• 제목/요약/키워드: crowd

검색결과 314건 처리시간 0.031초

식민지 '미디어 효과론'의 구성 대중 통제 기술로서 미디어 '영향 담론' ('Media Influence' Discourses Articulated for Crowd Control in Colonial Korea)

  • 유선영
    • 한국언론정보학보
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    • 제77권
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    • pp.137-163
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    • 2016
  • 사진, 환등, 영화는 20세기 전반기의 경이롭고 마술적인 시각 기술, 1910년대 중반 상업적 가능성을 확인시킨 시기를 거쳐, 1920~1930년대 내내 문화적 패권을 향유한 유일한 미디어였다. 처음부터 근대적 오락으로 소비된 시각 미디어들에 대한 담론은 1920년대 초반까지 영화보다는 관객이 집합하는 공간인 극장 통제, 즉 군중 통제에 역점을 두고 구성되었다. 그러다 영화 자체가 현대적 문화와 미학의 표준이 된 1920년대 중반 이후 무성영화시대에는 당대의 지배적 학문 분야들인 심리학, 사회학, 대중 심리학의 개념과 이론을 적용하여 영화가 대중에게 미치는 강력한 도덕, 심리, 정신면의 부정적 영향을 강조하게 된다. 이데올로기 도구이자 동시에 근대 리얼리즘의 재현 매체로서 가능성을 지닌 시각 기술과 그것의 정점에 있는 영화의 영향을 부정적으로 규정해 간 것이다. 이 연구는 이러한 '식민적 미디어 영향 담론'이 처음부터 통치의 문제였으며 상업적 소비대중과 저항적 군중 통제를 위한 담론이었음을 주장하였다. 주목해야 할 사실은 이를 통해 일제의 식민지 통치성이 부단히 세계적, 보편적 사유와 지적흐름을 수용하면서 구성되어 갔지만 식민지 대중의 동의를 얻는 데는 실패한 담론이었다는 점이다.

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전북지역 중년기 여성들의 신체만족도와 유행지향성에 관한 연구 (A Study on the Body Cathexis and Fashion Orientation of Middle-aged Women in Chonbuk Province)

  • 김용숙
    • 대한가정학회지
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    • 제28권4호
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    • pp.177-189
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    • 1990
  • The purpose of this study were to measure the body cathexis and the characteristics of middle-aged women groups segmented by their fashion orientation. Self-administered questionaire method was used. Seven demographic variables, 9 self-images, body cathexis were included as independent variables. Fashion orientation developed by Gutman and Mills was used. Data was collected from 369 Middle-aged women in Chonbuk Province. Frequencies, Percentages, means, standard deviation were caculated. ANOVA, cluster analysis, and discriminant analysis were used for data analysis. The results were as follows: 1. The body cathexis of the subjects were lower than capital city and increased according to age. 2. The self-image of the subjects were down-to-earth, modern, conventional, playing it safe, confident, stable, reserved and blending out into a crowd. The subjects with the self-image of being more sophisticated, confident, creative, stood out in a crowd, or complicated life style had higher body cathexis. 3. When the subjects were divided into segmentations according to their fashion orientation by cluster analysis, the best suitable number of groups was seven. The characteristics of seven groups were: *Fashion negatives showed low levels of fashion leadership and fashion interest, and medium level of importance of being well-dressed, and high level of antifashion attitudes. *Fashion neutrals showed medium levels of fashion leadership, fashion interest, and importnace of being-well dressed, and low level of antifashion attitudes. *Fashion uninvolveds showed low levels of fashion leadership, fashion interest, and antifashion attitudes. *Fashion followers showed high levels of fashion interest and importance of being well dressed, but low levels of fashion leadership and antifashion attitudes. *Fashion independents showed a littel bit high levels of fashion leadership, fashion interest, and importance fo being well-dressed, but low level of antifashion attitudes. *Fashion rejectors showed low levels of fashion leadership, fashion interest, and importance of being well-dressed, but high level of antifashion attitudes. 4. The seven groups segemented by their fashion orientation showed significant differences according to the educational levels, employment status, and total monthly income. Fashion leaders and fashion independents had higher educational level and monthly income, and involved more women with jobs. 5. Fashion leaders had self-image of being most sophisticated modern, diffenrent, creative, sociable, stood out in a crowd, and complicated life style. Fashion rejectors had self-image of being most down-to-earth, traditional, conventional, stable, reserved, blend into a crowd, and simplified life style. 6. The most effective variables among body cathexis, demographic variabls and self-images in discirminating fashion oreintation group differences were different-conventional, creativestable, and employment status. The discriminating power of above variables were high in very low in discriminating fashion negatives, fashion neutrals, and fashion independents, and the total discriminating power of these variables was 32.25%.

