Mathematics and computing. 4 conf., ICMC 2018, India, Revised selected papers

✍ Scribed by Ghosh D (ed.)

• Publisher: Springer
• Year: 2018
• Tongue: English
• Leaves: 338
• Category: Library

✦ Table of Contents

Message from the General Chairs......Page 6
Message from the Program Chairs......Page 7
Preface......Page 8
Organization......Page 10
Contents......Page 15
Security and Coding Theory......Page 18
1 Introduction......Page 19
2.1 Basics of Cellular Automata......Page 20
2.2 Cryptographic Terms and Primitives......Page 21
2.3 Meier and Staffelbach Attack (MS Attack)......Page 22
3.2 Cryptographic Properties of Non-linear Rules......Page 23
3.3 Vulnerability Against MS Attack......Page 24
4 M-NHCA with Multiple Nonlinearity Injections......Page 25
4.2 Diffusion and Randomness Properties......Page 26
4.3 Resistance Against MS Attack......Page 27
4.4 Comparison with Rule 30 CA......Page 29
References......Page 30
1 Introduction......Page 32
2.1 Steganography Kha:Kam,Mai:Bak......Page 33
2.3 Hexagonal Tiles and Scenarios......Page 34
2.4 Hexagonal Finite Interactive System (HFIS)......Page 35
3.1 Context Sensitive Classes/States (CSC/CSS) Replacement Technique......Page 36
3.3 Implementation of Context Sensitive Steganography......Page 38
References......Page 41
1 Introduction......Page 43
3 Proposed Method......Page 44
3.2 Extraction Phase......Page 46
4 Experimental Results and Comparisons......Page 47
6 Conclusion......Page 50
References......Page 51
1 Introduction......Page 52
2 Non Binary Repeated Burst Error Correcting Linear Codes......Page 54
4 Generalization of the Parity Check Matrix for (5k, k; b, q, m) Linear Codes for All Values of q......Page 55
5 Discussion......Page 56
References......Page 57
1 Introduction......Page 58
2 Some Preliminary Results......Page 60
3 Settling the Unsolved Cases in Theorems 1 and 2......Page 61
4 A New Proof of Theorems 1 and 2......Page 65
References......Page 66
Computing......Page 67
1 Introduction......Page 68
2 Related Work......Page 69
3 Proposed Work......Page 70
4 Experimental Results......Page 72
References......Page 74
1 Introduction......Page 76
2.2 Data Representation......Page 78
2.3 Feature Extraction......Page 80
3.2 Feature Selection......Page 83
3.3 Recognition Performance......Page 84
4 Conclusion......Page 85
References......Page 86
1 Introduction......Page 89
1.2 Scene Analysis......Page 90
2.1 Framework......Page 92
3 Comparative Study......Page 93
References......Page 97
1.1 Background......Page 99
1.2 Literature Review......Page 100
1.3 Major Contribution......Page 101
2 Dual-Tree Complex Wavelet Transforms (DT-CWT)......Page 102
3 Proposed CBIR Scheme......Page 103
4 Results and Performance Analysis......Page 106
4.2 Time Performance Analysis......Page 107
4.3 Retrieval Performance Analysis......Page 108
4.4 Performance Comparison......Page 109
References......Page 110
1 Introduction......Page 112
2 Preliminaries and Related Results......Page 113
3 All Pairs Approximate Parameterized String Matching......Page 115
4 Experimental Results......Page 120
References......Page 122
1 Introduction......Page 125
2 Preliminaries......Page 126
3 Construction of Any Spanning Tree of Gn from a Spanning Tree of Gn......Page 128
References......Page 132
1 Introduction......Page 133
2.1 Neural Networks......Page 135
2.2 Convolutional Neural Networks......Page 136
2.3 Deep Generative Model......Page 137
3 Deep Learning Based Melanoma Detection......Page 138
3.1 Datasets......Page 139
3.2 Performance Metrics......Page 140
3.3 Performance of Recent Deep Learning Methods for Melanoma Detection......Page 141
4 Conclusion......Page 143
References......Page 144
Applied Mathematics......Page 148
1 Introduction......Page 149
3 Cosine Similarity Measure for PFSs......Page 150
5.1 Proof......Page 151
7 Practical Applications......Page 152
8 Comparison with Other Methods......Page 153
References......Page 154
