• Title/Summary/Keyword: transformed pattern

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Mercerization of Wood: Formation and Reversibility of Na-cellulose I in Reaction Wood

  • Kim, Nam-Hun;Kim, Dae-Young
    • Journal of the Korean Wood Science and Technology
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    • v.31 no.6
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    • pp.1-7
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    • 2003
  • The phase transformation from cellulose I into cellulose II in woods by way of Na-cellulose I was examined by x-ray diffraction analysis.The formation of Na-cellulose I in woods increased with the increase of treating time in alkali solution. When compression wood was treated with 20% NaOH solution at room temperature for 1 day, the x-ray diagram showed only Na-cellulose I. On the other hand, the x-ray diagram of tension wood showed a mixture of cellulose I and Na-cellulose I. Cellulose I of tension wood could not be transformed completely into Na-cellulose I even after 10-day treatment, but was transformed into Na-cellulose I after 30-day treatment. Na-cellulose I of compression and tension woods was converted to the cellulose I pattern and the mixture of cellulose I and cellulose II, respectively, after washing with water and drying at 20℃. Cellulose I regenerated from Na-cellulose I in wood could not be converted to cellulose II by delignification. Thus, it revealed that the delignification of the alkali-treated wood did not affect their cellulose structures. From the results, therefore, it can be concluded that lignin in woods prevents the formation of the stable Na-cellulose I and the conversion from cellulose I to cellulose II. This means that the conversion of chain polarity of wood cellulose hardly occurs during mercerization because cellulose microfibrils are fixed by lignin which not to be intermingled.

Genetic Modification of Coffee Plants

  • Shinjiro Ogita;Hirotaka Uefuji;Park, Yong-Eui;Tomoko Hatanaka;Mikihiro Ogawa;Yube Yamaguchi;Nozomu Koizumi;Hiroshi Sano
    • Journal of Plant Biotechnology
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    • v.4 no.3
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    • pp.91-94
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    • 2002
  • An efficient molecular breeding technique for coffee plants was developed. In order to produce transgenic coffee plants, we established a model transformation procedure via Agrobacterium method. We isolated a gene encoding a protein possessing 7-methylxanthine methyltransferase (theobromine synthase) activity, and it was designated as Coffea arabica 7-methylxanthine methyl transferase; CaMXMT. Using this clone, we produced transgenic coffee plants, in which the expression of CaMXMT is suppressed by double-stranded RNA interference (RNAi) andlor anti-sense methods. The expression pattern of CaMXMT was analyzed by reverse transcription-PCR method and we found that, in the transformed cell lines, the level of transcripts were obviously suppressed by RNAi. The endogenous level of caffeine in the transformed cells was dramatically reduced in comparison with non-transformed cells.

A Data Embedding Technique for Image Watermarking using Fresnel Transform (이미지 워터마킹을 위한 Fresnel 변환을 이용한 데이타 삽입 기법)

  • Seok Kang;Yoshinao Aoki
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.1
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    • pp.70-76
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    • 2003
  • Digital watermarking is a technique embedding hidden information into multimedia data imperceptibly such as images and sounds. Generally an original image is transformed and coded watermark data is embedded in frequency domain watermarking models. In this paper, We propose a new data embedding method using Fresnel transform. A watermark image is fresnel-transformed and the intensity of transformed pattern is embedded into original image. Our watermarking model has the flexibility In data embedding. It is possible to get many embedding patterns from a single watermark image by using various distance parameters with Fresnel transform. All kinds of image models such af shape, letter and photo ran be used as a watermark data. The watermarking experiments were conducted to show the validity of the proposed method, and the results show that our method has the robustness against lossy compression, filtering and geometric transformation.

Production of Anthocyanin by Culture of Hairy Roots of Raphanus sativus cv. Chungpihongsim (청피홍심무우(Raphanus sativus cv. Chungpihongsim)의 모상근 배양에 의한 안토시아닌 생성)

  • 안준철
    • Journal of Plant Biology
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    • v.35 no.1
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    • pp.37-43
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    • 1992
  • The hairy root culture of Raphanus sativus cv. Chungpihongsim was established by transformation with Agrobacterium rhizogenes $A_4$. The transformed roots grew well in adjusted Murashige and Skoog medium to 1/2 basal salts, pH 5.2, 3% sucrose. Agropine and mannopine, opine synthesized in the transformed tissue were detected in the extract of hairy roots. When 2, 4-D and kinetin were added in culture medium of hairy roots, the synthesis of anthocyanin was induced with disorganization of hairy root. Especially, addition of $0.45\;\mu\textrm{M}$ 2, 4-D and $2.3\;\mu\textrm{M}$ kinetin showed the maximum synthesis of anthocyanin. Pattern of anthocyanin synthesized in transformed roots was somewhat different from that of ordinary roots. However, aglycone part of all anthocyanin was identified as pelargonidin. The content of total anthocyanin in this sample was tentatively calculated 0.49 mg/g fresh weight.weight.

