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Preface |
6 |
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Technical Program Committee |
8 |
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About the Book |
14 |
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Contents |
15 |
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About the Editors |
18 |
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Advanced Communication Networks |
20 |
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1 Detection and Prevention of DDoS Attacks in Wireless Sensor Networks |
21 |
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Abstract |
21 |
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1 Introduction |
21 |
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2 Related Work |
22 |
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3 Proposed Model |
23 |
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3.1 Two Way Authentication |
24 |
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3.2 Data Filtration Method |
24 |
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3.3 Algorithm Steps |
25 |
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4 Implementation Using NS-2 |
25 |
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5 Result Analysis |
27 |
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6 Conclusion |
30 |
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References |
30 |
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2 Wired LAN and Wireless LAN Attack Detection Using Signature Based and Machine Learning Tools |
32 |
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Abstract |
32 |
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1 Introduction |
32 |
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2 Related Work |
33 |
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3 Proposed Approach |
34 |
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4 Setup Environment of Lab |
35 |
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5 Results and Observations |
36 |
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5.1 Manually Through Wireshark |
37 |
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5.2 Using Signature Based Tool |
38 |
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5.3 Using Machine Learning Tool |
38 |
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6 Conclusion and Future Work |
40 |
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References |
41 |
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3 Enhancing WSN Lifetime Using TLH: A Routing Scheme |
42 |
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Abstract |
42 |
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1 Introduction |
42 |
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2 Literature Survey |
43 |
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3 Problem Statement |
44 |
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4 Proposed Work |
45 |
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4.1 Two Level Heterogeneity (TLH) Scheme |
45 |
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4.2 Sensor Radio Model |
46 |
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4.3 Workflow of Simulation |
47 |
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5 Simulation Study |
48 |
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5.1 Network Set Up |
48 |
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5.2 Simulation Environment |
48 |
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6 Result and Discussion |
49 |
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6.1 Advantages of Proposed Scheme with Flat Routing Heterogeneous Model |
50 |
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7 Conclusion |
51 |
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8 Future Scope |
51 |
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References |
52 |
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4 IP Traceback Schemes for DDoS Attack |
53 |
|
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Abstract |
53 |
|
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1 Introduction |
53 |
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2 Background Details & Related Work |
54 |
