A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks

2012 ◽  
Vol 27 (7) ◽  
pp. 969-990 ◽  
Author(s):  
Ali Safa Sadiq ◽  
Kamalrulnizam Abu Bakar ◽  
Kayhan Zrar Ghafoor ◽  
Jaime Lloret ◽  
SeyedAli Mirjalili
Keyword(s):  
Wireless Networks ◽  
Curve Fitting ◽  
Mobile Ipv6 ◽  
Prediction System ◽  
Fast Mobile Ipv6 ◽  
Fitting Model

scholarly journals Route Optimization Security in Mobile IPv6 Wireless Networks: A Test-Bed Experience

2008 ◽  
pp. 153-159 ◽  
Author(s):  
Abbas Mehdizadeh ◽  
S. Khatun ◽  
Borhanuddin M. Ali ◽  
R. S. A. Raja Abdullah ◽  
Gopakumar Kurup
Keyword(s):  
Wireless Networks ◽  
Mobile Ipv6 ◽  
Route Optimization ◽  
Test Bed

Practical experience with wireless networks integration using Mobile IPv6

2003 ◽  
Vol 7 (4) ◽  
pp. 47-49 ◽  
Author(s):  
Rajiv Chakravorty ◽  
Pablo Vidales ◽  
Kavitha Subramanian ◽  
Ian Pratt ◽  
Jon Crowcroft
Keyword(s):  
Wireless Networks ◽  
Practical Experience ◽  
Mobile Ipv6 ◽  
Networks Integration

Exponential Modeling of Frequency-Following Responses in American Neonates and Adults

2018 ◽  
Vol 29 (02) ◽  
pp. 125-134 ◽  
Author(s):  
Fuh-Cherng Jeng ◽  
Brandie Nance ◽  
Karen Montgomery-Reagan ◽  
Chia-Der Lin
Keyword(s):  
Time Constant ◽  
Curve Fitting ◽  
Speech Processing ◽  
Phase Locking ◽  
Pitch Contour ◽  
Frequency Error ◽  
Tracking Accuracy ◽  
Exponential Curve ◽  
Adult Participants ◽  
Fitting Model

AbstractThe scalp-recorded frequency-following response (FFR) has been widely accepted in assessing the brain’s processing of speech stimuli for people who speak tonal and nontonal languages. Characteristics of scalp-recorded FFRs with increasing number of sweeps have been delineated through the use of an exponential curve-fitting model in Chinese adults; however, characteristics of speech processing for people who speak a nontonal language remain unclear.This study had two specific aims. The first was to examine the characteristics of speech processing in neonates and adults who speak a nontonal language, to evaluate the goodness of fit of an exponential model on neonatal and adult FFRs, and to determine the differences, if any, between the two groups of participants. The second aim was to assess effective recording parameters for American neonates and adults.This investigation employed a prospective between-subject study design.A total of 12 American neonates (1–3 days old) and 12 American adults (24.1 ± 2.5 yr old) were recruited. Each neonate passed an automated hearing screening at birth and all adult participants had normal hearing and were native English speakers.The English vowel /i/ with a rising pitch contour (117–166 Hz) was used to elicit the FFR. A total of 8,000 accepted sweeps were recorded from each participant. Three objective indices (Frequency Error, Tracking Accuracy, and Pitch Strength) were computed to estimate the frequency-tracking acuity and neural phase-locking magnitude when progressively more sweeps were included in the averaged waveform. For each objective index, the FFR trends were fit to an exponential curve-fitting model that included estimates of asymptotic amplitude, noise amplitude, and a time constant.Significant differences were observed between groups for Frequency Error, Tracking Accuracy, and Pitch Strength of the FFR trends. The adult participants had significantly smaller Frequency Error (p < 0.001), better Tracking Accuracy (p = 0.001), and larger Pitch Strength (p = 0.003) values than the neonate participants. The adult participants also demonstrated a faster rate of improvement (i.e., a smaller time constant) in all three objective indices compared to the neonate participants. The smaller time constants observed in adults indicate that a larger number of sweeps will be needed to adequately assess the FFR for neonates. Furthermore, the exponential curve-fitting model provided a good fit to the FFR trends with increasing number of sweeps for American neonates (mean r 2 = 0.89) and adults (mean r 2 = 0.96).Significant differences were noted between the neonatal and adult participants for Frequency Error, Tracking Accuracy, and Pitch Strength. These differences have important clinical implications in determining when to stop a recording and the number of sweeps needed to adequately assess the frequency-encoding acuity and neural phase-locking magnitude in neonates and adults. These findings lay an important foundation for establishing a normative database for American neonates and adults, and may prove to be useful in the development of diagnostic and therapeutic paradigms for neonates and adults who speak a nontonal language.

Statistical Analysis for Multiple Non-Linear Knock Factors in Internal Combustion Engine

2014 ◽  
Vol 663 ◽  
pp. 373-380
Author(s):  
Azher Razzaq Hadi Witwit ◽  
Azman Yasin ◽  
Horizon Gitano ◽  
Mohammed Ismael Mahmood
Keyword(s):  
Statistical Analysis ◽  
Curve Fitting ◽  
Internal Combustion Engines ◽  
Combustion Engine ◽  
Internal Combustion ◽  
Combustion Engines ◽  
Engine Test ◽  
Factors Affecting ◽  
The Relationship ◽  
Fitting Model

In this study, we will address the problem of knocking in internal combustion engines, and some of the factors affecting the knocking, through the study of the power of the effect of each factor after finding a model representing the relationship between the factors. We found Curve fitting model from data that has been obtained through the engine test (1.3L Campro, modified to turbocharger, 4-cylinder, MPI). This model has been evaluated statistically after finding the parameters that intervened in the construction of that model.

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