• 제목/요약/키워드: 문서 영상

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An Intelligent Image Retrieval System using XML (XML을 이용한 지능형 이미지 검색 시스템)

  • 홍성용;나연묵
    • Journal of Korea Multimedia Society
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    • 제7권1호
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    • pp.132-144
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    • 2004
  • With the rapid development of internet technology, the number of internet users and the amount of multimedia information on the internet is ever increasing. Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of image information. As a result, it is required to support content- based image retrieval efficiently on such image data. This paper proposes an intelligent image retrieval system, which adopts XML, technology. To support object-based col)tent retrieval on product catalog images containing multiple objects, we describe a multi -level metadata structure which represents the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata and show how to represent such metadata using XML- documents. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile browser, using XSLT The proposed scheme can be easily implemented on any commercial platforms supporting XML technology. It can be utilized to enable efficient image metadata sharing between systems, and it will contribute in improving the retrieval correctness and the user's satisfaction on content-based e-catalog image retrieval.

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The Study on the Mapping of Wind Resource using Moving Filter Technique at Udo, Jeju Island (무빙필터 기법을 적용한 제주 우도지역의 풍력자원지도 작성에 대한 연구)

  • Moon, Seo Jeong;Ko, Jung Woo;Lee, Byung Gul
    • Journal of Korean Society for Geospatial Information Science
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    • 제20권4호
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    • pp.29-36
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    • 2012
  • In order to create a wind resource map, we need wind data, contour map and roughness map. Moving Filter technique was applied to Udo of Jeju Island to improve the accuracy and efficiency of creating roughness map based on the Land Cover Map of the Ministry of Environment. The Land Cover Map was simplified using moving filtering, and the roughness map was created with this Land Cover Map. The wind resource map was created using this roughness map. Finally, we verified the validity and application of moving filter technique for wind resource map. As a result, the wind map which was created using the roughness map with moving filtering showed bias values which were all negative. It means the wind map is underestimated to values of wind energy and RMSE values were also from 0.0237m/s to 0.0253m/s at 50m height. In other words, estimation of wind resource using image filtering provides reliable results at 80m height typically when the wind turbine is installed. Finally, we found that image filtering technique is very useful tool to make wind resource map.

The Archival Method Study For Female Worker in the 1970s : Focused on (1970년대 여성 노동자 아카이빙 방법론 연구 전시 를 중심으로)

  • Lee, Hye Rin;Park, Ju Seok
    • The Korean Journal of Archival Studies
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    • 제63호
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    • pp.145-165
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    • 2020
  • , in collaboration with Mary Kelly, Kay Hunt and Margaret Harrison, tells the story of workers in the 1970s. Since the late 1960s, the world has undergone many political and social changes, and social movements have been active to protect the socially underprivileged, including women, children and workers. This phenomenon led to the diversification of the collection of the general public, the community, and the minority, and the expansion of the artist's political remarks and themes in the art world. , completed in conjunction with these social issues, surveyed and recorded the reality of workers in a factory in London and produced it as a artwork. is a collaborative work of three artists, a record of workers in the 1970s, and a record of the labor situation, factory, and even the history of the region. Therefore, this study examined the methods and features of , which dealt with the lives of women workers in the 1970s, based on social conditions.

Recommender System using Association Rule and Collaborative Filtering (연관 규칙과 협력적 여과 방식을 이용한 추천 시스템)