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3 IP Traceback Schemes |
54 |
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3.1 Reactive Mechanism Based Traceback Schemes: This Section Shows the Different Reactive Mechanism Based Traceback Schemes |
57 |
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3.1.1 Link Testing |
57 |
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3.1.2 Messaging |
58 |
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3.1.3 Packet Marking |
58 |
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3.1.4 Packet Logging |
60 |
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3.1.5 Overlay |
61 |
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3.2 Hybrid Traceback Schemes |
61 |
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3.3 Special IP Traceback Schemes |
62 |
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3.3.1 Ant Colony System Algorithm for Solving the IP Trace-Back Problem |
64 |
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4 Comparison of Different Proposed IP Traceback Schemes |
64 |
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5 Conclusions and Future Direction |
65 |
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References |
66 |
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5 Adaptability of Various Mobility Models for Flying AdHoc Networks—A Review |
67 |
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Abstract |
67 |
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1 Introduction |
67 |
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2 Mobility Models |
68 |
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2.1 Temporal Dependency |
69 |
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2.1.1 Gauss-Markov |
69 |
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2.1.2 Smooth Random |
70 |
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2.2 Spatial Dependency |
70 |
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2.2.1 Reference Point Group Mobility Model (RPGM) |
71 |
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2.2.2 Community Based Mobility Model |
71 |
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2.2.3 Pursue Mobility Model |
71 |
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2.2.4 Social Network Founded Model |
71 |
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2.3 Geographical Restrictions |
72 |
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2.3.1 Area-Graph Based Model |
72 |
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2.3.2 Map Based Model |
72 |
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2.3.3 Manhattan Grid Model |
72 |
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2.3.4 Obstacle Model |
72 |
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2.4 Hybrid Structure |
73 |
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2.4.1 Free Way Mobility |
73 |
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2.4.2 Catastrophe-Scenario Model |
73 |
|
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2.4.3 User Oriented Meta Model |
73 |
|
|
2.4.4 Disaster Area Model |
73 |
|
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2.5 Random |
74 |
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2.5.1 Random-Waypoint |
74 |
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2.5.2 Clustered Mobility |
74 |
|
|
2.5.3 Random Walk |
74 |
|
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3 Connectivity Graph Metrics |
74 |
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3.1 Number of Link Changes |
75 |
|
|
3.2 Link Duration |
75 |
|
|
3.3 Link Availability |
75 |
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4 Conclusion and Future Scope |
78 |
|
|
Acknowledgements |
78 |
|
|
References |
78 |
|
|
6 Reliable Packet Delivery in Vehicular Networks Using WAVE for Communication Among High Speed Vehicles |
80 |
|
|
Abstract |
80 |
|
|
1 Introduction |
81 |
|
|
2 Packet Delivery in Vehicular Ad Hoc Networks |
83 |
|
|
3 Performance Evaluation of Proposed Algorithm |
84 |
|
|
4 Simulation Parameters and Results |
87 |
|
|
5 Conclusion |
90 |
|
|
References |
90 |
|
|
7 Integration of IEC 61850 MMS and IEEE 802.22 for Smart Grid Communication |
93 |
|
|
Abstract |
93 |
|
|
1 Introduction |
94 |
|
|
2 Smart Grid Communication |
95 |
|
