• Title/Summary/Keyword: 속성인식기

Search Result 54, Processing Time 0.024 seconds

A Study on the Space Planning of Culture Contents Exhibition Hall (Based on case study) (문화콘텐츠 전시관 공간기획에 관한 연구)

  • Kim, Kyoung-Nam
    • Journal of Digital Convergence
    • /
    • v.12 no.5
    • /
    • pp.435-442
    • /
    • 2014
  • This study investigated many factors which had to be considered importantly in space planning for the cultural contents exhibition hall on the basis of establishment cases at this time that cultural contents were considered very importantly in the national economy. It must be a priority to set up the concept of the exhibition space which can encompass exhibition spaces, exhibits, the approach to experience exhibitions and others for the effective planning for exhibition spaces showing cultural contents. Visitors' moving lines should be planned based on that concept setting. It is necessary to reflect human attributes that people detect environmental information and perceive the environment through their sensory organs and plan moving lines considering visitors' cognitive, emotional and psychological factors which they can feel according to the temporal order. In addition, this study led visitors to respond exhibits through their five senses and increased the effects that visitors appreciated exhibition spaces, actively getting out of the way that visitors experienced exhibitions, which might be limited to sight. This study will be able to provide specific space planning methods related to the establishment of cultural industry-based professional exhibition halls which have been increased day by day at this time that culture-based industries are considered to be important. Moreover, it will be helpful in reducing the trial and effort factor in the exhibition hall establishment project.

The way to make training data for deep learning model to recognize keywords in product catalog image at E-commerce (온라인 쇼핑몰에서 상품 설명 이미지 내의 키워드 인식을 위한 딥러닝 훈련 데이터 자동 생성 방안)

  • Kim, Kitae;Oh, Wonseok;Lim, Geunwon;Cha, Eunwoo;Shin, Minyoung;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
    • /
    • v.24 no.1
    • /
    • pp.1-23
    • /
    • 2018
  • From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

Views on Life and Humanity in Daesoon Thought (대순사상의 생명관과 인생관)

  • Choi, Chi-bong
    • Journal of the Daesoon Academy of Sciences
    • /
    • v.33
    • /
    • pp.319-349
    • /
    • 2019
  • This study aims to elucidate the origin and yield of life and its characteristics and purpose in Daesoon Thought. Thereby, Taegeuk (the Great Ultimate) and Sangje (the Supreme God) have been deemed the source and ontology of life. The structure of each living creature is explained through reason (理), energy (氣) and spirit (神). In addition, through vital reason and living energy, the purpose of life makes the realization of the benevolent characteristics of life possible through the mind of Sangje. This line of research is unique among currently available research views of life as it perceives the spirit to be an ontological entity with functions and interactive engagement. By way of contrast, prior research suggests that spirit is life itself and includes it in the category of life and death. The Daesoon view of life is unique in that it is somewhat influenced by ontology and developmental theories from Confucianism, yet the concept of divine beings suggests a humanistic Sangje, who presides over the Great Ultimate. The realization of reason in this model is rather thought-provoking. Humans, just like other living things, are born with vital essence and function and interact as a main source to preside over the innate spirits inside themselves. Humans take responsibility for a certain sphere in the Three Realms that make up the world. They are also recognized as a significant feature in the world. Such an idea in Daesoon Thought depicts that 'the enshrinement of spirit into human being (神封於人),' follows Heaven and Earth. This is done to rectify humans in order to meet the needs of the universe and ultimately establish the era of the enshrinement of spirits into human beings. As for humanity, this possibility exists because of the spirits contained within their inner-selves. When cultivating oneself, humans and outer spirits actively interact with each other. This is likely to cause changes in a human's constitution and characteristics. In the end, one can be enshrined with corresponding divine beings according to one's degree of cultivation. Humans are born through the command of Sangje and the accomplishments of their ancestors as well as the energy of the universe. Present day humans encounter the era of human nobility and the era of humankind's divine salvation. Thereby, the purpose of human life is to contribute to the universe. To achieve this goal, the most important thing is to wholly realize that one's nature and reason were endowed by Heaven, which emerged from virtuous conduct in society. This is also akin to the movement of reason in Jeungsanist Thought. Sangsaeng (mutual beneficence) among oneself and others and between human beings and divine beings can be completed through the resolution of grievances for mutual beneficence and the grateful reciprocation of favors for mutual beneficence. If one accomplishes the perfected state of one's own nature and reveals it wholly, then one will be fully able to interact with spirits and reach the state of the human nobility.

