Zobrazeno 1 - 10
of 3 018
pro vyhledávání: '"Kang Hong"'
Publikováno v:
Meikuang Anquan, Vol 53, Iss 4, Pp 113-120 (2022)
In order to solve the problem of asymmetric large deformation control of steep coal seam roadway, taking steep coal-rock interbedded roadway in Zhaojiaba Mine as the engineering background, the asymmetric deformation mechanism of steep coal seam road
Externí odkaz:
https://doaj.org/article/0eb3f62da49e4384be9c74936717866e
Autor:
Li, Yikun, Zhang, Ting, Widyasari, Ratnadira, Tun, Yan Naing, Nguyen, Huu Hung, Bui, Tan, Irsan, Ivana Clairine, Cheng, Yiran, Lan, Xiang, Ang, Han Wei, Liauw, Frank, Weyssow, Martin, Kang, Hong Jin, Ouh, Eng Lieh, Shar, Lwin Khin, Lo, David
Accurate identification of software vulnerabilities is crucial for system integrity. Vulnerability datasets, often derived from the National Vulnerability Database (NVD) or directly from GitHub, are essential for training machine learning models to d
Externí odkaz:
http://arxiv.org/abs/2411.17274
Publikováno v:
工程科学学报, Vol 43, Iss 8, Pp 1073-1080 (2021)
Ionomer is an important part of the catalytic layer in proton exchange membrane fuel cell. Its main role is to conduct protons. We investigated the effect of ionomer on the durability of Pt/C catalyst using rotating disk electrode (RDE) under two mod
Externí odkaz:
https://doaj.org/article/c62bdcbb3f524ee4ae7f67f55b757088
Publikováno v:
Cailiao gongcheng, Vol 49, Iss 6, Pp 66-76 (2021)
3D printing as an important, fast-growing manufacturing technology is triggering major innovations in many fields, such as medicine, aerospace, automobile and food. The main advantages of 3D printing include design freedom, mass customization, waste
Externí odkaz:
https://doaj.org/article/a360b267c34849e484dbf64fa781a61f
U-Net is currently the most widely used architecture for medical image segmentation. Benefiting from its unique encoder-decoder architecture and skip connections, it can effectively extract features from input images to segment target regions. The co
Externí odkaz:
http://arxiv.org/abs/2409.14676
We present a comprehensive dataset of Java vulnerability-fixing commits (VFCs) to advance research in Java vulnerability analysis. Our dataset, derived from thousands of open-source Java projects on GitHub, comprises two variants: JavaVFC and JavaVFC
Externí odkaz:
http://arxiv.org/abs/2409.05576
As Deep Neural Networks (DNNs) rapidly advance in various fields, including speech verification, they typically involve high computational costs and substantial memory consumption, which can be challenging to manage on mobile systems. Quantization of
Externí odkaz:
http://arxiv.org/abs/2407.08991
Autor:
Kang Hong, Xiao-Yuan Chen, Yu Chen, Ming-Shun Zhang, Jia-Lei Wang, Shan Jiang, Zhou Pang, Han-Mei Yang, Ning Xue, Hua-Yu Gou, Lei Zeng
Publikováno v:
IEEE Journal of the Electron Devices Society, Vol 7, Pp 925-930 (2019)
Performance characterization for long-time operation of cryogenic SiC MOSFETs remains as a challenge that requires further investigation. This paper presents experimental investigations into temperature and current dependent on-state resistance behav
Externí odkaz:
https://doaj.org/article/7e523478f34e431ba582cc8f44eec2f8
Speaker-Independent Acoustic-to-Articulatory Inversion through Multi-Channel Attention Discriminator
Autor:
Chung, Woo-Jin, Kang, Hong-Goo
We present a novel speaker-independent acoustic-to-articulatory inversion (AAI) model, overcoming the limitations observed in conventional AAI models that rely on acoustic features derived from restricted datasets. To address these challenges, we lev
Externí odkaz:
http://arxiv.org/abs/2406.17329
This paper introduces a novel task in generative speech processing, Acoustic Scene Transfer (AST), which aims to transfer acoustic scenes of speech signals to diverse environments. AST promises an immersive experience in speech perception by adapting
Externí odkaz:
http://arxiv.org/abs/2406.12688