Near-Optimal Multiuser Detection in Synchronous CDMA Using Probabilistic Data Association
Presented By:
J. Luo, Student Member, IEEE, K. R. Pattipati, Fellow, IEEE, P. K. Willett, Senior Member, IEEE, and F. Hasegawa, Member, IEEE
Abstract
A Probabilistic Data Association (PDA) method is proposed in this letter for multiuser detection over synchronous code-division multiple-access (CDMA) communication channels. PDA models the undecided user signals as binary random variables. By approximating the inter-user interferenc ....etc

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Probabilistic Evaluation of Optimal Location of Surge Arresters on EHV and UHV Networks Due to Switching and Lightning Surges
Abstract
Switching surges are of primary importance in insulationcoordination of extremely high voltage and ultra-high voltagenetworks. However, in regions of high lightning activity or highground resistance insulation design, preferably, should be based onthe risk of failure caused by lightning and switching surges and theprobability of line outage, a combination of lightning and switchingflashover rates (SSFO ....etc

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Abstract:
A seismic loss curve of a real-world building is obtained by means of state-of-the-art models for the impending ground motion, the structure, the damage of structural and nonstructural components, and the ensuing losses. In particular, the seismic hazard at the buildingâ„¢s location _Vancouver, Canada_ is described by a comprehensive probabilistic model. It is argued that this ground motion model is particularly appropriate in reliability analysis compared with the more common utilization of a limited set of scaled ground moti ....etc

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CHAPTER 1
INTRODUCTION
The probabilistic packet marking (PPM) algorithm by Savage has attracted the most attention in contributing the idea of IP trace back. The most interesting point of this IP trace back approach is that it allows routers to encode certain information on the attack packets based on a predetermined probability. Upon receiving a sufficient number of marked packets, the victim can obtain the locations of the attackers.
1.1 THE PROBABILISTIC PACKET MARKING ALGORITHM
PPM algorithm is used to ....etc

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Abstract:


This paper presents a novel approach for calculating a probabilistic worst-case response-time for messages in the Controller Area Network (CAN). CAN uses a bit-stuffing mechanism to exclude forbidden bit-patterns within a message frame. The added bits eliminate the forbidden patterns but cause an increase in frame length. How much the length is increased depends on the bit-pattern of the original message frame.
Traditional response-time analysis methods assume that all frames have a worst-case number of stuff-bits. This introdu ....etc

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Abstract
Nonnegative matrix factorization (nmf) is a powerful and well-established technique in data mining. We generalize nmf signi_cantly by introducing several new and rich formulations for sparse nonnegative matrix factorization (snmf). Our formulations are substantially more general than previously studied snmf problems. In particular, we model sparsity via constraints and regularizers, for which we describe a variety of concrete choices of sparsity tuning functions. To solve snmf, we develop convergent and computationally e_cien ....etc

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Topology preserving non negative matrix factorization for face recognition ....etc

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Probabilistic Modeling of Leach Protocol and Computing Sensor Energy Consumption Rate in Sensor Networks
Abstract
One important performance index of routing mechanisms in sensor net-
works is sensor lifespan. In our settings, sensors are energy-constrained by batteries and located far away from the access point. A sensor dies once
its battery dies. Since the radio transmission consumes a lot of energy, re-
searchers proposed several routing mechanisms to save energy to prolong
the sensor lifespan. So far, the comparison of di®ere ....etc

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There has been a lot of research in the field of definition of the representation, the data fusion, and the generation of probabilistic occupancy maps. Here the occupancy maps are processed as textured images to extract meaningful information which is useful for the robot navigation. modern segmentation techniques' application is considered over the probabilistic occupancy maps. The local binary pattern and contrast is used as a basis for enhancements. The enhanced LBP/C segmentation technique handles occupancy uncertainty. free, unknown, and ....etc

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