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A New Automatic Gait Cycle Partitioning Method and Its Application to Human Identification
Sungjun Hong,Euntai Kim 한국지능시스템학회 2017 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.17 No.2
Gait cycle partitioning is very important prior to human gait analysis such as gait modeling, gait recognition, gait feature analysis, etc. In this paper, we propose a new automatic gait cycle partitioning method based on two kinds of simple gait representation. Then, the propose method is applied to find keyframe corresponding the rest position for gait-based human identification system. To demonstrate the validity of the proposed method, the CASIA gait dataset A and the SOTON gait database are used to evaluate the recognition performance of the gait recognition system identifying subjects using the decision level fusion based on majority voting.
Gait Recognition Using Decision-Level Fusion
Sungjun Hong,Heesung Lee,Byungyun Lee,Euntai Kim 대한전자공학회 2010 ICEIC:International Conference on Electronics, Inf Vol.1 No.1
For human identification, in this paper, a gait recognition system adopting decision-level fusion is proposed. The gait sequence obtained from a video camera is partitioned into multiple gait cycles selecting key frames summarizing a single stride. After gait cycle partitioning, the projection of a silhouette image called as a frieze pattern is calculated as a gait feature. To identify individual, the outputs of the nearest neighbor classifiers are fused by majority voting. To demonstrate the validity of the proposed method, the CASIA gait dataset A are used to evaluate the recognition performance.
Sensitivity Analysis of Width Representation for Gait Recognition
Sungjun Hong,Euntai Kim 한국지능시스템학회 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.2
In this paper, we discuss a gait representation based on the width of silhouette in terms of discriminative power and robustness against the noise in silhouette image for gait recognition. Its sensitivity to the noise in silhouette image are rigorously analyzed using probabilistic noisy silhouette model. In addition, we develop a gait recognition system using width representation and identify subjects using the decision level fusion based on majority voting. Experiments on CASIA gait dataset A and the SOTON gait database demonstrate the recognition performance with respect to the noise level added to the silhouette image.
Nanocrystalline Iron-Ore-Based Catalysts for Fischer-Tropsch Synthesis
Hong, Seok Yong,Park, Ji Chan,Lee, Ho-Tae,Yang, Jung-Il,Hong, SungJun,Jung, Heon,Chun, Dong Hyun American Scientific Publishers 2016 Journal of Nanoscience and Nanotechnology Vol.16 No.2
<P>Nanocrystalline iron ore particles were fabricated by a wet -milling process using an Ultra Apex Mill, after which they were used as raw materials of iron-based catalysts for low-temperature Fischer-Tropsch synthesis (FTS) below 280 degrees C, which usually requires catalysts with a high surface area, a large pore volume, and a small crystallite size. The wet -milling process using the Ultra Apex Mill effectively destroyed the initial crystallite structure of the natural iron ores of several tens to hundreds of nanometers in size, resulting in the generation of nanocrystalline iron ore particles with a high surface area and a large pore volume. The iron-ore-based catalysts prepared from the nanocrystalline iron ore particles effectively catalyzed the low-temperature FTS, displaying a high CO conversion (about 90%) and good 05 hydrocarbon productivity (about 0.22 a.,/,(cat) -h)' This demonstrates the feasibility of using the iron-ore-based catalysts as inexpensive and disposable catalysts for the low-temperature FTS,</P>
Fusion of Multiple Gait Cycles for Human Identification
Sungjun Hong,Heesung Lee,Euntai Kim 제어로봇시스템학회 2009 제어로봇시스템학회 국제학술대회 논문집 Vol.2009 No.8
In this paper, a gait recognition system fusing multiple gait cycles is presented for human identification.First, the cycle length is estimated by calculating the autocorrelation of the foreground sum signal. After gait cycle partitioning, we extract two kinds of gait feature, gait energy image (GEI) and motion silhouette image (MSI). To identify individual, the outputs of the nearest neighbor classifiers are fused at the abstract level based on majorityvoting. Our proposed system is tested on the CASIA gait dataset A and the SOTON gait database. Compared to previous works, our empirical results show extraordinary performance in terms of correct classification rate.
Salicylic Acid-Based Organic Dyes Acting as the Photosensitizer for Solar Cells
Hong, Sungjun,Park, Jae-Hyeong,Han, Ah-Reum,Ko, Kwan-Woo,Eom, Jin Hee,Namgoong, Sung Keon,Lo, Alvie S. V.,Gordon, Keith C.,Yoon, Sungho,Han, Chi-Hwan American Scientific Publishers 2016 Journal of Nanoscience and Nanotechnology Vol.16 No.5
<P>A D-pi-A metal-free organic dye, featuring salicylic acid as a novel acceptor/anchoring unit, has been designed, synthesized and applied to dye-sensitized solar cell. The detailed photophysical, electrochemical, photovoltaic and sensitizing properties of the organic dye were investigated, in addition to the computational studies of the dye and dye-(TiO2)(6) system. A solar cell device using this new organic dye as a sensitizer produced a solar to electric power conversion efficiency (PCE) of 3.49% (J(SC) = 6.69 mAcm(-2), V-OC 0.74 V and ff = 0.70) under 100 mWcm(-2) simulated AM 1.5 G solar irradiation, demonstrating that the salicylic acid-based organic dye is a suitable alternative to currently used organometallic dyes.</P>
Sensitivity Analysis of Width Representation for Gait Recognition
Hong, Sungjun,Kim, Euntai Korean Institute of Intelligent Systems 2016 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.16 No.2
In this paper, we discuss a gait representation based on the width of silhouette in terms of discriminative power and robustness against the noise in silhouette image for gait recognition. Its sensitivity to the noise in silhouette image are rigorously analyzed using probabilistic noisy silhouette model. In addition, we develop a gait recognition system using width representation and identify subjects using the decision level fusion based on majority voting. Experiments on CASIA gait dataset A and the SOTON gait database demonstrate the recognition performance with respect to the noise level added to the silhouette image.
Hong, Seok Yong,Chun, Dong Hyun,Yang, Jung-Il,Jung, Heon,Lee, Ho-Tae,Hong, Sungjun,Jang, Sanha,Lim, Jung Tae,Kim, Chul Sung,Park, Ji Chan RSC Pub 2015 Nanoscale Vol.7 No.40
<P>Using a simple thermal treatment under a CO flow, uniform micrometer-sized iron oxalate dihydrate cubes prepared by hydrothermal reaction were transformed into Fe5C2@C nanoparticles to form a mesoporous framework; the final structure was successfully applied to the high-temperature Fischer-Tropsch reaction and it showed high activity (CO conversion = 96%, FTY = 1.5 ?? 10(-4) molCO gFe(-1) s(-1)) and stability.</P>
Sungjun Hong,Jongchul Park,Seungwon Jeon 한국무역학회 2021 Journal of Korea trade Vol.25 No.6
Purpose – The growth in consumers’ online shopping has even been accelerated by the COVID-19 pandemic. While the purchase can be made from any countries online, the purpose is to examine the effect of the country of the online retailer (COOR) on consumers perceived risk and purchase motivation, focusing on the retailer not on the brand. Design/methodology – Survey data from online shoppers are analized using the structural equation model. Findings – COOR, like COO of the brand manufacturer, positively affect consumer’s purchase intension. First, the images and the perceived psychic distances of the COOR affects both perceived risk and purchase confidence. Secondly, this perceived risk and confidence they put on the transaction then affect the purchase intension of the consumer. Originality/value – We show that the quality of the signal comes not only from the manufacturer-branded product item itself with a certain COO, but also from the retailer who carries it.