Separation and storage method for the elements of map image and the experimental system

1988 ◽  
Vol 19 (9) ◽  
pp. 77-91
Author(s):  
Wataru Kameyama ◽  
Hideyuki Oka ◽  
Hideyoshi Tominaga
Keyword(s):  
Experimental System ◽  
Storage Method ◽  
And Storage

scholarly journals Modern concepts of conversion and storage of energy by dispersed materials absorption

2002 ◽  
Vol 34 (3) ◽  
pp. 247-259
Author(s):  
Dragica Minic-Popovic ◽  
M.V. Susic
Keyword(s):  
Research And Development ◽  
Metal Hydride ◽  
Development Stage ◽  
Ease Of Use ◽  
Glass Microsphere ◽  
Carbon Clusters ◽  
Storage Method ◽  
Advantages And Disadvantages ◽  
Storage Methods ◽  
And Storage

Once hydrogen is generated, the question asked: How do we store hydrogen? Hydrogen can be stored in a variety of ways, each with specific advantages and disadvantages. The overall criteria for choosing a storage method should be safety and ease of use. Described in this paper and listed below are different storage methods available today (compressed hydrogen, liquid carrier storage, glass microsphere, chemically stored hydrogen) in addition to some techniques that are still in the research and development stage: power balls, metal hydride tanks and carbon clusters.

A Distributed Data Storage Method Based on Integrated Threshold

2011 ◽  
Vol 268-270 ◽  
pp. 595-600
Author(s):  
Yi Liu
Keyword(s):  
Energy Consumption ◽  
Data Storage ◽  
Hot Spots ◽  
Group Analysis ◽  
Distributed Data ◽  
Distributed Data Storage ◽  
Storage Method ◽  
Consumption Data ◽  
And Storage ◽  
Failure Node

Based on the analysis and study of the data storage strategy in wireless sensor networks, this paper presents a distributed data storage method based on sleep scheduling to resolve the problems of network imbalance and storage hot spots problems.Finally, multi group analysis of simulate experiments results show that compared to other data storage method the distributed data storage method based on composite threshold have obviously advantages on the sides of overall energy consumption,data storage capacity,the number of failure node and data quality,thus have a significant effect on reducing energy consumption and extending network life cycle.

scholarly journals Influence of different storage conditions on the occurrence of Enterococci in smear ripened cheeses

10.5219/1361 ◽  
2020 ◽  
Vol 14 ◽  
pp. 1131-1136
Author(s):  
Olga Cwiková ◽  
Gabriela Franke
Keyword(s):  
Temperature Regime ◽  
Statistical Difference ◽  
Storage Period ◽  
Storage Conditions ◽  
Storage Method ◽  
Temperature Regimes ◽  
And Storage

The number of enterococci was monitored in smear-ripened cheeses stored under different temperature regimes. Sampling and subsequent analyses were performed on the day of manufacture (A/0 = B/0 = C/0), at the end of BBD (A/35, B/35, C/35), two weeks after BBD (A/49, B/49), and eight weeks after BBD (C/91). No statistical difference (p >0.05) was found in the numbers of enterococci in cheeses stored under different temperature regimes until the Best-Before date or at the end of monitoring after 49 and 91 days respectively. At the beginning of storage (A/0, B/0, C/0), the numbers of enterococci in cheeses were 2.3 log CFU.g-1. The highest number of enterococci was recorded after 49 days of storage at 6 °C at 5.4 log CFU.g-1. During storage, there was an increase (p <0.05) in the numbers of enterococci in all types of temperature regimes. Enterococci content was influenced (p <0.05) by both the storage period and storage method (temperature regime).

scholarly journals Expandable Substrate Module and Storage Network Compatible w/ BitBadges

2021 ◽  
Author(s):  
Andrew Kamal
Keyword(s):  
Grant Proposal ◽  
Third Party ◽  
Network Module ◽  
Storage Method ◽  
Storage Network ◽  
Development Experience ◽  
The Difference ◽  
And Storage

(THIS IS THE MIRROR OF A GRANT PROPOSAL). We are working on creating a storage network module on substrate compatible w/ the BitBadges blockchain. This will allow for substrate to interact in a meaningful way with the BitBadges ecosystem, which follows an experimental PoCP or Proof of Computation proof.Other projects like Crust or Subspace are within the same realm of trying to create some form of storage network. The difference is how BitBadges goes about accomplishing this and what a substrate module as an integration will provide. BitBadges as a whole is working on offline-centric networks and integrating variations of distributing sharding algorithms. Their data is transmitted w/ CouchDB being an integral part of its core for node syncronization. BitBadges is also integrating w/ various third party networks viewed as either pegs or applications.We believe that the substrate ecosystem can provide another integration w/ our network and we might even be able to create something similar to what Crust is doing on their mainnet, but w/ BitBadges as the storage method or a mirrored peg for the data. Our team, which is currently just two people, are passionate and have years of blockchain development experience under our belts. We think Substrate can work great as one of our third party integrations or pegged chains.

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