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3 IEC 61850 |
96 |
|
|
4 IEEE 802.22 WARN |
98 |
|
|
5 Integration of IEC 61850 MMS with IEEE 802.22 |
99 |
|
|
6 Communication Model |
100 |
|
|
7 Conclusions |
101 |
|
|
References |
102 |
|
|
8 KRUSH-D Approach for the Solution to Node Mobility Issue in Underwater Sensor Network (UWSN) |
103 |
|
|
Abstract |
103 |
|
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1 Introduction |
104 |
|
|
2 Proposed Approach |
104 |
|
|
3 Dry Run of Proposed Approach |
106 |
|
|
4 Results |
109 |
|
|
5 Conclusion and Future Work |
112 |
|
|
References |
112 |
|
|
9 NS2 Based Structured Network Attack Scrutiny in MANET |
113 |
|
|
Abstract |
113 |
|
|
1 Introduction |
114 |
|
|
2 Routing and Protocols |
114 |
|
|
2.1 Routing |
115 |
|
|
3 Attacks on Routing and Protocols |
116 |
|
|
3.1 Based on Secrecy and Authentication |
117 |
|
|
3.2 Based on Integrity |
118 |
|
|
3.3 Based on Availability: Denial of Service |
120 |
|
|
4 Comparison of Attacks |
120 |
|
|
5 Study of Simulations |
121 |
|
|
6 Conclusion |
124 |
|
|
References |
124 |
|
|
10 EKMT-k-Means Clustering Algorithmic Solution for Low Energy Consumption for Wireless Sensor Networks Based on Minimum Mean Distance from Base Station |
126 |
|
|
Abstract |
126 |
|
|
1 Introduction |
126 |
|
|
2 Related Work |
127 |
|
|
3 Proposed k-Means Clustering Based Energy Efficient Protocol |
128 |
|
|
4 Simulation Results |
132 |
|
|
5 Conclusion |
135 |
|
|
References |
135 |
|
|
11 A Review of FIR Filter Designs |
137 |
|
|
Abstract |
137 |
|
|
1 Introduction |
137 |
|
|
1.1 Filter |
138 |
|
|
1.1.1 Need of Filtering |
138 |
|
|
1.1.2 Digital and Analog Filtering |
138 |
|
|
1.1.3 Finite Impulse Response (FIR) Filter |
139 |
|
|
1.1.4 Design Parameters and Constraints |
140 |
|
|
2 FIR Filter Design |
140 |
|
|
2.1 Observations for FIR Filter |
148 |
|
|
3 Conclusions |
149 |
|
|
References |
150 |
|
|
12 Analysis of Safety Applications in VANET for LTE Based Network |
153 |
|
|
Abstract |
153 |
|
|
1 Introduction |
154 |
|
|
2 Analysis, Design and Related Works |
155 |
|
|
3 Proposed Scheduler for VANET Based Safety Application |
158 |
|
|
4 Simulation Explanation and Results |
160 |
|
|
5 Conclusion |
164 |
|
|
References |
164 |
|
|
13 Broadcast Storm Problem—A Hidden Consequence of Content Distribution in Content Delivery Networks |
167 |
|
|
Abstract |
167 |
|
|
1 Introduction |
168 |
|
|
2 Literature Survey |
169 |
|
|
2.1 Content Distribution and Selection |
169 |
|
|
2.2 Broadcast Storm Problem |
170 |
|
|
2.3 Solutions to BSP |
171 |
|
|
3 Comparative Analysis |
173 |
|
|
3.1 Problem Formulation |
173 |
|
|
3.2 Comparative Study |
174 |
|
|
3.3 BSP in CDN |
175 |
|
|
4 Conclusion |
176 |
|
|
References |
176 |
|
|
Artificial Intelligence and Evolutionary Algorithms |
178 |
|
|
Attribute Reduction Method Using the Combination of Entropy and Fuzzy Entropy |
179 |
|
|
1 Introduction |
179 |
|
|
2 Priliminaries |
181 |
|
|
2.1 Entropy Fuzzy Entropy |
181 |
|
|
2.2 Nearest Neighbor |
182 |
|
|
3 Proposed Method |
182 |
|
|
4 Experimental Results |
184 |
|
|
5 Conclusion |
186 |
|
|
References |
186 |
|
|
15 Evaluation of Factors Responsible for Road Accidents in India by Fuzzy AHP |
188 |
|
|
Abstract |
188 |
|
|
1 Introduction |
188 |
|
|
2 Literature Review |
189 |
|
|
3 Methodology |
191 |
|
|
3.1 AHP and Fuzzy AHP Approach |
191 |
|
|
4 Case Study |
193 |
|
|
4.1 Problem Definition |
193 |
|
|
5 Conclusion |
196 |
|
|
References |
196 |
|
|
16 Development of Knowledge Capsules for Custom-Tailored Dissemination of Knowledge of Seismic Data Interpretation |
198 |
|
|
Abstract |
198 |
|
|
1 Introduction |
198 |
|
|
2 Related Work |
199 |
|
|
3 Proposed Framework |
201 |
|
|
4 Experimental Details |
202 |
|
|
5 Conclusion |
204 |
|
|
Acknowledgements |
204 |
|
|
References |
204 |
|
|
17 Design of Low Cost Blood Glucose Sensing System Using Diffused Reflectance Near-Infrared Light |
206 |
|
|
Abstract |
206 |
|
|
1 Introduction |
207 |
|
|
2 Research Methodology |
208 |
|
|
2.1 Light wavelength selection |
209 |
|
|
2.2 In Vitro Prototype Design |
210 |
|
|
2.3 In Vivo Prototype Design |
211 |
|
|
2.3.1 Calibration Models for Estimation of the Blood Glucose |
214 |
|
|
3 Experimental Results |
218 |
|
|
3.1 In Vitro Experimentation |
218 |
|
|
3.2 In Vivo Experimentation |
