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      • KCI등재

        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.

      • SCISCIESCOPUS

        A strip array of colorimetric sensors for visualizing a concentration level of gaseous analytes with basicity

        Hoang, Anh Tuan,Cho, Yeong Beom,Kim, Yong Shin Elsevier Sequoia 2017 Sensors and actuators. B Chemical Vol.251 No.-

        <P><B>Abstract</B></P> <P>A colorimetric strip sensor array based on the naked-eye detection has been reported as a simple instrument-free device able to visually display a concentration level of gaseous analytes with basicity. The array has a vertically aligned configuration of five sensing elements and their detection sensitivities to basic analytes are controlled to decrease downwardly. The colorimetric sensors were fabricated by drop-casting a dye solution containing a pH indicator, an acid compound, and hydrophilic polyethylene glycol on a polyacrylonitrile nanofiber mat. The detection sensitivity was regulated by using different amounts of the acid compound in addition to variation in pH Indicator. When sensors containing a pH indicator of bromophenol blue (BPB), bromocresol green (BCG), or chlorophenol red (CPR) were exposed to ammonia gas, coloration happens considerably in the regions of 0–1, 0–5 and 10–100ppm for BPB, BCG and CPR sensors, respectively. Furthermore, the detection sensitivity could be controlled to decrease by increasing an amount of citric acid, which reveals that the color-changing acid-base reactions between pH indicator and basic analytes are reduced by competitive interactions between the analytes and acid additive. As illustrations, two strip sensor arrays based on BPB and BCG dyes were fabricated and confirmed the successful naked-eye discrimination of a NH<SUB>3</SUB> concentration level in the ranges of 1–50 and 5–100ppm, respectively. The concentration level can be determined by a number of coloration elements in the strip device while its resolution relies on a total number of sensing elements.</P> <P><B>Highlights</B></P> <P> <UL> <LI> A strip sensor array was fabricated using five dye-impregnated colorimetric sensors with different detection sensitivity. </LI> <LI> The detection sensitivity was controlled by a kind of dye and an amount of additive citric acid. </LI> <LI> A concentration level of basic analytes was displayed by a number of coloration elements in the strip device. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

      • A reportofthe oil spill recovery and treatment technologiesto reduce the marine environment pollution

        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.

      • 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.

      • KCI등재
      • KCI등재

        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.

      • 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.

      • SCISCIESCOPUS

        Sensitive naked-eye detection of gaseous ammonia based on dye-impregnated nanoporous polyacrylonitrile mats

        Hoang, Anh Tuan,Cho, Yeong Beom,Park, Joon-Shik,Yang, Yoonseok,Kim, Yong Shin Elsevier 2016 Sensors and actuators. B Chemical Vol.230 No.-

        <P><B>Abstract</B></P> <P>Herein, highly sensitive colorimetric detection of gaseous ammonia is reported based on bromocresol green–impregnated polyacrylonitrile (BCG–PAN) nanofibers. The sensing layer with a porous nanofibrous structure was prepared simply by drop-casting a BCG solution containing polyethylene glycol (PEG) and oxalic acid on an electrospun PAN mat. The nanofiber mat exhibited durable structural stability under various conditions of acid, base, acetone and hot water. A smooth nanoporous structure of the sensor provided better color uniformity with a brighter reflectance than the porous paper, thus providing an ideal medium for high-quality colorimetric detection. Upon exposure to 25ppm ammonia, the yellow BCG–PAN mat quickly changed and became saturated to blue within 1min. The sensor was confirmed to have a detection limit of less than 1ppm in the detection by the naked eyes, good selectivity to common volatile organic solvents and reversible color change behavior at ambient conditions. These results straightforwardly demonstrate that sensitive and reversible NH<SUB>3</SUB> detection is possible simply by observing the sensor color without the help of any detecting instruments. The addition of water-soluble PEG into a BCG solution was found to enhance sensor response probably due to its strong hydrophilicity, while the oxalic acid prevented BCG dye from deprotonating by the ambient humidity. Based on the change in reflection spectrum and a great response to amine compounds, the colorimetric detection mechanism was proposed to be the transform of BCG acid form to the base counterpart through the acid-base reaction with basic analytes dissolved into the water-containing nanofiber matrix.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>

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