Fundamentals of Deep Learning and Computer Vision

Name: Fundamentals of Deep Learning and Computer Vision | A Complete Guide to become an Expert in Deep Learning and Computer Vision
Brand: De Gruyter
Price: 14.49 EUR
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A Complete Guide to become an Expert in Deep Learning and Computer Vision

Nikhil Singh Paras Ahuja(Author)

De Gruyter (Publisher)

1st Edition

Published on 9. March 2020

181 pages

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978-93-88176-61-3 (ISBN)

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Content

Cover Page
Title Page
Copyright Page
About the Authors
Acknowledgements
Preface
Errata
Table of Contents
1. Service Oriented Architecture - An Introduction
Structure
Objectives
Chapter Outline
1.1 Introduction
1.2 Evolution of Distributed System Technologies
1.3 Getting Started with SOA
1.3.1 Vision of SOA
1.3.2 Role of SOA in organizations
1.3.3 SOA - Design Strategy and Architecture
1.3.4 SOA benefits and promises
1.3.5 SOA Challenges
1.4 Scope of Service Based Systems in India
1.5 Research Methodology for SOA based systems
1.6 Summary
Questions
Key Terms
References
2. Review of Service Oriented Systems
Structure
Chapter Outline
2.1 Introduction
2.2 Impact of Service Oriented System - Survey
2.2.1 Review of existing work in SOA based systems
2.2.2 Review of existing work in evaluating SOA based system
2.2.3 Review of Existing Work in Estimating Reliability of SOA Based Systems
2.3 Understanding enterprise resource planning system - SOA Context
2.3.1 ERP Vendors
2.3.2 Objectives of an ERP
2.3.3 Enterprise Resource Planning Modules
2.4 Understanding customer relationship management - SOA Context
2.4.1 CRM Vendors
2.4.2 CRM Objectives
2.4.3 CRM Modules
2.5 Understanding supply chain management - SOA Context
2.5.1 Integration and interoperability among business values chain activities
2.6 Summary
Questions
Key Terms
References
3. Research Methodologies
Objectives
Chapter Outline
3.1 Introduction
3.2 Research methods
3.2.1 Interviews
3.2.2 Survey Questionnaire
3.2.3 Goal Question Metric Method
3.2.4 Hypothesis Method
3.2.5 Fuzzy Inference System (for reliability estimation)
3.2.6 Fuzzy TOPSIS method (for optimal service composition)
3.2.7 Factor Rating Method
3.3 Questionnaire
3.3.1 Designing Questionnaire
3.3.1.1 Defining clear objective of study
3.3.1.2 Identify a suitable title for a questionnaire
3.3.1.3 Selecting the questionnaire format
3.3.2 Distribution of Question Type in the Questionnaire
3.3.3 Conduct of Survey - Questionnaire Administration
3.4 Data Collection
3.4.1 Secondary Data Collection
3.4.2 Primary Data Collection
3.5 Pilot Test
3.5.1 Period of the Study
3.5.2 Sample Scheme
3.6 Summary
Questions
References
4. Design and Implementation of a SOA Model - A Case Study
Structure
Objectives
Chapter Outline
4.1 Introduction
4.2 Framework for the SOA based Model
4.2.1 Web Service Description Language Structure
4.2.2 Service Design for Model
4.2.2.1 Service Delivery Life Cycle
4.2.2.2 Service Design Guidelines
4.2.3 SOA Layered Architecture
4.2.4 Base Design for SOA Model
4.2.4.1 Service Integration in Proposed Model
4.2.4.2 Layered View of Proposed Model
4.2.4.3 Prospective Implementation of each Layers in Proposed Model
4.2.5 Enterprise Service Bus for the proposed model
4.2.6 Architectural view of proposed Integrated Model
4.2.7 Framework implementation
4.2.7.1 Service Orchestration
4.3 Unified Modeling of proposed integrated model
4.3.1 Unified modeling language
4.3.2 Use Case
4.3.2.1 Class diagrams for customer relationship management
4.3.2.2 Class Diagrams Supply Chain Management
4.3.3 Analysis and modeling of business processes in retail system using UML
4.3.3.1 Use Case Analysis
4.3.3.2 Model for Procurement Management
4.3.3.3 Class diagram for retailer system
4.3.3.4 Transaction Sequence of Goods Purchase
4.3.3.5 Transaction sequence of source goods
4.3.3.6 Transaction sequence of replenish stocks
4.4 Summary
Questions
References
5. Study of the inhibiting and success factors in SOA design and implementation
Structure
Objectives
Chapter Outline
5.1 Introduction
5.2 Approaches to SOA implementation
5.2.1 Experiments and results to identify the implementation factors and approaches
5.2.2 Identification of implementation approaches
5.2.3 Identification of Implementation Factors
5.3 SOA Aspects
5.3.1 Governance
5.3.2 Service Granularity
5.4 Critical Success Factors
5.4.1 Aspects of CSFs
5.4.2 CSF in SOA Context
5.5 Summary
Questions
Key Terms
References
6. Testing of Service Based Model
Structure
Objectives
Chapter Outline
6.1 Introduction
6.2 Experimental Evaluation for Reliability of System
6.2.1 Reliability parameters for SOA-Based systems with its constituent factors
6.2.2 Fuzzy Rule-Based reliability algorithm
6.2.2.1 Designing a Rule Base for the Fuzzy Inference Engine
6.2.2.2 Membership Functions for Input Parameters and Output Parameters
6.2.2.3 Output Computation of the Model
6.2.2.4 Defuzzification
6.2.3 Adaptive Neuro Fuzzy Inference System Approach
6.2.4 Results and Discussion
6.3 Experimental Evaluation of Optimal Service Composition within a System
6.3.1 Fuzzy technique for order performance by similarity to ideal solution - Fuzzy TOPSIS
6.3.1.1 Linguistic Variables and Fuzzy Rating
6.3.1.2 The distance between fuzzy triangular numbers
6.3.2 Fuzzy TOPSIS algorithm for optimal selection
6.3.3 Algorithm Implementation on a Case Study
6.3.4 Results and discussion
6.4 Experimental evaluations of performance of proposed system
6.4.1 Factor Rating Method
6.4.2 Results and Discussion
6.5 Evaluation of Hypothesis
6.5.1 T-Test - Analysis and Interpretation
6.5.2 Results and Discussion
6.6 Summary
Questions
Key Terms
References

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Fundamentals of Deep Learning and Computer Vision

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