Experimental Results -- 5.3 Experiment Result of Improved Yolov3 -- 6 Evaluation -- 6.1 Execution Environment -- 6.2 Proposed Algorithm Performance -- 6.3 Discussion -- 7 Conclusion and Future Work -- References -- An OCL Implementation for Model-Driven Engineering of C++ -- 1 Introduction -- 2 MDE4CPP Project Fundamentals -- 3 Method -- 3.1 Model-Driven OCL Constraint Checker Development for C++ -- 3.2 Selected Implementation Details -- 4 OCL4CPP Library Application -- 4.1 Simple Ecore- or UML-Based Applications -- 4.2 Model-Driven Development of Ecore- or UML-Based Applications -- 4.3 Model-Driven Development of fUML- and OCL-Based Applications -- 5 Validation and Evaluation -- 5.1 Test Cases -- 5.2 First Performance Evaluations.
5.3 fUML- and OCL-Based Application Example -- 6 Conclusion -- References -- Improving Students' Readiness Toward the Labor Market Through Customized Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Related Standards -- 3 Proposed Student E-learning System -- 3.1 Collect Learning Materials -- 3.2 Extract Required Skills from Job Postings -- 3.3 Construct Learning Path -- 3.4 Create Learning Material -- 3.5 Construct Customized Learning Path -- 4 Conclusion -- References -- Assessing Software Fault Risk with Machine Learning -- 1 Introduction -- 2 Discussion -- 3 Approach -- 4 Evaluation -- 5 Related Work -- 6 Conclusions and Future Work -- References -- Author Index.
Titel: |
Software engineering research, management and applications
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Verantwortlichkeitsangabe: | edited by Roger Lee |
Autor/in / Beteiligte Person: | Lee, R. Y. [editor.] |
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Verwandtes Werk: | |
Veröffentlichung: | Cham, Switzerland: Springer, [2022] |
Medientyp: | Bibliografie, Sammelwerk |
Datenträgertyp: | Elektronische Ressource |
Umfang: | 1 online resource (210 pages) |
ISBN: | 3-031-09145-0 |
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