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Korean Family Name Distribution in the Past
Hoang Anh Tuan Kiet,김범준,정하웅,백승기 한국물리학회 2007 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.51 No.5
We empirically study the genealogical trees of ten families for about five centuries in Korea. Although each family tree contains only the paternal part, the family names of women married to the family have been recorded, which allows us to estimate roughly the family name distributions for the past five hundred years. Revealed is the fact that the unique Korean family name distribution, characterized by a logarithmic form of the cumulative distribution and an exponentially decaying rank-size plot often called the Zipf plot, has remained unchanged for a long time. We discuss the implications of our results within a recently suggested theoretical model and compare them with observations in other countries in which power-law forms are abundantly found.
A deep sparse autoencoder method for automatic EOG artifact removal
Hoang-Anh The Nguyen,Anh Tuan Do,Thanh Ha Le,The Duy Bui 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
In this paper, a novel hybrid method that combines wavelet transform and deep sparse autoencoder for ocular artifact removal is presented. This deep wavelet sparse autoencoder (DWSAE) is capable of suppressing EOG artifacts effectively while preserving the nature of background EEG signals. DWSAE is automatic in either training (unsupervised learning) or correcting phase that makes it a good solution to be integrated into real-time Brain computer interfaces. DWSAE is compared with two other methods that are Second order blind identification (SOBI) and Wavelet neural network (WNN). The experimental results on a public visual attention task dataset show that it address limitations posed by SOBI and WNN effectively.
Anh Tuan Hoang 국제이네비해양경제학회 2018 International Journal of e-Navigation and Maritime Vol.9 No.1
Physical smothering in a long time and toxic components due to the oil spill and oil slick disasters can not only affect directly, very seriously marine creatures, plants and life of other animals but also they pollute the air environment and reduce the health of human. Some activities such as the waterway accidents, the tanker or bilge discharges, and the acts of wanton vandalism are the main causes that pollute the ocean environment. The regulations of many countries such as the prevention of oil spill, reducing maximally the effects of the oil spill, and speeding up the oil spill degradation are to aim at treating and recovering fast, efficiently oil spills and oil slicks. The selection of suitable techniques for oil spill recovery and treatment depends on many factors such as the spilled oil volume, oil type, weather conditions (wind velocity), sea conditions (current velocity and wave height), cost and the fact situations of each country. In this paper, four methods used for oil spill recovery including physical-, chemical-, thermal-, and biodegradation method are introduced. The structure of mechanical devices including booms, skimmers and absorbent materials, the properties of chemicals such as dispersants and solidifies, the methods based on the thermal technologies, the major microorganisms for oil degradation for oil spill recovery, treatment and cleanup are analyzed. Each mentioned method also shows the advantages and disadvantages, as well as its applicability. The selection of suitable method for oil spill recovery purpose on the basis of the available equipment and techniques must be ensure that the collected oil spill volume is the largest, the period of time for recovery process is the shortest, aiming at minimizing the negative effects on the human, marine ecosystem, social economy.
Simple Yet Effective Two-Stage Speed Traffic Sign Recognition for Robust Vehicle Environments
Anh-Tuan Hoang,Masaharu Yamamoto,Tetsushi Koide 대한전자공학회 2015 ITC-CSCC :International Technical Conference on Ci Vol.2015 No.6
This paper describes a compact hardware oriented algorithm and its conceptual implementation for realtime traffic signs detection system on automotive oriented FPGA. It uses many simple features such as luminosity different, local pixel direction, and block histogram to find traffic sign candidates and recognize the speed limit. It achieves 98% in speed sign detection rate even in bad condition in Japan scenes, be able to apply anywhere with various platform specification.
Real-time Speed Limit Traffic Sign Detection System for Robust Automotive Environments
Hoang, Anh-Tuan,Koide, Tetsushi,Yamamoto, Masaharu The Institute of Electronics and Information Engin 2015 IEIE Transactions on Smart Processing & Computing Vol.4 No.4
This paper describes a hardware-oriented algorithm and its conceptual implementation in a real-time speed limit traffic sign detection system on an automotive-oriented field-programmable gate array (FPGA). It solves the training and color dependence problems found in other research, which saw reduced recognition accuracy under unlearned conditions when color has changed. The algorithm is applicable to various platforms, such as color or grayscale cameras, high-resolution (4K) or low-resolution (VGA) cameras, and high-end or low-end FPGAs. It is also robust under various conditions, such as daytime, night time, and on rainy nights, and is adaptable to various countries' speed limit traffic sign systems. The speed limit traffic sign candidates on each grayscale video frame are detected through two simple computational stages using global luminosity and local pixel direction. Pipeline implementation using results-sharing on overlap, application of a RAM-based shift register, and optimization of scan window sizes results in a small but high-performance implementation. The proposed system matches the processing speed requirement for a 60 fps system. The speed limit traffic sign recognition system achieves better than 98% accuracy in detection and recognition, even under difficult conditions such as rainy nights, and is implementable on the low-end, low-cost Xilinx Zynq automotive Z7020 FPGA.
Mott Transition in the Asymmetric Hubbard Model at Half-filling: Equation of Motion Approach
Anh-Tuan Hoang,Thi-Thu-Trang Tran,Duc-Anh Le 한국물리학회 2016 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.68 No.2
We investigate the Mott metal-insulator transition in the asymmetric Hubbard model, which may describe the ground states of fermionic atoms trapped in optical lattices. We use the dynamical mean-field theory and the equation of motion approach to calculate the density of states at the Fermi level and the double occupation for various values of the on-site interaction U and the hopping asymmetry r. The critical interaction is also obtained as a function of the hopping asymmetry. Our results are in good agreement with the ones obtained by using the dynamical mean field theory with the exact diagonalization and the quantum Monte Carlo techniques.
Orientation-dependent optical characterization of atomically thin transition metal ditellurides
Hoang, Anh Tuan,Shinde, Sachin M.,Katiyar, Ajit K.,Dhakal, Krishna P.,Chen, Xiang,Kim, Hyunmin,Lee, Suk Woo,Lee, Zonghoon,Ahn, Jong-Hyun The Royal Society of Chemistry 2018 Nanoscale Vol.10 No.46
<P>Molybdenum ditellurides (MoTe2) have recently attracted attention owing to their excellent structurally tunable nature between 1T′(metallic)- and 2H(semiconducting)-phases; thus, the controllable fabrication and critical identification of MoTe2 are highly desired. Here, we semi-controllably synthesized 1T′- and 2H-MoTe2 crystals using the atmospheric pressure chemical vapor deposition (APCVD) technique and studied their grain-orientation dependency using polarization-sensitive optical microscopy, Raman scattering, and second-harmonic generation (SHG) microspectroscopy. The polycrystalline 1T′-MoTe2 phase with quasi-1D “Mo-Mo” zigzag chains showed anisotropic optical absorption, leading to a clear visualization of the lattice domains. On the other hand, 2H-MoTe2 lattice grains did not exhibit any discernible difference under polarized light illumination. The combined aforementioned microscopy techniques could be used as an easy-to-access and non-destructive tool for a quick and solid identification of intended lattice orientation development in industry-scale MoTe2 crystal manufacturing.</P>