• Title/Summary/Keyword: merging

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Rainfall Estimation Using Meteorological Satellite Image and Conditional Merging Method (기상위성과 조건부 합성기법을 이용한 면적강우량 산정 및 평가)

  • Park, Jung-Sool;Kim, Kyung-Tak;Choi, Yun-Seok
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.390-390
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    • 2011
  • 본 연구는 기초기술연구회의 위성정보 활용 지원 운영사업(과제명: 위성영상을 이용한 하천정보 생산 및 활용에 관한 연구)의 연구비 지원에 의해 수행되었습니다. 지난 2010년 6월 발사된 천리안 위성이 약 9개월간의 정지궤도 시험운행을 마치고 본격적으로 위성자료 서비스를 시작함에 따라 한반도 악기상 관측 및 예측 정확도 향상에 기여할 것으로 예상된다. 최근 기후분야 외에도 수자원, 방재, 농업, 해양 등 다양한 응용분야에서 기상위성을 활용하고자 하는 연구가 수행되고 있으며 자료제공 시간의 단축과 기상자료 산출물의 제공으로 천리안 위성은 향후 광범위하게 활용 될 것으로 예상된다. 본 연구는 천리안 위성의 수자원 분야 활용을 위한 기반연구로 천리안 위성과 동일한 채널 특성을 보유한 MTSAT-1R 기상위성을 이용하여 면적강우량을 추정하고 이를 지상관측소를 이용하는 강우보정기법에 적용하며 강우산정 결과를 레이더 및 티센, 크리깅 등과 비교하였다. 강우추정은 NOAA NESDIS의 Power-law 공식을 이용하였으며 지상관측소를 이용한 강우보정은 조건부 합성기법을 적용하였다. 연구대상 유역은 충주댐 유역과 충주댐 유역 상류에 위치한 영월수위표 지점 상류유역을 대상으로 하였으며 레이더 차폐에 따른 레이더 강우량의 감쇄 효과를 분석하고 지형적 특성에 영향 받지 않는 기상위성을 이용한 강우량 산정 기법의 활용성을 제시하였다. 연구결과 레이더 차폐에 영향 받지 않는 영월 수위표 상류유역의 경우 레이더를 이용한 강우량 산정결과와 기상위성을 이용한 결과가 큰 차이가 없으나 전체 유역면적의 절반 정도가 레이더 차폐 지역에 포함되는 충주댐 유역의 경우 레이더를 이용할 경우 20%~35% 가량 강우량이 과소 추정되는 것으로 나타났다. 본 연구를 토대로 산악지형에 의해 레이더 차폐가 발생되는 유역에 대해 기상위성의 활용을 기대할 수 있을 것으로 판단되었다.

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Biochemical Reactions on a Microfluidic Chip Based on a Precise Fluidic Handling Method at the Nanoliter Scale

  • Lee, Chang-Soo;Lee, Sang-Ho;Kim, Yun-Gon;Choi, Chang-Hyoung;Kim, Yong-Kweon;Kim, Byung-Gee
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.11 no.2
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    • pp.146-153
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    • 2006
  • A passive microfluidic delivery system using hydrophobic valving and pneumatic control was devised for microfluidic handling on a chip. The microfluidic metering, cutting, transport, and merging of two liquids on the chip were correctly performed. The error range of the accuracy of microfluid metering was below 4% on a 20 nL scale, which showed that microfluid was easily manipulated with the desired volume on a chip. For a study of the feasibility of biochemical reactions on the chip, a single enzymatic reaction, such as ${\beta}-galactosidase$ reaction, was performed. The detection limit of the substrate, i.e. fluorescein $di-{\beta}-galactopyranoside$ (FDG) of the ${\beta}-galactosidase$ (6.7 fM), was about 76 pM. Additionally, multiple biochemical reactions such as in vitro protein synthesis of enhanced green fluorescence protein (EGFP) were successfully demonstrated at the nanoliter scale, which suggests that our microfluidic chip can be applied not only to miniaturization of various biochemical reactions, but also to development of the microfluidic biochemical reaction system requiring a precise nano-scale control.

Estimating The Number of Hierarchical Distinct Values using Arrays of Attribute Value Intervals (속성값 구간 배열을 이용한 계층 상이값 갯수의 계산 기법)

  • Song, Ha-Joo;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.2
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    • pp.265-273
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    • 2000
  • In relational database management systems(RDBMS), a table consIn relational database management systems(RDBMS), a table consists of sets of records which are composed of a set of attributes. The number of distinct values(NDV) of an attribute denotes the number of distinct attribute values that actually appear in the database records, and is widely used in optimizing queries and supporting statistic queries. Object-relational database management systems(ORBBMSS), however, support the inheritance between tables which enforces an attribute defined in a super-table to be inherited in sub-tables automatically. Hence, in ORDBMSS, not only NDV of an attribute In a single table but also NDV of an attribute in multiple tables(HNDV) is needed. In this paper, we propose a method that calculates HNDV using arrays of attribute value intervals. In this method, an array of attribute value intervals is created for an attribute of interest In each table in a table hierarchy, and HNDV can be calculated or estimated by merging the arrays of attribute value intervals. The proposed method accurately calculates HNDV using small additional storage space and is efficient for an environment where only some of the tables in a table hierarchy are frequently updated.

