• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.5-12
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• 2007

This paper gives a novel approach that can be represented an image efficiently with its region and shape information together. To do this, we introduced a region-centralized shape descriptor(RCSD) that the size of region only exists at a center point. RCSD consists of circles with three parameters, the distance and the angle between the tenter points, and the diameter, respectively We verified the RCSD parameters to have an information of shape. We can be proved this by reconstructing the shape from the given parameters and evaluated the difference between the its image and the original one. To get this image, we find the estimated points on the contour from the parameters, and connect them by using an interpolation. According to the evaluation, we obtained 88% performance for real images, and showed that it can be used efficiently for representing the binary images. Also we cu make RCSD parameters to be the normalized patterns to have an invariant of its scale or position, and expand them to improve the quality of the performance.

• The Korean Journal of Mycology
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• v.32 no.2
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• pp.148-151
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• 2004

This study was carried out to elucidate phylogenetic relationship of a yellow lump, Phellinus linteus by comparing the nuclear ribosomal intergenic spacer (IGS) I region with that of other genera of basidiomycetes retrieved from Genbank. IGS I region of Phellinus linteus was 730 bp long and sequence homology was conserved in the 5' region, in particular $1{\sim}280\;bp$, and decreased in the direction toward the 3' end. ITS region was widely studied in phylogenies related to basidiomycetes, but IGS region was not well understood yet. Our study indicated that IGS region can be a good tool in phylogenetic study of basidiomycetes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.6C
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• pp.610-618
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• 2002

This paper presents a new image retrieval method that is based on color space and block region information. The color space information of images can be obtained by color binary set, and the block region information can be obtained by regional segmentation and feature. The candidate images are decided by comparing with color features and its binary set of query image and image feature database for retrieval. Particularly, it is possible that the retrieval using similarity-measurements has the weights of color spatial distribution arid its objective block region features. This retrieval method using color spatial and block region features is shown with the effectiveness on the result of implementation on image database with 6,000 images.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.7 no.1
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• pp.84-91
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• 2008

In this paper, we propose a Sequency domain based BPM-UWB receiver compensating for distortion in the multi-path channel. We give a mathematical derivation for the proposed receiver which exploits a matched filter theory for optimum reception. We also analyze the system performance and present the simulation results that show the performance enhancement of the proposed system.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.625-633
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• 2018

The goal of this study is to investigate the features of Korean eighth graders' achievement and its trend in Chemistry in TIMSS 2011 and TIMSS 2015, and to explore its implications for Korean science curriculum and in teaching science. With three science educators and six science teachers, we analyzed the characteristics of Korean eighth graders' achievement in Chemistry by test-curriculum matching analysis. According to the trend analysis of science topics with released items for Chemistry in TIMSS 2015, Korean students' percentage for correct answers has dropped in topics such as regularities in chemical reactions, oxidation-reduction, etc. since these topics are covered after the ninth grade in the 2009 revised curriculum. For science cognitive domains, Korean students showed weaknesses in 'applying' domain in TIMSS 2015. Based on the results, we suggested implications for improvement in middle school chemistry curriculum and how to improve science teaching and learning for students' better science competencies and real-world application of science knowledge.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.5C
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• pp.295-301
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• 2011

In [1], it has been shown that the energy spreading transform (EST) based iterative equalizer (IE) could enhance its performance by improving the reliability of the decision feedback symbols without the help of the complicated channel decoder. In the matched filter (MF) based IE proposed in [1], however, its feedforward filter (FFF) has been designed in the frequency domain while its feedback filter (FBF) in the time domain. So its complexity increases proportional to the channel memory length. To solve this problem, in this paper, both FFF and FBF are designed in the frequency domain. This enables the proposed frequency domain IE (FD-IE) to achieve the lower complexity over the conventional method in the highly dispersive channel. In addition, simulation results demonstrate that the BER performance of the proposed method is the same as the conventional.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.55-60
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• 2006

The proposed method uses FFT(Fast Fourier Transform) and neural networks in order to extract texts in real time. In general, text areas are found in the higher frequency domain, thus, can be characterized using FFT. The neural network are learned by character region(high frequency) and non character region(low frequency). The candidate text areas can be thus found by applying the higher frequency characteristics to neural network. Therefore, the final text area is extracted by verifying the candidate areas. Experimental results show a perfect candidate extraction rate and about 95% text extraction rate. The strength of the proposed algorithm is its simplicity, real-time processing by not processing the entire image.

• The Transactions of the Korea Information Processing Society
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• v.7 no.11
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• pp.3333-3340
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• 2000

Recently, Requnremeni for video data have been increased rapidly by high progress of both hardware and cornpression technique. Because digital video data are unformed and mass capacity, it needs various retrieval techniquesjust as contednt-based rehieval Superimposed-caption ina digital video can help us to analyze the video story easier and be used as indexing information for many retrieval techniques In this research we propose a new method that segments the caption as analyzing texture eature of caption regions in each video frame, and that extracts the accurate scope of superimposed-caption frame and its key regions and color by measunng cominuity of caption regions between frames

• Korean Journal of Optics and Photonics
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• v.8 no.3
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• pp.245-249
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• 1997

An electro-optic polymer digital optical switch with a coupling region modified for optimum coupling is designed and demonstrated. Its branch waveguide is fabricated by reactive ion etching. Then, the modified coupling region is adiabatically introduced along the propagation direction from the branching point of the two waveguides, and it is implemented by photobleaching after the device fabrication. The structure of the modified coupling region and its refractive index profiles are designed to optimize and mode coupling in the Y-branch waveguide. Therefore, the switching performance of the device was shown to be enhanced with a fixed device length. The measured drive voltage is reduced by more than 30 percents, and the crosstalk is also improved by about 4~6 dB.

• Journal of the Korea Society of Computer and Information
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• v.19 no.6
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• pp.11-17
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• 2014

While safe and convenient, ultrasound imaging analysis is often criticized by its subjective decision making nature by field experts in analyzing musculoskeletal system. In this paper, we propose a new automatic method to extract muscle area using ART2 neural network based quantization. A series of image processing algorithms such as histogram smoothing and End-in search stretching are applied in pre-processing phase to remove noises effectively. Muscle areas are extracted by considering various morphological features and corresponding analysis. In experiment, our ART2 based Quantization is verified as more effective than other general quantization methods.