scholarly journals Influence of a Sulphur Dioxide Active Storage System on the Quality of Ribes rubrum L. Berries

2021 ◽  
pp. 279-288
Author(s):  
Luca Brondino ◽  
Davide Cadario ◽  
Nicole Giuggioli
Keyword(s):  
Sulphur Dioxide ◽  
Storage System ◽  
Active Storage

UML Based Design Approach for Storage System of Nano-Satellite

2014 ◽  
Vol 599-601 ◽  
pp. 530-533
Author(s):  
Hong Hao Wang ◽  
Hui Quan Wang ◽  
Zhong He Jin
Keyword(s):  
Storage System ◽  
Unified Modeling Language ◽  
Object Oriented ◽  
Modeling Language ◽  
Nand Flash ◽  
Unified Modeling ◽  
Object Oriented Design ◽  
High Level Modeling ◽  
High Level

Due to the complex timing sequence of NAND flash, a unified design process is urgently required to guarantee the reliability of storage system of nano-satellite. Unified Modeling Language (UML) is a widely used high level modeling language for object-oriented design. This paper adopts the UML as the design and modelling tool in the low level storage system design to elaborate the UML application in each phase of design in detail. The result shows taking UML as the modelling tool results in a clear and unambiguity design, which promotes the reliability and quality of software. At last, the feasibility of object-oriented implementation in C is presented.

scholarly journals Mortality of insects and quality of maize grains in hermetic and non-hermetic storage

2016 ◽  
Vol 20 (5) ◽  
pp. 487-492 ◽  
Author(s):  
Priscila C. Viebrantz ◽  
Lauri L. Radunz ◽  
Rafael G. Dionello
Keyword(s):  
Storage System ◽  
Alternative Methods ◽  
Modified Atmosphere ◽  
Chemical Methods ◽  
Hermetic Storage ◽  
Insect Mortality ◽  
Polyethylene Bags ◽  
Maize Grain ◽  
Storage Units

ABSTRACT Due to the need to improve the quality and safety of foods, chemical methods used to control grain pests have been replaced by alternative methods. For example, modified atmosphere within the storage units has been used. Therefore, the objective was to evaluate maize grain quality and mortality of insects of the species Sitophilus zeamais and Tribolium castaneum in hermetic and non-hermetic environments for 50 days of storage. The hermetic units consisted of polyethylene "bags" with capacity for 60 kg. A cage with 20 adults of each species and 200 g of maize was placed inside each unit. The oxygen level was quantified every five days. Evaluations of insect mortality and survival occurred at 10, 20, 30, 40 and 50 days of storage. At 0, 30 and 50 days, density, moisture and fungal incidence analyses were conducted. The airtight system is efficient in the control of insects, with satisfactory mortality values for both species. Insects favor the development of fungi during the storage, regardless of the storage system.

Lichens as Biomonitors of Sulphur Dioxide Pollution in La Spezia (Northern Italy)

1990 ◽  
Vol 22 (3) ◽  
pp. 333-344 ◽  
Author(s):  
P. L. Nimis ◽  
M. Castello ◽  
M. Perotti
Keyword(s):  
Data Analysis ◽  
Sulphur Dioxide ◽  
Sampling Strategy ◽  
Statistical Correlation ◽  
Northern Italy ◽  
Automatic Mapping ◽  
Olive Trees ◽  
Very High ◽  
Scale Data

AbstractLichens epiphytic on olive trees were used as biomonitors of sulphur dioxide pollution in La Spezia (Northern Italy). The method adopted was designed to avoid subjectivity at all stages, from the sampling strategy to data analysis. Thus, lichen data are expressed by an index that does not depend on any sensitivity scale; data analysis relies on multivariate methods of classification and ordination, and the pollution maps have been produced by automatic mapping programmes. The index, based on the frequency of species within a sampling grid, showed a very high statistical correlation with pollution data measured by recording gauges. The results of classification and ordination indicate that Parmelia caperata is the species with a distribution best related to the lichen index. The quality of air pollution data obtained from biomonitors is discussed.

Data Storage in Cloud Based Real-Time Environments

2011 ◽  
pp. 236-258
Author(s):  
Sai Narasimhamurthy ◽  
Malcolm Muggeridge ◽  
Stefan Waldschmidt ◽  
Fabio Checconi ◽  
Tommaso Cucinotta
Keyword(s):  
Quality Of Service ◽  
Real Time ◽  
Data Storage ◽  
Storage System ◽  
Cloud Environment ◽  
Last Mile ◽  
Service Oriented ◽  
Real Time Applications ◽  
Direct Applicability

The service oriented infrastructures for real-time applications (“real-time clouds1”) pose certain unique challenges for the data storage subsystem, which indeed is the “last mile” for all data accesses. Data storage subsystems typically used in regular enterprise environments have many limitations which impedes direct applicability for such clouds, particularly in their ability to provide Quality of Service (QoS) for applications. Provision of QoS within storage is possible through a deeper understanding of the behaviour of the storage system under a variety of conditions dictated by the application and the network infrastructure. We intend to arrive at a QoS mechanism for data storage keeping in view the important parameters that come into play for the storage subsystem in a soft real-time cloud environment.

Monitoring of a Grid Storage Virtualization Service

2013 ◽  
Vol 5 (1) ◽  
pp. 53-69
Author(s):  
Jacques Jorda ◽  
Aurélien Ortiz ◽  
Abdelaziz M’zoughi ◽  
Salam Traboulsi
Keyword(s):  
Monitoring System ◽  
Data Storage ◽  
Large Scale ◽  
Distributed Storage ◽  
Storage System ◽  
Data Access ◽  
Data Placement ◽  
Workload Prediction ◽  
Storage Virtualization

Grid computing is commonly used for large scale application requiring huge computation capabilities. In such distributed architectures, the data storage on the distributed storage resources must be handled by a dedicated storage system to ensure the required quality of service. In order to simplify the data placement on nodes and to increase the performance of applications, a storage virtualization layer can be used. This layer can be a single parallel filesystem (like GPFS) or a more complex middleware. The latter is preferred as it allows the data placement on the nodes to be tuned to increase both the reliability and the performance of data access. Thus, in such a middleware, a dedicated monitoring system must be used to ensure optimal performance. In this paper, the authors briefly introduce the Visage middleware – a middleware for storage virtualization. They present the most broadly used grid monitoring systems, and explain why they are not adequate for virtualized storage monitoring. The authors then present the architecture of their monitoring system dedicated to storage virtualization. We introduce the workload prediction model used to define the best node for data placement, and show on a simple experiment its accuracy.

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