Advances in Computational and Bio-Engineering -- Proceeding of the International Conference on Computational and Bio Engineering, 2019, Volume 2 [1 ed.] 9783030469429

Table of contents :
Contents......Page 6
1 Introduction......Page 11
2 Type of “Data Stored in a Cloud”......Page 12
3 Cloud Security Issues......Page 14
4 Cloud Security Mechanisms......Page 15
References......Page 21
Smart Bag Using Electromagnet Zipper......Page 23
2.1 Block Diagram......Page 24
3.1 Methodology......Page 25
5 Conclusion......Page 26
References......Page 27
Analysis on Various Feature Extraction Methods for Medical Image Classification......Page 28
1 Introduction......Page 29
2 Related Work......Page 30
3.1 Preprocessing......Page 31
3.2 Segmentation Using Watershed Algorithm......Page 32
3.3 Feature Extraction......Page 33
3.5 Dataset Description......Page 34
4 Experimentation and Results......Page 35
5 Conclusion......Page 38
References......Page 39
1 Introduction......Page 41
3 Salient Features of Indian Agriculture......Page 43
3.1 Geographic Information System (GIS) Role in Agriculture Pest......Page 44
4 Big Data Mining Classification and Prediction......Page 45
4.1 Statistical Analysis Through Hadoop......Page 47
5 Rep Tree Classification Analysis......Page 48
5.1 Rep Tree Classification on Weather Database Based on GDD......Page 49
5.3 Predicted Values of GDD Averages......Page 50
5.4 Comparative Analysis Predicted GDD Average Values in Four Districts......Page 51
6 Conclusions......Page 52
References......Page 53
Optimizing TCP Congestion Control Techniques for Wireless Network Architectures......Page 54
1 Introduction......Page 55
2 Literature Survey......Page 56
3 Proposed Techniques/Approaches......Page 57
4 Simulation Results......Page 58
5 Conclusion......Page 60
References......Page 61
Comparative in Silico Studies for the Molecular Basis of Lepidopteran Insect Pests Bio-Control Using Insect’s Own Enzymes......Page 62
1 Introduction......Page 63
2 Materials and Methods......Page 64
3 Results......Page 65
4 Discussion......Page 70
References......Page 71
Collaborative Cloud Computing for Resource Sharing Platform in Multiple Clouds......Page 72
2 Problem Definition......Page 73
4 Implementation......Page 74
5 Conclusion......Page 76
References......Page 77
1 Introduction......Page 78
2.2 Optimization: Way Its Solved......Page 79
3.1 Illation and Sample Distribution: The Problem......Page 80
3.2 Illation and Sample Distribution: Way Its Solved......Page 81
References......Page 83
Applications of Network Analysis in Bioinformatics......Page 85
2 Network Analysis in Bioinformatics......Page 86
3 Conclusion......Page 89
References......Page 90
Identification of Clinical Variants Present in Skin Melanoma Using Exome Sequencing Data......Page 91
2.1 Raw Data Selection......Page 92
2.4 Variant Analysis......Page 93
3.1 Variant Analysis......Page 94
4 Discussion......Page 98
5 Conclusion......Page 101
References......Page 102
A Cloud-Based Privacy Preserving e-Healthcare System Using Whale Optimization......Page 103
3.1 Patient’s e-Profile Representation......Page 104
5 Basic Whale Optimization Algorithm......Page 105
5.2 Exploitation Phase......Page 106
6 Proposed e-Healthcare Model Using Minmax Whale Optimization (Minmax WOA)......Page 107
6.1 The Minmax Whale Optimization Algorithm......Page 108
6.3 Distributed Privacy Preservation for Clustered Profiles......Page 109
7 Experimental Results and Analysis......Page 110
7.2 Latency......Page 111
References......Page 114
1 Introduction......Page 116
2 Literature Survey......Page 117
3 Methodology......Page 118
4.2 Data Analysis......Page 119
4.3 Make Prediction......Page 120
4.5 Error Analysis......Page 121
5 Conclusion......Page 122
References......Page 123
1 Introduction......Page 124
2.1 Acetabular Cup Design......Page 125
2.2 Finite Element Analysis......Page 126
2.3 Wear Model......Page 127
3 Results and Discussions......Page 128
3.3 Comparison Between SS-U-Ti, SS-P-Ti and C-C-Ti......Page 129
References......Page 132
Intelligent Data Mining for Collaborative Information Seeking......Page 134
2 Related Works......Page 135
3 Proposed Methodology with Implementation......Page 136
3.2 Algorithm......Page 137
3.3 Data Cleaning......Page 138
4 Result and Analysis......Page 139
5 Conclusion and Future Works......Page 140
References......Page 141
1 Introduction......Page 142
2 Related Work......Page 143
3 Methodology......Page 144
3.2 Architecture Diagram......Page 145
3.3 Similarity matrix calculation......Page 146
4 Results and Discussion......Page 147
References......Page 148
LDA Based Approach for Topic Description from Spoken Audio Content......Page 150
