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589 results on '"Wang, Xuetao"'

1. Weight update in ferroelectric memristors with identical and non-identical pulses

Author

Lancaster, Suzanne, Remillieux, Maximilien, Engl, Moritz, Havel, Viktor, Silva, Claudia, Wang, Xuetao, Mikolajick, Thomas, and Slesazeck, Stefan

Subjects
Condensed Matter - Materials Science, Physics - Applied Physics
Abstract

Ferroelectric tunnel junctions (FTJs) are a class of memristor which promise low-power, scalable, field-driven analog operation. In order to harness their full potential, operation with identical pulses is targeted. In this paper, several weight update schemes for FTJs are investigated, using either non-identical or identical pulses, and with time delays between the pulses ranging from 1 us to 10 s. Experimentally, a method for achieving non-linear weight update with identical pulses at long programming delays is demonstrated by limiting the switching current via a series resistor. Simulations show that this concept can be expanded to achieve weight update in a 1T1C cell by limiting the switching current through a transistor operating in sub-threshold or saturation mode. This leads to a maximum linearity in the weight update of 86% for a dynamic range (maximum switched polarization) of 30 {\mu}C/cm2. It is further demonstrated via simulation that engineering the device to achieve a narrower switching peak increases the linearity in scaled devices to >93 % for the same range.

Published
2024

4. DoseDiff: Distance-aware Diffusion Model for Dose Prediction in Radiotherapy

Author

Zhang, Yiwen, Li, Chuanpu, Zhong, Liming, Chen, Zeli, Yang, Wei, and Wang, Xuetao

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Computer Science - Computer Vision and Pattern Recognition
Abstract

Treatment planning, which is a critical component of the radiotherapy workflow, is typically carried out by a medical physicist in a time-consuming trial-and-error manner. Previous studies have proposed knowledge-based or deep-learning-based methods for predicting dose distribution maps to assist medical physicists in improving the efficiency of treatment planning. However, these dose prediction methods usually fail to effectively utilize distance information between surrounding tissues and targets or organs-at-risk (OARs). Moreover, they are poor at maintaining the distribution characteristics of ray paths in the predicted dose distribution maps, resulting in a loss of valuable information. In this paper, we propose a distance-aware diffusion model (DoseDiff) for precise prediction of dose distribution. We define dose prediction as a sequence of denoising steps, wherein the predicted dose distribution map is generated with the conditions of the computed tomography (CT) image and signed distance maps (SDMs). The SDMs are obtained by distance transformation from the masks of targets or OARs, which provide the distance from each pixel in the image to the outline of the targets or OARs. We further propose a multi-encoder and multi-scale fusion network (MMFNet) that incorporates multi-scale and transformer-based fusion modules to enhance information fusion between the CT image and SDMs at the feature level. We evaluate our model on two in-house datasets and a public dataset, respectively. The results demonstrate that our DoseDiff method outperforms state-of-the-art dose prediction methods in terms of both quantitative performance and visual quality.

Published
2023

22. The Role and Function of Artificial Intelligence and the Metaverse in Smart Libraries

Author

Wang Xuetao and Gao Yan

Subjects
meta-universe, trilateration localization algorithm, collaborative filtering, similarity, smart library, 68-02, Mathematics, QA1-939
Abstract

The swift advancement of information technology has catalyzed the emergence of diverse new technical tools, presenting both significant opportunities and formidable challenges for university library service innovation. This study harnesses meta-universe technology to explore its integration with library services and to establish an architecture for an intelligent library system. It employs the trilateration positioning algorithm, among other technologies, to enhance the precision of user-targeted services within the smart library. Furthermore, the similarity of user preferences is calculated using a collaborative filtering algorithm, which is then utilized to refine the system’s recommendation mechanisms. A comprehensive research design was developed, incorporating empirical methods to evaluate the smart library system’s effectiveness from the perspectives of user satisfaction and willingness to engage with the technology. Among the ten higher education institutions evaluated, the ninth institution displayed the most favorable user experience, achieving a score of 0.757. Additionally, the study found a significant positive correlation between the variables measuring users’ willingness to use the system, ranging from 0.1 to 0.7. Notably, the strongest correlation was observed between concerns about privacy and behavioral intent, with a correlation coefficient of 0.6598. These findings underscore the critical importance of prioritizing user privacy in the development of intelligent library systems.

Published
2024
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39. Research progress in separation of low concentration coalbed methane by hydrate method

Author

Miao Xiaokun, Wang Xuetao, and Ding Kun

Subjects
Environmental sciences, GE1-350
Abstract

The recovery of methane from low concentration coalbed methane can improve the utilization rate of coalbed methane, reduce the environmental pollution caused by gas emissions, and achieve the role of energy saving and emission reduction. In this paper, the recent research progress in hydrate separation of low concentration coalbed methane is analyzed, and the effects of thermodynamic promoters, kinetic promoters and mechanical strengthening are summarized respectively. Through the analysis, it is found that the effect of promoters needs to be further studied, and the appropriate promoters should be selected to find an effective way to promote the rapid synthesis of hydrate and help to promote the technical research on the separation and purification of low concentration coalbed methane by hydrate method.

Published
2024
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