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Content-based Image Retrieval Using Texture Features Extracted from Local Energy and Local Correlation of Gabor Transformed Images

  • Bu, Hee-Hyung;Kim, Nam-Chul;Lee, Bae-Ho;Kim, Sung-Ho
    • Journal of Information Processing Systems
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    • v.13 no.5
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    • pp.1372-1381
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    • 2017
  • In this paper, a texture feature extraction method using local energy and local correlation of Gabor transformed images is proposed and applied to an image retrieval system. The Gabor wavelet is known to be similar to the response of the human visual system. The outputs of the Gabor transformation are robust to variants of object size and illumination. Due to such advantages, it has been actively studied in various fields such as image retrieval, classification, analysis, etc. In this paper, in order to fully exploit the superior aspects of Gabor wavelet, local energy and local correlation features are extracted from Gabor transformed images and then applied to an image retrieval system. Some experiments are conducted to compare the performance of the proposed method with those of the conventional Gabor method and the popular rotation-invariant uniform local binary pattern (RULBP) method in terms of precision vs recall. The Mahalanobis distance is used to measure the similarity between a query image and a database (DB) image. Experimental results for Corel DB and VisTex DB show that the proposed method is superior to the conventional Gabor method. The proposed method also yields precision and recall 6.58% and 3.66% higher on average in Corel DB, respectively, and 4.87% and 3.37% higher on average in VisTex DB, respectively, than the popular RULBP method.

A Study on Pattern Language of Cultural Urban Regeneration -Focused on Henan-Sung of China- (문화적 도시재생을 위한 패턴언어 개발연구 -중국 하남성(河南城)을 중심으로-)

  • Fan, Dan Dan;Kim, Se-Hwa
    • The Journal of the Korea Contents Association
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    • v.19 no.6
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    • pp.192-203
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    • 2019
  • China's urban regeneration, which has been focused on economic growth since the 1950's, has brought about the uniformity of cities. In order to improve on this, the urban regeneration policy has been transformed into a cultural city resource, which is promoting urban regeneration while utilizing the cultural characteristics of each region. However, the specific application methods are still lacking. In this study, I attempt to modify the apartment environment of the city, Hanan-sung, based on the pattern-language of Christopher Alexander, a space planning tool that can be used in urban regeneration. First, 23 patterns were chosen from the primary pattern-language. Next, I investigated the characteristics of the traditional housing culture of Hanan-sung through the literature review, surveyed the opinions of current apartment residents, and summarized the requirements. Finally, a new pattern-language was developed for the regeneration of the old apartments from the viewpoint of the culture, by modifying it according to the characteristics and requirements of housing culture of Hanan-sung which summarizes 23 pattern-languages.

Online Signature Verification by Visualization of Dynamic Characteristics using New Pattern Transform Technique (동적 특성의 시각화를 수행하는 새로운 패턴변환 기법에 의한 온라인 서명인식 기술)

  • Chi Suyoung;Lee Jaeyeon;Oh Weongeun;Kim Changhun
    • Journal of KIISE:Software and Applications
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    • v.32 no.7
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    • pp.663-673
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    • 2005
  • An analysis model for the dynamics information of two-dimensional time-series patterns is described. In the proposed model, two novel transforms that visualize the dynamic characteristics are proposed. The first transform, referred to as speed equalization, reproduces a time-series pattern assuming a constant linear velocity to effectively model the temporal characteristics of the signing process. The second transform, referred to as velocity transform, maps the signal onto a horizontal vs. vertical velocity plane where the variation oi the velocities over time is represented as a visible shape. With the transforms, the dynamic characteristics in the original signing process are reflected in the shape of the transformed patterns. An analysis in the context of these shapes then naturally results in an effective analysis of the dynamic characteristics. The proposed transform technique is applied to an online signature verification problem for evaluation. Experimenting on a large signature database, the performance evaluated in EER(Equal Error Rate) was improved to 1.17$\%$ compared to 1.93$\%$ of the traditional signature verification algorithm in which no transformed patterns are utilized. In the case of skilled forgery experiments, the improvement was more outstanding; it was demonstrated that the parameter set extracted from the transformed patterns was more discriminative in rejecting forgeries

