• Title/Summary/Keyword: 실제주의

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An Eyetracking Study on the Measurement of Newspaper Advertising Exposure Effects : Comparison with Data Collected by Recognition Measurement (안구운동 추적을 활용한 신문광고 노출효과 측정 방법론 연구 : 보조인지 설문 응답과 비교를 통하여)

  • An, Byung-Wook;Jung, Dae-Hoon;Lee, Joon
    • 한국HCI학회:학술대회논문집
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    • 2007.02b
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    • pp.136-144
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    • 2007
  • 1990년대 후반까지 줄곧 광고 시장 점유율 1위를 차지하던 신문광고가 2001년을 기점으로 광고 시장 점유율의 지속적인 하락세를 보이고 있다. 이는 인터넷과 같은 경쟁적인 뉴미디어가 급격히 성장하는 데 그 원인이 있을 뿐만 아니라, 신문의 광고효과를 산출하는 과학적 방법론이 부족하다는 데에도 그 원인이 있다. 이러한 문제의식에서 출발하여, 본 연구에서는 안구운동 추적(eyetracking)을 활용하여 신문광고의 노출효과를 측정했다. 이를 위하여, 기존 신문 구독자의 인구통계학적 분포에 따라 추출된 50명의 표본을 대상으로, 신문의 면내 광고별 체류시간을 헤드 마운트형 안구운동 추적기(head-mounted eyetracker)를 활용하여 측정했다. 실험 결과, 데이터의 95%가 기존의 주의-기억 단계를 따르는 순차적인 정보처리모델과 스타치 구독률 조사(starch readership reports) 결과와 안구운동 추적 결과와 일치했다. 하지만, 5%의 데이터가 주의와 기억 단계의 차이에 기인한 이월 효과(carry-out)로 순차적인 정보처리모델과 일치하지 않는 것으로 나타났다. 즉 5%가량이 광고를 보지 않았음에도 봤다고 표시했다. 또한, 기존에 스타치 구독률 조사와 같은 재인 측정 방법을 통하여 간접적으로 측정하였던 기존의 신문 광고 노출율(보통 30%)에 비하여, 직접 측정한 결과 60%에 달하는 광고 노출율을 보였다. 이는 기존의 인식과 달리, 스타치 구독률 조사가 단순 노출 정도가 아니라, 응답자의 선택적인 기억 결과를 측정한 것임을 보여준다. 이로써, 안구운동 추적을 활용한 노출효과측정은 기존에 스타치 구독률 조사에서 놓치고 있는 부분을 보완할 수 있는 기법임을 보여준다. 또한 이 기법에 의하여 도출된 노출율은 60%에 달하여 기존의 약30%로 제시된 연구결과들이 실제로 측정기법의 한계로 인하여, 기억이 가지고 있는 왜곡을 그대로 반영한 노출율에 관한 자료를 쓰는 것으로 나타났다. 본 연구에서 제안된 노출효과 측정방법론은 기존의 왜곡된 데이터를 보완하고, 신문 광고 시장의 과학적인 측정기법을 발전시키는 데 의미 있는 기여를 할 것으로 기대한다.

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Analysis of Medical Disputes Precedent (의료분쟁 판례분석)

  • Im, Bock-Hee
    • The Journal of the Korea Contents Association
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    • v.10 no.11
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    • pp.294-303
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    • 2010
  • Unexpected results caused by medical service are defined as malpractice, and the doctor must bear the responsibilities following the medical treatment. Malpractice disputes are disputes between patients, who are seen as the only victim in this way, and medical personnel who do not admit to the charges. Unfortunately, in reality, an official approach to mutual understanding and communication in the instance of such disputes does not exit. Based on this background, this study was attempted to prevent similar forms of medical disputes from occurrence and provide fundamental data to prepare by analyzing the medical disputes precedent. Results of the study are as follows: First, For type of medical institution, hospitals accounted for the most part as 62.9%. Second, Among total medical disputes, the cases surgery accounted for 27.8%, violation of duty care accounted for 20.6% and that of medical treatments 11.3%. Third, For a mean agreed amount by medical department, it was the highest in obstetrics & gynecology as 38,384,000 won. In conclusion, the most desirable method of dispute resolution is to prevent a cause of dispute to the root.

The Image Processing System for Volume Gains Rate Measurement of Pigs

  • Kwak, Ho-Young;Chang, Jin-Wook
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.12
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    • pp.127-134
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    • 2019
  • In this paper, we designed and implemented a system for automatically measuring pig growth rate using image. Pig breeding is a very important factor because the breeding rate of pigs is directly linked to the rancher's economic interests in order to raise them in livestock farms. Therefore, there is a demand for a method for easily measuring the growth rate of each pig. As a method for this, an image analysis algorithm for measuring the growth rate of pigs is presented by taking a plan view of the pig. In addition, the proposed algorithm was implemented to measure the surface area of swine and to express it as the rate of gain. The proposed method in this paper makes it possible to easily measure the individual growth rate of pigs to meet the needs of farmers. In the future, we will improve the algorithm to calculate the volume so that the same value as the actual measurement can be obtained.

