Logical-qubit operations in an error-detecting surface code

Quantifying the uncertainty of event detection in full motion video

Algorithms for the detection and tracking of objects can be combined into a system that automatically extracts relevant events from a large amount of video data. Such a system , can be particularly useful in video surveillance applications, notably to support analysts in retrieving information from hours of video while working under strict time...

Comparison of six commercial ELISA kits for their specificity and sensitivity in detecting different major peanut allergens

Six commercial peanut enzyme-linked immunosorbent assay kits were assessed for their ability to recover peanut from the standard reference material 2387 peanut butter and also for their specificity in detecting four major peanut allergens, Ara h 1, Ara h 2, Ara h 3, and Ara h 6. The percentage recovery of peanut from peanut butter differed...

Error-related EEG patterns during tactile human-machine interaction

Recently, the use of brain-computer interfaces (BCIs) has been extended from active control to passive detection of cognitive user states. These passive BCI systems can be especially useful for automatic error detection in human-machine systems by recording EEG potentials related to human error processing. Up to now, these so-called error...

Delay analysis and optimization of bandwidth request under unicast polling in IEEE 802.16e over gilbert-elliot error channel

In the centralized polling mode in IEEE 802.16e, a base station (BS) polls mobile stations (MSs) for bandwidth reservation in one of three polling modes; unicast, multicast, or broadcast pollings. In unicast polling, the BS polls each individual MS to allow to transmit a bandwidth request packet. This paper presents an analytical model for the...

Trader: Reliability of high-volume consumer products : A collaborative research project on the reliability of complex embedded systems

Comparing classifiers for pronunciation error detection

Providing feedback on pronunciation errors in computer assisted language learning systems requires that pronunciation errors be detected automatically. In the present study we compare four types of classifiers that can be used for this purpose: two acoustic-phonetic classifiers (one of which employs linear-discriminant analysis (LDA)), a...

An open-set detection evaluation methodology applied to language and emotion recognition

This paper introduces a detection methodology for recognition technologies in speech for which it is dif cult to obtain an abundance of non-target classes. An example is language recognition, where we would like to be able to measure the detection capability of a single target language without confounding with the modeling capability of non...

Automatic discrimination between laughter and speech

Emotions can be recognized by audible paralinguistic cues in speech. By detecting these paralinguistic cues that can consist of laughter, a trembling voice, coughs, changes in the intonation contour etc., information about the speaker’s state and emotion can be revealed. This paper describes the development of a gender-independent laugh detector...

Automatic detection of frequent pronunciation errors made by L2-learners

In this paper, we present an acoustic-phonetic approach to automatic pronunciation error detection. Classifiers using techniques such as Linear Discriminant Analysis and Decision Trees were developed for three sounds that are frequently pronounced incorrectly by L2-learners of Dutch: /a/, /y/ and /x/. This paper will focus mainly on the problems...