Browsing by Author "Lin, C. -T."

Now showing 1 - 5 of 5

A high-performance laser energy meter based on anisotropic Seebeck effect in a strongly correlated electronic thin film
(2013-11-01)
Zhang, G. -Y.
;
Zheng, H. -R.
;
Huang, W. -H.
;
Zhang, X. -Y.
;
Gao, D. -L.
We have developed a high-performance laser energy meter based on anisotropic Seebeck effect in a strongly correlated electronic (SCE) thin film. SCE thin films, typically represented by high-temperature superconductor (HTS) cuprate and colossal magnetoresistance (CMR) manganite thin films, demonstrate tremendous anisotropic Seebeck effect. In this study, a La2/3Ca1/3MnO3 thin film grown on a tilted LaAlO3 substrate is tested with the fundamental, the second, the third, and the fourth harmonics (1064, 532, 355, 266 nm, respectively) of a Q-switched Nd:YAG laser over a wide range of temperatures from room temperature to 16 K. The peak-value of the laser-induced thermoelectric voltage signal shows a good linear relationship with the laser energy per pulse in the measured wavelength and temperature ranges. The combined advantages over other commercial laser detectors such as nanosecond-order response and spectrally broad and flat response over a wide range of temperatures, in situ real-time measurement, and energy savings, make the device an ideal candidate for next-generation laser detectors and laser power/energy meters.
A novel strongly correlated electronic thin-film laser energy/power meter based on anisotropic Seebeck effect
(2014-09-01)
Zhang, G. -Y.
;
Zhang, H.
;
Tan, S. -L.
;
Zhang, P. -X.
;
Tseng, T. -Y.
Strongly correlated electronic (SCE) materials including high-temperature superconducting cuprate and colossal magnetoresistance manganite thin films demonstrate tremendous anisotropic Seebeck effect which makes them very promising for developing high-performance laser detectors. In this work, laser-induced thermoelectric voltage (LITV) signals with nanosecond response time have been measured in SCE La1-xPbxMnO3 thin films based on anisotropic Seebeck effect at room temperature. The magnitude of the LITV signals increases linearly with laser energy/power density in a wide range of laser wavelengths from ultraviolet, visible to infrared based on which a novel SCE thin-film laser energy/power meter has been developed.
A novel strongly correlated electronic thin-film laser energy/power meter based on anisotropic Seebeck effect
(2014-09-01)
Zhang, G. -Y.
;
Zhang, H.
;
Tan, S. -L.
;
Zhang, P. -X.
;
Tseng, T. -Y.
Strongly correlated electronic (SCE) materials including high-temperature superconducting cuprate and colossal magnetoresistance manganite thin films demonstrate tremendous anisotropic Seebeck effect which makes them very promising for developing high-performance laser detectors. In this work, laser-induced thermoelectric voltage (LITV) signals with nanosecond response time have been measured in SCE La1-xPbxMnO3 thin films based on anisotropic Seebeck effect at room temperature. The magnitude of the LITV signals increases linearly with laser energy/power density in a wide range of laser wavelengths from ultraviolet, visible to infrared based on which a novel SCE thin-film laser energy/power meter has been developed.
FORMOSAT-3/COSMIC Constellation Spacecraft System Performance: After One Year in Orbit (vol 46, pg 3380, 2008)
(2009-04-01)
Fong, C. -J.
;
Yang, S. -K.
;
Chu, C. -H.
;
Huang, C. -Y.
;
Yeh, J. -J.
Lossless image coding using adaptive, switching algorithm with automatic fuzzy context modelling
(2006-10-01)
Kau, L. -J.
;
Lin, Y. -P.
;
Lin, C. -T.
;
電控工程研究所
;
Institute of Electrical and Control Engineering
A switching adaptive predictor (SWAP) with automatic fuzzy context modelling is proposed for lossless image coding. Depending on the context of the coding pixel, the SWAP encoder switches between two predictors: the adaptive neural predictor (ANP) and the texture context matching (TCM) predictor. The ANP is known to perform well and gives small prediction errors except for pixels around edges. For areas with edges, TCM is used. To decide which is to be used, a switching criterion is proposed to pick out pixels around edges effectively. With the switching predictor structure, small prediction errors can be achieved in both slowly varying areas and edges. Furthermore, the use of the so-called fuzzy context clustering for prediction error refinement is proposed. The proposed compensation mechanism is proved to be very useful through experiments. It further improves the bit rates by, on average, 0.2 bpp in test images. The experiments also show that an average improvement of 0.3 and 0.05 bpp in first-order entropy can be achieved when the proposed switching predictor is compared with the gradient adjusted predictor and a six-order edge directed predictor, respectively. Moreover, the lossless image coder built upon the proposed algorithm also provides lower bit rates than the state-of-the-art context-based, adaptive, lossless image coding (CALIC) system and is comparable to that obtained by the highly complex two-pass coder called TMW.