Zobrazeno 1 - 10
of 277
pro vyhledávání: '"Yu Chun Wu"'
Publikováno v:
Cell Reports, Vol 43, Iss 4, Pp 113996- (2024)
Summary: Physiological dysfunction confers negative valence to coincidental sensory cues to induce the formation of aversive associative memory. How peripheral tissue stress engages neuromodulatory mechanisms to form aversive memory is poorly underst
Externí odkaz:
https://doaj.org/article/3652b80e347649bfbb892543f3d328bf
Publikováno v:
Physical Review Research, Vol 6, Iss 3, p 033086 (2024)
Color codes are a promising topological code for fault-tolerant quantum computing. Insufficient research on color codes has delayed their practical application. In this work, we address several key issues to facilitate practical fault-tolerant quantu
Externí odkaz:
https://doaj.org/article/484b4408f39644838fc97213263847a6
Publikováno v:
New Journal of Physics, Vol 26, Iss 7, p 073030 (2024)
Independent component analysis (ICA) is a fundamental data processing technique to decompose the captured signals into as independent as possible components. Computing the contrast function, which serves as a measure of the independence of signals, i
Externí odkaz:
https://doaj.org/article/63d00fff89174bb1b641c82fb78bdf7b
Autor:
Min-Tsun Liao, Chih-Chieh Yu, Lian-Yu Lin, Ke-Han Pan, Tsung-Hsien Tsai, Yu-Chun Wu, Yen-Bin Liu
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract This study aimed to evaluate whether quantitative analysis of wrist photoplethysmography (PPG) could detect atrial fibrillation (AF). Continuous electrocardiograms recorded using an electrophysiology recording system and PPG obtained using a
Externí odkaz:
https://doaj.org/article/beadccc229dc4ab6b6fb70325e9a09ec
Publikováno v:
Quantum, Vol 7, p 1127 (2023)
Modeling stochastic phenomena in continuous time is an essential yet challenging problem. Analytic solutions are often unavailable, and numerical methods can be prohibitively time-consuming and computationally expensive. To address this issue, we pro
Externí odkaz:
https://doaj.org/article/b54b53891401413291f83bed8c82ff20
Autor:
Cheng Xue, Zhao-Yun Chen, Tai-Ping Sun, Xiao-Fan Xu, Si-Ming Chen, Huan-Yu Liu, Xi-Ning Zhuang, Yu-Chun Wu, Guo-Ping Guo
Publikováno v:
Intelligent Computing, Vol 2 (2023)
The dynamic mode decomposition (DMD) algorithm is a widely used factorization and dimensionality reduction technique in time series analysis. When analyzing high-dimensional time series, the DMD algorithm requires extremely large amounts of computati
Externí odkaz:
https://doaj.org/article/487e22e5e5d84cfb86ea0224a5b712b2
Autor:
Chong-You Hong, Yu-Chun Wu, Yang Liu, Chi-Wai Chow, Chien-Hung Yeh, Ke-Ling Hsu, Dong-Chang Lin, Xin-Lan Liao, Kun-Hsien Lin, Yi-Yuan Chen
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 3, Pp 1-5 (2020)
We put forward and demonstrate a angle-of-arrival (AOA) based visible-light-positioning (VLP) system using quadrant-solar-cell (QSC) and third-order ridge regression machine learning (RRML) to improve the positioning accuracy.
Externí odkaz:
https://doaj.org/article/45983fb814d449c7b75081109432d3a3
Autor:
Yu-Chun Wu, Ke-Ling Hsu, Yang Liu, Chong-You Hong, Chi-Wai Chow, Chien-Hung Yeh, Xin-Lan Liao, Kun-Hsien Lin, Yi-Yuan Chen
Publikováno v:
IEEE Photonics Journal, Vol 12, Iss 2, Pp 1-5 (2020)
We put forward and experimentally demonstrate a second order machine-learning (ML) based visible-light-positioning (VLP) system using simple linear interpolation algorithm to reduce the training samples required in the ML algorithm. Algorithms of the
Externí odkaz:
https://doaj.org/article/8d2098fd77a54f1d9c16fda9c81cf764
Autor:
Yu-Chun Wu, Chi-Wai Chow, Yang Liu, Yun-Shen Lin, Chong-You Hong, Dong-Chang Lin, Shao-Hua Song, Chien-Hung Yeh
Publikováno v:
IEEE Access, Vol 8, Pp 214269-214281 (2020)
In this work, we propose and demonstrate a received-signal-strength (RSS) based visible-light-positioning (VLP) system using sigmoid function data preprocessing (SFDP) method; and apply it to two types of regression based machine learning algorithms;
Externí odkaz:
https://doaj.org/article/17dc702a092042e29cc05b2e0c521d7f
Publikováno v:
New Journal of Physics, Vol 25, Iss 10, p 103011 (2023)
Quantum comparators and modular arithmetic are fundamental in many quantum algorithms. Current research mainly focuses on operations between two quantum states. However, various applications, such as integer factorization, optimization, and financial
Externí odkaz:
https://doaj.org/article/548daf51da1d488196c062d8d36b7365