  • 이기현;고병진;조근식
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 한국지능정보시스템학회 2002년도 춘계학술대회 논문집
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    • pp.265-272
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    • 2002
  • 기존의 인터넷 웹사이트에서는 사용자의 만족을 극대화시키기 위하여 사용자별로 개인화 된 서비스를 제공하는 협력적 필터링 방식을 적용하고 있다 협력적 여과 기술은 비슷한 선호도를 가지는 사용자들과의 상관관계를 기반으로 취향에 맞는 아이템을 예측하여 특정 사용자에게 추천하여준다. 그러나 협력적 필터링은 추천을 받기 위해서 특정 수 이상의 아이템에 대한 평가를 요구하며, 또한 전체 사용자에 대해 단지 비슷한 선호도를 가지는 일부 사용자 정보에 의지하여 추천함으로써 나머지 사용자 정보를 무시하는 경향이 있다. 그러나 나머지 사용자 정보에도 추천을 위한 유용한 정보가 숨겨져 있다. 우리는 이러한 숨겨진 유용한 추천 정보를 발견하기 위하여 본 논문에서는 협력적 여과 방식과 함께 데이터 마이닝(Data Mining)에서 사용되는 연관 규칙(Association Rule)을 추천에 사용한다. 연관 규칙은 한 항목 그룹과 다른 항목 그룹 사이에 존재하는 연관성을 규칙(Rule)의 형태로 표현한 것이다. 이와 같이 생성된 연관 규칙은 개인 구매도 분석, 상품의 교차 매매(Cross-Marketing), 카탈로그 디자인, 염가 매출품(Loss Leader)분석, 상품 진열, 구매 성향에 따른 고객 분류 다양하게 사용되고 있다. 그러나 이런 연관 규칙은 추천 시스템에서 잘 응용되지 못하고 있는 실정이다. 본 논문에서 우리는 연관 규칙을 추천 시스템에 적용해, 항목 그룹 사이에 연관성을 유도함으로써 추천에 효율적으로 사용할 수 있음을 보였다. 즉 전체 사용자의 히스토리(History) 정보를 기반으로 아이템 사이의 연관 규칙을 유도하고 협력적 여과 방식과 함께 보조적으로 연관 규칙을 추천을 위해 사용함으로써 추천 시스템에 효율성을 높였다. 구축, 각종 전자문서 생성, 전자 결제, 온라인 보험 가입, 해운 선용품 판매 및 관련 정보 제공 등 해운 거래를 위한 종합적인 서비스가 제공되어야 한다. 이를 위해, 본문에서는 e-Marketplace의 효율적인 연계 방안에 대해 해운 관련 업종별로 제시하고 있다. 리스트 제공형, 중개형, 협력형, 보완형, 정보 연계형 등이 있는데, 이는 해운 분야에서 사이버 해운 거래가 가지는 문제점들을 보완하고 업종간 협업체제를 이루어 원활한 거래를 유도할 것이다. 그리하여 우리나라가 동북아 지역뿐만 아니라 세계적인 해운 국가 및 물류 ·정보 중심지로 성장할 수 있는 여건을 구축하는데 기여할 것이다. 나타내었다.약 1주일간의 포르말린 고정이 끝난 소장 및 대장을 부위별, 별 종양개수 및 분포를 자동영상분석기(Kontron Co. Ltd., Germany)로 분석하였다. 체의 변화, 장기무게, 사료소비량 및 마리당 종양의 개수에 대한 통계학적 유의성 검증을 위하여 Duncan's t-test로 통계처리 하였고, 종양 발생빈도에 대하여는 Likelihood ration Chi-square test로 유의성을 검증하였다. C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료만을 투여한 대조군의 대장선종의 발생률은 84%(Group 3; 21/25례)로써 I3C 100ppm 및 300ppm을 투여한 경우에 있어서는 각군 모두 60%(Group 1; 12/20 례, Group 2; 15/25 례)로 감소하는 경향을 나타내었다. 대장선종의 마리당 발생개수에 있어서는 C57BL/6J-Apc$^{min/+}$계 수컷 이형접합체 형질전환 마우스에 AIN-76A 정제사료

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Analysis of School Space for Students' Customized Classes: Focused on Vittra Telefonplan School in Sweden (학생 맞춤형 수업을 위한 학교 공간 분석: 스웨덴 비트라 텔레폰플랜(Vittra Telefonplan) 학교를 중심으로)

