Dynamically Color-Controllable Lasing from a Single CdSSe Alloy Nanowire

Liu, Z. C.; Yin, Leijun; Ning, Hao; Yang, Zongyin; Tong, Limin; Ning, Chao

doi:10.1364/cleo_si.2013.cw3g.2

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…[3] Ning-Ning Liu; Ding Yi-Wang [7] in 2008 proposed verification system online signature exploit local and global information fusion using two stages is presented. In the first stage, the overall information is extracted as a vector of dimension 13 and recognized by the majority of the classifiers, and then the local information is extracted as time functions of various dynamic properties and recognized network BP neural classifier.…”

Section: Literature Surveymentioning

confidence: 99%

Signature Verification based on Reduced Size Fast Correlation

Chadokar¹,

Nair²

2014

IJCA

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In this dissertation work, performed an far-reaching experimental study to minimize time of recognition and verification and increase the great accuracy of signature sample which extract some features from signature sample in their training phase. In previous research on signature verification was based on similarity training of machine used in neural network has shown better accuracy than other techniques but somewhere neural network is complex in operation for example different algorithms for supervised learning. So in this work feature extraction and then it's database has been prepared which takes less time than supervised training in NN is used and for verification, correlation is used to match features of signature with the database which is also easier in operation and faster in processing then BP algorithms in NN. In this system more than 400 signature samples as used for recognition, and it gives far-accuracy than NN system.

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Section: Literature Surveymentioning

confidence: 99%

Signature Verification based on Reduced Size Fast Correlation

Chadokar¹,

Nair²

2014

IJCA

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“…Miniaturized lasers have gained an increasing interest owing to their applications in chemical and biological sensing, [1][2][3] laser display, [4][5][6] imaging 7 , and on-chip optical interconnects [8][9][10][11] .…”

Section: Introductionmentioning

confidence: 99%

Switchable Multimode Microlaser based on AIE Microsphere

Gao

Zhao²,

Chen³

et al. 2021

Preprint

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<p><a>Switchable multimode microlasers are of great significance to the development of photonic devices with high integration levels.</a> <a>Herein, we demonstrate an acid/alkaline gas responsive multimode AIEgen@starch microsphere-based microlaser. The aggregation-induced emission (AIE) active fluorescent dye ASCPI is used as the gain medium in this study. ASCPI was weakly emissive in water but became highly emissive when introduced to the starch microsphere as a guest molecule. The resultant ASCPI@starch microsphere worked well as a typical whispering-gallery-mode microlaser. The laser mode wavelengths were size dependent. Due to the sensitivity of ASCPI to pH, the output wavelength of the microlaser could be switched to shorter wavelength by acetic acid vapor treatment or longer wavelength by NH<sub>3</sub> vapor treatment. This work will provide a useful enlightenment for the rational design of effective switchable lasers using AIE materials with a simple preparation procedure.</a></p>

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Dynamically Color-Controllable Lasing from a Single CdSSe Alloy Nanowire

Cited by 2 publications

References 6 publications

Signature Verification based on Reduced Size Fast Correlation

Signature Verification based on Reduced Size Fast Correlation

Switchable Multimode Microlaser based on AIE Microsphere

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