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Committee Date Time Place Paper Title / Authors Abstract Paper #
LQE 2016-12-16
11:40		 Tokyo Kikai-Shinko-Kaikan Bldg. [Memorial Lecture] Determination of internal quantum efficiency and recombination lifetime by simultaneous photo-acoustic and photoluminescence measurements in GaN
Kohei Kawakami, Takashi Nakano, Atsushi A. Yamaguchi (Kanazawa Inst. Tech.) LQE2016-99		 Internal quantum efficiency (IQE) is usually estimated from temperature dependence of photoluminescence (PL) intensity b... [more] LQE2016-99
pp.15-20
ED, LQE, CPM 2015-11-26
15:30		 Osaka Osaka City University Media Center Analysis of radiative and non-radiative lifetimes in GaN using accurate internal-quantum-efficiency values estimated by simultaneous photoluminescence and photo-acoustic measurements
Kohei Kawakami, Takashi Nakano, Atsushi A Yamaguchi (KIT) ED2015-77 CPM2015-112 LQE2015-109		 Radiative and non-radiative recombination lifetimes in III-nitride semiconductors are usually estimated from time-resolv... [more] ED2015-77 CPM2015-112 LQE2015-109
pp.49-52
LQE, CPM, EMD, OPE, R 2012-08-23
10:25		 Miyagi Tohoku Univ. Random-Number-Generation Using a VCSEL's Frequency Noise Characteristic
Kohei Kawakami, Shinya Maehara, Kohei Doi, Hideaki Arai, Takanobu Kondo, Naoya Shimizu, Takashi Sato, Shuichi Sakamoto, Yasuo Ohdaira, Masashi Ohkawa (Niigata Univ.) R2012-22 EMD2012-28 CPM2012-53 OPE2012-60 LQE2012-26		 The pseudo-random number is normally used for large-scale simulation and encryption of communication. On the other hand,... [more] R2012-22 EMD2012-28 CPM2012-53 OPE2012-60 LQE2012-26
pp.9-12
NLP 2005-05-17
14:55		 Yamagata Yamagata Univ (Yonezawa) Lossless High Dynamic Range Image Coding based on Lifting Scheme using Nonlinear Interpolative Effect of Discrete-Time Cellular Neural Networks
Hisashi Aomori, Kohei Kawakami (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Masayuki Yamauchi, Mamoru Tanaka (Sophia Univ.) 		The lifting scheme is a flexible method for the construction of linear and nonlinear wavelet transforms. In this paper, ... [more] NLP2005-5
pp.23-28
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