• Title/Summary/Keyword: Pattern region

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A Study on the Classification of the Women's Pants Silhouettes by Their Pattern Construction (여성 팬츠의 패턴 구조에 따른 스타일 분류)

  • Yoon, Mi-Kyung;Nam, Yun-Ja
    • Journal of the Korean Society of Clothing and Textiles
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    • v.33 no.5
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    • pp.741-751
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    • 2009
  • In order to design and develop the various silhouette of pants pattern for standardized pants patterns, this study is to classify the pants style by the silhouette and to characterize each pants pattern which are classified. Recent 37 ready-made pants patterns of various style were collected in order to analyze their silhouette from April to July 2007. Measurement of each region of the pants pattern were compared and analysed. After analyse the standard deviation, coefficient of variance, minimum, maximum, range about the measurement of each region of the pants pattern, major pattern design factors were extracted. Five major factors are the angle of center front line and center back line, the crotch extension, the position of center back line against center front line, the curvature of center back line, and amount of waist dart. As a result, pants style were grouped as the culottes, formal, basic and tight style after considering the extracted design factors, and analysing correlation, degree of dispersion of the measurement by part. As the silhouette of pants classification from culotte to tight, the fits are closer to the figure, crotch depth increases, crotch extensions are shorter, and angle of the center back increases. The shape of the connected front and back center lines is U-shape for culotte and is closer to V-shape as the silhouette becomes tight.

Text Region Extraction using Pattern Histogram of Character-Edge Map in Natural Images (문자-에지 맵의 패턴 히스토그램을 이용한 자연이미지에서의 텍스트 영역 추출)

  • Park, Jong-Cheon;Hwang, Dong-Guk;Lee, Woo-Ram;Kwon, Kyo-Hyun;Jun, Byoung-Min
    • Proceedings of the KAIS Fall Conference
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    • 2006.11a
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    • pp.220-224
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    • 2006
  • The text to be included in the natural images has many important information in the natural image. Therefore, if we can extract the text in natural images, It can be applied to many important applications. In this paper, we propose a text region extraction method using pattern histogram of character-edge map. We extract the edges with the Canny edge detector and creates 16 kind of edge map from an extracted edges. And then we make a character-edge map of 8 kinds that have a character feature with a combination of an edge map. We extract text region using 8 kinds of character-edge map and 16 kind of edge map. Verification of text candidate region uses analysis of a character-edge map pattern histogram and structural feature of text region. The method to propose experimented with various kind of the natural images. The proposed approach extracted text region from a natural images to have been composed of a complex background, various letters, various text colors effectively.

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E-mail Survey for Developing Clinical Guideline Protocol on Acupuncture Treatment for Low Back Pain (요통에 관한 침구임상 진료지침 프로토콜 개발을 위한 전자우편 설문조사)

  • Lee, Seung-Hoon;Nam, Dong-Woo;Kang, Jung-Won;Kim, Eun-Jung;Kim, Hyun-Wook;Song, Ho-Sueb;Kim, Sun-Woong;Kim, Kap-Sung;Lee, Geon-Mok;Lee, Jae-Dong
    • Journal of Acupuncture Research
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    • v.26 no.3
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    • pp.115-131
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    • 2009
  • Objectives: This survey was done in order to find out how Korean medical doctors derive pattern identification for acupuncture prescriptions in treating low back pain in real clinical practice. Methods : The survey questionnaire was developed by the committee of experts who major in acupuncture & moxibustion or statistics for acupuncture clinical trial protocol development. The questionnaires were distributed via e-mail to 75 members of Korean Acupuncture & moxibustion society from March 26th to April 14th in 2009. 57 members completed answers, and the computerized data were analyzed by SPSS 17.0 statistical program. Results : 1.57 Korean medical doctors selected meridian pattern identification based on the course of the meridians(44.6%), visceral pattern identification(32.1%), pattern identification based on cause of disease(14.3%) as the most commonly used pattern identification methods for acupuncture prescription when treating low back pain patients in real clinical practice. 2. In meridian pattern identification based on the course of the meridians, gallbladder meridian of hypochondriac region(13.0%), bladder meridian of lateral low back region(11.2%), governer vessel of central low back region(11.7%) were selected 3. In visceral pattern identification, yang deficiency of kidney(20.2%), deficiency of kidney(19.3%), liver(16.7%), yin deficiency of kidney(14.0%), violence qi of kidney(8.8%), small intestine(7.9%) were selected. Conclusions : In our e-mail survey, Korean medical doctors answered that Meridian Pattern Identification based on the course of the meridians is the most often used diagnosis method. Visceral pattern identification, pattern identification based on cause of disease, meridian pattern identification based on symptom and pattern identification based on qi-blood-yin-yang theory in order of frequency used, were selected for low back pain diagnosis in real clinical practice.

