Computer storage technology

AccessScience ◽  
2015 ◽  
Keyword(s):  
Storage Technology ◽  
Computer Storage

scholarly journals Data Storage Technology: Coping by the Evolution

1994 ◽  
Vol 161 ◽  
pp. 339-346
Author(s):  
B. Pirenne
Keyword(s):  
High Resolution ◽  
Data Storage ◽  
Future Trends ◽  
Digital Form ◽  
Astronomical Data ◽  
Storage Technology ◽  
Astronomical Instruments ◽  
Data Production ◽  
Computer Storage ◽  
Software And Hardware

Modern astronomical data is now either produced directly in digital form or converted from a high resolution analog medium to digital form. These data are therefore best conserved and handled with computer techniques. This paper will first define ‘computer storage technology’ as the set of software and hardware tools needed to perform the management of an archive and the control of the archiving and redistribution operations. Various implementation choices that one faces when setting up an archive will be reviewed. The chasm between the life expectancy of the stored data and that of the equipment and procedures needed to handle it will be one of the most important points considered. Currently available technological solutions will be reviewed. Future trends of the storage technology will be discussed in comparison with the expected data production rate of the next generation astronomical instruments.

Computer storage technology

Computer ◽  
1973 ◽  
Vol 6 (9) ◽  
pp. 18-19
Author(s):  
Theodore A. Laliotis
Keyword(s):  
Storage Technology ◽  
Computer Storage

Microdensitometer—computer correlation analysis of ultrastructural periodicity

1978 ◽  
Vol 36 (2) ◽  
pp. 32-33
Author(s):  
D.R. Ensor ◽  
C.G. Jensen ◽  
J.A. Fillery ◽  
R.J.K. Baker
Keyword(s):  
Correlation Analysis ◽  
Background Noise ◽  
Computer Control ◽  
Optical Diffraction ◽  
Screw Thread ◽  
Straight Line ◽  
Computer Storage ◽  
Correlation Process ◽  
Electron Microscope Image ◽  
Fixed Beam

Because periodicity is a major indicator of structural organisation numerous methods have been devised to demonstrate periodicity masked by background “noise” in the electron microscope image (e.g. photographic image reinforcement, Markham et al, 1964; optical diffraction techniques, Horne, 1977; McIntosh,1974). Computer correlation analysis of a densitometer tracing provides another means of minimising "noise". The correlation process uncovers periodic information by cancelling random elements. The technique is easily executed, the results are readily interpreted and the computer removes tedium, lends accuracy and assists in impartiality.A scanning densitometer was adapted to allow computer control of the scan and to give direct computer storage of the data. A photographic transparency of the image to be scanned is mounted on a stage coupled directly to an accurate screw thread driven by a stepping motor. The stage is moved so that the fixed beam of the densitometer (which is directed normal to the transparency) traces a straight line along the structure of interest in the image.

Experiences with the Use of Automation for Collecting and Recording Medical-History Data

1969 ◽  
Vol 8 (02) ◽  
pp. 53-59 ◽  
Author(s):  
John Mayne
Keyword(s):  
Medical History ◽  
English Language ◽  
Medical Information ◽  
Experimental Studies ◽  
Video Screen ◽  
History Data ◽  
Computer Storage ◽  
Computer Controlled ◽  
Questionnaire Studies ◽  
Health Questionnaires

For the past several years, experimental studies have been undertaken at the Mayo Clinic to evaluate the feasibility of utilizing electronic data processing to handle medical information, especially the medical information which makes up a medical record. We have experimented with automated techniques for collecting and storing medical-history data, specifically with techniques for computer generation and processing of health questionnaires, for computer-controlled administration of health questionnaires, and for computer-controlled entry and retrieval of medical-history data directly by physicians in ordinary English language by use of a video-screen and light-pen computer terminal.The questionnaire studies are concerned with ways of entering into computer storage medical-history data obtained from patients without physician involvement; the video-screen studies are concerned with entry into computer storage of medical-history data obtained by physicians in their interview with the patient. The paper describes our experiences in these studies.