  • Shin, Jin-Su;Jo, Hyang-Mi
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제20권10호
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    • pp.433-445
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    • 2019
  • This study was designed to create an innovative Korean school space plan. This was done by performing an analysis of cases of student-tailored class operations and the composition of school space in Sweden's Vittra Telefonplan School. To this end, the research team analyzed prior studies, the Vittra school space and the student-tailored classes through an analysis of the literature, documents and video images. First, the OpenSpace was operating classes tailored to each student's academic growth and needs. Second, the open-space school space played a role as the space for student life. Third, the teacher played a role as an active guide and facilitator of students. Forth, the students' individual learning management team actively conducted coding classes by utilizing IT-based learning platforms. The implications of the Vittra School are as follows. When designing a new school, it is recommended to design a small school as small as possible, organize an open space according to the grade and not by the class, and operate the curriculum around the students' grade. When reorganizing existing schools, it is proposed that standardized classrooms be modified for schools with spare classrooms to create learning spaces that can vary for large to small and to practice project-oriented classes at the grade level.

Deep Learning Description Language for Referring to Analysis Model Based on Trusted Deep Learning (신뢰성있는 딥러닝 기반 분석 모델을 참조하기 위한 딥러닝 기술 언어)

  • Mun, Jong Hyeok;Kim, Do Hyung;Choi, Jong Sun;Choi, Jae Young
    • KIPS Transactions on Software and Data Engineering
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    • 제10권4호
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    • pp.133-142
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    • 2021
  • With the recent advancements of deep learning, companies such as smart home, healthcare, and intelligent transportation systems are utilizing its functionality to provide high-quality services for vehicle detection, emergency situation detection, and controlling energy consumption. To provide reliable services in such sensitive systems, deep learning models are required to have high accuracy. In order to develop a deep learning model for analyzing previously mentioned services, developers should utilize the state of the art deep learning models that have already been verified for higher accuracy. The developers can verify the accuracy of the referenced model by validating the model on the dataset. For this validation, the developer needs structural information to document and apply deep learning models, including metadata such as learning dataset, network architecture, and development environments. In this paper, we propose a description language that represents the network architecture of the deep learning model along with its metadata that are necessary to develop a deep learning model. Through the proposed description language, developers can easily verify the accuracy of the referenced deep learning model. Our experiments demonstrate the application scenario of a deep learning description document that focuses on the license plate recognition for the detection of illegally parked vehicles.

Applying the Metaverse Platform and Contents in Practical Engineering Education (공학교육 현장에서의 메타버스 플랫폼 및 콘텐츠 활용)

  • Lee, Yongsun;Lee, Taekhee
    • Journal of the Korea Computer Graphics Society
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    • 제28권3호
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    • pp.31-43
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    • 2022
  • Recently, metaverse is rapidly expanding its area as a platform that can be applied to various fields. In particular, the function that allows many users to interact in a three-dimensional space allows VR/AR-based educational content to be used as a more advanced concept. Due to the nature of engineering education, it is often based on three-dimensional objects. In the case of a three-dimensional object, it is difficult to explain through two-dimensional videos or documents, and it becomes more difficult to express when the process of changing the object is included. The three-dimensional space of the metaverse can improve this difficulty based on real-time rendering. Another characteristic of engineering education is that there are many invisible elements. Although it is involved in the movement of objects due to electromagnetic fields, magnetic fields, and forces, it is the main reason for increasing learning difficulty because it is invisible. These problems can also help learning because they can be visually represented in the metaverse space. In this paper, the results of the establishment of the metaverse platform for engineering education and the real-time lecture contents produced based on it are described, and the applied results and lecture evaluation are discussed. Lectures using a total of 9 metaverse contents were conducted, and 90% of the positive lecture evaluation results were obtained.