2 Related Work......Page 151
3 Proposed System Architecture......Page 152
4 Evaluation of System......Page 153
5 Database Descriptions and Results Discussion......Page 154
5.1 Result Analysis for Audio Samples......Page 155
6 Conclusıon......Page 156
References......Page 157
1 Introduction......Page 158
2 Related Work......Page 159
4 Dataset......Page 160
5 Experiments and Results......Page 162
References......Page 163
1 Introduction......Page 165
2 Materials and Methods......Page 166
3 Discussion......Page 168
References......Page 172
1 Introduction......Page 173
2 Artificial Intelligence and the Law......Page 174
3 Law Applicable to Artificial Intelligence......Page 175
4 Conclusion......Page 177
References......Page 178
1 Introduction......Page 179
2.1 Data Sources and Searches......Page 180
2.2 Data Extraction and Synthesis......Page 181
3 Conclusion......Page 183
References......Page 184
1 Introduction......Page 186
3 Cognitive Agriculture......Page 187
6 Intelligence in Indian Agriculture......Page 188
References......Page 190
1 Introduction......Page 191
2 State Estimation (SE) Process......Page 192
5 Proposed Flow Chart of SE......Page 193
6 Simulation Results......Page 194
7 Conclusions......Page 201
References......Page 202
1 Introduction......Page 204
2.1 Pre-processıng......Page 206
3 Experımental Results......Page 211
4 Conclusıon......Page 212
References......Page 213
Plant Disease Detection Using Machine Learning Algorithms......Page 214
2.1 Hyper spectral Techniques......Page 215
2.2 WEKA Tool for Machine Learning Algorithms......Page 216
3 Plant Disease Detection Using Machine Learning Algorithms......Page 217
5 Experimental Results......Page 218
References......Page 220
Identification of Roads from CARTOSAT-2 Satellite Images Using Line Segment Detector......Page 222
2 Related Work......Page 223
3 Methodology......Page 224
3.3 Contrast Limited Adaptive Histogram Equalization(CLAHE)......Page 225
3.5 Laplacian Operator......Page 226
3.6 Line Segment Detection......Page 227
4 Results and Discussion......Page 228
5.1 Peak Signal Noise Ratio(PSNR)......Page 229
5.2 Entropy......Page 230
6 Conclusion......Page 231
References......Page 232
Lung Cancer Detection Using CT Scan Image......Page 233
1 Introduction......Page 234
1.1 About CT Scanner and Lungs......Page 235
2.2 Feature Extraction......Page 237
4 Conclusion and Future Work......Page 240
References......Page 242
Efficiency of Neuro-Nutrient Therapy in the Treatment of Neuropathologies......Page 243
1 Amino Acid Precursors......Page 244
4 Fish Polyunsaturated Fatty Acids......Page 245
7 Caloric Restriction Mimetics (Crms)......Page 246
11 Curcuminoids......Page 247
15 Beverages: Coffee and Tea......Page 248
18 The Gut Microbiome......Page 249
References......Page 250
Computational Approaches in Toxicity Testing: An Overview......Page 254
2 Steps in Computational Toxicology......Page 255
3 Conclusion......Page 259
References......Page 260
Application of Big Data in Forecasting the Travel Behaviour of International Tourists......Page 261
1 Introduction......Page 262
2 Literature Review......Page 263
3 Design of the System......Page 264
4 Results and Discussion......Page 265
5 Conclusion......Page 268
References......Page 269
1 Introduction......Page 270
2.2 SNOMED CT......Page 271
2.4 UML Unified Medical Language......Page 272
2.5 DICOM: Digital Imaging and Communication in Medicine Standard......Page 273
2.7 HL7 Basics......Page 274
3.1 Facts About Record Keeping......Page 275
3.2 Questionnaire for Medical Practitioners......Page 276
3.3 Interoperability Challenges [11]......Page 277
4 Mapping of EHR Standards and Its Benefit to Store the Patients Record......Page 278
4.1 Database Schema......Page 279
4.2 Implementation Technology......Page 280
References......Page 281
1 Introduction......Page 283
4.1 MakeMyTrip......Page 284
5 Basics of Netnography......Page 285
5.2 Data Collection......Page 286
7 Results and Interpretations......Page 288
References......Page 290
1 Web Scraping......Page 292
2 Web Crawling......Page 296
3 Conclusion......Page 298
1 Introduction......Page 299
2 Materials and Methods......Page 300
3.2 Random Forest......Page 302
3.3 Support Vector Machine (SVM)......Page 304
3.5 KNearest Neighbours......Page 305
4 Conclusion......Page 306
References......Page 307
1 Introduction......Page 308
2 Review of Literature......Page 309
4 Outputs and Exploration......Page 311
5 Conclusion......Page 314
References......Page 315
1 Introduction......Page 316
2 Literature Survey......Page 318
3.1 Image Pre-processing......Page 319
3.3 Classification......Page 320