An analysis methodology of spatial locational character and change of urban micro land use , with GIS analysis , in the case of Kangnam , Seoul (GIS를 이용한 도시토지이용의 입지특성 및 변화 파악 방법 - 강남 신시가지를 대상으로 -)

  • Kahng, Byong-Kee;Kweon, Ihl;Kim, Tae-Hyun
    • Spatial Information Research
    • /
    • v.5 no.1
    • /
    • pp.27-41
    • /
    • 1997
  • Urban land use planning is the most important core-part, and it is the start and synthetical plan of the other part, in the urban planning. For the desirable urban land use planning draw out the spatial locational character and change of urban land use. The propose of tills study is building methodology of Parcel-based Urban Land use Information Svstem(P-bULlS) and it's apphcation methodology that can be used urban planning or land use planning. To this end, each and all of the land parcels of Kangnam area was analyzed. P-bULIS should be able to easily analyze the spatial locational character and change of land use in the region. And It should be able to the qualitative, quantitative and spatial analysis, and spatial multi-variate statistical analysis can be done at relatively low cost by linking the software of statics to P-bULlS.

  • PDF

Characteristics and Automatic Detection of Block Reference Patterns (블록 참조 패턴의 특성 분석과 자동 발견)

  • Choe, Jong-Mu;Lee, Dong-Hui;No, Sam-Hyeok;Min, Sang-Ryeol;Jo, Yu-Geun
    • Journal of KIISE:Computer Systems and Theory
    • /
    • v.26 no.9
    • /
    • pp.1083-1095
    • /
    • 1999
  • 최근 처리기와 입출력 시스템의 속도 차이가 점점 커짐에 따라 버퍼 캐쉬의 효율적인 관리가 더욱 중요해지고 있다. 버퍼 캐쉬는 블록 교체 정책과 선반입 정책에 의해 관리되며, 각 정책은 버퍼 캐쉬에서 블록의 가치 즉 어떤 블록이 더 가까운 미래에 참조될 것인가를 결정해야 한다. 블록의 가치는 응용들의 블록 참조 패턴의 특성에 기반하며, 블록 참조 패턴의 특성에 대한 정확한 분석은 올바른 결정을 가능하게 하여 버퍼 캐쉬의 효율을 높일 수 있다. 본 논문은 각 응용들의 블록 참조 패턴에 대한 특성을 분석하고 이를 자동으로 발견하는 기법을 제안한다. 제안된 기법은 블록의 속성과 미래 참조 거리간의 관계를 이용해 블록 참조 패턴을 발견한다. 이 기법은 2 단계 파이프라인 방법을 이용하여 온라인으로 참조 패턴을 발견할 수 있으며, 참조 패턴의 변화가 발생하면 이를 인식할 수 있다. 본 논문에서는 8개의 실제 응용 트레이스를 이용해 블록 참조 패턴의 발견을 실험하였으며, 제안된 기법이 각 응용의 블록 참조 패턴을 정확히 발견함을 확인하였다. 그리고 발견된 참조 패턴 정보를 블록 교체 정책에 적용해 보았으며, 실험 결과 기존의 대표적인 블록 교체 정책인 LRU에 비해 최대 57%까지 디스크 입출력 횟수를 줄일 수 있었다.Abstract As the speed gap between processors and disks continues to increase, the role of the buffer cache located in main memory is becoming increasingly important. The buffer cache is managed by block replacement policies and prefetching policies and each policy should decide the value of block, that is which block will be accessed in the near future. The value of block is based on the characteristics of block reference patterns of applications, hence accurate characterization of block reference patterns may improve the performance of the buffer cache. In this paper, we study the characteristics of block reference behavior of applications and propose a scheme that automatically detects the block reference patterns. The detection is made by associating block attributes of a block with the forward distance of the block. With the periodic detection using a two-stage pipeline technique, the scheme can make on-line detection of block reference patterns and monitor the changes of block reference patterns. We measured the detection capability of the proposed scheme using 8 real workload traces and found that the scheme accurately detects the block reference patterns of applications. Also, we apply the detected block reference patterns into the block replacement policy and show that replacement policies appropriate for the detected block reference patterns decreases the number of DISK I/Os by up to 57%, compared with the traditional LRU policy.