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경주 쪽샘유적 적석목곽분의 특징과 과제 (Features and Issues of the Wooden Chamber Tomb Covered with Stone in Gyeongju Jjoksam-Site)

  • 박형열
    • 헤리티지:역사와 과학
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    • 제50권4호
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    • pp.222-251
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    • 2017
  • 본 글은 경주 쪽샘유적에서 확인된 적석목곽분의 특징을 분석하여 정리하고 향후 발굴의 방향성에 대하여 논한 것이다. 경주 쪽샘유적 적석목곽분에서는 6가지의 특징이 확인된다. 첫째, 지상식과 지하식 적석목곽분이 구분된다. 둘째, 분할성토와 적석부구조 등 축조양상이 확인된다. 셋째, 호석과 경계석, 잔자갈층, 제사시설 등 호석 전면부 구조가 확인된다. 넷째, 적석목곽분 간선후관계가 확인된다. 다섯째, 기 확인된 적석목곽분 범위와 크기가 밝혀져 기존자료의 불명확성을 해소했다. 여섯째, 적석목곽분의 군집단위가 확인된다. 이 여섯 가지의 특징을 정리하면 적석목곽분의 개별단위와 군집단위를 명확히 구분할 수 있다. 개별단위와 군집단위의 확인은 연접과 중복에 의해 어지럽게 위치한 적석목곽분의 크기와 범위를 분명하게 할 수 있다. 그리고 단위 간의 선후관계를 통해 형성과정을 엿볼 수 있다. 더불어 적석목곽분은 미고지에 목곽묘와 중층구조로 자리하며 선별적 위치선정을 보여준다. 이러한 분포양상과 형성과정을 정리하면, 경주 쪽샘유적 적석목곽분은 4단계의 과정을 거쳐 형성되는 것으로 파악된다. 이상의 적석목곽분의 개별단위와 군집단위의 확인과 형성과정을 기초로 향후 발굴조사에서 선택적 기획발굴을 할 수 있을 것으로 기대된다.

드론 영상을 활용한 다중객체의 밀집도 분석 연구 (A Study on the Density Analysis of Multi-objects Using Drone Imaging)

  • 장원석;김현수;박진만;한미선;백성채;박제진
    • 한국ITS학회 논문지
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    • 제23권2호
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    • pp.69-78
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    • 2024
  • 최근 CCTV 영상을 기반으로 인파사고를 예방하는 방안이 추진되고 있다. 그러나 CCTV는 공간적 한계점이 있어 이를 보완하기 위한 연구가 필요한 실정이다. 본 연구에서는 드론 영상을 사용하여 보행자의 밀도를 측정하는 연구를 수행하였다. 기존 연구문헌을 통해 군중의 인파사고 임계값인 1m2당 6.7명을 위험수준으로 선정하였다. 또한 드론의 파라미터를 도출하기 위해 선행연구를 수행한 결과, 고도 20m, 각도 60°에서 보행자의 인식률이 높은 것으로 나타났다. 이후 선행연구를 기반으로 보행자가 밀집한 대상지를 선정하여 밀집도를 측정한 결과, 단위 면적당 0.27~0.30명 수준으로 나타났다. 본 연구를 통해 드론 영상을 사용하여 대상지의 보행자 밀집도에 따른 위험수준 측정이 가능한 것으로 확인되었으며, 향후 인파사고 안전관리 대체 수단으로 활용이 가능할 것으로 판단된다.

결혼보조금이 결혼에 미친 영향: 2004-2018 한국의 결혼이민자를 중심으로 (The Effect of Marriage Subsidy on Marriages: Focusing on Marriage Immigrants in South Korea 2004-2018)

  • 박지현
    • 노동경제논집
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    • 제43권2호
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    • pp.1-39
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    • 2020
  • 이 연구는 2006년부터 한국의 일부 지자체에서 지원된 결혼보조금이 결혼에 미친 영향을 분석한다. 한국 남성과 외국인 여성 간의 국제결혼을 대상으로 한 결혼보조금은 국제결혼에 대한 경제적 유인을 증가시킨다. 2004-2018년 기간의 한국의 인구동향조사의 혼인 데이터를 기반으로 기초지자체(시군구) 및 연도별 결혼보조금 차이 및 이중차분법을 활용하여 분석한 결과, 결혼보조금은 비혼 한국 남성이 외국 여성과 결혼하는 확률을 통계적으로 유의하게 증가시켰다. 한국 여성과의 결혼에 대한 구축효과(crowd out effect)는 나타나지 않았으며, 결혼보조금이 전체결혼에 미치는 영향은 통계적으로 유의하게 양으로 나타났다. 세부그룹 분석 결과 결혼보조금이 나이가 많고 학력이 고졸인 남성에게 있어 가장 뚜렷하게 국제결혼을 증가시키는 효과를 보였다.

