A Novel Adaptive Deskewing Algorithm for Document Images.

Document scanning often suffers from skewing, which may seriously influence the efficiency of Optical Character Recognition (OCR). Therefore, it is necessary to correct the skewed document before document image information analysis. In this article, we propose a novel adaptive deskewing algorithm for document images, which mainly includes Skeleton Line Detection (SKLD), Piecewise Projection Profile (PPP), Morphological Clustering (MC), and the image classification method.

TransConver: transformer and convolution parallel network for developing automatic brain tumor segmentation in MRI images.

Background: Medical image segmentation plays a vital role in computer-aided diagnosis (CAD) systems. Both convolutional neural networks (CNNs) with strong local information extraction capacities and transformers with excellent global representation capacities have achieved remarkable performance in medical image segmentation. However, because of the semantic differences between local and global features, how to combine convolution and transformers effectively is an important challenge in medical image segmentation.

Potential of ITO thin film for electrical probe memory applications.

Electrical probe memory has received considerable attention during the last decade due to its prospective potential for the future mass storage device. However, the electrical probe device with conventional diamond-like carbon capping and bottom layers encounters with large interfacial contact resistance and difficulty to match the experimentally measured properties, while its analog with titanium nitride capping and bottom layers also faces serious heat dissipation through either probe and silicon substrate. Therefore, the feasibility of using indium tin oxide (ITO) media for the capping and bottom layers of the electrical probe device is investigated by tailoring the thickness and electrothermal properties of the ITO capping and bottom layers within experimentally established range and subsequently calculating the resultant temperature at several predefined points based on a previously developed three-dimensional model.

Amorphization Optimization of Ge₂Sb₂Te₅ Media for Electrical Probe Memory Applications.

Electrical probe memory using Ge₂Sb₂Te₅ media has been considered a promising candidate in the future archival storage market due to its potential for ultra-high density and long data retention time. However, most current research efforts have been devoted to the writing of crystalline bits using electrical probe memory while ignoring the viability of writing amorphous bits. Therefore, this paper proposes a physical, realistic, full three-dimensional model to optimize the practicable media stack by spatially and temporally calculating temperature distributions inside the active media during the writing of amorphous bits.

The Experimental Demonstration of the Optimized Electrical Probe Memory for Ultra-High Density Recording.

Background: A theoretical model has been previously proposed to optimize the structure of the electrical probe memory system, whereby the optimal thickness and resistivity of DLC capping layer and TiN under layer are predicted to be 2 nm, 0.01 Ωm, and 40 nm, 2×10-7 Ωm,respectively However, there is no experimental evidence to show that such a media stack can be fabricated in reality by the time of writing and few patents regarding this intriguing topic have been reviewed and cited.

Methods: In order to realize this optimized design experimentally, the thickness dependent resistivity for both DLC and TiN film are assessed, from which it is not possible to obtain a media stack with exactly the same properties as the optimized design.

An Application of Chalcogenide Alloy Other than Storage Memory Field.

Background: The necessity to handle mechanical functionality at nanoscale has recently motivated the prosperity of the nanoelectromechanical systems (NEMs). The fabrication of NEMS strongly depends on the so-called "topdown" techniques that are however limited by the resolution of electronbeam lithography. Meanwhile, the size of the NEMS needs to be shrunk continuously in order to further enhance the system performance.

The Oxidation Behaviour of Diamond Like Carbon for Phase-Change Probe Memory Application.

Phase-change probe memory, as a promising candidate for next-generation storage device, usually requires a capping layer to protect phase-change media from wear and corrosion. Diamond-like carbon film has been commonly used for capping layer due to its high mechanical hardness and easiness for tailoring physical properties. However, the possibility for such carbon thin film to react to surrounding oxygen when subjected to Joule heating during the recording process of phase-change probe memory is rarely investigated before from both experimental and simulation point of view.

Denoising 3D MR images by the enhanced non-local means filter for Rician noise.

The non-local means (NLM) filter removes noise by calculating the weighted average of the pixels in the global area and shows superiority over existing local filter methods that only consider local neighbor pixels. This filter has been successfully extended from 2D images to 3D images and has been applied to denoising 3D magnetic resonance (MR) images. In this article, a novel filter based on the NLM filter is proposed to improve the denoising effect.