4 Proposed Method......Page 321
References......Page 322
1 Introduction......Page 324
2 Materials......Page 325
3 Results and Discussion......Page 326
References......Page 329
1 Pesticides Scenario in the Country......Page 331
3.1 Characteristics of Fenitrothion......Page 332
3.3 Microbial Degradation of Fenitrothion......Page 333
3.5 Genetic Basis of Degradation......Page 334
3.8 OPH Structure- typify the Zn2+ ions exhibit in the active site.......Page 335
3.10 Bioremediation of Insecticide Contaminated Soils......Page 336
References......Page 337
1 Introduction......Page 338
2 Proposed DWIRS Framework for Deep Web Exploration......Page 339
3.1 Deep Web Indexing......Page 340
3.2 Deep Web Ranking......Page 341
4.1 Efficency of Indexing in Deep Web Exploration......Page 342
4.2 Efficiency of Ranking Using BRF......Page 344
5 Conclusion and Future Avenues......Page 345
References......Page 346
1 Introduction......Page 347
3.2 Human-Inspired Artificial Intelligence......Page 348
5.2 Application of Intelligence in Machines......Page 349
7 Advantages of Artificial Intelligence......Page 350
9 Artificial Intelligence in India......Page 351
10.1 AI-Driven Technology Will Become Counter-Productive in the Absence of a Legal Framework to Regulate It......Page 352
11 Suggestions to Evolve Beneficial and Constructive Artificial Intelligence......Page 353
References......Page 354
1 Introduction......Page 356
3 Study Design......Page 357
5 Nutrition Education Intervention......Page 358
7 Results......Page 359
8 Discussion......Page 360
References......Page 361
1 Introduction......Page 363
2 RAKE Description......Page 364
3 Mathematical Simulation......Page 365
4 Conclusion......Page 367
References......Page 369
1 Introduction......Page 370
2 Results and Discussion......Page 372
3 Conclusion......Page 374
References......Page 380
1 Introduction......Page 382
2 Evolution of Artificial Intelligence......Page 383
3 Management Information Systems......Page 385
4 Artıfıcıal Intellıgence in MIS......Page 388
References......Page 389
1 Introduction......Page 391
2 Algorithms for Extracting 2-D and 3-D Edges and Skeleta......Page 392
3 Feature Extraction of 3-D images Using 2-D and 3D Algorithms......Page 398
4 Comparative Analysis of 2.5-D and 3-D Feature Extraction Algorithms......Page 400
References......Page 404
1 Introduction......Page 406
3 Implementation......Page 408
4 Results......Page 409
5 Conclusion and Future Enhancement......Page 410
References......Page 413
1 Introduction......Page 414
2 Mathematical Formulation......Page 415
3 Method of Solution......Page 416
4 Discussion of the Outcome......Page 417
References......Page 421
1 Introduction......Page 423
3 Law and AI......Page 424
3.2 Right to Privacy......Page 425
5.1 Technology, Artificial Intelligence and Human Rights......Page 426
5.3 Scope of Personal Liberty Under Artificial Intelligence-......Page 427
7 AI, the Personal Data Protection Bill 2018 Andthe National Institution for Transforming India [NITI Aayog] [15–17]......Page 428
References......Page 429
1 Introduction......Page 431
2.1 Proofs of Retriveability......Page 432
2.3 Circuit of Indistinguishability Obfuscation and Functional Encryption......Page 433
3 Proposed Work......Page 434
3.1 Batch Verification Scheme......Page 436
4 Results and Discussions......Page 437
5 Conclusion......Page 444
References......Page 445
Effect of Edible Oil on AMP-Activated Protein Kinase Pathway in Rabbit......Page 446
1 Introduction......Page 447
2.3 Biochemical Analyses......Page 448
2.5 Western Blot......Page 449
3.1 Biochemical Analyses......Page 450
3.3 Effect of Lipid Metabolism on AMPKα2 Expression......Page 451
3.4 Real Time PCR......Page 452
4 Discussion......Page 453
References......Page 454
Prediction of NOX Concentration in the Vicinity of Cement Industry Employing AERMOD Dispersion Modeling......Page 456
2 Study Area......Page 457
3.1 Basic Input Data Requirements......Page 458
5 Outcome Profiles......Page 459
6 Spatial Distribution of Nitrogen Oxides Concentrations......Page 460
6.1 Isopleths of Nitrogen Oxides (NOX)......Page 461
8 Validation of AERMOD......Page 467
9 Statistical Performance......Page 468
References......Page 469
1 Introduction......Page 471
2 Related Works......Page 473
3.1 Segregation of Twitter Data Based on Location Using HIVE......Page 478
3.2 Preprocessing the Tweet Data Using NLP......Page 479
3.4 Probability Neural Network......Page 480
3.5 Proposed PC3E Framework......Page 481
4 PC3E Experimental Results......Page 482
5 Conclusıon......Page 486
References......Page 487

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