Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Huai-Ting Li"'
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 196-209 (2021)
Extreme learning machine (ELM) has shown to be an effective and low-power approach for real-time electrocardiography (ECG) anomaly detection. However, prior ELM inference chips are noise-prone and lacking in reconfigurability. In this article, we pre
Externí odkaz:
https://doaj.org/article/a0a0a644a5be4a29851ba5387900703c
Autor:
Huai-Ting Li, 李懷霆
106
With the advance of the electronics technology, the Internet of Things (IoT) speeds up many revolutionary progress and applications. Among them, self-driving cars and healthcare are less tolerant to latency caused by data transmission becaus
With the advance of the electronics technology, the Internet of Things (IoT) speeds up many revolutionary progress and applications. Among them, self-driving cars and healthcare are less tolerant to latency caused by data transmission becaus
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/qh7xm4
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 196-209 (2021)
Extreme learning machine (ELM) has shown to be an effective and low-power approach for real-time electrocardiography (ECG) anomaly detection. However, prior ELM inference chips are noise-prone and lacking in reconfigurability. In this article, we pre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd9e55a559bf66f36c207c62579894e9
https://doi.org/10.1109/ojcas.2020.3039993
https://doi.org/10.1109/ojcas.2020.3039993
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 66:4699-4712
Compressive sensing (CS) is applied to electrocardiography (ECG) telemonitoring system to address the energy constraint of signal acquisition in sensors. In addition, on-sensor-analysis transmitting only abnormal data further reduces the energy consu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b69b468b3963501f42407a38e160f0c1
https://doi.org/10.1109/tcsi.2019.2940642
https://doi.org/10.1109/tcsi.2019.2940642
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 25:2803-2816
Reliability issues are more severe in multi/many-core systems because of the integration of more devices in advanced technology nodes. To achieve robust computing in nanoscale designs, many circuit-level and architecture-level redundancy techniques h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd585b8c90e704a9fce2ff57bd6df3a7
https://doi.org/10.1109/tvlsi.2017.2715803
https://doi.org/10.1109/tvlsi.2017.2715803
Publikováno v:
ISCAS
Machine learning models have gained popularity of realizing Electrocardiography (ECG) monitoring systems. For constructing an inference device, providing both low latency and high accuracy is of a great concern. Extreme Learning Machine (ELM) is a si
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::736773f74a0c047fc5cb122b50a04915
https://doi.org/10.1109/iscas.2018.8350948
https://doi.org/10.1109/iscas.2018.8350948
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783319920061
AIAI
IFIP Advances in Information and Communication Technology
14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.249-260, ⟨10.1007/978-3-319-92007-8_22⟩
AIAI
IFIP Advances in Information and Communication Technology
14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI)
14th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), May 2018, Rhodes, Greece. pp.249-260, ⟨10.1007/978-3-319-92007-8_22⟩
Part 5: Machine Learning - Regression - Classification; International audience; Emotion recognition is an essential function to realize human-machine interaction devices. Physiological signals which can be collected easily and continuously by wearabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e51ffabd87fac11cda64bfa1621c8791
https://doi.org/10.1007/978-3-319-92007-8_22
https://doi.org/10.1007/978-3-319-92007-8_22
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 62:1794-1804
The reliability of NAND Flash memory deteriorates due to multi-level cell technique and advanced manufacturing technology. To deal with more errors, LDPC codes show superior performance to conventional BCH codes as ECC of NAND Flash memory systems. H
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ec898326c25f2712e18d28fa86986cc6
https://doi.org/10.1109/tcsi.2015.2423798
https://doi.org/10.1109/tcsi.2015.2423798
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 26:206-218
The three-dimensional Network-on-Chip (3D NoC) has been proposed to solve the complex on-chip communication issues in multicore systems using die stacking in recent days. Because of the larger power density and the heterogeneous thermal conductance i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::894f0c270bdabbe33fb567598a3bf02c
https://doi.org/10.1109/tpds.2014.2308206
https://doi.org/10.1109/tpds.2014.2308206
Publikováno v:
2016 International Symposium on VLSI Design, Automation and Test (VLSI-DAT).
Technology scaling enables Chip Multiprocessors (CMPs) a promising approach to powerful performance within a chip. However, increasing transistor density makes them more susceptible to transient faults. Even worse, process variation due to unstable m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33094bc0292db63054ea0d7a0a38e6ad
https://doi.org/10.1109/vlsi-dat.2016.7482558
https://doi.org/10.1109/vlsi-dat.2016.7482558