Intro; Preface; ISDA 2017 Organization; General Chairs; Program Committee Co-chairs; Advisory Board; Publication Chairs; Local Organizing Committee; Local Organizing Committee Members; Web Service; International Program Committee; Additional Reviewers; Contents; Enhancing Job Opportunities in Rural India Through Constrained Cognitive Learning Process: Reforming ...; Abstract; 1 Introduction; 2 Background; 3 Constrained Cognitive Learning Scheme; 3.1 Issues; 3.2 Research Questions; 3.3 Methodology; 4 Implementation: Data Collection and Analysis; 4.1 Data Collection; 4.2 Analysis

4.3 Research Findings5 Future Research Directions; 6 Conclusion; References; UML2ADA for Early Verification of Concurrency Inside the UML2.0 Atomic Components; Abstract; 1 Introduction; 2 Related Work; 3 Retained Models; 3.1 UML2.0/PSM Component Model; 3.2 Ada Concurrent Language; 4 Translation of UML2.0/PSM into ADA; 4.1 Static View Translation; 4.2 Behavioral View Transition; 5 Validation on a Video-Camera Component; 6 Conclusion; References; A New Approach for the Diagnosis of Parkinson's Disease Using a Similarity Feature Extractor; 1 Introduction

2 Diagnosis of Parkinson's Disease Through Handwriting Exams3 Methodology; 4 Results; 5 Conclusion; References; A Novel Restart Strategy for Solving Complex Multi-modal Optimization Problems Using Real-Coded Gene ...; Abstract; 1 Introduction; 2 Literature Survey; 3 Developed Restart Strategy; 4 Results and Discussion; 4.1 Parameters' Settings; 5 Conclusions; References; Evaluating SPL Quality with Metrics; Abstract; 1 Introduction; 2 Overview of SPL Quality Evaluation Approaches; 3 Metrics for Evaluating SPL Quality; 3.1 Useful Existing Syntactic Metrics; 3.2 SPL New Metrics

4 Descriptive Analysis of the Metrics Values5 Evaluation; 6 Conclusion; References; Using Sentence Similarity Measure for Plagiarism Detection of Arabic Documents; 1 Introduction; 2 Related Work; 3 Characteristics of Arabic Language; 4 Our Plagiarism Detection Approach; 4.1 Sentence Similarity Measure; 4.2 Sentence to Document Similarity; 4.3 Document Similarity; 5 Experimental Results; 5.1 The Data Set; 5.2 Performance Evaluation; 6 Conclusion; References; Computer Aided Recognition and Classification of Coats of Arms; Abstract; 1 Introduction; 2 Heraldry

3 Design of Decomposition System of Family Coats of Arms4 Implementation; 4.1 Detector of Shields; 4.2 Segmentation of Components with Distinguishable Shape; 4.3 Segmentation of Crest and Mantling; 5 Verification of Functionality; 5.1 Verification of Functionality of the Shields Detector; 5.2 Segmentation of the Components with Distinguishable Shape Using the FCN-8s Network; 5.3 Segmentation of the Crest and Mantling Using the Active Contours; 6 Experiments; 7 Conclusion and Future Work; Acknowledgements; References