DATA RECOVERY Web Results

Data Recovery - an overview | ScienceDirect Topics 1.2.2.3 Data recovery. At the data maintenance stage of the Cloud data life cycle, replicas could be lost due to storage failures. In order to either restore the redundancy level of the Cloud data or prevent the data from total loss, data recovery is needed. At this stage, certain mechanisms are conducted to recover the lost replicas.

Missing measurement data recovery methods in structural health ... The missing sensor data is treated as an unknown variable for data recovery, decoding vector y l, and determining the decoding measurement matrix Φ l according to the missing data case. The generated measurement matrix needs to ensure that the random matrix has sufficient sparsity and randomness to ensure the performance of the CS algorithm.

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).

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

Spatial-temporal traffic speed patterns discovery and incomplete data ... Missing data is an inevitable and ubiquitous problem in data-driven intelligent transportation systems. While there are several studies on the missing traffic data recovery in the last decade, it is still an open issue of making full use of spatial-temporal traffic patterns to improve recovery performance.

Nonconvex 3D array image data recovery and pattern recognition under ... Under the tensor framework, we develop the new weighted t-Schatten-p quasi-norm regularizer in the Fourier domain for multi-dimensional datasets, which appears to be feasible in 3D data decomposition in terms of the recovery of the low-rank part and the sparse part, respectively.

Waste heat recovery in a data center with an adsorption chiller ... Hence, the adsorption chiller, a thermally-driven chiller, is used for data center waste heat recovery [29], where initial efforts have focused on waste heat recovery from supercomputing clusters [30], [31]. A detailed interplay of system parameters, thermodynamic performance and economic benefits must be further assessed for such implementation.

An economic analysis of waste heat recovery and utilization in data ... Recycling waste heat from data centers is an effective way to address global climate change and achieve sustainable energy development. But at present, the development of the data center waste heat (DCWH) recovery and utilization industry is slow in China, and further research about the economics of such projects is necessary.

High-resolution spatially resolved proteomics of complex tissues based ... Spatial barcodes and UMI sequences were extract from read1 of the original sequencing data using the seqkit (v2.0.0) tool. 58 The STARsolo (v2.7.10b) 57 was then utilized to process the spatial transcriptomic data by aligning to the mouse reference genome (mm10), obtaining the raw gene expression matrix for spatial transcriptomics. The spatial ...

Grade-recovery curves: A new approach for analysis of and predicting ... Flotation performance is most commonly represented using grade-recovery curves, with a shift upwards and to the right indicating an improvement in performance. The problem with using grade recovery curves, especially on plant data, is that position and shape of the curve is strongly influenced by both the feed rate and grade to the circuit.