A Time-Series Analysis of Landscape Structural Changes using the Spatial Autocorrelation Method - Focusing on Namyangju Area - (공간자기상관분석을 통한 시계열적 경관구조의 변화 분석 - 남양주지역을 대상으로 -)

  • Kim, Heeju;Oh, Kyushik;Lee, Dongkun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.14 no.3
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    • pp.1-14
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    • 2011
  • In order to determine temporal changes of the urban landscape, interdependence and interaction among geo-spatial objects can be analyzed using GIS analytic methods. In this study, to investigate changes in the landscape structure of the Namyangju area, the size and shape of landscape patches, and the distance between the patches were analyzed with the Spatial Autocorrelation Method. In addition, both global and local spatial autocorrelation analyses were conducted. The results of global Moran's I revealed that both patch size and shape index transformed to a more dispersed pattern over time. Next, the local Moran's I of patch size in all time series determined that almost all patches were of a high-low pattern. Meanwhile, the local Moran's I of the shape index was found to have changed from a high-high pattern to a high-low pattern in time series. Finally, as time passes, the number of hot spot patches about size and shape index had been decreased according to the results of hot spot analysis. These changes appeared around the development projects in the study area. From the results of this study, degradation of landscape patches in Namyangju were ascertained and their specific areas were delineated. Such results can be used as useful data in selecting areas for conservation and for preparing plans and strategies in environmental restoration.

Study on the System and Evolution of Type of Men's Costume on the Pattern Books of France in the 19th Century - Focusing on Overcoat and Top-exterior-and-interior(outside) - (19세기 프랑스 패턴북에 나타난 남성복식체계 및 유형변화 - 겉상의의 외투류 및 중간겉상의를 중심으로 -)

  • Kim, Yang-Hee;Ryu, Kyung-Hwa
    • Journal of the Korean Society of Costume
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    • v.66 no.8
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    • pp.157-172
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    • 2016
  • This study aims to present findings of historical design trends of men's fashion, and the characteristics of changes in the types of overcoats and mid jackets shown in French pattern books of the 19th century. The primary data sources for this study comprised one pattern book, each of the17th and 18th century, and 15 pattern books of the 19th century, all of which are conserved by the French National Library. The study methods are as follows: First, analysis of men's fashion trends and the characteristics of changes by type as shown in French pattern books of the 17th to 19th centuries. Second, analysis of the evolution of type of men's overcoats and top-exterior- and-interior (outside) styles shown in French pattern books of the 19th century. As a result, a total of 69 type references were collected from French pattern books of the 17th to 19th centuries. Historically, men's fashion was largely classified into top-exterior, top-exterior-and-interior, top-interior, bottoms and accessories. The two major classifications were as follows: top-exteriors overcoats and robes, And top-exterior-and-interior as top-exterior-and-interior(outside) and top-exterior-and-interior (inside). The study also identified the forms and changes by type. Additionally, this study selected overcoats and top-exterior-and-interior(outside) which fall under typical categories to show the change in the forms of men's fashion of the 19th century. These changes in the types were designated as: continued, faded away, newly appeared and transformed. This study analyzed the time of appearance of the forms by the year of publishing in conjunction with cultural references from previous domestic and international studies. The results showed that the time of changes in the types shown in pattern books did not deviate from the mainstream, which verified their typicality.

Shape Recognition Using Skeleton Image Based on Mathematical Morphology (수리형태론적 스켈리턴 영상을 이용한 형상인식)

  • Jang, Ju-Seok;Son, Yun-Gu
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.4
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    • pp.883-898
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    • 1996
  • In this paper, we propose improved method to recognize the shape for enhancing the quality of the pattern recognition system by compressing the source images. In the proposed method, we reduced the data amount by skeletonizing the source images using mathematical morphology, and then matched patterns after accomplishing the translation and scale normalization, and rotation invariance on the transformed images. Through the scale normalization, it was possible for the shape recognition at minimum amount of the pixel by giving the weight to the skeleton pixel. As the source images was replaced by the skeleton images, it was possible to reduce the amount of data and computational loads dramatically, and so become much faster even with a smaller memory capacity. Through the experiment, we investigated the optimum scale factor and good result was proved when realizing the pattern recognition system.

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