Fifty six children aged from 6-16 years who wet their beds at night were entered into a controlled trial of two alarm devices: a traditional alarm using a wet sensor mat on the bed attached to an alarm bell out of reach of the child, and a mini alarm system incorporating a tiny perineal wet sensor attached to a small alarm worn on the child's clothing. A quota allocation system ensured comparab...

In this paper, we propose a load balancing strategy that has the following features: (1) estimating the potential load of real gateways with low computation and no communication overhead, (2) asynchronous alarm sent when the utilization of a real gateway exceeds a critical threshold, and (3) WAP-awareness. We also propose a scalable WAP gateway (SWG) that consists of a WAP dispatcher and a clus...

K. J. Malmberg, J. Holden, and R. M. Shiffrin (2004) reported more false alarms for low- than high-frequency words when the foils were similar to the targets. According to the source of activation confusion (SAC) model of memory, that pattern is based on recollection of an underspecified episodic trace rather than the error-prone familiarity process. The authors tested the SAC account by varyin...

Cyclostationary models for communications signals have been shown in recent years to ooer many advantages over stationary models. Stationary models are adequate in many situations, but they cause important features of the signal to be overlooked. One such important feature is the correlation between spectral components that many signals exhibit. Cyclostationary models allow this spectral correl...

This study presents a learning approach for the face detection problem. The problem can be stated as follows: given an arbitrary black and white, still image, find the location and size of every human face it contains. Numerous applications of automatic face detection have attracted considerable interest in this problem [8, 7, 1, 5, 3, 4], but no present face detection system is completely sati...

We present a convolution-based algorithm for finding cosmic rays in single well-sampled astronomical images. The spatial filter used is the point spread function (approximated by a Gaussian) minus a scaled delta function, and cosmic rays are identified by thresholding the filtered image. This filter searches for features with significant power at spatial frequencies too high for legitimate obje...

This paper summarizes a performance evaluation of the automatic incident detection algorithm deployed by many traffic management centers across the State of Texas, USA after a few years of implementation in the field. This analysis is the first step towards improving performance of incident detection which will eventually help optimizing freeway incident management practices at these TMCs. To c...

Image classification is one of the most important tasks of remote sensing information processing used for object recognition. In this paper, a novel scheme is proposed to improve the accuracy of hyperspectral image classification by amalgamating multiple feature vector sets and ensemble methods with different classifiers. Extracting the texture, color and object features of the satellite images...

High sensitivity of a distributed optical-fiber vibration sensing (DOVS) system based on the phase-sensitivity optical time domain reflectometry (Φ-OTDR) technology also brings in high nuisance alarm rates (NARs) in real applications. In this paper, feature extraction methods of wavelet decomposition (WD) and wavelet packet decomposition (WPD) are comparatively studied for three typical field t...

Among ship detection methods for SAR image, constant false alarm rate (CFAR) is the most important one. However, several factors, such as detector parameter and distribution of ocean clutter, affect the performance of CFAR detection. This paper proposes a novel hierarchical complete and operational ship detection approach based on detector parameter estimation and clutter pixel replacement, whi...