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A Study on the Design Improvement of Street Facilities in Jeollabuk-do Province (전라북도 가로시설물의 디자인 제고를 위한 연구)

  • Kim, Sang Hyun;Kim, Hong Bae
    • Journal of the Korean Institute of Rural Architecture
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    • v.25 no.2
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    • pp.1-8
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    • 2023
  • This study reveals the absence of standard design guidelines by region through investigation and analysis centered on public design cases by region in Jeollabuk-do and design elements that can reflect the integration, identity, and diversity of public design in each region by five regions. Through this, the following conclusions could be obtained. First, to improve the quality of street facilities in Jeollabuk-do, the design elements (design motif, color, pattern) applicable to the standard design were analyzed by dividing them into five regions. As a design motif, it was possible to extract patterns containing straight lines, sophistication, dignity, and smartness. In the Northeast region, it is comfortable with the motif of the mountain ridge reflecting geographical characteristics, and it can be extracted elements that contain warm and natural colors. In the southeastern region, patterns that reflect design elements were extracted by applying safe, lively, and peaceful colors with the design motif of curves that blend nature and agriculture. In the southwestern region, design pattern elements that highlight nature, history, and culture were extracted with various cultural assets and natural greenery as motifs. Lastly, in the Saemangeum region, the ocean flow and greenery could be used as a design motif to reflect a positive, clear, future-oriented image in the design spot zones by region. Second, based on the standard design elements (design motive, color, pattern) by region extracted for the standard design development of street facilities in each region in Jeollabuk-do, an integrated zone(Form, structure, material, color, functional element) to which regional design guidelines can be applied. Third, an integrated zone (form, structure, material, color, functional elements) was composed. In addition, design spot zones (patterns and colors in city and county units) that can contain the diversity and identity of each region were designated. By designating design spot zones (patterns and colors in city and county units) that can contain the diversity and identity of each region, standard design development plans (integrated pillars, jaywalking prevention fences, roundabouts (urban type, rural type), street trees) Eight standard designs, including protective covers, street planters, flat benches, light benches, visual media for user guidance, and parking zones for personal mobile devices) were presented.

Forged Color Region Detection Using Color Pattern Decomposition and Hypothesis Test (컬러 패턴의 분해와 가설검정을 이용한 컬러 조작 영역 검출)

  • Seo, Jun Ryung;Eom, Il Kyu
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.7
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    • pp.77-85
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    • 2015
  • In this paper, we present a new method that can detect forged color region using color pattern decomposition and hypothesis testing approach. On the basis of the fact that the variance of the interpolated pixel is smaller than that of the original pixel, we use a statistical test method to judge the statistical inconsistency of variance. For this, we calculate the variance adopting a color pattern decomposition according to the demosaicking pattern. In addition, we apply high-pass filtering to enlarge the difference between the variances of original and interpolated pixel. Through experimental simulations, we can see that our proposed method can effectively detect forged color regions and shows superior detection performance compared to the conventional method.

Role of the Promoter Region of a Chicken H3 Histone Gene in Its Cell Cycle Dependent Expression

  • Son, Seung-Yeol
    • BMB Reports
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    • v.32 no.4
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    • pp.345-349
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    • 1999
  • We fused the promoter region of an H3.2 chicken histone gene, whose expression is dependent on the cell cycle, to the 5' coding region of an H3.3 chicken histone gene, which is expressed constitutively at a low level throughout the cell cycle. This fusion gene showed a cell cycle-regulated pattern of expression, but in a different manner. The mRNA level of the fusion gene increase during the S phase of the cell cycle by about 3.7-fold at 6 h and 2.7-fold at 12 h after the serum stimulation. The mRNA level of the intact H3.2 gene, however, increased by an average of 3.6-fold at 6 h and 8.7-fold at 12 h. This different expression pattern might be due to the differences in their 3' end region that is responsible for mRNA stability. The 3' end of the H3.2 mRNA contains a stem-loop structure, instead of a poly(A) tail present in the H3.3 mRNA. We also constructed a similar fusion gene using a H3.3 histone gene whose introns had been eliminated to rule out the possibility of involvement of the introns in cell cycle-regulated expression. The expression of this fusion gene was almost identical to the fusion gene made previously. These results indicate that the promoter region of the H3.2 gene is only partially responsible for its expression during the S phase of the cell cycle.