SD 모형을 이용한 한국 방위산업의 동태성 연구

  • Seo, Hyeok;O, Gi-Yeol
    • Proceedings of the Korean System Dynamics Society
    • /
    • 2005.10a
    • /
    • pp.23-42
    • /
    • 2005
  • 세계 각 국은 자국의 이익을 보장하기 위해 방위산업의 기반을 강화하고 있고 갈수록 첨단무기체계를 도입 및 개발하고 있는 추세이다. 왜냐하면 방위산업은 평화와 군비경쟁이 공존하는 '균형속의 대결' 양상을 보이는 환경에서 자국의 생존을 위한 중요한 변수이기 때문이다. 한국의 방위산업도 1970년대 이후 괄목할 만한 성장을 이루었으나 구조적인 문제점을 탈피하지 못하였고 이제는 한계점에 도달하였다. 많은 방위산업 분야 전문가들은 현 시점에서 한국 방위산업의 발전과 활성화를 위한 방안들을 제시하였고, 정부에서도 자주국방의 기치 아래 다양한 개혁과 정책을 추구하고 있다. 그러나 대부분의 전문가 제시 내용과 연구 논문들은 방위산업의 대해 제한적으로 정성적인 분석과 대안제시에 국한되어 있는 수준이고 시스템 사고를 통해 인과관계를 분석하여 정책적인 대안을 제시하는 부분이 미흡한 실정이다. 따라서, 본 연구 논문에서는 방위산업의 전반적ㅇ.ㄴ 핵심요인을 식별하고 각 요인들간의 인과관계를 분석하여 한국 방위산업의 인과지도를 제시하였고 이를 통해 구조적인 문제점들을 해결하여 21세기 협력적 자주국방이 가능하도록 정책적인 대안을 제시하였다. 본 논문은 향후 복잡성이 가속화되는 방위산업에서 시스템적 사고를 이해하는데 기여가 될 것이고, 정책을 결정하고 추진하는 의사결정자와 무기체계 획득업무를 담당하는 실무자들에게 반드시 시스템적인 사고에 바탕을 둔 피드백 로프를 고려해야 한다는 것을 인식시킬 수 있을 것이다. 아울러 한국 방위산업의 활성화와 발전에 기여하리라 믿는다.정보통신산업을 미시적 분석이나 세부 항목별 정량적 분석을 통해서가 아니라 산업의 발전 속성 및 경기 순환 등의 관점에서 분석함으로써 정보통신산업 정책의 수립 및 집행을 거시적 안목 하에 정립할 수 있게 한다는 데 의의를 가진다. 또한 경제변수를 묘사하는데 있어 국면전환 확산과정을 사용함으로써 향후 실물옵션 등을 통한 기술 및 무형자산의 가치평가에 있어 기초자산의 움직임을 보다 정확히 포착해 낼 수 있는 프로세스를 제공하였다는데 또 다른 의의를 갖는다고 하겠다. 수 있다. 따라서 성장 ${\cdot}$ 고용 ${\cdot}$ 분배의 조화는 바로 노동효율 증가형 기순혁신이며, 이를 위한 인적자본에의 투자라고 말할 수 있다. 본 연구가 기술경제 패러다임(techno-economic paradigm)의 시각에서 제시하는 한국경제의 성장 ${\cdot}$ 고용 ${\cdot}$ 분배를 위한 정책방향은 다음과 같은 동태적발전과정으로 요약할 수 있다 : 기초과학연구능력 확충 ${\rightarrow}$ 소화 ${\cdot}$ 흡수 ${\cdot}$ 개량 ${\rightarrow}$ 토착화 능력의 배양 ${\rightarrow}$ 자체기술개발, 선진기술 도입, 산업간 및 산업내 기술확산, 국제기술협력 ${\rightarrow}$ 기술혁신의 촉진 ${\rightarro

  • PDF

GIS based Effective Methodology for GAS Accident Management (GIS를 이용한 효율적인 가스사고관리 방법에 관한 연구)

