• Title/Summary/Keyword: 마르

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Study on the Retreatment Techniques for NOAA Sea Surface Temperature Imagery (NOAA 수온영상 재처리 기법에 관한 연구)

  • Kim, Sang-Woo;Kang, Yong-Q.;Ahn, Ji-Sook
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.17 no.4
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    • pp.331-337
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    • 2011
  • We described for the production of cloud-free satellite sea surface temperature(SST) data around Northeast Asian using NOAA AVHRR(Advanced Very High Resolution Radiometer) SST data during 1990-2005. As a result of Markov model, it was found that the value of Markov coefficient in the strong current region such as Kuroshio region showed smaller than that in the weak current. The variations of average SST and regional difference of seasonal day-to-day SST in spring and fall were larger than those in summer and winter. In particular, the distribution of the regional difference appeared large in the vicinity of continental in spring and fall. The difference of seasonal day-to-day SST was also small in Kuroshio region and southern part of East Sea due to the heat advection by warm currents.

Women's Body in the Fashion of John Galliano and Martin Margiela (존 갈리아노(John Galliana)와 마르탱 마르지엘라(Martin Margiela) 패션에 표현된 여성의 몸)

  • Shin, Ha-Na;Lee, Min-Sun
    • Journal of the Korean Society of Costume
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    • v.60 no.7
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    • pp.14-30
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    • 2010
  • The purpose of this study is to come up with a perspective that can enhance the understanding about the mechanism of fashion change. The starting idea of this study is that fashion has changed according to the ideal body image of the specific society or individual. The theoretical framework about the ideal body image has been studied by the literatures on the subject and it is verified by the analysis of John Galliano & Martin Margiela's fashion works. The results are as follows. First, Galliano exposes the woman's body as a sexual symbol which is articulated by men's eyes. Margiela describes the woman's body as human being which doesn't highlight any sexual characteristics. Second, Galliano emphasizes the body conscious silhouette whereas Margiela perceives the body as a whole, rather than looks into each body part. Third, Galliano uses lots of decoration to make display luxurious. Margiela restrains himself from using decorations and tries to create images by interaction between the clothes and bodies. Forth, Galliano expresses the eroticism by accentuating eyes and lips with strong color cosmetics. Margiela's fashion is not dazzling with makeup. He even covers the face with fabrics. Aesthetics in all societies is articulated by their hidden social power groups, and then it has influence on taking shape of the ideal body image and the mainstream of fashion. But the innate characters of individuals offer challenges to the fashion majority. The tension between the social power and individual character makes and changes the fashion.

Development of On-line Monitoring Techniques for Fumaric Acid and Succinic Acid by Flow Injection Analysis (흐름주입분석기술에 의한 푸마르산과 숙신산의 모니터링 기술 개발)

  • 손옥재;김춘광;이종일
    • KSBB Journal
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    • v.18 no.5
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    • pp.377-384
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    • 2003
  • On-line monitoring techniques for fumaric acid and succinic acid were developed by flow injection analysis (FIA). For the determination of fumaric acid, two enzymes, fumarase and malic dehydrogenase were immobilized on VA-epoxy Biosynth E3-carrier and integrated into a FIA-system with a fluorescence detector. For the analysis of succinic acid, isocitrate lyase and isocitrate dehydrogenase were also immobilized on VA-epoxy polymer support and used in a FIA system. The immobilized enzymes in two FIA systems were characterized systematically, e.g. optimum pH and temperature, inhibitory effects etc. Two FIA systems were also used to on-line monitor the concentrations of fumaric acid and succinic acid in biotechnological processes. Good agreement between on-line monitored data and off-line data measured by HPLC showed extensive application of the FIA systems in bioprocesses.

An Empirical Study on Tracking Table for Consistency and Completeness Validation in the Outputs (산출물의 일관성과 완전성 검증을 위한 추적테이블의 경험적 연구)

  • Kim, Ju-Young;Rhew, Sung-Yul
    • Journal of KIISE:Software and Applications
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    • v.34 no.5
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    • pp.419-430
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    • 2007
  • It is very important to track whether software is properly developed according to requirements. This study suggests a method to track requirements by using a tracking table. In this study, the tracking table indicates why such requirements are included by detailing the content of requests for proposals and proposals. The table also facilitates verification of the consistency between outputs and the integrity by having ID codes of each requirement mapped to each output. Furthermore, as this study was conducted, it was found that some factors were required to be added or supplemented to the outputs at the requirement gathering stage of MaRMI-Ⅲ v.4.0 methodology. Thus, this study seeks to present this additional result along with the enhanced tracking table. By verifying outputs, the tracking table presented in this study will help to reduce all kinds of risks and problems that may occur in software development due to the lack of management of requirements. In addition, the output of the requirement-gathering stage of MaRMI-Ⅲ v.4.0 methodology will be improved/supplemented according to the creation of tracking tables; this will increment the applicability of the MaRMI-III methodology.

