File Download
Supplementary
-
Citations:
- Appears in Collections:
Article: Review of the Intelligent Sensor‐Memory‐Control Fusion Systems
Title | Review of the Intelligent Sensor‐Memory‐Control Fusion Systems |
---|---|
Authors | |
Issue Date | 3-Dec-2022 |
Publisher | Wiley Open Access |
Citation | Advanced Sensor Research, 2022, v. 2 How to Cite? |
Abstract | The ability to sense light, heat, and touch is vital for human beings, underpinning the interaction between humans and the environment. To mimic the biological perception system, the sensory system converts external light, heat, and mechanical inputs into electrical signals, then processing and storing the data in digital hardware before providing feedback. However, modern digital sensing-processing systems based on the von Neumann architecture are facing significant challenges in power consumption and latency due to the unprecedented increase in data size and algorithm complexity. A promising solution is to integrate sensors, memory, and control. Here the “state-of-the-art” fusion systems involved in the sensing of visual, olfactory, tactile, visual signals, and control is reviewed. The challenges in high performance and reliability are also discussed. |
Persistent Identifier | http://hdl.handle.net/10722/340963 |
ISSN |
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chen, Yixuan | - |
dc.contributor.author | Wu, Xinyue | - |
dc.contributor.author | Shen, Junhao | - |
dc.contributor.author | Huang, Zepeng | - |
dc.contributor.author | Wang, Zhongrui | - |
dc.contributor.author | Lyu, Liangjian | - |
dc.contributor.author | Bi, Hengchang | - |
dc.contributor.author | Wu, Xing | - |
dc.contributor.author | Shen, Guozhen | - |
dc.date.accessioned | 2024-03-11T10:48:37Z | - |
dc.date.available | 2024-03-11T10:48:37Z | - |
dc.date.issued | 2022-12-03 | - |
dc.identifier.citation | Advanced Sensor Research, 2022, v. 2 | - |
dc.identifier.issn | 2751-1219 | - |
dc.identifier.uri | http://hdl.handle.net/10722/340963 | - |
dc.description.abstract | <p>The ability to sense light, heat, and touch is vital for human beings, underpinning the interaction between humans and the environment. To mimic the biological perception system, the sensory system converts external light, heat, and mechanical inputs into electrical signals, then processing and storing the data in digital hardware before providing feedback. However, modern digital sensing-processing systems based on the von Neumann architecture are facing significant challenges in power consumption and latency due to the unprecedented increase in data size and algorithm complexity. A promising solution is to integrate sensors, memory, and control. Here the “state-of-the-art” fusion systems involved in the sensing of visual, olfactory, tactile, visual signals, and control is reviewed. The challenges in high performance and reliability are also discussed.<br></p> | - |
dc.language | eng | - |
dc.publisher | Wiley Open Access | - |
dc.relation.ispartof | Advanced Sensor Research | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.title | Review of the Intelligent Sensor‐Memory‐Control Fusion Systems | - |
dc.type | Article | - |
dc.description.nature | published_or_final_version | - |
dc.identifier.doi | 10.1002/adsr.202200034 | - |
dc.identifier.volume | 2 | - |