dynamic storage
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2021 ◽  
Author(s):  
Zequan Zhou ◽  
Yupeng Wang ◽  
Xiling Luo ◽  
Yi Bai ◽  
Xiaochao Wang ◽  
...  

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 930
Author(s):  
Niloofar Shahidi ◽  
Xuanzhi Lin ◽  
Yuda Munarko ◽  
Laila Rasmy ◽  
Tram Ngo

The Stimulating Peripheral Activity to Relieve Conditions (SPARC) program integrates biological and neural information to create anatomical and functional maps of the peripheral nervous system. The SPARC Portal hosts a dynamic storage for the datasets, models, and resources to help the researchers find and produce data. Currently, the SPARC Portal provides a primary search tool, which lacks some features to improve the search experience. To purposefully retrieve the required information from the stored datasets and resources, we have developed an Advanced QUery Architecture (AQUA) for the SPARC Portal. Near-real-time auto-completion of the queries, close-matches suggestions, and multiple filters to narrow or sort the results are the major features of AQUA with the goal to enhance the usability of the SPARC search engine. AQUA is available from: https://github.com/SPARC-FAIR-Codeathon/aqua


Author(s):  
Hongshuang Feng ◽  
Wenjuan Wu ◽  
Junyuan Wang

In the computer science community, garbage collection is a dynamic storage management technology to ensure the reliability of computer systems. In this paper, we consider two garbage collection policies to meet the goal of time consumption for a generational garbage collector when increase in objects might be unclear at discrete times for the high frequency of computer processes. That is, (a) tenuring collection is triggered at the [Formula: see text]th minor collection preventively or at a threshold amount [Formula: see text] of surviving objects correctively, and (b) major collection is made at discrete times [Formula: see text] for a given [Formula: see text] or at the [Formula: see text]th collection including minor and tenuring collections. Using the damage process and renewal theory, the expected cost rates are obtained, and their optimal policies for tenuring and major collection are discussed analytically and computed numerically.


2021 ◽  
Author(s):  
Cheng Chi ◽  
Shasha Wu ◽  
Delong Xia ◽  
Yaohua Wu

Abstract With the development of e-commerce and the improvement of logistics requirements, more and more ‘parts-to-picker’ picking systems begin to replace the inefficient ‘picker-to-parts’ picking systems in various scenarios. As the mainstream ‘parts-to-picker’ system, the robotic mobile fulfillment system has been attracting much attention in recent years. In addition to the customer's changing requirements, the rapid response of the picking system to the order is particularly important. In the above context, to seek a breakthrough in the picking system's picking efficiency without increasing the cost of additional equipment, the storage allocation of the pods becomes very important. This article focuses on the dynamic storage allocation of robotic mobile fulfillment system, which has positive theoretical and practical significance. By analyzing the pod storage process of the robotic mobile fulfillment system, a dynamic pod storage allocation model suitable for the robotic mobile fulfillment system is established with the goal of minimizing the pod handling distance. Two dynamic pod storage allocation strategies are proposed for the system. By simulating the picking systems of different scales, the effectiveness of the dynamic storage allocation strategy is verified, which has a certain reference to the operation of the robotic mobile fulfillment system in practice.


2021 ◽  
Author(s):  
Shirin Karimi ◽  
Jan Seibert ◽  
Eliza Maher Hasselquist ◽  
Kevin Bishop ◽  
Reinert Huseby Karlsen ◽  
...  

<p> One of the most important benefits of natural and restored peatlands in boreal ecosystem is their critical role in storing water and consequently reducing flood peaks at the basin outlet. Compared to forests, peatlands have been suggested to have different hydrological behaviors altering the water transit time, flood peaks and runoff volumes, but the science underpinning such statements are largely lacking. This is problematic, as peatland restoration to regain landscape hydrological functioning has become high on the management agenda. However, if it is true that peatlands behave differently they can help mitigate the impacts of both extreme flooding and drought conditions by storing large volumes of water that will delay runoff and keeping streams and rivers flowing during low flow conditions. Accordingly, an accurate estimation of potential and available volume of catchment water storage with different physical characteristics would help us to choose the best peatland management strategies for reducing flood and drought risk in the future. However, the direct estimation of water storage requires an extensive amount of field observations. Hydrological models provide an indirect estimation of water storage and allow us to compare several catchments over a wide range of spatiotemporal scales.</p><p> Here, we tested the role of peatlands by using data from 14 nested sub-catchments within a 68 km2 boreal forest landscape in Northern Sweden and then classified them into four different groups (forest on till, forest on sediment, peatlands, and mixed land cover) based on their landscape characteristics. We focused on the “dynamic storage” of catchment which directly controls the catchment streamflow generation. The simple bucket-type hydrological model, HBV-light, with a calibration period of 7 years (2010 to 2017) was deployed to simulate catchments storage dynamics. The calibration trials were repeated 100 times to assess the uncertainty of simulated results. The evaluation of model performance carried out using the coefficient of efficiency, ranged from 0.76 to 0.87. The relationship between storage characteristics and physical catchment properties such as soil depth, peatland percentage, elevation, and area were then analyzed using Spearman rank correlation.  </p><p> The results of this study shows not only high differences in dynamic storage values among the sub-catchments but also the differences in locations of dynamic storage within the soil layers of peatland dominated catchments. The variations become even greater as we aggregate the storage amounts in  shorter temporal scales. The magnitude and variability of total storage change calculated using water balance method was much higher than the dynamic storage estimated by HBV, indicating that not all the water stored in the catchments were available for draining to the stream. We also found that the total amount of dynamic storage in peatland dominated catchments were higher than the amount stored in forest on till and mixed characteristics catchments. Moreover, in peatlands, the proportion of water stored in the upper zone reservoir was much higher than the estimated amounts in other catchments (Spearman rank correlation r=0.73, p < 0.05), which also shows the ability of HBV in capturing the hydrological function of peat soils.</p>


2021 ◽  
Author(s):  
Andreas Höpfner ◽  
Olaf Poenicke ◽  
Christian Blobner ◽  
André Winge

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