DATA RECOVERY Web Results

Analysis of false lock in Mueller-Muller clock and data recovery system ... Another view suggests that data correlation is the key contributor [ [9], [10]]. In this work, we provide a comprehensive analysis of MMPD false lock and introduce an enhanced mitigation strategy, validated via simulations. Section 2 investigates the false-lock mechanism and presents an improved phase detection strategy.

Distributed neural tensor completion for network monitoring data recovery Abstract Network monitoring data is usually incomplete, accurate and fast recovery of missing data is of great significance for practical applications. The tensor-based nonlinear methods have attracted recent attentions with their capability of capturing complex interactions among data for more accurate recovery.

Waste heat recoveries in data centers: A review - ScienceDirect Waste heat recovery technology is considered as a promising approach to improve energy efficiency, achieve energy and energy cost savings, and mitigate environmental impacts (caused by both carbon emission and waste heat discharge) at the same time.

Tensor robust principal component analysis with total generalized ... Compared with the general TRPCA recovery models which only consider the global prior information, our model considers both the global and local prior information of high-dimensional data for achieving satisfactory restoration performance.

Tensor completion via joint reweighted tensor Tensor, as a generalization of vector and matrix, is a powerful tool for processing multi-dimensional data and plays a critical role in different fields of scientific computing, like color image and video inpainting [1], [2], [3], hyperspectral data recovery and classification [4], [5], [6], [7], and seismic data reconstruction [8].

GRACE Follow-On accelerometer data recovery by high-precision ... The Gravity Recovery and Climate Experiment Follow-On (GRACE-FO) satellites are equipped with high-precision three-axis accelerometers to measure all …

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.

Lost data recovery for structural vibration data based on improved U ... Verification was conducted on single-channel and multi-channel data from practical engineering of large-span bridges by comparing the recovery levels in the time and frequency domains. Different missing ratios are set, a mask matrix is used to construct random lost data, and the proposed model is used to reconstruct the lost data.

Innovative approaches for deep decarbonization of data centers and ... Innovative approaches for deep decarbonization of data centers and building space heating networks: Modeling and comparison of novel waste heat recovery systems for liquid cooling systems

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]. Among these applications, how to accurately characterize and rationally utilize the inner ...