Effects of Relationship Characteristics on the Adoption of Online Distribution Channels: The Case of Korean Manufacturing Companies (중간상과의 거래특성이 제조업체의 온라인 경로 활용에 미치는 영향)

  • 이민권;임영균
    • Journal of Distribution Research
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    • v.9 no.1
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    • pp.67-92
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    • 2004
  • This study investigates the effects of relationship characteristics on the adoption of online distribution channels in Korea. A questionnaire survey of 81 domestic manufacturing companies revealed that relationship characteristics have no effects on the range of products sold through online channels. In terms of functional usage, manufactures' dependence and their perceptions of middlemen's opportunism were found to affect the extent of adoption of online channels. Overall, these two variables were significantly related to such functions as delivery, refunding, and A/S that have been traditionally considered efficient when implemented by the middlemen. None of the relationship characteristics was found significantly related to the adoption of online channels as a tool of information provision. The authors discuss the theoretical and practical implications of the findings.

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Learning with information in an infomration-rich environment (풍부한 정보 환경에서 정보와 함께 하는 학습: 인지기술 활용을 중심으로)

  • Chung, Jin-Soo
    • Journal of the Korean Society for information Management
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    • v.20 no.4 s.50
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    • pp.135-158
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    • 2003
  • The Purpose of this study is to investigate how information use contributes to learning. Conducted as part of a larger study, this study focuses on learning by analyzing students' use of cognitive skills during the Process of using information. Within the broad methodological framework of qualitative research in constructivist paradigm (Guba and Lincoln, 1998), the study applied the revised Bloom's taxonomy (Anderson and Krathwohl, 2000) as a particular framework to understand the Phenomenon. Participants included 21 high school juniors in an honors' class of persuasive speech. The study's combinational use of two techniques -concept mapping and individual interview - in a naturalistic setting Proved to be the unique methods for researching the reflection of information use in learning Products. The results revealed that changes in students' understanding occured in four types - simple, analytic, organizational, and holistic changes. The analysis using the revised Bloom's taxonomy showed that a variety of cognitive skills were used during the whole process of information use and that the use of higher levels of cognitive skills is particularly crucial.

On sampling algorithms for imbalanced binary data: performance comparison and some caveats (불균형적인 이항 자료 분석을 위한 샘플링 알고리즘들: 성능비교 및 주의점)

  • Kim, HanYong;Lee, Woojoo
    • The Korean Journal of Applied Statistics
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    • v.30 no.5
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    • pp.681-690
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    • 2017
  • Various imbalanced binary classification problems exist such as fraud detection in banking operations, detecting spam mail and predicting defective products. Several sampling methods such as over sampling, under sampling, SMOTE have been developed to overcome the poor prediction performance of binary classifiers when the proportion of one group is dominant. In order to overcome this problem, several sampling methods such as over-sampling, under-sampling, SMOTE have been developed. In this study, we investigate prediction performance of logistic regression, Lasso, random forest, boosting and support vector machine in combination with the sampling methods for binary imbalanced data. Four real data sets are analyzed to see if there is a substantial improvement in prediction performance. We also emphasize some precautions when the sampling methods are implemented.

A Study on Factors of Elderly Residential Care Service Utilization for using Decision Tree Regression (의사결정분석을 이용한 우리나라 노인의 요양시설서비스 이용 결정요인에 관한 연구)

  • Lim, Jeong-Gi
    • Korean Journal of Social Welfare
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    • v.60 no.3
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    • pp.129-150
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    • 2008
  • This study examined the factors affecting service utilization of elderly residential care among long term care services recipients during long term care insurance pilot project period in Korea. Help-seeking Behavior model developed by Andersen and Newman(1973) was used to analyze the factors affecting their utilization residential care service among 1,939 long term care services recipients. Frequency and Decision Tree Regression analysis on SPSS 13.0 used. Analyses show strong significant factor is service preference(predisposing factors), and then significant factors are enabling factors such as co-residence type, household income. According to this results, need factors such as cognition disorder, problem behavior, ADL and IADL disabilities are affecting utilization behavior of elderly residential care services. These findings provide implications and suggestions about how long term care service system would be settled in Korea. And these finding provide information about target-efficient long term care continuum system to policy makers and helping professionals.

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Analysis and Prospect on the Terrorism in China: Focusing on the Xinjiang Uighur (중국의 테러리즘 분석과 그 전망: 신장 위구르족을 중심으로)

  • Lee, Dae-Sung;Kim, Tae-Jin
    • The Journal of the Korea Contents Association
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    • v.14 no.9
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    • pp.218-226
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    • 2014
  • China has become a G-2 Superpower country as result of rapid economic growth through the reform and opening-up in these days. It expressed its confidence by helding a few big international events, such as Bejing Olympic Games. Shanghai Expo. Though most Chinese people give their agreement and support to the government, there are serious, ill-concealed political problems behind the curtain in China. As a multi-ethnic nation, China has repeated experience of fragmentation and integration of various ethnic groups through her long history. In spite of top-level political leaders of communist party always concern the issues of separatism very sensitively, China has suffered occasional bloodshed terrorism because of erupting ethnic and religious conflicts. Especially there are many disruption and fear due to the bloodshed and terrorism by a minority race-seperatists of Uighur tribe in Xinjiang province. The Uighur in Xinjiang province is very different from major Chinese Han ethnically and culturally. Although Chinese government has presented various policies in order to suppress the Uighus's desire for seperation, they have not been able to offer a fundamental, satisfying solution. Because we, Korean people face the expansion of possibility of conflicts, such as increasing of foreign workers, multi-cultural families and extremists. At this point, I believe we can learn valuable lessons from Chinese experiences for anti-terrorism.

