• 제목/요약/키워드: Historical novel

검색결과 109건 처리시간 0.027초

텍스트로서의 소설에 나타난 상징의 의미분석 방법론과 그 적용 (An Interpretative Theory of Symbolic Meaning Described in Novels as Text and Its Application)

  • 유지헌;한명숙;박부진
    • 복식문화연구
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    • 제4권1호
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    • pp.29-41
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    • 1996
  • A 'TEXT' is a basic unit of culture. It is also the whole of culture organization which is generalizing a culture. Literary texts which are reflection of the culture could be understood as historical discourse. This thesis which is based on the 'Semiotic theory', 'Victor Turner's Performance theory', and Sung Man Lee's 'Information Model', classified the type of meaning to explain how to communicate the meaning of thing which were described in novels, for examples, background, dress, dialogue, era, etc. An interpreter (reader) should understand the culture described in novels to clarify the ambiguous significance. An interpretative theory of symbolic meaning described in text was presented in this thesis, and it was applied to analysis Myung Hee Choi's novel, 'Honbul'.

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<바람과 함께 사라지다>의 복식 분석 - 여주인공 복식을 중심으로 - (An Analysis of The Costume in - In the Reference to Scarlett O'Hara's Costume -)

  • 서은주;한명숙
    • 복식문화연구
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    • 제5권2호
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    • pp.285-295
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    • 1997
  • This dissertation aims to study a role and importance of clothing as a visual transmission system, with investigating the system and structure of a pragmatics in a cinema costume and analyzing what the meaning of a pragmatics is, depending on the circumstance on the circumstance on the basis of pragmatics. It examines as an objective the clothes of Scarlett, a heroine in 'Gone with the Wind's film originated from the novel written by Margaret Mitchell. As a result of this study, the movie costumes demonstrate a purposed transmission medium as a describing tool governing comprehensive circumstances in the process of drama. The costume plays a significant role in delivering a meaning of a movie showing historical backgrounds, social situations, and psychological description, status, characteristics, tastes of characters by means of their costumes in the movie.

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Crime hotspot prediction based on dynamic spatial analysis

  • Hajela, Gaurav;Chawla, Meenu;Rasool, Akhtar
    • ETRI Journal
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    • 제43권6호
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    • pp.1058-1080
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    • 2021
  • Crime is not a completely random event but rather shows a pattern in space and time. Capturing the dynamic nature of crime patterns is a challenging task. Crime prediction models that rely only on neighborhood influence and demographic features might not be able to capture the dynamics of crime patterns, as demographic data collection does not occur frequently and is static. This work proposes a novel approach for crime count and hotspot prediction to capture the dynamic nature of crime patterns using taxi data along with historical crime and demographic data. The proposed approach predicts crime events in spatial units and classifies each of them into a hotspot category based on the number of crime events. Four models are proposed, which consider different covariates to select a set of independent variables. The experimental results show that the proposed combined subset model (CSM), in which static and dynamic aspects of crime are combined by employing the taxi dataset, is more accurate than the other models presented in this study.

지노비요프의 호모 소비에티쿠스론(論) 읽기 (On Zinoviev's Homo Sovieticus)

  • 심지은
    • 비교문화연구
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    • 제21권
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    • pp.87-111
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    • 2010
  • This research examines the concept of 'homo sovieticus' by reviewing the sociological essay novel homo sovieticus written by Zinoviev who was one of the well-known dissident in Soviet Union period, and attempts to have critical understanding of the concept. It is an interesting research topic that current Russia and Russians who get through the historical layers from Soviet to post-Soviet regime at the time current trend that allows to have various academic discussions of post-Soviet. It is required to examine the past of Russia and Russian to make precise estimation of their current and future. Therefore, it is necessary to re-examine the term of 'homo sovieticus' which is conventionally accepted. This research aims at broad comprehension of homo-sovieticus by focusing on the Zinoviev's own understanding instead of the habitual use of the term which only contains ideological and political intention.

The Impossible Anamnesis Memory versus History in Hubert Aquin's Blackout

  • Dupuis, Gilles
    • 비교문화연구
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    • 제20권
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    • pp.225-240
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    • 2010
  • Soon after joining the Canadian Confederation in 1867, the province of Quebec adopted the phrase Je me souviens ("As I recall") as its 'national' motto, although many Qu?b?cois do not remember today what they were supposed to memorize, as collective subject, when their government voted this motion. My thesis is that contrary to other countries which have a strong sense of history based on a secular tradition, this process was more complicated in Quebec - as if a collective memory loss lied at the heart of it's history. Through a rereading of Hubert Aquin's cult novel, Trou de m?moire (in its English translation Blackout), first published in 1968, I try to illustrate this paradox and to emphasize the heuristic functions of memory blanks, gaps and lapses in certain postmodern narratives, after the historical breakdown of "the great narratives" (Lyotard). In this perspective, the example of Quebec, through the voice of one of its more gifted yet controversial novelist, can be seen as emblematic of what happens when the mnemonic impossibility of rewriting history opens up new possibilities for writing fiction.

