DATA RECOVERY Web Results

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.

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.

Tensor network decomposition for data recovery: Recent advancements and ... Tensor network (TN) decomposition stands as a pivotal technique for characterizing the essential features of high-dimensional data, attracting significant interest and achieving notable success in high-dimensional data recovery.

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.

A neural tensor decomposition model for high-order sparse data recovery When faced with high missing ratios or sparse observed sets, the recovery results become less ideal [20]. More importantly, the nonlinear information in the data may obscure the low rankness and the model performance may be hindered by the multi-linear hypothesis in the decomposition, making it fail to capture the nonlinear features [21].

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.

Dual-domain low-rank tensor completion for traffic data recovery However, due to the malfunctions in sensing devices or communication networks, missing data phenomena are ubiquitous in the real world and thus pose formidable challenges to network management. Recent studies successfully exploit a low-rank property of traffic tensor data for missing data recovery.

Demonstration of all-digital burst clock and data recovery for ... We experimentally demonstrated all-digital burst clock and data recovery (BCDR) for symmetrical single-wavelength 50 Gb/s four-level amplitude modulat…

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.

All-digital clock and data recovery circuit for USB applications in 65 ... An all-digital clock and data recovery (CDR) circuit is proposed in this work. The modified structure of multi-level bang-bang phase detector (BBPD) i…