Improvement of Encoding Detection Algorithm for Multi-byte Encoded Data with Errors (오류가 발생한 멀티바이트 인코딩 데이터의 인코딩 기법 판별 알고리즘 개선)

  • Bae, Junwoo;Kim, Seonbeom;Park, Heejin
    • The Journal of Korean Institute of Next Generation Computing
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    • 제13권2호
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    • pp.18-25
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    • 2017
  • In computer science, an encoding is a standardization of converting information to one format for audio, video or text. Therefore, the encoding information of the data should be known to open and read it and there are algorithms detecting encoder of the data. However, some informations of data could be disappeared by packet loss when transmitted on network, especially, if the data is snatched by packet sniffing or eavesdropping from wireless communications. In this paper, we improve the performance of encoding detection algorithm of 'uchardet' program for multi-byte encoded data with errors based on bit-shift algorithm. To simulate the performance, we generated Korean and Japanese text data with errors that is removed some random bits at random positions. Then the detection algorithm are tested using the data and 'uchardet-bitshift' showed better performance than 'uchardet'. When Korean texts are used, 'uchardet' could detect perfectly with ≤0.005% errors but it showed 0% detection rate with ≥1% errors while 'uchardet-bitshift' detected perfectly with ≤0.05% errors and it showed correct detection cases with ≥1% errors. Japanese texts with errors tend to report falsely as Chinese encoding because Japanese texts include lots of Chinese characters. As a results, we improved encoding detection algorithms by applying bit shift operation.

An Empirical Study for Model Development Concerning Advance Directive (사전의료지시서(Advance Directives) 모형 개발을 위한 실증 연구)

  • Hong, Seongae
    • 한국노년학
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    • 제30권4호
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    • pp.1197-1211
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    • 2010
  • This research was concucted to present a model of advance directives(AD) when a patient, who is in consciousness, shows a preference for an end of life care as an act of preparing for an uncertain situation that may arise in the forseeable future. The subjects of the research are 383 doctors/nurese and adults, who live in six cities and provinces, to investigate the status of AD, attitude regarding a meaningless life-prolonging treatment, and moreover, an understanding of and a preference for AD. The research was done by the well-structured questionnaire. Also, SPSS 14.0 is used to analyse the collected data, focused on frequency analysis, avearage and standard deviation, X2 test. As the results of the study, the most of the surveyed doctors/nurese knew DNR orders and AD and a few of them used DNR orders and AD practically. Also, the result shows that there is a negative conception of meaningless life-prolonging treatment among the responents, in addition, most of them agreed upon the idea of introducing AD to Korea, filling it out and making it legally effective. As a method of making AD out, the respondents wanted to use a form that mixed living will with an Power of Attorney in a document. Also, considering the appropriate time, respondents prefered when they are diagnosed with terminal illness. At the moment, the introductory model for AD, which is suitable for the Korean culture and current situation is presented based on the result of this research. In the future, other researches should deal with specific measures that can lead to a social consensus to adopt AD in Korea.

The Effect of Deodeok Contents on the Quality of Deodeok Wine (더덕 함량이 더덕 침출주의 품질에 미치는 영향)

  • Kwon, Dong-Jin;Choi, Shin-Yang
    • Food Science and Preservation
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    • 제14권4호
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    • pp.414-418
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    • 2007
  • The physicochemical characteristics and sensory properties of Deodeok wine, formed by leaching of Deodeok at room temperature for 180 days, were investigated over the following range of Deodeok levels: 10, 15 and 20% (all w/v). The higher the level of Deodeok, the greater were the final values of total sugars, reducing sugars, total polyphenols, and crude saponins. The Hunter's b-value (yellowness) of Deodeok wine varied markedly with Deodeok levels, and yellowness was highest in Deodeok wine containing 20% (w/v) Deodeok. Non-volatile compounds, that form the basis of the liquor tax law, were 0.64, 1.38 and 2.11% (all w/v), respectively, at day 160. Of these values, that of 2.11% (w/v), the level of non-volatile compounds in Deodeok wine containing 20% (w/v) Deodeok, was in accord with the liquor tax law (that requires this figure to be 2.0%). Sensory evaluation showed that Deodeok wine containing 20% (w/v) Deodeok was superior to the other wines tested.