Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Age J. Eide"'
Autor:
Martin Kermit, Age J. Eide
Publikováno v:
Pattern Recognition Letters. 21:269-275
This research reports on a system able to classify different signals containing auditive information based on capture of small signal segments present in specific types of sound. After using a Haar wavelet transform at the preprocessing stage, a neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26415f3d39f24a7760d31f3bbbc635e8
https://doi.org/10.1016/s0167-8655(99)00156-7
https://doi.org/10.1016/s0167-8655(99)00156-7
Publikováno v:
Pattern Recognition Letters. 21:277-281
The breathing patterns from sleeping persons suffering from sleep apnea have been measured. A method based on the neural network-like O-algorithm has been applied to capture the onset of sleep apnea. This method is suggested as an indicator for early
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39011d34398bdb0219202a85da1000f9
https://doi.org/10.1016/s0167-8655(99)00157-9
https://doi.org/10.1016/s0167-8655(99)00157-9
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 389:251-254
In this paper we discuss the use of massively parallel hardware for data mining. An introduction to the concept is followed by some benchmark results.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3088b964ac3bc2d818e644d44239567e
https://doi.org/10.1016/s0168-9002(97)00145-9
https://doi.org/10.1016/s0168-9002(97)00145-9
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 381:502-507
This paper presents the implementation of the Dynamic Decay Adjustment (DDA) algorithm in a CNAPS parallel computer system having 128 processing nodes. The DDA algorithm has several inherent advantages, and the implementation of it in the CNAPS syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adcbeb71c9c8186567121890b318ef6c
https://doi.org/10.1016/s0168-9002(96)00761-9
https://doi.org/10.1016/s0168-9002(96)00761-9
Publikováno v:
IFAC Proceedings Volumes. 29:7470-7473
In the present paper we suggest the use of artificial neural networks in hardware for the use with star trackers on satellites. In particular micro-satellites should benefit from this low weight solution. Other features of the approach is the redunda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3197accbb0e0591f43ef9bd5cac4c887
https://doi.org/10.1016/s1474-6670(17)58890-4
https://doi.org/10.1016/s1474-6670(17)58890-4
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 368:855-858
The approach of using a conventional neural network as well as one utilizing the O-algorithm are compared in an application of particle tracking. In the latter case we control the confidence level of the results, which is a major advantage when the n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee5c0f4eee547b1c0944d66e4ff6d9e7
https://doi.org/10.1016/0168-9002(95)00707-5
https://doi.org/10.1016/0168-9002(95)00707-5
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 336:285-290
This paper describes the implementation of an analog neural network chip (Intel 80170NX ETANN) to filter a multi-signal read-out from flash-ADCs used in a liquid argon time projection chamber (ICARUS). The training and subsequent testing of the netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a77d954378ba51c19ee1a7aec9ffa4a0
https://doi.org/10.1016/0168-9002(93)91111-y
https://doi.org/10.1016/0168-9002(93)91111-y
Autor:
Jozsef Molnar, Clark S. Lindsey, Salvator Roberto Amendolia, Th. Lindblad, Bruce Denby, Age J. Eide, A. Spaziani, Geza Szekely
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 335:296-304
An analog VLSI neural network chip (ETANN) has been trained to detect secondary vertices in simulated data for a fixed target heavy flavour production experiment. The detector response and associative memory track finding were modelled by a simulatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cdacbf5ee6add96c85fb6a3e8b8c47c
https://doi.org/10.1016/0168-9002(93)90284-o
https://doi.org/10.1016/0168-9002(93)90284-o
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 327:573-579
This paper demonstrates the implementation in hardware of an electrically trainable analog neural network (ETANN) for finding the position and width (FWHM) of an ion-beam hitting a strip-detector. This is accomplished using a single ETANN chip with 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da5d6a135bc1c888e1c44ddca5729082
https://doi.org/10.1016/0168-9002(93)90727-y
https://doi.org/10.1016/0168-9002(93)90727-y
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 327:566-572
This paper describes the implementation of an analog neural network chip (Intel 80170NX) to the pad readout of a Cherenkov ring imaging detector system. A similar system has previously been tested in software in order to separate proton and pion even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f6d0096a564814d40d0a78a0388474
https://doi.org/10.1016/0168-9002(93)90726-x
https://doi.org/10.1016/0168-9002(93)90726-x