Machine Learning Based Neighbor Path Selection Model in a Communication Network

  • Lee, Yong-Jin
    • International journal of advanced smart convergence
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    • 제10권1호
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    • pp.56-61
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    • 2021
  • Neighbor path selection is to pre-select alternate routes in case geographically correlated failures occur simultaneously on the communication network. Conventional heuristic-based algorithms no longer improve solutions because they cannot sufficiently utilize historical failure information. We present a novel solution model for neighbor path selection by using machine learning technique. Our proposed machine learning neighbor path selection (ML-NPS) model is composed of five modules- random graph generation, data set creation, machine learning modeling, neighbor path prediction, and path information acquisition. It is implemented by Python with Keras on Tensorflow and executed on the tiny computer, Raspberry PI 4B. Performance evaluations via numerical simulation show that the neighbor path communication success probability of our model is better than that of the conventional heuristic by 26% on the average.

Madness, the Smile, and Transnational Connections in "A Whisper in the Dark"

  • Jin, Seongeun
    • 미국학
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    • 제44권1호
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    • pp.137-154
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    • 2021
  • Due to her successful novel Little Women (1869), Louisa May Alcott has generally become known as a writer of sentimental fiction. However, her thrillers demonstrate her keen insights into domestic and international issues. Alcott's so-called "left hand" shows her stances on political and historical issues in America as well as in Europe and Asia. Particularly, Alcott's supporting voice for women against social prejudices is metaphorically portrayed in "A Whisper in the Dark" (1861). Interestingly, in the story Alcott displays her knowledge of the drug trades and the cultural effects of white male colonizers exploiting other peoples and countries around the globe, which were issues that she had learned about from neighboring intellectuals and newspapers. In the paper, I examine Alcott's radical views on gender equality, chauvinistic attitudes, and transnational politics in the mid-nineteenth century.

Shared Spatio-temporal Attention Convolution Optimization Network for Traffic Prediction

  • Pengcheng, Li;Changjiu, Ke;Hongyu, Tu;Houbing, Zhang;Xu, Zhang
    • Journal of Information Processing Systems
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    • 제19권1호
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    • pp.130-138
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    • 2023
  • The traffic flow in an urban area is affected by the date, weather, and regional traffic flow. The existing methods are weak to model the dynamic road network features, which results in inadequate long-term prediction performance. To solve the problems regarding insufficient capacity for dynamic modeling of road network structures and insufficient mining of dynamic spatio-temporal features. In this study, we propose a novel traffic flow prediction framework called shared spatio-temporal attention convolution optimization network (SSTACON). The shared spatio-temporal attention convolution layer shares a spatio-temporal attention structure, that is designed to extract dynamic spatio-temporal features from historical traffic conditions. Subsequently, the graph optimization module is used to model the dynamic road network structure. The experimental evaluation conducted on two datasets shows that the proposed method outperforms state-of-the-art methods at all time intervals.

Detecting Red-Flag Bidding Patterns in Low-Bid Procurement for Highway Projects with Pattern Mining

  • Le, Chau;Nguyen, Trang;Le, Tuyen
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.11-17
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    • 2022
  • Design-bid-build (DBB) is the most common project delivery method among highway projects. State Highway Agencies (SHAs) usually apply a low-bid approach to select contractors for their DBB projects. In this approach, the Federal Highway Agency suggests SHAs heighten contractors' competition to lower bid prices. However, these attempts may become ineffective due to collusive bidding arrangements among certain contractors. One common strategy is the rotation of winning bidders of a group of contractors who bid on many of the same projects. These arrangements may also be specific to a particular region or vary in time. Despite the practices' adverse effects on bidding outcomes, an effective model to detect red-flag bidding patterns is lacking. This study fills the gap by proposing a novel framework that utilizes pattern mining techniques and statistical tests for unusual pattern detection. A case study with historical data from an SHA is conducted to illustrate the proposed framework.

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대장금(大長今)' 관련 기록의 현대적 수용 - 문화콘텐츠로의 생성과 전개 양상 분석 - (The related record about 'Daejanggeum' and its modern acceptance)

  • 남은경
    • 동양고전연구
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    • 제43호
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    • pp.33-64
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    • 2011
  • 2003년 텔레비전 사극(史劇)으로 방영된 드라마 <대장금(大長今)>은 원래 조선조 "중종실록(中宗實錄)"에 등장하는 궁중 여의(女醫)에 관한 단편적 역사기록을 토대로 만들어낸 이야기이다. 허구와 역사적 사실을 결합해 만들어낸 사극 <대장금>은 엄청난 인기를 끌면서 방송 드라마로만 끝나지 않고, 소설과 뮤지컬, 그리고 어린이용 애니메이션으로 재탄생하였다. 또한 드라마 촬영 장소는 테마파크로 만들어져 관광객을 유치하였고, '대장금'이란 이름은 각종 상품명으로 쓰이며 엄청난 부가가치를 창출해내었다. 무엇보다 이 드라마는 해외에도 수출되어 한류(韓流) 드라마의 대표작이 되었다. 이렇듯 <대장금>은 과거의 고전 자료가 다양한 현대적 문화콘텐츠로 활용되어 성공할 수 있음을 증명한 대표적인 작품이라 할 수 있다. <대장금>의 성공 원인을 분석해보면 현대적인 새로운 여성인물을 창조해내었고, 웰빙을 추구하는 시대 흐름에 맞는 소재의 선택, 기존 사극과는 스토리 전개로 드라마 시나리오가 매우 탄탄했다는 점을 들 수 있다. 또한 드라마 방영 전부터 '원소스멀티뉴즈(one source multi use)'의 방식을 활용하여 다양한 문화콘텐츠들을 제작해낼 준비를 함께 했다는 점이 주목된다. 이러한 대장금의 성공은 우리 고전 연구자에게 '고전의 현대적 수용'이라는 측면에서 시사하는 바 크다.