scholarly journals AN INSTRUMENTATION SYSTEM FOR WAVE MEASUREMENTS, RECORDING AND ANALYSIS

2011 ◽  
Vol 1 (7) ◽  
pp. 5
Author(s):  
H.G. Farmer ◽  
D.D. Ketchutn
Keyword(s):  
Data Acquisition ◽  
Data Storage ◽  
Dynamic Range ◽  
Digital Data ◽  
Wave Measurements ◽  
Reduction System ◽  
Wave Slope ◽  
Electronic Computers ◽  
Analogue To Digital ◽  
Digital Data Storage

For the instrumentation system to be described, it was required that the system detect the sea surface accurately, be flexible in dynamic range, be able to detect and record at least six wave records simultaneously, be able to record the data at a station remote from the detectors, and be able to convert the data from analogue to digital form for analysis by electronic computers. Two types of wave measurements were required, the wave elevation and the wave slope. Resistance wire detectors were used and the theory of their operation is presented. The data acquisition and reduction system utilize recently developed telemetry techniques. Raw data storage is on magnetic tape using an inexpensive tape recorder and the digital data storage utilizes punched paper tape. The resistance wires have proven most satisfactory for small and large waves. The data acquisition and reduction system is sufficiently general that it should have application to other type investigations.

New Trends in Digital Data Storage for the Internet of Things

2018 ◽  
Vol 6 (3) ◽  
pp. 359-363
Author(s):  
A. Saxena ◽  
◽  
S. Sharma ◽  
S. Dangi ◽  
A. Sharma ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Storage ◽  
Digital Data ◽  
The Internet ◽  
Digital Data Storage ◽  
The Internet Of Things

Analog and digital data storage in a phase-coded holographic memory

1998 ◽  
Author(s):  
Kai-Oliver Mueller ◽  
Cornelia Denz ◽  
Torsten Rauch ◽  
Thorsten Heimann ◽  
J. Trumpfheller ◽  
...  
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Holographic Memory ◽  
Digital Data Storage

Instance Selection

2011 ◽  
pp. 1041-1045
Author(s):  
Huan Liu
Keyword(s):  
Data Mining ◽  
Data Storage ◽  
Data Reduction ◽  
Effective Means ◽  
Digital Data ◽  
Data Selection ◽  
Instance Selection ◽  
Redundant Data ◽  
Performance Deterioration ◽  
Digital Data Storage

The amounts of data become increasingly large in recent years as the capacity of digital data storage worldwide has significantly increased. As the size of data grows, the demand for data reduction increases for effective data mining. Instance selection is one of the effective means to data reduction. This article introduces basic concepts of instance selection, its context, necessity and functionality. It briefly reviews the state-of-the-art methods for instance selection. Selection is a necessity in the world surrounding us. It stems from the sheer fact of limited resources. No exception for data mining. Many factors give rise to data selection: data is not purely collected for data mining or for one particular application; there are missing data, redundant data, and errors during collection and storage; and data can be too overwhelming to handle. Instance selection is one effective approach to data selection. It is a process of choosing a subset of data to achieve the original purpose of a data mining application. The ideal outcome of instance selection is a model independent, minimum sample of data that can accomplish tasks with little or no performance deterioration.

scholarly journals Computer simulation of low‐frequency electromagnetic data acquisition

Geophysics ◽  
1983 ◽  
Vol 48 (9) ◽  
pp. 1219-1232 ◽  
Author(s):  
William A. San Filipo ◽  
Gerald W. Hohmann
Keyword(s):  
Computer Simulation ◽  
Data Acquisition ◽  
Dynamic Range ◽  
Low Frequency ◽  
Noise Removal ◽  
Digital Data ◽  
Low Frequencies ◽  
Pass Filter ◽  
Natural Field ◽  
Field Noise

Computer simulation of low‐frequency electromagnetic (EM) digital data acquisition in the presence of natural field noise demonstrates several important limitations and considerations. Without a remote reference noise removal scheme, it is difficult to obtain an adequate ratio of signal to noise below 0.1 Hz for frequency‐domain processing and below 0.3 Hz base frequency for time‐domain processing for a typical source‐receiver configuration. A digital high‐pass filter substantially facilitates rejection of natural field noise above these frequencies; however, at lower frequencies where much longer stacking times are required, it becomes ineffective. Use of a remote reference to subtract natural field noise extends these low‐frequency limits by one decade, but the remote reference technique is limited by the resolution and dynamic range of the instrumentation. Gathering data in short segments so that natural field drift can be offset for each segment allows a higher gain setting to minimize dynamic range problems. The analysis is also applicable to the induced polarization technique in which similar problems arise at low frequencies in the presence of telluric noise.

Multitrack Digital Data Storage: A Reduced Complexity Architecture

2007 ◽  
Vol 43 (3) ◽  
pp. 1101-1111 ◽  
Author(s):  
Sebastien Tosi ◽  
Martin Power ◽  
Thomas Conway
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Reduced Complexity ◽  
Digital Data Storage

Design of the Tracking Controller for Holographic Digital Data Storage

2010 ◽  
Vol 15 (2) ◽  
pp. 242-252 ◽  
Author(s):  
Choong Woo Lee ◽  
Bong Sik Kwak ◽  
Chung Choo Chung ◽  
M. Tomizuka
Keyword(s):  
Data Storage ◽  
Digital Data ◽  
Tracking Controller ◽  
Digital Data Storage
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