Browsing by Author "Liu, Yu-Cheng"

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Cometabolic degradation of toluene and TCE contaminated wastewater in a bench-scale sequencing batch reactor inoculated with immobilized Pseudomonas putida F1
(2019-11-01)
Yang, Cai-En
;
Wu, Chih-Yun
;
Liu, Yu-Cheng
;
Lan, Ethan I.
;
Tsai, Shen-Long
Toluene and Trichloroethylene (TCE) are two of the most common organic contaminates at hazardous sites and contaminated water. In this study, a sequencing batch reactor (SBR) inoculated with PVA/alginate-immobilized Pseudomonas putida F1 was used for biological treatment of toluene and TCE contaminated wastewater. Moreover, a mathematical model was developed to simulate the dynamic behavior of a SBR treating competitive contaminates. Results showed high removal efficiencies of both toluene and TCE in the effluents. For the duration of filling time, an instantaneous fill was the optimum for moderate amount of toluene and TCE. Toluene concentration affected TCE degradation. The lower the toluene presence, the higher the removal efficiency of both toluene and TCE. Interestingly, the presence of 20 mg/L iron, or 1 mg/L nickel stimulated the degradation rates of both toluene and TCE. However, the degradation rate was reduced when both 20 mg/L iron and 1 mg/L nickel were presented simultaneously. The model developed in this research was able to simulate the kinetic behaviors of toluene and TCE removal in the SBR successfully. (C) 2019 Taiwan Institute of Chemical Engineers. Published by Elsevier B.V. All rights reserved.
Iridium Nanocrystal Thin-Film Transistor Nonvolatile Memory with Si(3)N(4)/SiO(2) Stack of Asymmetric Tunnel Barrier
(2011-05-01)
Wang, Terry Tai-Jui
;
Lu, Tien-Lin
;
Wu, Chien-Hung
;
Liu, Yu-Cheng
;
Hung, Shih-Wei
Iridium nanocrystals (Ir-NCs) lying on the Si(3)N(4)/SiO(2) tunneling layer have been demonstrated and Ir-NC-assisted thin-film transistor nonvolatile memory devices were successfully developed. Results show that Ir-NCs with a number density of similar to 6 x 10(11) cm(-2) and a particle diameter of 4 to 12 nm can successfully be fabricated as charge trapping centers. Owing to the asymmetric SiO(2)/Si(3)N(4) tunneling layer that increases programming/erasing efficiency, a significant memory window of 5.5 V has potential to be applied to multibit memory devices. Furthermore, after 10(4) s, the memory window is still about 4.0 V in logic states. (C) 2011 The Japan Society of Applied Physics
Iridium Nanocrystal Thin-Film Transistor Nonvolatile Memory with Si3N4/SiO2 Stack of Asymmetric Tunnel Barrier
(2011-05-01)
Wang, Terry Tai-Jui
;
Lu, Tien-Lin
;
Wu, Chien-Hung
;
Liu, Yu-Cheng
;
Hung, Shih-Wei
Iridium nanocrystals (Ir-NCs) lying on the Si3N4/SiO2 tunneling layer have been demonstrated and Ir-NC-assisted thin-film transistor nonvolatile memory devices were successfully developed. Results show that Ir-NCs with a number density of similar to 6 x 10(11) cm(-2) and a particle diameter of 4 to 12 nm can successfully be fabricated as charge trapping centers. Owing to the asymmetric SiO2/Si3N4 tunneling layer that increases programming/erasing efficiency, a significant memory window of 5.5 V has potential to be applied to multibit memory devices. Furthermore, after 10(4) s, the memory window is still about 4.0 V in logic states. (C) 2011 The Japan Society of Applied Physics
Learning in the visual association of novice and expert designers
(2017-06-01)
Yao, Shu-Nung
;
Lin, Chin-Teng
;
King, Jung-Tai
;
Liu, Yu-Cheng
;
Liang, Chaoyun
Designers are adept at determining similarities between previously seen objects and new creations using visual association. However, extant research on the visual association of designers and the differences between expert and novice designers when they engage in the visual association task are scant. Using electroencephalography (EEG), this study attempted to narrow this research gap. Sixteen healthy designers-eight experts and eight novices-were recruited, and asked to perform visual association while EEG signals were acquired, subsequently analysed using independent component analysis. The results indicated that strong connectivity was observed among the prefrontal, frontal, and cingulate cortices, and the default mode network. The experts used both hemispheres and executive functions to support their association tasks, whereas the novices mainly used their right hemisphere and memory retrieval functions. The visual association of experts appeared to be more goal-directed than that of the novices. Accordingly, designing and implementing authentic and goal-directed activities for improving the executive functions of the prefrontal cortex and default mode network are critical for design educators and creativity researchers. (C) 2017 Elsevier B.V. All rights reserved.
