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Signature Verification Model: A Long Term Memory ApproachMuraleedharan Nair, Jayakrishnan 25 August 2015 (has links)
No description available.
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232 |
Predictive Modeling of Spatio-Temporal Datasets in High DimensionsChen, Linchao 27 May 2015 (has links)
No description available.
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233 |
Bayesian Hierarchical Space-Time Clustering MethodsThomas, Zachary Micah 08 October 2015 (has links)
No description available.
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234 |
Evapotranspiration Estimation from MOD16 MODIS Data Product and Compared with Flux Tower Observations of ToledoRahman, Md Tajminur, Rahman January 2017 (has links)
No description available.
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Mapping the Future of Motor Vehicle CrashesStakleff, Brandon Alexander 10 September 2015 (has links)
No description available.
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A New Approach to Spatio-Temporal Kriging and Its ApplicationsAgarwal, Abhijat 28 July 2011 (has links)
No description available.
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Dimension Reduced Modeling of Spatio-Temporal Processes with Applications to Statistical DownscalingBrynjarsdóttir, Jenný 26 September 2011 (has links)
No description available.
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Bayesian Dynamical Modeling of Count DataZhuang, Lili 20 October 2011 (has links)
No description available.
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Micro-level spatio-temporal relationships between firearm arrests and shootings in Philadelphia: Implications for understanding of crime, time, place, and policingWyant, Brian Ray January 2010 (has links)
The current study examines the relationship between shootings and police firearm arrests at a more detailed spatial and temporal level than has previous work. Using data from Philadelphia during the years 2004 to 2007 two dynamics are investigated: the relationship between a shooting and subsequent police firearm arrests nearby in space and time; and the relationship between a police firearm arrest and subsequent shootings nearby in space and time. In order to simultaneously consider spatial and temporal variation at a more micro-level, the current study uses a modified version of the Knox (1964) close pair method, a spatio-temporal clustering technique first used to study contagious diseases, and later used to analyze near-repeat patterns in the study of crime. The first question explored the relationship between a shooting and subsequent police firearm arrests. Results showed elevated patterns of firearm arrests were approximately two and a half times greater than would be expected levels of firearm arrests than if shootings and subsequent firearm arrests lacked a spatio-temporal association. Greater than expected elevated patterns persisted for up to about a fifth of a mile away and about one week but the strength of these associations waned. The observed patterns suggest an immediate and geographically targeted police response to a shooting and a somewhat sustained effort. Turning attention to the next question, an initial slightly elevated level of shootings followed a firearm arrest but for only a couple of days and about one block; shooting swiftly dropped below expected levels as one moves away in time and space. The waning and eventual significant drop in shootings may arise from ecological deterrence, but any suppression of shootings was short-lived. Overall, the current work highlights the close associations in space and time between police and offenders and suggests that police and offender activity is not simultaneous as the police response to a shooting immediately whereas potential offender's response to police actions is moderately delayed. Potential implications for theory and policy regarding both police behavior/police organizational responsiveness and ecological deterrence are discussed. / Criminal Justice
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Space-time Processsing for the Wideband-CDMA SystemZahid, Kazi 28 March 2001 (has links)
Deployment of antenna arrays is a very promising solution to reduce the Multiple Access Interference (MAI) from high data rate users in the Wideband Code Division Multiple Access (W-CDMA) system. Combining the antenna array with a RAKE receiver, both of which exploits multipath diversity, can significantly improve the system performance. In this research, we investigate the performance of these beamformer-RAKE receivers, also known as two-dimensional (2-D) RAKE receiver, for the reverse link of the W-CDMA system. We consider three different Pilot Symbol Assisted (PSA) beamforming techniques, Direct Matrix Inversion (DMI), Least-Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms. Two different Geometrically Based Single Bounce (GBSB) statistical channel models are considered, one, which is more suitable for array processing, and the other is conductive to RAKE combining. The performances of the 2-D RAKE receivers are evaluated in these two channel models as a function of the number of antenna elements and RAKE fingers. It is shown that, in both the cases, the 2-D RAKE receiver outperforms the conventional RAKE receiver and the conventional beamformer by a significant margin. Also, the output SINR expression of a 2-D RAKE receiver with the general optimum beamformer is derived. / Master of Science
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