Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Taesik Na"'
Autor:
Mandovi Mukherjee, Saibal Mukhopadhyay, Priyabrata Saha, Minah Lee, Edward Lee, Taesik Na, Mohammad Faisal Amir
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 10:444-457
Digital pixel based image sensors with embedded deep neural network (DNN) allow many mission critical surveillance applications. However, image noise caused by variations and non-idealities in the sensor aggravates the quality of image and further de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2457a898949de3703885977dba4eddc1
https://doi.org/10.1109/jetcas.2020.3031869
https://doi.org/10.1109/jetcas.2020.3031869
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38:109-121
Neural networks generally require significant memory capacity/bandwidth to store/access a large number of synaptic weights. This paper presents design of an energy-efficient neural network inference engine based on adaptive weight compression using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b055d33615d1965da4ae33637462cf5f
https://doi.org/10.1109/tcad.2018.2801228
https://doi.org/10.1109/tcad.2018.2801228
Publikováno v:
IEEE Access, Vol 12, Pp 146818-146829 (2024)
The rapid evolution of the digital landscape through advancements in electronic devices, wireless communication, and electromagnetic wave technologies has brought both convenience and new security concerns. One such security challenge is TEMPEST (Tra
Externí odkaz:
https://doaj.org/article/898c6a380ec4483aa29bde4040558fd3
Autor:
Taesik Na, Mohammad Faisal Amir, Priyabrata Saha, Minah Lee, Mandovi Mukherjee, Saibal Mukhopadhyay
Publikováno v:
AICAS
The digital pixel based image sensors with 3D integrated and pixel-parallel read-out-integrated-circuits (ROIC) show potential for high resolution and high frame rate in many mission critical surveillance applications. However, fixed pattern noise (F
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bdc5a26096960fa82f900d59cd5b6f47
https://doi.org/10.1109/aicas48895.2020.9073975
https://doi.org/10.1109/aicas48895.2020.9073975
Publikováno v:
DAC
There is a growing interest in deploying complex deep neural networks (DNN) in autonomous systems to extract task-specific information from real-time sensor data and drive critical tasks. The perturbations in sensor data due to noise or environmental
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f2e8fb9b81ac744f3102bedf7883300
https://doi.org/10.1109/dac18072.2020.9218502
https://doi.org/10.1109/dac18072.2020.9218502
Publikováno v:
IEEE Transactions on Very Large Scale Integration (VLSI) Systems. 26:2781-2794
We present a recurrent neural network (RNN) accelerator design with resistive random-access memory (ReRAM)-based processing-in-memory (PIM) architecture. Distinguished from prior ReRAM-based convolutional neural network accelerators, we redesign the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49282069feb0f5f89c6c2e27e400b4e4
https://doi.org/10.1109/tvlsi.2018.2819190
https://doi.org/10.1109/tvlsi.2018.2819190
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 37:2360-2370
This paper presents, DeepTrain, an embedded platform for high-performance and energy-efficient training of deep neural network (DNN). The key architectural concept of DeepTrain is to develop a spatially homogeneous computing (and memory) fabric with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e3351a20f84fa3ebe592e4281e43706
https://doi.org/10.1109/tcad.2018.2858358
https://doi.org/10.1109/tcad.2018.2858358
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 8:591-602
Wireless image sensor nodes are required to deliver better visual information of the region-of-interest (ROI) under tight energy constraints. The energy-quality scalability of the sensor node can be improved by incorporating ROI-based image processin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a02cedfd37de13c0d4c81017320b9033
https://doi.org/10.1109/jetcas.2018.2832439
https://doi.org/10.1109/jetcas.2018.2832439
Publikováno v:
IEEE Sensors Journal. 18:4187-4199
This paper investigates the power and performance trade-offs associated with integrating deep neural network (DNN) computation in an image sensor. The paper presents the design of Neurosensor–a CMOS image sensor with 3-D stacking of pixel array, re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe610347df7064ed612542f7a8bcf2d
https://doi.org/10.1109/jsen.2018.2817632
https://doi.org/10.1109/jsen.2018.2817632
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 64:2295-2307
This paper presents a single-chip image sensor node with energy harvesting from the pixel array. The design includes a $128 \times 96$ pixel array that can be reconfigured to form an on-chip photovoltaic cell to harvest energy. An on-chip power manag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d70bfe4cc7625282e03cb4b2ffbf02d
https://doi.org/10.1109/tcsi.2017.2703869
https://doi.org/10.1109/tcsi.2017.2703869