220 |
|
|
4 Discussion |
222 |
|
|
5 Conclusion |
223 |
|
|
References |
224 |
|
|
18 Hybrid Chunker for Gujarati Language |
226 |
|
|
Abstract |
226 |
|
|
1 Introduction |
226 |
|
|
2 Earlier Relevant Work |
227 |
|
|
3 Approach Used |
228 |
|
|
4 Architecture of Proposed System |
231 |
|
|
5 Experiments |
232 |
|
|
6 Results |
233 |
|
|
7 Conclusions |
234 |
|
|
References |
234 |
|
|
19 Sound Localization in 3-D Space Using Kalman Filter and Neural Network for Human like Robotics |
236 |
|
|
Abstract |
236 |
|
|
1 Introduction |
236 |
|
|
1.1 Neurotransmission |
237 |
|
|
1.2 Sound Localization |
238 |
|
|
1.3 Types of Cues for Sound Localization |
238 |
|
|
1.4 Localization Process |
239 |
|
|
2 Related Work |
240 |
|
|
3 Preliminaries |
241 |
|
|
3.1 Coincidence Detectors |
241 |
|
|
3.2 Kalman Filters |
242 |
|
|
3.2.1 Prediction Step |
242 |
|
|
3.2.2 Updation Step |
243 |
|
|
4 Proposed System |
245 |
|
|
5 Results and Discussion |
248 |
|
|
5.1 Conclusion and Future Scope |
251 |
|
|
References |
251 |
|
|
20 Analysis of Stock Prices and Its Associated Volume of Social Network Activity |
253 |
|
|
Abstract |
253 |
|
|
1 Introduction |
253 |
|
|
2 The Foundations of Social Network Analysis |
254 |
|
|
2.1 Terminology |
254 |
|
|
2.2 Structure of Social Networks |
255 |
|
|
2.3 Network Evolution |
255 |
|
|
2.4 Network Density |
256 |
|
|
2.5 Network Performance |
256 |
|
|
3 Literature Survey |
256 |
|
|
3.1 Correlation Between Public Sentiment and Market Sentiment |
257 |
|
|
3.2 Sentiment Analysis at the User Level |
257 |
|
|
3.3 Logistical Regression Modeling |
258 |
|
|
3.4 Disadvantage of Predictive Models |
259 |
|
|
4 Volume of Twitter Activity |
259 |
|
|
4.1 Procedure |
260 |
|
|
5 Analysis |
261 |
|
|
6 Mathematical Analysis |
261 |
|
|
7 Conclusion |
262 |
|
|
References |
263 |
|
|
21 On Solutions to Capacitated Vehicle Routing Problem Using an Enhanced Ant Colony Optimization Technique |
264 |
|
|
Abstract |
264 |
|
|
1 Introduction |
264 |
|
|
2 CVRP Formulation |
265 |
|
|
3 Enhanced Ant Colony Optimization (ACO) Algorithm |
266 |
|
|
4 Computational Results |
267 |
|
|
5 Conclusion |
272 |
|
|
References |
272 |
|
|
22 Music Recommendation System with User-Based and Item-Based Collaborative Filtering Technique |
274 |
|
|
Abstract |
274 |
|
|
1 Introduction |
274 |
|
|
2 Related Work |
275 |
|
|
2.1 User-Item Rating Matrix |
275 |
|
|
2.2 Collaborative Filtering (CF) Technique |
276 |
|
|
2.2.1 User-Based CF |
276 |
|
|
2.2.2 Item-Based CF |
276 |
|
|
3 Proposed Algorithm |
276 |
|
|
3.1 Similarity Measures |
277 |
|
|
3.2 Normalization Techniques |
277 |
|
|
3.3 Proposed Approach |
278 |
|
|
3.3.1 Pre-processing of Data |
278 |
|
|
3.3.2 Model Building |
279 |
|
|
4 Results |
280 |
|
|
4.1 Experimental Results |
281 |
|
|
5 Conclusion and Future Scope |
283 |
|
|
References |
285 |
|
|
23 GLCM Feature Extraction for Insect Bites Pattern Recognition |
286 |
|
|
Abstract |
286 |
|
|
1 Introduction |
287 |
|
|
2 Texture Analysis |
287 |
|
|
3 GLCM |
288 |
|
|
4 Extraction of Features from GLCM |
289 |
|
|
5 Result |
290 |
|
|
6 Conclusion and Future Work |
291 |
|
|
References |
292 |
|
|
24 A Novel Hybrid PSO-DA Algorithm for Global Numerical Optimization |
294 |
|
|
Abstract |
294 |
|
|
1 Introduction |
295 |
|
|
2 Particle Swarm Optimization |
295 |
|
|
3 Dragonfly Algorithm |
296 |
|
|
4 The Hybrid PSO-DA Algorithm |
298 |
|
|
5 Simulation Results for Unconstraint Test Benchmark Function |
299 |
|
|
6 Overcurrent Relay Co-ordination with Common Configuration in Power System |
300 |
|
|
7 Conclusions |
303 |
|
|
Acknowledgements |
303 |
|
|
References |
304 |
|
|
25 Short-Term Electricity Price Forecasting Using Hybrid SARIMA and GJR-GARCH Model |
306 |
|
|
Abstract |
306 |
|
|
1 Introduction |
307 |
|
|
2 The Proposed Approach |
308 |
|
|
2.1 Wavelet Transform |
308 |
|
|
2.2 SARIMA Model |
310 |
|
|
2.3 GJR-GARCH Model |
310 |
|
|
2.4 Hybrid SARIMA-GJR GARCH Model |
311 |
|
|
3 Results and Discussion |
312 |
|
|
4 Conclusion |
316 |
|
|
References |
316 |
|
|
Author Index |
319 |
|
|
427613_1_En_26_Chapter_OnlinePDF.pdf |
0 |
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26 Erratum to: Design of Low Cost Blood Glucose Sensing System Using Diffused Reflectance Near-Infrared Light |
318 |
|
|
Erratum to: |
318 |
|