Nickel Nanocrystals Embedded in Metal-Alumina-Nitride-Oxide-Silicon Type Low-Temperature Polycrystalline-Silicon Thin-Film Transistor for Low-Voltage Nonvolatile Memory Application
(2011-06-01)
Wang, Terry Tai-Jui
;
Liu, Yu-Cheng
;
Wu, Chien-Hung
;
Lu, Tien-Lin
;
Hsieh, Ing-Jar
In this work, a nickel nanocrystal (Ni-NC) assisted metal-alumina-nitride-oxide-silicon (MANOS) thin-film transistor (TFT) nonvolatile memory (NVM) was fabricated by a standard low temperature polycrystalline silicon (LTPS) TFT process. The size range and density of Ni-NCs were approximately 5-13 nm and 5 x 10(11) cm(-2), respectively. The programming/erasing (P/E) voltages are decreased down to -10 and +8 V, respectively, by the Fowler-Nordheim tunneling mechanism from gate injection. In this P/E voltage condition, a large memory window (similar to 4.2 V) was observed by current-voltage measurement. Then, the speed and voltages of P/E were measured and discussed completely. The data retention of the Ni-NC assisted MANOS-LTPS-TFT-NVM is extracted to be 1.62 V of memory window after 10(4) s. (C) 2011 The Japan Society of Applied Physics
SEGMENTING HEPATIC LESIONS USING RESIDUAL ATTENTION U-NET WITH AN ADAPTIVE WEIGHTED DICE LOSS
(2019-01-01)
Liu, Yu-Cheng
;
Tan, Daniel Stanley
;
Chen, Jyh-Cheng
;
Cheng, Wen-Huang
;
Hua, Kai-Lung
We propose a novel network architecture called Residual Attention U-Net (ResAttU-Net) for segmenting hepatic lesions. Our model incorporates residual blocks that can extract more complex features as compared with traditional convolutional layers combined with a skip-connection attention module that learns to focus on the relevant features for the task of hepatic lesions segmentation. Moreover, we train our model using an adaptive weighted dice loss that prioritizes the pixels of the tumor class over the pixels of the background class. We evaluate our model on the MICCAI Liver Tumor Segmentation (LiTS) benchmark dataset. Our experimental results show that our method significantly improves upon several state-of-the-art baselines for hepatic lesion or liver tumor segmentation.
Visual attention and association: An electroencephalography study in expert designers
(2017-01)
Liang, Chaoyun
;
Lin, Chin-Teng
;
Yao, Shu-Nung
;
Chang, Wen-Shan
;
Liu, Yu-Cheng
Extant research on the visual attention and association of designers is limited, and scientific evidence dfferentiating among the effects of diverse visual stimuli on design thinking is insufficient. The current study invited 12 healthy expert designers and analysed their experiences of visual attention and association in addition to exploring the differences caused by three types of pictorial representation. The results of this electroencephalography (EEG) experiment indicated that the frontoparietal region was particularly activated when the designers engaged in visual attention tasks, whereas the brainwaves were particularly activated in the distributed prefrontal, frontocentral, and parietooccipital regions during the visual association tasks. In addition, there were no significant differences in the brainwave energy resulting from the three types of pictorial representation applied in this study. The research outcomes linking design studies to cognitive neuroscience establish a concrete foundation for developing future applied research and diverse educational practices. (C) 2016 Elsevier Ltd. All rights reserved.
Visual attention and association: An electroencephalography study in expert designers
(2017-01)
Liang, Chaoyun
;
Lin, Chin-Teng
;
Yao, Shu-Nung
;
Chang, Wen-Shan
;
Liu, Yu-Cheng
Extant research on the visual attention and association of designers is limited, and scientific evidence dfferentiating among the effects of diverse visual stimuli on design thinking is insufficient. The current study invited 12 healthy expert designers and analysed their experiences of visual attention and association in addition to exploring the differences caused by three types of pictorial representation. The results of this electroencephalography (EEG) experiment indicated that the frontoparietal region was particularly activated when the designers engaged in visual attention tasks, whereas the brainwaves were particularly activated in the distributed prefrontal, frontocentral, and parietooccipital regions during the visual association tasks. In addition, there were no significant differences in the brainwave energy resulting from the three types of pictorial representation applied in this study. The research outcomes linking design studies to cognitive neuroscience establish a concrete foundation for developing future applied research and diverse educational practices. (C) 2016 Elsevier Ltd. All rights reserved.