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Character Region Detection Using Structural Features of Hangul & English Characters in Natural Image (자연영상에서 한글 및 영문자의 구조적 특징을 이용한 문자영역 검출)

  • Oh, Myoung-Kwan;Park, Jong-Cheon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.3
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    • pp.1718-1723
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    • 2014
  • We proposes the method to detect the Hangul and English character region from natural image using structural feature of Hangul and English Characters. First, we extract edge features from natural image, Next, if features are not corresponding to the heuristic rule of character features, extracted features filtered out and select candidates of character region. Next, candidates of Hangul character region are merged into one Hangul character using Hangul character merging algorithm. Finally, we detect the final character region by Hangul character class decision algorithm. English character region detected by edge features of English characters. Experimental result, proposed method could detect a character region effectively in images that contains a complex background and various environments. As a result of the performance evaluation, A proposed method showed advanced results about detection of Hangul and English characters region from natural image.

Content-based image retrieval using region-based image querying (영역 기반의 영상 질의를 이용한 내용 기반 영상 검색)

  • Kim, Nac-Woo;Song, Ho-Young;Kim, Bong-Tae
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.10C
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    • pp.990-999
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    • 2007
  • In this paper, we propose the region-based image retrieval method using JSEG which is a method for unsupervised segmentation of color-texture regions. JSEG is an algorithm that discretizes an image by color classification, makes the J-image by applying a region to window mask, and then segments the image by using a region growing and merging. The segmented image from JSEG is given to a user as the query image, and a user can select a few segmented regions as the query region. After finding the MBR of regions selected by user query and generating the multiple window masks based on the center point of MBR, we extract the feature vectors from selected regions. We use the accumulated histogram as the global descriptor for performance comparison of extracted feature vectors in each method. Our approach fast and accurately supplies the relevant images for the given query, as the feature vectors extracted from specific regions and global regions are simultaneously applied to image retrieval. Experimental evidence suggests that our algorithm outperforms the recent image-based methods for image indexing and retrieval.

News Topic Extraction based on Word Similarity (단어 유사도를 이용한 뉴스 토픽 추출)

  • Jin, Dongxu;Lee, Soowon
    • Journal of KIISE
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    • v.44 no.11
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    • pp.1138-1148
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    • 2017
  • Topic extraction is a technology that automatically extracts a set of topics from a set of documents, and this has been a major research topic in the area of natural language processing. Representative topic extraction methods include Latent Dirichlet Allocation (LDA) and word clustering-based methods. However, there are problems with these methods, such as repeated topics and mixed topics. The problem of repeated topics is one in which a specific topic is extracted as several topics, while the problem of mixed topic is one in which several topics are mixed in a single extracted topic. To solve these problems, this study proposes a method to extract topics using an LDA that is robust against the problem of repeated topic, going through the steps of separating and merging the topics using the similarity between words to correct the extracted topics. As a result of the experiment, the proposed method showed better performance than the conventional LDA method.

Metal-Body Images in Shinya Tsukamoto's (1989) (츠카모토 신야의 <철남(鐵男)>(1989)을 통해 살펴 본 기계적-몸 이미지)

  • Kwon, Soojin;Kwon, Hajin
    • The Journal of the Korea Contents Association
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    • v.15 no.6
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    • pp.168-178
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    • 2015
  • This article analysis the aesthetics of metal-body of (1989) and its metamorphosis of dehumanization through visual desires expressed by body images. This paper suggests theoretical analysis based on aesthetic views to understand the underlying meanings. The research categorizes three types of images; surreal image, grotesque image and eros image from the metamorphosis of dehumanization and transformation throughout the film. As the surreal image, the metamorphic process of transformation, demolition, derangement, illusion, and human desire continues to reflect the evil side of a human in everyday life. It also visualizes the images of exaggeration through weakness and bizarre side of metal-body. The grotesque image of body metamorphosis displays and symbolizes double-sides of bizarre and weak side of human in the everyday environment when malformation reaches its peak when Tetsuo finally shows his transforming figure. Finally, the eros image is analogized as a man's inner self and self-destruction in surreal world and a grotesque figure when overwhelming desire of transforming into rebirth of a perfect metal-body, Tetsuo. The surreal image, grotesque image, and eros image portraits human desires inner and outer-self into visualized image and that represents the means of excessive desire for dreaming of world domination with merging non-organic medium of metal and organic body to create a perfect body-image.