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하중제한이 기존건물의 옥상조경계획에 미치는 영향 (Influence of Load Limitation on the Roofspace Planning of Existing Buildings)

    • 한국조경학회지
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    • 제26권2호
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    • pp.166-180
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    • 1998
  • In a city where the greenery always lacks landscaping roofs of existing buildings offers a way to solve the problem. But the most serious problem that poses is the matter of load limit. At present most existing buildings have the loading capacity of 200 kg/$m^2$ or less on their roofs. If the natural soil is used the loading capacity is easily surpassed because it simply is too heavy. To alleviate this problem it is realized to introduce the light weight artificial soil. The specific gravity of light soil is 0.65 whereas the natural soil is 1.8 when wet. It is three times lighter than the natural soil, thus eases the burden to the roof. The next problem to be confronted is the plant species to plant. It is possible to plant trees but they soon outgrow the loading capacity by weighing 8 times heavier in 10 years. Therefore shrubs and perennials are suggested to be planted because they don't weigh much even when they reach the mature height. The last problem is the stress put on roofs by the weight of the users. By some unexpected event the crowd gathered on a weak roof can cause the structural damage or even the collapse of the roof. The avoid the possibility of collapse a plaza or big pocket should not be designed in a roof garden because they hold crowd. By following the suggested means the old roofs of existing buildings can turn into the urban oases in the sky.

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감시 영상에서 군중의 탈출 행동 검출 (Detection of Crowd Escape Behavior in Surveillance Video)

  • 박준욱;곽수영
    • 한국통신학회논문지
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    • 제39C권8호
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    • pp.731-737
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    • 2014
  • 본 논문에서는 감시 카메라 환경에서 발생할 수 있는 군중의 비정상 행동 검출 방법을 제안한다. 군중들의 비정상 행동을 산발적으로 퍼지면서 뛰는 행동, 한쪽 방향으로 갑자기 뛰는 행동 두 가지로 정의하였다. 이를 검출하기 위하여 영상에서 움직임 벡터를 추출하여 군중의 비정상 행동 검출에 적합한 서술자 MHOF(Multi-scale Histogram of Optical Flow)와 DCHOF(Directional Change Histogram of Optical Flow)제안하였으며, 이를 이진 분류기인 SVM(Support Vector Machine)을 이용하여 검출하였다. 제안한 방법은 공개 데이터셋인 UMN 데이터와 PETS 2009 데이터를 이용하여 성능을 평가하였고 다른 방법론과의 비교를 통해 제안하는 알고리즘의 우수성을 입증하였다.

Do Government Subsidies Crowd In or Crowd Out R&D Investment? Evidence from China's Animal Husbandry Companies

  • XU, Jian;SIM, Jaewoo
    • Asian Journal of Business Environment
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    • 제10권4호
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    • pp.5-13
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    • 2020
  • Purpose: The purpose of this paper is to empirically investigate the relationship between government subsidies and research and development (R&D) investment of animal husbandry companies in China. The moderating effects of firm size, debt ratio, and firm profitability on this relationship are also examined. Research design, data and methodology: The analysis is based on 14 animal husbandry companies listed on the Shanghai and Shenzhen stock exchanges over the period of 2012-2016. Data are obtained from the China Stock Market & Accounting Research (CSMAR) database and the RESSET database, and multiple regression analysis is utilized with the aid of Stata. Results: The empirical results show that government subsidies can promote R&D investment of animal husbandry companies in China. In addition, firm size, debt ratio, and firm profitability have positive moderating effects on the relationship between government subsidies and R&D investment. Conclusions: Based on the results, the paper concludes that government subsidies play an important role in the process of R&D of China's animal husbandry companies. This paper recommends that managers of animal husbandry companies should enhance the utilization efficiency of government subsidies and put great emphasis on R&D investment. The policymakers should implement more incentives to encourage animal husbandry companies to invest more in R&D.

Crowd Activity Recognition using Optical Flow Orientation Distribution

  • Kim, Jinpyung;Jang, Gyujin;Kim, Gyujin;Kim, Moon-Hyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권8호
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    • pp.2948-2963
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    • 2015
  • In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.

현대 패션 산업에 나타난 크라우드소싱 디자인에 관한 연구 (Crowdsourcing design in contemporary fashion industry)

  • 박혜원
    • 복식문화연구
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    • 제25권6호
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    • pp.893-912
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    • 2017
  • Crowdsourcing models in which organizaions obtain needed product ideas and services from a crowd in a network-based society are rising as a global industry trend. The purpose of this study was to figure out the types and characteristics of crowdsourcing design shown in the domestic fashion brands, and to provide implications for design strategies using crowdsourcing. This study was based on qualitative research which was brand case studies on crowdsourcing design in the fashion industry from January 2006 to July 2017. Also, quantitative analysis using frequency and percentage was applied. The results were as follows: First, crowdsourcing design was used in almost all types of fashion brands, such as sports and outdoor wear, men's wear, women's wear, men's and women's casual wear, shoes, bags, school uniforms, jeans, accessories, etc. Crowdsourcing design in the fashion industry was classified into three types: crowdsourcing graphics and artwork; crowdsourcing customized designs; and crowdsourcing product designs. Of the three types, crowdsourcing graphics and artwork was used most. There were four methods to choose the best crowsourced design: review only by experts, voting by crowd and review by experts, crowdvoting, and crowdfunding. Second, the characteristics of crowdsourcing design were openness, participation, reward and acknowledgement, sharing and interaction, and individualized collective intelligence. Crowdsourcing design could be used as an open innovation strategy in the fashion industry, which could collect new and creative design ideas for product development, resulting in the satisfaction of consumers and benefitting the company.