Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Yi-Heng Tsai"'
Autor:
Yi-Heng Tsai, Tieme W.P. Janssen, Tuong-Van Vu, Martijn Meeter, Nienke M. van Atteveldt, Brenda R.J. Jansen, Lucía Magis-Weinberg
Publikováno v:
Acta Psychologica, Vol 239, Iss , Pp 103984- (2023)
In this longitudinal, observational study, following 883 adolescents (aged 11–15 years, grades 6th - 8th) we tracked changes in perceived school motivation and effort across four time points during the two years of remote education in Perú as a co
Externí odkaz:
https://doaj.org/article/042ba408d0d2429484741ccc202ff26e
Autor:
Bo-Han Hou, Yi-Heng Tsai, Ming-Hau Chiang, Shu-Ming Tsao, Shih-Hung Huang, Chih-Ping Chao, Ho-Ming Chen
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-17 (2022)
Abstract Background The selection of tissue culture–derived somaclonal variants of Giant Cavendish banana (Musa spp., Cavendish sub-group AAA) by the Taiwan Banana Research Institute (TBRI) has resulted in several cultivars resistant to Fusarium ox
Externí odkaz:
https://doaj.org/article/2baee1448a5c4efeb1252f55e33ac46d
Autor:
Yi-Heng Tsai, 蔡易衡
102
This study was planned to investigate the aeolian sand control effect of sand moisture. The estuary of Da-an river, an area full of severe hazards of aeolian sand and fugitive dust, was chosen as the study site. A soil experiment was conduct
This study was planned to investigate the aeolian sand control effect of sand moisture. The estuary of Da-an river, an area full of severe hazards of aeolian sand and fugitive dust, was chosen as the study site. A soil experiment was conduct
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/71752747888616618541
Autor:
Yi-Heng Tsai, 蔡宜亨
99
This thesis is to enhance and improve speech recognition rate in noised environment. We use fuzzy vector quantization (FVQ) to improve the modeling of Discrete Hidden Markov Model (DHMM) and then to improve the speech recognition rate. The Em
This thesis is to enhance and improve speech recognition rate in noised environment. We use fuzzy vector quantization (FVQ) to improve the modeling of Discrete Hidden Markov Model (DHMM) and then to improve the speech recognition rate. The Em
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/90926703892039227923
Autor:
Brenda Jansen, Tieme Janssen, Lucia Magis-Weinberg, Nienke Van Atteveldt, YI-HENG TSAI, TuongVan Vu, Martijn Meeter
In this longitudinal, observational study, following 883 adolescents (aged 11 - 15 years, grades 6th - 8th) we tracked changes in perceived school motivation and effort across four time points during the two years of remote education in Perú as a co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7328267df0053c0dba09c8f2c138fd20
https://doi.org/10.31234/osf.io/7wgka
https://doi.org/10.31234/osf.io/7wgka
Autor:
Alexander Kalnitsky, Huang Shih-Fen, Benior Chen, Hu Fan, Terrence Yu, Sean Cheng, Leo Tsai, Lin Anderson, Victor Shih, Vincent Teng, Yeur-Luen Tu, Lin You-Ru, Huang Fu-Chun, Yi-Heng Tsai, Ching-Hui Lin, Julian Lee, Lee-Chuan Tseng, Chen Yen-Wen, Liao Yan-Jie, Ching-Hua Chiu, Kelvin Tai, Chih-Ming Chen, Chang Kai-Fung
Publikováno v:
2019 20th International Conference on Solid-State Sensors, Actuators and Microsystems & Eurosensors XXXIII (TRANSDUCERS & EUROSENSORS XXXIII).
This work presents the piezoelectric process technology developed in a high volume foundry for emerging MEMS applications. Innovative reliability enhancement techniques for piezoelectric devices are demonstrated to significantly boost (1) dielectric
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f098716254df2c0ea448bf9d70d0a65
https://doi.org/10.1109/transducers.2019.8808685
https://doi.org/10.1109/transducers.2019.8808685
Publikováno v:
International Journal of Fuzzy Systems. 19:925-941
In this paper, a robust speech recognition system for the recognition of the speeches subjected to environmental noise is designed and implemented on FPGA to control a home service robot wirelessly. An empirical mode decomposition is used to separate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1795f3c39f348fbbf8a245a2b8bbfd3
https://doi.org/10.1007/s40815-016-0222-9
https://doi.org/10.1007/s40815-016-0222-9
Publikováno v:
2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA).
This paper uses genetic algorithms to train a codebook for the modeling of Discrete Hidden Markov Model (DHMM) applied to speech recognition. The GA-trained DHMM is then used to increase the recognition rate for Mandarin speeches. Vector quantization
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6da25d2507d41915b875c258039eddd
https://doi.org/10.1109/iciea.2012.6360929
https://doi.org/10.1109/iciea.2012.6360929
Publikováno v:
2011 4th International Congress on Image and Signal Processing.
This paper compares the performances, recognition rate and computation speed, between an Improved Discrete Hidden Markov Model (DHMM) and Gaussian Mixture Hidden Markov Model (GMHMM) for Mandarin speech recognition. The fuzzy vector quantization (FVQ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24adceadd0533bd0c77e43949e2a6f22
https://doi.org/10.1109/cisp.2011.6100771
https://doi.org/10.1109/cisp.2011.6100771