  • 김태일;김계현;전방진;곽태식
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
    • /
    • 2004.03a
    • /
    • pp.399-406
    • /
    • 2004
  • 최근 급속한 도시의 팽창과 산업의 발전으로 인하여 가스시설은 급속히 확대되고 있는 실정이다. 이러한 가스시설물의 중요성을 인식하고 많은 도시가스업체에서는 가스관망 시설정보를 전산화하여 항상 최신의 현황을 유지할 수 있는 가스시설물관리시스템을 개발하여 사용하고 있다. 그러나 이러한 시스템은 가스시설물의 현황파악 및 유지관리를 위한 기본적인 기능만을 제공하는 관계로, 가스 누출사고 발생시 정확한 사태의 파악과 함께 신속한 대책 마련을 위한 의사결정 지원이 어려운 실정이다. 따라서 체계적인 가스사고관리를 수행할 수 있는 응용시스템의 필요성이 증대되고 있다. 이러한 시점에서 본 연구에서는 가스사고분석을 신속하고 체계적으로 수행할 수 있는 가스사고관리 적용알고리즘 분석 및 최적의 알고리즘을 정립하여 가스사고관리시스템을 구현하였다. 본 연구를 통한 결과는 1ㆍ2차 차단밸브의 산정이 가능해짐으로써 빈번한 가스 누출사고 발생시 실시간으로 적정대처방안의 제시가 가능하게 되었다. 또한, 누출 최대가스량을 제시함으로써 누출에 대한 피해예상 분석을 위한 정보 제공 및 가스의 신속한 재공급을 위해 필요한 의사결정 지원 정보의 제공이 가능하게 되었다. 아울러, 가스누출사고에 의한 가스공급중단 관로 및 수용가에 대한 속성현황의 파악은 물론 시각적인 도식을 통한 전체적 현황파악이 가능하였다. 이러한 가스사고관리시스템의 개발을 통하여 사고 발생시 신속한 사고방안 제시 및 사고피해의 최소화를 위해 필요한 의사결정 지원 정보의 제공이 가능하게 됨으로써 국민의 안전 및 복지와 도시가스업체의 업무 효율화로 인한 예산절감 효과를 기대할 수 있다. 가시권 분석기능을 이용하여 실제 지형공간상에서 전파경로 손실치를 도시화함으로써 전파관리자가 무선서비스지역 설계, 전파음영지역 판단, 최적 중계기와 기지국 위치 선정에 기여할 것으로 판단된다.하지 않은 지역과 서로 다른 분광특성을 나타내므로 별도의 Segment를 형성하게 된다. 따라서 임상도의 경계선으로부터 획득된 Super-Object의 분광반사 값과 그 안에서 형성된 Sub-Object의 분광반사값의 차이를 이용하여 임상도의 갱신을 위한 변화지역을 탐지하였다.라서 획득한 시추코아에 대해서도 각 연구기관이 전 구간에 대해 동일하게 25%의 소유권을 가지고 있다. ?스굴 시추사업은 2008년까지 수행될 계획이며, 시추작업은 2005년까지 완료될 계획이다. 연구 진행과 관련하여, 공동연구의 명분을 높이고 분석의 효율성을 높이기 위해서 시료채취 및 기초자료 획득은 4개국의 연구원이 모여 공동으로 수행한 후의 결과물을 서로 공유하고, 자세한 전문분야 연구는 각 국의 대표기관이 독립적으로 수행하는 방식을 택하였다 ?스굴에 대한 제1차 시추작업은 2004년 3월 말에 실시하였다. 시추작업 결과, 약 80m의 시추 코아가 성공적으로 회수되어 현재 러시아 이르쿠츠크 지구화학연구소에 보관중이다. 이 시추코아는 2004년 8월 중순경에 4개국 연구팀원들에 의해 공동으로 기재된 후에 분할될 계획이다. 분할된 시료는 국내로 운반되어 다양한 전문분야별 연구에 이용될 것이다. 한편, 제2차 시추작업은 2004년 12월에서 2005년 2월 사이에 실시될 계획이다. 수백만년에 이르는 장기간에 걸쳐 지구환경변화 기록이 보존되어 있는 ?스굴호에 대한

