Global Transformation Strategies for Power and Storage Size Reduction

1998 ◽  
pp. 159-178
Author(s):  
Francky Catthoor ◽  
Sven Wuytack ◽  
Eddy De Greef ◽  
Florin Balasa ◽  
Lode Nachtergaele ◽  
...  
Keyword(s):  
Size Reduction ◽  
Storage Size ◽  
And Storage

Economic order quantity and storage size — Some considerations

1990 ◽  
Vol 19 (1-3) ◽  
pp. 201-204 ◽  
Author(s):  
S.Subba Rao ◽  
Hamid Bahari-Kashani
Keyword(s):  
Economic Order Quantity ◽  
Economic Order ◽  
Order Quantity ◽  
Storage Size ◽  
And Storage

Effect of connecting rain barrels on the storage size reduction

2012 ◽  
Vol 26 (23) ◽  
pp. 3538-3551 ◽  
Author(s):  
Yongwon Seo ◽  
Nam-Jeong Choi ◽  
Daeryong Park
Keyword(s):  
Size Reduction ◽  
Storage Size ◽  
Rain Barrels

Storage Size Reduction by In-place Mapping of Arrays

2002 ◽  
pp. 167-181 ◽  
Author(s):  
Remko Tronçon ◽  
Maurice Bruynooghe ◽  
Gerda Janssens ◽  
Francky Catthoor
Keyword(s):  
Size Reduction ◽  
Storage Size

scholarly journals Process, Analyze and Visualize Telecommunication Network Configuration Data in Graph Database

2019 ◽  
Vol 07 (01) ◽  
pp. 65-76
Author(s):  
Péter Lehotay-Kéry ◽  
Attila Kiss
Keyword(s):  
Relational Database ◽  
Telecommunication Network ◽  
Graph Database ◽  
Network Configuration ◽  
Vast Number ◽  
Customer Support ◽  
Storage Size ◽  
Disk Space ◽  
Configuration Data ◽  
And Storage

In network telemetry systems, nodes produce vast number of configuration files based on how they are configured. Steps were taken to process these files into databases to help the work of the developers, testers and customer support to focus on the development and testing and to be able to give advice to the customers about how to configure the nodes. However, the processing of these data in relational database manager system is slow, hard to query and the storage takes huge disk space. In this paper, we are presenting a way to store the data produced by these nodes in graph database, changing from relational database to NoSQL environment. With our approach, one can easily represent and visualize the network of machines. In the end, we are going to compare the inserting, querying time and storage size in different database manager systems. The results could also be used for other types of configuration data too from other kinds of machines to show the connection between them and query them easily.

An Overview of Digital Image Processing and Recognition (Invited Paper)

1982 ◽  
Vol 40 ◽  
pp. 700-702
Author(s):  
R. C. Gonzalez
Keyword(s):  
Image Processing ◽  
New York ◽  
Digital Image Processing ◽  
Digital Image ◽  
Practical Implementation ◽  
Submarine Cable ◽  
Vigorous Growth ◽  
Digitized Pictures ◽  
Processing Techniques ◽  
And Storage

Interest in digital image processing techniques dates back to the early 1920's, when digitized pictures of world news events were first transmitted by submarine cable between New York and London. Applications of digital image processing concepts, however, did not become widespread until the middle 1960's, when third-generation digital computers began to offer the speed and storage capabilities required for practical implementation of image processing algorithms. Since then, this area has experienced vigorous growth, having been a subject of interdisciplinary research in fields ranging from engineering and computer science to biology, chemistry, and medicine.

Control of Secretory Production in the Isopod Hepatopancreas

1972 ◽  
Vol 30 ◽  
pp. 166-167
Author(s):  
John W. Roberts ◽  
E. R. Witkus
Keyword(s):  
B Cells ◽  
Morphological Data ◽  
Secretory Product ◽  
Secretory Function ◽  
Secretory Material ◽  
Blind Ending ◽  
Secretory Production ◽  
Regenerative Cells ◽  
Immature Cells ◽  
And Storage

The isopod hepatopancreas, as exemplified by Oniscus ascellus. is comprised of four blind-ending diverticula. The regenerative cells at the tip of each diverticula differentiate into either club-shaped B-cells, which serve a secretory function, or into conoid S-cells, which serve in the absorption and storage of nutrients.The glandular B-cells begin producing secretory material with the development of rough endoplasmic reticulum during their process of maturation from the undifferentiated regenerative cells. Cytochemical and morphological data indicate that the hepatopancreas sequentially produces two types of secretory material within the large club-shaped cells. The production of the carbohydrate-like secretory product in immature cells seems to be phased out as the production of the osmiophilic secretion was phased in as the cell matured.

Quantitative Analysis Of X-Ray Images From Geological Materials

1990 ◽  
Vol 48 (2) ◽  
pp. 244-245
Author(s):  
J. M. Paque ◽  
R. Browning ◽  
P. L. King ◽  
P. Pianetta
Keyword(s):  
Quantitative Analysis ◽  
Bulk Composition ◽  
Principal Component ◽  
Analytical Description ◽  
Bulk Sample ◽  
Geological Samples ◽  
X Ray ◽  
Software And Hardware ◽  
And Storage ◽  
Insight Into

Geological samples typically contain many minerals (phases) with multiple element compositions. A complete analytical description should give the number of phases present, the volume occupied by each phase in the bulk sample, the average and range of composition of each phase, and the bulk composition of the sample. A practical approach to providing such a complete description is from quantitative analysis of multi-elemental x-ray images.With the advances in recent years in the speed and storage capabilities of laboratory computers, large quantities of data can be efficiently manipulated. Commercial software and hardware presently available allow simultaneous collection of multiple x-ray images from a sample (up to 16 for the Kevex Delta system). Thus, high resolution x-ray images of the majority of the detectable elements in a sample can be collected. The use of statistical techniques, including principal component analysis (PCA), can provide insight into mineral phase composition and the distribution of minerals within a sample.

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