Zobrazeno 1 - 10
of 14 399
pro vyhledávání: '"application specific integrated circuit"'
Autor:
Zhikang Li, Yihe Zhao, Gian Luca Barbruni, Jie Li, Zixuan Li, Jiawei Yuan, Ping Yang, Libo Zhao, Zhuangde Jiang, Sandro Carrara
Publikováno v:
Engineering, Vol 41, Iss , Pp 231-241 (2024)
Gravimetric resonant-inspired biosensors have attracted increasing attention in industrial and point-of-care applications, enabling label-free detection of biomarkers such as DNA and antibodies. Capacitive micromachined ultrasonic transducers (CMUTs)
Externí odkaz:
https://doaj.org/article/0107707071aa4a36bc4ed4fef6584479
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1853-1863 (2025)
This article presents a commercially available, low-power digital spectrometer application specific integrated circuit (ASIC). The ASIC computes 8192 frequency bins across the 4 GHz of resolvable bandwidth (488 kHz spectral resolution) and accumulate
Externí odkaz:
https://doaj.org/article/76a99420078a4b64b88f77769206c90c
Publikováno v:
Journal of Electromagnetic Engineering and Science, Vol 24, Iss 4, Pp 377-383 (2024)
To replace the field-programmable gate array semiconductors used in the defense satellite industry, we conducted a technical investigation of application-specific integrated circuit (ASIC) semiconductors. The analysis results show that ASIC semicondu
Externí odkaz:
https://doaj.org/article/9c2294ade43d419bbefad21a0ebbb7da
Autor:
Kang, Beom Jin 1, Lee, Hae In 1, Yoon, Seok Kyu, Kim, Young Chan, Jeong, Sang Beom, O, Seong Jun, Kim, Hyun ⁎
Publikováno v:
In Journal of Systems Architecture October 2024 155
Publikováno v:
IEEE Access, Vol 12, Pp 64050-64068 (2024)
This article introduces a programmable Artificial Intelligence Visual System on Chip (AIV-SoC), optimized for YOLOv8 end-to-end execution. It operates on input image resolution of $352\times 352$ to perform object detection, instance segmentation, an
Externí odkaz:
https://doaj.org/article/7ceab58e52cc445884d817d29833644b
Autor:
Piotr Patronik, Stanisław J. Piestrak
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2023, Iss 1, Pp 1-28 (2023)
Abstract This paper presents a new design method of the reverse (residue-to-binary) converter for the flexible 3-moduli residue number system (RNS) set $$\{ 2^k, 2^n-1, 2^n+1 \}$$ { 2 k , 2 n - 1 , 2 n + 1 } , where k and n are a pair of arbitrary in
Externí odkaz:
https://doaj.org/article/1fb945dbacb0438aa9e9c960d0fcbfa3
Publikováno v:
Earth, Planets and Space, Vol 75, Iss 1, Pp 1-11 (2023)
Abstract Space-based search coil (SC) magnetometers connected to preamplifiers have been used to investigate magnetic field vectors of plasma waves from 100 mHz to 10 kHz for understanding magnetospheric dynamics. However, flicker noise below several
Externí odkaz:
https://doaj.org/article/1bae6390053c4a52a0cf90ebd26b99fc
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 6, Iss , Pp 100360- (2023)
The LabPET II detection module serves as the fundamental component within Positron Emission Tomography (PET) scanners designed for achieving ultra-high-resolution imaging of small to medium-sized animals as well as the human brain. To ensure peak per
Externí odkaz:
https://doaj.org/article/ce62de94374a44fc91d04efd81e92bb6
Publikováno v:
IEEE Access, Vol 11, Pp 87189-87199 (2023)
Analog in-memory computing (AIMC) has been utilized in convolutional neural networks (CNNs) edge inference engines to solve the memory bottleneck problem and increase efficiency. However, AIMC analog-to-digital converters (ADCs) restricted resolution
Externí odkaz:
https://doaj.org/article/de141c8430ce4cdfb8161d62c76e1beb
Publikováno v:
IEEE Access, Vol 11, Pp 21192-21198 (2023)
Collision detection of two objects plays an essential role for the machine tool automation. Although the collision detection of two objects has been studied in applications like virtual reality, the collision detection for the machine tool requires h
Externí odkaz:
https://doaj.org/article/7fb76075f8344fe8b81d0bd24d21aed1