Software Engineering, Artificial Intelligence, Networking and Parallel Distributed Computing 2010

Introduction......Page 1
Background on Morphological Shape Decomposition......Page 3
Scale Invariant Structure Extraction......Page 5
Graph Energy Based Noise Deletion......Page 6
Experiment......Page 7
References......Page 9
Introduction......Page 11
Artificial Neural Network Model......Page 12
Proposed Normalization of Data......Page 14
Data Used in Evaluation Experiment......Page 17
Results and Discussion......Page 18
Conclusion......Page 20
References......Page 21
Introduction......Page 22
Model-Driven Development......Page 23
Textual Use-Cases......Page 24
Transformation Pipeline......Page 26
Core: From Procases to Components......Page 28
Back-End: From Model to Application......Page 31
Natural Language Processing......Page 32
Controlled Languages......Page 33
References......Page 34
Introduction......Page 37
The CBR Cycle......Page 38
Case Base Maintenance Policies......Page 39
CBM Optimization......Page 40
Clustering, Ouliers and Internal Cases Detection (COID) Method......Page 41
Clustering Cases......Page 43
Selecting the Important Cases: Outliers and Internal Cases......Page 44
Experimental Results......Page 46
Conclusion and Futures Works......Page 48
References......Page 49
Introduction......Page 51
Scalable Broadcast Algorithm (SBA)......Page 53
Analysis of Network Conditions on Broadcasting Schemes......Page 54
Congestion Analysis of Existing Broadcasting Schemes......Page 55
Analysis of Node Density on Existing Broadcasting Schemes......Page 56
Proposed Extensions to SBA......Page 57
Congestion-Adaptive SBA (CASBA)......Page 58
Density Adaptive SBA (DASBA)......Page 63
References......Page 65
Introduction......Page 66
Self-organizing Maps......Page 68
Support Vector Machines......Page 69
The CSVAC Algorithm......Page 71
Design Strategy......Page 72
System Components and Implementation......Page 73
Evaluation Data Set......Page 75
Comparison of SVM, ACO, and CSVAC......Page 76
Conclusion......Page 78
References......Page 79
Introduction......Page 81
The Model......Page 83
Threshold Based Rules......Page 85
Evolution Strategies......Page 86
General Tendencies......Page 88
Evolutionary Optimisation......Page 91
Conclusions and Outlook......Page 93
References......Page 94
Introduction......Page 95
Background and Related Work......Page 97
Preliminaries......Page 99
HUS-Tree Construction......Page 100
Mining Process......Page 102
Experimental Results......Page 103
Runtime Efficiency of the HUPMS Algorithm......Page 104
Effect of Window Size Variation......Page 106
Memory Efficiency of the HUPMS Algorithm......Page 107
References......Page 108
Sluicing......Page 110
Resolving Ellipses in Sluicing......Page 111
Sluicing in Urdu......Page 112
Algorithm......Page 116
Evaluation and Error Analysis......Page 117
References......Page 118
Appendix......Page 119
Introduction......Page 122
Background and Review of Literature......Page 123
Methods......Page 126
Algorithm......Page 128
Results......Page 129
Further Study......Page 130
References......Page 131
Introduction......Page 133
Related Work......Page 134
Collaborative Filtering......Page 135
Framework Architecture......Page 136
Experimental Results......Page 139
References......Page 142
Introduction......Page 144
Previous Work......Page 145
MeSH Thesaurus......Page 146
Pretreatment......Page 147
Concept Extraction......Page 148
Generation of the Semantic Core of Document......Page 149
Test Corpus......Page 150
Evaluation and Comparison......Page 151
References......Page 153