• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.446-449
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• 2000

A direct RTI(Rotation and translation invariant) fingerprint identification is proposed using the GCMs(generalized complex moments) and Gabor filter-based features from the grey level fingerprint around core point. The core point is located as reference point for the translation invariant matching. And its symmetry axis is detected for the rotation invariant matching from its neighboring region centered at the core point. And then, fingerprint is divided into non-overlapping blocks with respect to the core point and, in contrast to minutiae-based method using various processing steps, features are directly extracted from the blocked grey level fingerprint using Gabor filter, which provides information contained in a particular orientation in the image. The Proposed fingerprint identification is based on the Euclidean distance of the corresponding Gabor features between the input and the template fingerprint. Experiments are conducted on 300 ${\times}$ 300 fingerprints obtained from the CMOS sensor with 500 dpi resolution, and the proposed method could obtain 97% identification rate.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.480-482
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• 2021

The core competence is an increasingly important concept that should be reflected in school education in the abilities that need to be developed over a lifetime. In this study, we analyzed the relationship between core competence and employment of students who took core competence-based training courses for those who graduated from D-University, and reflected it in the improvement of the D-University education course and the university education policy. We plan to utilize the results of future analysis as a material for raising the employment rate and developing human resources that match the human resources image of D-University.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.618-620
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• 2021

The core competence is further growing in importance as a concept that must be continuously developed by individuals and should be reflected in the school curriculum. In this study, we analyze the relationship between core competence and graduation credits (learning ability) of students who have completed a core competence-centered curriculum for graduates of D-University, and reflect it in the curriculum of D-University and university education policy. The purpose is to improve. We plan to utilize the results of future analysis as materials for human resource development that matches the human resources image of D-University.

• Journal of Korea Multimedia Society
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• v.17 no.3
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• pp.324-332
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• 2014

This paper presents a programmable System-On-a-chip for various embedded applications that need Neural Network computations. The system is fully implemented into Field-Programmable Gate Array (FPGA) based prototyping platform. The SoC consists of an embedded processor core and a reconfigurable hardware accelerator for neural computations. The performance of the SoC is evaluated using real image processing applications, such as optical character recognition (OCR) system.

• Proceedings of the IEEK Conference
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• 2003.07b
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• pp.851-854
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• 2003

The low power motion estimation for MPEG-4 is a soft-core for hardwired motion estimation block in MPEG-4. This motion estimation is modified by 10 difference mode. So, this motion estimation decrease a power consumption compare conventional step search. This modified 4SS Low power Motion Estimation has been tested and verified to be valid for implementation of FPGA. The average PSNR between the original image and the motion-compensated image is 28.25dB. And Power consumption is 26mW.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.287-290
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• 2002

The block matching algorithm motion estimation is a soft-core for hardwired motion estimation block in MPEG-2, H.261 encoder. This motion estimation has been tested and verified to be valid for implementation of FPGA. Efficiency performance of the synthesized motion estimation was up to 89%, and the average PSNR between the original image and the motion-compensated image is 38dB.

• Journal of Cardiovascular Imaging
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• v.31 no.3
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• pp.135-141
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• 2023

BACKGROUND: Global longitudinal strain (GLS) is an accurate and reproducible parameter of left ventricular (LV) systolic function which has shown meaningful prognostic value. Fast, user-friendly, and accurate tools are required for its widespread implementation. We aim to compare a novel web-based tool with two established algorithms for strain analysis and test its reproducibility. METHODS: Thirty echocardiographic datasets with focused LV acquisitions were analyzed using three different semi-automated endocardial GLS algorithms by two readers. Analyses were repeated by one reader for the purpose of intra-observer variability. CAAS Qardia (Pie Medical Imaging) was compared with 2DCPA and AutoLV (TomTec). RESULTS: Mean GLS values were -15.0 ± 3.5% from Qardia, -15.3 ± 4.0% from 2DCPA, and -15.2 ± 3.8% from AutoLV. Mean GLS between Qardia and 2DCPA were not statistically different (p = 0.359), with a bias of -0.3%, limits of agreement (LOA) of 3.7%, and an intraclass correlation coefficient (ICC) of 0.88. Mean GLS between Qardia and AutoLV were not statistically different (p = 0.637), with a bias of -0.2%, LOA of 3.4%, and an ICC of 0.89. The coefficient of variation (CV) for intra-observer variability was 4.4% for Qardia, 8.4% 2DCPA, and 7.7% AutoLV. The CV for inter-observer variability was 4.5%, 8.1%, and 8.0%, respectively. CONCLUSIONS: In echocardiographic datasets of good image quality analyzed at an independent core laboratory using a standardized annotation method, a novel web-based tool for GLS analysis showed consistent results when compared with two algorithms of an established platform. Moreover, inter- and intra-observer reproducibility results were excellent.

• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.3
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• pp.413-426
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• 2020

This study researches the association between associative vocabulary and fashion image language in order to extract ideas that can be used as basic data for design ideas. Classic - avant-garde imaged language were chosen as theme words and each 70 questionnaires per a final image word were used for analysis. We obtained the following results by researching keywords that explained classic image words through a word cloud technique. It was found to have high central representation in the order of suit, classical, basic, music, Chanel, black and traditional. The core key words explaining avant-garde image language were found to have a central representation in the order of : peculiar, huge, Comme des Garçons, artistic, creative, deconstruction and individuality. We extracted the necessary idea dimensions needed for design ideas through associative network graph analysis. In the case of classical image language, it was named as the Mannish Item, Music, Modern Color, and the Traditional Classicality dimensions. In the case of avant-garde image language, it was named as the Key Image, Artistic Aura, Key Design and Designers dimensions.

• Journal of IKEEE
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• v.15 no.3
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• pp.255-260
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• 2011

In this paper, we propose a parallelization technique in lane detection by using Hough transform. Hough transform has a weakness that it has a lot computation quantity, because it has to compute ${\rho}$ value in all candidate ${\Theta}$ to be detected in an image. We propose an architecture of parallel processing for this transform in a multi-core environment. The parallel processing has application to Hough transform as well as noise reduction and edge detection. This proposed architecture has 5.17 times improvement in performance compare to the existing algorithm.

• The Korean Journal of Franchise Management
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• v.2 no.1
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• pp.61-73
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• 2011

Supermarket Franchising, as a relatively new mode of retail business, is often regarded as one of the two hallmarks of the "Modern Logistics Revolution". After more than ten years of development, franchise supermarkets have been a rising force in retail business in China. As a product of a highly-developed commercial economy, franchise supermarkets mainly deals in foodstuffs and other daily necessities, featuring low cost, high turnover rate, low prices and diversified inventory. Propelled by the conveniences that come with open shelves and self-service shopping, franchise supermarkets have been growing very rapidly and the rise of many franchise supermarket brands bears testimony to its growth potential and profitability. Meanwhile, in the backdrop of this boom, some franchise supermarkets are going bankrupt. This paper analyzes the current status of franchise supermarkets and some factors bearing on their core competencies, so as to close the competitiveness gap with international retail giants.