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.

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).

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.

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].

Reversible data hiding with adaptive difference recovery for encrypted ... The data extraction and image recovery mainly contain data extraction from high bits of each marked pixel and binary search on all pixels except for the reference pixels. Thus, the time complexity of data extraction and image recovery is O ( HW - n + ( HW - n ) v ) , where v is the average time complexity of binary search on all pixels except ...

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.

A review of data center cooling technology, operating conditions and ... A number of currently available and developmental low-grade waste heat recovery techniques including district/plant/water heating, absorption cooling, direct power generation (piezoelectric and thermoelectric), indirect power generation (steam and organic Rankine cycle), biomass co-location, and desalination/clean water are reviewed along with their operational requirements in order to assess ...

A systematic analysis of failures in protecting personal health data: A ... In this paper, we embrace the concept of a personal health data breach as “an incident that results in the confirmed disclosure – not just potential exposure – of [personal health] data to an unauthorized party” (Verizon, 2020, p. 4). Personal health data breaches are particularly consequential and can cause serious harm to individuals.

Social media use in disaster recovery: A systematic literature review The damage and performance issues associated with disaster impacts can be investigated and monitored with social media data. Community recovery from major disasters is often challenging without a clear understanding of the locations and extent of damage caused to key public infrastructure such as power/electricity, roads/transportation ...

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.