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Your search keyword '"National Taiwan University [Taiwan] (NTU)"' showing total 3 results
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3 results on '"National Taiwan University [Taiwan] (NTU)"'

1. Shared and dual optical parametric generation in non linear photonic crystals of LiTaO3

Author

Hocine Chikh-Touam, Hsi-Jung Lee, Regis Kremer, Min Won Lee, Lung-Han Peng, Azzedine Boudrioua, Laboratoire de Physique des Lasers (LPL), Université Paris 13 (UP13)-Centre National de la Recherche Scientifique (CNRS), Laboratoire Matériaux Optiques, Photonique et Systèmes (LMOPS), CentraleSupélec-Université de Lorraine (UL), Department of Electrical Engineering National Taiwan Ocean University, National Taiwan Ocean University (NTOU), Graduate Institute of Photonics and Optoelectronics (GIPO), National Taiwan University [Taiwan] (NTU), and Université de Lorraine (UL)-CentraleSupélec

Subjects
Quantum optics, Physics, business.industry, Physics::Optics, Nonlinear optics, 02 engineering and technology, 021001 nanoscience & nanotechnology, 01 natural sciences, Square lattice, Signal, 010309 optics, [SPI]Engineering Sciences [physics], Reciprocal lattice, chemistry.chemical_compound, Optics, chemistry, 0103 physical sciences, Lithium tantalate, Physics::Accelerator Physics, 0210 nano-technology, business, ComputingMilieux_MISCELLANEOUS, Beam (structure), Photonic crystal
Abstract

We investigated specific common optical parametric generation (OPG) using a 532nm pump beam along the x axis of a square lattice two-dimensional periodically poled lithium tantalate (2D-PPLT). Twin-beam generation are observed with the signal or the idler beams propagating collinearly and the other OPG counterpart non-collinearly to the pump beam due to participation of reciprocal lattice vectors (RLV) of K 1,±1 . Multi-wavelength dual-beam generation are also observed due to contributions from K 1,0 and K 1,±1 .

Published
2017
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2. Computational and human intelligence in blind Go

Author

Chang-Shing Lee, Li-Wen Wu, Ping-Chiang Chou, Shi-Jim Yen, Hassen Doghmen, Hui-Ming Wang, Fabien Teytaud, Olivier Teytaud, Mei-Hui Wang, Go expert, Go Expert, Machine Learning and Optimisation (TAO), Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université Paris-Sud - Paris 11 (UP11)-Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-CentraleSupélec, Institute of Computer Science and Information Engineering [Taiwan] (Institute of CSIE), National Taiwan University [Taiwan] (NTU), Laboratoire de Recherche en Informatique (LRI), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Department of Applied Mathematics, National Chung Hsing University Taiwan, National Chung Hsing University, Taiwan, National University of Tainan (NUTN), National Dong Hwa University (NDHU), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Inria Saclay - Ile de France, and Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)

Subjects
[INFO.INFO-GT]Computer Science [cs]/Computer Science and Game Theory [cs.GT], Computer science, business.industry, Human intelligence, 05 social sciences, ComputingMilieux_PERSONALCOMPUTING, 0102 computer and information sciences, 01 natural sciences, 050105 experimental psychology, 010201 computation theory & mathematics, 0501 psychology and cognitive sciences, Artificial intelligence, business, Game theory
Abstract

International audience; In this paper, we will consider questions related to blindfolded play: (i) the impact (in various conditions) of playing blindfolded in the level of Go players in 9x9 Go (ii) the influence of a visual support (the visual support is a board with no stone) (iii) which modifications are required for making a program strong in the blind variant of the game (and, somehow surprisingly, implementing a program for playing blind go is not equivalent to implementing a program for playing go) (iv) some conclusions on the rules of blind Go for making it interesting and pedagogically efficient.

Published
2011
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3. Self-powered piezoelectric energy harvesting device using velocity control synchronized switching technique

Author

Francois Costa, Wen-Jong Wu, Yu-Yin Chen, Dejan Vasic, Chih-Kung Lee, Vasic, Dejan, Systèmes et Applications des Technologies de l'Information et de l'Energie (SATIE), École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR)-École normale supérieure - Rennes (ENS Rennes)-Université de Cergy Pontoise (UCP), Université Paris-Seine-Université Paris-Seine-Conservatoire National des Arts et Métiers [CNAM] (CNAM)-Centre National de la Recherche Scientifique (CNRS), Department of Engineering Science and Ocean Engineering, and National Taiwan University [Taiwan] (NTU)

Subjects
Engineering, business.industry, [SPI.NRJ]Engineering Sciences [physics]/Electric power, 020208 electrical & electronic engineering, Electrical engineering, 02 engineering and technology, 021001 nanoscience & nanotechnology, Inductor, 7. Clean energy, Precision rectifier, Rectifier, Power electronics, 0202 electrical engineering, electronic engineering, information engineering, Electronic engineering, 0210 nano-technology, business, Energy harvesting, Wireless sensor network, ComputingMilieux_MISCELLANEOUS, Mechanical energy, [SPI.NRJ] Engineering Sciences [physics]/Electric power, Voltage
Abstract

With the rapid development of low power consumption electronics, wireless sensor networks (WSN) are highly investigated and used to improve our life quality. Using piezoelectric materials to transfer the mechanical energy into electrical energy for batteries of WSN in order to extend the life time is the focus in many researches in the recent years. It is important and efficient to improve the energy harvesting by designing an optimal interface between piezoelectric device and the load. In this paper, a self-powered piezoelectric energy harvesting device is proposed based on the velocity control synchronized switching technique (V-SSHI). Comparing to diode full bridge rectifier standard technique, the synchronized switching harvesting on inductor (SSHI) technique can highly improve harvesting efficiency. However, in real applications when the energy harvesting device is associated with WSN, the SSHI technique needs to be implemented and requires being self-powered. The conventional technique to implement the self-powered SSHI is to use bipolar transistor as voltage peak detector. In this paper, a new self-powered device is proposed, using velocity control to switch the MOSFET more accurately than in the conventional technique. The concept of design and theoretical analysis is presented in detail. Experimental results are examined and show better performance.

Published
2010
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