MODIFICATION OF METHODOLOGY OF WAVELET-ANALYSIS IS FOR EXPOSURE OF ANOMALIES IN TRAFFIC OF COMPUTER NETWORK

The Materials Science Department at Iowa State University has developed a laboratory designed to improve instruction in the use of the scanning electron microscope (SEM). The laboratory makes use of a computer network and a series of remote workstations in a classroom setting to provide students with increased hands-on access to the SEM. The laboratory has also been equipped such that distance learning via the internet can be achieved.A view of the laboratory is shown in Figure 1. The laboratory consists of a JEOL 6100 SEM, a Macintosh Quadra computer that acts as a server for the network and controls the energy dispersive spectrometer (EDS), four Macintosh computers that act as remote workstations, and a fifth Macintosh that acts as an internet server. A schematic layout of the classroom is shown in Figure 2. The workstations are connected directly to the SEM to allow joystick and computer control of the microscope. An ethernet connection between the Quadra and the workstations allows students seated there to operate the EDS. Control of the microscope and joystick is passed between the workstations by a switch-box assembly that resides at the microscope console. When the switch-box assembly is activated a direct serial line is established between the specified workstation and the microscope via the SEM’s RS-232.

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Wavelet analysis of EEG for theta activity monitoring as an alternative to fast fourier transform-based analysis

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88508-6 ◽

1997 ◽

Vol 103 (1) ◽

pp. 116

Author(s):

S Angioni

Keyword(s):

Fourier Transform ◽

Wavelet Analysis ◽

Fast Fourier Transform ◽

Activity Monitoring ◽

Theta Activity

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P366 Atrial depolarization assessed with wavelet analysis in patients with paroxysmal atrial fibrillation

European Heart Journal ◽

10.1016/s0195-668x(03)93804-8 ◽

2003 ◽

Vol 24 (5) ◽

pp. 42

Author(s):

V VASSILIKOS

Keyword(s):

Atrial Fibrillation ◽

Wavelet Analysis ◽

Paroxysmal Atrial Fibrillation

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Classification of Acceleration Waveforms during Walking by Wavelet Transform

Methods of Information in Medicine ◽

10.1055/s-0038-1636855 ◽

1997 ◽

Vol 36 (04/05) ◽

pp. 356-359 ◽

Cited By ~ 27

Author(s):

M. Sekine ◽

M. Ogawa ◽

T. Togawa ◽

Y. Fukui ◽

T. Tamura

Keyword(s):

Wavelet Transform ◽

Wavelet Analysis ◽

Center Of Gravity ◽

Dynamic Responses ◽

Sequential Data ◽

Acceleration Signal ◽

Continuous Dynamic

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.

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Study of Identification Method of Drunk Driving Based on Wavelet Analysis

ICCTP 2011 ◽

10.1061/41186(421)230 ◽

2011 ◽

Author(s):

Xing-jian Zhang ◽

Xiao-hua Zhao ◽

Jian Rong ◽

Shi-li Xu

Keyword(s):

Wavelet Analysis ◽

Drunk Driving ◽

Identification Method

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Efficiency of application of the phase-chronometric method and neurodiagnostics for monitoring the degradation of rolling bearings during operation

Izmeritel`naya Tekhnika ◽

10.32446/0368-1025it.2020-7-43-50 ◽

2020 ◽

pp. 43-50

Author(s):

A.S. Komshin ◽

K.G. Potapov ◽

V.I. Pronyakin ◽

A.B. Syritskii

Keyword(s):

Life Cycle ◽

Wavelet Analysis ◽

Metrological Support ◽

Rolling Bearing ◽

Technical Condition ◽

Measurement Information ◽

Rolling Bearings ◽

Vibration Diagnostics ◽

Bearing Life ◽

Alternative Approach

The paper presents an alternative approach to metrological support and assessment of the technical condition of rolling bearings in operation. The analysis of existing approaches, including methods of vibration diagnostics, envelope analysis, wavelet analysis, etc. Considers the possibility of applying a phase-chronometric method for support on the basis of neurodiagnostics bearing life cycle on the basis of the unified format of measurement information. The possibility of diagnosing a rolling bearing when analyzing measurement information from the shaft and separator was evaluated.

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