Natural Scene Text Binarization using Tensor Voting and Markov Random Field (텐서보팅과 마르코프 랜덤 필드를 이용한 자연 영상의 텍스트 이진화)

  • Choi, Hyun Su;Lee, Guee Sang
    • Smart Media Journal
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    • v.4 no.4
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    • pp.18-23
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    • 2015
  • In this paper, we propose a method for detecting the number of clusters. This method can improve the performance of a gaussian mixture model function in conventional markov random field method by using the tensor voting. The key point of the proposed method is that extracts the number of the center through the continuity of saliency map of the input data of the tensor voting token. At first, we separate the foreground and background region candidate in a given natural images. After that, we extract the appropriate cluster number for each separate candidate regions by applying the tensor voting. We can make accurate modeling a gaussian mixture model by using a detected number of cluster. We can return the result of natural binary text image by calculating the unary term and the pairwise term of markov random field. After the experiment, we can confirm that the proposed method returns the optimal cluster number and text binarization results are improved.

Characteristics and Implications of Marseille's Euromméditerranée as an Integrated Urban Regeneration Project (통합형 도시재생사업으로서 마르세유 유로메디테라네의 특성과 시사점)

  • Wonseok Park
    • Land and Housing Review
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    • v.15 no.1
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    • pp.99-115
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    • 2024
  • This study aims to investigate Marseille's Euromméditerranée project and provide policy implications for revitalizing domestic urban regeneration projects. First, we identify Euroméditerranée as a pivotal urban regeneration effort, executed by EPAEM-an organization fostering governance-driven project advancement through collaboration and investment from both central and local governments. This endeavor has significantly contributed to revitalizing Marseille, enriching the quality of life for its residents. Second, this urban regeneration project has the following notable features: consolidated approach with combination of full redevelopment and rehabilitation, integrated regeneration covering hardware-like physical regeneration and software-like economic, cultural, and environmental regeneration; government-type urban regeneration project structure. Finally, we suggest that policymakers should consider the economic scale in urban regeneration projects, national-level government organizations, and efficient public-private partnerships.

Markov Chain Analysis of Opportunistic Cognitive Radio with Imperfect Sensing (불완전 센싱 기회적 인지 전파망의 Markov Chain 분석)

  • Ahn, Hong-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.1-8
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    • 2010
  • Wireless multimedia service through the access to mobile telephone network or data network is a vital part of contemporary life, and the demand for frequency spectrum for new services is expected to explode as the ubiquitous computing proliferate. Cognitive radio is a technology, which automatically recognizes and searches for temporally and spatially unused frequency spectrum, then actively determines the communication method, bandwidth, etc. according to the environment, thus utilizing the limited spectrum resources efficiently. In this paper, we investigate the effects of imperfect sensing, misdetection and false alarm, on the primary and secondary users' spectrum usage through the analysis of continuous time Markov Chain. We analyzed the effects of the parameters such as sensing error, offered load on the system performance.

Multimedia Traffic Analysis using Markov Chain Model in CDMA Mobile Communication Systems (CDMA 이동통신 시스템에서 멀티미디어 트래픽에 대한 마르코프 체인 해석)

  • 김백현;김철순;곽경섭
    • Journal of Korea Multimedia Society
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    • v.6 no.7
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    • pp.1219-1230
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    • 2003
  • We analyze an integrated voice/data CDMA system, where the whole channels are divided into voice prioritized channels and voice non-prioritized channels. For real-time voice service, a preemptivc priority is granted in the voice prioritized channels. And, for delay-tolerant data service, the employment of buffer is considered. On the other hand, the transmission permission probability in best-effort packet-data service is controlled by estimating the residual capacity available for users. We build a 2-dimensional markov chain about prioritized-voice and stream-data services and accomplish numerical analysis in combination with packet-data traffic based on residual capacity equation.

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Human Primitive Motion Recognition Based on the Hidden Markov Models (은닉 마르코프 모델 기반 동작 인식 방법)

  • Kim, Jong-Ho;Yun, Yo-Seop;Kim, Tae-Young;Lim, Cheol-Su
    • Journal of Korea Multimedia Society
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    • v.12 no.4
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    • pp.521-529
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    • 2009
  • In this paper, we present a vision-based human primitive motion recognition method. It models the reference motion patterns, recognizes a user's motion, and measures the similarity between the reference action and the user's one. In order to recognize a motion, we provide a pattern modeling method based on the Hidden Markov Models. In addition, we provide a similarity measurement method between the reference motion and the user's one using the editing distance algorithm. Experimental results show that the recognition rate of ours is above 93%. Our method can be used in the motion recognizable games, the motion recognizable postures, and the rehabilitation training systems.

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