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Evaluation of Contribution Rate of PM Concentrations for Regional Emission Inventories in Korean Peninsula Using Brute-force Sensitivity Analysis (Brute-force 방법을 이용한 한반도 미세먼지 농도에 대한 배출원의 기여도 산출 연구)

  • Lee, Soon-Hwan;Lee, Kang-Yeol
    • Journal of Environmental Science International
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    • v.24 no.11
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    • pp.1525-1540
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    • 2015
  • In order to clarify the contribution rate of PM concentration due to regional emission distribution, Brute force analysis were carried out using numerical estimated PM data from WRF-CMAQ. The emission from Kyeongki region including Seoul metropolitan is the largest contribution of PM concentration than that from other regions except for emission of trans-country and source itself. Contribution rate of self emission is also the largest at Kyeongki region and its rate reach on over 95 %. And the rate at Gangwon region also higher than any region due to synoptic wind pattern. Due to synoptic wind direction at high PM episode, pollutants at downwind area along from west to east and from north to south tends to mix intensively and its composition is also complicated. Although the uncertainty of initial concentration of PM, the contribution of regional PM concentration tend to depend on the meteorological condition including intensity of synoptic and mesoscale wind and PM emission pattern over upwind region.

(Pattern Search for Transcription Factor Binding Sites in a Promoter Region using Genetic Algorithm) (유전자 알고리즘을 이용한 프로모터 영역의 전사인자 결합부위 패턴 탐색)

  • 김기봉;공은배
    • Journal of KIISE:Software and Applications
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    • v.30 no.5_6
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    • pp.487-496
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    • 2003
  • The promoter that plays a very important role in gene expression as a signal part has various binding sites for transcription factors. These binding sites are located on various parts in promoter region and have highly conserved consensus sequence patterns. This paper presents a new method for the consensus pattern search in promoter regions using genetic algorithm, which adopts the assumption of N-occurrence-per-dataset model of MEME algorithm and employs the advantage of Wataru method in determining the pattern length. Our method will be employed by genome researchers who try to predict the promoter region on anonymous DNA sequence and to find out the binding site for a specific transcription factor.

A Vehicle License Plate Recognition Using Intensity Variation and Geometric Pattern Vector (명암도 변화값과 기하학적 패턴벡터를 이용한 차량번호판 인식)

  • Lee, Eung-Ju;Seok, Yeong-Su
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.369-374
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    • 2002
  • In this paper, we propose the react-time car license plate recognition algorithm using intensity variation and geometric pattern vector. Generally, difference of car license plate region between character and background is more noticeable than other regions. And also, car license plate region usually shows high density values as well as constant intensity variations. Based on these characteristics, we first extract car license plate region using intensity variations. Secondly, lightness compensation process is performed on the considerably dark and brightness input images to acquire constant extraction efficiency. In the proposed recognition step, we first pre-process noise reduction and thinning steps. And also, we use geometric pattern vector to extract features which independent on the size, translation, and rotation of input values. In the experimental results, the proposed method shows better computation times than conventional circular pattern vector and better extraction results regardless of irregular environment lighting conditions as well as noise, size, and location of plate.

A Pattern Matching Algorithm Using Correlation in Fourier Domain (푸리에영역에서 상관을 이용한 패턴매칭 알고리듬)

  • Lee Choong Ho
    • Journal of Korea Multimedia Society
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    • v.7 no.9
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    • pp.1255-1262
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    • 2004
  • This paper proposes a pattern matching algorithm which is useful for pattern matching and verification of images which includes noises. This algorithm is based on the feature that the signal energy of image is concentrated in a small frequency region in Fourier domain. The proposed method extracts the small parts around origins and compares the regions. Specifically, the parts around origins are extracted and subtracted, and finally experimental threshold is adopted for pattern matching. In particular, the proposed algorithm is useful for the images which includes noises because the noises are distributed in the high frequency region generally, and the method extracts the low frequency region only. Experimental result shows the method recognize ten standard images and three images includes various noises. This method shows the performance which is equal to or better than that of Phase Only Correlation in some cases.

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