The relationships between hit, remember, and false alarm rates were examined across individual subjects in three remember-know experiments in order to determine whether signal detection theory would be consistent with the observed data. The experimental data differed from signal detection predictions in two critical ways. First, remember reports were unrelated, or slightly negatively related, t...

Modern products frequently feature monitors designed to detect actual or impending malfunctions. False alarms (Type I errors) or excessive delays in detecting real malfunctions (Type II errors) can seriously reduce monitor utility. Sound engineering practice includes physical evaluation of error rates. Type II error rates are relatively easy to evaluate empirically. However, adequate evaluation...

To solve the problem of indoor surveillance, this paper is concerned about the framework that allows the detection of moving objects based on IP camera. The current background subtraction algorithms cannot correctly classify foreground and background if there are sudden illumination changes. To eliminate the influence of illumination changes, intensity flicker correction technique is employed b...

Nestling begging in the absence of parents may reflect ‘‘false alarms’’ due to cognitive constraints or signaling activity toward nest mates (sibling negotiation). According to signal detection theory, cognitive constraints should result in both false alarms (begging in the absence of parents or to inappropriate stimuli) and misses (failure to beg during parental visits). In our study of house ...

We previously reported a case study of a man with right frontal lobe damage, BG, who showed extraordinarily high false alarm rates on remember-know recognition tests (Schacter, D. L. et al., Neuropsychologia, 1996, Vol. 34, pp. 793-808). Experiment 1 extends his high false alarm rate to yes-no recognition tests. BG typically gives false 'remember' responses on remember-know tests, and this patt...

The strong drive toward ubiquitous networks through end system mobility has made it necessary to include wireless networks, such as wireless local area networks (LANs) and satellite networks. Networks with wireless links suffer from significant packet-losses due to bit errors. The congestion detection mechanism of congestion control based on dynamic window flow control, which is widely used for...

This article presents a robust probabilistic method for the detection of context-sensitive spelling errors. The algorithm identifies lessfrequent grammatical constructions and attempts to transform them into more-frequent constructions while retaining similar syntactic structure. If the transformations result in lowfrequency constructions, the text is likely to contain an error. A first unsuper...

In this paper we present an efficient block-based fragile watermarking system for tamper localization and recovery of images. We apply the Cyclic Redundancy Checksum (CRC) to authenticate the feature of a block stored in a pair of mapping blocks. The proposed scheme localizes the tampered area irrespective of the gray value, and the detection strategy is designed in such a way to reduce false a...

In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT colonoscopy. This method can be used to reduce the false alarms introduced by rectal tubes in current polyp detection algorithms. The method is hierarchical, detecting parts of the tube in increasing order of complexity, from tube cross sections...

One of the most popular multivariate statistical methods used for signals based process monitoring and data compression is the Dynamic Principal Component Analysis. This method computes the orthogonal principal directions assuming stationarity in the time series of the process, however, if observations are not stationary, false alarms could be generated during the fault detection and isolation ...