1 Introduction......Page 155
2.1 Positivity and Boundedness......Page 156
2.2 Equilibrium Points, Reproduction Number and Local Stability......Page 157
3 Numerical Results and Discussion......Page 159
References......Page 161
1 Introduction......Page 163
2.2 Yager's (bib:38) Ranking Index......Page 165
2.4 Defuzzification Method of CNTFN [De and Mahata (bib:13)]......Page 166
3.2 Notations......Page 167
5 Formulation of the Fuzzy Mathematical Model......Page 168
6 Implication of Cloudy Fuzzy Environment in Inventory Process......Page 169
7 Numerical Example-1......Page 170
8 Discussion on Tables1 and 2......Page 171
10 Discussion on Sensitivity Analysis Table3......Page 172
12 Discussion on Figs.4 and 5......Page 173
13 Conclusion......Page 174
References......Page 175
1 Introduction......Page 178
2 Boundedness and Permanence......Page 179
3 Global Attractivity and Almost Periodicity......Page 180
4 Numerical Example......Page 183
5 Concluding Remarks......Page 185
References......Page 186
1 Introduction......Page 188
2 Mathematical Formulation......Page 189
3 Method of Solution......Page 191
4 Asymptotic Expansion......Page 195
5 Numerical Results......Page 196
6 Conclusion......Page 198
References......Page 199
1 Introduction......Page 200
2.1 Upper Semi-frames......Page 202
2.2 Lower Semi-frames......Page 203
3 Semi-frames in Banach Spaces......Page 204
4 Fusion Semi-frames......Page 205
5 Conclusion......Page 206
References......Page 207
1 Introduction......Page 208
2 Diamond Tile Self-assembly System......Page 209
3 Complexity of Diamond Self-assembly......Page 211
References......Page 218
1 Introduction......Page 219
2 Exponential Spline Method......Page 220
3 Stability Analysis......Page 223
4 Numerical Results......Page 224
References......Page 229
1 Introduction......Page 230
2.1 A Smooth Regression Technique......Page 231
2.2 The Extension Principle and Same Points......Page 232
3 Proposed Technique on Fuzzy Regression......Page 234
4 Algorithm......Page 235
5 Illustrative Example......Page 236
References......Page 238
1 Introduction......Page 239
2 Equilibrium Patterns......Page 244
3 Global Stability for Dead Zone Model......Page 246
4 Future Work......Page 253
5 Discussion......Page 254
References......Page 255
Pure Mathematics......Page 257
1 Introduction......Page 258
2.1 Bohr's Phenomenon for a Class of Subordinations......Page 260
2.3 Bohr inequality for p-Symmetric Analytic Functions......Page 262
2.4 Powered Bohr Inequality......Page 264
2.5 Improved Bohr's Inequality for Locally Univalent Harmonic Mappings......Page 265
References......Page 268
1 Introduction......Page 270
2 Analysis of the Differential Transform Method (DTM)......Page 271
3 The Fractional Differential Transform Method (FDTM)......Page 272
4 Analytical Solution of Abel Integral Equation......Page 273
6 Illustrative Examples......Page 275
7 Conclusion......Page 279
References......Page 280
1 Introduction......Page 281
2 Preliminaries......Page 282
3 L-fuzzy Closure Spaces and L-fuzzy Approximation Spaces......Page 285
4 Conclusion......Page 289
References......Page 290
1 Introduction and Preliminaries......Page 291
2 Main Results......Page 292
References......Page 297
1 Introduction......Page 299
2 Methodology......Page 301
3 Experimental Results......Page 303
References......Page 307
1 Introduction and Preliminaries......Page 309
2 Kinds of -Statistical Convergence for Functions in RTNS......Page 313
2.1 Pointwise -Statistical Convergence in RTNS......Page 314
2.2 Uniformly -Statistical Convergence in RTNS......Page 317
References......Page 320
1 Introduction......Page 322
2 Basic Equations and Problem Formulation......Page 325
3 Uniqueness of Solution......Page 327
4 Alternative Formulation of Mixed Problem......Page 329
5 Variational Theorem......Page 331
6 Reciprocity Theorem......Page 332
References......Page 335
Author Index......Page 338