Light‐to‐Spike Encoding Using Indium‐Gallium‐Zinc Oxide Phototransistor for all‐Color Image Recognition with Dynamic Range and Precision Tunability DOI
Ya‐Chi Huang,

Y. C. Chen,

Kuan‐Ting Chen

et al.

Small Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

Abstract To enhance the efficiency of machine vision system, physical hardware capable sensing and encoding is essential. However, color information has been overlooked. Therefore, this work utilizes an indium‐gallium‐zinc oxide (IGZO) phototransistor to detect varying densities red, green, blue (RGB) light, converting them into corresponding drain current (I D ) states. By applying stochastic gate voltage (V G pulses IGZO phototransistor, fluctuations are generated in these I When exceeds threshold TC ), a spike signal generated. This approach enables conversion light signals, achieving spike‐rate encoding. Moreover, adjusting standard deviation (σ) V controls range converted rates, while altering mean (μ) changes baseline level rates. Remarkably, separate RGB channels offer tunable process, which can emphasize individual colors correct bias. The encoded rates also fed spiking neural network (SNN) for CIFAR‐10 pattern recognition, accuracy 86%. method allows operation SNN shows tunability process light‐to‐spike encoding, opening possibilities image processing.

Language: Английский

A Plasmonic Optoelectronic Resistive Random‐Access Memory for In‐Sensor Color Image Cryptography DOI

Quan Yang,

Yu Kang, Chengchun Zhang

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: 11(29)

Published: May 29, 2024

Abstract The optoelectronic resistive random‐access memory (RRAM) with the integrated function of perception, storage and intrinsic randomness displays promising applications in hardware level in‐sensor image cryptography. In this work, 2D hexagonal boron nitride based RRAM is fabricated semitransparent noble metal (Ag or Au) as top electrodes, which can simultaneous capture color generate physically unclonable (PUF) key for Surface plasmons metals enable strong light absorption to realize an efficient modulation filament growth at nanoscale. Resistive switching curves show that optical stimuli impede aggregation promote annihilation, originates from photothermal effects photogenerated hot electrons localized surface plasmon resonance metals. By selecting metals, array respond distinct wavelengths mimic biological dichromatic cone cells perform perception. Due high‐quality randomness, produce a PUF every exposure cycle, be applied reconfigurable findings demonstrate effective strategy build cryptography applications.

Language: Английский

Citations

6
Multimodal In‐Sensor Computing System Using Integrated Silicon Photonic Convolutional Processor DOI Creative Commons
Zian Xiao, Zhihao Ren, Yuzheng Zhuge

et al.

Advanced Science, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Abstract Photonic integrated circuits offer miniaturized solutions for multimodal spectroscopic sensory systems by leveraging the simultaneous interaction of light with temperature, chemicals, and biomolecules, among others. The data is complex has huge volume high redundancy, thus requiring communication bandwidth associated power consumption to transfer data. To circumvent this cost, photonic sensor processor are brought into intimacy propose a in‐sensor computing system using an silicon convolutional processor. A microring resonator crossbar array used as implement operation 5‐bit accuracy, validated through image edge detection tasks. Further integrating sensor, in situ processing demonstrated, achieving classification protein species different types concentrations at various temperatures. accuracy 97.58% across 45 classes achieved. demonstrates feasibility processors sensors enhance capability devices edge.

Language: Английский

Citations

5
Enhancement of Stability and Durability in Nanocrystal Memristors with Surface Defect Control for Image Encryption and Storage DOI Open Access

Jianyong Pan,

Jingyang Hu, Xiao Dong

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 9, 2025

Abstract Memristors based on perovskite materials demonstrate significant potential for applications in information encryption and storage. However, the stability durability of their device structures remain major challenges commercial deployment. In this study, Mn:CsPbCl 3 nanocrystals capped with short‐chain ligands are synthesized at a controlled ratio using an situ ligand passivation strategy. Compared long‐chain ligands, possess higher surface adsorption energy, which enhances nanocrystal size uniformity enables more effective attachment to sites. This process mitigates defects nanocrystals, thereby decreasing randomness conductive filaments formation enhancing stability. Furthermore, capping improves contact material‐electrode interface correspondingly reducing leakage current. The fabricated Al/Mn:CsPbCl /FTO memristor exhibits good reconfigurable storage behavior. By adjusting compliance current, transition from non‐volatile volatile modes is successfully achieved. Leveraging device's electrical characteristics, binary image encryption, functions realized. Overall, work demonstrates importance operational memristors provides foundation application secure transmission.

Language: Английский

Citations

0
Photosensitive resistive switching in parylene-PbTe nanocomposite memristors for neuromorphic computing DOI
Andrey Trofimov, A. V. Emelyanov, А. Н. Мацукатова

et al.

Nanoscale, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Reliable parylene–PbTe memristors controlled via electrical and optical stimuli replicate key synaptic functions are applicable in neuromorphic computing systems.

Language: Английский

Citations

0
Quantum Dots and Perovskites‐Based Physically Unclonable Functions for Binary and Ternary Keys via Optical‐to‐Electrical Conversion DOI Creative Commons
Howon Seo, Taesung Park,

Awais Ali

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Abstract Physically unclonable functions (PUFs) are hardware‐based security keys that considered one of the most promising next‐generation solutions for intelligent systems. Numerous studies have reported on optical and electrical PUFs; however, these PUFs exhibit certain limitations, such as complicated readout systems low encoding capacity. Optoelectronic capable generating cryptographic multikey using signals dependent wavelength incident light proposed in this study. This wavelength‐dependent response is enabled by random deposition lead sulfide quantum dots methylammonium iodide perovskites, which absorb visible IR light, respectively. Optical, electrical, morphological analyses conducted to assess randomness randomly distributed films fabricated sequential spray coating dynamic spin coating. Binary generated ranking mechanism, their uniqueness stability evaluated through inter‐ intra‐hamming distance (HD) analyses, with both approaching near‐ideal values. Furthermore, a ternary key generation mechanism improves capacity introduced. The intra‐HD values also approach optoelectronic substantial potential securing Internet Things devices.

Language: Английский

Citations

0
Light‐to‐Spike Encoding Using Indium‐Gallium‐Zinc Oxide Phototransistor for all‐Color Image Recognition with Dynamic Range and Precision Tunability DOI
Ya‐Chi Huang,

Y. C. Chen,

Kuan‐Ting Chen

et al.

Small Methods, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

Abstract To enhance the efficiency of machine vision system, physical hardware capable sensing and encoding is essential. However, color information has been overlooked. Therefore, this work utilizes an indium‐gallium‐zinc oxide (IGZO) phototransistor to detect varying densities red, green, blue (RGB) light, converting them into corresponding drain current (I D ) states. By applying stochastic gate voltage (V G pulses IGZO phototransistor, fluctuations are generated in these I When exceeds threshold TC ), a spike signal generated. This approach enables conversion light signals, achieving spike‐rate encoding. Moreover, adjusting standard deviation (σ) V controls range converted rates, while altering mean (μ) changes baseline level rates. Remarkably, separate RGB channels offer tunable process, which can emphasize individual colors correct bias. The encoded rates also fed spiking neural network (SNN) for CIFAR‐10 pattern recognition, accuracy 86%. method allows operation SNN shows tunability process light‐to‐spike encoding, opening possibilities image processing.

Language: Английский

Citations

0