Zobrazeno 1 - 10
of 58 413
pro vyhledávání: '"Kim In Soo"'
Publikováno v:
Nanophotonics, Vol 13, Iss 7, Pp 1049-1057 (2024)
Silicon (Si) offers cost-effective production and convenient on-chip integration for photodetection due to its well-established CMOS technology. However, the indirect bandgap of Si inherently limits its detection efficiency in the near-infrared (NIR)
Externí odkaz:
https://doaj.org/article/3fd32146e5b74db1a2e7cbdef8ce610d
Interconnection networks, or `interconnects,' play a crucial role in administering the communication among computing units of high-performance computing (HPC) systems. Efficient provisioning of interconnects minimizes the processing delay wherein com
Externí odkaz:
http://arxiv.org/abs/2409.13281
Internet of Things (IoT) devices are deployed in the filed, there is an enormous amount of untapped potential in local computing on those IoT devices. Harnessing this potential for indoor localization, therefore, becomes an exciting research area. Co
Externí odkaz:
http://arxiv.org/abs/2409.00078
This paper aims to adapt the source model to the target environment, leveraging small user feedback (i.e., labeled target data) readily available in real-world applications. We find that existing semi-supervised domain adaptation (SemiSDA) methods of
Externí odkaz:
http://arxiv.org/abs/2407.15383
Wi-Fi fingerprinting is widely applied for indoor localization due to the widespread availability of Wi-Fi devices. However, traditional methods are not ideal for multi-building and multi-floor environments due to the scalability issues. Therefore, m
Externí odkaz:
http://arxiv.org/abs/2407.13303
Publikováno v:
IEEE Sensors Journal, Early Access, 12 September 2024
In this paper, we present a new solution to the problem of large-scale multi-building and multi-floor indoor localization based on linked neural networks, where each neural network is dedicated to a sub-problem and trained under a hierarchical stage-
Externí odkaz:
http://arxiv.org/abs/2407.13288
This report describes the submission of HYU ASML team to the IEEE Signal Processing Cup 2024 (SP Cup 2024). This challenge, titled "ROBOVOX: Far-Field Speaker Recognition by a Mobile Robot," focuses on speaker recognition using a mobile robot in nois
Externí odkaz:
http://arxiv.org/abs/2407.11365
We propose a novel two-stage text-to-speech (TTS) framework with two types of discrete tokens, i.e., semantic and acoustic tokens, for high-fidelity speech synthesis. It features two core components: the Interpreting module, which processes text and
Externí odkaz:
http://arxiv.org/abs/2406.17310
Publikováno v:
Nanophotonics 12.13 (2023): 2415-2423
We propose a metasurface antenna capable of real time holographic beam steering. An array of reconfigurable dipoeles can generate on demand far field patterns of radiation through the specific encoding of meta atomic states. i.e., the configuration o
Externí odkaz:
http://arxiv.org/abs/2406.14585
In this paper, we conduct a study to utilize LLMs as a solution for decision making that requires complex data analysis. We define Decision QA as the task of answering the best decision, $d_{best}$, for a decision-making question $Q$, business rules
Externí odkaz:
http://arxiv.org/abs/2406.12430