Modeling spatio-temporal read voltages with complex distortions arising from the write and mechanisms in flash memory devices is essential for design of signal processing coding algorithms. In this work, we propose a data-driven approach to modeling NAND both space time using conditional generative networks. This (GFM) method reconstructs an individual cell based on program levels its surrounding cells, as well stamp. We evaluate model over range stamps voltage distributions, level error...

The pivotal storage density win achieved by solid-state devices over magnetic in 2015 is a result of multiple innovations physics, architecture, and signal processing. One the most important that regard enabling more than one bit per cell Flash device, i.e., having two charge levels cell. Constrained coding used to increase reliability via mitigating inter-cell interference stems from propagation among cells. Recently, capacity-achieving constrained codes were introduced serve purpose modern...

In this paper, we investigate the use of recurrent neural network (RNN)-based detection magnetic recording channels with inter-symbol interference (ISI). We refer to proposed method, which is intended for partial-response equalization, as Partial-Response Neural Network (PR-NN). train bi-directional gated units (bi-GRUs) recover ISI channel inputs from noisy output sequences and evaluate performance when applied continuous, streaming data. The computational complexity PR-NN during evaluation...

The objective of this study was to determine the toxic effect and clinical characteristics 1 mg/mL cefuroxime sodium on retinas after phacoemulsification in vitrectomized eyes.Cataract patients with eyes were studied retrospectively. Phacoemulsification combined intraocular lens implantation performed uneventfully. Best-corrected visual acuity, pressure, fundus photography, macular central thickness, angiography collected analyzed. They edema evaluate toxicity.Ninety two cases (92 eyes)...

The pivotal storage density win achieved by solid-state devices over magnetic in 2015 is a result of multiple innovations physics, architecture, and signal processing. One the most important that regard enabling more than one bit per cell Flash device, i.e., having two charge levels cell. Constrained coding used to increase reliability via mitigating inter-cell interference stems from propagation among cells. Recently, capacity-achieving constrained codes were introduced serve purpose modern...

With the reduction in device size and increase cell bit-density, NAND flash memory suffers from larger inter-cell interference (ICI) disturbance effects. Constrained coding can mitigate ICI effects by avoiding problematic error-prone patterns, but designing powerful constrained codes requires a comprehensive understanding of channel. Recently, we proposed modeling approach using conditional generative networks to accurately capture spatio-temporal characteristics read signals produced arrays...

This paper shows that the error probability of a querying policy for noisy 20 questions is upper bounded by minimum Hamming distance its matrix. Following this principle, sparse matrices with row-column constraint are constructed scenarios, where only limited areas can be detected at each round. It demonstrates promises large to ensure low queries. Moreover, proposed random block coding provide unequal error-protection capability further improve accuracy under scenarios detecting half areas....

This paper designs <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">non-adaptive querying policies</i> (NQPs) for the noisy 20 questions game based on error-correction codes. The accuracy of a specific NQP is upper bounded by function minimum distance among its codewords. As result, row-column constraint put codewords NQPs scenarios with limited detection to enlarge their improving accuracy, where means that only small number intervals can be...

In this paper, we investigate the use of recurrent neural network (RNN)-based detection magnetic recording channels with inter-symbol interference (ISI). We refer to proposed method, which is intended for partial-response equalization, as Partial-Response Neural Network (PR-NN). train bi-directional gated units (bi-GRUs) recover ISI channel inputs from noisy output sequences and evaluate performance when applied continuous, streaming data. The system on experiments were conducted uses a...

The pivotal storage density win achieved by solid-state devices over magnetic recently is a result of multiple innovations in physics, architecture, and signal processing. Constrained coding used Flash to increase reliability via mitigating inter-cell interference. Recently, capacity-achieving constrained codes were introduced serve that purpose. While these minimal redundancy, they non-negligible complexity access speed limitation since pages cannot be read separately. In this paper, we...

To conduct a new exploration and analysis of the ion fatty acid levels medium in which calcified hydrophilic intraocular lenses (IOLs) are present.Qingdao Eye Hospital Shandong First Medical University, Qingdao, China.Retrospective, laboratory observational case series.11 patients (11 eyes) who had implantation foldable acrylic posterior IOLs were found to have opacification IOLs. In vivo vitro analyses included evaluation patients' clinical characteristics, microscopy, histological...

In this paper, we investigate the use of recurrent neural network (RNN)-based detection magnetic recording channels with inter-symbol interference (ISI). We refer to proposed method, which is intended for partial-response equalization, as Partial-Response Neural Network (PR-NN). train bi-directional gated units (bi-GRUs) recover ISI channel inputs from noisy output sequences and evaluate performance when applied continuous, streaming data. The computational complexity PR-NN during evaluation...

This paper proposes a machine learning enabled missing data detection and recovery of electrical measurements based on the improved CPCAE. The proposed solution firstly accurately models generation process to generate mask then combines absolute difference sequence linear correlation as criteria detect possible segments under different signal-noise ratios (SNR). divides detected into grades reshapes origin one-dimensional two-dimensional matrices kind enhancement. Then we intuitively turn...

We propose a data-driven approach to modeling the spatio-temporal characteristics of NAND flash memory read voltages using conditional generative networks. The learned model reconstructs from an individual cell based on program levels and its surrounding cells, as well specified program/erase (P/E) cycling time stamp. evaluate over range stamps voltage distributions, level error rates, relative frequency errors for patterns most susceptible inter-cell interference (ICI) effects. conclude...