Detection of genetic abnormalities in human sperm, oocytes, and preimplantation embryos using fluorescence in situ hybridization (FISH) (Fluorescence in situ hybridization(FISH) 기법을 이용한 인간 생식세포 및 착상전 배아의 유전이상 검색)

  • 방명걸
    • Proceedings of the Korean Society of Developmental Biology Conference
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    • 1998.07a
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    • pp.12-18
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    • 1998
  • Tremendous progress has been made over the past quarter-century studying the genetics of gametogenesis and the resulting gametes and embryos. Studies merging molecular techniques and conventional cytogenetics are now beginning to bridge the gap between what we have learned about the meiotic process in males and females and what we know of the mitotic chromosomes of zygotes. Numerical abnormalities in sperm, oocytes and embryo can now diagnosed by fluorescence in situ hybridization (FISH). "At risk" couples can, therefore, have only unaffected embryos replaced in the sterus and avoid the possibility of terminating a pregnancy that might only be diagnosed as affected later gestation. Single-cell genetic analysis has also provided powerful tools for studying genetic defects arising during early human development. Recent studies of sperms, oocytes and cleavage-stage human embryos have revealed an unexpectedly high incidence. These genetic abnormalities are likely to contribute to early pregnancy loss and have important implications for improving pregnancy rates in infertile couples by assisted reproduction. The widespread use of preimplantation genetic diagnosis (PGD) awaits further documentatio of safety and accuracy. Other issues also must be addressed. First, the ethical issues regarding germ cell and embryo screening must be addressed including what diseases are serious enough to warrant the procedure. Another concern is the use of this technology for non-genetic disorders such as gender selection. Finally, the experimental nature of these procedure must continually be discussed with patients, and long-term follow-up studies must be undertaken. Development of more accurate and less expensive assays coupled with improved assisted reproductive technology success rates may make PGD a more widely use clinical tool. The future awaits these development.velopment.

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A Study on Analysis of User Behavior and Needs for Efficient Use of a Home Smart Mirror (홈 스마트 미러의 효율적 활용을 위한 사용자 행태 및 니즈 분석 연구)

  • Oh, Moonseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.1
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    • pp.119-129
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    • 2016
  • Rapid changes to the paradigm of smart media have created a communication environment through merging with various media such as IoT technology, which is internet of things. Among them, user' need for a start home, which is one of people living conditions, has been growing and values of the communication environment in a living space using a smart mirror have been growing. However, studies on figuring out behavior and analyzing needs of family members who actually use the living space are insufficient. This study is to draw the service system of the home smart mirror by analysis of behavior and needs of users of the living space. For a research method for analysis of behavior of family members, I wrote two kinds of user's experience maps, which are frequency of use of a quantitative space of a living space and space's important value scales by persona study and depth interview. Through this, applied spaces of the home smart mirror (living room, bathroom, powder room, dress room, porch, kitchen, room) and the types of user needs (type of providing information, entertainment type, control type, service type) have been drawn and statistical analysis methodology has been utilized for a research of user preferences in regard to correlation between living spaces and types of user needs based on a survey. As a result of analysis of ages and gender, types of user needs by space have been drawn and the service system of the home smart mirror has been drawn. It would be utilized as a basic material for various contents development and design using the smart mirror in the future.

ELECTRO-MICROSCOPE BASED 3D PLANT CELL IMAGE PROCESSING METHOD

  • Lee, Choong-Ho;Umeda Mikio;Takesi Sugimoto
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.227-235
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    • 2000
  • Agricultural products are easily deformable its shape because of some external forces. However, these force behavior is difficult to measure quantitatively. Until now, many researches on the mechanical property was performed with various methods such as material testing, chemical analysis and non-destructive methods. In order to investigate force behavior on the cellular unit of agricultural products, electro-microscope based 3D image processing method will contribute to analysis of plant cells behavior. Before image measurement of plant cells, plant sample was cut off cross-sectioned area in a size of almost 300-400 ${\mu}$ m units using the micron thickness device, and some of preprocessing procedure was performed with fixing and dyeing. However, the wall structure of plant cell is closely neighbor each other, it is necessary to separate its boundary pixel. Therefore, image merging and shrinking algorithm was adopted to avoid disconnection. After then, boundary pixel was traced through thinning algorithm. Each image from the electro-microscope has a information of x,y position and its height along the z axis cross sectioned image plane. 3D image was constructed using the continuous image combination. Major feature was acquired from a fault image and measured area, thickness of cell wall, shape and unit cell volume. The shape of plant cell was consist of multiple facet shape. Through this measured information, it is possible to construct for structure shape of unit plant cell. This micro unit image processing techniques will contribute to the filed of agricultural mechanical property and will use to construct unit cell model of each agricultural products and information of boundary will use for finite element analysis on unit cell image.

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