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Data Recovery - an overview | ScienceDirect Topics
Data recovery strategies include hot sites, spare or underutilized servers, the use of noncritical servers, duplicate data centers, replacement agreements, and transferring operations to other locations. Data policies and procedures will help to prevent “disasters” caused by users.

Waste heat recoveries in data centers: A review - ScienceDirect
A review of data center cooling technology, operating conditions and the corresponding low-grade waste heat recovery opportunities Renewable and sustainable energy reviews , vol. 31 , Elsevier Ltd ( 2014 ) , pp. 622 - 638 , 10.1016/j.rser.2013.12.007

Data recovery in a case of fire-damaged Hard Disk Drives and Solid ...
Fortunately, the owners of the drives reacted quickly. All the drives were referred to the data recovery service immediately after they had been recovered. Before any attempts to read the data, the drives were disassembled, and their electronic components were removed and thoroughly cleaned with 99,9% isopropyl alcohol (IPA).

Multi-dimensional imaging data recovery via minimizing the partial sum ...
The tensor, a multi-dimensional extension of the matrix, is an important data format and has been applied in lots of real-world applications, for example, the video data recovery [1], the hyperspectral data recovery and fusion [2], [3], the personalized web search [4], and seismic data reconstruction [5].

Demonstration of all-digital burst clock and data recovery for ...
Burst clock and data recovery (BCDR) has not yet been reported on symmetrical single-wavelength 50 Gb/s PAM-4 PON over the same fiber link based on bandwidth limited optics. Various BCDR techniques have been proposed for Non-Return-to-Zero (NRZ)signals, such as phase locked loops (PLL), gated-voltage controlled oscillators (G-VCO) and over ...

Assessing post-fire forest structure recovery by combining LiDAR data ...
Post-fire forest recovery dynamics are highly complex due to their high variability and processes undergone in changing environmental conditions. LiDAR data in combination with Landsat imagery provides a unique opportunity to extrapolate information on forest structure over time for a comprehensive evaluation of forest resilience to fire.

Deep learning-based structural health monitoring - ScienceDirect
Section 3.5.1 reviews these supervised methods, while 3.5.2 Measured data recovery or prediction methods, 3.5.3 Sensor fault detection approaches discuss their applications to data recovery and sensor fault detection problems. However, due to the unique dynamic characteristics of each large-scale structure, collecting a sufficient number of ...

A comprehensive analysis of the role of artificial intelligence and ...
This research explores cutting-edge research initiatives that cross domains such as data collection and recovery, the intricate reconstruction of cybercrime timelines, robust big data analysis, pattern recognition, safeguarding the chain of custody, and orchestrating responsive strategies to hacking incidents.

Waste heat recovery technologies and applications
Techniques are considered such as direct contact condensation recovery, indirect contact condensation recovery, transport membrane condensation and the use of units such as heat pumps, heat recovery steam generators (HRSGs), heat pipe systems, Organic Rankine cycles, including the Kalina cycle, that recover and exchange waste heat with ...

Enhancing data center cooling efficiency and ability: A comprehensive ...
The spray jet cooling studies for data centers covered in this paper have heat flow densities in the range of 150–1000 kW/m 2. Even though the upper limit of heat flux in the study for data centers is 1000 kW/m 2, many of the heat flux that can be handled by spray cooling for electronic chips exceed 2000 kW/m 2 (even up to 4112 kW/m 2). It is ...

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