Operational Characteristics of a Geologic CO2 Storage Bulk Energy Storage Technology

2019 ◽  
Author(s):  
Jonathan Ogland-Hand ◽  
Marcos W. Miranda ◽  
Jeffrey Bielicki ◽  
Benjamin M. Adams ◽  
Thomas Buscheck ◽  
...  
Keyword(s):  
Energy Storage ◽  
Co2 Storage ◽  
Storage Technology ◽  
Energy Storage Technology ◽  
Operational Characteristics ◽  
Geologic Co2 Storage ◽  
Bulk Energy

scholarly journals Evaluating the Impacts of Smallholder Farmer’s Participation in Modern Agricultural Value Chain Tactics for Facilitating Poverty Alleviation—A Case Study of Kiwifruit Industry in Shaanxi, China

Agriculture ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 462
Author(s):  
Hongyu Wang ◽  
Xiaolei Wang ◽  
Apurbo Sarkar ◽  
Lu Qian
Keyword(s):  
Value Chain ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Poverty Reduction ◽  
Smallholder Farmers ◽  
Multidimensional Poverty ◽  
Well Being ◽  
Reduction Degree ◽  
Poverty Level ◽  
Storage Technology

Market-based initiatives like agriculture value chain (AVC) are becoming progressively pervasive to support smallholder rural farmers and assist them in entering larger market interventions and providing a pathway of enhancing their socioeconomic well-being. Moreover, it may also foster staggering effects towards the post-era poverty alleviation in rural areas and possessed a significant theoretical and practical influence for modern agricultural development. The prime objective of the study is to explore the effects of smallholder farmers’ participation in the agricultural value chain for availing rural development and poverty alleviation. Specifically, we have crafted the assessment employing pre-production (improved fertilizers usage), in-production (modern preservation technology), and post-production (supply chain) participation and interventions of smallholder farmers. The empirical data has been collected from a micro survey dataset of 623 kiwifruit farmers from July to September in Shaanxi, China. We have employed propensity score matching (PSM), probit, and OLS models to explore the multidimensional poverty reduction impact and heterogeneity of farmers’ participation in the agricultural value chain. The results show that the total number of poor farmers who have experienced one-dimensional and two-dimensional poverty is relatively high (66.3%). We also find that farmers’ participation in agricultural value chain activities has a significant poverty reduction effect. The multidimensional poverty level of farmers using improved fertilizer, organizational acquisition, and using storage technology (compared with non-participating farmers) decreased by 30.1%, 46.5%, and 25.0%, respectively. The multidimensional poverty reduction degree of male farmers using improved fertilizer and participating in the organizational acquisition is greater than that of women. The multidimensional poverty reduction degree of female farmers using storage and fresh-keeping technology has a greater impact than the males using storage and improved storage technology. Government should widely promote the value chain in the form of pre-harvest, production, and post-harvest technology. The public–private partnership should also be strengthened for availing innovative technologies and infrastructure development.

scholarly journals Iterative Methods for the Computation of the Perron Vector of Adjacency Matrices

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1522
Author(s):  
Anna Concas ◽  
Lothar Reichel ◽  
Giuseppe Rodriguez ◽  
Yunzi Zhang
Keyword(s):  
Iterative Methods ◽  
Adjacency Matrix ◽  
Lanczos Method ◽  
Power Method ◽  
Arnoldi Method ◽  
Multiple Eigenvalues ◽  
Computer Storage ◽  
Adjacency Matrices ◽  
Lanczos Methods ◽  
Perron Vector

The power method is commonly applied to compute the Perron vector of large adjacency matrices. Blondel et al. [SIAM Rev. 46, 2004] investigated its performance when the adjacency matrix has multiple eigenvalues of the same magnitude. It is well known that the Lanczos method typically requires fewer iterations than the power method to determine eigenvectors with the desired accuracy. However, the Lanczos method demands more computer storage, which may make it impractical to apply to very large problems. The present paper adapts the analysis by Blondel et al. to the Lanczos and restarted Lanczos methods. The restarted methods are found to yield fast convergence and to require less computer storage than the Lanczos method. Computed examples illustrate the theory presented. Applications of the Arnoldi method are also discussed.

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