한국(韓國)의 분배문제(分配問題) : 현황(現況), 문제점(問題點)과 정책방향(政策方向)

  • Lee, Jeong-U;Hwang, Seong-Hyeon
    • KDI Journal of Economic Policy
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    • v.20 no.1_2
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    • pp.153-230
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    • 1998
  • 우리나라의 소득분배문제에 대해서 종래에는 적어도 1980년대 이후 개선되고 있으며, 국제비교에서도 다른 나라에 비해 결코 나쁘지 않다는 평가가 주류를 이루고 있었으나, 최근에는 그에 대한 반론이 만만치 않게 전개되고 있다. 본고에서는 "도시가계연보"의 원자료를 이용한 새로운 추계를 시도하여 1980년대의 소득분배가 지금까지의 통설처럼 그렇게 많이 개선된 것은 아니라는 결과를 제시하였다. 마찬가지로 일부의 반론처럼 1980년대의 소득분배가 실제로 악화되었다는 주장도 과장일 가능성이 크다는 점도 지적하였다. 단, 근로소득의 분배가 개선되고 있음은 분명하나 토지나 주식 등에 의한 불로소득까지 포함하면 결과는 크게 달라질 수 있다. 이 문제의 검증은 아직 끝난 것이 아니며, 올바른 결론에 도달하기 위해서는 앞으로 보다 많은 자료들이 발굴, 분석되어야 할 것이다. 한국의 자산분배에 대해서는 지금까지 자료가 별로 없어서 논의 자체가 어려운 상태였다. 최근 대우경제연구소의 패널 자료를 분석해본 결과, 한국의 부의 분배는 지금까지 알려진 것보다 훨씬 더 불평등하며, 특히 토지 등 실물자산의 불평등이 심각한 것으로 나타났다. 한편 한국의 빈곤은 많이 줄어든 것이 사실이며, 다른 후진국과 비교해서 빈곤 축소에 큰 성과를 거둔 것으로 평가된다. 본고에서 좀더 현실적인 최저생계비를 가정하여 분석해본 결과 한국의 빈곤은 물론 많이 줄어들었지만 아직 상당히 남아 있으며, 빈곤의 크기 자체(빈곤 갭)는 그다지 크지 않은 것으로 나타났다. 본고에서는 이러한 연구결과에 기초해서 우리나라의 분배문제에 대한 평가를 내리고 효율성과 형평성의 조화라는 관점에서 정책의 기본방향을 설정하였으며, 조세정책가 재벌정책에 초점을 맞추어서 정책방향을 논의하였다. 분배정의 관점에서, 우리나라의 세제는 직접세 비중을 높이고, 종합토지세, 상속 증여세 등 재산관련 세제의 기능을 강화하며, 근로자와 비근로자간 세부담의 형평성을 제고하는 방향으로 개편되어야 한다. 그리고 재별의 소유분산 자체보다는 재벌이 자행할 수 있는 경제적 부조리를 막기 위한 장치를 강화하는 것이 중요하다. 상속 증여세제 등의 강화나 기업경영의 투명성을 제고하기 위한 감시장치가 강화되어야 할 것이다. 특히 자유주의자가 강조하는 '정당한 권리의 원칙'으로서 '부정의의 시정'의 원칙이 보다 적극적으로 반영될 수 있어야 하며, 이러한 주장 자체가 시장 메커니즘을 옹호하는 진정한 자유주의 원칙에 입각하고 있다는 점이 강조되어야 할 것이다.

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Shadow Removal based on the Deep Neural Network Using Self Attention Distillation (자기 주의 증류를 이용한 심층 신경망 기반의 그림자 제거)

  • Kim, Jinhee;Kim, Wonjun
    • Journal of Broadcast Engineering
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    • v.26 no.4
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    • pp.419-428
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    • 2021
  • Shadow removal plays a key role for the pre-processing of image processing techniques such as object tracking and detection. With the advances of image recognition based on deep convolution neural networks, researches for shadow removal have been actively conducted. In this paper, we propose a novel method for shadow removal, which utilizes self attention distillation to extract semantic features. The proposed method gradually refines results of shadow detection, which are extracted from each layer of the proposed network, via top-down distillation. Specifically, the training procedure can be efficiently performed by learning the contextual information for shadow removal without shadow masks. Experimental results on various datasets show the effectiveness of the proposed method for shadow removal under real world environments.