  • PDF

Improvement Direction of Middle & High School Exercise in the Morning by IPA (IPA 분석을 통한 중·고등학교의 아침운동 개선방안)

  • Lee, Keun-Mo;Lim, Soo-Woen;Lee, Hyuck-Gi;Kim, In-Hyung
    • 한국체육학회지인문사회과학편
    • /
    • v.55 no.2
    • /
    • pp.35-46
    • /
    • 2016
  • This study aims to observe the operation aspect of physical education during before class and further, to search for the utmost improvement direction using IPA (Importance-Performance Analysis). 500 middle & high school students have chosen through a purposeful sampling method, and 430 was used for analysis. The results were as follows. The quadrant I is "the keep up the good work" part. And the quadrant I includes "de-stress", "the pleasure of school life", "improvement in performance", "peer relationship", "help for P.E.", "health promotion", "sport facility surroundings", "rules", "teacher leadership", "passionate coaching", "fair coaching", "improvement in exercise ability", "understanding P.E." The quadrant II is "the concentrate here" part. And the quadrant II includes "develop talent", "excercise time", "safety management for exercise facility", "new sports event", "consider needs and interests", "consider level" "consider gender". The quadrant III is "the low priority" part. And the quadrant III includes "change of personality", "ability to do various sports event", "develope thinking ability". "communication with peer" "an intelligible explanation" In order to improve the quality of before classes, first, "safety connected program" second, "emotional and intellectual development program", third, "divided classes per level and gender", and the last, "professional manpower for developing the quality of class" are needed.

IMC Strategy of Sinhan Card for Building the Strong Brand Equity (신한카드 브랜드구축을 위한 IMC전략)

  • Ahn, Kwang Ho;Yoo, Chang Jo;Park, Woon Yong
    • Asia Marketing Journal
    • /
    • v.13 no.3
    • /
    • pp.249-264
    • /
    • 2011
  • Brand is the major enduring asset of a company and more valuable than the totality of specific products and facilities. Thus brands are powerful assets that must be carefully developed and managed. The company should design and implement marketing activities and marketing communication programs to build and grow the brand value. Strarbucks, Samsung Galaxy, and Nike brands get a price premium and generate strong customer loyalty. A power brand has high brand equity, which is the differential effect that brand knowledge has on consumer response to the marketing of that brand. Brand equity is created when brands have strong, favorable and unique brand associations with customers and high level of brand awareness. Therefore marketers in building a strong brand should ensure to develop the right type of customer experiences with products and effective integrated marketing communication(IMC) programs to create the brand equity. Since 2007 Sinhan card acquiring the LG card has developed the new brand identity and carefully managed the advertising campaign and other marketing communication mix tools to create the high brand awareness and differential brand image. In this case study we examine how Sinhan card with the goal of being No.1 brand in the credit card market has developed and implemented the IMC Strategy to build a high level of consumer brand awareness, unique brand image and strong customer relationship.

  • PDF

An Exploratory Study on Forecasting Sales Take-off Timing for Products in Multiple Markets (해외 복수 시장 진출 기업의 제품 매출 이륙 시점 예측 모형에 관한 연구)

  • Chung, Jaihak;Chung, Hokyung
    • Asia Marketing Journal
    • /
    • v.10 no.2
    • /
    • pp.1-29
    • /
    • 2008
  • The objective of our study is to provide an exploratory model for forecasting sales take-off timing of a product in the context of multi-national markets. We evaluated the usefulness of key predictors such as multiple market information, product attributes, price, and sales for the forecasting of sales take-off timing by applying the suggested model to monthly sales data for PDP and LCD TV provided by a Korean electronics manufacturer. We have found some important results for global companies from the empirical analysis. Firstly, innovation coefficients obtained from sales data of a particular product in other markets can provide the most useful information on sales take-off timing of the product in a target market. However, imitation coefficients obtained from the sales data of a particular product in the target market and other markets are not useful for sales take-off timing of the product in the target market. Secondly, price and product attributes significantly influence on take-off timing. It is noteworthy that the ratio of the price of the target product to the average price of the market is more important than the price ofthe target product itself. Lastly, the cumulative sales of the product are still useful for the prediction of sales take-off timing. Our model outperformed the average model in terms of hit-rate.

  • PDF