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Le Van Hai,Takeshi Kanashima,Masanori Okuyama 한국물리학회 2009 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.55 No.2
Fast annealing was used to improve the electronic properties of ferroelectric and buffer layers in Pt/SrBi2Ta2O9(SBT)/SiO2/n-Si metal-ferroelectric-insulator-semiconductor (MFIS) structures. Damage of the SiO2 layer due to SBT constituent diffusion was reduced significantly as annealing time at high temperature of the ferroelectric SBT can be reduced from 1 − 2 hours to few minutes. Leakage currents through both the SiO2 buffer and the SBT ferroelectric layers were decreased in the sample prepared by using fast annealing. The C-V and the I-V characteristics also show electronic improvement at the interface and reduced of thermal diffusion of constituent elements. It is shown by SEM and atomic force microscopy(AFM) images revealed that the SBT thin film with fast annealing had a gets better surface morphology. The retention time of a capacitor with a MFIS structure in the ON and the OFF states was improved, and the maximum is retention time was longer than 23 days. Fast annealing was used to improve the electronic properties of ferroelectric and buffer layers in Pt/SrBi2Ta2O9(SBT)/SiO2/n-Si metal-ferroelectric-insulator-semiconductor (MFIS) structures. Damage of the SiO2 layer due to SBT constituent diffusion was reduced significantly as annealing time at high temperature of the ferroelectric SBT can be reduced from 1 − 2 hours to few minutes. Leakage currents through both the SiO2 buffer and the SBT ferroelectric layers were decreased in the sample prepared by using fast annealing. The C-V and the I-V characteristics also show electronic improvement at the interface and reduced of thermal diffusion of constituent elements. It is shown by SEM and atomic force microscopy(AFM) images revealed that the SBT thin film with fast annealing had a gets better surface morphology. The retention time of a capacitor with a MFIS structure in the ON and the OFF states was improved, and the maximum is retention time was longer than 23 days.
Effects of electron beam treatment on cotton linter for the preparation of nanofibrillated cellulose
Le Van Hai,Yung Bum Seo 한국펄프·종이공학회 2016 펄프.종이기술 Vol.48 No.2
Nanofibrillated cellulose (NFC) was prepared from cotton linter after electron beam irradiation to investigate its effects on the manufacturing efficiency of the NFC preparation and the property changes by the treatment. Mechanical device (Super Masscolloider) was used to prepare the NFC and its passing frequency for each NFC preparation was recorded. More electron beam irradiation resulted in less passing frequency. Alpha cellulose content, molecular weight, crystallinity index, and thermal decomposition behavior of each treatment were lowered by electron beam treatment (10 and 100 kGy) and grinding process. NFC films were prepared to investigate their mechanical properties. There were little changes in tensile properties of the NFC films.
Hai Le Xuan,Quoc-Dong Hoang,Soon Geul Lee,Dat Pham Xuan,Hoang Tran Viet,Minh Pham Van,Hung Pham Van,Hung Pham Viet,PHAM DUC TUAN,Duc Anh Nguyen 대한기계학회 2022 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.36 No.2
Ballbots, which have been studied for over ten years, are under-actuated mobile robots that operate using the inverted pendulum paradigm. Controlling a ballbot poses a number of challenges, including maintaining the stable upright posture from the ground in all directions and making sure it follows the desired trajectory. External factors such as a minor change in contact surface properties or fabrication errors can affect the system's stabilization and transfer capabilities. In this study, an adaptive hierarchical sliding mode control algorithm based on an artificial neural network is developed to make the ballbot robust to external factors. The use of the proposed controller ensures system stability despite uncertainties including friction, accidental centrifugal forces and gravity that occur when the ballbot follows the reference trajectory. The system stability is guaranteed on the basis of Lyapunov theory. Control efficiency and robot stability under system uncertainties are demonstrated by numerical simulation.
Le-Hai Cao,Hoang Van-Phuc,Doan Van Sang,Le Dai Phong 한국전자파학회 2022 Journal of Electromagnetic Engineering and Science Vol.22 No.3
Hand gesture recognition is an efficient and practical solution for the non-contact human–machine interaction in smart devices. To date, vision-based methods are widely used in this research area, but they are susceptible to light conditions. To address this issue, radar-based gesture recognition using micro-Doppler signatures can be applied as an alternative. Accordingly, the use of a novel densely convolutional neural network model, Dop-DenseNet, is proposed in this paper for improving hand gesture recognition in terms of classification accuracy and latency. The model was designed with cross or skip connections in a dense architecture so that the former features, which can be lost in the forward-propagation process, can be reused. We evaluated our model with different numbers of filter channels and experimented with it using the Dop-Net dataset, with different time lengths of input data. As a result, it was found that the model with 64 3 × 3 filters and 200 time bins of micro-Doppler spectrogram data could achieve the best performance trade-off, with 99.87% classification accuracy and 3.1 ms latency. In comparison, our model remarkably outperformed the selected state-of-the-art neural networks (GoogLeNet, Res- Net-50, NasNet-Mobile, and MobileNet-V2) using the same Dop-Net dataset.